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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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Medina-Gómez OS, Escobedo-de la Peña J. [Inequalities in diabetes mortality in Mexico: 2010-2019]. GAC MED MEX 2023; 159. [PMID: 36857699 DOI: 10.24875/gmm.22000298] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 11/03/2022] [Indexed: 03/03/2023] Open
Abstract
Background The impact of diabetes mellitus has been shown to be differentially expressed between social groups. Objective To estimate inequality gaps in diabetes mellitus mortality through absolute and relative measures according to geographic distribution and social conditions. Material and methods Diabetes mellitus-related deaths recorded in Mexico between 2010 and 2019 were analyzed, and inequality measurements at the state level were calculated by gender. Results National age-adjusted diabetes mellitus mortality rate showed an increase during the study period. Conclusion The inequalities present in diabetes mortality should be considered for the design of health strategies.
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Affiliation(s)
- Oswaldo S Medina-Gómez
- Unidad de Investigación en Epidemiología Clínica, Hospital General Regional 1, Instituto Mexicano del Seguro Social, Ciudad de México, México
| | - Jorge Escobedo-de la Peña
- Unidad de Investigación en Epidemiología Clínica, Hospital General Regional 1, Instituto Mexicano del Seguro Social, Ciudad de México, México
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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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Medina-Gómez OS, Peña JEDL. Inequalities in diabetes mortality in Mexico: 2010-2019. GAC MED MEX 2023; 159:110-115. [PMID: 37094231 DOI: 10.24875/gmm.m22000755] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023] Open
Abstract
BACKGROUND The impact of diabetes mellitus has been shown to be differentially expressed between social groups. OBJECTIVE To estimate inequality gaps in diabetes mellitus mortality through absolute and relative measures according to geographic distribution and social conditions. MATERIAL AND METHODS Diabetes mellitus-related deaths recorded in Mexico between 2010 and 2019 were analyzed, and inequality measurements at the state level were calculated by gender. RESULTS National age-adjusted diabetes mellitus mortality rate showed an increase during the study period. CONCLUSION The inequalities present in diabetes mortality should be considered for the design of health strategies.
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Affiliation(s)
- Oswaldo S Medina-Gómez
- Clinical Epidemiology Research Unit, Regional General Hospital 1, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Jorge Escobedo-de la Peña
- Clinical Epidemiology Research Unit, Regional General Hospital 1, Instituto Mexicano del Seguro Social, Mexico City, Mexico
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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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Velázquez-López L, Segura Cid Del Prado P, Colín-Ramírez E, Muñoz-Torres AV, Escobedo-de la Peña J. Adherence to non-pharmacological treatment is associated with the goals of cardiovascular control and better eating habits in Mexican patients with type 2 diabetes mellitus. Clin Investig Arterioscler 2021; 34:88-96. [PMID: 34103182 DOI: 10.1016/j.arteri.2021.03.005] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 03/10/2021] [Accepted: 03/15/2021] [Indexed: 11/16/2022]
Abstract
OBJECTIVE To identify the association of diabetes education or medical nutrition therapy with the goals of control of cardiovascular risk indicators and dietary habits in patients with type 2 diabetes mellitus. METHODS Analytical cross-sectional study in 395 primary care patients. HbA1c, fasting glucose and lipid profile, blood pressure, weight, waist circumference, and body composition were measured. Dietary habits were measured using the «Instrument for measuring lifestyle in patients with type 2 diabetes mellitus» (IMEVID), in the nutrition dimension. Medical nutrition therapy (MNT) and diabetes education (DE) were considered as received by the patient when provided in their healthcare clinic. RESULTS Women comprised 68% of the patients, with a median of 6 years from diabetes diagnosis. Of the patients, 21% received DE and MNT, 28% DE or MNT, and 51% received neither. The HbA1c was lower in the patients with DE and MNT (7.7% ± 1.9% vs. 8.7% ± 2.3%, 8.4% ± 2.2%; p = .003) respectively. In the patients with DE and MNT, a higher proportion took physical exercise, consumed less tobacco, and had better dietary habits (p < .05). Patients who received DE and MNT achieved HbA1c and HDL-c control levels. A greater risk of HbA1c > 7% was identified when they only received DE or MNT or neither, a longer time since diagnosis of the disease and less frequent adherence to a diet to control the disease (p < .05). CONCLUSION Diabetes education and medical nutritional therapy favour the goal of cardiovascular risk control and better dietary habits in the patient with type 2 diabetes.
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Affiliation(s)
- Lubia Velázquez-López
- Unidad de Investigación en Epidemiología Clínica. Hospital Carlos MacGregor Sánchez Navarro. Instituto Mexicano del Seguro Social, Ciudad de México, México.
| | | | - Eloísa Colín-Ramírez
- Centro de Investigación en Ciencias de la Salud (CICSA), Facultad de Ciencias de la Salud, Universidad Anáhuac, Huixquilucan, Estado de México, México
| | - Abril Violeta Muñoz-Torres
- Departamento de Salud Pública. Facultad de Medicina. Universidad Nacional Autónoma de México, Ciudad de México, México
| | - Jorge Escobedo-de la Peña
- Unidad de Investigación en Epidemiología Clínica. Hospital Carlos MacGregor Sánchez Navarro. Instituto Mexicano del Seguro Social, Ciudad de México, México
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Assah FK, Assunção MCF, Aung MS, Auvinen J, Avdicová M, Avi S, Azevedo A, Azimi-Nezhad M, Azizi F, Azmin M, Babu BV, Jørgensen MB, 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, Romdhane HB, Benedics J, Benet M, Bergh IH, 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, Lele ECB, 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, 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, de León AC, 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, Rahim NCA, Li Chee M, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Cheraghian B, Chetrit A, Chikova-Iscener E, Chiolero A, Chiou ST, 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, Czenczek-Lewandowska E, D'Arrigo G, d'Orsi E, Dacica L, Re Saavedra MÁD, Dallongeville J, Damsgaard CT, 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, Jr DeGennaro V, Dehghan A, Delisle H, Delpeuch F, Demarest S, Dennison E, Dereń K, Deschamps V, 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, Dragano N, Drygas W, Li Duan J, 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, la Peña JED, Eslami S, Esmaeili A, Evans A, Faeh D, Fakhretdinova AA, Fall CH, Faramarzi E, Farjam M, Sant'Angelo VF, 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, Foo LH, Forsner M, Fouad HM, Francis DK, do Carmo Franco M, 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, Goldberg M, Goldsmith RA, Goltzman D, Gómez SF, Gomula A, da Silva BGC, 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 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Luksiene D, Lundqvist A, Lundqvist R, Lunet N, Lunogelo C, Lustigová M, Łuszczki E, Ma G, Ma J, Ma X, Machado-Coelho GLL, Machado-Rodrigues AM, 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, Rao KM, Malyutina SK, Maniego LV, Manios Y, Mann JI, Mansour-Ghanaei F, Manzato E, Margozzini P, 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, 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, Benchekor SM, 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, Meyer HE, Mi J, Michaelsen KF, Michels N, Mikkel K, 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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
