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1. The prevalence of underweight, overweight and obesity and their related socio-demographic and lifestyle factors among adult women in Myanmar, 2015-16. (PubMed)

The prevalence of underweight, overweight and obesity and their related socio-demographic and lifestyle factors among adult women in Myanmar, 2015-16. The aim of the study was to estimate the prevalence of underweight and overweight or obesity and their socio-demographic and lifestyle factors in a female adult population in Myanmar.In a national cross-sectional population-based survey in the 2015-16 Myanmar Demographic and Health Survey, 12,160 women aged 18-49 years and not currently pregnant (...) completed questionnaires and anthropometric measurements. Nutritional status was determined using Asian body mass index cut-offs: underweight (BMI<18.5 kg/m2), overweight (23.0-27.4 kg/m2), and obesity (≥27.5 kg/m2). Multinomial logistic regression modelling was used to determine the association between socio-demographic and lifestyle factors and weight status.The prevalence of underweight was 14.1%, overweight 28.1% and obesity 13.1%. Among different age groups, the prevalence of underweight

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2018 PLoS ONE

2. Socio-demographic factors associated with overweight and obesity among primary school children in semi-urban areas of mid-western Nigeria. (PubMed)

Socio-demographic factors associated with overweight and obesity among primary school children in semi-urban areas of mid-western Nigeria. Many developing countries are in a state of nutritional transition from prevalent under-nutrition to the emergent problem of over-nutrition (overweight and obesity), which is associated with increased morbidity and mortality, and whose complications can persist into adulthood with long-term consequences. However, data are limited on the risk factors (...) and this was classified using a standard method. The proportions were compared using Pearson's chi-squared. Multivariate logistic regression analysis was also carried out with overweight and obesity as the dependent variable and socio demographic factors as independent variables. The level of statistical significance was set at p <0.05 in all the statistical analyses.Fifty-eight pupils (4.9%) had overweight and obesity while 1129 (95.1%) were either of normal nutritional status (1088, 91.6%) or were thin/severely

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2019 PLoS ONE

3. Do the outcomes of interventions for the treatment of obesity and overweight in children aged under ten years, delivered by a health care professional, vary by socio-demographic characteristics? A review of Cochrane reviews

Do the outcomes of interventions for the treatment of obesity and overweight in children aged under ten years, delivered by a health care professional, vary by socio-demographic characteristics? A review of Cochrane reviews Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate (...) : 1. Not an original full research paper (e.g. review, editorial) 2. Not an in vivo animal study 3. No metastases/ only primary tumor 4. No control group 5. Combination therapy or contamination 6. Not about analgesics used in the clinic Full text-screening: As above, with the addition of: 7. No relevant outcome measure reported ">Prioritise the exclusion criteria Example: Two reviewers will independently extract data from each article. We first try to extract numerical data from tables, text

2019 PROSPERO

4. Prevalence and time trends in overweight and obesity among urban women: an analysis of demographic and health surveys data from 24 African countries, 1991<b>-</b>2014. (PubMed)

Prevalence and time trends in overweight and obesity among urban women: an analysis of demographic and health surveys data from 24 African countries, 1991-2014. To examine the prevalence and trends in overweight and obesity among non-pregnant urban women in Africa over the past two and a half decades.Cross-sectional surveys conducted between 1991 and 2014.Demographic and Health Surveys (DHS), repeated cross-sectional data collected in 24 African countries.Adult non-pregnant women aged 15 (...) -49 years. The earlier DHS collected anthropometric data on only those women who had children aged 0-5 years. The main analyses were limited to this subgroup. The participants were classified as overweight (25.0-29.9 kg/m2) and obese (≥30.0 kg/m2).The prevalence of overweight and obesity among women increased in all the 24 countries. Trends were statistically significant in 17 of the 24 countries in the case of obesity and 13 of the 24 for overweight. In Ghana, overweight almost doubled (p=0.001

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2017 BMJ open

5. Demographics and anthropometrics impact benefits of health intervention: data from the Reduce Obesity and Diabetes Project. (PubMed)

