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Dugas LR, Kliethermes S, Plange-Rhule J, Tong L, Bovet P, Forrester TE, Lambert EV, Schoeller DA, Durazo-Arvizu RA, Shoham DA, Cao G, Brage S, Ekelund U, Cooper RS, Luke A. Accelerometer-measured physical activity is not associated with two-year weight change in African-origin adults from five diverse populations. PeerJ 2017; 5:e2902. [PMID: 28133575 PMCID: PMC5251933 DOI: 10.7717/peerj.2902] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Accepted: 12/12/2016] [Indexed: 12/20/2022] Open
Abstract
Background Increasing population-levels of physical activity (PA) is a controversial strategy for managing the obesity epidemic, given the conflicting evidence for weight loss from PA alone per se. We measured PA and weight change in a three-year prospective cohort study in young adults from five countries (Ghana, South Africa, Jamaica, Seychelles and USA). Methods A total of 1,944 men and women had baseline data, and at least 1 follow-up examination including measures of anthropometry (weight/BMI), and objective PA (accelerometer, 7-day) following the three-year study period. PA was explored as 1-minute bouts of moderate and vigorous PA (MVPA) as well as daily sedentary time. Results At baseline; Ghanaian and South African men had the lowest body weights (63.4 ± 9.5, 64.9 ± 11.8 kg, respectively) and men and women from the USA the highest (93.6 ± 25.9, 91.7 ± 23.4 kg, respectively). Prevalence of normal weight ranged from 85% in Ghanaian men to 29% in USA men and 52% in Ghanaian women to 15% in USA women. Over the two-year follow-up period, USA men and Jamaican women experienced the smallest yearly weight change rate (0.1 ± 3.3 kg/yr; −0.03 ± 3.0 kg/yr, respectively), compared to South African men and Ghanaian women greatest yearly change (0.6.0 ± 3.0 kg/yr; 1.22 ± 2.6 kg/yr, respectively). Mean yearly weight gain tended to be larger among normal weight participants at baseline than overweight/obese at baseline. Neither baseline MVPA nor sedentary time were associated with weight gain. Using multiple linear regression, only baseline weight, age and gender were significantly associated with weight gain. Discussion From our study it is not evident that higher volumes of PA alone are protective against future weight gain, and by deduction our data suggest that other environmental factors such as the food environment may have a more critical role.
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Affiliation(s)
- Lara R Dugas
- Public Health Sciences, Stritch School of Medicine, Loyola University Chicago , Maywood , IL , United States
| | - Stephanie Kliethermes
- Department of Orthopedics & Rehabilitation, University of Wisconsin, Madison , Madison , WI , United States
| | - Jacob Plange-Rhule
- Department of Physiology, Kwame Nkrumah University of Science and Technology , Kumasi , Ghana
| | - Liping Tong
- Public Health Sciences, Stritch School of Medicine, Loyola University Chicago , Maywood , IL , United States
| | - Pascal Bovet
- Institute of Social & Preventive Medicine, Lausanne University Hospital, Lausanne, VD, Switzerland; Ministry of Health, Victoria, Republic of Seychelles
| | - Terrence E Forrester
- Solutions for Developing Countries, University of West Indies, Mona , Kingston , Jamaica
| | - Estelle V Lambert
- Division of Exercise Science and Sports Medicine, Health Sciences, University of Cape Town , Cape Town , South Africa
| | - Dale A Schoeller
- Nutritional Sciences, University of Wisconsin, Madison , Madison , WI , United States
| | - Ramon A Durazo-Arvizu
- Public Health Sciences, Stritch School of Medicine, Loyola University Chicago , Maywood , IL , United States
| | - David A Shoham
- Public Health Sciences, Stritch School of Medicine, Loyola University Chicago , Maywood , IL , United States
| | - Guichan Cao
- Public Health Sciences, Stritch School of Medicine, Loyola University Chicago , Maywood , IL , United States
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge , Cambridge , United Kingdom
| | - Ulf Ekelund
- MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom; Department of Sport Medicine, Norwegion School of Sport Sciences, Oslo, Norway
| | - Richard S Cooper
- Public Health Sciences, Stritch School of Medicine, Loyola University Chicago , Maywood , IL , United States
| | - Amy Luke
- Public Health Sciences, Stritch School of Medicine, Loyola University Chicago , Maywood , IL , United States
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Stensel DJ, King JA, Thackray AE. Role of physical activity in regulating appetite and body fat. NUTR BULL 2016. [DOI: 10.1111/nbu.12234] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Affiliation(s)
- D. J. Stensel
- School of Sport; Exercise and Health Sciences; Loughborough University; Leicestershire UK
| | - J. A. King
- School of Sport; Exercise and Health Sciences; Loughborough University; Leicestershire UK
| | - A. E. Thackray
- School of Sport; Exercise and Health Sciences; Loughborough University; Leicestershire UK
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Abstract
Despite billions of dollars spent over decades of research, debate remains over the causes and solutions of the obesity epidemic. The specific role of physical activity in the prevention or treatment of obesity seems a particularly contentious issue, with opposing views put forth in both academic and popular media. In an attempt to provide context and clarity to the specific question of the role of physical activity in determination of body weight, we have attempted to identify evidence or lack thereof in the scientific literature and provide a summary of our findings. Areas covered: Topics included in this narrative review are an overview of energy balance, the relationship between physical activity and energy expenditure, compensatory responses in non-exercise energy expenditure and energy intake, and the relationship between physical activity and obesity. Expert commentary: Based on a review of the existing literature, daily physical activity and structured exercise has beneficial effects on an individual's body weight. In most instances, exercise occurring in adequate amounts will increase total daily energy expenditure and create an acute energy deficit, without compensatory decreases in non-exercise physical activity or energy expenditure nor compensatory increases in energy intake. Several gaps in the literature exist, both in terms of the number of adequately powered clinical trials with rigorous assessments of both energy intake and expenditure, and with a variety of study populations (by age, sex, race, etc.) and with varying exercise volumes and intensities.
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Affiliation(s)
- Robin P Shook
- a Department of Kinesiology , Iowa State University , Ames , IA , USA
- b Department of Pediatrics , Children's Mercy Hospital , Kansas City , MO , USA
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Cebrecos A, Díez J, Gullón P, Bilal U, Franco M, Escobar F. Characterizing physical activity and food urban environments: a GIS-based multicomponent proposal. Int J Health Geogr 2016; 15:35. [PMID: 27716312 PMCID: PMC5050955 DOI: 10.1186/s12942-016-0065-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Accepted: 09/28/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Healthier urban environments influence the distribution of cardiovascular risk factors. Our aim was to design and implement a multicomponent method based on Geographic Information Systems to characterize and evaluate environmental correlates of obesity: the food and the physical activity urban environments. METHODS Study location comprised a socio-demographically average urban area of 12 contiguous census sections (≈16,000 residents), in Madrid, Spain. We conducted on-field audits on all food stores and street segments. We designed a synthetic index integrating continuous measures of both environments, by kernel density analyses. Index ranges from 0 to 100 (least-most healthy). RESULTS We found a heterogeneous distribution with 75 and 50 % of the area scoring less than 36.8 and 25.5, respectively. Census sections of study area were categorized by Jenks intervals as high, medium-high, medium-low and low. 41.0 % of residents lived in an area with a low score, 23.6 % medium-low and 31.1 % medium-high and 4.2 % in a high. CONCLUSION The proposed synthetic index may be a relevant tool to inform urban health interventions, providing a feasible way to integrate different measures of barriers and facilitators of healthy urban environments in terms of food and physical activity.
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Affiliation(s)
- Alba Cebrecos
- Social and Cardiovascular Epidemiology Research Group, School of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain.,Department of Geology, Geography and Environmental Sciences, University of Alcalá, Calle Colegios 2, 28801, Alcalá de Henares, Madrid, Spain
| | - Julia Díez
- Social and Cardiovascular Epidemiology Research Group, School of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain
| | - Pedro Gullón
- Social and Cardiovascular Epidemiology Research Group, School of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain.,Escuela Nacional de Sanidad, Instituto de Salud Carlos III, Madrid, Spain
| | - Usama Bilal
- Social and Cardiovascular Epidemiology Research Group, School of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Manuel Franco
- Social and Cardiovascular Epidemiology Research Group, School of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Francisco Escobar
- Social and Cardiovascular Epidemiology Research Group, School of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain. .,Department of Geology, Geography and Environmental Sciences, University of Alcalá, Calle Colegios 2, 28801, Alcalá de Henares, Madrid, Spain.
