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Zuziak M, Ezzati M. Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults. Lancet 2024; 403:1027-1050. [PMID: 38432237 PMCID: PMC7615769 DOI: 10.1016/s0140-6736(23)02750-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/22/2023] [Accepted: 12/05/2023] [Indexed: 03/05/2024]
Abstract
BACKGROUND Underweight and obesity are associated with adverse health outcomes throughout the life course. We estimated the individual and combined prevalence of underweight or thinness and obesity, and their changes, from 1990 to 2022 for adults and school-aged children and adolescents in 200 countries and territories. METHODS We used data from 3663 population-based studies with 222 million participants that measured height and weight in representative samples of the general population. We used a Bayesian hierarchical model to estimate trends in the prevalence of different BMI categories, separately for adults (age ≥20 years) and school-aged children and adolescents (age 5-19 years), from 1990 to 2022 for 200 countries and territories. For adults, we report the individual and combined prevalence of underweight (BMI <18·5 kg/m2) and obesity (BMI ≥30 kg/m2). For school-aged children and adolescents, we report thinness (BMI <2 SD below the median of the WHO growth reference) and obesity (BMI >2 SD above the median). FINDINGS From 1990 to 2022, the combined prevalence of underweight and obesity in adults decreased in 11 countries (6%) for women and 17 (9%) for men with a posterior probability of at least 0·80 that the observed changes were true decreases. The combined prevalence increased in 162 countries (81%) for women and 140 countries (70%) for men with a posterior probability of at least 0·80. In 2022, the combined prevalence of underweight and obesity was highest in island nations in the Caribbean and Polynesia and Micronesia, and countries in the Middle East and north Africa. Obesity prevalence was higher than underweight with posterior probability of at least 0·80 in 177 countries (89%) for women and 145 (73%) for men in 2022, whereas the converse was true in 16 countries (8%) for women, and 39 (20%) for men. From 1990 to 2022, the combined prevalence of thinness and obesity decreased among girls in five countries (3%) and among boys in 15 countries (8%) with a posterior probability of at least 0·80, and increased among girls in 140 countries (70%) and boys in 137 countries (69%) with a posterior probability of at least 0·80. The countries with highest combined prevalence of thinness and obesity in school-aged children and adolescents in 2022 were in Polynesia and Micronesia and the Caribbean for both sexes, and Chile and Qatar for boys. Combined prevalence was also high in some countries in south Asia, such as India and Pakistan, where thinness remained prevalent despite having declined. In 2022, obesity in school-aged children and adolescents was more prevalent than thinness with a posterior probability of at least 0·80 among girls in 133 countries (67%) and boys in 125 countries (63%), whereas the converse was true in 35 countries (18%) and 42 countries (21%), respectively. In almost all countries for both adults and school-aged children and adolescents, the increases in double burden were driven by increases in obesity, and decreases in double burden by declining underweight or thinness. INTERPRETATION The combined burden of underweight and obesity has increased in most countries, driven by an increase in obesity, while underweight and thinness remain prevalent in south Asia and parts of Africa. A healthy nutrition transition that enhances access to nutritious foods is needed to address the remaining burden of underweight while curbing and reversing the increase in obesity. FUNDING UK Medical Research Council, UK Research and Innovation (Research England), UK Research and Innovation (Innovate UK), and European Union.
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Daly AN, O'Sullivan EJ, Walton J, Kehoe L, McNulty BA, Flynn A, Kearney JM. Determining the food choice motivations of Irish teens and their association with dietary intakes, using the Food Choice Questionnaire. Appetite 2023; 189:106981. [PMID: 37499761 DOI: 10.1016/j.appet.2023.106981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 07/20/2023] [Accepted: 07/24/2023] [Indexed: 07/29/2023]
Abstract
During adolescence, teens start making their own food choices. While health and nutrition are important, practical and social concerns are also influential. This study aims to determine factors that motivate the food choices of Irish teens (using Food Choice Questionnaire), using data from the National Teens' Food Survey II (N = 428, 50% male, 13-18 years), and to identify how these motivations relate to dietary intakes (4-day semi-weighed food diaries). Data analysis used PCA to determine the food choice motivation subscales, and correlation and comparative statistical tests (t-test, ANOVA). Eight motivating factors were identified for Irish teens: Sensory Appeal, Price & Availability, Health & Natural Content, Familiarity, Ease of Preparation, Mood, Weight Control, and Ethical Concerns. Health and practical aspects to food choice (Price, Availability, Ease of Preparation) are important for teens, but taste (Sensory Appeal) remains a key influence. Food choice motivations vary by sex and by age, BMI status and weight perception, where girls were more motivated by health, weight control, mood and ethical concerns, and older teens were more influenced by mood and ease of preparation. Both those classified as overweight and those who perceived they were overweight were motivated more by weight control and mood for their food choices, whereas those who perceived their weight to be correct placed more importance on health and natural content. Those motivated by weight control had lower energy and higher protein intakes, and those motivated by health and natural content had more health promoting behaviours, with higher physical activity, lower screen time, and higher protein intakes. Understanding the motivations of teens' food choice can help understand why they struggle to meet dietary recommendations, and help to develop more effective health promotion messages by capitalising on the key motivations in the population.
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Affiliation(s)
- Aisling N Daly
- Oxford Brookes Centre for Nutrition and Health, Sinclair Building SNC 3.08, Gipsy Lane, Headington, Oxford, OX3 0BP, USA.
| | - Elizabeth J O'Sullivan
- School of Biological, Health, and Sports Sciences, Technological University Dublin, Dublin, Ireland
| | - Janette Walton
- Department of Biological Sciences, Munster Technological University, Cork, Ireland
| | - Laura Kehoe
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Breige A McNulty
- Institute of Food and Health, School of Agriculture and Food Science, Science Centre - South, University College Dublin, Belfield, Dublin 4, Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - John M Kearney
- School of Biological, Health, and Sports Sciences, Technological University Dublin, Dublin, Ireland
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KM, Malyutina SK, Maniego LV, Manios Y, Manix MI, Mann JI, Mansour-Ghanaei F, Manyanga T, Manzato E, Marcil A, Margozzini P, Mariño J, Markaki A, Markey O, Ioannidou EM, Marques-Vidal P, Marques LP, Marrugat J, Martin-Prevel Y, Martin R, Martorell R, Martos E, Maruszczak K, Marventano S, Masala G, Mascarenhas LP, Masoodi SR, Mathiesen EB, Mathur P, Matijasevich A, Matłosz P, Matsha TE, Matsudo V, Mavrogianni C, Mazur A, Mbanya JCN, McFarlane SR, McGarvey ST, McKee M, McLachlan S, McLean RM, McLean SB, McNairy ML, McNulty BA, Benchekor SM, Medzioniene J, Mehdipour P, Mehlig K, Mehrparvar AH, Meirhaeghe A, Meisfjord J, Meisinger C, Melgarejo JD, Melkumova M, Mello J, Méndez F, Mendivil CO, Menezes AMB, Menon GR, Mensink GBM, Menzano MT, Meshram II, Meto DT, Mi J, Michaelsen KF, Michels N, Mikkel K, Miłkowska K, Miller JC, Milushkina O, Minderico CS, Mini GK, Miquel JF, Miranda JJ, Mirjalili MR, Mirkopoulou D, Mirrakhimov E, Mišigoj-Duraković M, Mistretta A, Mocanu V, Modesti PA, Moghaddam SS, Mohajer B, Mohamed MK, Mohamed SF, Mohammad K, Mohammadi MR, Mohammadi Z, Mohammadifard N, Mohammadpourhodki R, Mohan V, Mohanna S, Yusoff MFM, Mohebbi I, Mohebi F, Moitry M, Møllehave LT, Møller NC, Molnár D, Momenan A, Mondo CK, Montenegro Mendoza RA, Monterrubio-Flores E, Monyeki KDK, Moon JS, Moosazadeh M, Mopa HT, Moradpour F, Moreira LB, Morejon A, Moreno LA, Morey F, Morgan K, Morin SN, Mortensen EL, Moschonis G, Moslem A, Mossakowska M, Mostafa A, Mostafavi SA, Mota-Pinto A, Mota J, Motlagh ME, Motta J, Moura-dos-Santos MA, Movsesyan Y, Msyamboza KP, Mu TT, Muc M, Muca F, Mugoša B, Muiesan ML, Müller-Nurasyid M, Münzel T, Mursu J, Murtagh EM, Musa KI, Milanović SM, Musil V, Musinguzi G, Muyer MTMC, Nabipour I, Naderimagham S, Nagel G, Najafi F, Nakamura H, Nalecz H, Námešná J, Nang EEK, Nangia VB, Nankap M, Narake S, Nardone P, Naseri T, Nauck M, Neal WA, Nejatizadeh A, Nekkantti C, Nelis K, Nenko I, Neovius M, Nervi F, Ng TP, Nguyen CT, Nguyen ND, Nguyen QN, Ni MY, Nicolescu R, Nie P, Nieto-Martínez RE, Nikitin YP, Ning G, Ninomiya T, Nishi N, Nishtar S, Noale M, Noboa OA, Nogueira H, Nordendahl M, Nordestgaard BG, Noto D, Nowak-Szczepanska N, Nsour MA, Nuhoğlu I, Nunes B, Nurk E, Nuwaha F, Nyirenda M, O’Neill TW, O’Reilly D, Obreja G, Ochimana C, Ochoa-Avilés AM, Oda E, Odili AN, Oh K, Ohara K, Ohlsson C, Ohtsuka R, Olafsson Ö, Olinto MTA, Oliveira IO, Omar MA, Omar SM, Onat A, Ong SK, Onland-Moret NC, Ono LM, Ordunez P, Ornelas R, Ortiz AP, Ortiz PJ, Osler M, Osmond C, Ostojic SM, Ostovar A, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Pagkalos I, Pahomova E, de Paiva KM, Pająk A, Palloni A, Palmieri L, Pan WH, Panda-Jonas S, Pandey A, Panza F, Paoli M, Papadopoulou SK, Papandreou D, Pareja RG, Park SW, Park S, Parnell WR, Parsaeian M, Pascanu IM, Pasquet P, Patel ND, Pattussi M, Pavlyshyn H, Pechlaner R, Pećin I, Pednekar MS, Pedro JM, Peer N, Peixoto SV, Peltonen M, Pereira AC, Peres MA, Pérez CM, Peterkova V, Peters A, Petersmann A, Petkeviciene J, Petrauskiene A, Kovtun OP, Pettenuzzo E, Peykari N, Pfeiffer N, Phall MC, Pham ST, Pichardo RN, Pierannunzio D, Pigeot I, Pikhart H, Pilav A, Pilotto L, Pistelli F, Pitakaka F, Piwonska A, Pizarro AN, Plans-Rubió P, Platonova AG, Poh BK, Pohlabeln H, Polka NS, Pop RM, Popovic SR, Porta M, Posch G, Poudyal A, Poulimeneas D, Pouraram H, Pourfarzi F, Pourshams A, Poustchi H, Pradeepa R, Price AJ, Price JF, Prista A, Providencia R, Puder JJ, Pudule I, Puiu M, Punab M, Qadir MS, Qasrawi RF, Qorbani M, Quintana HK, Quiroga-Padilla PJ, Bao TQ, Rach S, Radic I, Radisauskas R, Rahimikazerooni S, Rahman M, Rahman M, Raitakari O, Raj M, Rajabov T, Rakhmatulloev S, Rakovac I, Rao SR, Ramachandran A, Ramadan OPC, Ramires VV, Ramke J, Ramos E, Ramos R, Rampal L, Rampal S, Rangelova LS, Rarra V, Rascon-Pacheco RA, Rech CR, Redon J, Reganit PFM, Regecová V, Renner JDP, Repasy JA, Reuter CP, Revilla L, Rezaianzadeh A, Rho Y, Ribas-Barba L, Ribeiro R, Riboli E, Richter A, Rigo F, Rigotti A, Rinaldo N, Rinke de Wit TF, Rito AI, Ritti-Dias RM, Rivera JA, Roa RG, Robinson L, Robitaille C, Roccaldo R, Rodrigues D, Rodríguez-Artalejo F, del Cristo Rodriguez-Perez M, Rodríguez-Villamizar LA, Rodríguez AY, Roggenbuck U, Rohloff P, Rohner F, Rojas-Martinez R, Rojroongwasinkul N, Romaguera D, Romeo EL, Rosario RV, Rosengren A, Rouse I, Rouzier V, Roy JGR, Ruano MH, Rubinstein A, Rühli FJ, Ruidavets JB, Ruiz-Betancourt BS, Ruiz-Castell M, Moreno ER, Rusakova IA, Jonsson KR, Russo P, Rust P, Rutkowski M, Saamel M, Sabanayagam C, Sabbaghi H, Sacchini E, Sachdev HS, Sadjadi A, Safarpour AR, Safi S, Safiri S, Saghi MH, Saidi O, Saki N, Šalaj S, Salanave B, Martinez ES, Saleva C, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Samoutian M, Sánchez-Abanto J, Rodríguez IS, Sandjaja, Sans S, Marina LS, Santacruz E, Santos DA, Santos IS, Santos LC, Santos MP, Santos O, Santos R, Santos TR, Saramies JL, Sardinha LB, Sarrafzadegan N, Sathish T, Saum KU, Savva S, Savy M, Sawada N, Sbaraini M, Scazufca M, Schaan BD, Rosario AS, Schargrodsky H, Schienkiewitz A, Schindler K, Schipf S, Schmidt CO, Schmidt IM, Schneider A, Schnohr P, Schöttker B, Schramm S, Schramm S, Schröder H, Schultsz C, Schulze MB, Schutte AE, Sebert S, Sedaghattalab M, Selamat R, Sember V, Sen A, Senbanjo IO, Sepanlou SG, Sequera G, Serra-Majem L, Servais J, Ševčíková Ľ, Shalnova S, Shamah-Levy T, Shamshirgaran SM, Shanthirani CS, Sharafkhah M, Sharma SK, Shaw JE, Shayanrad A, Shayesteh AA, Shengelia L, Shi Z, Shibuya K, Shimizu-Furusawa H, Shimony T, Shiri R, Shrestha N, Si-Ramlee K, Siani A, Siantar R, Sibai AM, Sidossis LS, Silitrari N, Silva AM, de Moura Silva CR, Silva DAS, Silva KS, Sim X, Simon M, Simons J, Simons LA, Sjöberg A, Sjöström M, Skoblina NA, Skodje G, Slazhnyova T, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, So HK, Soares FC, Sobek G, Sobngwi E, Sodemann M, Söderberg S, Soekatri MYE, Soemantri A, Sofat R, Solfrizzi V, Somi MH, Sonestedt E, Song Y, Soofi S, Sørensen TIA, Sørgjerd EP, Jérome CS, Soto-Rojas VE, Soumaré A, Sousa-Poza A, Sovic S, Sparboe-Nilsen B, Sparrenberger K, Spencer PR, Spinelli A, Spiroski I, Staessen JA, Stamm H, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stevanović R, Stieber J, Stöckl D, Stokwiszewski J, Stoyanova E, Stratton G, Stronks K, Strufaldi MW, Sturua L, Suárez-Medina R, Suka M, Sun CA, Sun L, Sundström J, Sung YT, Sunyer J, Suriyawongpaisal P, Sweis NWG, Swinburn BA, Sy RG, Sylva RC, Szklo M, Szponar L, Tabone L, Tai ES, Tambalis KD, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanrygulyyeva M, Tanser F, Tao Y, Tarawneh MR, Tarp J, Tarqui-Mamani CB, Braunerová RT, Taylor A, Taylor J, Tchibindat F, Te Velde S, Tebar WR, Tell GS, Tello T, Tham YC, Thankappan KR, Theobald H, Theodoridis X, Thomas N, Thorand B, Thuesen BH, Tichá Ľ, Timmermans EJ, Tjandrarini DH, Tjonneland A, Tolonen HK, Tolstrup JS, Topbas M, Topór-Mądry R, Torheim LE, Tormo MJ, Tornaritis MJ, Torrent M, Torres-Collado L, Toselli S, Touloumi G, Traissac P, Tran TTH, Tremblay MS, Triantafyllou A, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tsao YH, Tshepo L, Tsigga M, Tsintavis P, Tsugane S, Tuitele J, Tuliakova AM, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Turley ML, Twig G, Tynelius P, Tzala E, Tzotzas T, Tzourio C, Ueda P, Ugel E, Ukoli FAM, Ulmer H, Unal B, Usupova Z, Uusitalo HMT, Uysal N, Vaitkeviciute J, Valdivia G, Vale S, Valvi D, van Dam RM, van den Born BJ, Van der Heyden J, van der Schouw YT, Van Herck K, Van Lippevelde W, Van Minh H, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Varbo A, Varela-Moreiras G, Vargas LN, Varona-Pérez P, Vasan SK, Vasques DG, Vega T, Veidebaum T, Velasquez-Melendez G, Velika B, Verloigne M, Veronesi G, Verschuren WMM, Victora CG, Viegi G, Viet L, Vik FN, Vilar M, Villalpando S, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vladulescu M, Vlasoff T, Vocanec D, Vollenweider P, Völzke H, Voutilainen A, Vrijheid M, Vrijkotte TGM, Wade AN, Waldhör T, Walton J, Wambiya EOA, Bebakar WMW, Mohamud WNW, de Souza Wanderley Júnior R, Wang MD, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Weber A, Webster-Kerr K, Wedderkopp N, Weghuber D, Wei W, Weres A, Werner B, Westbury LD, Whincup PH, Wickramasinghe K, Widhalm K, Widyahening IS, Więcek A, Wild PS, Wilks RJ, Willeit J, Willeit P, Williams J, Wilsgaard T, Wojciech R, Wojtyniak B, Wolf K, Wong-McClure RA, Wong A, Wong EB, Wong JE, Wong TY, Woo J, Woodward M, Wu FC, Wu HY, Wu J, Wu LJ, Wu S, Wyszyńska J, Xu H, Xu L, Yaacob NA, Yamborisut U, Yan W, Yang L, Yang X, Yang Y, Yardim N, Yasuharu T, García MY, Yiallouros PK, Yngve A, Yoosefi M, Yoshihara A, You QS, You SL, Younger-Coleman NO, Yu YL, Yu Y, Yusof SM, Yusoff AF, Zaccagni L, Zafiropulos V, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Zaw KK, Zayed AA, Zdrojewski T, Żegleń M, Zejglicova K, Vrkic TZ, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhecheva YV, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zins M, Zitt E, Zocalo Y, Zoghlami N, Cisneros JZ, Zuziak M, Bhutta ZA, Black RE, Ezzati M. Diminishing benefits of urban living for children and adolescents' growth and development. Nature 2023; 615:874-883. [PMID: 36991188 PMCID: PMC10060164 DOI: 10.1038/s41586-023-05772-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 01/30/2023] [Indexed: 03/31/2023]
Abstract
Optimal growth and development in childhood and adolescence is crucial for lifelong health and well-being1-6. Here we used data from 2,325 population-based studies, with measurements of height and weight from 71 million participants, to report the height and body-mass index (BMI) of children and adolescents aged 5-19 years on the basis of rural and urban place of residence in 200 countries and territories from 1990 to 2020. In 1990, children and adolescents residing in cities were taller than their rural counterparts in all but a few high-income countries. By 2020, the urban height advantage became smaller in most countries, and in many high-income western countries it reversed into a small urban-based disadvantage. The exception was for boys in most countries in sub-Saharan Africa and in some countries in Oceania, south Asia and the region of central Asia, Middle East and north Africa. In these countries, successive cohorts of boys from rural places either did not gain height or possibly became shorter, and hence fell further behind their urban peers. The difference between the age-standardized mean BMI of children in urban and rural areas was <1.1 kg m-2 in the vast majority of countries. Within this small range, BMI increased slightly more in cities than in rural areas, except in south Asia, sub-Saharan Africa and some countries in central and eastern Europe. Our results show that in much of the world, the growth and developmental advantages of living in cities have diminished in the twenty-first century, whereas in much of sub-Saharan Africa they have amplified.
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Kirwan LB, Walton J, Flynn A, Nugent AP, Kearney J, Holden NM, McNulty BA. Assessment of the Environmental Impact of Food Consumption in Ireland-Informing a Transition to Sustainable Diets. Nutrients 2023; 15:nu15040981. [PMID: 36839346 PMCID: PMC9958966 DOI: 10.3390/nu15040981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 02/13/2023] [Accepted: 02/14/2023] [Indexed: 02/18/2023] Open
Abstract
Dietary changes are required to mitigate the climatic impact of food consumption. Food consumption databases can support the development of sustainable food based dietary guidelines (SFBDG) when linked to environmental indicators. An improved knowledge base is crucial to the transition to sustainable diets, and multiple environmental indicators should be considered to ensure this transition is evidence based and accounts for trade-offs. The current study aimed to quantify the environmental impact of daily diets across population groups in Ireland. Nationally representative food consumption surveys for Irish children (NCFSII; 2017-2018), teenagers (NTFSII; 2019-2020), and adults (NANS; 2008-2010) were used in this analysis. Blue water use (L) and greenhouse gas emissions (GHGe; kgCO2eq) were assigned at food level to all surveys. Cropland (m2), nitrogen (kgN/t), and phosphorous use (kgP/t) were assigned at the agricultural level for adults. Multiple linear regressions, Spearman correlations, and ANCOVAs with Bonferroni corrections were conducted. Higher environmental impact diets were significantly associated with demographic factors such as age, education status, residential location, and sex, but these associations were not consistent across population groups. The median greenhouse gas emissions were 2.77, 2.93, and 4.31 kgCO2eq, and freshwater use per day was 88, 144, and 307 L for children, teenagers, and adults, respectively. The environmental impact of the Irish population exceeded the planetary boundary for GHGe by at least 148% for all population groups, however the boundary for blue water use was not exceeded. Meat and meat alternatives (27-44%); eggs, dairy, and dairy alternatives (15-21%); and starchy staples (10-20%) were the main contributors to GHGe. For blue water use, the highest contributors were meat and meat alternatives in children; savouries, snacks, nuts, and seeds in teenagers; and eggs, dairy, and dairy alternatives in adults (29-52%). In adults, cropland use, nitrogen use, and phosphorous use exceeded planetary boundaries by 277-382%. Meat, dairy, and grains were the main contributors to cropland, nitrogen, and phosphorous use (79-88%). The quantified environmental impact of Irish diets provides a baseline analysis, against which it will be possible to track progress towards sustainable diets, and the basis for the development of Sustainable Food Based Dietary Guidelines in Ireland.
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Affiliation(s)
- Laura B. Kirwan
- School of Agriculture & Food Science, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland
| | - Janette Walton
- Department of Biological Sciences, Munster Technological University, T12 P928 Cork, Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, T12 K8AF Cork, Ireland
| | - Anne P. Nugent
- School of Agriculture & Food Science, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland
- School of Biological Sciences, Institute for Global Food Security, Queens University Belfast, Belfast BT7 1NN, UK
| | - John Kearney
- School of Biological & Health Sciences, Technological University Dublin, D07 EWV4 Dublin, Ireland
| | - Nicholas M. Holden
- School of Biosystems and Food Engineering, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland
| | - Breige A. McNulty
- School of Agriculture & Food Science, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland
- Correspondence:
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Buffini M, Nugent AP, Walton J, Flynn A, McNulty BA. Erratum: Selenium intakes in the Irish adult population - CORRIGENDUM. J Nutr Sci 2023; 12:e46. [PMID: 37123389 PMCID: PMC10131044 DOI: 10.1017/jns.2023.35] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2023] Open
Abstract
[This corrects the article DOI: 10.1017/jns.2023.23.].
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Affiliation(s)
- Maria Buffini
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Republic of Ireland
| | - Anne P Nugent
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Republic of Ireland
- Institute for Global Food Security, Queens University Belfast, Belfast, Northern Ireland, UK
| | - Janette Walton
- School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland
- Department of Biological Sciences, Munster Technological University, Cork, Republic of Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland
| | - Breige A McNulty
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Republic of Ireland
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Jarrett H, McNulty H, Hughes CF, Pentieva K, Strain JJ, McCann A, McAnena L, Cunningham C, Molloy AM, Flynn A, Hopkins SM, Horigan G, O'Connor C, Walton J, McNulty BA, Gibney MJ, Lamers Y, Ward M. Vitamin B-6 and riboflavin, their metabolic interaction, and relationship with MTHFR genotype in adults aged 18-102 years. Am J Clin Nutr 2022; 116:1767-1778. [PMID: 36264281 PMCID: PMC9761749 DOI: 10.1093/ajcn/nqac240] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 07/15/2022] [Accepted: 08/27/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND The generation of the active form of vitamin B-6, pyridoxal 5'-phosphate (PLP), in tissues is dependent upon riboflavin as flavin mononucleotide, but whether this interaction is important for maintaining vitamin B-6 status is unclear. OBJECTIVE To investigate vitamin B-6 and riboflavin status, their metabolic interaction, and relationship with methylenetetrahydrofolate reductase (MTHFR) genotype in adulthood. METHODS Data from 5612 adults aged 18-102 y were drawn from the Irish National Adult Nutrition Survey (NANS; population-based sample) and the Trinity-Ulster Department of Agriculture (TUDA) and Genovit cohorts (volunteer samples). Plasma PLP and erythrocyte glutathione reductase activation coefficient (EGRac), as a functional indicator of riboflavin, were determined. RESULTS Older (≥65 y) compared with younger (<65 y) adults had significantly lower PLP concentrations (P < 0.001). A stepwise decrease in plasma PLP was observed across riboflavin categories, from optimal (EGRac ≤1.26), to suboptimal (EGRac: 1.27-1.39), to deficient (EGRac ≥1.40) status, an effect most pronounced in older adults (mean ± SEM: 76.4 ± 0.9 vs 65.0 ± 1.1 vs 55.4 ± 1.2 nmol/L; P < 0.001). In individuals with the variant MTHFR 677TT genotype combined with riboflavin deficiency, compared with non-TT (CC/CT) genotype participants with sufficient riboflavin, we observed PLP concentrations of 52.1 ± 2.9 compared with 76.8 ±0.7 nmol/L (P < 0.001). In participants with available dietary data (i.e., NANS cohort, n = 936), PLP was associated with vitamin B-6 intake (nonstandardized regression coefficient β: 2.49; 95% CI 1.75, 3.24; P < 0.001), supplement use (β: 81.72; 95% CI: 66.01, 97.43; P < 0.001), fortified food (β: 12.49; 95% CI: 2.08, 22.91; P = 0.019), and EGRac (β: -65.81; 95% CI: -99.08, -32.54; P < 0.001), along with BMI (β: -1.81; 95% CI: -3.31, -0.30; P = 0.019). CONCLUSIONS These results are consistent with the known metabolic dependency of PLP on flavin mononucleotide (FMN) and suggest that riboflavin may be the limiting nutrient for maintaining vitamin B-6 status, particularly in individuals with the MTHFR 677TT genotype. Randomized trials are necessary to investigate the PLP response to riboflavin intervention within the dietary range. The TUDA study and the NANS are registered at www.ClinicalTrials.gov as NCT02664584 (27 January 2016) and NCT03374748 (15 December 2017), respectively.Clinical Trial Registry details: Trinity-Ulster-Department of Agriculture (TUDA) study, ClinicalTrials.gov no. NCT02664584 (January 27th 2016); National Adult Nutrition Survey (NANS), ClinicalTrials.gov no. NCT03374748 (December 15th 2017).