Demographics and anthropometrics impact benefits of health intervention: data from the Reduce Obesity and Diabetes Project. To determine the efficacy of a 4-month school-based health, nutrition and exercise intervention on body fatness and examine possible effects of demographic and anthropometric covariates.Height, weight, waist circumference and body composition were measured in a diverse population of 644 NYC middle school students (mean ± SD age 12.7 ± 0.9 years; 46% male; 38% Hispanic, 17 (...) % East Asian, 15% South Asian, 13.5% African American, 8.5% Caucasian, 8% other) during the fall and spring semesters. Year 1 participants (n = 322) were controls. Experimental participants (year 2, n = 469) received a 12-session classroom-based health and nutrition educational programme with an optional exercise intervention.Groups were demographically and anthropometrically similar. The intervention resulted in significant reductions in indices of adiposity (ΔBMI z-scores [-0.035 ± 0.014; p = 0.01

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2019 Obesity science & practice Controlled trial quality: uncertain

6. Overweight and Obesity in Schoolchildren: Hierarchical Analysis of Associated Demographic, Behavioral, and Biological Factors (PubMed)

Overweight and Obesity in Schoolchildren: Hierarchical Analysis of Associated Demographic, Behavioral, and Biological Factors Studies focused on the mechanisms involved in the development of obesity in children and adolescents have reported associations between this condition and birth weight, sedentary lifestyle, and hereditary conditions. However, few studies have simultaneously evaluated these factors. This cross-sectional study aims to identify demographic, behavioral, and biological (...) factors associated with overweight/obesity in children and adolescents. 381 schoolchildren aged seven to 17 years were included in the study to evaluate the associations between overweight/obesity and biological factors (including family history of obesity, birth weight, and the fat mass and obesity-associated (FTO) rs9939609 polymorphism), demographic variables (including gender and age), and behavioral variables (including physical activity and/or sports participation). The results of this study

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2018 Journal of obesity

7. Correlates and inequality of underweight and overweight among women of reproductive age: Evidence from the 2016 Nepal Demographic Health Survey. (PubMed)

Correlates and inequality of underweight and overweight among women of reproductive age: Evidence from the 2016 Nepal Demographic Health Survey. Understanding socio-economic correlates and inequality of underweight and overweight is crucial to develop interventions to prevent adverse health outcomes.We analysed Nepal Demographic and Health Survey 2016 data from 6,069 women aged 15-49 years. WHO cut-offs for Body Mass Index categorised as: underweight (<18.5 kg/m2), normal weight (18.5kg/m2 (...) to 24.9kg/m2) and overweight/ obesity (> = 25.0 kg/m2) were used. We used multinomial logistic regression to explore associations of factors with Body Mass Index and concentration indices to estimate socio-economic inequalities.Higher risk of underweight was found in age group 15-19 (RRR 3.08, 95% CI: 2.29-4.15), 20-29 (RRR 1.64, 95% CI: 1.29-2.08) and in lowest (RRR 1.60, 95% CI: 1.03-2.47) and second wealth quintiles (RRR 1.77 (95% CI: 1.18-2.64). Education, occupation, urban/rural residence and food

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2019 PLoS ONE

8. Demographic determinants of obesity, and adherence to dietary and physical activity guidelines among 4 to 6-year-old children in Behbahan city, southwest Iran, 2016 (PubMed)

to physical activity guidelines and mother's occupation status was revealed. Significant statistical relationship between demographic factors and BMI categories was not illustrated. Demographic covariates were not significantly related to adherence to dietary and physical activity guidelines.In preventive programs of obesity among 4 to 6-year-old children key lifestyle behaviors and demographic factors need to be considered. (...) Demographic determinants of obesity, and adherence to dietary and physical activity guidelines among 4 to 6-year-old children in Behbahan city, southwest Iran, 2016 The world is experiencing an alarming increase in prevalence of childhood obesity. The aim of this study was to determine the demographic determinants of obesity and adherence to dietary and physical activity guidelines among children aged 4 to 6 years old in Behbahan city, southwest Iran, in 2016.This cross-sectional study