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Abstract
What can be done to reduce unhealthy eating among adolescents? It was hypothesized that aligning healthy eating with important and widely shared adolescent values would produce the needed motivation. A double-blind, randomized, placebo-controlled experiment with eighth graders (total n = 536) evaluated the impact of a treatment that framed healthy eating as consistent with the adolescent values of autonomy from adult control and the pursuit of social justice. Healthy eating was suggested as a way to take a stand against manipulative and unfair practices of the food industry, such as engineering junk food to make it addictive and marketing it to young children. Compared with traditional health education materials or to a non-food-related control, this treatment led eighth graders to see healthy eating as more autonomy-assertive and social justice-oriented behavior and to forgo sugary snacks and drinks in favor of healthier options a day later in an unrelated context. Public health interventions for adolescents may be more effective when they harness the motivational power of that group's existing strongly held values.
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Karnani A, McFerran B, Mukhopadhyay A. The Obesity Crisis as Market Failure: An Analysis of Systemic Causes and Corrective Mechanisms. ACTA ACUST UNITED AC 2016. [DOI: 10.1086/686244] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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57
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Wiklund P. The role of physical activity and exercise in obesity and weight management: Time for critical appraisal. JOURNAL OF SPORT AND HEALTH SCIENCE 2016; 5:151-154. [PMID: 30356545 PMCID: PMC6188737 DOI: 10.1016/j.jshs.2016.04.001] [Citation(s) in RCA: 114] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Revised: 03/01/2016] [Accepted: 03/21/2016] [Indexed: 05/12/2023]
Abstract
The prevalence of overweight and obesity has increased dramatically during last 3 decades with devastating consequences to public health. Recommended strategies to reduce obesity have focused on healthier diet and physical activity (PA). Clearly, these approaches have not been successful, but whether this is due to failure to restrict energy intake or to maintain high levels of energy expenditure has been the subject of great controversy. Consequently, there has been a great deal of confusion about the role of PA and exercise in obesity and weight management. In this article, the theoretical basis for considering reduced PA and energy expenditure as the cause of obesity is appraised. Further, the role of PA in food intake and weight control is examined. The idea that obesity is caused by consistent decline in daily energy expenditure is not supported either by objective measures of energy expenditure or physiological theory of weight gain alone. However, since voluntary exercise is the most important discretionary component of total daily energy expenditure, it can affect energy balance. Therefore, PA and exercise hold potential as part of the solution for the ongoing obesity epidemic.
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58
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Pavey TG, Peeters GMEEG, Gomersall SR, Brown WJ. Long-term Effects of Physical Activity Level on Changes in Healthy Body Mass Index Over 12 Years in Young Adult Women. Mayo Clin Proc 2016; 91:735-44. [PMID: 27143482 DOI: 10.1016/j.mayocp.2016.03.008] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Revised: 02/18/2016] [Accepted: 03/04/2016] [Indexed: 11/27/2022]
Abstract
OBJECTIVES To examine the effects of overall level and timing of physical activity (PA) on changes from a healthy body mass index (BMI) category over 12 years in young adult women. PATIENTS AND METHODS Participants in the Australian Longitudinal Study on Women's Health (younger cohort, born 1973-1978) completed surveys between 2000 (age 22-27 years) and 2012 (age 34-39 years). Physical activity was measured in 2000, 2003, 2006, and 2009 and was categorized as very low, low, active, or very active at each survey, and a cumulative PA score for this 9-year period was created. Logistic regression was used to examine relationships between PA accumulated across all surveys (cumulative PA model) and PA at each survey (critical periods PA model), with change in BMI category (from healthy to overweight or healthy to obese) from 2000 to 2012. RESULTS In women with a healthy BMI in 2000, there were clear dose-response relationships between accumulated PA and transition to overweight (P=.03) and obesity (P<.01) between 2000 and 2012. The critical periods analysis indicated that very active levels of PA at the 2006 survey (when the women were 28-33 years old) and active or very active PA at the 2009 survey (age 31-36 years) were most protective against transitioning to overweight and obesity. CONCLUSION These findings confirm that maintenance of very high PA levels throughout young adulthood will significantly reduce the risk of becoming overweight or obese. There seems to be a critical period for maintaining high levels of activity at the life stage when many women face competing demands of caring for infants and young children.
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Affiliation(s)
- Toby G Pavey
- Centre for Research on Exercise, Physical Activity, and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia.
| | - G M E E Geeske Peeters
- School of Public Health and Preventive Medicine, Health Services Research Unit, Monash University, Melbourne, Victoria, Australia
| | - Sjaan R Gomersall
- Centre for Research on Exercise, Physical Activity, and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Wendy J Brown
- Centre for Research on Exercise, Physical Activity, and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia
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Chantler S, Dickie K, Micklesfield LK, Goedecke JH. Determinants of change in body weight and body fat distribution over 5.5 years in a sample of free-living black South African women. Cardiovasc J Afr 2016; 27:367-374. [PMID: 27224680 PMCID: PMC5408497 DOI: 10.5830/cvja-2016-038] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Accepted: 03/22/2016] [Indexed: 02/05/2023] Open
Abstract
Objective To identify socio-demographic and lifestyle determinants of weight gain in a sample of premenopasual black South African (SA) women. Methods Changes in body composition (dual-energy X-ray absorptiometry, computerised tomography), socio-economic status (SES) and behavioural/lifestyle factors were measured in 64 black SA women at baseline (27 ± 8 years) and after 5.5 years. Results A lower body mass index (BMI) and nulliparity, together with access to sanitation, were significant determinants of weight gain and change in body fat distribution over 5.5 years. In addition, younger women increased their body weight more than their older counterparts, but this association was not independent of other determinants. Conclusion Further research is required to examine the effect of changing SES, as well as the full impact of childbearing on weight gain over time in younger women with lower BMIs. This information will suggest areas for possible intervention to prevent long-term weight gain in these women.
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Affiliation(s)
- Sarah Chantler
- Division of Exercise Science and Sports Medicine, Department of Human Biology, University of Cape Town, Cape Town, South Africa
| | - Kasha Dickie
- Division of Exercise Science and Sports Medicine, Department of Human Biology, University of Cape Town, Cape Town, South Africa
| | - Lisa K Micklesfield
- Division of Exercise Science and Sports Medicine, Department of Human Biology, University of Cape Town, Cape Town, South Africa; MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Julia H Goedecke
- Division of Exercise Science and Sports Medicine, Department of Human Biology, University of Cape Town, Cape Town, South Africa; Non-Communicable Disease Research Unit, South African Medical Research Council, Cape Town, South Africa.