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Affiliation(s)
- Harry Jarrett
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, United Kingdom
| | | | - Catherine F Hughes
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, United Kingdom
| | - Kristina Pentieva
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, United Kingdom
| | - J J Strain
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, United Kingdom
| | - Adrian McCann
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, United Kingdom
| | - Liadhan McAnena
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, United Kingdom
| | | | - Anne M Molloy
- School of Medicine and School of Biochemistry and Immunology, Trinity College, Dublin, Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Sinead M Hopkins
- Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Geraldine Horigan
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, United Kingdom
| | - Ciara O'Connor
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, United Kingdom
| | - Janette Walton
- Department of Biological Sciences, Munster Technological University, Cork, Ireland
| | - Breige A McNulty
- Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Michael J Gibney
- Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Yvonne Lamers
- Food Nutrition and Health Program, Faculty of Land and Food Systems, University of British Columbia, Vancouver, Canada
| | - Mary Ward
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, United Kingdom
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Kent G, Kehoe L, McNulty BA, Nugent AP, Flynn A, Walton J. A standardised methodological approach for characterising the plant-based component of population or individual diets. J Food Compost Anal 2022. [DOI: 10.1016/j.jfca.2022.104727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Hazley D, Stack M, Walton J, McNulty BA, Kearney JM. Food neophobia across the life course: Pooling data from five national cross-sectional surveys in Ireland. Appetite 2022; 171:105941. [DOI: 10.1016/j.appet.2022.105941] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 01/15/2022] [Accepted: 01/17/2022] [Indexed: 12/12/2022]
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Hazley D, McCarthy SN, Stack M, Walton J, McNulty BA, Flynn A, Kearney JM. Food neophobia and its relationship with dietary variety and quality in Irish adults: Findings from a national cross-sectional study. Appetite 2021; 169:105859. [PMID: 34910985 DOI: 10.1016/j.appet.2021.105859] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 12/08/2021] [Accepted: 12/08/2021] [Indexed: 12/12/2022]
Abstract
Food neophobia is characterised by a reluctance to eat novel or unfamiliar foods and has been linked to reduced dietary variety and quality. However, this link has been primarily studied in children. Therefore, we aimed to explore the relationship between food neophobia and dietary variety and quality in adults using a sub-sample of the National Adults Nutrition Survey collected between 2008 and 2010 (n = 1088). Food and nutrient intakes were assessed using a 4-day semi-weighed food diary. Food neophobia was measured using the Food Neophobia Scale (FNS). Dietary variety was assessed in three ways; Total Dietary Variety (TDV), Food-Group Variety (FGV) and Fruit and Vegetable Variety (FVV). Diet quality was assessed using the Mean Adequacy Ratio (MAR) and Nutrient-Rich Food Index (NRF9.3). A multivariate general linear model was used to assess the linear relationships between FNS score and all dietary measures, controlling for age, sex, education level, social class, location and BMI. Food neophobia was found to be inversely associated with TDV, FGV and FVV. In addition, food neophobia was negatively associated with vitamin C, magnesium and fruit and vegetable intakes and positively associated with percentage energy from free sugars. However, food neophobia was not significantly associated with all other nutrients, MAR and NRF9.3. While these results suggest food neophobia may not be a particularly important risk factor for poor nutrient status, adherence to certain dietary recommendations remains low within the Irish population and food neophobia may further inhibit the adaption of healthy and sustainable diets. Future research should seek to understand the implications of food neophobia on dietary behaviour change.
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Affiliation(s)
- Daniel Hazley
- School of Biological & Health Sciences, Technological University Dublin, Dublin, Ireland.
| | | | - Mairead Stack
- School of Biological & Health Sciences, Technological University Dublin, Dublin, Ireland.
| | - Janette Walton
- Department of Biological Science, Munster Technological University, Cork, Ireland.
| | - Breige A McNulty
- School of Agriculture and Food Science, UCD Institute of Food and Health, University College Dublin, Dublin, Ireland.
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland.
| | - John M Kearney
- School of Biological & Health Sciences, Technological University Dublin, Dublin, Ireland.
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10
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Lyons OC, Kerr MA, McNulty H, Ward F, Walton J, Livingstone MBE, McNulty BA, Kehoe L, Byrne PA, Saul I, Flynn MAT. Addressing nutrient shortfalls in 1- to 5-year-old Irish children using diet modeling: development of a protocol for use in country-specific population health. Am J Clin Nutr 2021; 115:105-117. [PMID: 34718385 PMCID: PMC8755081 DOI: 10.1093/ajcn/nqab311] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 09/10/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Dietary habits formed in early childhood can track into later life with important impacts on health. Food-based dietary guidelines (FBDGs) may have a role in improving population health but are lacking for young children. OBJECTIVES We aimed to establish a protocol for addressing nutrient shortfalls in 1- to 5-y-old children (12-60 mo) using diet modeling in a population-based sample. METHODS Secondary analysis of 2010-2011 Irish National Pre-School Nutrition Survey data (n = 500) was conducted to identify typical food consumption patterns in 1- to 5-y-olds. Nutrient intakes were assessed against dietary reference values [European Food Safety Authority (EFSA) and Institute of Medicine (IOM)]. To address nutrient shortfalls using diet modeling, 4-d food patterns were developed to assess different milk-feeding scenarios (human milk, whole or low-fat cow milk, and fortified milks) within energy requirement ranges aligned with the WHO growth standards. FBDGs to address nutrient shortfalls were established based on 120 food patterns. RESULTS Current mean dietary intakes for the majority of 1- to 5-y-olds failed to meet reference values (EFSA) for vitamin D (≤100%), vitamin E (≤88%), DHA (22:6n-3) + EPA (20:5n-3) (IOM; ≤82%), and fiber (≤63%), whereas free sugars intakes exceeded recommendations of <10% energy (E) for 48% of 1- to 3-y-olds and 75% of 4- to 5-y-olds. "Human milk + Cow milk" was the only milk-feeding scenario modeled that predicted sufficient DHA + EPA among 1- to 3-y-olds. Vitamin D shortfalls were not correctable in any milk-feeding scenario, even with supplementation (5 µg/d), apart from the "Follow-up Formula + Fortified drink" scenario in 1- to 3-y-olds (albeit free sugars intakes were estimated at 12%E compared with ≤5%E as provided by other scenarios). Iron and vitamin E shortfalls were most prevalent in scenarios for 1- to 3-y-olds at ≤25th growth percentile. CONCLUSIONS Using WHO growth standards and international reference values, this study provides a protocol for addressing nutrient shortfalls among 1- to 5-y-olds, which could be applied in country-specific population health.
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Affiliation(s)
- Oonagh C Lyons
- Food Safety Authority of Ireland, Dublin, Ireland,Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, United Kingdom
| | - Maeve A Kerr
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, United Kingdom
| | - Helene McNulty
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, United Kingdom
| | - Fiona Ward
- Clinical Nutrition and Dietetics, Children's Health Ireland at Crumlin, Dublin, Ireland
| | - Janette Walton
- Department of Biological Sciences, Munster Technological University, Cork, Ireland
| | - M Barbara E Livingstone
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, United Kingdom
| | - Breige A McNulty
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Laura Kehoe
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | | | - Ita Saul
- Clinical Nutrition and Dietetics, Children's Health Ireland at Crumlin, Dublin, Ireland
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Zhou B, Carrillo-Larco RM, Danaei G, Riley LM, Paciorek CJ, Stevens GA, Gregg EW, Bennett JE, Solomon B, Singleton RK, Sophiea MK, Iurilli MLC, Lhoste VPF, Cowan MJ, Savin S, Woodward M, Balanova Y, Cifkova R, Damasceno A, Elliott P, Farzadfar F, He J, Ikeda N, Kengne AP, Khang YH, Kim HC, Laxmaiah A, Lin HH, Margozzini Maira P, Miranda JJ, Neuhauser H, Sundström J, Varghese C, Widyahening IS, Zdrojewski T, Abarca-Gómez L, Abdeen ZA, Abdul Rahim HF, Abu-Rmeileh NM, Acosta-Cazares B, Adams RJ, Aekplakorn W, Afsana K, Afzal S, Agdeppa IA, Aghazadeh-Attari J, Aguilar-Salinas CA, Agyemang C, Ahmad NA, Ahmadi A, Ahmadi N, Ahmadi N, Ahmadizar F, Ahmed SH, Ahrens W, Ajlouni K, Al-Raddadi R, Alarouj M, AlBuhairan F, AlDhukair S, Ali MM, Alkandari A, Alkerwi A, Allin K, Aly E, Amarapurkar DN, Amougou N, Amouyel P, Andersen LB, Anderssen SA, Anjana RM, Ansari-Moghaddam A, Ansong D, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arku RE, Arlappa N, Aryal KK, Aspelund T, Assah FK, Assunção MCF, Auvinen J, Avdićová M, Azevedo A, Azimi-Nezhad M, Azizi F, Azmin M, Babu BV, Bahijri S, Balakrishna N, Bamoshmoosh M, Banach M, Banadinović M, Bandosz P, Banegas JR, Baran J, Barbagallo CM, Barceló A, Barkat A, Barreto M, Barros AJD, Barros MVG, Bartosiewicz A, Basit A, Bastos JLD, Bata I, Batieha AM, Batyrbek A, Baur LA, Beaglehole R, Belavendra A, Ben Romdhane H, Benet M, Benson LS, Berkinbayev S, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bezerra J, Bhagyalaxmi A, Bhargava SK, Bia D, Biasch K, Bika Lele EC, Bikbov MM, Bista B, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Bloch KV, Blokstra A, Bo S, Bobak M, Boeing H, Boggia JG, Boissonnet CP, Bojesen SE, Bongard V, Bonilla-Vargas A, Bopp M, Borghs H, Bovet P, Boyer CB, Braeckman L, Brajkovich I, Branca F, Breckenkamp J, Brenner H, Brewster LM, Briceño Y, Brito M, Bruno G, Bueno-de-Mesquita HB, Bueno G, Bugge A, Burns C, Bursztyn M, Cabrera de León A, Cacciottolo J, Cameron C, Can G, Cândido APC, Capanzana MV, Čapková N, Capuano E, Capuano V, Cardoso VC, Carlsson AC, Carvalho J, Casanueva FF, Censi L, Cervantes-Loaiza M, Chadjigeorgiou CA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Chee ML, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Cheraghian B, Cherkaoui Dekkaki I, Chetrit A, Chien KL, Chiolero A, Chiou ST, Chirita-Emandi A, Chirlaque MD, Cho B, Christensen K, Christofaro DG, Chudek J, Cinteza E, Claessens F, Clarke J, Clays E, Cohen E, Concin H, Cooper C, Coppinger TC, Costanzo S, Cottel D, Cowell C, Craig CL, Crampin AC, Crujeiras AB, Cruz JJ, Csilla S, Cui L, Cureau FV, Cuschieri S, D'Arrigo G, d'Orsi E, Dallongeville J, Dankner R, Dantoft TM, Dauchet L, Davletov K, De Backer G, De Bacquer D, De Curtis A, de Gaetano G, De Henauw S, de Oliveira PD, De Ridder D, De Smedt D, Deepa M, Deev AD, DeGennaro VJ, Delisle H, Demarest S, Dennison E, Deschamps V, Dhimal M, Di Castelnuovo AF, Dias-da-Costa JS, Diaz A, Dickerson TT, Dika Z, Djalalinia S, Do HTP, Dobson AJ, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Dörr M, Doua K, Dragano N, Drygas W, Duante CA, Duboz P, Duda RB, Dulskiene V, Dushpanova A, Džakula A, Dzerve V, Dziankowska-Zaborszczyk E, Eddie R, Eftekhar E, Eggertsen R, Eghtesad S, Eiben G, Ekelund U, El-Khateeb M, El Ati J, Eldemire-Shearer D, Eliasen M, Elosua R, Erasmus RT, Erbel R, Erem C, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Eslami S, Esmaeili A, Evans A, Faeh D, Fakhretdinova AA, Fall CH, Faramarzi E, Farjam M, Fattahi MR, Fawwad A, Felix-Redondo FJ, Felix SB, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrao T, Ferrari M, Ferrario MM, Ferreccio C, Ferreira HS, Ferrer E, Ferrieres J, Figueiró TH, Fink G, Fischer K, Foo LH, Forsner M, Fouad HM, Francis DK, Franco MDC, Frikke-Schmidt R, Frontera G, Fuchs FD, Fuchs SC, Fujita Y, Fumihiko M, Furdela V, Furer A, Furusawa T, Gaciong Z, Galbarczyk A, Galenkamp H, Galvano F, Gao J, Gao P, Garcia-de-la-Hera M, Garcia P, Gareta D, Garnett SP, Gaspoz JM, Gasull M, Gazzinelli A, Gehring U, Geleijnse JM, George R, Ghanbari A, Ghasemi E, Gheorghe-Fronea OF, Ghimire A, Gialluisi A, Giampaoli S, Gieger C, Gill TK, Giovannelli J, Gironella G, Giwercman A, Gkiouras K, Goldberg M, Goldsmith RA, Gomez LF, Gomula A, Gonçalves H, Gonçalves M, Gonçalves Cordeiro da Silva B, Gonzalez-Chica DA, Gonzalez-Gross M, González-Rivas JP, González-Villalpando C, González-Villalpando ME, Gonzalez AR, Gorbea MB, Gottrand F, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grosso G, Gruden G, Gu D, Guan OP, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter MJ, Gupta PC, Gupta R, Gureje O, Gurzkowska B, Gutierrez L, Gutzwiller F, Ha S, Hadaegh F, Haghshenas R, Hakimi H, Halkjær J, Hambleton IR, Hamzeh B, Hange D, Hanif AAM, Hantunen S, Hao J, Hardman CM, Hari Kumar R, Hashemi-Shahri SM, Hata J, Haugsgjerd T, Hayes AJ, He Y, Heier M, Hendriks ME, Henrique RDS, Henriques A, Hernandez Cadena L, Herqutanto, Herrala S, Heshmat R, Hill AG, Ho SY, Ho SC, Hobbs M, Holdsworth M, Homayounfar R, Horasan Dinc G, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Hu Y, Huerta JM, Huhtaniemi IT, Huiart L, Huisman M, Husseini AS, Huybrechts I, Hwalla N, Iacoviello L, Iannone AG, Ibrahim MM, Ibrahim Wong N, Ikram MA, Iotova V, Irazola VE, Ishida T, Isiguzo GC, Islam M, Islam SMS, Iwasaki M, Jackson RT, Jacobs JM, Jaddou HY, Jafar T, James K, Jamrozik K, Janszky I, Janus E, Jarvelin MR, Jasienska G, Jelaković A, Jelaković B, Jennings G, Jha AK, Jiang CQ, Jimenez RO, Jöckel KH, Joffres M, Johansson M, Jokelainen JJ, Jonas JB, Jørgensen T, Joshi P, Joukar F, Jóżwiak J, Juolevi A, Jurak G, Jureša V, Kaaks R, Kafatos A, Kajantie EO, Kalmatayeva Z, Kalpourtzi N, Kalter-Leibovici O, Kampmann FB, Kannan S, Karaglani E, Kårhus LL, Karki KB, Katibeh M, Katz J, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva GM, Keil U, Keinan Boker L, Keinänen-Kiukaanniemi S, Kelishadi R, Kemper HCG, Keramati M, Kerimkulova A, Kersting M, Key T, Khader YS, Khalili D, Khaw KT, Kheiri B, Kheradmand M, Khosravi A, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim DW, Kim J, Klakk H, Klimek M, Klumbiene J, Knoflach M, Kolle E, Kolsteren P, Kontto JP, Korpelainen R, Korrovits P, Kos J, Koskinen S, Kouda K, Kowlessur S, Koziel S, Kratenova J, Kriaucioniene V, Kristensen PL, Krokstad S, Kromhout D, Kruger HS, Kubinova R, Kuciene R, Kujala UM, Kulaga Z, Kumar RK, Kurjata P, Kusuma YS, Kutsenko V, Kuulasmaa K, Kyobutungi C, Laatikainen T, Lachat C, Laid Y, Lam TH, Landrove O, Lanska V, Lappas G, Larijani B, Latt TS, Le Coroller G, Le Nguyen Bao K, Le TD, Lee J, Lee J, Lehmann N, Lehtimäki T, Lemogoum D, Levitt NS, Li Y, Lilly CL, Lim WY, Lima-Costa MF, Lin X, Lin YT, Lind L, Lingam V, Linneberg A, Lissner L, Litwin M, Lo WC, Loit HM, Lopez-Garcia E, Lopez T, Lotufo PA, Lozano JE, Lukačević Lovrenčić I, Lukrafka JL, Luksiene D, Lundqvist A, Lundqvist R, Lunet N, Lustigová M, Luszczki E, Ma G, Ma J, Machado-Coelho GLL, Machado-Rodrigues AM, Macia E, Macieira LM, Madar AA, Maggi S, Magliano DJ, Magriplis E, Mahasampath G, Maire B, Majer M, Makdisse M, Malekzadeh F, Malekzadeh R, Malhotra R, Mallikharjuna Rao K, Malyutina SK, Maniego LV, Manios Y, Mann JI, Mansour-Ghanaei F, Manzato E, Marcil A, Mårild SB, Marinović Glavić M, Marques-Vidal P, Marques LP, Marrugat J, Martorell R, Mascarenhas LP, Matasin M, Mathiesen EB, Mathur P, Matijasevich A, Matlosz P, Matsha TE, Mavrogianni C, Mbanya JCN, Mc Donald Posso AJ, McFarlane SR, McGarvey ST, McLachlan S, McLean RM, McLean SB, McNulty BA, Mediene Benchekor S, Medzioniene J, Mehdipour P, Mehlig K, Mehrparvar AH, Meirhaeghe A, Meisinger C, Mendoza Montano C, Menezes AMB, Menon GR, Mereke A, Meshram II, Metspalu A, Meyer HE, Mi J, Michels N, Mikkel K, Milkowska K, Miller JC, Minderico CS, Mini GK, Mirjalili MR, Mirrakhimov E, Mišigoj-Duraković M, Modesti PA, Moghaddam SS, Mohajer B, Mohamed MK, Mohamed SF, Mohammad K, Mohammadi MR, Mohammadi Z, Mohammadifard N, Mohammadpourhodki R, Mohan V, Mohanna S, Mohd Yusoff MF, Mohebbi I, Mohebi F, Moitry M, Møllehave LT, Molnár D, Momenan A, Mondo CK, Monterrubio-Flores E, Monyeki KDK, Moon JS, Moosazadeh M, Moreira LB, Morejon A, Moreno LA, Morgan K, Moschonis G, Mossakowska M, Mostafa A, Mostafavi SA, Mota J, Motlagh ME, Motta J, Moura-dos-Santos MA, Mridha MK, Msyamboza KP, Mu TT, Muhihi AJ, Muiesan ML, Müller-Nurasyid M, Murphy N, Mursu J, Musa KI, Musić Milanović S, Musil V, Mustafa N, Nabipour I, Naderimagham S, Nagel G, Naidu BM, Najafi F, Nakamura H, Námešná J, Nang EEK, Nangia VB, Narake S, Ndiaye NC, Neal WA, Nejatizadeh A, Nenko I, Neovius M, Nguyen CT, Nguyen ND, Nguyen QV, Nguyen QN, Nieto-Martínez RE, Niiranen TJ, Nikitin YP, Ninomiya T, Nishtar S, Njelekela MA, Noale M, Noboa OA, Noorbala AA, Norat T, Nordendahl M, Nordestgaard BG, Noto D, Nowak-Szczepanska N, Nsour MA, Nunes B, O'Neill TW, O'Reilly D, Ochimana C, Oda E, Odili AN, Oh K, Ohara K, Ohtsuka R, Olié V, Olinto MTA, Oliveira IO, Omar MA, Onat A, Ong SK, Ono LM, Ordunez P, Ornelas R, Ortiz PJ, Osmond C, Ostojic SM, Ostovar A, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Padez C, Pahomova E, Paiva KMD, Pająk A, Palli D, Palmieri L, Pan WH, Panda-Jonas S, Panza F, Paoli M, Papandreou D, Park SW, Park S, Parnell WR, Parsaeian M, Pasquet P, Patel ND, Pavlyshyn H, Pećin I, Pednekar MS, Pedro JM, Peer N, Peixoto SV, Peltonen M, Pereira AC, Peres KGDA, Peres MA, Peters A, Petkeviciene J, Peykari N, Pham ST, Pichardo RN, Pigeot I, Pikhart H, Pilav A, Pilotto L, Pitakaka F, Piwonska A, Pizarro AN, Plans-Rubió P, Polašek O, Porta M, Poudyal A, Pourfarzi F, Pourshams A, Poustchi H, Pradeepa R, Price AJ, Price JF, Providencia R, Puhakka SE, Puiu M, Punab M, Qasrawi RF, Qorbani M, Queiroz D, Quoc Bao T, Radić I, Radisauskas R, Rahimikazerooni S, Rahman M, Raitakari O, Raj M, Rakhimova EM, Ramachandra Rao S, Ramachandran A, Ramos E, Rampal L, Rampal S, Rangel Reina DA, Rarra V, Rech CR, Redon J, Reganit PFM, Regecová V, Revilla L, Rezaianzadeh A, Ribeiro R, Riboli E, Richter A, Rigo F, Rinke de Wit TF, Ritti-Dias RM, Robitaille C, Rodríguez-Artalejo F, Rodriguez-Perez MDC, Rodríguez-Villamizar LA, Roggenbuck U, Rojas-Martinez R, Romaguera D, Romeo EL, Rosengren A, Roy JGR, Rubinstein A, Ruidavets JB, Ruiz-Betancourt BS, Ruiz-Castell M, Rusakova IA, Russo P, Rutkowski M, Sabanayagam C, Sabbaghi H, Sachdev HS, Sadjadi A, Safarpour AR, Safi S, Safiri S, Saidi O, Sakarya S, Saki N, Salanave B, Salazar Martinez E, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sans S, Santos DA, Santos IS, Santos LC, Santos MP, Santos R, Saramies JL, Sardinha LB, Sarganas G, Sarrafzadegan N, Sathish T, Saum KU, Savva S, Sawada N, Sbaraini M, Scazufca M, Schaan BD, Schargrodsky H, Schipf S, Schmidt CO, Schnohr P, Schöttker B, Schramm S, Schultsz C, Schutte AE, Sebert S, Sein AA, Sen A, Senbanjo IO, Sepanlou SG, Servais J, Shalnova SA, Shamah-Levy T, Shamshirgaran M, Shanthirani CS, Sharafkhah M, Sharma SK, Shaw JE, Shayanrad A, Shayesteh AA, Shi Z, Shibuya K, Shimizu-Furusawa H, Shin DW, Shirani M, Shiri R, Shrestha N, Si-Ramlee K, Siani A, Siantar R, Sibai AM, Silva CRDM, Silva DAS, Simon M, Simons J, Simons LA, Sjöström M, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, So HK, Soares FC, Sobngwi E, Söderberg S, Soemantri A, Sofat R, Solfrizzi V, Somi MH, Sonestedt E, Song Y, Sørensen TIA, Sørgjerd EP, Sorić M, Sossa Jérome C, Soumaré A, Sparboe-Nilsen B, Sparrenberger K, Staessen JA, Starc G, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stieber J, Stöckl D, Stocks T, Stokwiszewski J, Stronks K, Strufaldi MW, Suka M, Sun CA, Sung YT, Suriyawongpaisal P, Sy RG, Syddall HE, Sylva RC, Szklo M, Tai ES, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanser F, Tao Y, Tarawneh MR, Tarqui-Mamani CB, Taylor A, Taylor J, Tebar WR, Tell GS, Tello T, Tham YC, Thankappan KR, Theobald H, Theodoridis X, Thijs L, Thinggaard M, Thomas N, Thorand B, Thuesen BH, Timmermans EJ, Tjandrarini DH, Tjonneland A, Toft U, Tolonen HK, Tolstrup JS, Topbas M, Topór-Madry R, Tormo MJ, Tornaritis MJ, Torrent M, Torres-Collado L, Touloumi G, Traissac P, Triantafyllou A, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tshepo L, Tsugane S, Tuliakova AM, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Turley ML, Twig G, Tynelius P, Tzourio C, Ueda P, Ugel E, Ulmer H, Uusitalo HMT, Valdivia G, Valvi D, van Dam RM, van den Born BJ, Van der Heyden J, van der Schouw YT, Van Herck K, Van Minh H, Van Schoor NM, van Valkengoed IGM, van Zutphen EM, Vanderschueren D, Vanuzzo D, Varbo A, Vasan SK, Vega T, Veidebaum T, Velasquez-Melendez G, Veronesi G, Verschuren WMM, Verstraeten R, Victora CG, Viet L, Villalpando S, Vineis P, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Voutilainen A, Wade AN, Walton J, Wambiya EOA, Wan Bebakar WM, Wan Mohamud WN, Wanderley Júnior RDS, Wang MD, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Wei W, Weres A, Werner B, Whincup PH, Widhalm K, Wiecek A, Wilks RJ, Willeit J, Willeit P, Williams EA, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong A, Wong TY, Woo J, Wu FC, Wu S, Wyszynska J, Xu H, Xu L, Yaacob NA, Yan W, Yang L, Yang X, Yang Y, Yasuharu T, Ye X, Yiallouros PK, Yoosefi M, Yoshihara A, You SL, Younger-Coleman NO, Yusoff AF, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zapata ME, Zaw KK, Zejglicova K, Zeljkovic Vrkic T, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhen S, Zheng Y, Zholdin B, Zhu D, Zins M, Zitt E, Zocalo Y, Zoghlami N, Zuñiga Cisneros J, Ezzati M. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants. Lancet 2021; 398:957-980. [PMID: 34450083 PMCID: PMC8446938 DOI: 10.1016/s0140-6736(21)01330-1] [Citation(s) in RCA: 938] [Impact Index Per Article: 312.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 06/01/2021] [Accepted: 06/03/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. METHODS We used data from 1990 to 2019 on people aged 30-79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control). The model allowed for trends over time to be non-linear and to vary by age. FINDINGS The number of people aged 30-79 years with hypertension doubled from 1990 to 2019, from 331 (95% credible interval 306-359) million women and 317 (292-344) million men in 1990 to 626 (584-668) million women and 652 (604-698) million men in 2019, despite stable global age-standardised prevalence. In 2019, age-standardised hypertension prevalence was lowest in Canada and Peru for both men and women; in Taiwan, South Korea, Japan, and some countries in western Europe including Switzerland, Spain, and the UK for women; and in several low-income and middle-income countries such as Eritrea, Bangladesh, Ethiopia, and Solomon Islands for men. Hypertension prevalence surpassed 50% for women in two countries and men in nine countries, in central and eastern Europe, central Asia, Oceania, and Latin America. Globally, 59% (55-62) of women and 49% (46-52) of men with hypertension reported a previous diagnosis of hypertension in 2019, and 47% (43-51) of women and 38% (35-41) of men were treated. Control rates among people with hypertension in 2019 were 23% (20-27) for women and 18% (16-21) for men. In 2019, treatment and control rates were highest in South Korea, Canada, and Iceland (treatment >70%; control >50%), followed by the USA, Costa Rica, Germany, Portugal, and Taiwan. Treatment rates were less than 25% for women and less than 20% for men in Nepal, Indonesia, and some countries in sub-Saharan Africa and Oceania. Control rates were below 10% for women and men in these countries and for men in some countries in north Africa, central and south Asia, and eastern Europe. Treatment and control rates have improved in most countries since 1990, but we found little change in most countries in sub-Saharan Africa and Oceania. Improvements were largest in high-income countries, central Europe, and some upper-middle-income and recently high-income countries including Costa Rica, Taiwan, Kazakhstan, South Africa, Brazil, Chile, Turkey, and Iran. INTERPRETATION Improvements in the detection, treatment, and control of hypertension have varied substantially across countries, with some middle-income countries now outperforming most high-income nations. The dual approach of reducing hypertension prevalence through primary prevention and enhancing its treatment and control is achievable not only in high-income countries but also in low-income and middle-income settings. FUNDING WHO.