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2018 Electronic physician

9. Differences in Obesity Prevalence by Demographics and Urbanization in US Children and Adolescents, 2013-2016. (PubMed)

Differences in Obesity Prevalence by Demographics and Urbanization in US Children and Adolescents, 2013-2016. Differences in childhood obesity by demographics and urbanization have been reported.To present data on obesity and severe obesity among US youth by demographics and urbanization and to investigate trends by urbanization.Measured weight and height among youth aged 2 to 19 years in the 2001-2016 National Health and Nutrition Examination Surveys, which are serial, cross-sectional (...) , nationally representative surveys of the civilian, noninstitutionalized population.Sex, age, race and Hispanic origin, education of household head, and urbanization, as assessed by metropolitan statistical areas (MSAs; large: ≥ 1 million population).Prevalence of obesity (body mass index [BMI] ≥95th percentile of US Centers for Disease Control and Prevention [CDC] growth charts) and severe obesity (BMI ≥120% of 95th percentile) by subgroups in 2013-2016 and trends by urbanization between 2001-2004

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2018 JAMA

10. Differences in Obesity Prevalence by Demographic Characteristics and Urbanization Level Among Adults in the United States, 2013-2016. (PubMed)

Differences in Obesity Prevalence by Demographic Characteristics and Urbanization Level Among Adults in the United States, 2013-2016. Differences in obesity by sex, age group, race and Hispanic origin among US adults have been reported, but differences by urbanization level have been less studied.To provide estimates of obesity by demographic characteristics and urbanization level and to examine trends in obesity prevalence by urbanization level.Serial cross-sectional analysis of measured (...) height and weight among adults aged 20 years or older in the 2001-2016 National Health and Nutrition Examination Survey, a nationally representative survey of the civilian, noninstitutionalized US population.Sex, age group, race and Hispanic origin, education level, smoking status, and urbanization level as assessed by metropolitan statistical areas (MSAs; large: ≥1 million population).Prevalence of obesity (body mass index [BMI] ≥30) and severe obesity (BMI ≥40) by subgroups in 2013-2016 and trends

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2018 JAMA

11. Demographic and Social-Cognitive Factors Associated with Weight Loss in Overweight, Pre-diabetic Participants of the PREVIEW Study. (PubMed)

, and motivation with regard to dietary behavior and goal adjustment) associated with weight loss in overweight and obese participants from the PREVIEW study who had pre-diabetes.Prospective correlational data from 1973 adult participants were analyzed. The participants completed psychological questionnaires that assessed social-cognitive variables with regard to dietary behavior. Stepwise multiple regression analyses were performed to identify baseline demographic and social-cognitive factors associated (...) Demographic and Social-Cognitive Factors Associated with Weight Loss in Overweight, Pre-diabetic Participants of the PREVIEW Study. Weight loss has been demonstrated to be a successful strategy in diabetes prevention. Although weight loss is greatly influenced by dietary behaviors, social-cognitive factors play an important role in behavioral determination. This study aimed to identify demographic and social-cognitive factors (intention, self-efficacy, outcome expectancies, social support

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2019 International journal of behavioral medicine Controlled trial quality: uncertain

12. A review of the evidence base for modelling the costs of overweight, obesity and diet-related illness for Scotland, and critical appraisal of the cost-effectiveness evidence base for population wide interventions to reduce overweight, obesity and diet-rel

, or is self-reported, and undertake regression-based methods to estimate the impact of BMI on health care use and/or costs, controlling for all other potential influences on costs. Kent et al (2017) used data from the Million Women Study cohort to estimate annual inpatient hospital costs associated with overweight and obesity in England. Data were estimated over a five year period between 2006 and 2011. Hospital episode statistics were linked to study participants, who self-reported weight, height (...) estimates for the UK (or constituent countries of the UK) and selected other developed nations were assessed. Our review identified 14 studies that addressed the costs of overweight and obesity and obesity-related illness, and a further 10 studies that estimated the cost-effectiveness of population wide interventions to reduce overweight, obesity and obesity-related illness. We found that there were no recent estimates of the cost of obesity from data collected wholly within Scotland; the most recent