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60
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Hann A, Frawley A, Spedding G. Not very NICE: deviance, stigma and nutritional guidelines related to healthy weight and obesity. Int J Health Plann Manage 2016; 32:416-432. [PMID: 27062379 DOI: 10.1002/hpm.2350] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2016] [Accepted: 02/25/2016] [Indexed: 11/09/2022] Open
Abstract
This paper critically examines the current National Institute for Health and Clinical Excellence and National Health Service guidelines on weight management and the avoidance of obesity (NG7). We demonstrate that the guidance is unlikely to produce the desired effect of enabling people to reduce or control their weight through the twin strategies of dieting (primarily using the calories-in, calories-out approach) and increasing their levels of exercise. The paper provides a critical examination of these guidelines and concludes that they are unlikely to encourage maintenance of 'healthy' weights or prevent obesity, are not based upon particularly strong evidence and are misguided in maintaining a persistent focus upon weight rather than other indicators of health. Moreover, we suggest their promotion may produce a number of unintended consequences, including perpetuating body-related stigmatisation and anxieties. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Alison Hann
- College of Health and Human Sciences, Swansea University, Swansea, UK
| | - Ashley Frawley
- College of Health and Human Sciences, Swansea University, Swansea, UK
| | - Gillian Spedding
- College of Health and Human Sciences, Swansea University, Swansea, UK
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61
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Correa JB, Apolzan JW, Shepard DN, Heil DP, Rood JC, Martin CK. Evaluation of the ability of three physical activity monitors to predict weight change and estimate energy expenditure. Appl Physiol Nutr Metab 2016; 41:758-66. [PMID: 27270210 DOI: 10.1139/apnm-2015-0461] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Activity monitors such as the Actical accelerometer, the Sensewear armband, and the Intelligent Device for Energy Expenditure and Activity (IDEEA) are commonly validated against gold standards (e.g., doubly labeled water, or DLW) to determine whether they accurately measure total daily energy expenditure (TEE) or activity energy expenditure (AEE). However, little research has assessed whether these parameters or others (e.g., posture allocation) predict body weight change over time. The aims of this study were to (i) test whether estimated energy expenditure or posture allocation from the devices was associated with weight change during and following a low-calorie diet (LCD) and (ii) compare free-living TEE and AEE predictions from the devices against DLW before weight change. Eighty-seven participants from 2 clinical trials wore 2 of the 3 devices simultaneously for 1 week of a 2-week DLW period. Participants then completed an 8-week LCD and were weighed at the start and end of the LCD and 6 and 12 months after the LCD. More time spent walking at baseline, measured by the IDEEA, significantly predicted greater weight loss during the 8-week LCD. Measures of posture allocation demonstrated medium effect sizes in their relationships with weight change. Bland-Altman analyses indicated that the Sensewear and the IDEEA accurately estimated TEE, and the IDEEA accurately measured AEE. The results suggest that the ability of energy expenditure and posture allocation to predict weight change is limited, and the accuracy of TEE and AEE measurements varies across activity monitoring devices, with multi-sensor monitors demonstrating stronger validity.
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Affiliation(s)
- John B Correa
- a Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - John W Apolzan
- a Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - Desti N Shepard
- a Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | | | - Jennifer C Rood
- a Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - Corby K Martin
- a Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
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Jalali-Farahani S, Amiri P, Chin YS. Are physical activity, sedentary behaviors and sleep duration associated with body mass index-for-age and health-related quality of life among high school boys and girls? Health Qual Life Outcomes 2016; 14:30. [PMID: 26921272 PMCID: PMC4769527 DOI: 10.1186/s12955-016-0434-6] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2015] [Accepted: 02/22/2016] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Previous studies reported lower health-related quality of life (HRQOL) scores in overweight and obese adolescents compared to their normal weight counterparts; however, few studies investigated the association between obesity-related behaviors including physical activity and sedentary behaviors and HRQOL in adolescents. This study aimed at investigating the relationship between physical activity, sedentary behaviors, sleep duration and body mass index-for-age (BMI-for-age) and HRQOL among high school Tehranian students. METHODS A total of 465 high school students (48.8 % girls) were recruited from three different socio-economic zones in Tehran. The BMI-for-age was determined and physical activity and HRQOL were assessed using validated questionnaires including Quantification de l'Activite Physique en Altitude Chez les Enfants (QAPACE) and Pediatric Quality of Life Inventory (PedsQL) respectively. RESULTS Over one third of students (38.5 %) were either overweight or obese. The means of all self- and parent-reported HRQOL scores were significantly lower in girls, compared to boys, except for the parent-reported social functioning subscale. Mean hours of daily sleeping were significantly higher in girls, compared to boys (8.16 ± 1.27 vs. 7.73 ± 1.22 respectively; p < 0.05). Both girls and boys spent more time on sedentary activities than engaging in sport activities. During school and vacation periods, boys had significantly higher daily energy expenditure (DEE) compared to girls (p < 0.05). Only DEE during school period had a significant inverse correlation with BMI-for-age in boys but not girls (r = -0.14, p < 0.05). In addition, self-reported HRQOL scores were significantly associated with weekly hours adolescents spent on videogames/internet, listening to music and reading, watching TV, sports as well as DEE through sex-specific patterns. However according to parents' perspective only weekly hours spent on listening to music and readings and sport activities were significantly associated with their children HRQOL scores. CONCLUSION In summary, time spent on physical and sedentary activities were not associated with BMI-for-age, although both of these were associated with the HRQOL of high school students. The potential role of sedentary activities and physical activity should be considered in future interventions aimed at improving HRQOL in adolescents.
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Affiliation(s)
- Sara Jalali-Farahani
- Research Center for Social Determinants of Endocrine Health & Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. .,Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
| | - Parisa Amiri
- Research Center for Social Determinants of Endocrine Health & Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Yit Siew Chin
- Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia. .,Research Centre of Excellence (RCoE), Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
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Neupane S, Prakash KC, Doku DT. Overweight and obesity among women: analysis of demographic and health survey data from 32 Sub-Saharan African Countries. BMC Public Health 2016; 16:30. [PMID: 26758204 PMCID: PMC4710980 DOI: 10.1186/s12889-016-2698-5] [Citation(s) in RCA: 106] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2015] [Accepted: 01/07/2016] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Overweight and obesity are risk factors for many chronic diseases globally. However, the extent of the problem in low-income countries like Sub-Saharan Africa is unclear. We assessed the magnitude and disparity of both phenomena by place of residence, level of education and wealth quintile using cross-sectional data from 32 countries. METHODS Demographic and Health Survey (DHS) data collected in 32 Sub-Saharan African countries between January 2005 and December 2013 were used. A total of 250651 women (aged 15-49 years) were analyzed. Trained personnel using a standardized procedure measured body weight and height. Body mass index (BMI) was calculated by dividing body weight by height squared. Prevalence of overweight (25.0-29.9 kg/m(2)) and obesity (≥ 30.0 kg/m(2)) were estimated for each country. Analysis of the relationships of overweight and obesity with place of residence, education and wealth index were carried out using logistic regression. RESULTS The pooled prevalence of overweight for the region was 15.9% (95% CI, 15.7-16.0) with the lowest in Madagascar 5.6% (95% CI, 5.1-6.1) and the highest in Swaziland 27.7% (95% CI, 26.4-29.0). Similarly, the prevalence of obesity was also lowest in Madagascar 1.1% (95% CI, 0.9-1.4) and highest in Swaziland 23.0 (95% CI, 21.8-24.2). The women in urban residence and those who were classified as rich, with respect to the quintile of the wealth index, had higher likelihood of overweight and obesity. In the pooled results, high education was significantly associated with overweight and obesity. CONCLUSIONS The prevalence of overweight and obesity varied highly between the countries and wealth index (rich vs. poor) was found to be the strongest predictor in most of the countries. Interventions that will address the socio-cultural barriers to maintaining healthy body size can contribute to curbing the overweight and obesity epidemic in Africa.
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Affiliation(s)
- Subas Neupane
- School of Health Sciences, FI - 33014 University of Tampere, Tampere, Finland.
| | - K C Prakash
- School of Health Sciences, FI - 33014 University of Tampere, Tampere, Finland.
| | - David Teye Doku
- Department of Population and Health, University of Cape Coast, Private Mail Bag, University Post Office, Cape Coast, Ghana.
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64
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Hand GA, Shook RP, Hill JO, Giacobbi PR, Blair SN. Energy flux: staying in energy balance at a high level is necessary to prevent weight gain for most people. Expert Rev Endocrinol Metab 2015; 10:599-605. [PMID: 30289030 DOI: 10.1586/17446651.2015.1079483] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Energy flux, the rate of energy conversion from absorption to expenditure or storage, is a critical component of understanding weight management. Individuals who maintain body weight over time have common characteristics including a relatively high level of physical activity and minimal changes in body composition, muscle mass and metabolic rate. A higher state of energy flux resulting from high energy expenditure may provide for a greater 'sensitivity' between energy intake and expenditure. This sensitivity stabilizes body weight by enhancing reciprocal compensation among these components with changes in eating or activity. The energy balance framework suggests that a higher level of energy expenditure requires higher energy intake to maintain body mass. Maintaining energy balance at a higher caloric intake and expenditure should be a more successful long-term strategy for weight maintenance than reduced consumption or extreme caloric restriction at a low level of energy expenditure (a low energy flux) and improve intervention effectiveness for sustainable methods for body weight stability.