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Prendiville O, Walton J, Flynn A, Nugent AP, McNulty BA, Brennan L. Classifying Individuals Into a Dietary Pattern Based on Metabolomic Data. Mol Nutr Food Res 2021; 65:e2001183. [PMID: 33864732 DOI: 10.1002/mnfr.202001183] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Revised: 03/01/2021] [Indexed: 11/07/2022]
Abstract
SCOPE The objectives are to develop a metabolomic-based model capable of classifying individuals into dietary patterns and to investigate the reproducibility of the model. METHODS AND RESULTS K-means cluster analysis is employed to derive dietary patterns using metabolomic data. Differences across the dietary patterns are examined using nutrient biomarkers. The model is used to assign individuals to a dietary pattern in an independent cohort, A-DIET Confirm (n = 175) at four time points. The stability of participants to a dietary pattern is assessed. Four dietary patterns are derived: moderately unhealthy, convenience, moderately healthy, and prudent. The moderately unhealthy and convenience patterns has lower adherence to the alternative healthy eating index (AHEI) and the alternative mediterranean diet score (AMDS) compared to the moderately healthy and prudent patterns (AHEI = 24.5 and 22.9 vs 26.7 and 28.4, p < 0.001). The dietary patterns are replicated in A-DIET Confirm, with good reproducibility across four time points. The stability of participants' dietary pattern membership ranged from 25.0% to 61.5%. CONCLUSION The multivariate model classifies individuals into dietary patterns based on metabolomic data. In an independent cohort, the model classifies individuals into dietary patterns at multiple time points furthering the potential of such an approach for nutrition research.
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Affiliation(s)
- Orla Prendiville
- UCD School of Agriculture and Food Science, UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland
- UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Ireland
| | - Janette Walton
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
- Department of Biological Sciences, Cork Institute of Technology, Cork, Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Anne P Nugent
- Institute for Global Food Security, School of Biological Sciences, Queens University Belfast, Northern Ireland
| | - Breige A McNulty
- UCD School of Agriculture and Food Science, UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland
| | - Lorraine Brennan
- UCD School of Agriculture and Food Science, UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland
- UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Ireland
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SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Ko Zaw K, Zdrojewski T, Zejglicova K, Vrkic TZ, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zins M, Zitt E, Zocalo Y, Cisneros JZ, Zuziak M, Ezzati M, Filippi S. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight. eLife 2021; 10:e60060. [PMID: 33685583 PMCID: PMC7943191 DOI: 10.7554/elife.60060] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 01/07/2021] [Indexed: 02/05/2023] Open
Abstract
From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Nayu Ikeda
- National Institutes of Biomedical Innovation, Health and Nutrition
| | | | | | | | - Jing Liu
- Capital Medical University Beijing An Zhen Hospital
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- University of Copenhagen
- Copenhagen University Hospital
| | | | | | | | | | | | | | - Ali Ahmadi
- Shahrekord University of Medical Sciences
| | | | | | | | | | - Kamel Ajlouni
- National Center for Diabetes, Endocrinology and Genetics
| | | | | | | | | | | | | | | | | | | | | | | | - Eman Aly
- World Health Organization Regional Office for the Eastern Mediterranean
| | | | - Parisa Amiri
- Research Center for Social Determinants of Health
| | | | | | | | | | | | | | | | | | - Joana Araújo
- Institute of Public Health of the University of Porto
| | | | | | | | | | | | | | | | | | | | | | | | - Shina Avi
- Tel-Aviv University
- Hebrew University of Jerusalem
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- Baqai Institute of Diabetology and Endocrinology
| | | | | | | | | | | | | | | | | | | | | | | | - Judith Benedics
- Federal Ministry of Social Affairs, Health, Care and Consumer Protection
| | | | | | | | | | | | | | | | | | | | | | | | - Hongsheng Bi
- Shandong University of Traditional Chinese Medicine
| | - Yufang Bi
- Shanghai Jiao-Tong University School of Medicine
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - João Breda
- World Health Organization Regional Office for Europe
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- Council for Agricultural Research and Economics
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- The Gertner Institute for Epidemiology and Health Policy Research
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- Canadian Fitness and Lifestyle Research Institute
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Rachel Dankner
- The Gertner Institute for Epidemiology and Health Policy Research
| | | | | | | | - Luc Dauchet
- University of Lille
- Lille University Hospital
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- Beijing Center for Disease Prevention and Control
| | | | | | | | | | | | | | - Anar Dushpanova
- Scuola Superiore Sant'Anna
- Al-Farabi Kazakh National University
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- Swiss Tropical and Public Health Institute
- University of Basel
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- World Health Organization Regional Office for the Eastern Mediterranean
| | | | | | | | | | | | | | | | | | | | | | | | - Mihai Gafencu
- Victor Babes University of Medicine and Pharmacy Timisoara
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Marcel Goldberg
- Institut National de la Santé et de la Recherche Médicale
- Paris University
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Yin Guo
- Capital Medical University Beijing Tongren Hospital
| | | | - Rajeev Gupta
- Eternal Heart Care Centre and Research Institute
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- Beijing Institute of Ophthalmology
| | | | | | | | | | | | | | - Yuan He
- National Research Institute for Health and Family Planning
| | - Yuna He
- Chinese Center for Disease Control and Prevention
| | | | | | | | | | | | - Ana Henriques
- Institute of Public Health of the University of Porto
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- Institute of Molecular and Clinical Ophthalmology Basel
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- French National Research Institute for Sustainable Development
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- Johns Hopkins Bloomberg School of Public Health
| | | | | | | | | | | | | | | | | | - Roya Kelishadi
- Research Institute for Primordial Prevention of Non-communicable Disease
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- PASs Hirszfeld Institute of Immunology and Experimental Therapy
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- French National Research Institute for Sustainable Development
| | - Vera Lanska
- Institute for Clinical and Experimental Medicine
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- University of Chinese Academy of Sciences
| | | | | | | | | | | | - Lijuan Liu
- Capital Medical University Beijing Tongren Hospital
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- National Research Institute for Health and Family Planning
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- Institute of Neuroscience of the National Research Council
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- French National Research Institute for Sustainable Development
| | | | | | - Päivi Mäki
- Finnish Institute for Health and Welfare
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- CIBERCV
- Institut Hospital del Mar d'Investigacions Mèdiques
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- Capital Institute of Pediatrics
| | | | | | | | | | | | | | - GK Mini
- Women’s Social and Health Studies Foundation
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- University of Strasbourg
- Strasbourg University Hospital
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- Instituto Conmemorativo Gorgas de Estudios de la Salud
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- Banska Bystrica Regional Authority of Public Health
| | | | | | | | | | | | | | | | | | | | - Keiu Nelis
- National Institute for Health Development
| | - Liis Nelis
- National Institute for Health Development
| | | | | | | | | | | | | | | | - Yury P Nikitin
- SB RAS Federal Research Center Institute of Cytology and Genetics
| | - Guang Ning
- Shanghai Jiao-Tong University School of Medicine
| | | | | | - Marianna Noale
- Institute of Neuroscience of the National Research Council
| | | | | | | | | | | | | | | | | | | | - Eha Nurk
- National Institute for Health Development
| | | | | | | | | | | | | | - Kyungwon Oh
- Korea Centers for Disease Control and Prevention
| | | | - Claes Ohlsson
- University of Gothenburg
- Sahlgrenska University Hospital
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Domenico Palli
- Institute for Cancer Research, Prevention and Clinical Network
| | | | | | | | | | | | - Francesco Panza
- IRCCS Ente Ospedaliero Specializzato in Gastroenterologia S. de Bellis
| | | | | | - Suyeon Park
- Korea Centers for Disease Control and Prevention
| | | | | | - Ionela M Pascanu
- University of Medicine, Pharmacy, Science and Technology of Târgu Mures
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Iris Pigeot
- Leibniz Institute for Prevention Research and Epidemiology - BIPS
| | | | | | | | | | | | | | | | | | | | | | - Raluca M Pop
- University of Medicine, Pharmacy, Science and Technology of Târgu Mures
| | | | - Miquel Porta
- Institut Hospital del Mar d'Investigacions Mèdiques
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Maria Puiu
- Victor Babes University of Medicine and Pharmacy Timisoara
| | | | | | | | | | | | | | | | | | | | | | - Manu Raj
- Amrita Institute of Medical Sciences
| | | | | | - Ivo Rakovac
- World Health Organization Regional Office for Europe
| | | | | | | | | | - Rafel Ramos
- Institut Universitari d'Investigació en Atenció Primària Jordi Gol
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Ana Rito
- National Institute of Health Doutor Ricardo Jorge
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Paola Russo
- Institute of Food Sciences of the National Research Council
| | | | | | | | | | | | | | | | | | - Nader Saki
- Ahvaz Jundishapur University of Medical Sciences
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Savvas Savva
- Research and Education Institute of Child Health
| | - Mathilde Savy
- French National Research Institute for Sustainable Development
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Aletta E Schutte
- University of New South Wales
- The George Institute for Global Health
| | | | | | | | - Abhijit Sen
- Center for Oral Health Services and Research Mid-Norway
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Alfonso Siani
- Institute of Food Sciences of the National Research Council
| | | | | | | | | | | | | | | | | | | | | | | | | | - Liam Smeeth
- London School of Hygiene & Tropical Medicine
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Igor Spiroski
- Institute of Public Health
- Ss. Cyril and Methodius University
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Lela Sturua
- National Center for Disease Control and Public Health
| | | | | | | | | | | | | | | | | | | | | | | | | | - Lucjan Szponar
- National Institute of Public Health – National Institute of Hygiene
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- French National Research Institute for Sustainable Development
| | | | | | | | - Oanh TH Trinh
- University of Medicine and Pharmacy at Ho Chi Minh City
| | | | | | | | | | | | | | | | | | | | | | - Gilad Twig
- Tel-Aviv University
- Hebrew University of Jerusalem
| | | | | | | | | | - Eunice Ugel
- Universidad Centro-Occidental Lisandro Alvarado
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- Copenhagen University Hospital
- University of Copenhagen
| | | | | | | | - Tomas Vega
- Consejería de Sanidad Junta de Castilla y León
| | | | | | | | | | | | | | | | - Lucie Viet
- National Institute for Public Health and the Environment
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Ningli Wang
- Capital Medical University Beijing Tongren Hospital
| | | | | | | | | | | | | | - Adelheid Weber
- Federal Ministry of Social Affairs, Health, Care and Consumer Protection
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- National Institute of Public Health - National Institute of Hygiene
| | | | | | | | | | - Jean Woo
- The Chinese University of Hong Kong
| | | | | | - Jianfeng Wu
- Shandong University of Traditional Chinese Medicine
| | | | | | - Haiquan Xu
- Institute of Food and Nutrition Development of Ministry of Agriculture and Rural Affairs
| | - Liang Xu
- Beijing Institute of Ophthalmology
| | | | | | - Weili Yan
- Children's Hospital of Fudan University
| | | | | | - Yang Yang
- Shanghai Educational Development Co. Ltd
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- Peking University
- Duke University
| | | | | | - Dong Zhao
- Capital Medical University Beijing An Zhen Hospital
| | | | - Wenhua Zhao
- Chinese Center for Disease Control and Prevention
| | - Shiqi Zhen
- Jiangsu Provincial Center for Disease Control and Prevention
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- Chinese Center for Disease Control and Prevention
| | - Dan Zhu
- Inner Mongolia Medical University
| | - Marie Zins
- Institut National de la Santé et de la Recherche Médicale
- Paris University
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Kehoe L, Walton J, McNulty BA, Nugent AP, Flynn A. Energy, Macronutrients, Dietary Fibre and Salt Intakes in Older Adults in Ireland: Key Sources and Compliance with Recommendations. Nutrients 2021; 13:nu13030876. [PMID: 33800312 PMCID: PMC8001736 DOI: 10.3390/nu13030876] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 02/03/2021] [Accepted: 02/22/2021] [Indexed: 12/15/2022] Open
Abstract
The global population is rapidly ageing. Adequate nutritional status can play a key role in preventing or delaying the progression of age-related diseases. The aim of this study was to estimate the usual intake of energy, macronutrients, dietary fibre and salt in order to determine compliance with recommendations and to identify the sources of these nutrients in older adults (≥65 years) in Ireland. This study is based on data from the cohort of older adults aged ≥65 years (n = 226) in the Irish National Adult Nutrition Survey (NANS) (2008-2010) which estimated food and nutrient intakes in a representative sample of adults 18-90 years using a 4 day weighed food record. This study found that while intakes of macronutrients are generally sufficient in this population group, older adults in Ireland have high intakes of total fat, saturated fat, sugar and salt and low intakes of dietary fibre. Future strategies to address the nutritional issues identified in older adults could include the promotion of healthy food choices together with improvements of the food supply including reformulation (fat, sugar and salt) to support successful ageing of our population.
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Affiliation(s)
- Laura Kehoe
- School of Food & Nutritional Sciences, University College Cork, T12 K8AF Cork, Ireland; (J.W.); (A.F.)
- Correspondence: ; Tel.: +353-(0)21-490-3387
| | - Janette Walton
- School of Food & Nutritional Sciences, University College Cork, T12 K8AF Cork, Ireland; (J.W.); (A.F.)
- Department of Biological Sciences, Munster Technological University, T12 P928 Cork, Ireland
| | - Breige A. McNulty
- UCD Institute of Food & Health, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland; (B.A.M.); (A.P.N.)
| | - Anne P. Nugent
- UCD Institute of Food & Health, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland; (B.A.M.); (A.P.N.)
- Institute for Global Food Security, Queens University Belfast, Belfast BT7 1NN, UK
| | - Albert Flynn
- School of Food & Nutritional Sciences, University College Cork, T12 K8AF Cork, Ireland; (J.W.); (A.F.)
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McNamara AE, Walton J, Flynn A, Nugent AP, McNulty BA, Brennan L. The Potential of Multi-Biomarker Panels in Nutrition Research: Total Fruit Intake as an Example. Front Nutr 2021; 7:577720. [PMID: 33521031 PMCID: PMC7840580 DOI: 10.3389/fnut.2020.577720] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 12/17/2020] [Indexed: 12/26/2022] Open
Abstract
Dietary and food intake biomarkers offer the potential of improving the accuracy of dietary assessment. An extensive range of putative intake biomarkers of commonly consumed foods have been identified to date. As the field of food intake biomarkers progresses toward solving the complexities of dietary habits, combining biomarkers associated with single foods or food groups may be required. The objective of this work was to examine the ability of a multi-biomarker panel to classify individuals into categories of fruit intake. Biomarker data was measured using 1H NMR spectroscopy in two studies: (1) An intervention study where varying amounts of fruit was consumed and (2) the National Adult Nutrition Survey (NANS). Using data from an intervention study a biomarker panel (Proline betaine, Hippurate, and Xylose) was constructed from three urinary biomarker concentrations. Biomarker cut-off values for three categories of fruit intake were developed. The biomarker sum cut-offs were ≤ 4.766, 4.766–5.976, >5.976 μM/mOsm/kg for <100, 101–160, and >160 g fruit intake. The ability of the biomarker sum to classify individuals into categories of fruit intake was examined in the cross-sectional study (NANS) (N = 565). Examination of results in the cross-sectional study revealed excellent agreement with self-reported intake: a similar number of participants were ranked into each category of fruit intake. The work illustrates the potential of multi-biomarker panels and paves the way forward for further development in the field. The use of such panels may be key to distinguishing foods and adding specificity to the predictions of food intake.
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Affiliation(s)
- Aoife E McNamara
- School of Agriculture and Food Science, UCD Institute of Food and Health, University College Dublin, Dublin, Ireland.,UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland
| | - Janette Walton
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland.,Department of Biological Sciences, Cork Institute of Technology, Cork, Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Anne P Nugent
- School of Biological Sciences, Institute for Global Food Security, Queens University Belfast, Belfast, United Kingdom
| | - Breige A McNulty
- School of Agriculture and Food Science, UCD Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Lorraine Brennan
- School of Agriculture and Food Science, UCD Institute of Food and Health, University College Dublin, Dublin, Ireland.,UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland
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Ward M, Hughes CF, Strain JJ, Reilly R, Cunningham C, Molloy AM, Horigan G, Casey M, McCarroll K, O'Kane M, Gibney MJ, Flynn A, Walton J, McNulty BA, McCann A, Kirwan L, Scott JM, McNulty H. Impact of the common MTHFR 677C→T polymorphism on blood pressure in adulthood and role of riboflavin in modifying the genetic risk of hypertension: evidence from the JINGO project. BMC Med 2020; 18:318. [PMID: 33172445 PMCID: PMC7656675 DOI: 10.1186/s12916-020-01780-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 09/10/2020] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Genome-wide and clinical studies have linked the 677C→T polymorphism in the gene encoding methylenetetrahydrofolate reductase (MTHFR) with hypertension, whilst limited evidence shows that intervention with riboflavin (i.e. the MTHFR co-factor) can lower blood pressure (BP) in hypertensive patients with the variant MTHFR 677TT genotype. We investigated the impact of this common polymorphism on BP throughout adulthood and hypothesised that riboflavin status would modulate the genetic risk of hypertension. METHODS Observational data on 6076 adults of 18-102 years were drawn from the Joint Irish Nutrigenomics Organisation project, comprising the Trinity-Ulster Department of Agriculture (TUDA; volunteer sample) and the National Adult Nutrition Survey (NANS; population-based sample) cohorts. Participants were recruited from the Republic of Ireland and Northern Ireland (UK) in 2008-2012 using standardised methods. RESULTS The variant MTHFR 677TT genotype was identified in 12% of adults. From 18 to 70 years, this genotype was associated with an increased risk of hypertension (i.e. systolic BP ≥ 140 and/or a diastolic BP ≥ 90 mmHg): odds ratio (OR) 1.42, 95% confidence interval (CI) 1.07 to 1.90; P = 0.016, after adjustment for antihypertensive drug use and other significant factors, namely, age, male sex, BMI, alcohol and total cholesterol. Low or deficient biomarker status of riboflavin (observed in 30.2% and 30.0% of participants, respectively) exacerbated the genetic risk of hypertension, with a 3-fold increased risk for the TT genotype in combination with deficient riboflavin status (OR 3.00, 95% CI, 1.34-6.68; P = 0.007) relative to the CC genotype combined with normal riboflavin status. Up to 65 years, we observed poorer BP control rates on antihypertensive treatment in participants with the TT genotype (30%) compared to those without this variant, CT (37%) and CC (45%) genotypes (P < 0.027). CONCLUSIONS The MTHFR 677TT genotype is associated with higher BP independently of homocysteine and predisposes adults to an increased risk of hypertension and poorer BP control with antihypertensive treatment, whilst better riboflavin status is associated with a reduced genetic risk. Riboflavin intervention may thus offer a personalised approach to prevent the onset of hypertension in adults with the TT genotype; however, this requires confirmation in a randomised trial in non-hypertensive adults.
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Affiliation(s)
- Mary Ward
- The Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Catherine F Hughes
- The Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - J J Strain
- The Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Rosie Reilly
- The Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Conal Cunningham
- The Department of Gerontology, St James's Hospital, Dublin, Ireland
| | - Anne M Molloy
- School of Medicine and School of Biochemistry and Immunology, Trinity College Dublin, Dublin, Ireland
| | - Geraldine Horigan
- The Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Miriam Casey
- The Department of Gerontology, St James's Hospital, Dublin, Ireland
| | - Kevin McCarroll
- The Department of Gerontology, St James's Hospital, Dublin, Ireland
| | - Maurice O'Kane
- Clinical Chemistry Laboratory, Western Health and Social Care Trust, Altnagelvin Hospital, Londonderry, Northern Ireland, UK
| | - Michael J Gibney
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Janette Walton
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Breige A McNulty
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Adrian McCann
- The Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Laura Kirwan
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - John M Scott
- School of Medicine and School of Biochemistry and Immunology, Trinity College Dublin, Dublin, Ireland
| | - Helene McNulty
- The Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK.