2017 Health Economics Research Unit

13. Time Trend and Demographic and Geographic Disparities in Childhood Obesity Prevalence in China—Evidence from Twenty Years of Longitudinal Data (PubMed)

Time Trend and Demographic and Geographic Disparities in Childhood Obesity Prevalence in China—Evidence from Twenty Years of Longitudinal Data Childhood overweight and obesity (ow/ob) has become a serious threat to many countries, including China. However, limited evidence was obtained from longitudinal data in China. This study examined the secular trends and geographic variation in the prevalence of ow/ob and obesity only, and age, gender, and urban-rural disparities among school-aged (...) children across China. Data from children aged 6-17 surveyed in China Health and Nutrition Survey (CHNS) from 1991 (n = 2712) to 2011 (n = 1054) were used. Overweight and obesity were defined based on the International Obesity Task Force (IOTF) recommended Asian age-sex-specific BMI cut-off-points. We found that: (1) childhood ow/ob and obesity prevalence increased from 11.7% to 25.2% and from 2.8% to 10.1% during 1991-2011, respectively; (2) children aged 6-12 experienced a 1.3 and 1.6 times increase

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2017 International journal of environmental research and public health

14. Within-country migration and obesity dynamics: analysis of 94,783 women from the Peruvian demographic and health surveys. (PubMed)

Within-country migration and obesity dynamics: analysis of 94,783 women from the Peruvian demographic and health surveys. Rural-to-urban migration is associated with increased obesity, yet it remains unknown whether this association exist, and to what extent, with other types of internal migration.We conducted a secondary analysis of the Peruvian Demographic and Health Surveys (2005 to 2012) on data collected from women aged 15-49 years. Participants were classified as rural stayers, urban (...) stayers, rural-to-urban migrants, intra-rural migrants, intra-urban migrants, and urban-to-rural migrants. Marginal effects from a logit regression model were used to assess the probabilities of being and becoming obese given both the length of time in current place of residence and women's migration status.Analysis of cross-sectional survey data generated between 2005 and 2012. Data from 94,783 participants was analyzed. Intra-urban migrants and rural-to-urban migrants had the highest rates

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2019 BMC Public Health

15. Obesity is associated with significantly increased risk for diarrhoea after controlling for demographic, dietary and medical factors: a cross-sectional analysis of the 2009-2010 National Health and Nutrition Examination Survey. (PubMed)

for clinical, demographic and dietary factors, in a representative sample of the United States adult population METHODS: Data were extracted from the 2009-2010 National Health and Nutrition Examination Survey. Survey responses were included in this study if respondents completed the bowel health questionnaire (BHQ), were ≥20 years of age, and did not report history of IBD, celiac disease or colon cancer. BMI was divided into the following categories: underweight, normal weight, overweight, obese (...) and severely obese. Stepwise logistic regression provided risk ratios of constipation and diarrhoea controlling for confounding factors (dietary, life-style, psychological and medical).A total of 5126 respondents completed the BHQ, had BMI data available, and met eligibility criteria. Of these, 70 (1.40%) were underweight, 1350 (26.34%) were normal weight, 1731 (33.77%) were overweight, 1097 (21.40%) were obese and 878 (17.13%) were severely obese. Up to 8.5% of obese and 11.5% of severely obese