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Affiliation(s)
- Gregory A Hand
- a 1 Department of Epidemiology, School of Public Health, West Virginia University, PO Box 9190, HSC South, Morgantown, WV, USA
- b 2 College of Physical Activity and Sports Sciences, West Virginia University, PO Box 6116, 375 Birch Street, Health Education Bldg, Morgantown, WV 26506, USA
| | - Robin P Shook
- c 3 Department of Kinesiology, Iowa State University, Kinesiology, 247 Forker Bldg, Ames, IA, USA
| | - James O Hill
- d 4 Department of Medicine, University of Colorado at Denver, Center for Human Nutrition, 13001 E 17th Place, Aurora, CO 80045, USA
| | - Peter R Giacobbi
- a 1 Department of Epidemiology, School of Public Health, West Virginia University, PO Box 9190, HSC South, Morgantown, WV, USA
- b 2 College of Physical Activity and Sports Sciences, West Virginia University, PO Box 6116, 375 Birch Street, Health Education Bldg, Morgantown, WV 26506, USA
| | - Steven N Blair
- e 5 Departments of Exercise Science and Epidemiology/Biostatistics, University of South Carolina, Arnold School of Public Health, 921 Assembly Street, Columbia, SC 29208, USA
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Kelly P, Baker G, McAdam C, Milton K, Richards J, Foster C, Murphy M, Mutrie N. Critique of ‘The physical activity myth’ paper: discussion of flawed logic and inappropriate use of evidence. Br J Sports Med 2015; 50:1230-1231. [DOI: 10.1136/bjsports-2015-095120] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/01/2015] [Indexed: 11/04/2022]
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66
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Gallotta MC, Emerenziani GP, Iazzoni S, Meucci M, Baldari C, Guidetti L. Impacts of coordinative training on normal weight and overweight/obese children's attentional performance. Front Hum Neurosci 2015; 9:577. [PMID: 26578925 PMCID: PMC4623610 DOI: 10.3389/fnhum.2015.00577] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2014] [Accepted: 10/04/2015] [Indexed: 12/11/2022] Open
Abstract
This study investigated the efficacy of a physical activity (PA) program to improve the attention span in normal weight vs. overweight/obese children. The study was designed as a cluster-randomized controlled intervention. One hundred fifty-seven normal weight and overweight/obese primary school children were randomly divided in three cohorts: Traditional PA, Coordinative PA and a Control group (not attending any PA). Before and after 5 months of intervention, children were administered the d2-R test of attention. Results showed that participants’ attentional performances were significantly affected by Time (pre vs. post; P < 0.01) and by Time × Group interaction (traditional vs. coordinative vs. control; P < 0.001), revealing significant different effects of intervention/exercise modality on children’s attentional performance, independently of their weight status. These data suggest that a 5-month school-based PA intervention can improve the cognitive performance in children. Further, the Coordinative PA intervention resulted in the most significant improvement in children’s attention.
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Affiliation(s)
- Maria Chiara Gallotta
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico" Rome, Italy
| | - Gian Pietro Emerenziani
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico" Rome, Italy
| | - Sara Iazzoni
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico" Rome, Italy
| | - Marco Meucci
- Department of Health and Exercise Science, Appalachian State University Boone, NC, USA
| | - Carlo Baldari
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico" Rome, Italy
| | - Laura Guidetti
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico" Rome, Italy
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Affiliation(s)
- Herman Pontzer
- Hunter College, City University of New York, and New York Consortium for Evolutionary Primatology, New York, NY 10065;
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68
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Maternal exercise before and during pregnancy does not impact offspring exercise or body composition in mice. J Negat Results Biomed 2015; 14:13. [PMID: 26235102 PMCID: PMC4522962 DOI: 10.1186/s12952-015-0032-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2015] [Accepted: 07/01/2015] [Indexed: 01/16/2023] Open
Abstract
Background The genome, the environment, and their interactions simultaneously regulate complex traits such as body composition and voluntary exercise levels. One such environmental influence is the maternal milieu (i.e., in utero environment or maternal care). Variability in the maternal environment may directly impact the mother, and simultaneously has the potential to influence the physiology and/or behavior of offspring in utero, post birth, and into adulthood. Here, we utilized a murine model to examine the effects of the maternal environment in regard to voluntary exercise (absence of wheel running, wheel running prior to gestation, and wheel running prior to and throughout gestation) on offspring weight and body composition (% fat tissue and % lean tissue) throughout development (~3 to ~9 weeks of age). Additionally, we examined the effects of ~6 weeks of maternal exercise (prior to and during gestation) on offspring exercise levels at ~9 weeks of age. Results We observed no substantial effects of maternal exercise on subsequent male or female offspring body composition throughout development, or on the propensity of offspring to engage in voluntary wheel running. At the level of the individual, correlational analyses revealed some statistically significant relationships between maternal and offspring exercise levels, likely reflecting previously known heritability estimates for such traits. Conclusions The current results conflict with previous findings in human and mouse models demonstrating that maternal exercise has the potential to alter offspring phenotypes. We discuss our negative findings in the context of the timing of the maternal exercise and the level of biological organization of the examined phenotypes within the offspring. Electronic supplementary material The online version of this article (doi:10.1186/s12952-015-0032-x) contains supplementary material, which is available to authorized users.
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69
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Mahtani KR, McManus J, Nunan D. Physical activity and obesity editorial: is exercise pointless or was it a pointless exercise? Br J Sports Med 2015; 49:969-70. [DOI: 10.1136/bjsports-2015-095005] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/28/2015] [Indexed: 11/04/2022]
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Physical inactivity and obesity is not a myth: Dr Steven Blair comments on Dr Aseem Malhotra's editorial. Br J Sports Med 2015; 49:968-9. [DOI: 10.1136/bjsports-2015-094989] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/19/2015] [Indexed: 01/13/2023]
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71
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Malhotra A, Noakes T, Phinney S. It is time to bust the myth of physical inactivity and obesity: you cannot outrun a bad diet. Br J Sports Med 2015; 49:967-8. [PMID: 25904145 DOI: 10.1136/bjsports-2015-094911] [Citation(s) in RCA: 88] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/08/2015] [Indexed: 11/04/2022]
Affiliation(s)
- A Malhotra
- Department of Cardiology, Frimley Park Hospital and Consultant Clinical Associate to the Academy of Medical Royal Colleges
| | - T Noakes
- Department of Human Biology, University of Cape Town and Sports Science Institute of South Africa, Newlands, South Africa
| | - S Phinney
- School of Medicine (Emeritus), University of California Davis, Davis, California, USA
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72
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Crino M, Sacks G, Vandevijvere S, Swinburn B, Neal B. The Influence on Population Weight Gain and Obesity of the Macronutrient Composition and Energy Density of the Food Supply. Curr Obes Rep 2015; 4:1-10. [PMID: 26627085 DOI: 10.1007/s13679-014-0134-7] [Citation(s) in RCA: 54] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Rates of overweight and obesity have increased dramatically in all regions of the world over the last few decades. Almost all of the world's population now has ubiquitous access to low-cost, but highly-processed, energy-dense, nutrient-poor food products. These changes in the food supply, rather than decreases in physical activity, are most likely the primary driver of population weight gain and obesity. To-date, the majority of prevention efforts focus on personalised approaches targeting individuals. Population-wide food supply interventions addressing sodium and trans fat reduction have proven highly effective and comparable efforts are now required to target obesity. The evidence suggests that strategies focusing upon reducing the energy density and portion size of foods will be more effective than those targeting specific macronutrients. Government leadership, clearly specified targets, accountability and transparency will be the key to achieving the food supply changes required to address the global obesity epidemic.
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Affiliation(s)
- Michelle Crino
- The George Institute for Global Health, University of Sydney, Level 10, King George V Building, 83-117 Missenden Rd, Camperdown, NSW, 2050, Sydney, Australia.
| | - Gary Sacks
- WHO Collaborating Centre for Obesity Prevention, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
| | - Stefanie Vandevijvere
- School of Population Health, University of Auckland, Private Bag 92019, Auckland Mail Centre, Auckland, 1142, New Zealand.
| | - Boyd Swinburn
- WHO Collaborating Centre for Obesity Prevention, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
- School of Population Health, University of Auckland, Private Bag 92019, Auckland Mail Centre, Auckland, 1142, New Zealand.
| | - Bruce Neal
- The George Institute for Global Health, University of Sydney, Level 10, King George V Building, 83-117 Missenden Rd, Camperdown, NSW, 2050, Sydney, Australia.