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Shoaib Afzal
- 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
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Abdul Basit
- 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
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Laura Censi
- Council for Agricultural Research and Economics
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Angela Chetrit
- The Gertner Institute for Epidemiology and Health Policy Research
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Cora L Craig
- 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
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jia Li Duan
- Beijing Center for Disease Prevention and Control
| | | | | | | | | | | | | | - Anar Dushpanova
- Scuola Superiore Sant'Anna
- Al-Farabi Kazakh National University
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Günther Fink
- Swiss Tropical and Public Health Institute
- University of Basel
| | | | | | | | - Heba M Fouad
- 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
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jie Hao
- 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
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jost B Jonas
- Institute of Molecular and Clinical Ophthalmology Basel
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Yves Kameli
- French National Research Institute for Sustainable Development
| | | | | | | | | | | | | | | | | | - Joanne Katz
- Johns Hopkins Bloomberg School of Public Health
| | | | | | | | | | | | | | | | | | - Roya Kelishadi
- Research Institute for Primordial Prevention of Non-communicable Disease
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Slawomir Koziel
- PASs Hirszfeld Institute of Immunology and Experimental Therapy
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Edwige Landais
- French National Research Institute for Sustainable Development
| | - Vera Lanska
- Institute for Clinical and Experimental Medicine
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Xu Lin
- University of Chinese Academy of Sciences
| | | | | | | | | | | | - Lijuan Liu
- Capital Medical University Beijing Tongren Hospital
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Xu Ma
- National Research Institute for Health and Family Planning
| | | | | | | | | | - Stefania Maggi
- Institute of Neuroscience of the National Research Council
| | | | | | | | | | - Bernard Maire
- French National Research Institute for Sustainable Development
| | | | | | - Päivi Mäki
- Finnish Institute for Health and Welfare
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jaume Marrugat
- CIBERCV
- Institut Hospital del Mar d'Investigacions Mèdiques
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jie Mi
- Capital Institute of Pediatrics
| | | | | | | | | | | | | | - GK Mini
- Women’s Social and Health Studies Foundation
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Marie Moitry
- University of Strasbourg
- Strasbourg University Hospital
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jorge Motta
- Instituto Conmemorativo Gorgas de Estudios de la Salud
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jana Námešná
- 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
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Pierre Traissac
- 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
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Anette Varbo
- 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
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Bogdan Wojtyniak
- 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
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Yi Zeng
- 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
| | | | | | | | - Maigeng Zhou
- 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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8
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Peña JEDL, Rascón-Pacheco RA, Ascencio-Montiel IDJ, González-Figueroa E, Fernández-Gárate JE, Medina-Gómez OS, Borja-Bustamante P, Santillán-Oropeza JA, Borja-Aburto VH. Hypertension, Diabetes and Obesity, Major Risk Factors for Death in Patients with COVID-19 in Mexico. Arch Med Res 2020; 52:443-449. [PMID: 33380361 PMCID: PMC7832055 DOI: 10.1016/j.arcmed.2020.12.002] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [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: 09/10/2020] [Revised: 11/14/2020] [Accepted: 12/03/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND Mexico has reported high death and case fatality rates due to COVID-19. Several comorbidities have been related to mortality in COVID-19, as hypertension, diabetes, coronary heart disease, chronic obstructive lung disease and chronic kidney disease. AIMS To describe the main clinical characteristics of COVID-19 in the major social security institution in Mexico, as well as the contribution of chronic comorbidities and the population attributable fraction related to them. METHODS Data for all patients with a positive test for SARS-CoV-2 in the institutional database was included for analysis. Demographic information, the presence of pneumonia and whether the patient was hospitalized or treated at home as an outpatient as well as comorbidities were analyzed. Case fatality rate was estimated for different groups. Odds ratios with 95% confidence intervals from a logistic regression model were estimated, as well as the population attributable fraction. RESULTS By November 13, 2020, 323,671 subjects with COVID-19 infection have been identified. Case fatality rate is higher in males (20.2%), than in females (13.0%), and increases with age. Case fatality rate increased with the presence of obesity, hypertension and/or diabetes. Age and sex were major independent risk factors for mortality, as well as the presence of pneumonia, diabetes, hypertension, obesity, immunosuppression, and end-stage kidney disease. The population attributable fraction due to obesity in outpatients was 16.8%. CONCLUSIONS Major cardiovascular risk factors and other comorbidities increase the risk of dying in patients with COVID-19. Identification of populations with high fatality in COVID-19, provides insight to deal with this pandemic by health services in Mexico.
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Affiliation(s)
- Jorge Escobedo-de la Peña
- Unidad de Investigación en Epidemiología Clínica, Hospital Regional 1, Instituto Mexicano del Seguro Social, Benito Juárez, Ciudad de México, México.