2019 Alimentary Pharmacology & Therapeutics

16. Heart Disease and Stroke Statistics

, Sleep (Chapter 12). Also this year, there is an emphasis on social determinants of health that are built across the various chapters, and global estimates are provided where available. Risk Factor Prevalence The NHANES 2013 to 2016 data are used in this Update to present estimates of the percentage of people with high lipid values, DM, overweight, and obesity. The NHIS 2015 data are used for the prevalence of cigarette smoking and physical inactivity. Data for students in grades 9 through 12 (...) . Physical Inactivity e99 5. Nutrition e119 6. Overweight and Obesity e138 Health Factors and Other Risk Factors 7. High Blood Cholesterol and Other Lipids e161 8. High Blood Pressure e174 9. Diabetes Mellitus e193 10. Metabolic Syndrome e212 11. Kidney Disease e233 12. Sleep e249 Cardiovascular Conditions/Diseases 13. Total Cardiovascular Diseases e257 14. Stroke (Cerebrovascular Disease) e281 15. Congenital Cardiovascular Defects and Kawasaki Disease e327 16. Disorders of Heart Rhythm e346 17. Sudden

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2019 American Heart Association

17. Overweight and obesity among women: analysis of demographic and health survey data from 32 Sub-Saharan African Countries. (PubMed)

Overweight and obesity among women: analysis of demographic and health survey data from 32 Sub-Saharan African Countries. 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.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

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2016 BMC Public Health

18. Framing Obesity: Effects of Obesity Labeling and Prevalence Statistics on Public Perceptions. (PubMed)

labeling and prevalence rate descriptions in such messages has been overlooked by researchers. This online framing experiment fills the research gap by investigating the effects of obesity labeling (disease vs. body type) and prevalence statistics (prevalence rates of obesity, extreme obesity, combined overweight-obesity, or no prevalence information). Our findings suggest that obesity perceptions deviate from reality and that participants use framed cues in the health message as reference points when (...) Framing Obesity: Effects of Obesity Labeling and Prevalence Statistics on Public Perceptions. The rising prevalence rate of obesity in the United States has accentuated concerns about obesity-related problems as a major public health issue, which has motivated widespread efforts to increase public knowledge and to motivate individuals to change their relevant behaviors. Although health campaign messages commonly include information about prevalence rates for obesity, the impact of obesity

2018 Health Education & Behavior

19. Socio-demographic determinants of obesity indexes in Iran: findings from a nationwide STEPS survey (PubMed)

Socio-demographic determinants of obesity indexes in Iran: findings from a nationwide STEPS survey Background: Overweight and obesity are considered as non-communicable diseases (NCDs) risk factors with increasing prevalence worldwide. This nationwide study aimed to determine the socio-demographic determinants of obesity indexes in Iran. Methods: This cross-sectional study was conducted based on data from the sixth round of nationwide Stepwise approach to surveillance (STEPS) survey in the 31 (...) provinces of Iran in 2011. A total of 9878 people aged ≥20 years were selected using a multi-stage cluster sampling method. Data were collected through three steps questionnaire including ecological, physical and biochemical measurements. We assessed body mass index (BMI), waist circumference(WC) and waist-hip ratio (WHR) as the main indicators of obesity. Results: In this study, the weighted prevalence of overweight and obesity were 34.5% (95% CI:33.6, 35.5) and 21.5% (95% CI: 20.7, 22.3), respectively

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2018 Health promotion perspectives

20. Media Use and Physical Activity Behaviour of Adolescent Participants in Obesity Therapy: Impact Analysis of Selected Socio-Demographic Factors (PubMed)

Media Use and Physical Activity Behaviour of Adolescent Participants in Obesity Therapy: Impact Analysis of Selected Socio-Demographic Factors To address the challenge of juvenile obesity, effective therapeutic concepts focusing on lifestyle changes are necessary. A relevant aspect is the media use, which is associated with nutrition and physical activity patterns and is influenced by socio-demographic factors. To optimise obesity therapy, the use of media depending on these socio-demographic (...) factors needs to be analysed to adjust the aims, content and methods of interventions as well as to harness the potential of media use in obesity therapy. The question considered in this research is: What media and physical activity patterns show 11- to 17-year-old obesity therapy participants in dependence on socio-demographic factors?A national multicentre study was conducted in 2015. A questionnaire was used to survey 432 participants' aged 13.75 ± 1.4 years. Standardised instruments were used

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2018 Obesity facts

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