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Rodriguez-Martinez A, Zhou B, Sophiea MK, Bentham J, Paciorek CJ, Iurilli MLC, Carrillo-Larco RM, Bennett JE, Di Cesare M, Taddei C, Bixby H, Stevens GA, Riley LM, Cowan MJ, Savin S, Danaei G, Chirita-Emandi A, Kengne AP, Khang YH, Laxmaiah A, Malekzadeh R, Miranda JJ, Moon JS, Popovic SR, Sørensen TIA, Soric M, Starc G, Zainuddin AA, Gregg EW, Bhutta ZA, Black R, Abarca-Gómez L, Abdeen ZA, Abdrakhmanova S, Abdul Ghaffar S, Abdul Rahim HF, Abu-Rmeileh NM, Abubakar Garba J, Acosta-Cazares B, Adams RJ, Aekplakorn W, Afsana K, Afzal S, Agdeppa IA, Aghazadeh-Attari J, Aguilar-Salinas CA, Agyemang C, Ahmad MH, Ahmad NA, Ahmadi A, Ahmadi N, Ahmed SH, Ahrens W, Aitmurzaeva G, Ajlouni K, Al-Hazzaa HM, Al-Othman AR, Al-Raddadi R, Alarouj M, AlBuhairan F, AlDhukair S, Ali MM, Alkandari A, Alkerwi A, Allin K, Alvarez-Pedrerol M, Aly E, Amarapurkar DN, Amiri P, Amougou N, Amouyel P, Andersen LB, Anderssen SA, Ängquist L, Anjana RM, Ansari-Moghaddam A, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arku RE, Arlappa N, Aryal KK, Aspelund T, Assah FK, Assunção MCF, Aung MS, Auvinen J, Avdicová M, Azevedo A, Azimi-Nezhad M, Azizi F, Azmin M, Babu BV, Bæksgaard Jørgensen M, Baharudin A, Bahijri S, Baker JL, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Baran J, Barbagallo CM, Barceló A, Barkat A, Barros AJD, Barros MVG, Basit A, Bastos JLD, Bata I, Batieha AM, Batista RL, Battakova Z, Batyrbek A, Baur LA, Beaglehole R, Bel-Serrat S, Belavendra A, Ben Romdhane H, Benedics J, Benet M, Bennett JE, Berkinbayev S, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bezerra J, Bhagyalaxmi A, Bharadwaj S, Bhargava SK, Bhutta ZA, Bi H, Bi Y, Bia D, Bika Lele EC, Bikbov MM, Bista B, Bjelica DJ, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Bloch KV, Blokstra A, Bo S, Bobak M, Boddy LM, Boehm BO, Boeing H, Boggia JG, Bogova E, Boissonnet CP, Bojesen SE, Bonaccio M, Bongard V, Bonilla-Vargas A, Bopp M, Borghs H, Bovet P, Braeckevelt L, Braeckman L, Bragt MCE, Brajkovich I, Branca F, Breckenkamp J, Breda J, Brenner H, Brewster LM, Brian GR, Brinduse L, Brophy S, Bruno G, Bueno-de-Mesquita HB, Bugge A, Buoncristiano M, Burazeri G, Burns C, Cabrera de León A, Cacciottolo J, Cai H, Cama T, Cameron C, Camolas J, Can G, Cândido APC, Cañete F, Capanzana MV, Capková N, Capuano E, Capuano V, Cardol M, Cardoso VC, Carlsson AC, Carmuega E, Carvalho J, Casajús JA, Casanueva FF, Celikcan E, Censi L, Cervantes-Loaiza M, Cesar JA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Che Abdul Rahim N, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Cheraghian B, Chetrit A, Chikova-Iscener E, Chiolero A, Chiou ST, Chirita-Emandi A, Chirlaque MD, Cho B, Christensen K, Christofaro DG, Chudek J, Cifkova R, Cilia M, Cinteza E, Claessens F, Clarke J, Clays E, Cohen E, Concin H, Confortin SC, Cooper C, Coppinger TC, Corpeleijn E, Costanzo S, Cottel D, Cowell C, Craig CL, Crampin AC, Crujeiras AB, Csilla S, Cucu AM, Cui L, Cureau FV, D'Arrigo G, d'Orsi E, Dacica L, Dal Re Saavedra MÁ, Dallongeville J, Damasceno A, Damsgaard CT, Danaei G, Dankner R, Dantoft TM, Dasgupta P, Dastgiri S, Dauchet L, Davletov K, De Backer G, De Bacquer D, de Gaetano G, De Henauw S, de Oliveira PD, De Ridder D, De Ridder K, de Rooij SR, De Smedt D, Deepa M, Deev AD, DeGennaro VJ, Dehghan A, Delisle H, Delpeuch F, Demarest S, Dennison E, Deren K, Deschamps V, Dhana K, Dhimal M, Di Castelnuovo AF, Dias-da-Costa JS, Díaz-Sánchez ME, Diaz A, Dika Z, Djalalinia S, Djordjic V, Do HTP, Dobson AJ, Donati MB, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Dorosty AR, Doua K, Drygas W, Duan JL, Duante CA, Duboz P, Duda RB, Duleva V, Dulskiene V, Dumith SC, Dushpanova A, Dzerve V, Dziankowska-Zaborszczyk E, Eddie R, Eftekhar E, Egbagbe EE, Eggertsen R, Eghtesad S, Eiben G, Ekelund U, El-Khateeb M, El Ati J, Eldemire-Shearer D, Eliasen M, Elliott P, Engle-Stone R, Enguerran M, Erasmus RT, Erbel R, Erem C, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Eslami S, Esmaeili A, Evans A, Faeh D, Fakhretdinova AA, Fall CH, Faramarzi E, Farjam M, Farrugia Sant'Angelo V, Farzadfar F, Fattahi MR, Fawwad A, Felix-Redondo FJ, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrao T, Ferrari M, Ferrario MM, Ferreccio C, Ferrer E, Ferrieres J, Figueiró TH, Fijalkowska A, Fink G, Fischer K, Föger B, Foo LH, Forsner M, Fouad HM, Francis DK, Franco MDC, Franco OH, Frikke-Schmidt R, Frontera G, Fuchs FD, Fuchs SC, Fujiati II, Fujita Y, Fumihiko M, Furusawa T, Gaciong Z, Gafencu M, Galbarczyk A, Galenkamp H, Galeone D, Galfo M, Galvano F, Gao J, Garcia-de-la-Hera M, García-Solano M, Gareta D, Garnett SP, Gaspoz JM, Gasull M, Gaya ACA, Gaya AR, Gazzinelli A, Gehring U, Geiger H, Geleijnse JM, Ghanbari A, Ghasemi E, Gheorghe-Fronea OF, Giampaoli S, Gianfagna F, Gill TK, Giovannelli J, Gironella G, Giwercman A, Gkiouras K, Godos J, Gogen S, Goldsmith RA, Goltzman D, Gómez SF, Gomula A, Goncalves Cordeiro da Silva B, Gonçalves H, Gonzalez-Chica DA, Gonzalez-Gross M, González-Leon M, González-Rivas JP, González-Villalpando C, González-Villalpando ME, Gonzalez AR, Gottrand F, Graça AP, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grøholt EK, Grøntved A, Grosso G, Gruden G, Gu D, Gualdi-Russo E, Guallar-Castillón P, Gualtieri A, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter MJ, Guo XH, Guo Y, Gupta PC, Gupta R, Gureje O, Gurzkowska B, Gutiérrez-González E, Gutierrez L, Gutzwiller F, Ha S, Hadaegh F, Hadjigeorgiou CA, Haghshenas R, Hakimi H, Halkjær J, Hambleton IR, Hamzeh B, Hange D, Hanif AAM, Hantunen S, Hari Kumar R, Hashemi-Shahri SM, Hassapidou M, Hata J, Haugsgjerd T, Hayes AJ, He J, He Y, He Y, Heidinger-Felso R, Heinen M, Hejgaard T, Hendriks ME, Henrique RDS, Henriques A, Hernandez Cadena L, Herrala S, Herrera VM, Herter-Aeberli I, Heshmat R, Hill AG, Ho SY, Ho SC, Hobbs M, Hofman A, Holden Bergh I, Holdsworth M, Homayounfar R, Homs C, Hopman WM, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Hu Y, Huerta JM, Huhtaniemi IT, Huidumac Petrescu C, Husseini A, Huu CN, Huybrechts I, Hwalla N, Hyska J, Iacoviello L, Ibarluzea JM, Ibrahim MM, Ibrahim Wong N, Ikeda N, Ikram MA, Iotova V, Irazola VE, Ishida T, Islam M, Islam SMS, Iwasaki M, Jackson RT, Jacobs JM, Jaddou HY, Jafar T, James K, Jamil KM, Jamrozik K, Janszky I, Janus E, Jarani J, Jarvelin MR, Jasienska G, Jelakovic A, Jelakovic B, Jennings G, Jha AK, Jiang CQ, Jimenez RO, Jöckel KH, Joffres M, Johansson M, Jokelainen JJ, Jonas JB, Jørgensen T, Joshi P, Joukar F, Jovic DP, Józwiak JJ, Juolevi A, Jurak G, Jurca Simina I, Juresa V, Kaaks R, Kaducu FO, Kafatos A, Kajantie EO, Kalmatayeva Z, Kalter-Leibovici O, Kameli Y, Kanala KR, Kannan S, Kapantais E, Karki KB, Katibeh M, Katz J, Katzmarzyk PT, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva GM, Keil U, Keinan Boker L, Keinänen-Kiukaanniemi S, Kelishadi R, Kelleher C, Kemper HCG, Kengne AP, Keramati M, Kerimkulova A, Kersting M, Key T, Khader YS, Khalili D, Khang YH, Khaw KT, Kheiri B, Kheradmand M, Khosravi A, Khouw IMSL, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim DW, Kim HC, Kim J, Kindblom JM, Klakk H, Klimek M, Klimont J, Klumbiene J, Knoflach M, Koirala B, Kolle E, Kolsteren P, König J, Korpelainen R, Korrovits P, Korzycka M, Kos J, Koskinen S, Kouda K, Kovacs VA, Kowlessur S, Koziel S, Kratzer W, Kriemler S, Kristensen PL, Krokstad S, Kromhout D, Krtalic B, Kruger HS, Kubinova R, Kuciene R, Kujala UM, Kujundzic E, Kulaga Z, Kumar RK, Kunešová M, Kurjata P, Kusuma YS, Kuulasmaa K, Kyobutungi C, La QN, Laamiri FZ, Laatikainen T, Lachat C, Laid Y, Lam TH, Lambrinou CP, Landais E, Lanska V, Lappas G, Larijani B, Latt TS, Lauria L, Laxmaiah A, Lazo-Porras M, Le Nguyen Bao K, Le Port A, Le TD, Lee J, Lee J, Lee PH, Lehmann N, Lehtimäki T, Lemogoum D, Levitt NS, Li Y, Liivak M, Lilly CL, Lim WY, Lima-Costa MF, Lin HH, Lin X, Lin YT, Lind L, Linneberg A, Lissner L, Litwin M, Liu J, Liu L, Lo WC, Loit HM, Long KQ, Lopes L, Lopes O, Lopez-Garcia E, Lopez T, Lotufo PA, Lozano JE, Lukrafka JL, Luksiene D, Lundqvist A, Lundqvist R, Lunet N, Lunogelo C, Lustigová M, Luszczki E, Ma G, Ma J, Ma X, Machado-Coelho GLL, Machado-Rodrigues AM, Machi S, Macieira LM, Madar AA, Maggi S, Magliano DJ, Magnacca S, Magriplis E, Mahasampath G, Maire B, Majer M, Makdisse M, Mäki P, Malekzadeh F, Malekzadeh R, Malhotra R, Mallikharjuna Rao K, Malyutina SK, Maniego LV, Manios Y, Mann JI, Mansour-Ghanaei F, Manzato E, Margozzini P, Markaki A, Markey O, Markidou Ioannidou E, Marques-Vidal P, Marques LP, Marrugat J, Martin-Prevel Y, Martin R, Martorell R, Martos E, Marventano S, Mascarenhas LP, Masoodi SR, Mathiesen EB, Mathur P, Matijasevich A, Matsha TE, Mavrogianni C, Mazur A, Mbanya JCN, McFarlane SR, McGarvey ST, McKee M, McLachlan S, McLean RM, McLean SB, McNulty BA, Mediene-Benchekor S, Medzioniene J, Mehdipour P, Mehlig K, Mehrparvar AH, Meirhaeghe A, Meisfjord J, Meisinger C, Menezes AMB, Menon GR, Mensink GBM, Menzano MT, Mereke A, Meshram II, Metspalu A, Mi J, Michaelsen KF, Michels N, Mikkel K, Milkowska K, Miller JC, Minderico CS, Mini GK, Miquel JF, Miranda JJ, Mirjalili MR, Mirkopoulou D, Mirrakhimov E, Mišigoj-Durakovic M, Mistretta A, Mocanu V, Modesti PA, Moghaddam SS, Mohajer B, Mohamed MK, Mohamed SF, Mohammad K, Mohammadi Z, Mohammadifard N, Mohammadpourhodki R, Mohan V, Mohanna S, Mohd Yusoff MF, Mohebbi I, Mohebi F, Moitry M, Molbo D, Møllehave LT, Møller NC, Molnár D, Momenan A, Mondo CK, Monroy-Valle M, Monterrubio-Flores E, Monyeki KDK, Moon JS, Moosazadeh M, Moreira LB, Morejon A, Moreno LA, Morgan K, Morin SN, Mortensen EL, Moschonis G, Mossakowska M, Mostafa A, Mota-Pinto A, Mota J, Motlagh ME, Motta J, Moura-dos-Santos MA, Mridha MK, Msyamboza KP, Mu TT, Muc M, Mugoša B, Muiesan ML, Mukhtorova P, Müller-Nurasyid M, Murphy N, Mursu J, Murtagh EM, Musa KI, Music Milanovic S, Musil V, Mustafa N, Nabipour I, Naderimagham S, Nagel G, Naidu BM, Najafi F, Nakamura H, Námešná J, Nang EEK, Nangia VB, Nankap M, Narake S, Nardone P, Nauck M, Neal WA, Nejatizadeh A, Nelis K, Nelis L, Nenko I, Neovius M, Nervi F, Nguyen CT, Nguyen D, Nguyen QN, Nieto-Martínez RE, Nikitin YP, Ning G, Ninomiya T, Nishtar S, Noale M, Noboa OA, Nogueira H, Norat T, Nordendahl M, Nordestgaard BG, Noto D, Nowak-Szczepanska N, Nsour MA, Nuhoglu I, Nurk E, O'Neill TW, O'Reilly D, Obreja G, Ochimana C, Ochoa-Avilés AM, Oda E, Oh K, Ohara K, Ohlsson C, Ohtsuka R, Olafsson Ö, Olinto MTA, Oliveira IO, Omar MA, Onat A, Ong SK, Ono LM, Ordunez P, Ornelas R, Ortiz AP, Ortiz PJ, Osler M, Osmond C, Ostojic SM, Ostovar A, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Padez C, Pagkalos I, Pahomova E, Paiva KMD, Pajak A, Palli D, Palloni A, Palmieri L, Pan WH, Panda-Jonas S, Pandey A, Panza F, Papandreou D, Park SW, Park S, Parnell WR, Parsaeian M, Pascanu IM, Pasquet P, Patel ND, Pednekar MS, Peer N, Peixoto SV, Peltonen M, Pereira AC, Peres MA, 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X, Yiallouros PK, Yoosefi M, Yoshihara A, You QS, You SL, Younger-Coleman NO, Yusof SM, Yusoff AF, Zaccagni L, Zafiropulos V, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Zaw KK, Zdrojewski T, Zeljkovic Vrkic T, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zocalo Y, Zuñiga Cisneros J, Zuziak M, Ezzati M. Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants. Lancet 2020; 396:1511-1524. [PMID: 33160572 PMCID: PMC7658740 DOI: 10.1016/s0140-6736(20)31859-6] [Citation(s) in RCA: 171] [Impact Index Per Article: 42.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 08/03/2020] [Accepted: 08/19/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. METHODS For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5-19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. FINDINGS We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9-10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes-gaining too little height, too much weight for their height compared with children in other countries, or both-occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. INTERPRETATION The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks. FUNDING Wellcome Trust, AstraZeneca Young Health Programme, EU.
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Panda-Jonas S, Panza F, Parnell WR, Patel ND, Peer N, Peixoto SV, Peltonen M, Pereira AC, Peters A, Petersmann A, Petkeviciene J, Peykari N, Pham ST, Pichardo RN, Pigeot I, Pilav A, Pilotto L, Piwonska A, Pizarro AN, Plans-Rubió P, Plata S, Pohlabeln H, Porta M, Portegies MLP, Poudyal A, Pourfarzi F, Poustchi H, Pradeepa R, Price JF, Providencia R, Puder JJ, Puhakka SE, Punab M, Qorbani M, Bao TQ, Radisauskas R, Rahimikazerooni S, Raitakari O, Rao SR, Ramachandran A, Ramos E, Ramos R, Rampal L, Rampal S, Redon J, Reganit PFM, Revilla L, Rezaianzadeh A, Ribeiro R, Richter A, Rigo F, Rinke de Wit TF, Rodríguez-Artalejo F, del Cristo Rodriguez-Perez M, Rodríguez-Villamizar LA, Roggenbuck U, Rojas-Martinez R, Romaguera D, Romeo EL, Rosengren A, Roy JGR, Rubinstein A, Ruidavets JB, Ruiz-Betancourt BS, Russo P, Rust P, Rutkowski M, Sabanayagam C, Sachdev HS, Sadjadi A, Safarpour AR, Safiri S, Saidi O, Saki N, Salanave B, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sans S, Santaliestra-Pasías AM, Santos DA, Santos MP, Santos R, Saramies JL, Sardinha LB, Sarrafzadegan N, Saum KU, Savva SC, Sawada N, Sbaraini M, Scazufca M, Schaan BD, Schargrodsky H, Scheidt-Nave C, Schienkiewitz A, Schipf S, Schmidt CO, Schöttker B, Schramm S, Sebert S, Sein AA, Sen A, Sepanlou SG, Servais J, Shakeri R, Shalnova SA, Shamah-Levy T, Sharafkhah M, Sharma SK, Shaw JE, Shayanrad A, Shi Z, Shibuya K, Shimizu-Furusawa H, Shin DW, Shin Y, Shirani M, Shiri R, Shrestha N, Si-Ramlee K, Siani A, Siantar R, Sibai AM, Silva DAS, Simon M, Simons J, Simons LA, Sjöström M, Skaaby T, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Snijder MB, Söderberg S, Soemantri A, Sofat R, Solfrizzi V, Somi MH, Sonestedt E, Sørensen TIA, Jérome CS, Soumaré A, Sozmen K, Sparrenberger K, Staessen JA, Stathopoulou MG, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stessman J, Stevanović R, Stieber J, Stöckl D, Stokwiszewski J, Stronks K, Strufaldi MW, Suárez-Medina R, Sun CA, Sundström J, Suriyawongpaisal P, Sy RG, Sylva RC, Szklo M, Tai ES, Tamosiunas A, Tan EJ, Tarawneh MR, Tarqui-Mamani CB, Taylor A, Taylor J, Tell GS, Tello T, Thankappan KR, Thijs L, Thuesen BH, Toft U, Tolonen HK, Tolstrup JS, Topbas M, Topór-Madry R, Tormo MJ, Tornaritis MJ, Torrent M, Torres-Collado L, Traissac P, Trinh OTH, Truthmann J, Tsugane S, Tulloch-Reid MK, Tuomainen TP, Tuomilehto J, Tybjaerg-Hansen A, Tzourio C, Ueda P, Ugel E, Ulmer H, Unal B, Uusitalo HMT, Valdivia G, Valvi D, van Dam RM, van der Schouw YT, Van Herck K, Van Minh H, van Rossem L, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Varbo A, Varona-Pérez P, Vasan SK, Vatten L, Vega T, Veidebaum T, Velasquez-Melendez G, Venero-Fernández SJ, Veronesi G, Verschuren WMM, Victora CG, Vidiawati D, Viet L, Villalpando S, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Voutilainen A, Wade AN, Wagner A, Walton J, Bebakar WMW, Mohamud WNW, Wang MD, Wang N, Wang Q, Wang YX, Wang YW, Wannamethee SG, Wedderkopp N, Wei W, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wijga AH, Wilks RJ, Willeit J, Willeit P, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong A, Wong TY, Woo J, Woodward M, Wu FC, Wu S, Xu H, Xu L, Yan W, Yang X, Yasuharu T, Ye X, Yeow TP, Yiallouros PK, Yoosefi M, Yoshihara A, You SL, Younger-Coleman NO, Yusoff AF, Zainuddin AA, Zakavi SR, Zali MR, Zamani F, Zambon S, Zampelas A, Zaw KK, Zdrojewski T, Vrkic TZ, Zhang ZY, Zhao W, Zhen S, Zheng Y, Zholdin B, Zhussupov B, Zoghlami N, Cisneros JZ, Gregg EW, Ezzati M. Repositioning of the global epicentre of non-optimal cholesterol. Nature 2020; 582:73-77. [PMID: 32494083 PMCID: PMC7332422 DOI: 10.1038/s41586-020-2338-1] [Citation(s) in RCA: 111] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 04/02/2020] [Indexed: 11/25/2022]
Abstract
High blood cholesterol is typically considered a feature of wealthy western countries1,2. However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world3 and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health4,5. However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol-which is a marker of cardiovascular risk-changed from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95% credible interval 3.7 million-4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world.
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McNamara AE, Collins C, Harsha PSCS, González-Peña D, Gibbons H, McNulty BA, Nugent AP, Walton J, Flynn A, Brennan L. Metabolomic-Based Approach to Identify Biomarkers of Apple Intake. Mol Nutr Food Res 2020; 64:e1901158. [PMID: 32243719 DOI: 10.1002/mnfr.201901158] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 03/16/2020] [Indexed: 01/18/2023]
Abstract
SCOPE There is an increased interest in developing biomarkers of food intake to address some of the limitations associated with self-reported data. The objective is to identify biomarkers of apple intake, examine dose-response relationships, and agreement with self-reported data. METHODS AND RESULTS Metabolomic data from three studies are examined: an acute intervention, a short-term intervention, and a free-living cohort study. Fasting and postprandial urine samples are collected for analysis by 1 H-NMR and liquid chromatography-mass spectrometry (LC-MS). Calibration curves are developed to determine apple intake and classify individuals into categories of intake. Multivariate analysis of data reveals that levels of multiple metabolites increase significantly post-apple consumption, compared to the control food-broccoli. In the dose-response study, urinary xylose, epicatechin sulfate, and 2,6-dimethyl-2-(2-hydroxyethyl)-3,4-dihydro-2H-1-benzopyran increase as apple intake increases. Urinary xylose concentrations in a free-living cohort perform poorly at an individual level but are capable of ranking individuals in categories of intake. CONCLUSION Urinary xylose exhibits a dose-response relationship with apple intake and performs well as a ranking biomarker in the population study. Other potential biomarkers are identified and future work will combine these with xylose in a biomarker panel which may allow for a more objective determination of individual intake.
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Affiliation(s)
- Aoife E McNamara
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.,UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland
| | - Cassandra Collins
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.,UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland
| | - Pedapati S C Sri Harsha
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.,UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland
| | - Diana González-Peña
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.,UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland
| | - Helena Gibbons
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.,UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland
| | - Breige A McNulty
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland
| | - Anne P Nugent
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.,Institute for Global Food Security, School of Biological Sciences, Queens University Belfast, Belfast, Northern Ireland
| | - Janette Walton
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland.,Department of Biological Sciences, Cork Institute of Technology, Cork, Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Lorraine Brennan
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.,UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland
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McCourt A, McNulty BA, Walton J, O'Sullivan A. Efficacy and safety of food fortification to improve vitamin D intakes of older adults. Nutrition 2020; 75-76:110767. [PMID: 32248053 DOI: 10.1016/j.nut.2020.110767] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 01/13/2020] [Accepted: 01/14/2020] [Indexed: 11/16/2022]
Abstract
OBJECTIVES The aim of this study was to determine the best foods for potential vitamin D food fortification and to model the efficacy and safety of different food fortification scenarios in adults ≥50 y of age in Ireland. METHODS National Adult Nutrition Survey vitamin D data for participants ≥50 y of age were updated. Vitamin D from foods with natural and added vitamin D was estimated and daily vitamin D intake patterns were examined. Data modeling was used to estimate the effects of target food fortification scenarios. RESULTS Almost two-thirds of the mean daily vitamin D intake of adults ≥50 y of age (7 ± 7 µg) comes from foods with added vitamin D. Milk and bread are the most frequently consumed foods across all meals and were subsequently targeted for the data modeling exercise. Results from the data modeling show that vitamin D intake increased between 9 and 17 µg/d, depending on the fortification scenario. Fortifying milk or bread resulted in ∼30% or ∼55% of individuals meeting the Recommended Daily Allowance (RDA); however, fortifying both simultaneously resulted in ∼70% meeting the RDA. CONCLUSIONS Currently, the majority of Irish adults ≥50 y of age are not meeting dietary recommendations for vitamin D. Fortification of commonly consumed foods such as milk and bread could improve daily intakes such that ∼70% of the cohort would meet the minimum recommendation. Future research should examine the efficacy of different food fortification scenarios to improve vitamin D intakes for older adults.
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Affiliation(s)
- Aislinn McCourt
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin, Ireland
| | - Breige A McNulty
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin, Ireland
| | - Janette Walton
- School of Biological Sciences, Cork Institute of Technology, Cork, Ireland
| | - Aifric O'Sullivan
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin, Ireland.
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21
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Morrissey E, Giltinan M, Kehoe L, Nugent AP, McNulty BA, Flynn A, Walton J. Sodium and Potassium Intakes and Their Ratio in Adults (18-90 y): Findings from the Irish National Adult Nutrition Survey. Nutrients 2020; 12:E938. [PMID: 32231006 PMCID: PMC7231049 DOI: 10.3390/nu12040938] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 03/21/2020] [Accepted: 03/26/2020] [Indexed: 01/26/2023] Open
Abstract
An individual's sodium to potassium intake ratio (Na:K) has been shown to be an important predictor of hypertension. The aim of this study was to estimate the mean 24 h urinary Na, K and Na:K of Irish adults and to identify the foods that determine Na:K in a nationally representative sample of Irish adults. This study was based on data from the Irish National Adult Nutrition Survey (2008-2010) (NANS), which collected spot urine samples and dietary data in a nationally representative sample of Irish adults aged 18+ years. The mean urinary molar Na:K of Irish men and women was 1.90 and 2.15, respectively, which exceed target molar ratios of ≤1.0 and ≤2.0. The mean estimated 24-h urinary excretion of Na was 4631 mg for men and 3525 mg for women, which exceed target maximum population intakes for all gender and age groups. The mean estimated 24-h urinary excretion of K was 3894 mg for men and 2686 mg for women, with intakes in women of all ages and older men (65+ years) below current recommendations. The key foods positively associated with a lower Na:K were fruits, vegetables, potatoes, breakfast cereals, milk, yogurt and fresh meat, while the foods negatively associated with a lower Na:K were breads, cured and processed meats and butters and fat spreads. Strategies to reduce sodium and increase potassium intakes are necessary to lower population Na:K, which may help to reduce the burden of hypertension-related diseases in the Irish population.