| | - Ramón Alberto Rascón-Pacheco
- Coordinación de Vigilancia Epidemiológica, Instituto Mexicano del Seguro Social, Benito Juárez, Ciudad de México, México
| | - Iván de Jesús Ascencio-Montiel
- Coordinación de Vigilancia Epidemiológica, Instituto Mexicano del Seguro Social, Benito Juárez, Ciudad de México, México
| | - Evangelina González-Figueroa
- Unidad de Investigación en Epidemiología Clínica, Hospital Regional 1, Instituto Mexicano del Seguro Social, Benito Juárez, Ciudad de México, México
| | - José Esteban Fernández-Gárate
- Coordinación de Vigilancia Epidemiológica, Instituto Mexicano del Seguro Social, Benito Juárez, Ciudad de México, México
| | - Oswaldo Sinoé Medina-Gómez
- Unidad de Investigación en Epidemiología Clínica, Hospital Regional 1, Instituto Mexicano del Seguro Social, Benito Juárez, Ciudad de México, México
| | - Patricia Borja-Bustamante
- Unidad de Investigación en Epidemiología Clínica, Hospital Regional 1, Instituto Mexicano del Seguro Social, Benito Juárez, Ciudad de México, México
| | - Juan Anwar Santillán-Oropeza
- Unidad de Investigación en Epidemiología Clínica, Hospital Regional 1, Instituto Mexicano del Seguro Social, Benito Juárez, Ciudad de México, México
| | - Víctor Hugo Borja-Aburto
- Dirección de Prestaciones Médicas, Instituto Mexicano del Seguro Social, Cuauhtémoc, Ciudad de México, México
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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, 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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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Mirrakhimov E, Modesti PA, Moghaddam SS, Mohajer B, Mohamed MK, Mohammad K, 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, Monterrubio-Flores E, Moosazadeh M, Morejon A, Moreno LA, Morgan K, Morin SN, Moschonis G, Mossakowska M, Mostafa A, Mota J, Motlagh ME, Motta J, Msyamboza KP, Muiesan ML, Müller-Nurasyid M, Mursu J, Mustafa N, Nabipour I, Naderimagham S, Nagel G, Naidu BM, Najafi F, Nakamura H, Námešná J, Nang EEK, Nangia VB, Nauck M, Neal WA, Nejatizadeh A, Nenko I, Nervi F, Nguyen ND, Nguyen QN, Nieto-Martínez RE, Nihal T, Niiranen TJ, Ning G, Ninomiya T, Noale M, Noboa OA, Noto D, Nsour MA, Nuhoğlu I, O’Neill TW, O’Reilly D, Ochoa-Avilés AM, Oh K, Ohtsuka R, Olafsson Ö, Olié V, Oliveira IO, Omar MA, Onat A, Ong SK, Ordunez P, Ornelas R, Ortiz PJ, Osmond C, Ostojic SM, Ostovar A, Otero JA, Owusu-Dabo E, Paccaud FM, Pahomova E, Pajak A, Palmieri L, Pan WH, 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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Escobedo-de la Peña J, Ramírez-Hernández JA, Fernández-Ramos MT, González-Figueroa E, Champagne B. Body Fat Percentage Rather than Body Mass Index Related to the High Occurrence of Type 2 Diabetes. Arch Med Res 2020; 51:564-571. [PMID: 32482372 DOI: 10.1016/j.arcmed.2020.05.010] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 05/10/2020] [Accepted: 05/18/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Diabetes prevalence estimation and reduction of its risk factors remain the major goals of health services. While obesity is the major risk factor for diabetes, body fat distribution may be a better predictor. AIMS To estimate the prevalence of diabetes in an adult working population in Mexico City, and to evaluate the strength of association with different risk factors. METHODS A cross-sectional survey was conducted in two city halls of Mexico City. Anthropometrics, blood pressure, physical activity, diet, and biochemical parameters were assessed. Diabetes was defined as a fasting plasma glucose level ≥7.0 mmol/l or referred diabetes. The bioelectrical impedance analysis of body components was performed and weight, soft lean mass, body fat percentage and abdominal fat were obtained. Prevalence with 95% confidence intervals was estimated, as well as odds ratios derived from a logistic regression model. RESULTS The prevalence of type 2 diabetes was 11.0% (95% CI 9.6-12.4%). The proportion of individuals with diabetes who were unaware of having the disease was higher in women (42.5 vs. 36.9%), and the degree of metabolic control was better in women (39.1 vs. 25.0%). Age, blood pressure, triglycerides and the percentage of body fat, were major risk factors related to the occurrence of type 2 diabetes. No relation was observed with physical activity and diet. CONCLUSIONS The prevalence of type 2 diabetes in Mexico continues to be high and obesity measured by body fat percentage seems to be a better predictor of its occurrence than body mass index.
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Affiliation(s)
- Jorge Escobedo-de la Peña
- Unidad de Investigación en Epidemiología Clínica, Hospital Regional 1, Instituto Mexicano del Seguro Social, Ciudad de México, México.
| | - Jorge Alejandro Ramírez-Hernández
- Departamento de Historia y Filosofía de la Medicina, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, México; InterAmerican Heart Foundation Inc. and Healthy Latin American Coalition/Coalición Latinoamérica Saludable CLAS, Dallas, TX, USA
| | - María Teresa Fernández-Ramos
- InterAmerican Heart Foundation Inc. and Healthy Latin American Coalition/Coalición Latinoamérica Saludable CLAS, Dallas, TX, USA
| | - Evangelina González-Figueroa
- Unidad de Investigación en Epidemiología Clínica, Hospital Regional 1, Instituto Mexicano del Seguro Social, Ciudad de México, México
| | - Beatriz Champagne
- InterAmerican Heart Foundation Inc. and Healthy Latin American Coalition/Coalición Latinoamérica Saludable CLAS, Dallas, TX, USA
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Muñoz-Torres AV, Medina-Bravo P, Valerio-Pérez BE, Mendoza-Salmeron G, Escobedo-de la Peña J, Velázquez-López L. Positive health beliefs are associated with improvement of glycated hemoglobin and lipid profiles in Mexican patients with type 2 diabetes mellitus: a cross-sectional study. BMC Public Health 2020; 20:761. [PMID: 32448139 PMCID: PMC7245761 DOI: 10.1186/s12889-020-08866-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 05/07/2020] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Health beliefs are relevant to consider in patients with type 2 diabetes since disease control depends mainly on the patient's behaviour. The aim of this study was to assess the association between health beliefs and glycated hemoglobin levels in Mexican patients with type 2 diabetes. METHODS An analytical cross-sectional study was conducted, and 336 patients were included. Fasting blood levels of glycated hemoglobin, glucose, cholesterol; triglycerides, high-density lipoprotein cholesterol (HDL-c), and low-density lipoprotein cholesterol (LDL-c) were measured. Body fat percentage, weight, height; waist circumference, and systolic and diastolic blood pressures were also obtained. A previously validated self-administered questionnaire was used to assess the health beliefs with regards to non-pharmacological treatment. Health beliefs were classified as positive, neutral, and negative. RESULTS The average age of patients was 54.7 ± 8.5 years, with a higher proportion of females (69%). The questionnaire had a good internal consistency with a Cronbach's alpha score of 0.83. More than 90% of patients attributed a health benefit to diet and exercise, 30 to 40% experienced barriers, and more than 80% had a perception of complications associated to uncontrolled diabetes. Patients with positive health beliefs had lower HbA1c levels (8.2 ± 1.7%) compared to those with neutral (9.0 ± 2.3%), or negative (8.8 ± 1.8%; p = 0.042). The LDL-c levels were lower (p = 0.03), and HDL-c levels were higher (0.002) in patients with positive heath beliefs. CONCLUSIONS Positive health beliefs are associated with better metabolic control indicators in patients with type 2 diabetes.