- The Royal Prince Alfred Hospital, Sydney, Australia.
- Imperial College, London, UK.
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73
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Zandian M, Bergh C, Ioakimidis I, Esfandiari M, Shield J, Lightman S, Leon M, Södersten P. Control of Body Weight by Eating Behavior in Children. Front Pediatr 2015; 3:89. [PMID: 26539422 PMCID: PMC4609845 DOI: 10.3389/fped.2015.00089] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2015] [Accepted: 10/05/2015] [Indexed: 01/07/2023] Open
Abstract
Diet, exercise, and pharmacological interventions have limited effects in counteracting the worldwide increase in pediatric body weight. Moreover, the promise that individualized drug design will work to induce weight loss appears to be exaggerated. We suggest that the reason for this limited success is that the cause of obesity has been misunderstood. Body weight is mainly under external control; our brain permits us to eat under most circumstances, and unless the financial or physical cost of food is high, eating and body weight increase by default. When energy-rich, inexpensive foods are continually available, people need external support to maintain a healthy body weight. Weight loss can thereby be achieved by continuous feedback on how much and how fast to eat on a computer screen.
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Affiliation(s)
- Modjtaba Zandian
- Section of Applied Neuroendocrinology, Karolinska Institutet, Mandometer Clinic Novum , Huddinge , Sweden
| | - Cecilia Bergh
- Section of Applied Neuroendocrinology, Karolinska Institutet, Mandometer Clinic Novum , Huddinge , Sweden
| | - Ioannis Ioakimidis
- Section of Applied Neuroendocrinology, Karolinska Institutet, Mandometer Clinic Novum , Huddinge , Sweden
| | - Maryam Esfandiari
- Section of Applied Neuroendocrinology, Karolinska Institutet, Mandometer Clinic Novum , Huddinge , Sweden
| | - Julian Shield
- Department of Paediatric Endocrinology, School of Clinical Sciences, University of Bristol , Bristol , UK ; Department of Diabetes, School of Clinical Sciences, University of Bristol , Bristol , UK ; Department of Metabolic Endocrinology, School of Clinical Sciences, University of Bristol , Bristol , UK
| | - Stafford Lightman
- Henry Wellcome Laboratories for Integrative Neuroscience and Endocrinology, Department of Medicine, University of Bristol , Bristol , UK
| | - Michael Leon
- Section of Applied Neuroendocrinology, Karolinska Institutet, Mandometer Clinic Novum , Huddinge , Sweden
| | - Per Södersten
- Section of Applied Neuroendocrinology, Karolinska Institutet, Mandometer Clinic Novum , Huddinge , Sweden
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Lafontan M, Visscher TL, Farpour-Lambert N, Yumuk V. Opportunities for intervention strategies for weight management: global actions on fluid intake patterns. Obes Facts 2015; 8:54-76. [PMID: 25765164 PMCID: PMC5644897 DOI: 10.1159/000375103] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Accepted: 11/20/2014] [Indexed: 12/12/2022] Open
Abstract
Water is an essential nutrient for all physiological functions and particularly important for thermoregulation. About 60% of our body weight is made of water. Under standard conditions (18-20 °C and moderate activity), water balance is regulated within 0.2 % of body weight over a 24-hour period. Water requirement varies between individuals and according to environmental conditions. Concerning considerations related to obesity, the health impact of fluid intake is commonly overlooked. Fluid intake advices are missing in most of food pyramids offered to the public, and water requirements and hydration challenges remain often neglected. The purpose of this paper is to emphasize and discuss the role of water consumption in the context of other important public health measures for weight management. Attention will be focused on fluid intake patterns and hydration-related questions in the context of global interventions and/or physical activity programs settled in weight management protocols.
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Affiliation(s)
- Max Lafontan
- Inserm/University Paul Sabatier UMR 1048, Institute of Metabolic and Cardiovascular Diseases, Hôpital Rangueil, Toulouse cedex, France
- *Dr. Max Lafontan, D. Sc., Inserm/UPS UMR 1048, Institut des Maladies Métaboliques et Cardiovasculaires, Hôpital Rangueil, 1, Avenue Jean Poulhès — BP 84225, 31432 Toulouse cedex 4, France,
| | - Tommy L.S. Visscher
- Research Centre for the Prevention of Overweight, Windesheim University of Applied Sciences and VU University, Zwolle, the Netherlands
| | - Nathalie Farpour-Lambert
- Service of Therapeutic Education for Chronic Diseases, Department of Community Health, Primary Care and Emergency, University Hospital of Geneva and University of Geneva, Geneva, Switzerland
| | - Volkan Yumuk
- Division of Endocrinology, Metabolism and Diabetes, Istanbul University Cerrahpasa Medical Faculty, Istanbul, Turkey
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75
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Falck RS, Shook RP, Hand GA, Lavie CJ, Blair SN. Extremes of weight gain and weight loss with detailed assessments of energy balance: Illustrative case studies and clinical recommendations. Postgrad Med 2014; 127:282-8. [DOI: 10.1080/00325481.2014.995067] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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76
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Estimating diabetes prevalence in Turkey in 2025 with and without possible interventions to reduce obesity and smoking prevalence, using a modelling approach. Int J Public Health 2014; 60 Suppl 1:S13-21. [PMID: 25471076 DOI: 10.1007/s00038-014-0622-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2014] [Revised: 11/06/2014] [Accepted: 11/13/2014] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVES The purpose of this study is to estimate the prevalence and the number of people with type 2 diabetes (T2DM) in 2025 in Turkey and to evaluate the impact of possible policy options on T2DM prevalence. METHODS We developed a model to predict future prevalence of T2DM using trend data for adults aged 25-74 in Turkey from 1997 to 2025. The model integrates population, obesity and smoking trends to estimate the future T2DM prevalence using a Markov approach. RESULTS T2DM prevalence was 7.5% (95% CI: 6.0-9.0%) in 1997 increasing to 16.2% (95% CI: 15.5-21.1%) in 2010. The forecasted prevalence for 2025 was 31.5% (28.6% in men and 35.1% in women). If obesity prevalence declines by 10% and smoking decreases by 20% in 10 years from 2010, a 10% relative reduction in diabetes prevalence (1,655,213 individuals) could be achieved by 2025. CONCLUSIONS Diabetes burden is now a significant public health challenge, and our model predicts that its burden will increase significantly over the next two decades. Tackling obesity and other diabetes risk factors needs urgent action.