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Affiliation(s)
- Eoin Morrissey
- Department of Biological Sciences, Cork Institute of Technology, T12928 Cork, Ireland
| | - Miriam Giltinan
- School of Food and Nutritional Sciences, University College Cork, T12 K8AF Cork, Ireland
| | - Laura Kehoe
- School of Food and Nutritional Sciences, University College Cork, T12 K8AF Cork, Ireland
| | - Anne P. Nugent
- UCD Institute of Food and Health, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland
- Institute for Global Food Security, School of Biological Sciences, Queens University Belfast, Belfast BT7 1NN, Northern Ireland, UK
| | - Breige A. McNulty
- UCD Institute of Food and Health, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, T12 K8AF Cork, Ireland
| | - Janette Walton
- Department of Biological Sciences, Cork Institute of Technology, T12928 Cork, Ireland
- School of Food and Nutritional Sciences, University College Cork, T12 K8AF Cork, Ireland
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22
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Hone M, Nugent AP, Walton J, McNulty BA, Egan B. Habitual protein intake, protein distribution patterns and dietary sources in Irish adults with stratification by sex and age. J Hum Nutr Diet 2020; 33:465-476. [PMID: 31997529 DOI: 10.1111/jhn.12736] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 12/21/2019] [Accepted: 12/24/2019] [Indexed: 12/15/2022]
Abstract
BACKGROUND Given the importance of habitual dietary protein intake, distribution patterns and dietary sources in the aetiology of age-related declines of muscle mass and function, the present study examined these factors as a function of sex and age in Irish adults aged 18-90 years comprising The National Adult Nutrition Survey (NANS). METHODS In total, 1051 (males, n = 523; females, n = 528) undertook a 4-day semi-weighed food diary. Total, body mass relative intake and percentage contribution to total energy intake of dietary protein were determined in addition to protein distribution scores (PDS), as well as the contribution of food groups, animal- and plant-based foods to total protein intake. RESULTS Total and relative protein intake [mean (SD)] were highest in those aged 18-35 years [96 (3) g day-1 , 1.32 (0.40) g kg-1 day-1 ], with lower protein intakes with increasing age (i.e. in adults aged ≥65 years [82 (22) g, 1.15 (0.34) g kg-1 day-1 , P < 0.001 for both]. Differences in protein intake between age groups were more pronounced in males compared to females. Protein distribution followed a skewed pattern for all age groups [breakfast, 15 (10) g; lunch, 30 (15) g; dinner, 44 (17) g]. Animal-based foods were the dominant protein source within the diet [63% (11%) versus 37% (11%) plant protein, P < 0.001]. CONCLUSIONS Protein intake and the number of meals reaching the purported threshold for maximising post-prandial anabolism were highest in young adults, and lower with increasing age. For main meals, breakfast provided the lowest quantity of protein across all age categories and may represent an opportunity for improving protein distribution, whereas, in older adults, increasing the number of meals reaching the anabolic threshold regardless of distribution pattern may be more appropriate.
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Affiliation(s)
- M Hone
- School of Health and Human Performance, Dublin City University, Glasnevin, Ireland
| | - A P Nugent
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Ireland.,School of Biological Sciences, Institute for Global Food Security, Queen's University Belfast, Belfast, Northern Ireland
| | - J Walton
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland.,Department of Biological Sciences, Cork Institute of Technology, Cork, Ireland
| | - B A McNulty
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Ireland
| | - B Egan
- School of Health and Human Performance, Dublin City University, Glasnevin, Ireland.,National Institute for Cellular Biotechnology, Dublin City University, Glasnevin, Ireland
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23
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Yin X, Gibbons H, Rundle M, Frost G, McNulty BA, Nugent AP, Walton J, Flynn A, Brennan L. The Relationship between Fish Intake and Urinary Trimethylamine-N-Oxide. Mol Nutr Food Res 2020; 64:e1900799. [PMID: 31863680 DOI: 10.1002/mnfr.201900799] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 12/05/2019] [Indexed: 12/14/2022]
Abstract
SCOPE Fish intake is reported to be associated with certain health benefits; however, accurate assessment of fish intake is still problematic. The objective of this study is to identify fish intake biomarkers and examine relationships with health parameters in a free-living population. METHODS AND RESULTS In the NutriTech study, ten participants randomized into the fish group consume increasing quantities of fish for 3 days per week for 3 weeks. Urine is analyzed by NMR spectroscopy. Trimethylamine-N-oxide (TMAO), dimethylamine, and dimethyl sulfone are identified and display significant dose-response with intake (p < 0.05). Fish consumption yields a greater increase in urinary TMAO compared to red meat. Biomarker-derived fish intake is calculated in the National Adult Nutrition Survey cross-sectional study. However, the correlation between fish intake and TMAO (r = 0.148, p < 0.01) and that between fish intake and calculated fish intake (r = 0.142, p < 0.01) are poor. In addition, TMAO shows significantly positive correlation with serum insulin and insulin resistance in males and the relationship is more pronounced for males with high dietary fat intake. CONCLUSION Urinary TMAO displays a strong dose-response relationship with fish intake; however, use of TMAO alone is insufficient to determine fish intake in a free-living population.
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Affiliation(s)
- Xiaofei Yin
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Helena Gibbons
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Milena Rundle
- Faculty of Medicine, Department of Medicine, Imperial College London, London, UK
| | - Gary Frost
- Faculty of Medicine, Department of Medicine, Imperial College London, London, UK
| | - Breige A McNulty
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Anne P Nugent
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin, Ireland.,Institute for Global Food Security, School of Biological Sciences, Queens University Belfast, Northern Ireland
| | - Janette Walton
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland.,Department of Biological Sciences, Cork Institute of Technology, Cork, Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Lorraine Brennan
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin, Ireland
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24
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McNulty H, Rollins M, Cassidy T, Caffrey A, Marshall B, Dornan J, McLaughlin M, McNulty BA, Ward M, Strain JJ, Molloy AM, Lees-Murdock DJ, Walsh CP, Pentieva K. Effect of continued folic acid supplementation beyond the first trimester of pregnancy on cognitive performance in the child: a follow-up study from a randomized controlled trial (FASSTT Offspring Trial). BMC Med 2019; 17:196. [PMID: 31672132 PMCID: PMC6823954 DOI: 10.1186/s12916-019-1432-4] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 09/23/2019] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Periconceptional folic acid prevents neural tube defects (NTDs), but it is uncertain whether there are benefits for offspring neurodevelopment arising from continued maternal folic acid supplementation beyond the first trimester. We investigated the effect of folic acid supplementation during trimesters 2 and 3 of pregnancy on cognitive performance in the child. METHODS We followed up the children of mothers who had participated in a randomized controlled trial in 2006/2007 of Folic Acid Supplementation during the Second and Third Trimesters (FASSTT) and received 400 μg/d folic acid or placebo from the 14th gestational week until the end of pregnancy. Cognitive performance of children at 7 years was evaluated using the Wechsler Preschool and Primary Scale of Intelligence (WPPSI-III) and at 3 years using the Bayley's Scale of Infant and Toddler Development (BSITD-III). RESULTS From a total of 119 potential mother-child pairs, 70 children completed the assessment at age 7 years, and 39 at age 3 years. At 7 years, the children of folic acid treated mothers scored significantly higher than the placebo group in word reasoning: mean 13.3 (95% CI 12.4-14.2) versus 11.9 (95% CI 11.0-12.8); p = 0.027; at 3 years, they scored significantly higher in cognition: 10.3 (95% CI 9.3-11.3) versus 9.5 (95% CI 8.8-10.2); p = 0.040. At both time points, greater proportions of children from folic acid treated mothers compared with placebo had cognitive scores above the median values of 10 (girls and boys) for the BSITD-III, and 24.5 (girls) and 21.5 (boys) for the WPPSI-III tests. When compared with a nationally representative sample of British children at 7 years, WPPSI-III test scores were higher in children from folic acid treated mothers for verbal IQ (p < 0.001), performance IQ (p = 0.035), general language (p = 0.002), and full scale IQ (p = 0.001), whereas comparison of the placebo group with British children showed smaller differences in scores for verbal IQ (p = 0.034) and full scale IQ (p = 0.017) and no differences for performance IQ or general language. CONCLUSIONS Continued folic acid supplementation in pregnancy beyond the early period recommended to prevent NTD may have beneficial effects on child cognitive development. Further randomized trials in pregnancy with follow-up in childhood are warranted. TRIAL REGISTRATION ISRCTN ISRCTN19917787 . Registered 15 May 2013.
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Affiliation(s)
- Helene McNulty
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, BT52 1SA, Northern Ireland, UK
| | - Mark Rollins
- Northern Health and Social Care Trust, Causeway Hospital, Northern Ireland, UK
| | - Tony Cassidy
- Psychology Research Institute, Ulster University, Northern Ireland, UK
| | - Aoife Caffrey
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, BT52 1SA, Northern Ireland, UK
| | - Barry Marshall
- Northern Health and Social Care Trust, Causeway Hospital, Northern Ireland, UK
| | - James Dornan
- Royal-Jubilee Maternity Service, Belfast, Northern Ireland, UK
| | - Marian McLaughlin
- Psychology Research Institute, Ulster University, Northern Ireland, UK
| | - Breige A McNulty
- Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Mary Ward
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, BT52 1SA, Northern Ireland, UK
| | - J J Strain
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, BT52 1SA, Northern Ireland, UK
| | - Anne M Molloy
- School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Diane J Lees-Murdock
- Genomic Medicine Group, School of Biomedical Sciences, Ulster University, Northern Ireland, UK
| | - Colum P Walsh
- Genomic Medicine Group, School of Biomedical Sciences, Ulster University, Northern Ireland, UK
| | - Kristina Pentieva
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, BT52 1SA, Northern Ireland, UK.
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25
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Kehoe L, Walton J, Hopkins SM, McNulty BA, Nugent AP, Flynn A. Modelling the impact of mandatory folic acid fortification of bread or flour in Ireland on the risk of occurrence of NTD-affected pregnancies in women of childbearing age and on risk of masking vitamin B 12 deficiency in older adults. Eur J Nutr 2019; 59:2631-2639. [PMID: 31646387 DOI: 10.1007/s00394-019-02111-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Accepted: 10/04/2019] [Indexed: 11/25/2022]
Abstract
PURPOSE The rate of neural tube defects (NTDs) in Europe has remained similar since the 1990s despite folic acid supplement recommendations (400 µg/day) for women of childbearing age. Mandatory folic acid fortification of staple foods has proved effective for reducing the prevalence of NTDs in over 80 countries. This study estimated the impact of addition of folic acid to bread or flour in the Republic of Ireland on reducing the risk of occurrence of NTD-affected pregnancies and the possible risk of masking (undiagnosed) vitamin B12 deficiency in older adults. METHODS Analyses were based on the Irish National Adult Nutrition Survey (2008-2010). Folic acid fortification was modelled using DaDiet© software. Estimates were made of the increase in average daily folic acid intake in women (18-50 years) and the risk of exceeding the tolerable upper intake level (UL) of 1000 µg for folic acid in adults over 50 years of age. RESULTS The fortification scenarios examined would reduce the risk of NTD-affected pregnancies by 8-32%, corresponding to an increase of 39-152 μg in the mean daily folic acid intake of WCBA. The risk of masking anaemia associated with vitamin B12 deficiency in older adults would be negligible as the probability of exceeding the UL for folic acid, even by a small amount, is very low (≤ 0.2%). CONCLUSIONS These levels of addition of folic acid to bread or flour would effectively reduce the risk of NTDs while allowing safe consumption of folic acid at current levels from other fortified foods and supplements.
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Affiliation(s)
- Laura Kehoe
- School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland.
| | - Janette Walton
- School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland
- Department of Biological Sciences, Cork Institute of Technology, Cork, Republic of Ireland
| | - Sinead M Hopkins
- UCD Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland
| | - Breige A McNulty
- UCD Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland
| | - Anne P Nugent
- UCD Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland
- Institute for Global Food Security, Queens University Belfast, Belfast, Northern Ireland, UK
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland
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Shaw M, Nugent AP, McNulty BA, Walton J, McHugh M, Kane A, Moore Heslin A, Morrissey E, Mullan K, Woodside JV. What is the availability of iodised salt in supermarkets on the Island of Ireland? Eur J Clin Nutr 2019; 73:1636-1638. [PMID: 31624363 DOI: 10.1038/s41430-019-0518-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 10/01/2019] [Accepted: 10/03/2019] [Indexed: 11/10/2022]
Abstract
Iodine deficiency remains a global nutritional public health challenge, with evidence suggesting borderline adequate or even deficient status for UK and Irish subpopulations such as schoolgirls and pregnant women. The solution, according to the WHO, is salt iodisation, but it is not known how widely available iodised salt is in supermarkets. Iodised salt availability was determined by a shelf survey of 89 supermarket stores on the island of Ireland (n = 30 in Northern Ireland and n = 59 in the Republic of Ireland) from September 2018 to January 2019, to take into account factors such as store type, location, population density, socioeconomic status and ethnicity. Availability was calculated as the number of stores selling iodised salt as a percentage of the total. Iodised salt was only available in 11 stores (12%), of which 10 were ethnic stores. This indicates a lack of access for the majority of the Irish and Northern Irish populations.
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Affiliation(s)
- Mark Shaw
- Institute for Global Food Security, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK
| | - Anne P Nugent
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, UK
| | - Breige A McNulty
- Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Dublin, Dublin 4, Ireland
| | - Janette Walton
- Department of Biological Sciences, Cork Institute of Technology, Cork, Ireland
| | - Michaela McHugh
- Institute for Global Food Security, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK
| | - Ashley Kane
- Institute for Global Food Security, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK
| | - Aoibhin Moore Heslin
- Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Dublin, Dublin 4, Ireland
| | - Eoin Morrissey
- Department of Biological Sciences, Cork Institute of Technology, Cork, Ireland
| | - Karen Mullan
- Regional Centre for Endocrinology & Diabetes, Belfast Health & Social Care Trust, Belfast, UK
| | - Jayne V Woodside
- Institute for Global Food Security, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK.
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D'Angelo S, Gormley IC, McNulty BA, Nugent AP, Walton J, Flynn A, Brennan L. Combining biomarker and food intake data: calibration equations for citrus intake. Am J Clin Nutr 2019; 110:977-983. [PMID: 31432078 DOI: 10.1093/ajcn/nqz168] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Accepted: 07/02/2019] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Measurement error associated with self-reported dietary intake is a well-documented issue. Combining biomarkers of food intake and dietary intake data is a high priority. OBJECTIVES The aim of this study was to develop calibration equations for food intake, illustrated with an application for citrus intake. Further, a simulation-based framework was developed to determine the portion of biomarker data needed for stable calibration equation estimation in large population studies. METHODS Calibration equations were developed using mean daily self-reported citrus intake (4-d semiweighed food diaries) and biomarker-derived intake (urinary proline betaine biomarker) data from participants (n = 565) as part of a cross-sectional study. Different functional specifications and biomarker transformations were tested to derive the optimal calibration equation specifications. The simulation study was developed using linear regression for the calibration equations. Stability in the calibration equation estimations was investigated for varying portions of biomarker and intake data "qualities." RESULTS With citrus intake, linear regression on nontransformed biomarker data resulted in the optimal calibration equation specifications and produced good-quality predicted intakes. The lowest mean squared error (14,354) corresponded to a linear regression model, defined with biomarker-derived estimates of intakes on the original scale. Using this model in a subpopulation without biomarker data resulted in an average mean ± SD citrus intake of 81 ± 66 g/d. The simulation study suggested that in large population studies, biomarker data on 20-30% of the subjects are required to guarantee stable estimation of calibration equations. This article is accompanied by a web application ("Bio-Intake"), which was developed to facilitate measurement error correction in self-reported mean daily citrus intake data. CONCLUSIONS Calibration equations proved to be a useful instrument to correct measurement error in self-reported food intake data. The simulation study demonstrated that the use of food intake biomarkers may be feasible and beneficial in the context of large population studies.
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Affiliation(s)
- Silvia D'Angelo
- Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Dublin, Ireland.,School of Mathematics and Statistics, Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland
| | - Isobel Claire Gormley
- School of Mathematics and Statistics, Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland
| | - Breige A McNulty
- Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Anne P Nugent
- Institute for Global Food Security, School of Biological Sciences, Queens University Belfast, Northern Ireland, United Kingdom
| | - Janette Walton
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland.,Department of Biological Sciences, Cork Institute of Technology, Cork, Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Lorraine Brennan
- Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
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Crowe M, O'Sullivan M, McNulty BA, Cassetti O, O'Sullivan A. Data Mapping From Food Diaries to Augment the Amount and Frequency of Foods Measured Using Short Food Questionnaires. Front Nutr 2018; 5:82. [PMID: 30356824 PMCID: PMC6190565 DOI: 10.3389/fnut.2018.00082] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Accepted: 08/21/2018] [Indexed: 12/20/2022] Open
Abstract
Collecting accurate and detailed dietary intake data is costly at a national level. Accordingly, limited dietary assessment tools such as Short Food Questionnaires (SFQs) are increasingly used in large surveys. This paper describes a novel method linking matched datasets to improve the quality of dietary data collected. Growing Up in Ireland (GUI) is a nationally representative longitudinal study of infants in the Republic of Ireland which used a SFQ (with no portion sizes) to assess the intake of “healthy” and “unhealthy” food and drink by 3 years old preschool children. The National Preschool Nutrition Survey (NPNS) provides the most accurate estimates available for dietary intake of young children in Ireland using a detailed 4 days weighed food diary. A mapping algorithm was applied using food name, cooking method, and food description to fill all GUI food groups with information from the NPNS food datafile which included the target variables, frequency, and amount. The augmented data were analyzed to examine all food groups described in NPNS and GUI and what proportion of foods were covered, non-covered, or partially-covered by GUI food groups, as a percentage of the total number of consumptions. The term non-covered indicated a specific food consumption that could not be mapped using a GUI food group. “High sugar” food items that were non-covered included ready-to-eat breakfast cereals, fruit juice, sugars, syrups, preserves and sweeteners, and ice-cream. The average proportion of consumption frequency and amount of foods not covered by GUI was 44 and 34%, respectively. Through mapping food codes in this manner, it was possible, using density plots, to visualize the relative performance of the brief dietary instrument (SFQ) compared to the more detailed food diary (FD). The SFQ did not capture a substantial portion of habitual foods consumed by 3-year olds in Ireland. Researchers interested in focussing on specific foods, could use this approach to assess the proportion of foods covered, non-covered, or partially-covered by reference to the mapped food database. These results can be used to improve SFQs for future studies and improve the capacity to identify diet-disease relationships.
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Affiliation(s)
- Michael Crowe
- Division of Restorative Dentistry and Periodontology, Dublin Dental University Hospital, Trinity College Dublin, Dublin, Ireland
| | - Michael O'Sullivan
- Division of Restorative Dentistry and Periodontology, Dublin Dental University Hospital, Trinity College Dublin, Dublin, Ireland
| | - Breige A McNulty
- UCD School of Agriculture and Food Science, UCD Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Oscar Cassetti
- Division of Restorative Dentistry and Periodontology, Dublin Dental University Hospital, Trinity College Dublin, Dublin, Ireland
| | - Aifric O'Sullivan
- UCD School of Agriculture and Food Science, UCD Institute of Food and Health, University College Dublin, Dublin, Ireland
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Zhou B, Bentham J, Di Cesare M, Bixby H, Danaei G, Hajifathalian K, Taddei C, Carrillo-Larco RM, Djalalinia S, Khatibzadeh S, Lugero C, Peykari N, Zhang WZ, Bennett J, Bilano V, Stevens GA, Cowan MJ, Riley LM, Chen Z, Hambleton IR, Jackson RT, Kengne AP, Khang YH, Laxmaiah A, Liu J, Malekzadeh R, Neuhauser HK, Sorić M, Starc G, Sundström J, Woodward M, Ezzati M, Abarca-Gómez L, Abdeen ZA, Abu-Rmeileh NM, Acosta-Cazares B, Adams RJ, Aekplakorn W, Afsana K, Aguilar-Salinas CA, Agyemang C, Ahmad NA, Ahmadvand A, Ahrens W, Ajlouni K, Akhtaeva N, Al-Raddadi R, Ali MM, Ali O, Alkerwi A, Aly E, Amarapurkar DN, Amouyel P, Amuzu A, Andersen LB, Anderssen SA, Ängquist LH, Anjana RM, Ansong D, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arlappa N, Arveiler D, Aryal KK, Aspelund T, Assah FK, Assunção MCF, Avdicová M, Azevedo A, Azizi F, Babu BV, Bahijri S, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Barbagallo CM, Barceló A, Barkat A, Barros AJD, Barros MV, Bata I, Batieha AM, Batyrbek A, Baur LA, Beaglehole R, Romdhane HB, Benet M, Benson LS, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bhagyalaxmi A, Bharadwaj S, Bhargava SK, Bi Y, Bikbov M, Bista B, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Blokstra A, Bo S, Bobak M, Boeing H, Boggia JG, Boissonnet CP, Bongard V, Borchini R, Bovet P, Braeckman L, Brajkovich I, Branca F, Breckenkamp J, Brenner H, Brewster LM, Bruno G, Bueno-de-Mesquita HB, Bugge A, Burns C, Bursztyn M, de León AC, Cacciottolo J, Cai H, Cameron C, Can G, Cândido APC, Capuano V, Cardoso VC, Carlsson AC, Carvalho MJ, Casanueva FF, Casas JP, Caserta CA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Dekkaki IC, Chetrit A, Chiolero A, Chiou ST, Chirita-Emandi A, Chirlaque MD, Cho B, Cho Y, Christofaro DG, Chudek J, Cifkova R, Cinteza E, Claessens F, Clays E, Concin H, Cooper C, Cooper R, Coppinger TC, Costanzo S, Cottel D, Cowell C, Craig CL, Crujeiras AB, Cruz JJ, D'Arrigo G, d'Orsi E, Dallongeville J, Damasceno A, Danaei G, Dankner R, Dantoft TM, Dauchet L, Davletov K, De Backer G, De Bacquer D, de Gaetano G, De Henauw S, de Oliveira PD, De Smedt D, Deepa M, Dehghan A, Delisle H, Deschamps V, Dhana K, Di Castelnuovo AF, Dias-da-Costa JS, Diaz A, Dickerson TT, Djalalinia S, Do HTP, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Doua K, Drygas W, Dulskiene V, Džakula A, Dzerve V, Dziankowska-Zaborszczyk E, Eggertsen R, Ekelund U, El Ati J, Elliott P, Elosua R, Erasmus RT, Erem C, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Evans A, Faeh D, Fall CH, Farzadfar F, Felix-Redondo FJ, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrari M, Ferreccio C, Ferrieres J, Finn JD, Fischer K, Föger B, Foo LH, Forslund AS, Forsner M, Fouad HM, Francis DK, do Carmo Franco M, Franco OH, Frontera G, Fuchs FD, Fuchs SC, Fujita Y, Furusawa T, Gaciong Z, Galvano F, Garcia-de-la-Hera M, Gareta D, Garnett SP, Gaspoz JM, Gasull M, Gates L, Geleijnse JM, Ghasemian A, Ghimire A, Giampaoli S, Gianfagna F, Gill TK, Giovannelli J, Goldsmith RA, Gonçalves H, Gonzalez-Gross M, González-Rivas JP, Gorbea MB, Gottrand F, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grøntved A, Grosso G, Gruden G, Grujic V, Gu D, Guan OP, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter M, Gupta PC, Gupta R, Gureje O, Gurzkowska B, Gutierrez L, Gutzwiller F, Hadaegh F, Halkjær J, Hambleton IR, Hardy R, Hari Kumar R, Hata J, Hayes AJ, He J, He Y, Elisabeth M, Henriques A, Cadena LH, Herrala S, Heshmat R, Hihtaniemi IT, Ho SY, Ho SC, Hobbs M, Hofman A, Dinc GH, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Than Htike MM, Hu Y, Huerta JM, Huisman M, Husseini AS, Huybrechts I, Hwalla N, Iacoviello L, Iannone AG, Ibrahim MM, Wong NI, Ikeda N, Ikram MA, Irazola VE, Islam M, al-Safi Ismail A, Ivkovic V, Iwasaki M, Jackson RT, Jacobs JM, Jaddou H, Jafar T, Jamrozik K, Janszky I, Jasienska G, Jelaković A, Jelaković B, Jennings G, Jeong SL, Jiang CQ, Joffres M, Johansson M, Jokelainen JJ, Jonas JB, Jørgensen T, Joshi P, Jóźwiak J, Juolevi A, Jurak G, Jureša V, Kaaks R, Kafatos A, Kajantie EO, Kalter-Leibovici O, Kamaruddin NA, Karki KB, Kasaeian A, Katz J, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva G, Keil U, Boker LK, Keinänen-Kiukaanniemi S, Kelishadi R, Kemper HCG, Kengne AP, Kerimkulova A, Kersting M, Key T, Khader YS, Khalili D, Khang YH, Khateeb M, Khaw KT, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim J, Kim YY, Klumbiene J, Knoflach M, Kolle E, Kolsteren P, Korrovits P, Koskinen S, Kouda K, Kowlessur S, Koziel S, Kriemler S, Kristensen PL, Krokstad S, Kromhout D, Kruger HS, Kubinova R, Kuciene R, Kuh D, Kujala UM, Kulaga Z, Krishna Kumar R, Kurjata P, Kusuma YS, Kuulasmaa K, Kyobutungi C, Laatikainen T, Lachat C, Lam TH, Landrove O, Lanska V, Lappas G, Larijani B, Laugsand LE, Laxmaiah A, Le Nguyen Bao K, Le TD, Leclercq C, Lee J, Lee J, Lehtimäki T, León-Muñoz LM, Levitt NS, Li Y, Lilly CL, Lim WY, Lima-Costa MF, Lin HH, Lin X, Lind L, Linneberg A, Lissner L, Litwin M, Liu J, Lorbeer R, Lotufo PA, Lozano JE, Luksiene D, Lundqvist A, Lunet N, Lytsy P, Ma G, Ma J, Machado-Coelho GLL, Machi S, Maggi S, Magliano DJ, Magriplis E, Majer M, Makdisse M, Malekzadeh R, Malhotra R, Mallikharjuna Rao K, Malyutina S, Manios Y, Mann JI, Manzato E, Margozzini P, Marques-Vidal P, Marques LP, Marrugat J, Martorell R, Mathiesen EB, Matijasevich A, Matsha TE, Mbanya JCN, Mc Donald Posso AJ, McFarlane SR, McGarvey ST, McLachlan S, McLean RM, McLean SB, McNulty BA, Mediene-Benchekor S, Medzioniene J, Meirhaeghe A, Meisinger C, Menezes AMB, Menon GR, Meshram II, Metspalu A, Meyer HE, Mi J, Mikkel K, Miller JC, Minderico CS, Francisco J, Miranda JJ, Mirrakhimov E, Mišigoj-Durakovic M, Modesti PA, Mohamed MK, Mohammad K, Mohammadifard N, Mohan V, Mohanna S, Mohd Yusoff MF, Møllehave LT, Møller NC, Molnár D, Momenan A, Mondo CK, Monyeki KDK, Moon JS, Moreira LB, Morejon A, Moreno LA, Morgan K, Moschonis G, Mossakowska M, Mostafa A, Mota J, Esmaeel Motlagh M, Motta J, Msyamboza KP, Mu TT, Muiesan ML, Müller-Nurasyid M, Murphy N, Mursu J, Musil V, Nabipour I, Nagel G, Naidu BM, Nakamura H, Námešná J, Nang EEK, Nangia VB, Narake S, Nauck M, Navarrete-Muñoz EM, Ndiaye NC, Neal WA, Nenko I, Neovius M, Nervi F, Neuhauser HK, Nguyen CT, Nguyen ND, Nguyen QN, Nguyen QV, Nieto-Martínez RE, Niiranen TJ, Ning G, Ninomiya T, Nishtar S, Noale M, Noboa OA, Noorbala AA, Norat T, Noto D, Al Nsour M, O'Reilly D, Oda E, Oehlers G, Oh K, Ohara K, Olinto MTA, Oliveira IO, Omar MA, Onat A, Ong SK, Ono LM, Ordunez P, Ornelas R, Osmond C, Ostojic SM, Ostovar A, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Padez C, Pahomova E, Pajak A, Palli D, Palmieri L, Pan WH, Panda-Jonas S, Panza F, Papandreou D, Park SW, Parnell WR, Parsaeian M, Patel ND, Pecin I, Pednekar MS, Peer N, Peeters PH, Peixoto SV, Peltonen M, Pereira AC, Peters A, Petersmann A, Petkeviciene J, Peykari N, Pham ST, Pigeot I, Pikhart H, Pilav A, Pilotto L, Pitakaka F, Piwonska A, Plans-Rubió P, Polašek O, Porta M, Portegies MLP, Pourshams A, Poustchi H, Pradeepa R, Prashant M, Price JF, Puder JJ, Puiu M, Punab M, Qasrawi RF, Qorbani M, Bao TQ, Radic I, Radisauskas R, Rahman M, Raitakari O, Raj M, Ramachandra Rao S, Ramachandran A, Ramos E, Rampal L, Rampal S, Rangel Reina DA, Redon J, Reganit PFM, Ribeiro R, Riboli E, Rigo F, Rinke de Wit TF, Ritti-Dias RM, Robinson SM, Robitaille C, Rodríguez-Artalejo F, del Cristo Rodriguez-Perez M, Rodríguez-Villamizar LA, Rojas-Martinez R, Romaguera D, Ronkainen K, Rosengren A, Roy JGR, Rubinstein A, Sandra Ruiz-Betancourt B, Rutkowski M, Sabanayagam C, Sachdev HS, Saidi O, Sakarya S, Salanave B, Salazar Martinez E, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sans S, Santos DA, Santos IS, Nunes dos Santos R, Santos R, Saramies JL, Sardinha LB, Sarganas G, Sarrafzadegan N, Saum KU, Savva S, Scazufca M, Schargrodsky H, Schipf S, Schmidt CO, Schöttker B, Schultsz C, Schutte AE, Sein AA, Sen A, Senbanjo IO, Sepanlou SG, Sharma SK, Shaw JE, Shibuya K, Shin DW, Shin Y, Si-Ramlee K, Siantar R, Sibai AM, Santos Silva DA, Simon M, Simons J, Simons LA, Sjöström M, Skovbjerg S, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Smith MC, Snijder MB, So HK, Sobngwi E, Söderberg S, Solfrizzi V, Sonestedt E, Song Y, Sørensen TIA, Soric M, Jérome CS, Soumare A, Staessen JA, Starc G, Stathopoulou MG, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stieber J, Stöckl D, Stocks T, Stokwiszewski J, Stronks K, Strufaldi MW, Sun CA, Sundström J, Sung YT, Suriyawongpaisal P, Sy RG, Shyong Tai E, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanser F, Tao Y, Tarawneh MR, Tarqui-Mamani CB, Tautu OF, Taylor A, Theobald H, Theodoridis X, Thijs L, Thuesen BH, Tjonneland A, Tolonen HK, Tolstrup JS, Topbas M, Topór-Madry R, Tormo MJ, Torrent M, Traissac P, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tshepo L, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Turley ML, Tynelius P, Tzourio C, Ueda P, Ugel EE, Ulmer H, Uusitalo HMT, Valdivia G, Valvi D, van der Schouw YT, Van Herck K, Van Minh H, van Rossem L, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Vatten L, Vega T, Velasquez-Melendez G, Veronesi G, Monique Verschuren WM, Verstraeten R, Victora CG, Viet L, Viikari-Juntura E, Vineis P, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Voutilainen S, Wade AN, Wagner A, Walton J, Wan Bebakar WM, Wan Mohamud WN, Wanderley RS, Wang MD, Wang Q, Wang YX, Wang YW, Wannamethee SG, Wareham N, Wedderkopp N, Weerasekera D, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wijga AH, Wilks RJ, Willeit J, Willeit P, Williams EA, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong JYY, Wong TY, Woo J, Woodward M, Giwercman Wu A, Wu FC, Wu S, Xu H, Yan W, Yang X, Ye X, Yiallouros PK, Yoshihara A, Younger-Coleman NO, Yusoff AF, Zainuddin AA, Zambon S, Zampelas A, Zdrojewski T, Zeng Y, Zhao D, Zhao W, Zheng W, Zheng Y, Zhu D, Zhussupov B, Zimmermann E, Cisneros JZ. Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: a pooled analysis of 1018 population-based measurement studies with 88.6 million participants. Int J Epidemiol 2018; 47:872-883i. [PMID: 29579276 PMCID: PMC6005056 DOI: 10.1093/ije/dyy016] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 01/16/2018] [Accepted: 01/24/2018] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Change in the prevalence of raised blood pressure could be due to both shifts in the entire distribution of blood pressure (representing the combined effects of public health interventions and secular trends) and changes in its high-blood-pressure tail (representing successful clinical interventions to control blood pressure in the hypertensive population). Our aim was to quantify the contributions of these two phenomena to the worldwide trends in the prevalence of raised blood pressure. METHODS We pooled 1018 population-based studies with blood pressure measurements on 88.6 million participants from 1985 to 2016. We first calculated mean systolic blood pressure (SBP), mean diastolic blood pressure (DBP) and prevalence of raised blood pressure by sex and 10-year age group from 20-29 years to 70-79 years in each study, taking into account complex survey design and survey sample weights, where relevant. We used a linear mixed effect model to quantify the association between (probit-transformed) prevalence of raised blood pressure and age-group- and sex-specific mean blood pressure. We calculated the contributions of change in mean SBP and DBP, and of change in the prevalence-mean association, to the change in prevalence of raised blood pressure. RESULTS In 2005-16, at the same level of population mean SBP and DBP, men and women in South Asia and in Central Asia, the Middle East and North Africa would have the highest prevalence of raised blood pressure, and men and women in the high-income Asia Pacific and high-income Western regions would have the lowest. In most region-sex-age groups where the prevalence of raised blood pressure declined, one half or more of the decline was due to the decline in mean blood pressure. Where prevalence of raised blood pressure has increased, the change was entirely driven by increasing mean blood pressure, offset partly by the change in the prevalence-mean association. CONCLUSIONS Change in mean blood pressure is the main driver of the worldwide change in the prevalence of raised blood pressure, but change in the high-blood-pressure tail of the distribution has also contributed to the change in prevalence, especially in older age groups.