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Affiliation(s)
- Abril Violeta Muñoz-Torres
- Department of Public Health, School of Medicine, National Autonomous University (Universidad Nacional Autónoma de Mexico, UNAM), Mexico City, Mexico
| | - Patricia Medina-Bravo
- Department of Endocrinology, “Federico Gómez” Children’s Hospital of Mexico, Ministry of Health (SSA), Mexico City, Mexico
| | | | - Grecia Mendoza-Salmeron
- Clinical Epidemiology Research Unit, “Carlos Mac Gregor Sánchez Navarro” Hospital, Mexican Social Security Institute (Instituto Mexicano del Seguro Social, IMSS), Mexico City, Mexico
| | - Jorge Escobedo-de la Peña
- Clinical Epidemiology Research Unit, “Carlos Mac Gregor Sánchez Navarro” Hospital, Mexican Social Security Institute (Instituto Mexicano del Seguro Social, IMSS), Mexico City, Mexico
| | - Lubia Velázquez-López
- Clinical Epidemiology Research Unit, “Carlos Mac Gregor Sánchez Navarro” Hospital, Mexican Social Security Institute (Instituto Mexicano del Seguro Social, IMSS), Mexico City, Mexico
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Aguila IPD, Velázquez-López L, Goycochea-Robles MAV, Angulo-Angulo F, Peña JEDL. [La educación multimedia como apoyo en el manejo de pacientes con diabetes tipo 2. Estudio cuasi experimental]. CIR CIR 2018; 86:404-411. [PMID: 30226499 DOI: 10.24875/ciru.18000119] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Objetivo Evaluar la eficacia de la educación a través de un sistema de información multimedia en el control del paciente con diabetes tipo 2. Método Ensayo clínico abierto aleatorizado. El grupo de intervención fue instruido para consultar una herramienta educativa multimedia en la sala de espera de los consultorios, misma que fue diseñada de acuerdo a las caracteristicas de la población y centrada en automonitoreo de indicadores, información sobre diabetes tipo 2 y nutrición. Se midieron en sangre venosa las concentraciones de glucosa, hemoglobina glucosilada (HbA1c), triglicéridos, colesterol total, colesterol ligado a lipoproteínas de alta densidad (HDL-c) y colesterol ligado a lipoproteínas de baja densidad. Con la t de Student pareada se evaluó el efecto de la intervención. Resultados Se incluyeron 2334 pacientes, 958 en el grupo de intervención y 1376 en el grupo control. Se observó en el grupo de intervención un incremento del HDL-c (de 40.45 a 47.40 mg/dl; p = 0.001) y una disminución de los triglicéridos (de 227.78 a 210.38 mg/dl; p = 0.001). En el grupo control disminuyeron los triglicéridos (de 232.64 a 210.84 mg/dl; p = 0.016). En ambos grupos se incrementó de forma significativa el colesterol total. No se observaron cambios en los valores de glucosa y HbA1c posterior a la intervención. Conclusión La implementación de un sistema de información multimedia mejora el HDL-c y los triglicéridos del paciente con diabetes. Se requiere un reforzamiento continuo de la intervención educativa por parte del profesional de la salud para incidir en el control glucémico y otros indicadores del control metabólico. Objective To evaluate the efficacy of education through a multimedia information system, in controlling patients with type 2 diabetes. Methods Randomized open clinical trial. The intervention group was trained to consult an educative multimedia tool in the waiting room, which was developed according to the population characteristics and centered on monitoring indicators, information on type 2 diabetes and nutrition. Venous blood concentrations of glucose, glycated hemoglobin (HbA1c), triglycerides, total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol were measured. Paired t Student was used to assess the effect of the intervention. Results 2,334 patients were included, 958 in the intervention group and 1,376 in the control group. In the intervention group, an increase in HDL-c values was observed (from 40.45 to 47.40 mg/dL; p=0.001) as well as a descent on triglycerides values (from 227.78 to 210.38 mg/dL; p=0.001). There was a reduction on triglycerides levels in the control group (from 232.64 to 210.84 mg/dL; p=0.016). There was a significative increase in total cholesterol values in both groups. There were no changes in the mean values of glucose and HbA1c after the intervention. Conclusion Implementation of a multimedia information system improves HDL-c and triglycerides in patients with diabetes. There is a need for a continuous reinforcement of the educative intervention by health professionals to improve glycemic and other indicators in metabolic control.
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Affiliation(s)
- Ignacio Pineda-Del Aguila
- Unidad de Investigación en Epidemiología Clínica, Hospital General Regional No. 1 Carlos Mac Gregor Sánchez Navarro, Instituto Mexicano del Seguro Social, Ciudad de México, México
| | - Lubia Velázquez-López
- Unidad de Investigación en Epidemiología Clínica, Hospital General Regional No. 1 Carlos Mac Gregor Sánchez Navarro, Instituto Mexicano del Seguro Social, Ciudad de México, México
| | - M A Victoria Goycochea-Robles
- Unidad de Investigación en Epidemiología Clínica, Hospital General Regional No. 1 Carlos Mac Gregor Sánchez Navarro, Instituto Mexicano del Seguro Social, Ciudad de México, México
| | - Fabiola Angulo-Angulo
- Unidad de Investigación en Epidemiología Clínica, Hospital General Regional No. 1 Carlos Mac Gregor Sánchez Navarro, Instituto Mexicano del Seguro Social, Ciudad de México, México
| | - Jorge Escobedo-de la Peña
- Unidad de Investigación en Epidemiología Clínica, Hospital General Regional No. 1 Carlos Mac Gregor Sánchez Navarro, Instituto Mexicano del Seguro Social, Ciudad de México, México
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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 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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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Velázquez-López L, Hernández-Sánchez R, Roy-García I, Muñoz-Torres AV, Medina-Bravo P, Escobedo-de la Peña J. Cardiometabolic Risk Indicators for Kidney Disease in Mexican Patients with Type 2 Diabetes. Arch Med Res 2018; 49:191-197. [DOI: 10.1016/j.arcmed.2018.08.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Accepted: 08/03/2018] [Indexed: 01/29/2023]
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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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Velázquez-López L, Muñoz-Torres AV, Medina-Bravo P, Vilchis-Gil J, Klϋnder-Klϋnder M, Escobedo-de la Peña J. Multimedia education program and nutrition therapy improves HbA1c, weight, and lipid profile of patients with type 2 diabetes: a randomized clinical trial. Endocrine 2017; 58:236-245. [PMID: 28921414 DOI: 10.1007/s12020-017-1416-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Accepted: 08/30/2017] [Indexed: 12/20/2022]
Abstract
PURPOSE To evaluate the effect of a multimedia education program and nutrition therapy on metabolic control in patients with type 2 diabetes. RESEARCH QUESTION What is the effect of a multimedia education program and nutritional therapy on metabolic control in type 2 diabetes? PATIENTS AND METHODS A randomized clinical trial was conducted in 351 patients randomly assigned to either an experimental group receiving a multimedia diabetes education program (MDE) and nutrition therapy (NT) (NT + MDE: n = 173), or to a control group who received nutrition therapy only (NT: n = 178). At baseline, 7, 14, and 21 months, the glycated hemoglobin (HbA1c), glucose, cholesterol, triglycerides, LDL-cholesterol, and HDL-cholesterol were measured. Weight, body mass index (BMI), waist circumference (WC), fat percentage, fat and lean mass, systolic blood pressure (SBP), and diastolic (DBP) were also recorded. RESULTS Glycated hemoglobin decreased in both groups, although the group with NT + MDE had a greater reduction, with a difference of -0.76% (95%CI -1.33 to -0.19) at 7 months and -0.73% (95%CI -1.37 to -0.09) at 21 months. Only in the NT + MDE did the glucose decrease at 7 (-41.2 mg/dL; 95%CI -52.0 to -30.5), 14 (-27.8 mg/dL; 95%CI -32.6 to -23.1), and 21 months (-36.6 mg/dL; 95%CI -46.6 to -26.6). Triglycerides and the atherogenic index decreased in both groups at 7 and 14 months; while only in the NT + MDE group did it decrease at 21 months. (p < 0.05). Weight decreased at 21 months in the NT + MDE group (-1.23, -2.29 at -0.16; p < 0.05). CONCLUSION Nutrition therapy and a multimedia diabetes education program have a favorable impact on achieving metabolic control goals in type 2 diabetes.