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77
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Fisher G, Hunter GR, Allison DB. Commentary: physical activity does influence obesity risk when it actually occurs in sufficient amount. Int J Epidemiol 2014; 42:1845-8. [PMID: 24415621 DOI: 10.1093/ije/dyt163] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Gordon Fisher
- Department of Human Studies, University of Alabama at Birmingham, Birmingham, AL, USA and Nutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, AL, USA
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78
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Blair SN, Archer E, Hand GA. Commentary: Luke and Cooper are wrong: physical activity has a crucial role in weight management and determinants of obesity. Int J Epidemiol 2014; 42:1836-8. [PMID: 24415617 DOI: 10.1093/ije/dyt160] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Affiliation(s)
- Steven N Blair
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA and Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA
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Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, Mullany EC, Biryukov S, Abbafati C, Abera SF, Abraham JP, Abu-Rmeileh NME, Achoki T, AlBuhairan FS, Alemu ZA, Alfonso R, Ali MK, Ali R, Guzman NA, Ammar W, Anwari P, Banerjee A, Barquera S, Basu S, Bennett DA, Bhutta Z, Blore J, Cabral N, Nonato IC, Chang JC, Chowdhury R, Courville KJ, Criqui MH, Cundiff DK, Dabhadkar KC, Dandona L, Davis A, Dayama A, Dharmaratne SD, Ding EL, Durrani AM, Esteghamati A, Farzadfar F, Fay DFJ, Feigin VL, Flaxman A, Forouzanfar MH, Goto A, Green MA, Gupta R, Hafezi-Nejad N, Hankey GJ, Harewood HC, Havmoeller R, Hay S, Hernandez L, Husseini A, Idrisov BT, Ikeda N, Islami F, Jahangir E, Jassal SK, Jee SH, Jeffreys M, Jonas JB, Kabagambe EK, Khalifa SEAH, Kengne AP, Khader YS, Khang YH, Kim D, Kimokoti RW, Kinge JM, Kokubo Y, Kosen S, Kwan G, Lai T, Leinsalu M, Li Y, Liang X, Liu S, Logroscino G, Lotufo PA, Lu Y, Ma J, Mainoo NK, Mensah GA, Merriman TR, Mokdad AH, Moschandreas J, Naghavi M, Naheed A, Nand D, Narayan KMV, Nelson EL, Neuhouser ML, Nisar MI, Ohkubo T, Oti SO, Pedroza A, et alNg M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, Mullany EC, Biryukov S, Abbafati C, Abera SF, Abraham JP, Abu-Rmeileh NME, Achoki T, AlBuhairan FS, Alemu ZA, Alfonso R, Ali MK, Ali R, Guzman NA, Ammar W, Anwari P, Banerjee A, Barquera S, Basu S, Bennett DA, Bhutta Z, Blore J, Cabral N, Nonato IC, Chang JC, Chowdhury R, Courville KJ, Criqui MH, Cundiff DK, Dabhadkar KC, Dandona L, Davis A, Dayama A, Dharmaratne SD, Ding EL, Durrani AM, Esteghamati A, Farzadfar F, Fay DFJ, Feigin VL, Flaxman A, Forouzanfar MH, Goto A, Green MA, Gupta R, Hafezi-Nejad N, Hankey GJ, Harewood HC, Havmoeller R, Hay S, Hernandez L, Husseini A, Idrisov BT, Ikeda N, Islami F, Jahangir E, Jassal SK, Jee SH, Jeffreys M, Jonas JB, Kabagambe EK, Khalifa SEAH, Kengne AP, Khader YS, Khang YH, Kim D, Kimokoti RW, Kinge JM, Kokubo Y, Kosen S, Kwan G, Lai T, Leinsalu M, Li Y, Liang X, Liu S, Logroscino G, Lotufo PA, Lu Y, Ma J, Mainoo NK, Mensah GA, Merriman TR, Mokdad AH, Moschandreas J, Naghavi M, Naheed A, Nand D, Narayan KMV, Nelson EL, Neuhouser ML, Nisar MI, Ohkubo T, Oti SO, Pedroza A, Prabhakaran D, Roy N, Sampson U, Seo H, Sepanlou SG, Shibuya K, Shiri R, Shiue I, Singh GM, Singh JA, Skirbekk V, Stapelberg NJC, Sturua L, Sykes BL, Tobias M, Tran BX, Trasande L, Toyoshima H, van de Vijver S, Vasankari TJ, Veerman JL, Velasquez-Melendez G, Vlassov VV, Vollset SE, Vos T, Wang C, Wang X, Weiderpass E, Werdecker A, Wright JL, Yang YC, Yatsuya H, Yoon J, Yoon SJ, Zhao Y, Zhou M, Zhu S, Lopez AD, Murray CJL, Gakidou E. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014; 384:766-81. [PMID: 24880830 PMCID: PMC4624264 DOI: 10.1016/s0140-6736(14)60460-8] [Show More Authors] [Citation(s) in RCA: 7918] [Impact Index Per Article: 719.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
BACKGROUND In 2010, overweight and obesity were estimated to cause 3·4 million deaths, 3·9% of years of life lost, and 3·8% of disability-adjusted life-years (DALYs) worldwide. The rise in obesity has led to widespread calls for regular monitoring of changes in overweight and obesity prevalence in all populations. Comparable, up-to-date information about levels and trends is essential to quantify population health effects and to prompt decision makers to prioritise action. We estimate the global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013. METHODS We systematically identified surveys, reports, and published studies (n=1769) that included data for height and weight, both through physical measurements and self-reports. We used mixed effects linear regression to correct for bias in self-reports. We obtained data for prevalence of obesity and overweight by age, sex, country, and year (n=19,244) with a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs). FINDINGS Worldwide, the proportion of adults with a body-mass index (BMI) of 25 kg/m(2) or greater increased between 1980 and 2013 from 28·8% (95% UI 28·4-29·3) to 36·9% (36·3-37·4) in men, and from 29·8% (29·3-30·2) to 38·0% (37·5-38·5) in women. Prevalence has increased substantially in children and adolescents in developed countries; 23·8% (22·9-24·7) of boys and 22·6% (21·7-23·6) of girls were overweight or obese in 2013. The prevalence of overweight and obesity has also increased in children and adolescents in developing countries, from 8·1% (7·7-8·6) to 12·9% (12·3-13·5) in 2013 for boys and from 8·4% (8·1-8·8) to 13·4% (13·0-13·9) in girls. In adults, estimated prevalence of obesity exceeded 50% in men in Tonga and in women in Kuwait, Kiribati, Federated States of Micronesia, Libya, Qatar, Tonga, and Samoa. Since 2006, the increase in adult obesity in developed countries has slowed down. INTERPRETATION Because of the established health risks and substantial increases in prevalence, obesity has become a major global health challenge. Not only is obesity increasing, but no national success stories have been reported in the past 33 years. Urgent global action and leadership is needed to help countries to more effectively intervene. FUNDING Bill & Melinda Gates Foundation.
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Affiliation(s)
- Marie Ng
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Tom Fleming
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Blake Thomson
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Nicholas Graetz
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Erin C Mullany
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Stan Biryukov
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Semaw Ferede Abera
- School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia
| | - Jerry P Abraham
- University of Texas School of Medicine, San Antonio, TX, USA
| | - Niveen M E Abu-Rmeileh
- Institute of Community and Public Health, Birzeti University, Ramallah, West Bank, Occupied Palestinian Territory
| | - Tom Achoki
- Institute for Health Metrics and Evaluation, Seattle, WA, USA; Ministry of Health, Gaborone, Botswana
| | - Fadia S AlBuhairan
- King Abdulaziz Medical City, King Saud bin Abdulaziz University for Health Sciences and King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | | | | | | | | | | | | | | | | | - Simon Barquera
- National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | | | | | | | - Jed Blore
- University of Melbourne, Melbourne, VIC, Australia
| | | | | | | | | | | | | | | | | | - Lalit Dandona
- Institute for Health Metrics and Evaluation, Seattle, WA, USA; Public Health Foundation of India, New Delhi, India
| | | | | | | | - Eric L Ding
- Harvard School of Public Health, Boston, MA USA
| | - Adnan M Durrani
- National Institutes of Health, Bethesda and Montgomery, MD, USA
| | - Alireza Esteghamati
- Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Farshad Farzadfar
- Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, AUT University, Auckland, New Zealand
| | - Abraham Flaxman
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Atsushi Goto
- Department of Diabetes Research, National Center for Global Health and Medicine, Tokyo, Japan
| | | | | | - Nima Hafezi-Nejad
- Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Graeme J Hankey
- School of Medicine and Pharmacology, University of Western Australia, Perth, WA, Australia
| | | | | | | | - Lucia Hernandez
- National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | | | | | - Nayu Ikeda