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Caffrey A, Irwin RE, McNulty H, Strain JJ, Lees-Murdock DJ, McNulty BA, Ward M, Walsh CP, Pentieva K. Gene-specific DNA methylation in newborns in response to folic acid supplementation during the second and third trimesters of pregnancy: epigenetic analysis from a randomized controlled trial. Am J Clin Nutr 2018; 107:566-575. [PMID: 29635492 DOI: 10.1093/ajcn/nqx069] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Accepted: 12/08/2017] [Indexed: 12/21/2022] Open
Abstract
Background Emerging evidence suggests that maternal folate status can impact cognitive development in childhood. Folate-dependent DNA methylation may provide a biological mechanism to link folate status during pregnancy with cognition in the offspring. Objective The objective was to investigate the effect of continued folic acid (FA) supplementation beyond the first trimester of pregnancy on DNA methylation in cord blood of epigenetically controlled genes related to brain development and function. Design Using available cord blood samples (n = 86) from the Folic Acid Supplementation in the Second and Third Trimesters (FASSTT) trial in pregnancy, we applied pyrosequencing techniques to analyze cord blood DNA at 9 candidate loci known to be regulated by methylation, including some previously implicated in observational studies: the widely dispersed retrotransposon long interspersed nuclear element-1 (LINE-1) and 8 single-copy loci (RBM46, PEG3, IGF2, GRB10, BDNF, GRIN3B, OPCML, and APC2). Results The newborns of mothers who received ongoing FA (400 µg/d) through the second and third trimesters, compared with placebo, had significantly lower overall DNA methylation levels at LINE-1 (56.3% ± 1.7% compared with 57.2% ± 2.1%; P = 0.024), IFG2 (48.9% ± 4.4% compared with 51.2% ± 5.1%; P = 0.021), and BDNF (2.7% ± 0.7% compared with 3.1% ± 0.8%; P = 0.003). The effect of FA treatment on DNA methylation was significant only in female offspring for IGF2 (P = 0.028) and only in males for BDNF (P = 0.012). For GRB10 and GRIN3B, we detected no effect on overall methylation; however, individual cytosine-phosphate-guanine sites showed significant DNA methylation changes in response to FA. Conclusions Continued supplementation with FA through trimesters 2 and 3 of pregnancy results in significant changes in DNA methylation in cord blood of genes related to brain development. The findings offer a potential biological mechanism linking maternal folate status with neurodevelopment of the offspring, but this requires further investigation using a genome-wide approach. This trial was registered at www.isrctn.com as ISRCTN19917787.
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Affiliation(s)
- Aoife Caffrey
- Nutrition Innovation Centre for Food and Health and Genomic Medicine Group, School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, United Kingdom
| | - Rachelle E Irwin
- Genomic Medicine Group, School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, United Kingdom
| | - Helene McNulty
- Nutrition Innovation Centre for Food and Health and Genomic Medicine Group, School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, United Kingdom
| | - J J Strain
- Nutrition Innovation Centre for Food and Health and Genomic Medicine Group, School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, United Kingdom
| | - Diane J Lees-Murdock
- Genomic Medicine Group, School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, United Kingdom
| | - Breige A McNulty
- School of Agriculture & Food Science, University College Dublin, Dublin, Ireland
| | - Mary Ward
- Nutrition Innovation Centre for Food and Health and Genomic Medicine Group, School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, United Kingdom
| | - Colum P Walsh
- Genomic Medicine Group, School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, United Kingdom
| | - Kristina Pentieva
- Nutrition Innovation Centre for Food and Health and Genomic Medicine Group, School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, United Kingdom
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Li K, Brennan L, Bloomfield JF, Duff DJ, McNulty BA, Flynn A, Walton J, Gibney MJ, Nugent AP. Adiposity Associated Plasma Linoleic Acid is Related to Demographic, Metabolic Health and Haplotypes of FADS1/2 Genes in Irish Adults. Mol Nutr Food Res 2018; 62:e1700785. [DOI: 10.1002/mnfr.201700785] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2017] [Revised: 12/04/2017] [Indexed: 01/04/2023]
Affiliation(s)
- Kaifeng Li
- Institute of Food and Health; School of Agriculture and Food Science; University College Dublin (UCD); Belfield Republic of Ireland
| | - Lorraine Brennan
- Institute of Food and Health; School of Agriculture and Food Science; University College Dublin (UCD); Belfield Republic of Ireland
| | | | - Dan J. Duff
- Chemical Analysis Laboratories; Sandycove Republic of Ireland
| | - Breige A. McNulty
- Institute of Food and Health; School of Agriculture and Food Science; University College Dublin (UCD); Belfield Republic of Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences; University College Cork; Cork Republic of Ireland
| | - Janette Walton
- School of Food and Nutritional Sciences; University College Cork; Cork Republic of Ireland
- School of Biological Sciences; Cork Institute of Technology; Cork Republic of Ireland
| | - Michael J. Gibney
- Institute of Food and Health; School of Agriculture and Food Science; University College Dublin (UCD); Belfield Republic of Ireland
| | - Anne P. Nugent
- Institute of Food and Health; School of Agriculture and Food Science; University College Dublin (UCD); Belfield Republic of Ireland
- School of Biological Sciences; Institute for Global Food Security; Queens University; Belfast Northern Ireland
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O'Donovan CB, Devlin NF, Buffini M, Walton J, Flynn A, Gibney MJ, Nugent AP, McNulty BA. Whole grain intakes in Irish adults: findings from the National Adults Nutrition Survey (NANS). Eur J Nutr 2018; 58:541-550. [PMID: 29353315 DOI: 10.1007/s00394-018-1615-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 01/08/2018] [Indexed: 01/27/2023]
Abstract
PURPOSE Observational studies link high whole grain intakes to reduced risk of many chronic diseases. This study quantified whole grain intakes in the Irish adult population and examined the major contributing sources. It also investigated potential dietary strategies to improve whole grain intakes. METHODS Whole grain intakes were calculated in a nationally representative sample of 1500 Irish adults using data from the most recent national food survey, the National Adult Nutrition Survey (NANS). Food consumption was assessed, at brand level where possible, using a 4-day semi-weighed food diary with whole grain content estimated from labels on a dry matter basis. RESULTS Mean daily whole grain intakes were 27.8 ± 29.4 g/day, with only 19% of the population meeting the quantity-specific recommendation of 48 g per day. Wheat was the highest contributor to whole grain intake at 66%, followed by oats at 26%. High whole grain intakes were associated with higher dietary intakes of fibre, magnesium, potassium, phosphorus, and a higher alternative Mediterranean Diet Score. Whole grain foods were most frequently eaten at breakfast time. Regression analysis revealed that consumption of an additional 10 g of whole grain containing 'ready-to-eat breakfast cereals', 'rice or pastas', or 'breads' each day would increase intake of whole grains by an extra 5, 3.5, and 2.7 g, respectively. CONCLUSIONS This study reveals low intakes of whole grains in Irish adults. Recommending cereals, breads, and grains with higher whole grain content as part of public health campaigns could improve whole grain intakes.
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Affiliation(s)
- Clare B O'Donovan
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Dublin 4, Ireland
| | - Niamh F Devlin
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Dublin 4, Ireland
| | - Maria Buffini
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Dublin 4, Ireland
| | - Janette Walton
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland.,Department of Biological Sciences, Cork Institute of Technology, Cork, Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Michael J Gibney
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Dublin 4, Ireland
| | - Anne P Nugent
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Dublin 4, Ireland. .,Department of Biological Sciences, Institute for Global Food Security, Queens University Belfast, Belfast, Ireland.
| | - Breige A McNulty
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Dublin 4, Ireland
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Buffini M, Goscinny S, Van Loco J, Nugent AP, Walton J, Flynn A, Gibney MJ, McNulty BA. Dietary intakes of six intense sweeteners by Irish adults. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2017; 35:425-438. [PMID: 29210609 DOI: 10.1080/19440049.2017.1411619] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
This research investigated the intakes of six intense sweeteners: acesulfame-K (E950), aspartame (E951), cyclamate (E952), saccharin (E954), sucralose (E955), and steviol glycosides (E960) in the diets of Irish adults, using data from the National Adult Nutrition Survey. A food label survey that included products currently available on the Irish market supplemented the analysis. Sweetener intakes were investigated using three different exposure scenarios; beginning with a crude assessment which assumed that all foods permitted to contain the additives of interest always did contain them, and at their maximum permitted level (Tier 1). Refined assessments estimated intakes of the six sweeteners using food consumption data up to brand level with additive occurrence data from a survey of products currently available on the Irish market (Tier 2) and sweetener concentration data (Tier 3). Results of all exposure assessment scenarios demonstrate that intakes of each of the sweeteners of interest by the total population were below the relevant ADI level (mg kg-1 bodyweight-1), even by high consumers (P99). The three sweeteners consumed in highest amounts were acesulfame-k, aspartame, and sucralose. The main sources of these sweeteners in the diet were 'cider and perry', 'energy reduced and no added sugar (ER and NAS) carbonated flavoured drinks', 'table-top sweeteners', 'dairy products', 'solid food supplements', and 'sauces'. Intakes of the six intense sweeteners are currently not a concern among Irish adults. However, exposure to these chemicals should be monitored on a regular basis due to evolving market and consumption patterns.
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Affiliation(s)
- Maria Buffini
- a School of Agriculture and Food Science , University College Dublin, UCD Institute of Food and Health , Belfield , Ireland
| | - Séverine Goscinny
- b Belgian Scientific Institute of Public Health, Department of Food , Medicines and Consumer Safety, Service of Consumer Safety, Scientific Institute of Public Health , Brussels , Belgium
| | - Joris Van Loco
- b Belgian Scientific Institute of Public Health, Department of Food , Medicines and Consumer Safety, Service of Consumer Safety, Scientific Institute of Public Health , Brussels , Belgium
| | - Anne P Nugent
- a School of Agriculture and Food Science , University College Dublin, UCD Institute of Food and Health , Belfield , Ireland
| | - Janette Walton
- c School of Food and Nutritional Sciences , University College Cork , Cork , Ireland
| | - Albert Flynn
- c School of Food and Nutritional Sciences , University College Cork , Cork , Ireland
| | - Michael J Gibney
- a School of Agriculture and Food Science , University College Dublin, UCD Institute of Food and Health , Belfield , Ireland
| | - Breige A McNulty
- a School of Agriculture and Food Science , University College Dublin, UCD Institute of Food and Health , Belfield , Ireland
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Abarca-Gómez L, Abdeen ZA, Hamid ZA, Abu-Rmeileh NM, Acosta-Cazares B, Acuin C, Adams RJ, Aekplakorn W, Afsana K, Aguilar-Salinas CA, Agyemang C, Ahmadvand A, Ahrens W, Ajlouni K, Akhtaeva N, Al-Hazzaa HM, Al-Othman AR, Al-Raddadi R, Al Buhairan F, Al Dhukair S, Ali MM, Ali O, Alkerwi A, Alvarez-Pedrerol M, Aly E, Amarapurkar DN, Amouyel P, Amuzu A, Andersen LB, Anderssen SA, Andrade DS, Ängquist LH, Anjana RM, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arlappa N, Arveiler D, Aryal KK, Aspelund T, Assah FK, Assunção MCF, Aung MS, Avdicová M, Azevedo A, Azizi F, Babu BV, Bahijri S, Baker JL, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Barbagallo CM, Barceló A, Barkat A, Barros AJD, Barros MVG, Bata I, Batieha AM, Batista RL, Batyrbek A, Baur LA, Beaglehole R, Romdhane HB, Benedics J, Benet M, Bennett JE, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bhagyalaxmi A, Bharadwaj S, Bhargava SK, Bhatti Z, Bhutta ZA, Bi H, Bi Y, Biehl A, Bikbov M, Bista B, Bjelica DJ, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Blokstra A, Bo S, Bobak M, Boddy LM, Boehm BO, Boeing H, Boggia JG, Boissonnet CP, Bonaccio M, Bongard V, Bovet P, Braeckevelt L, Braeckman L, Bragt MCE, Brajkovich I, Branca F, Breckenkamp J, Breda J, Brenner H, Brewster LM, Brian GR, Brinduse L, Bruno G, Bueno-de-Mesquita HB, Bugge A, Buoncristiano M, Burazeri G, Burns C, de León AC, Cacciottolo J, Cai H, Cama T, Cameron C, Camolas J, Can G, Cândido APC, Capanzana M, Capuano V, Cardoso VC, Carlsson AC, Carvalho MJ, Casanueva FF, Casas JP, Caserta CA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Chetrit A, Chikova-Iscener E, Chiolero A, Chiou ST, Chirita-Emandi A, Chirlaque MD, Cho B, Cho Y, Christensen K, Christofaro DG, Chudek J, Cifkova R, Cinteza E, Claessens F, Clays E, Concin H, Confortin SC, Cooper C, Cooper R, Coppinger TC, Costanzo S, Cottel D, Cowell C, Craig CL, Crujeiras AB, Cucu A, D'Arrigo G, d'Orsi E, Dallongeville J, Damasceno A, Damsgaard CT, Danaei G, Dankner R, Dantoft TM, Dastgiri S, Dauchet L, Davletov K, De Backer G, De Bacquer D, De Curtis A, de Gaetano G, De Henauw S, de Oliveira PD, De Ridder K, De Smedt D, Deepa M, Deev AD, Dehghan A, Delisle H, Delpeuch F, Deschamps V, Dhana K, Di Castelnuovo AF, Dias-da-Costa JS, Diaz A, Dika Z, Djalalinia S, Do HTP, Dobson AJ, Donati MB, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Dorosty AR, Doua K, Drygas W, Duan JL, Duante C, Duleva V, Dulskiene V, Dzerve V, Dziankowska-Zaborszczyk E, Egbagbe EE, Eggertsen R, Eiben G, Ekelund U, El Ati J, Elliott P, Engle-Stone R, Erasmus RT, Erem C, Eriksen L, Eriksson JG, la Peña JED, Evans A, Faeh D, Fall CH, Sant'Angelo VF, Farzadfar F, Felix-Redondo FJ, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrari M, Ferreccio C, Ferrieres J, Finn JD, Fischer K, Flores EM, Föger B, Foo LH, Forslund AS, Forsner M, Fouad HM, Francis DK, Franco MDC, Franco OH, Frontera G, Fuchs FD, Fuchs SC, Fujita Y, Furusawa T, Gaciong Z, Gafencu M, Galeone D, Galvano F, Garcia-de-la-Hera M, Gareta D, Garnett SP, Gaspoz JM, Gasull M, Gates L, Geiger H, Geleijnse JM, Ghasemian A, Giampaoli S, Gianfagna F, Gill TK, Giovannelli J, Giwercman A, Godos J, Gogen S, Goldsmith RA, Goltzman D, Gonçalves H, González-Leon M, González-Rivas JP, Gonzalez-Gross M, Gottrand F, Graça AP, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grøntved A, Grosso G, Gruden G, Grujic V, Gu D, Gualdi-Russo E, Guallar-Castillón P, Guan OP, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter M, Guo X, Guo Y, Gupta PC, Gupta R, Gureje O, Gurzkowska B, Gutierrez L, Gutzwiller F, Hadaegh F, Hadjigeorgiou CA, Si-Ramlee K, Halkjær J, Hambleton IR, Hardy R, Kumar RH, Hassapidou M, Hata J, Hayes AJ, He J, Heidinger-Felso R, Heinen M, Hendriks ME, Henriques A, Cadena LH, Herrala S, Herrera VM, Herter-Aeberli I, Heshmat R, Hihtaniemi IT, Ho SY, Ho SC, Hobbs M, Hofman A, Hopman WM, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Hu Y, Huerta JM, Petrescu CH, Huisman M, Husseini A, Huu CN, Huybrechts I, Hwalla N, Hyska J, Iacoviello L, Iannone AG, Ibarluzea JM, Ibrahim MM, Ikeda N, Ikram MA, Irazola VE, Islam M, Ismail AAS, Ivkovic V, Iwasaki M, Jackson RT, Jacobs JM, Jaddou H, Jafar T, Jamil KM, Jamrozik K, Janszky I, Jarani J, Jasienska G, Jelakovic A, Jelakovic B, Jennings G, Jeong SL, Jiang CQ, Jiménez-Acosta SM, Joffres M, Johansson M, Jonas JB, Jørgensen T, Joshi P, Jovic DP, Józwiak J, Juolevi A, Jurak G, Jureša V, Kaaks R, Kafatos A, Kajantie EO, Kalter-Leibovici O, Kamaruddin NA, Kapantais E, Karki KB, Kasaeian A, Katz J, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva G, Keil U, Boker LK, Keinänen-Kiukaanniemi S, Kelishadi R, Kelleher C, Kemper HCG, Kengne AP, Kerimkulova A, Kersting M, Key T, Khader YS, Khalili D, Khang YH, Khateeb M, Khaw KT, Khouw IMSL, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim J, Kim YY, Klimont J, Klumbiene J, Knoflach M, Koirala B, Kolle E, Kolsteren P, Korrovits P, Kos J, Koskinen S, Kouda K, Kovacs VA, Kowlessur S, Koziel S, Kratzer W, Kriemler S, Kristensen PL, Krokstad S, Kromhout D, Kruger HS, Kubinova R, Kuciene R, Kuh D, Kujala UM, Kulaga Z, Kumar RK, Kunešová M, Kurjata P, Kusuma YS, Kuulasmaa K, Kyobutungi C, La QN, Laamiri FZ, Laatikainen T, Lachat C, Laid Y, Lam TH, Landrove O, Lanska V, Lappas G, Larijani B, Laugsand LE, Lauria L, Laxmaiah A, Bao KLN, Le TD, Lebanan MAO, Leclercq C, Lee J, Lee J, Lehtimäki T, León-Muñoz LM, Levitt NS, Li Y, Lilly CL, Lim WY, Lima-Costa MF, Lin HH, Lin X, Lind L, Linneberg A, Lissner L, Litwin M, Liu J, Loit HM, Lopes L, Lorbeer R, Lotufo PA, Lozano JE, Luksiene D, Lundqvist A, Lunet N, Lytsy P, Ma G, Ma J, Machado-Coelho GLL, Machado-Rodrigues AM, Machi S, Maggi S, Magliano DJ, Magriplis E, Mahaletchumy A, Maire B, Majer M, Makdisse M, Malekzadeh R, Malhotra R, Rao KM, Malyutina S, Manios Y, Mann JI, Manzato E, Margozzini P, Markaki A, Markey O, Marques LP, Marques-Vidal P, Marrugat J, Martin-Prevel Y, Martin R, Martorell R, Martos E, Marventano S, Masoodi SR, Mathiesen EB, Matijasevich A, Matsha TE, Mazur A, Mbanya JCN, McFarlane SR, McGarvey ST, McKee M, McLachlan S, McLean RM, McLean SB, McNulty BA, Yusof SM, Mediene-Benchekor S, Medzioniene J, Meirhaeghe A, Meisfjord J, Meisinger C, Menezes AMB, Menon GR, Mensink GBM, Meshram II, Metspalu A, Meyer HE, Mi J, Michaelsen KF, Michels N, Mikkel K, Miller JC, Minderico CS, Miquel JF, Miranda JJ, Mirkopoulou D, Mirrakhimov E, Mišigoj-Durakovic M, Mistretta A, Mocanu V, Modesti PA, Mohamed MK, Mohammad K, Mohammadifard N, Mohan V, Mohanna S, Yusoff MFM, Molbo D, Møllehave LT, Møller NC, Molnár D, Momenan A, Mondo CK, Monterrubio EA, Monyeki KDK, Moon JS, Moreira LB, Morejon A, Moreno LA, Morgan K, Mortensen EL, Moschonis G, Mossakowska M, Mostafa A, Mota J, Mota-Pinto A, Motlagh ME, Motta J, Mu TT, Muc M, Muiesan ML, Müller-Nurasyid M, Murphy N, Mursu J, Murtagh EM, Musil V, Nabipour I, Nagel G, Naidu BM, Nakamura H, Námešná J, Nang EEK, Nangia VB, Nankap M, Narake S, Nardone P, Navarrete-Muñoz EM, Neal WA, Nenko I, Neovius M, Nervi F, Nguyen CT, Nguyen ND, Nguyen QN, Nieto-Martínez RE, Ning G, Ninomiya T, Nishtar S, Noale M, Noboa OA, Norat T, Norie S, Noto D, Nsour MA, O'Reilly D, Obreja G, Oda E, Oehlers G, Oh K, Ohara K, Olafsson Ö, Olinto MTA, Oliveira IO, Oltarzewski M, Omar MA, Onat A, Ong SK, Ono LM, Ordunez P, Ornelas R, Ortiz AP, Osler M, Osmond C, Ostojic SM, Ostovar A, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Padez C, Pahomova E, Pajak A, Palli D, Palloni A, Palmieri L, Pan WH, Panda-Jonas S, Pandey A, Panza F, Papandreou D, Park SW, Parnell WR, Parsaeian M, Pascanu IM, Patel ND, Pecin I, Pednekar MS, Peer N, Peeters PH, Peixoto SV, Peltonen M, Pereira AC, Perez-Farinos N, Pérez CM, Peters A, Petkeviciene J, Petrauskiene A, Peykari N, Pham ST, Pierannunzio D, Pigeot I, Pikhart H, Pilav A, Pilotto L, Pistelli F, Pitakaka F, Piwonska A, Plans-Rubió P, Poh BK, Pohlabeln H, Pop RM, Popovic SR, Porta M, Portegies MLP, Posch G, Poulimeneas D, Pouraram H, Pourshams A, Poustchi H, Pradeepa R, Prashant M, Price JF, Puder JJ, Pudule I, Puiu M, Punab M, Qasrawi RF, Qorbani M, Bao TQ, Radic I, Radisauskas R, Rahman M, Rahman M, Raitakari O, Raj M, Rao SR, Ramachandran A, Ramke J, Ramos E, Ramos R, Rampal L, Rampal S, Rascon-Pacheco RA, Redon J, Reganit PFM, Ribas-Barba L, Ribeiro R, Riboli E, Rigo F, de Wit TFR, Rito A, Ritti-Dias RM, Rivera JA, Robinson SM, Robitaille C, Rodrigues D, Rodríguez-Artalejo F, del Cristo Rodriguez-Perez M, Rodríguez-Villamizar LA, Rojas-Martinez R, Rojroongwasinkul N, Romaguera D, Ronkainen K, Rosengren A, Rouse I, Roy JGR, Rubinstein A, Rühli FJ, Ruiz-Betancourt BS, Russo P, Rutkowski M, Sabanayagam C, Sachdev HS, Saidi O, Salanave B, Martinez ES, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sandjaja, Sans S, Marina LS, Santos DA, Santos IS, Santos O, dos Santos RN, Santos R, Saramies JL, Sardinha LB, Sarrafzadegan N, Saum KU, Savva S, Savy M, Scazufca M, Rosario AS, Schargrodsky H, Schienkiewitz A, Schipf S, Schmidt CO, Schmidt IM, Schultsz C, Schutte AE, Sein AA, Sen A, Senbanjo IO, Sepanlou SG, Serra-Majem L, Shalnova SA, Sharma SK, Shaw JE, Shibuya K, Shin DW, Shin Y, Shiri R, Siani A, Siantar R, Sibai AM, Silva AM, Silva DAS, Simon M, Simons J, Simons LA, Sjöberg A, Sjöström M, Skovbjerg S, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Smith MC, Snijder MB, So HK, Sobngwi E, Söderberg S, Soekatri MYE, Solfrizzi V, Sonestedt E, Song Y, Sørensen TIA, Soric M, Jérome CS, Soumare A, Spinelli A, Spiroski I, Staessen JA, Stamm H, Starc G, Stathopoulou MG, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stieber J, Stöckl D, Stocks T, Stokwiszewski J, Stratton G, Stronks K, Strufaldi MW, Suárez-Medina R, Sun CA, Sundström J, Sung YT, Sunyer J, Suriyawongpaisal P, Swinburn BA, Sy RG, Szponar L, Tai ES, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanser F, Tao Y, Tarawneh MR, Tarp J, Tarqui-Mamani CB, Tautu OF, Braunerová RT, Taylor A, Tchibindat F, Theobald H, Theodoridis X, Thijs L, Thuesen BH, Tjonneland A, Tolonen HK, Tolstrup JS, Topbas M, Topór-Madry R, Tormo MJ, Tornaritis MJ, Torrent M, Toselli S, Traissac P, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tshepo L, Tsigga M, Tsugane S, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Turley ML, Tynelius P, Tzotzas T, Tzourio C, Ueda P, Ugel EE, Ukoli FAM, Ulmer H, Unal B, Uusitalo HMT, Valdivia G, Vale S, Valvi D, van der Schouw YT, Van Herck K, Van Minh H, van Rossem L, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Vatten L, Vega T, Veidebaum T, Velasquez-Melendez G, Velika B, Veronesi G, Verschuren WMM, Victora CG, Viegi G, Viet L, Viikari-Juntura E, Vineis P, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Völzke H, Voutilainen S, Vrijheid M, Wade AN, Wagner A, Waldhör T, Walton J, Bebakar WMW, Mohamud WNW, Wanderley RS, Wang MD, Wang Q, Wang YX, Wang YW, Wannamethee SG, Wareham N, Weber A, Wedderkopp N, Weerasekera D, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wijga AH, Wilks RJ, Willeit J, Willeit P, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong JYY, Wong JE, Wong TY, Woo J, Woodward M, Wu FC, Wu J, Wu S, Xu H, Xu L, Yamborisut U, Yan W, Yang X, Yardim N, Ye X, Yiallouros PK, Yngve A, Yoshihara A, You QS, Younger-Coleman NO, Yusoff F, Yusoff MFM, Zaccagni L, Zafiropulos V, Zainuddin AA, Zambon S, Zampelas A, Zamrazilová H, Zdrojewski T, Zeng Y, Zhao D, Zhao W, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zhussupov B, Zimmermann E, Cisneros JZ, Bentham J, Di Cesare M, Bilano V, Bixby H, Zhou B, Stevens GA, Riley LM, Taddei C, Hajifathalian K, Lu Y, Savin S, Cowan MJ, Paciorek CJ, Chirita-Emandi A, Hayes AJ, Katz J, Kelishadi R, Kengne AP, Khang YH, Laxmaiah A, Li Y, Ma J, Miranda JJ, Mostafa A, Neovius M, Padez C, Rampal L, Zhu A, Bennett JE, Danaei G, Bhutta ZA, Ezzati M. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Lancet 2017; 390:2627-2642. [PMID: 29029897 PMCID: PMC5735219 DOI: 10.1016/s0140-6736(17)32129-3] [Citation(s) in RCA: 3623] [Impact Index Per Article: 517.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Revised: 07/12/2017] [Accepted: 07/19/2017] [Indexed: 02/07/2023]