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Affiliation(s)
- Lubia Velázquez-López
- Unidad de Investigación en Epidemiología Clínica, Hospital "Carlos Mac Gregor Sánchez Navarro", Instituto Mexicano del Seguro Social (IMSS), México City, Mexico.
| | - Abril Violeta Muñoz-Torres
- Departamento de Salud Pública, Facultad de Medicina, Universidad Nacional Autónoma de México, México City, Mexico
| | - Patricia Medina-Bravo
- Departamento de Endocrinología, Hospital Infantil de México Federico Gómez, Secretaría de Salud (SSA), México City, Mexico
| | - Jenny Vilchis-Gil
- Subdirección de Investigación, Hospital Infantil de México Federico Gómez, Secretaría de Salud (SSA), México City, Mexico
| | - Miguel Klϋnder-Klϋnder
- Subdirección de Investigación, Hospital Infantil de México Federico Gómez, Secretaría de Salud (SSA), México City, Mexico
| | - Jorge Escobedo-de la Peña
- Unidad de Investigación en Epidemiología Clínica, Hospital "Carlos Mac Gregor Sánchez Navarro", Instituto Mexicano del Seguro Social (IMSS), México City, Mexico
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Buitrón-Granados LV, Martínez-López C, Escobedo-de la Peña J. Prevalence of Peripheral Arterial Disease and Related Risk Factors in an Urban Mexican Population. Angiology 2016; 55:43-51. [PMID: 14759089 DOI: 10.1177/000331970405500107] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Peripheral arterial disease (PAD) is a growing and often underdiagnosed health problem that predicts cardiovascular events and mortality. Estimating its prevalence in the general popula tion is a major issue for assessing health needs and planning health services. The aim of this study was to determine the prevalence of PAD and its risk factors in an urban Mexican popu lation. A random sample of 400 adult subjects was selected from a Family Medical Unit of the Mexican Institute of the Social Security. Clinical examination was performed and a question naire was applied to all subjects. After an overnight fast, serum glucose, triglyceride, and cholesterol concentrations were measured. Blood pressure was taken and the ankle-brachial index (ABI) was calculated by Doppler examination in both sides. PAD was diagnosed if one of the ABIs was less than 0.90. Prevalence was estimated with 95% confidence intervals (CI95%), and odds ratios (OR) with CI95% were obtained to assess association with some atherogenic risk factors in a multiple logistic regression analysis. The prevalence of PAD was 10.0% (CI95%, 7.24%-13.37%), and it was higher in men. Most subjects with PAD had no signs or symptoms, although the presence of either signs or symptoms was more frequent in subjects with PAD. The main risk factors related to PAD were serum triglycerides ≥150 mg/dL (OR 2.25; CI95% 1.0-5.1), heavy smoking (OR 2.5; CI95% 0.9-6.7) and a history of diabetes mellitus for longer than 7 years (OR 1.9; CI95% 0.6-5.8). The prevalence of PAD is high in this Mexican urban population. Asymptomatic PAD may be highly frequent, and low-cost, noninvasive Doppler ultrasonography should be considered as an adequate screening procedure in primary care to detect individuals at high risk for major cardiovascular events.
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Velázquez-López L, Muñoz-Torres AV, García-Peña C, López-Alarcón M, Islas-Andrade S, Escobedo-de la Peña J. Fiber in Diet Is Associated with Improvement of Glycated Hemoglobin and Lipid Profile in Mexican Patients with Type 2 Diabetes. J Diabetes Res 2016; 2016:2980406. [PMID: 27144178 PMCID: PMC4842057 DOI: 10.1155/2016/2980406] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2015] [Revised: 02/26/2016] [Accepted: 03/21/2016] [Indexed: 12/23/2022] Open
Abstract
Objective. To assess the association of dietary fiber on current everyday diet and other dietary components with glycated hemoglobin levels (HbA1c), glucose, lipids profile, and body weight body weight, in patients with type 2 diabetes. Methods. A cross-sectional survey of 395 patients with type 2 diabetes was performed. HbA1c, fasting glucose, triglycerides, and lipids profile were measured. Weight, waist circumference, blood pressure, and body composition were measured. Everyday diet with a semiquantitative food frequency questionnaire was evaluated. ANOVA, Kruskal-Wallis, chi-square tests and multivariate logistic regression were used in statistical analysis. Results. Higher fiber intake was associated with a low HbA1c, high HDL-c levels, low weight, and waist circumference. The highest tertile of calories consumption was associated with a higher fasting glucose level and weight. The highest tertile of carbohydrate consumption was associated with a lower weight. The lowest tertile of total fat and saturated fat was associated with the highest tertile of HDL-c levels, and lower saturated fat intake was associated with lower weight (p < 0.05). Conclusions. A higher content of fiber in the diet reduces HbA1c and triglycerides, while improving HDL-c levels. Increasing fiber consumption while lowering calorie consumption seems to be an appropriate strategy to reduce body weight and promote blood glucose control.