- National Institute of Health and Nutrition, Tokyo, Japan
| | | | | | - Simerjot K Jassal
- VA San Diego, University of California San Diego, San Diego, CA, USA
| | - Sun Ha Jee
- Graduate School of Public Health, Yonsei University, Seoul, Korea
| | | | - Jost B Jonas
- Department of Ophthalmology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | | | | | | | | | - Young-Ho Khang
- Institute of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea
| | - Daniel Kim
- Northeastern University, Boston, MA, USA
| | | | - Jonas M Kinge
- The Norwegian Institute of Public Health, Oslo, Norway
| | - Yoshihiro Kokubo
- Department of Preventive Cardiology, Department of Preventive Medicine and Epidemiologic Informatics, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Soewarta Kosen
- Center for Community Empowerment, Health Policy & Informatics, NIHRD, Jakarta, Indonesia
| | - Gene Kwan
- Boston Medical Center, Boston, MA, USA
| | - Taavi Lai
- Fourth View Consulting, Tallinn, Estonia
| | - Mall Leinsalu
- The National Institute for Health Development, Tallinn, Estonia
| | - Yichong Li
- National Center for Chronic and Non-communicable Disease Control and Prevention, Beijing, China
| | - Xiaofeng Liang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shiwei Liu
- Chinese Center for Disease Control and Prevention, Beijing, China
| | | | | | - Yuan Lu
- Harvard School of Public Health, Boston, MA USA
| | - Jixiang Ma
- Chinese Center for Disease Control and Prevention, Beijing, China
| | | | - George A Mensah
- Center for Translation Research and Implementation Science (CTRIS), National Heart, Lung, and Blood Institute, Bethesda and Montgomery, MD, USA
| | | | - Ali H Mokdad
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Mohsen Naghavi
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Aliya Naheed
- International Centre for Diarrhoeal Diseases Research, Dhaka, Bangladesh
| | | | | | | | | | | | | | - Samuel O Oti
- African Population and Health Research Center, Nairobi, Kenya
| | - Andrea Pedroza
- National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | | | | | | | - Hyeyoung Seo
- Department of Public Health, Graduate School, Seoul, Korea
| | - Sadaf G Sepanlou
- Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Rahman Shiri
- Finnish institute of Occupational Health, Helsinki, Finland
| | - Ivy Shiue
- Heriot-Watt University, Edinburgh, Scotland, UK
| | | | | | | | | | - Lela Sturua
- National Center for Disease Control and Public Health, Tbilisi, Georgia
| | | | - Martin Tobias
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Bach X Tran
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | | | | | | | | | | | | | - Stein Emil Vollset
- The Norwegian Institute of Public Health, Oslo, Norway; University of Bergen, Bergen, Norway
| | - Theo Vos
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - XiaoRong Wang
- Shandong University affiliated Jinan Central Hospital, Jinan, China
| | | | - Andrea Werdecker
- Institute of Medical Sociology and Social Medicine, Marburg, Hessen, Germany
| | | | | | | | - Jihyun Yoon
- Department of Preventive Medicine, Seoul, Korea
| | | | - Yong Zhao
- Chongqing Medical University, Chongqing, China
| | - Maigeng Zhou
- National Center for Chronic and Non-communicable Disease Control and Prevention, Beijing, China
| | - Shankuan Zhu
- Zhejiang University School of Public Health, Hangzhou, China
| | - Alan D Lopez
- University of Melbourne, Melbourne, VIC, Australia
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Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, Mullany EC, Biryukov S, Abbafati C, Abera SF, Abraham JP, Abu-Rmeileh NME, Achoki T, AlBuhairan FS, Alemu ZA, Alfonso R, Ali MK, Ali R, Guzman NA, Ammar W, Anwari P, Banerjee A, Barquera S, Basu S, Bennett DA, Bhutta Z, Blore J, Cabral N, Nonato IC, Chang JC, Chowdhury R, Courville KJ, Criqui MH, Cundiff DK, Dabhadkar KC, Dandona L, Davis A, Dayama A, Dharmaratne SD, Ding EL, Durrani AM, Esteghamati A, Farzadfar F, Fay DFJ, Feigin VL, Flaxman A, Forouzanfar MH, Goto A, Green MA, Gupta R, Hafezi-Nejad N, Hankey GJ, Harewood HC, Havmoeller R, Hay S, Hernandez L, Husseini A, Idrisov BT, Ikeda N, Islami F, Jahangir E, Jassal SK, Jee SH, Jeffreys M, Jonas JB, Kabagambe EK, Khalifa SEAH, Kengne AP, Khader YS, Khang YH, Kim D, Kimokoti RW, Kinge JM, Kokubo Y, Kosen S, Kwan G, Lai T, Leinsalu M, Li Y, Liang X, Liu S, Logroscino G, Lotufo PA, Lu Y, Ma J, Mainoo NK, Mensah GA, Merriman TR, Mokdad AH, Moschandreas J, Naghavi M, Naheed A, Nand D, Narayan KMV, Nelson EL, Neuhouser ML, Nisar MI, Ohkubo T, Oti SO, Pedroza A, et alNg M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, Mullany EC, Biryukov S, Abbafati C, Abera SF, Abraham JP, Abu-Rmeileh NME, Achoki T, AlBuhairan FS, Alemu ZA, Alfonso R, Ali MK, Ali R, Guzman NA, Ammar W, Anwari P, Banerjee A, Barquera S, Basu S, Bennett DA, Bhutta Z, Blore J, Cabral N, Nonato IC, Chang JC, Chowdhury R, Courville KJ, Criqui MH, Cundiff DK, Dabhadkar KC, Dandona L, Davis A, Dayama A, Dharmaratne SD, Ding EL, Durrani AM, Esteghamati A, Farzadfar F, Fay DFJ, Feigin VL, Flaxman A, Forouzanfar MH, Goto A, Green MA, Gupta R, Hafezi-Nejad N, Hankey GJ, Harewood HC, Havmoeller R, Hay S, Hernandez L, Husseini A, Idrisov BT, Ikeda N, Islami F, Jahangir E, Jassal SK, Jee SH, Jeffreys M, Jonas JB, Kabagambe EK, Khalifa SEAH, Kengne AP, Khader YS, Khang YH, Kim D, Kimokoti RW, Kinge JM, Kokubo Y, Kosen S, Kwan G, Lai T, Leinsalu M, Li Y, Liang X, Liu S, Logroscino G, Lotufo PA, Lu Y, Ma J, Mainoo NK, Mensah GA, Merriman TR, Mokdad AH, Moschandreas J, Naghavi M, Naheed A, Nand D, Narayan KMV, Nelson EL, Neuhouser ML, Nisar MI, Ohkubo T, Oti SO, Pedroza A, Prabhakaran D, Roy N, Sampson U, Seo H, Sepanlou SG, Shibuya K, Shiri R, Shiue I, Singh GM, Singh JA, Skirbekk V, Stapelberg NJC, Sturua L, Sykes BL, Tobias M, Tran BX, Trasande L, Toyoshima H, van de Vijver S, Vasankari TJ, Veerman JL, Velasquez-Melendez G, Vlassov VV, Vollset SE, Vos T, Wang C, Wang X, Weiderpass E, Werdecker A, Wright JL, Yang YC, Yatsuya H, Yoon J, Yoon SJ, Zhao Y, Zhou M, Zhu S, Lopez AD, Murray CJL, Gakidou E. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. LANCET (LONDON, ENGLAND) 2014. [PMID: 24880830 DOI: 10.1016/s0140-6736(14)60460] [Show More Authors] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND In 2010, overweight and obesity were estimated to cause 3·4 million deaths, 3·9% of years of life lost, and 3·8% of disability-adjusted life-years (DALYs) worldwide. The rise in obesity has led to widespread calls for regular monitoring of changes in overweight and obesity prevalence in all populations. Comparable, up-to-date information about levels and trends is essential to quantify population health effects and to prompt decision makers to prioritise action. We estimate the global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013. METHODS We systematically identified surveys, reports, and published studies (n=1769) that included data for height and weight, both through physical measurements and self-reports. We used mixed effects linear regression to correct for bias in self-reports. We obtained data for prevalence of obesity and overweight by age, sex, country, and year (n=19,244) with a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs). FINDINGS Worldwide, the proportion of adults with a body-mass index (BMI) of 25 kg/m(2) or greater increased between 1980 and 2013 from 28·8% (95% UI 28·4-29·3) to 36·9% (36·3-37·4) in men, and from 29·8% (29·3-30·2) to 38·0% (37·5-38·5) in women. Prevalence has increased substantially in children and adolescents in developed countries; 23·8% (22·9-24·7) of boys and 22·6% (21·7-23·6) of girls were overweight or obese in 2013. The prevalence of overweight and obesity has also increased in children and adolescents in developing countries, from 8·1% (7·7-8·6) to 12·9% (12·3-13·5) in 2013 for boys and from 8·4% (8·1-8·8) to 13·4% (13·0-13·9) in girls. In adults, estimated prevalence of obesity exceeded 50% in men in Tonga and in women in Kuwait, Kiribati, Federated States of Micronesia, Libya, Qatar, Tonga, and Samoa. Since 2006, the increase in adult obesity in developed countries has slowed down. INTERPRETATION Because of the established health risks and substantial increases in prevalence, obesity has become a major global health challenge. Not only is obesity increasing, but no national success stories have been reported in the past 33 years. Urgent global action and leadership is needed to help countries to more effectively intervene. FUNDING Bill & Melinda Gates Foundation.