Abstract
BACKGROUND Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to estimate worldwide trends in mean body-mass index (BMI) and a comprehensive set of BMI categories that cover underweight to obesity in children and adolescents, and to compare trends with those of adults. METHODS We pooled 2416 population-based studies with measurements of height and weight on 128·9 million participants aged 5 years and older, including 31·5 million aged 5-19 years. We used a Bayesian hierarchical model to estimate trends from 1975 to 2016 in 200 countries for mean BMI and for prevalence of BMI in the following categories for children and adolescents aged 5-19 years: more than 2 SD below the median of the WHO growth reference for children and adolescents (referred to as moderate and severe underweight hereafter), 2 SD to more than 1 SD below the median (mild underweight), 1 SD below the median to 1 SD above the median (healthy weight), more than 1 SD to 2 SD above the median (overweight but not obese), and more than 2 SD above the median (obesity). FINDINGS Regional change in age-standardised mean BMI in girls from 1975 to 2016 ranged from virtually no change (-0·01 kg/m2 per decade; 95% credible interval -0·42 to 0·39, posterior probability [PP] of the observed decrease being a true decrease=0·5098) in eastern Europe to an increase of 1·00 kg/m2 per decade (0·69-1·35, PP>0·9999) in central Latin America and an increase of 0·95 kg/m2 per decade (0·64-1·25, PP>0·9999) in Polynesia and Micronesia. The range for boys was from a non-significant increase of 0·09 kg/m2 per decade (-0·33 to 0·49, PP=0·6926) in eastern Europe to an increase of 0·77 kg/m2 per decade (0·50-1·06, PP>0·9999) in Polynesia and Micronesia. Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls. By contrast, the rise in BMI has accelerated in east and south Asia for both sexes, and southeast Asia for boys. Global age-standardised prevalence of obesity increased from 0·7% (0·4-1·2) in 1975 to 5·6% (4·8-6·5) in 2016 in girls, and from 0·9% (0·5-1·3) in 1975 to 7·8% (6·7-9·1) in 2016 in boys; the prevalence of moderate and severe underweight decreased from 9·2% (6·0-12·9) in 1975 to 8·4% (6·8-10·1) in 2016 in girls and from 14·8% (10·4-19·5) in 1975 to 12·4% (10·3-14·5) in 2016 in boys. Prevalence of moderate and severe underweight was highest in India, at 22·7% (16·7-29·6) among girls and 30·7% (23·5-38·0) among boys. Prevalence of obesity was more than 30% in girls in Nauru, the Cook Islands, and Palau; and boys in the Cook Islands, Nauru, Palau, Niue, and American Samoa in 2016. Prevalence of obesity was about 20% or more in several countries in Polynesia and Micronesia, the Middle East and north Africa, the Caribbean, and the USA. In 2016, 75 (44-117) million girls and 117 (70-178) million boys worldwide were moderately or severely underweight. In the same year, 50 (24-89) million girls and 74 (39-125) million boys worldwide were obese. INTERPRETATION The rising trends in children's and adolescents' BMI have plateaued in many high-income countries, albeit at high levels, but have accelerated in parts of Asia, with trends no longer correlated with those of adults. FUNDING Wellcome Trust, AstraZeneca Young Health Programme.
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Yin X, Gibbons H, Rundle M, Frost G, McNulty BA, Nugent AP, Walton J, Flynn A, Gibney MJ, Brennan L. Estimation of Chicken Intake by Adults Using Metabolomics-Derived Markers. J Nutr 2017; 147:1850-1857. [PMID: 28794208 DOI: 10.3945/jn.117.252197] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Revised: 05/10/2017] [Accepted: 07/10/2017] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Improved assessment of meat intake with the use of metabolomics-derived markers can provide objective data and could be helpful in clarifying proposed associations between meat intake and health. OBJECTIVE The objective of this study was to identify novel markers of chicken intake using a metabolomics approach and use markers to determine intake in an independent cohort. METHODS Ten participants [age: 62 y; body mass index (in kg/m2): 28.25] in the NutriTech food intake study consumed increasing amounts of chicken, from 88 to 290 g/d, in a 3-wk span. Urine and blood samples were analyzed by nuclear magnetic resonance and mass spectrometry, respectively. A multivariate data analysis was performed to identify markers associated with chicken intake. A calibration curve was built based on dose-response association using NutriTech data. A Bland-Altman analysis evaluated the agreement between reported and calculated chicken intake in a National Adult Nutrition Survey cohort. RESULTS Multivariate data analysis of postprandial and fasting urine samples collected in participants in the NutriTech study revealed good discrimination between high (290 g/d) and low (88 g/d) chicken intakes. Urinary metabolite profiles showed differences in metabolite levels between low and high chicken intakes. Examining metabolite profiles revealed that guanidoacetate increased from 1.47 to 3.66 mmol/L following increasing chicken intakes from 88 to 290 g/d (P < 0.01). Using a calibration curve developed from the NutriTech study, chicken intake was calculated through the use of data from the National Adult Nutrition Survey, in which consumers of chicken had a higher guanidoacetate excretion (0.70 mmol/L) than did nonconsumers (0.47 mmol/L; P < 0.01). A Bland-Altman analysis revealed good agreement between reported and calculated intakes, with a bias of -30.2 g/d. Plasma metabolite analysis demonstrated that 3-methylhistidine was a more suitable indicator of chicken intake than 1-methylhistidine. CONCLUSIONS Guanidoacetate was successfully identified and confirmed as a marker of chicken intake, and its measurement in fasting urine samples could be used to determine chicken intake in a free-living population. This trial was registered at clinicaltrials.gov as NCT01684917.
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Affiliation(s)
- Xiaofei Yin
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Helena Gibbons
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Milena Rundle
- Faculty of Medicine, Department of Medicine, Imperial College London, London, United Kingdom
| | - Gary Frost
- Faculty of Medicine, Department of Medicine, Imperial College London, London, United Kingdom
| | - Breige A McNulty
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Anne P Nugent
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Janette Walton
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Michael J Gibney
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Lorraine Brennan
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin, Ireland
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Gibbons H, Carr E, McNulty BA, Nugent AP, Walton J, Flynn A, Gibney MJ, Brennan L. Metabolomic-based identification of clusters that reflect dietary patterns. Mol Nutr Food Res 2017; 61. [DOI: 10.1002/mnfr.201601050] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Revised: 05/24/2017] [Accepted: 05/30/2017] [Indexed: 11/10/2022]
Affiliation(s)
- Helena Gibbons
- Institute of Food and Health, UCD School of Agriculture and Food Science; University College Dublin; Dublin Republic of Ireland
| | - Eibhlin Carr
- Institute of Food and Health, UCD School of Agriculture and Food Science; University College Dublin; Dublin Republic of Ireland
| | - Breige A. McNulty
- Institute of Food and Health, UCD School of Agriculture and Food Science; University College Dublin; Dublin Republic of Ireland
| | - Anne P. Nugent
- Institute of Food and Health, UCD School of Agriculture and Food Science; University College Dublin; Dublin Republic of Ireland
| | - Janette Walton
- School of Food and Nutritional Sciences; University College Cork; Cork Republic of Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences; University College Cork; Cork Republic of Ireland
| | - Michael J. Gibney
- Institute of Food and Health, UCD School of Agriculture and Food Science; University College Dublin; Dublin Republic of Ireland
| | - Lorraine Brennan
- Institute of Food and Health, UCD School of Agriculture and Food Science; University College Dublin; Dublin Republic of Ireland
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Gibbons H, Michielsen CJR, Rundle M, Frost G, McNulty BA, Nugent AP, Walton J, Flynn A, Gibney MJ, Brennan L. Demonstration of the utility of biomarkers for dietary intake assessment; proline betaine as an example. Mol Nutr Food Res 2017; 61. [DOI: 10.1002/mnfr.201700037] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 05/08/2017] [Accepted: 05/16/2017] [Indexed: 01/03/2023]
Affiliation(s)
- Helena Gibbons
- School of Agriculture and Food Science; Institute of Food and Health; University College Dublin; Dublin Ireland
| | - Charlotte J. R. Michielsen
- School of Agriculture and Food Science; Institute of Food and Health; University College Dublin; Dublin Ireland
| | - Milena Rundle
- Nutrition and Dietetic Research Group; Division of Endocrinology and Metabolism; Imperial College London; London U.K
| | - Gary Frost
- Nutrition and Dietetic Research Group; Division of Endocrinology and Metabolism; Imperial College London; London U.K
| | - Breige A. McNulty
- School of Agriculture and Food Science; Institute of Food and Health; University College Dublin; Dublin Ireland
| | - Anne P. Nugent
- School of Agriculture and Food Science; Institute of Food and Health; University College Dublin; Dublin Ireland
| | - Janette Walton
- School of Food and Nutritional Sciences; University College Cork; Cork Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences; University College Cork; Cork Ireland
| | - Michael J. Gibney
- School of Agriculture and Food Science; Institute of Food and Health; University College Dublin; Dublin Ireland
| | - Lorraine Brennan
- School of Agriculture and Food Science; Institute of Food and Health; University College Dublin; Dublin Ireland
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Kehoe L, Walton J, McNulty BA, Nugent AP, Flynn A. Dietary strategies for achieving adequate vitamin D and iron intakes in young children in Ireland. J Hum Nutr Diet 2016; 30:405-416. [PMID: 27990698 DOI: 10.1111/jhn.12449] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Inadequate intakes of vitamin D and iron have been reported in young children in Ireland. The present study aimed to identify the main foods determining vitamin D and iron intakes and to model the impact of dietary strategies to improve adequacy of these micronutrients in young children. METHODS The present study is based on the Irish National Pre-School Nutrition Survey (NPNS), which estimated food and nutrient intakes in a representative sample (n = 500) of children (aged 1-4 years) using a 4-day weighed food record. Dietary strategies were modelled using DaDiet© software (Dazult Ltd, Co. Kildare, Republic of Ireland) and the usual intake distribution, prevalence of inadequate intakes and risk of excessive intakes were estimated using the National Cancer Institute method. RESULTS Fortified foods and nutritional supplements were the key foods influencing the intakes of vitamin D and iron. Adding a 5 μg day-1 vitamin D supplement, fortifying cow's milk (CM) with vitamin D or replacing CM with growing-up milk (GUM) would modestly increase intakes of vitamin D. A combined strategy of fortifying CM with vitamin D or replacing CM with GUM plus a 5 μg day-1 vitamin D supplement would increase mean intakes of vitamin D (from 3.5 μg day-1 at baseline to ≥11 μg day-1 ) and substantially reduce the prevalence of inadequate intakes (from >95% to 12-36%). Fortifying CM with iron or replacing CM with GUM would increase mean intakes of iron (from 7.3 mg day-1 to >10 mg day-1 ), achieving adequate intakes across all ages. CONCLUSIONS Based on real food consumption data in a representative sample of Irish children, we have shown that through targeted dietary strategies adequate intakes of iron are achievable and intakes of vitamin D could be greatly improved.
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Affiliation(s)
- L Kehoe
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - J Walton
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - B A McNulty
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland
| | - A P Nugent
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland
| | - A Flynn
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
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Hayes A, Hennessy Á, Walton J, McNulty BA, Lucey AJ, Kiely M, Flynn A, Cashman KD. Phylloquinone Intakes and Food Sources and Vitamin K Status in a Nationally Representative Sample of Irish Adults. J Nutr 2016; 146:2274-2280. [PMID: 27733530 DOI: 10.3945/jn.116.239137] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Accepted: 09/12/2016] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Data from a nationally representative sample of 18- to 64-y-old Irish adults conducted in 1999 highlighted low phylloquinone intakes. That survey, however, did not include older adults (aged ≥65 y), a subgroup that is potentially at higher risk of low phylloquinone intakes, or a biomarker of vitamin K status. OBJECTIVES The objectives of this work were to measure the phylloquinone intake and its adequacy and the serum percentage of undercarboxylated osteocalcin (%ucOC), a vitamin K status biomarker, in a nationally representative sample of Irish adults aged 18-90 y, and to compare these newer data on dietary phylloquinone in adults aged 18-64 y with those from the previous survey. METHODS Data and biobanked serum samples from the National Adult Nutrition Survey, a randomly selected sample of Irish adults aged 18-90 y (N = 1500), were accessed. Phylloquinone intakes were estimated from 4-d food diary data and were compared across age groups (18-35, 36-50, 51-64, and ≥65 y). Serum %ucOC was assessed by immunoassay (n = 692). RESULTS The mean ± SD intake of phylloquinone from all sources was 85.2 ± 59.1 μg/d, 99% of which was derived from food. Phylloquinone intakes and serum %ucOC were significantly (P < 0.05) lower (14-25%) and higher (27-39%), respectively, in the 18- to 35-y age group than in the 36- to 50-y, 51- to 64-y, and ≥65-y age groups (no differences between these 3 groups; P > 0.2 in all cases). Mean phylloquinone intakes had increased (P < 0.01) modestly (6 μg/d) in 18-64-y-olds across a decade. Of the total study population, 55% had phylloquinone intakes below the United Kingdom recommended intake of 1 μg ⋅ kg body weight-1 ⋅ d-1 CONCLUSION: Our study shows that younger adults (aged 18-35 y) appear to be at higher risk of inadequate vitamin K intake and lower vitamin K status, the health implications of which are unclear and warrant further investigation.
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Affiliation(s)
- Aoife Hayes
- Cork Centre for Vitamin D and Nutrition Research
| | | | - Janette Walton
- National Dietary Surveys Research Group, School of Food and Nutritional Sciences
| | - Breige A McNulty
- Institute of Food and Health, University College Dublin, Dublin, Ireland
| | | | - Máiréad Kiely
- Cork Centre for Vitamin D and Nutrition Research.,Irish Centre for Fetal and Neonatal Translational Research, University College Cork, Cork, Ireland; and
| | - Albert Flynn
- National Dietary Surveys Research Group, School of Food and Nutritional Sciences
| | - Kevin D Cashman
- Cork Centre for Vitamin D and Nutrition Research, .,Department of Medicine, and
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Li K, Brennan L, McNulty BA, Bloomfield JF, Duff DJ, Devlin NFC, Gibney MJ, Flynn A, Walton J, Nugent AP. Plasma fatty acid patterns reflect dietary habits and metabolic health: A cross-sectional study. Mol Nutr Food Res 2016; 60:2043-52. [PMID: 27028111 DOI: 10.1002/mnfr.201500711] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2015] [Revised: 03/07/2016] [Accepted: 03/14/2016] [Indexed: 01/10/2023]
Abstract
SCOPE Using pattern analysis, we investigated the relationship between plasma fatty acid patterns, dietary intake, and biomarkers of metabolic health using data from the Irish National Adult Nutrition Survey. METHODS AND RESULTS Plasma fatty acid patterns were derived from 26 plasma fatty acids using k-means cluster analysis. Four clusters were identified, each with a distinct fatty acid profile. Cluster 1 included high proportions of linoleic acid (LA) and low proportions of stearic acid (SA); cluster 2 was higher in n-3 polyunsaturated fatty acids and SA; the profile of cluster 3 was higher in very-long-chain saturated fatty acid (VLCSFA) and lower in α-linolenic acid (ALA) (cluster 3); while cluster 4 was higher in fatty acids related to de novo lipogenesis and 20:3n-6 and lower in LA (cluster 4). In general, cluster 4 was associated with adverse metabolic profile and higher metabolic risk (p < 0.033). Clusters 2 and 3 were associated with healthier and protective phenotypes (p < 0.033). CONCLUSION Distinct fatty acid patterns were identified which were related to demographics, dietary habits, and metabolic profile. A pattern higher in VLCSFA and lower in ALA was associated with healthier metabolic outcome.
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Affiliation(s)
- Kaifeng Li
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
| | - Lorraine Brennan
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
| | - Breige A McNulty
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
| | | | - Dan J Duff
- Chemical Analysis Laboratories, Sandycove, Dublin, Ireland
| | - Niamh F C Devlin
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
| | - Michael J Gibney
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Janette Walton
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Anne P Nugent
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland.
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Martyn DM, Nugent AP, McNulty BA, O'Reilly E, Tlustos C, Walton J, Flynn A, Gibney MJ. Dietary intake of four artificial sweeteners by Irish pre-school children. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2016; 33:592-602. [PMID: 26939625 DOI: 10.1080/19440049.2016.1152880] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
In spite of rigorous pre- and post-market reviews of safety, there remains a high level of debate regarding the use of artificial sweeteners in foods. Young children are of particular interest when assessing food chemical exposure as a result of their unique food consumption patterns and comparatively higher exposure to food chemicals on a body weight basis when compared with the general population. The present study examined the intakes of four intense sweeteners (acesulfame K, aspartame, saccharin, sucralose) in the diets of children aged 1-4 years using food consumption and sweetener presence data from the Irish National Pre-school Nutrition Survey (2010-11) and analytical data for sweetener concentration in foods obtained from a national testing programme. Four exposure assessment scenarios were conducted using the available data on sweetener occurrence and concentration. The results demonstrated that the mean daily intakes for all four sweeteners were below the acceptable daily intake (ADI) (17-31%), even considering the most conservative assumptions regarding sweetener presence and concentration. High consumer intakes (P95) were also below the ADI for the four sweeteners when more realistic estimates of exposure were considered. Both sweetener occurrence and concentration data had a considerable effect on reducing the estimated intake values, with a combined reduction in intakes of 95% when expressed as a proportion of the ADI. Flavoured drinks were deemed to be a key contributor to artificial sweetener intakes in this population cohort. It was concluded that there is no health risk to Irish pre-school children at current dietary intake levels of the sweeteners studied.