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Affiliation(s)
- Lubia Velázquez-López
- Unidad de Investigación en Epidemiología Clínica, Hospital “Carlos MacGregor Sánchez Navarro”, Instituto Mexicano del Seguro Social, Avenida Gabriel Mancera No. 222, Colonia del Valle, Delegación Bénito Juárez, 03100 Ciudad de México, Mexico
| | - Abril Violeta Muñoz-Torres
- Departamento de Salud Pública, Facultad de Medicina, Universidad Nacional Autónoma de México, 6 Piso, Edificio B, Circuito Interior, Ciudad Universitaria, Avenida Universidad 3000, Ciudad de México, Mexico
| | - Carmen García-Peña
- Departamento de Investigación, Instituto Nacional de Geriatría, Periférico sur No. 2767, Colonia San Jerónimo Lídice, Delegación Magdalena Contreras, 10200 Ciudad de México, Mexico
| | - Mardia López-Alarcón
- Unidad de Investigación Médica en Nutrición, Hospital de Pediatría, Centro Medico Nacional “Siglo XXI”, Instituto Mexicano del Seguro Social, Avenida Cuauhtémoc 300, Colonia Doctores, Delegación Cuauhtemoc, 06720 Ciudad de México, Mexico
| | - Sergio Islas-Andrade
- Unidad de Investigación Científica de Endocrinología, Diabetes y Metabolismo, y de Enfermedades Metabólicas, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Avenida Cuauhtémoc 300, Colonia Doctores, Delegación Cuauhtemoc, 06720 Ciudad de México, Mexico
| | - Jorge Escobedo-de la Peña
- Unidad de Investigación en Epidemiología Clínica, Hospital “Carlos MacGregor Sánchez Navarro”, Instituto Mexicano del Seguro Social, Avenida Gabriel Mancera No. 222, Colonia del Valle, Delegación Bénito Juárez, 03100 Ciudad de México, Mexico
- *Jorge Escobedo-de la Peña:
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Escobedo-de la Peña J, de Jesús-Pérez R, Schargrodsky H, Champagne B. [Prevalence of dyslipidemias in Mexico city and Its relation to other cardiovascular risk factors. Results from the CARMELA study]. GAC MED MEX 2014; 150:128-136. [PMID: 24603993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023] Open
Abstract
OBJECTIVE To estimate the prevalence of dyslipidemias in Mexico city and its relation to other cardiovascular risk factors. METHODS A cross sectional study was conducted to measure cardiovascular risk factors in Mexico City. All subjects were interviewed and anthropometric measures performed, as well as cholesterol, high-density lipoproteins (HDL-C) and triglycerides. Low-density lipoprotein (LDL-C) values were calculated. Means- as well as dyslipidemia-weighted prevalence were measured, with 95% confidence intervals. RESULTS 833 males and 889 females were studied. The prevalence of cholesterol ≥ 240 mg/dl was 16.4% (95% CI: 14.2-18.7), and 34.1% (95% CI: 31.6-36.5) had values between 200 and 240 mg/dl. Very high values of triglycerides were seen in 2.6% of studied subjects and 29.9% (95% CI: 26.9-32.8) had high values. The prevalence of hypertriglyceridemia was higher in males (43.3%) than females (23%). Mean values of assessed parameters were in general higher in those with other cardiovascular risk factors. CONCLUSIONS Lipid values in the population of Mexico City are high and so is the prevalence of dyslipidemias. There is an urgent need to implement health policies directed to diminish cardiovascular risk factors, mainly dyslipidemias.
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Affiliation(s)
- Jorge Escobedo-de la Peña
- Unidad de Investigación en Epidemiología Clínica Gabriel Mancera, Hospital Regional 1 Carlos MacGregor Sánchez-Navarro, Instituto Mexicano del Seguro Social, México, D.F.
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Velázquez-López L, González-Figueroa E, Medina-Bravo P, Pineda-Del Aguila I, Avila-Jiménez L, Ramos-Hernández R, Klunder-Klunder M, Escobedo-de la Peña J. Low calorie and carbohydrate diet: to improve the cardiovascular risk indicators in overweight or obese adults with prediabetes. Endocrine 2013; 43:593-602. [PMID: 22941424 DOI: 10.1007/s12020-012-9775-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2012] [Accepted: 08/01/2012] [Indexed: 12/15/2022]
Abstract
Our objective was to evaluate the effects of a moderate calorie and carbohydrate-restricted diet on cardiovascular risk indicators in overweight or obese patients with prediabetes. A clinical trial was conducted in which 86 subjects presenting with overweight or obesity and prediabetes received a personalized diet of 1,200 to 1,700 calories with a distribution of 50 % carbohydrates, 20 % proteins, and 30 % fat. Body weight, fat mass, and lean mass were measured through bioimpedance. Glucose, total cholesterol, high density lipoprotein cholesterol and low density cholesterol, and triglycerides were measured. The measurements were taken at the beginning of, and at, 6 and 12 months during the intervention, and the differences were compared by paired Student's t and χ(2) tests. At 12 months, a significant reduction was noticed in body weight in patients with overweight and obesity (72.4 ± 7.8-69.6 ± 7.5 kg) (85.7 ± 14.8-80.2 ± 12.7 kg) with body mass index (28.2 ± 0.8-27.2 ± 2.1 kg/m(2)) (34.3 ± 3.5-32.1 ± 3.2 kg/m(2)), systolic (120.9 ± 14.2-112.4 ± 11.5 mmHg) (124.1 ± 11.9-115.7 ± 14.0 mmHg), diastolic blood pressures (79.0 ± 9.3-71.8 ± 8.3 mmHg) (80.4 ± 9.0-73.7 ± 13.1 mmHg), glucose (106.0 ± 8.9-95.9 ± 7.5 mg/dL) (107.3 ± 7.0-97.0 ± 8.2 mg/dL), and significant improvement on lipid profile (p < 0.05). The restrictions in the calorie and carbohydrate diet decrease the cardiovascular risk indicators in overweight or obese adults with prediabetes.
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Affiliation(s)
- Lubia Velázquez-López
- Clinical Epidemiology Research Unit, Hospital General de Zona Carlos MacGregor Sánchez-Navarro, Mexican Social Security Institute, Mexico, DF, Mexico.
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Castro-Martínez MG, Banderas-Lares DZ, Ramírez-Martínez JC, Escobedo-de la Peña J. Prevalence of nonalcoholic fatty liver disease in subjects with metabolic syndrome. CIR CIR 2012; 80:128-133. [PMID: 22644007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
BACKGROUND Nonalcoholic fatty liver disease (NAFLD) is the main cause of chronic liver disease. Metabolic syndrome (MetS) is an important predictor of NAFLD. Due to the increase of MetS in Mexico, a population-based cross-sectional study was conducted to estimate the prevalence of NAFLD. METHODS One hundred ninety eight subjects with MetS were randomly selected from 1006 subjects and were invited to participate in the estimation of the prevalence of NAFLD. MetS was diagnosed following the criteria of the National Cholesterol Education Program (ATPIII-NCEP). Abdominal ultrasound was performed and left, right and caudate lobes were assessed according to size, echogenicity and hepatic borders. NAFLD was classified as mild, moderate and severe according to its echogenicity and visualization of the diaphragm and intrahepatic vessel borders. Prevalence of NAFLD was estimated with 95% confidence intervals (95% CI). RESULTS Included in the study were 122 males (63.2%) and 71 females (36.8%). Prevalence of NAFLD was 82.9% (95% CI 77.6-88.2%). Prevalence was higher in males (p = 86.9%; 95% CI 80.9-92.9%) than in females (p = 76.1%; 95% CI 66.1-86.0%). There were no age differences. A higher proportion of patients had mild (52.3%) or moderate (22.3%) NAFLD and in only 16 patients was NAFLD severe (8.3%). CONCLUSIONS The observed prevalence is alarming because 8/10 subjects with MetS had NAFLD in any stage. Health-related measures oriented to decrease the incidence of the MetS will have a favorable impact on the occurrence of NAFLD.