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Affiliation(s)
- Marie Ng
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Tom Fleming
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Blake Thomson
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Nicholas Graetz
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Erin C Mullany
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Stan Biryukov
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Semaw Ferede Abera
- School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia
| | - Jerry P Abraham
- University of Texas School of Medicine, San Antonio, TX, USA
| | - Niveen M E Abu-Rmeileh
- Institute of Community and Public Health, Birzeti University, Ramallah, West Bank, Occupied Palestinian Territory
| | - Tom Achoki
- Institute for Health Metrics and Evaluation, Seattle, WA, USA; Ministry of Health, Gaborone, Botswana
| | - Fadia S AlBuhairan
- King Abdulaziz Medical City, King Saud bin Abdulaziz University for Health Sciences and King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | | | | | | | | | | | | | | | | | - Simon Barquera
- National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | | | | | | | - Jed Blore
- University of Melbourne, Melbourne, VIC, Australia
| | | | | | | | | | | | | | | | | | - Lalit Dandona
- Institute for Health Metrics and Evaluation, Seattle, WA, USA; Public Health Foundation of India, New Delhi, India
| | | | | | | | - Eric L Ding
- Harvard School of Public Health, Boston, MA USA
| | - Adnan M Durrani
- National Institutes of Health, Bethesda and Montgomery, MD, USA
| | - Alireza Esteghamati
- Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Farshad Farzadfar
- Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, AUT University, Auckland, New Zealand
| | - Abraham Flaxman
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Atsushi Goto
- Department of Diabetes Research, National Center for Global Health and Medicine, Tokyo, Japan
| | | | | | - Nima Hafezi-Nejad
- Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Graeme J Hankey
- School of Medicine and Pharmacology, University of Western Australia, Perth, WA, Australia
| | | | | | | | - Lucia Hernandez
- National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | | | | | - Nayu Ikeda
- National Institute of Health and Nutrition, Tokyo, Japan
| | | | | | - Simerjot K Jassal
- VA San Diego, University of California San Diego, San Diego, CA, USA
| | - Sun Ha Jee
- Graduate School of Public Health, Yonsei University, Seoul, Korea
| | | | - Jost B Jonas
- Department of Ophthalmology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | | | | | | | | | - Young-Ho Khang
- Institute of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea
| | - Daniel Kim
- Northeastern University, Boston, MA, USA
| | | | - Jonas M Kinge
- The Norwegian Institute of Public Health, Oslo, Norway
| | - Yoshihiro Kokubo
- Department of Preventive Cardiology, Department of Preventive Medicine and Epidemiologic Informatics, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Soewarta Kosen
- Center for Community Empowerment, Health Policy & Informatics, NIHRD, Jakarta, Indonesia
| | - Gene Kwan
- Boston Medical Center, Boston, MA, USA
| | - Taavi Lai
- Fourth View Consulting, Tallinn, Estonia
| | - Mall Leinsalu
- The National Institute for Health Development, Tallinn, Estonia
| | - Yichong Li
- National Center for Chronic and Non-communicable Disease Control and Prevention, Beijing, China
| | - Xiaofeng Liang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shiwei Liu
- Chinese Center for Disease Control and Prevention, Beijing, China
| | | | | | - Yuan Lu
- Harvard School of Public Health, Boston, MA USA
| | - Jixiang Ma
- Chinese Center for Disease Control and Prevention, Beijing, China
| | | | - George A Mensah
- Center for Translation Research and Implementation Science (CTRIS), National Heart, Lung, and Blood Institute, Bethesda and Montgomery, MD, USA
| | | | - Ali H Mokdad
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - Mohsen Naghavi
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Aliya Naheed
- International Centre for Diarrhoeal Diseases Research, Dhaka, Bangladesh
| | | | | | | | | | | | | | - Samuel O Oti
- African Population and Health Research Center, Nairobi, Kenya
| | - Andrea Pedroza
- National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | | | | | | | - Hyeyoung Seo
- Department of Public Health, Graduate School, Seoul, Korea
| | - Sadaf G Sepanlou
- Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Rahman Shiri
- Finnish institute of Occupational Health, Helsinki, Finland
| | - Ivy Shiue
- Heriot-Watt University, Edinburgh, Scotland, UK
| | | | | | | | | | - Lela Sturua
- National Center for Disease Control and Public Health, Tbilisi, Georgia
| | | | - Martin Tobias
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | - Bach X Tran
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | | | | | | | | | | | | | - Stein Emil Vollset
- The Norwegian Institute of Public Health, Oslo, Norway; University of Bergen, Bergen, Norway
| | - Theo Vos
- Institute for Health Metrics and Evaluation, Seattle, WA, USA
| | | | - XiaoRong Wang
- Shandong University affiliated Jinan Central Hospital, Jinan, China
| | | | - Andrea Werdecker
- Institute of Medical Sociology and Social Medicine, Marburg, Hessen, Germany
| | | | | | | | - Jihyun Yoon
- Department of Preventive Medicine, Seoul, Korea
| | | | - Yong Zhao
- Chongqing Medical University, Chongqing, China
| | - Maigeng Zhou
- National Center for Chronic and Non-communicable Disease Control and Prevention, Beijing, China
| | - Shankuan Zhu
- Zhejiang University School of Public Health, Hangzhou, China
| | - Alan D Lopez
- University of Melbourne, Melbourne, VIC, Australia
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Richmond RC, Davey Smith G, Ness AR, den Hoed M, McMahon G, Timpson NJ. Assessing causality in the association between child adiposity and physical activity levels: a Mendelian randomization analysis. PLoS Med 2014; 11:e1001618. [PMID: 24642734 PMCID: PMC3958348 DOI: 10.1371/journal.pmed.1001618] [Citation(s) in RCA: 120] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2013] [Accepted: 02/05/2014] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Cross-sectional studies have shown that objectively measured physical activity is associated with childhood adiposity, and a strong inverse dose-response association with body mass index (BMI) has been found. However, few studies have explored the extent to which this association reflects reverse causation. We aimed to determine whether childhood adiposity causally influences levels of physical activity using genetic variants reliably associated with adiposity to estimate causal effects. METHODS AND FINDINGS The Avon Longitudinal Study of Parents and Children collected data on objectively assessed activity levels of 4,296 children at age 11 y with recorded BMI and genotypic data. We used 32 established genetic correlates of BMI combined in a weighted allelic score as an instrumental variable for adiposity to estimate the causal effect of adiposity on activity. In observational analysis, a 3.3 kg/m² (one standard deviation) higher BMI was associated with 22.3 (95% CI, 17.0, 27.6) movement counts/min less total physical activity (p = 1.6×10⁻¹⁶), 2.6 (2.1, 3.1) min/d less moderate-to-vigorous-intensity activity (p = 3.7×10⁻²⁹), and 3.5 (1.5, 5.5) min/d more sedentary time (p = 5.0×10⁻⁴). In Mendelian randomization analyses, the same difference in BMI was associated with 32.4 (0.9, 63.9) movement counts/min less total physical activity (p = 0.04) (∼5.3% of the mean counts/minute), 2.8 (0.1, 5.5) min/d less moderate-to-vigorous-intensity activity (p = 0.04), and 13.2 (1.3, 25.2) min/d more sedentary time (p = 0.03). There was no strong evidence for a difference between variable estimates from observational estimates. Similar results were obtained using fat mass index. Low power and poor instrumentation of activity limited causal analysis of the influence of physical activity on BMI. CONCLUSIONS Our results suggest that increased adiposity causes a reduction in physical activity in children and support research into the targeting of BMI in efforts to increase childhood activity levels. Importantly, this does not exclude lower physical activity also leading to increased adiposity, i.e., bidirectional causation.
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Affiliation(s)
- Rebecca C. Richmond
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Andy R. Ness
- Department of Oral and Dental Science, University of Bristol, Bristol, United Kingdom
| | - Marcel den Hoed
- Molecular Epidemiology and Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - George McMahon
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Nicholas J. Timpson
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- * E-mail:
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