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Affiliation(s)
- Danika M Martyn
- a UCD Institute of Food and Health, School of Agriculture and Food Science , University College Dublin , Belfield, Dublin 4 , Ireland
| | - Anne P Nugent
- a UCD Institute of Food and Health, School of Agriculture and Food Science , University College Dublin , Belfield, Dublin 4 , Ireland
| | - Breige A McNulty
- a UCD Institute of Food and Health, School of Agriculture and Food Science , University College Dublin , Belfield, Dublin 4 , Ireland
| | - Emer O'Reilly
- b Food Safety Authority of Ireland; Block D, E and F, Abbey Court , Dublin 1 , Ireland
| | - Christina Tlustos
- b Food Safety Authority of Ireland; Block D, E and F, Abbey Court , Dublin 1 , Ireland
| | - Janette Walton
- c School of Food & Nutritional Sciences , University College Cork , Cork , Ireland
| | - Albert Flynn
- c School of Food & Nutritional Sciences , University College Cork , Cork , Ireland
| | - Michael J Gibney
- a UCD Institute of Food and Health, School of Agriculture and Food Science , University College Dublin , Belfield, Dublin 4 , Ireland
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Zhao Y, Monahan FJ, McNulty BA, Li K, Bloomfield FJ, Duff DJ, Brennan L, Nugent AP, Gibney ER. Plasma n-3 polyunsaturated fatty status and its relationship with vitamin E intake and plasma level. Eur J Nutr 2016; 56:1281-1291. [PMID: 26924304 DOI: 10.1007/s00394-016-1178-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2015] [Accepted: 02/06/2016] [Indexed: 01/25/2023]
Abstract
PURPOSE The aim of the study was to investigate habitual vitamin E intake and plasma α-tocopherol concentration and their relationship with plasma fatty acid profile in a healthy adult population. METHODS Vitamin E and fatty acid intake data were determined from the National Adult Nutrition Survey. Plasma α- and γ-tocopherol concentrations were quantified by high-performance liquid chromatography and the percentage of fatty acids in plasma by gas chromatography coupled with mass spectrometry. Participants (n = 601) were divided into vitamin E intake quartiles and plasma α-tocopherol quartiles, and differences in fatty acid intake and plasma fatty acid profile were analyzed by a general linear model. RESULTS Dietary intake data showed that as vitamin E intake increased, intakes of total polyunsaturated fatty acid (PUFA) and α-linolenic acid increased significantly (p < 0.001), but eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) did not. After adjusting for fatty acid intake, vitamin E intake was positively related to plasma n-3 PUFA (EPA and DHA) levels and plasma n-3/n-6 PUFA ratio. Plasma α-tocopherol concentration was positively related to the percentage of plasma total PUFA, n-3 PUFA and EPA and inversely related to the percentage of plasma n-6 PUFA. CONCLUSIONS The study illustrates that there are statistical relationships between plasma fatty acid profile and both vitamin E intake and plasma α-tocopherol concentration. Vitamin E may play a role in the maintenance of plasma n-3 PUFA profile in humans with consequent desirable health effects.
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Affiliation(s)
- Yang Zhao
- UCD Institute of Food and Health, University College Dublin, Dublin 4, Republic of Ireland
| | - Frank J Monahan
- UCD Institute of Food and Health, University College Dublin, Dublin 4, Republic of Ireland
| | - Breige A McNulty
- UCD Institute of Food and Health, University College Dublin, Dublin 4, Republic of Ireland
| | - Kaifeng Li
- UCD Institute of Food and Health, University College Dublin, Dublin 4, Republic of Ireland
| | - Frederick J Bloomfield
- Chemical Analysis Laboratories Ltd, Hudson Road, Sandycove, Co Dublin, Republic of Ireland
| | - Daniel J Duff
- Chemical Analysis Laboratories Ltd, Hudson Road, Sandycove, Co Dublin, Republic of Ireland
| | - Lorraine Brennan
- UCD Institute of Food and Health, University College Dublin, Dublin 4, Republic of Ireland
| | - Anne P Nugent
- UCD Institute of Food and Health, University College Dublin, Dublin 4, Republic of Ireland
| | - Eileen R Gibney
- UCD Institute of Food and Health, University College Dublin, Dublin 4, Republic of Ireland.
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Zhao Y, Monahan FJ, McNulty BA, Brennan L, Gibney MJ, Gibney ER. α-Tocopherol Stereoisomers in Human Plasma Are Affected by the Level and Form of the Vitamin E Supplement Used. J Nutr 2015; 145:2347-54. [PMID: 26290004 DOI: 10.3945/jn.115.213280] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2015] [Accepted: 07/27/2015] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Studies examining vitamin E intake and the percentage of the population meeting dietary guidelines do not distinguish between natural (RRR-α-tocopherol) and synthetic (all-rac-α-tocopherol) intake, even though these different isomeric forms differ in bioactivity. OBJECTIVE This study aimed to determine the effect of RRR-α-tocopherol vs. all-rac-α-tocopherol intake on the percentage of the population meeting the vitamin E recommendation and on plasma α-tocopherol stereoisomer distribution. METHODS With the use of data from the Irish National Adult Nutrition Survey (NANS), this study examined the percentage of the Irish population meeting the European Union (EU) RDA for vitamin E of 12 mg/d, correcting for a bioactivity difference in all-rac- vs. RRR-α-tocopherol, where 1 mg of all-rac-α-tocopherol is considered to be equivalent to 1:1.36 (0.74) mg in the EU RDA. In a subcohort of supplement users and nonusers, plasma α- and γ-tocopherol concentrations and α-tocopherol stereoisomer distribution were measured. Receiver operating characteristic (ROC) curve analysis was conducted to determine ability to discriminate supplement user types. RESULTS Analysis of the NANS showed that 100% of participants still met the recommended intake of 12 mg/d, after all-rac-α-tocopherol intake was corrected for α-tocopherol equivalent bioactivity. In the subcohort analysis, the percentage of plasma RRR-α-tocopherol was significantly lower in high all-rac-α-tocopherol supplement (>11 mg/d) users (82%) compared with nonusers and with high RRR-α-tocopherol supplement (>35 mg/d) users (91% and 93% respectively, P < 0.01). High RRR-α-tocopherol supplement users had a significantly higher plasma α-tocopherol than low all-rac-α-tocopherol supplement (<2.5 mg/d) users (34 vs. 25 μmol/L, P = 0.01). ROC analysis demonstrated an ability to distinguish between RRR- and all-rac-α-tocopherol consumers, which may be useful in investigating the potential effect of RRR- and all-rac-α-tocopherol intake on health. CONCLUSIONS This study demonstrated that the percentage of the population meeting the vitamin E recommendation was unaffected when all-rac-α-tocopherol intake was corrected for α-tocopherol equivalent bioactivity. all-rac-α-Tocopherol intake led to a decrease in the percentage of plasma RRR-α-tocopherol relative to RRR-α-tocopherol intake.
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Affiliation(s)
- Yang Zhao
- UCD Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Frank J Monahan
- UCD Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Breige A McNulty
- UCD Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Lorraine Brennan
- UCD Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Mike J Gibney
- UCD Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Eileen R Gibney
- UCD Institute of Food and Health, University College Dublin, Dublin, Ireland
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Rice N, Gibbons H, McNulty BA, Walton J, Flynn A, Gibney MJ, Nugent AP. Development and validation testing of a short nutrition questionnaire to identify dietary risk factors in preschoolers aged 12-36 months. Food Nutr Res 2015; 59:27912. [PMID: 26058751 PMCID: PMC4461756 DOI: 10.3402/fnr.v59.27912] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2015] [Revised: 05/01/2015] [Accepted: 05/07/2015] [Indexed: 12/01/2022] Open
Abstract
Background Although imbalances in dietary intakes can have short and longer term influences on the health of preschool children, few tools exist to quickly and easily identify nutritional risk in otherwise healthy young children. Objectives To develop and test the validity of a parent-administered questionnaire (NutricheQ) as a means of evaluating dietary risk in young children (12–36 months). Design Following a comprehensive development process and internal reliability assessment, the NutricheQ questionnaire was validated in a cohort of 371 Irish preschool children as part of the National Preschool Nutrition Survey. Dietary risk was rated on a scale ranging from 0 to 22 from 11 questions, with a higher score indicating higher risk. Results Children with higher NutricheQ scores had significantly (p<0.05) lower mean daily intakes of key nutrients such as iron, zinc, vitamin D, riboflavin, niacin, folate, phosphorous, potassium, carotene, retinol, and dietary fibre. They also had lower (p<0.05) intakes of vegetables, fish and fish dishes, meat and infant/toddler milks and higher intakes of processed foods and non-milk beverages, confectionery, sugars and savoury snack foods indicative of poorer dietary quality. Areas under the curve values of 84.7 and 75.6% were achieved for ‘medium’ and ‘high’ dietary risk when compared with expert risk ratings indicating good consistency between the two methods. Conclusion NutricheQ is a valid method of quickly assessing dietary quality in preschoolers and in identifying those at increased nutritional risk. In Context Analysis of data from national food and nutrition surveys typically identifies shortfalls in dietary intakes or quality of young children. This can relate to intakes of micronutrients such as iron or vitamin D as well as to the balance of macronutrients they consume (e.g. fat or sugar). Alongside this lie concerns regarding overweight and obesity and physical inactivity. This combination of risk factors has potential negative effects for both short and longer term health. Hence, screening tools, such as NutricheQ described here, offer an opportunity for early identification and subsequent appropriate timely intervention from 12 months of age. This paper describes the development and validation of NutricheQ, a short user-friendly questionnaire. Designed to be administered by parents or carers, it aims to help healthcare professionals identify children at risk based on known, evidence-based nutritional risk factors. It is hoped in the longer term that this tool can be adapted for use globally and improve child health through early identification, which can be followed up by targeted, cost-effective interventions.
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Affiliation(s)
- Niamh Rice
- Previs Healthcare Ltd, Kilmacanogue, Wicklow, Ireland
| | - Helena Gibbons
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland
| | - Breige A McNulty
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland
| | - Janette Walton
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Michael J Gibney
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland
| | - Anne P Nugent
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland;
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Hopkins SM, Gibney MJ, Nugent AP, McNulty H, Molloy AM, Scott JM, Flynn A, Strain JJ, Ward M, Walton J, McNulty BA. Impact of voluntary fortification and supplement use on dietary intakes and biomarker status of folate and vitamin B-12 in Irish adults. Am J Clin Nutr 2015; 101:1163-72. [PMID: 25877491 DOI: 10.3945/ajcn.115.107151] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2015] [Accepted: 03/17/2015] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Ireland has traditionally operated a liberal policy of voluntary fortification, but little is known about how this practice, along with supplement use, affects population intakes and status of folate and vitamin B-12. OBJECTIVE The aim was to examine the relative impact of voluntary fortification and supplement use on dietary intakes and biomarker status of folate and vitamin B-12 in Irish adults. DESIGN Folic acid and vitamin B-12 from fortified foods and supplements were estimated by using brand information for participants from the cross-sectional National Adult Nutrition Survey 2008-2010. Dietary and biomarker values were compared between 6 mutually exclusive consumption groups formed on the basis of folic acid intake. RESULTS The consumption of folic acid through fortified foods at low, medium, and high levels of exposure [median (IQR) intakes of 22 (13, 32), 69 (56, 84), and 180 (137, 248) μg/d, respectively]; from supplements [203 (150, 400) μg/d]; or from both sources [287 (220, 438) μg/d] was associated with significantly higher folate intakes and status compared with nonconsumption of folic acid (18% of the population). Median (IQR) red blood cell (RBC) folate increased significantly from 699 (538, 934) nmol/L in nonconsumers to 1040 (83, 1390) nmol/L in consumers with a high intake of fortified foods (P < 0.001), with further nonsignificant increases in supplement users. Supplement use but not fortification was associated with significantly higher serum vitamin B-12 concentrations relative to nonconsumers (P < 0.001). Two-thirds of young women had suboptimal RBC folate for protection against neural tube defects (NTDs); among nonconsumers of folic acid, only 16% attained optimal RBC folate. CONCLUSIONS The consumption of voluntarily fortified foods and/or supplement use was associated with significantly higher dietary intakes and biomarker status of folate in Irish adults. Of concern, the majority of young women remain suboptimally protected against NTDs.
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Affiliation(s)
- Sinéad M Hopkins
- From the Institute of Food and Health, University College Dublin, Belfield Dublin, Republic of Ireland (SMH, MJG, APN, and BAM); the Northern Ireland Centre for Food and Health, University of Ulster, Coleraine, Northern Ireland (HM, JJS, and MW); the School of Clinical Medicine, Trinity College, Dublin, Republic of Ireland (AMM and JMS); and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (AF and JW)
| | - Michael J Gibney
- From the Institute of Food and Health, University College Dublin, Belfield Dublin, Republic of Ireland (SMH, MJG, APN, and BAM); the Northern Ireland Centre for Food and Health, University of Ulster, Coleraine, Northern Ireland (HM, JJS, and MW); the School of Clinical Medicine, Trinity College, Dublin, Republic of Ireland (AMM and JMS); and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (AF and JW).
| | - Anne P Nugent
- From the Institute of Food and Health, University College Dublin, Belfield Dublin, Republic of Ireland (SMH, MJG, APN, and BAM); the Northern Ireland Centre for Food and Health, University of Ulster, Coleraine, Northern Ireland (HM, JJS, and MW); the School of Clinical Medicine, Trinity College, Dublin, Republic of Ireland (AMM and JMS); and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (AF and JW)
| | - Helene McNulty
- From the Institute of Food and Health, University College Dublin, Belfield Dublin, Republic of Ireland (SMH, MJG, APN, and BAM); the Northern Ireland Centre for Food and Health, University of Ulster, Coleraine, Northern Ireland (HM, JJS, and MW); the School of Clinical Medicine, Trinity College, Dublin, Republic of Ireland (AMM and JMS); and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (AF and JW)
| | - Anne M Molloy
- From the Institute of Food and Health, University College Dublin, Belfield Dublin, Republic of Ireland (SMH, MJG, APN, and BAM); the Northern Ireland Centre for Food and Health, University of Ulster, Coleraine, Northern Ireland (HM, JJS, and MW); the School of Clinical Medicine, Trinity College, Dublin, Republic of Ireland (AMM and JMS); and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (AF and JW)
| | - John M Scott
- From the Institute of Food and Health, University College Dublin, Belfield Dublin, Republic of Ireland (SMH, MJG, APN, and BAM); the Northern Ireland Centre for Food and Health, University of Ulster, Coleraine, Northern Ireland (HM, JJS, and MW); the School of Clinical Medicine, Trinity College, Dublin, Republic of Ireland (AMM and JMS); and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (AF and JW)
| | - Albert Flynn
- From the Institute of Food and Health, University College Dublin, Belfield Dublin, Republic of Ireland (SMH, MJG, APN, and BAM); the Northern Ireland Centre for Food and Health, University of Ulster, Coleraine, Northern Ireland (HM, JJS, and MW); the School of Clinical Medicine, Trinity College, Dublin, Republic of Ireland (AMM and JMS); and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (AF and JW)
| | - J J Strain
- From the Institute of Food and Health, University College Dublin, Belfield Dublin, Republic of Ireland (SMH, MJG, APN, and BAM); the Northern Ireland Centre for Food and Health, University of Ulster, Coleraine, Northern Ireland (HM, JJS, and MW); the School of Clinical Medicine, Trinity College, Dublin, Republic of Ireland (AMM and JMS); and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (AF and JW)
| | - Mary Ward
- From the Institute of Food and Health, University College Dublin, Belfield Dublin, Republic of Ireland (SMH, MJG, APN, and BAM); the Northern Ireland Centre for Food and Health, University of Ulster, Coleraine, Northern Ireland (HM, JJS, and MW); the School of Clinical Medicine, Trinity College, Dublin, Republic of Ireland (AMM and JMS); and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (AF and JW)
| | - Janette Walton
- From the Institute of Food and Health, University College Dublin, Belfield Dublin, Republic of Ireland (SMH, MJG, APN, and BAM); the Northern Ireland Centre for Food and Health, University of Ulster, Coleraine, Northern Ireland (HM, JJS, and MW); the School of Clinical Medicine, Trinity College, Dublin, Republic of Ireland (AMM and JMS); and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (AF and JW)
| | - Breige A McNulty
- From the Institute of Food and Health, University College Dublin, Belfield Dublin, Republic of Ireland (SMH, MJG, APN, and BAM); the Northern Ireland Centre for Food and Health, University of Ulster, Coleraine, Northern Ireland (HM, JJS, and MW); the School of Clinical Medicine, Trinity College, Dublin, Republic of Ireland (AMM and JMS); and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (AF and JW)
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Gibbons H, McNulty BA, Nugent AP, Walton J, Flynn A, Gibney MJ, Brennan L. A metabolomics approach to the identification of biomarkers of sugar-sweetened beverage intake. Am J Clin Nutr 2015; 101:471-7. [PMID: 25733631 DOI: 10.3945/ajcn.114.095604] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The association between sugar-sweetened beverages (SSBs) and health risks remains controversial. To clarify proposed links, reliable and accurate dietary assessment methods of food intakes are essential. OBJECTIVE The aim of this present work was to use a metabolomics approach to identify a panel of urinary biomarkers indicative of SSB consumption from a national food consumption survey and subsequently validate this panel in an acute intervention study. DESIGN Heat map analysis was performed to identify correlations between ¹H nuclear magnetic resonance (NMR) spectral regions and SSB intakes in participants of the National Adult Nutrition Survey (n = 565). Metabolites were identified and receiver operating characteristic (ROC) analysis was performed to assess sensitivity and specificity of biomarkers. The panel of biomarkers was validated in an acute study (n = 10). A fasting first-void urine sample and postprandial samples (2, 4, 6 h) were collected after SSB consumption. After NMR spectroscopic profiling of the urine samples, multivariate data analysis was applied. RESULTS A panel of 4 biomarkers-formate, citrulline, taurine, and isocitrate-were identified as markers of SSB intake. This panel of biomarkers had an area under the curve of 0.8 for ROC analysis and a sensitivity and specificity of 0.7 and 0.8, respectively. All 4 biomarkers were identified in the SSB sample. After acute consumption of an SSB drink, all 4 metabolites increased in the urine. CONCLUSIONS The present metabolomics-based strategy proved to be successful in the identification of SSB biomarkers. Future work will ascertain how to translate this panel of markers for use in nutrition epidemiology.
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Affiliation(s)
- Helena Gibbons
- From the Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland (HG, BAM, APN, MJG, and LB), and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (JW and AF)
| | - Breige A McNulty
- From the Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland (HG, BAM, APN, MJG, and LB), and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (JW and AF)
| | - Anne P Nugent
- From the Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland (HG, BAM, APN, MJG, and LB), and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (JW and AF)
| | - Janette Walton
- From the Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland (HG, BAM, APN, MJG, and LB), and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (JW and AF)
| | - Albert Flynn
- From the Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland (HG, BAM, APN, MJG, and LB), and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (JW and AF)
| | - Michael J Gibney
- From the Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland (HG, BAM, APN, MJG, and LB), and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (JW and AF)
| | - Lorraine Brennan
- From the Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland (HG, BAM, APN, MJG, and LB), and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (JW and AF)
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Boylan EA, McNulty BA, Walton J, Flynn A, Nugent AP, Gibney MJ. The prevalence and trends in overweight and obesity in Irish adults between 1990 and 2011. Public Health Nutr 2014; 17:2389-97. [PMID: 24721159 PMCID: PMC10282270 DOI: 10.1017/s1368980014000536] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2013] [Revised: 02/11/2014] [Accepted: 03/10/2014] [Indexed: 01/27/2023]
Abstract
OBJECTIVE Obesity is a serious public health issue, the prevalence of which is increasing globally. The present study aimed to investigate trends in overweight and obesity in Irish adults between 1990 and 2011. DESIGN Anthropometric data from three Irish national food consumption surveys were used to calculate trends in BMI, waist circumference and waist:hip ratio. SETTING Three cross-sectional food consumption surveys: the Irish National Nutrition Survey (1990), the North/South Ireland Food Consumption Survey (2001) and the National Adult Nutrition Survey (2011). SUBJECTS A collective sample of free-living Irish adults (n 3125), aged 18-64 years. RESULTS There were significant increases in mean weight, height and BMI from 1990 to 2011. Significant increments were also reported in waist and hip circumferences and waist:hip ratio between 2001 and 2011, with concurrent increases in the proportion of individuals at risk of developing CVD, particularly females aged 18-35 years. In 2011, 23·4 % of the Irish population was classified as obese; with the mean BMI increasing by 1·1 kg/m2 between 1990 and 2001 and by 0·6 kg/m2 between 2001 and 2011. CONCLUSIONS The present paper characterises obesity levels in Irish adults from 1990 to 2011. Absolute levels of overweight and obesity have increased between these time points. Of concern is the increase in the proportion of young women classified as at risk of CVD, using waist circumference and waist:hip ratio. Effective prevention strategies are needed to avoid further increases.
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Affiliation(s)
- Elaine A Boylan
- UCD Institute of Food and Health, University College Dublin, Room L2.57, Science Centre South, Belfield, Dublin 4, Republic of Ireland
| | - Breige A McNulty
- UCD Institute of Food and Health, University College Dublin, Room L2.57, Science Centre South, Belfield, Dublin 4, Republic of Ireland
| | - Janette Walton
- School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland
| | - Anne P Nugent
- UCD Institute of Food and Health, University College Dublin, Room L2.57, Science Centre South, Belfield, Dublin 4, Republic of Ireland
| | - Michael J Gibney
- UCD Institute of Food and Health, University College Dublin, Room L2.57, Science Centre South, Belfield, Dublin 4, Republic of Ireland
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Lindsay KL, Gibney ER, McNulty BA, McAuliffe FM. Pregnant immigrant Nigerian women: an exploration of dietary intakes. Public Health 2014; 128:647-53. [PMID: 25065518 DOI: 10.1016/j.puhe.2014.05.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2013] [Revised: 04/23/2014] [Accepted: 05/01/2014] [Indexed: 11/29/2022]
Abstract
OBJECTIVE The aim of the study is to explore the dietary intakes of a prominent ethnic minority group of women from Sub-Saharan Africa during pregnancy, in order to identify nutritional issues of concern which may impact on pregnancy outcomes and whether different food based dietary guidelines may be required to meet their needs. STUDY DESIGN This is an observational study with quantitative assessment of nutrient intakes and an exploration of meal composition and food choices. METHODS Fifty-two Nigerian pregnant women in their second or third trimester of pregnancy were recruited from antenatal clinics in the National Maternity Hospital, Dublin, Ireland. Early pregnancy weight was measured and body mass index recorded. A 24 h dietary recall was used to assess food and nutrient intakes. RESULTS Eighty-nine per cent of the study population were classified as overweight or obese. These women appear to be maintaining traditional African dietary habits and have a healthy macronutrient composition in the diet. The intake of key pregnancy micronutrients such as calcium, vitamin D and folate may be insufficient from diet alone to meet requirements and supplements may be inadequately utilized in a timely manner. CONCLUSIONS These women represent a vulnerable obstetric group that may be at risk of adverse pregnancy outcomes due to high obesity rates and inadequate micronutrient status in early pregnancy. Provision of dietary advice should be tailored to suit their cultural dietary practices and food preferences. Pre-conception counselling on healthy lifestyle and appropriate supplement usage may be beneficial, although larger studies are required to assess the need for specific nutrition policy recommendations.
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Affiliation(s)
- K L Lindsay
- UCD Obstetrics and Gynaecology, School of Medicine and Medical Science, University College Dublin, National Maternity Hospital, Holles St., Dublin 2, Ireland.
| | - E R Gibney
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Bellfield, Dublin 4, Ireland
| | - B A McNulty
- UCD Institute of Food and Health, School of Agriculture and Food Science, University College Dublin, Bellfield, Dublin 4, Ireland
| | - F M McAuliffe
- UCD Obstetrics and Gynaecology, School of Medicine and Medical Science, University College Dublin, National Maternity Hospital, Holles St., Dublin 2, Ireland
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Devlin NF, McNulty BA, Turrini A, Tlustos C, Hearty AP, Volatier JL, Kelleher CC, Nugent AP. Identifying core foods for total diet studies: a comparison of four different approaches. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2014; 31:1347-57. [DOI: 10.1080/19440049.2014.930970] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Devlin NFC, McNulty BA, Turrini A, Tlustos C, Hearty AP, Volatier JL, Kelleher CC, Nugent AP. A harmonised approach for identifying core foods for total diet studies. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2014; 31:1336-46. [PMID: 24893144 DOI: 10.1080/19440049.2014.930969] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Total diet studies (TDS) are used to gather information on chemical substances in food, thereby facilitating risk assessments and health monitoring. Candidate foods for inclusion in a TDS should represent a large part of a typical diet to estimate accurately the exposure of a population and/or specific population groups. There are currently no harmonised guidelines for the selection of foods in a TDS, and so the aim of this study was to explore the possibility of generating a harmonised approach to be used across Europe. Summary statistics data from the European Food Safety Authority's (EFSA) Comprehensive Food Consumption Database were used in this research, which provided data from national food consumption surveys in Europe. The chosen methodology for the selection of foods was based on the weight of food consumed and consumer rate. Using the available data, 59 TDS food lists were created, representing over 51 000 people across 17 countries and seven population groups. All TDS food lists represented > 85% of the populations' diets (85.9-96.3%), while the number of foods in the TDS food lists ranged from 15 to 102. Comparison of the TDS food lists indicated that the most commonly consumed foods included wheat bread and rolls, pastries and cakes, tomatoes, apples, bananas, and chicken, while cow's milk, tap water and orange juice were the most commonly consumed beverages across Europe. This work was complete to support EFSA and other institutions in the development of harmonised TDS into the future.
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Affiliation(s)
- Niamh F C Devlin
- a Institute of Food & Health , University College Dublin , Dublin , Ireland
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