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Escobedo-de la Peña J, Buitrón-Granados LV, Ramírez-Martínez JC, Chavira-Mejía R, Schargrodsky H, Champagne BM. Diabetes in Mexico. CARMELA study. CIR CIR 2011; 79:424-431. [PMID: 22385762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
BACKGROUND Diabetes has demonstrated an epidemic behavior in Mexico, which is among the top countries with the highest number of patients with diabetes. The objective of this study was to estimate the prevalence of type 2 diabetes in Mexico City and its relation with some cardiovascular risk factors. METHODS A cross-sectional study was conducted. A total of 1,772 adults of both genders, aged 25 to 64 years, were randomly selected. Type 2 diabetes and impaired fasting glucose prevalence were estimated as well as its relation with some cardiovascular risk factors such as hypertension, dyslipidemia, obesity, abdominal obesity and the common carotid artery intima-media thickness. RESULTS The prevalence of type 2 diabetes was 9.7% in women and 8.0% in men. An age effect was evident. The proportion of patients who were unaware of having diabetes was 26%. The main risk factors related to diabetes were age, abdominal obesity, hypertension, low high-density cholesterol lipoproteins (HDL-c) and hypertriglyceridemia. Metabolic control was low. CONCLUSIONS Prevalence of type 2 diabetes in Mexico is high and is a major health problem. Its close relation with cardiovascular risk factors demand health policies aimed to diminish risk factors related to its occurrence.
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Affiliation(s)
- Jorge Escobedo-de la Peña
- Unidad de Investigación en Epidemiología Clínica, Hospital Regional, Instituto Mexicano del Seguro Social, México, D. F., Mexico.
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Valladares-Salgado A, Angeles-Martínez J, Rosas M, García-Mena J, Utrera-Barillas D, Gómez-Díaz R, Escobedo-de la Peña J, Parra EJ, Cruz M. Association of polymorphisms within the transforming growth factor-β1 gene with diabetic nephropathy and serum cholesterol and triglyceride concentrations. Nephrology (Carlton) 2011; 15:644-8. [PMID: 20883286 DOI: 10.1111/j.1440-1797.2010.01302.x] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
AIM The TGF-β gene participates in the development of chronic kidney disease. We investigated whether the 869 T > C, 915 G > C and -800 G > A polymorphisms of TGF-β1 are associated with diabetic nephropathy (DN). METHODS Polymorphisms were genotyped in 439 type 2 diabetes mellitus patients, 233 with diabetic nephropathy (DN+) and 206 without (DN-). The sample was characterized for relevant clinical and biochemical parameters. RESULTS The 869 T > C (P = 0.016; odds ratio (OR) = 1.818, 95% confidence interval (CI) = 1.128-2.930) and the 915 G > C polymorphisms (P = 0.008, OR = 4.073, 95% CI = 1.355-12.249) were associated with diabetic nephropathy. The 869 T > C variant was associated with total cholesterol levels: CC + CT genotypes had a mean cholesterol concentration of 5.62 ± 1.40 mmol/L vs a mean concentration of 5.15 ± 1.40 mmol/L for the TT genotype (P = 0.011). Triglycerides were also higher in CC + CT genotypes (2.49 ± 1.56 mmol/L) in comparison with TT homozygotes (2.1 ± 1.22 mmol/L, P = 0.042). Multivariate logistic regression showed that the polymorphisms 869 T > C and 915 G > C were independent predictors for DN (P = 0.049 and 0.046, respectively). CONCLUSION The 869 T > C and 915 G > C polymorphisms within the TGF-β1 gene were associated with DN+. Lower cholesterol and triglycerides levels were observed in TT homozygotes for the 869 T > C polymorphism. The TGF-β1 869 T allele seems to confer protection against DN+.
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Affiliation(s)
- Adán Valladares-Salgado
- Siglo XXI National Medical Centre, Dr Carlos McGregor Sánchez Regional General Hospital, IMSS, México D.F., Mexico.
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Escobedo-de la Peña J, Rodríguez-Ábrego G, Buitrón-Granados LV. [Coronary heart disease morbidity and mortality trends at the Instituto Mexicano del Seguro Social. An ecological study of trends]. Arch Cardiol Mex 2010; 80:242-248. [PMID: 21169088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/30/2023] Open
Abstract
OBJECTIVE To analyze secular trends of coronary heart disease morbidity and mortality in Mexicans protected by the Mexican Institute of Social Security. METHODS An ecological trend analysis study was conducted on coronary heart disease morbidity and mortality in the Mexican population protected by the Institute. All deaths were adjusted for miscoding and misclasification and rates were age - adjusted according to the age distribution proposed by the World Health Organization. Hospital discharges, as well as the number of patients seeking medical care for coronary heart disease, were analyzed as an indirect incidence measure. Fatality rates and the mean number of hospitalization days were also estimated. RESULTS Coronary heart disease mortality has shown a stable trend at the end of last century and a descending trend in the in the first year of this century, both in males (r=0.84;r2=0.70; p <0.001) as in females (r = -0.76; r2 =0.57; p <0.001). There is an age-effect on mortality; mortality is higher in males, mainly at younger ages (male-female rate = 3.44). Fatality rates have progressively decreased and the mean age of death has increased by four years in the last two decades. CONCLUSIONS The stable trend and later descent on coronary heart disease mortality may be best explained by an increase in the quality of health care and secondary prevention. Nevertheless, there is a need to strengthen primary prevention by modifying exposure to major cardiovascular risk factors in Mexicans.
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Affiliation(s)
- Jorge Escobedo-de la Peña
- Unidad de Investigación en Epidemiología Clínica, Hospital Regional N° 1 Carlos MacGregor Sánchez Navarro, Instituto Mexicano del Seguro Social, México, DF
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Acosta-Cázares B, Escobedo-de la Peña J. High burden of cardiovascular disease risk factors in Mexico: An epidemic of ischemic heart disease that may be on its way? Am Heart J 2010; 160:230-6. [PMID: 20691826 DOI: 10.1016/j.ahj.2010.05.016] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2010] [Accepted: 05/06/2010] [Indexed: 11/17/2022]
Abstract
BACKGROUND Whereas developed nations have witnessed a drop in the occurrence and mortality of ischemic heart disease, developing nations have recorded a constant rise. The burden of cardiovascular disease risk factors may explain this increase. METHODS We conducted a population-based cross-sectional survey to estimate the prevalence of cardiovascular risk factors in the population protected by the Mexican Social Security Institute. A total of 20,062 Mexicans, aged >or=20 years, 43.5% (8,727) male and 56.5% (11,335) female, randomly selected in a 4-stage stratified population-based sampling process were included. RESULTS The most prevalent cardiovascular risk factor in men was smoking (31.9%), whereas in women, it was obesity (26.6%) and central obesity (49.7%). A similar high age-adjusted prevalence was observed in women and men for hypertension (29.7% and 28.8%), diabetes (12.94% and 12.66%), and hypercholesterolemia (13.81% and 12.36%). There was a clear age effect on the prevalence of diabetes, hypertension, and hypercholesterolemia, with increasing prevalence with aging. Smoking also had an age effect, but its prevalence increases as age diminishes. More than half of the subjects in reproductive age (20-44 years old) have at least 1 cardiovascular risk factor, mainly smoking. CONCLUSIONS Cardiovascular risk factors are highly prevalent in the Mexican population, which seems to be between the second and third stages of the tobacco epidemic. The increased prevalence of risk factors clustering indicates the need for comprehensive integrated management of cardiovascular risk factors in Mexicans, with special emphasis on individuals at younger ages.
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Coronado-González JA, Del Razo LM, García-Vargas G, Sanmiguel-Salazar F, Escobedo-de la Peña J. Inorganic arsenic exposure and type 2 diabetes mellitus in Mexico. Environ Res 2007; 104:383-9. [PMID: 17475235 DOI: 10.1016/j.envres.2007.03.004] [Citation(s) in RCA: 110] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2006] [Revised: 03/12/2007] [Accepted: 03/22/2007] [Indexed: 05/15/2023]
Abstract
Inorganic arsenic exposure in drinking water has been recently related to diabetes mellitus. To evaluate this relationship the authors conducted in 2003, a case-control study in an arseniasis-endemic region from Coahuila, a northern state of Mexico with a high incidence of diabetes. The present analysis includes 200 cases and 200 controls. Cases were obtained from a previous cross-sectional study conducted in that region. Diagnosis of diabetes was established following the American Diabetes Association criteria, with two fasting glucose values > or = 126 mg/100 ml (> or = 7.0 mmol/l) or a history of diabetes treated with insulin or oral hypoglycemic agents. The next subject studied, subsequent to the identification of a case in the cross-sectional study was taken as control. Inorganic arsenic exposure was measured through total arsenic concentrations in urine, measured by hydride-generation atomic absorption spectrophotometry. Subjects with intermediate total arsenic concentration in urine (63.5-104 microg/g creatinine) had two-fold higher risk of having diabetes (odds ratio=2.16; 95% confidence interval: 1.23, 3.79), but the risk was almost three times greater in subjects with higher concentrations of total arsenic in urine (odds ratio=2.84; 95% confidence interval: 1.64, 4.92). This data provides additional evidence that inorganic arsenic exposure may be diabetogenic.
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Affiliation(s)
- José Antonio Coronado-González
- Clinical Epidemiologic Research Unit, General Regional Hospital 1 Gabriel Mancera, Mexican Institute of the Social Security, México, D.F., México
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Zonana-Nacach A, Rodríguez-Guzmán LM, Jiménez-Balderas FJ, Camargo-Coronel A, Escobedo-de la Peña J, Fraga A. Factores de riesgo relacionados con lupus eritematoso sistémico en población mexicana. Salud pública Méx 2002. [DOI: 10.1590/s0036-36342002000300004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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Zonana-Nacach A, Rodríguez-Guzmán LM, Jiménez-Balderas FJ, Camargo-Coronel A, Escobedo-de la Peña J, Fraga A. [Risk factors associated with systemic lupus erythematosis in a Mexican population]. Salud Publica Mex 2002; 44:213-8. [PMID: 12132318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023] Open
Abstract
OBJECTIVE To assess risk factors associated with systemic lupus erythematosus (SLE) in the Mexican population. MATERIAL AND METHODS A case-control study was conducted on June 1996, at the Reumathology Clinic of Hospital de Especialidades del Centro Médico Nacional Siglo XXI (HE CMN), Instituto Mexicano del Seguro Social, in Mexico City. Cases were one hundred thirty subjects with four or more SLE criteria and disease evolution of +/- 5 years. Controls were hospitalized patients with acute diseases but without autoimmune diseases. Cases and controls were matched 1:1 by age and gender; both groups were evaluated by direct interview through a structured questionnaire. The following risk factors were assessed: genetic family history of SLE and connective tissue disease; socioedemographic (ethnicity, geographic distribution, education, monthly income); hormonal (use of oral contraceptives, replacement therapy and gynecoobstetric background); environmental (use of hair products, living with dogs, bacterial/viral infections, and allergies). Statistical analysis consisted of odd ratios (OR) with 95% confidence intervals (CI) and multivariate analysis using logistic regression. RESULTS The multivariate model showed association with family history of SLE (OR 4.2, CI 95% 1.17-15.2), family history of connective tissue disorder (OR 2.6, CI 95% 1.15-4.5), use of oral contraceptives for more than one year (OR 2.1, CI 95% 1.13-4.3), repetitive pharyngitis (OR 2.1, CI 95% 1.18-3.6), and use of medications (OR 5.0 IC 95% 1.62-21.6). No association was found with socieconomic status, hair dye products, asthma, or allergies. CONCLUSIONS Genetic factors, such as family history of SLE and connective tissue disease in first-degree relatives, persist as important factors in the development of SLE. Other factors, such as use of some drugs, oral contraceptives, and repetitive pharyngitis, may also favor the onset of disease in genetically susceptible hosts. The English version of this paper is available at: http://www.insp.mx/salud/index.html.
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Affiliation(s)
- Abraham Zonana-Nacach
- Departamento de Reumatología, Hospital de Especialidades Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social (IMSS), México D.F., México.
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Morales-García JIDLC, Fernández-Gárate IH, Tudón-Garcés H, Escobedo-de la Peña J, Zárate-Aguilar A, Madrazo-Navarro M. Prevalencia de consumo riesgoso y dañino de alcohol en derechohabientes del Instituto Mexicano del Seguro Social. Salud pública Méx 2002. [DOI: 10.1590/s0036-36342002000200005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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de la Cruz Morales-García JI, Fernández-Gárate IH, Tudón-Garcés H, Escobedo-de la Peña J, Zárate-Aguilar A, Madrazo-Navarro M. [Prevalence of hazardous and harmful consumption of alcohol in the insured population of the Mexican Social Security Institute]. Salud Publica Mex 2002; 44:113-21. [PMID: 12053777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023] Open
Abstract
OBJECTIVE To estimate the prevalence of hazardous and harmful alcohol consumption among the insured population of Instituto Mexicano del Seguro Social (Mexican Social Security Institute, IMSS). MATERIAL AND METHODS A cross-sectional survey was conducted in 45,117 insured subjects from Mexico's 36 political districts; study subjects were interviewed using a structured and self-applied questionnaire on alcohol consumption, using the ten-item screening instrument AUDIT (Alcohol Use Disorder Identification Test). The first three questions refer to the amount and frequency of drinking, the following three question to alcohol dependence, and the last four to alcohol-related problems. Each item has three to five options and each is scored progressively from zero to four. The prevalence of alcohol consumption was estimated with 95% confidence intervals. RESULTS The prevalence of problem drinkers (hazardous and harmful) was 12.8% (IC 95% 12.5-13.2); it was higher in men (22.2%; IC 95% 21.7-22.8) than in women (3.4%; IC 95% 3.1-3.6). An age effect was observed in men, while in women alcohol consumption was more homogeneous. In both genders consumption was higher in productive-age groups. CONCLUSIONS The prevalence of hazardous and harmful alcohol consumption is high in the insured population of the IMSS in Mexico. There is a need to implement health policies and health programs to diminish this serious health problem. The English version of this paper is available at: http://www.insp.mx/salud/index.html.
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