Accuracy and usefulness of BMI measures based on self-reported weight and height: findings from the NHANES & NHIS 2001-2006.
paper
Cited
Public
- Authors
- Stommel, Manfred; Schoenborn, Charlotte A
- Year
- 2009
- Journal
- BMC public health
- PMID
- 19922675
- DOI
- 10.1186/1471-2458-9-421
- PMCID
- PMC2784464
BACKGROUND: The Body Mass Index (BMI) based on self-reported height and weight ("self-reported BMI") in epidemiologic studies is subject to measurement error. However, because of the ease and efficiency in gathering height and weight information through interviews, it remains important to assess the extent of error present in self-reported BMI measures and to explore possible adjustment factors as well as valid uses of such self-reported measures. METHODS: Using the combined 2001-2006 data from the continuous National Health and Nutrition Examination Survey, discrepancies between BMI measures based on self-reported and physical height and weight measures are estimated and socio-demographic predictors of such discrepancies are identified. Employing adjustments derived from the socio-demographic predictors, the self-reported measures of height and weight in the 2001-2006 National Health Interview Survey are used for population estimates of overweight & obesity as well as the prediction of health risks associated with large BMI values. The analysis relies on two-way frequency tables as well as linear and logistic regression models. All point and variance estimates take into account the complex survey design of the studies involved. RESULTS: Self-reported BMI values tend to overestimate measured BMI values at the low end of the BMI scale (< 22) and underestimate BMI values at the high end, particularly at values > 28. The discrepancies also vary systematically with age (younger and older respondents underestimate their BMI more than respondents aged 42-55), gender and the ethnic/racial background of the respondents. BMI scores, adjusted for socio-demographic characteristics of the respondents, tend to narrow, but do not eliminate misclassification of obese people as merely overweight, but health risk estimates associated with variations in BMI values are virtually the same, whether based on self-report or measured BMI values. CONCLUSION: BMI values based on self-reported height and weight, if corrected for biases associated with socio-demographic characteristics of the survey respondents, can be used to estimate health risks associated with variations in BMI, particularly when using parametric prediction models.
Associations of Gender and Age with Discrepancies between Self-reported and Measured Height: Fitted Values.
Associations of Gender and Age with Discrepancies between Self-reported and Measured Weight: Fitted Values.
Associations of Gender and Age with Discrepancies between Self-reported and Measured BMI: Fitted Values.
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| Name | Type |
|---|---|
| adjusted BMI local | phenotype |
| adjusted BMI score local | phenotype |
| Adjusted discrepancy scores local | phenotype |
| Adjusted self-reported BMI local | phenotype |
| Adults age 35 to 55 local | cohort |
| adults aged 35-55 local | cohort |
| African American | cohort |
| age | phenotype |
| BMI | phenotype |
| BMI (adjusted self-reported) local | phenotype |
| BMI class local | phenotype |
| BMI discrepancy local | phenotype |
| BMI (measured) local | phenotype |
| BMI overestimates local | phenotype |
| BMI underestimates local | phenotype |
| BMI underestimation local | phenotype |
| body image | phenotype |
| body mass index | phenotype |
| body weight | phenotype |
| cardiovascular disease | phenotype |
| College educated local | phenotype |
| College educated individuals local | cohort |
| diabetes | phenotype |
| divorced persons local | cohort |
| extremely obese individuals local | cohort |
| Extremely obese (measured) local | phenotype |
| Extremely obese (self-reported) local | phenotype |
| extreme obesity | phenotype |
| health risk local | phenotype |
| health risks local | phenotype |
| Health risks local | phenotype |
| height | phenotype |
| Height overestimates local | phenotype |
| high income respondents local | cohort |
| Hispanic | phenotype |
| Hispanic women local | cohort |
| income | phenotype |
| Individuals with less than a high school education local | cohort |
| Less than high school education | phenotype |
| low obesity local | phenotype |
| marital status | phenotype |
| married individuals | cohort |
| measured height local | phenotype |
| Measured height local | phenotype |
| measured weight local | phenotype |
| Measured weight local | phenotype |
| medium obesity local | phenotype |
| men | cohort |
| Mexican American | cohort |
| Mexican American adults local | cohort |
| Mexican American Women local | cohort |
| Mexican Citizens local | cohort |
| National Center for Health Statistics | cohort |
| National Heart, Lung, and Blood Institute (NHLBI) Guidelines local | cohort |
| NHANES local | cohort |
| NHANES 1999-2000 local | cohort |
| NHANES 2001-2006 local | cohort |
| NHIS | cohort |
| NHIS Sample Adult local | cohort |
| non-Hispanic African American adults local | cohort |
| non-Hispanic African American women local | cohort |
| Non-Hispanic black | cohort |
| non-Hispanic white adults local | cohort |
| non-Hispanic whites | cohort |
| non-Hispanic white women local | cohort |
| normal weight | phenotype |
| Normal weight (self-reported) local | phenotype |
| Obese category local | phenotype |
| Obese (measured) local | phenotype |
| Obese (self-reported) local | phenotype |
| obesity | phenotype |
| older respondents | cohort |
| Older Survey Respondents local | cohort |
| Other Hispanic local | phenotype |
| Overestimation of height local | phenotype |
| Overestimation of weight local | phenotype |
| overweight | phenotype |
| Overweight (measured) local | phenotype |
| Overweight (self-reported) local | phenotype |
| percentage of body fat local | phenotype |
| population | cohort |
| pregnancy | phenotype |
| pregnancy status local | phenotype |
| Pregnancy status local | phenotype |
| pregnant women | cohort |
| race/ethnicity | phenotype |
| self-rated height and weight local | phenotype |
| self-reported BMI local | phenotype |
| Self-reported BMI local | phenotype |
| self-reported height local | phenotype |
| Self-reported height local | phenotype |
| self-reported height and weight local | phenotype |
| self-reported weight local | phenotype |
| Self-reported weight local | phenotype |
| sex | phenotype |
| single/never married persons local | cohort |
| Underestimation of weight local | phenotype |
| underreporting of BMI local | phenotype |
| underweight | phenotype |
| Underweight category local | phenotype |
| Underweight (measured) local | phenotype |
| United States | cohort |
| U.S. civilian population local | cohort |
| waist circumference | phenotype |
| waist-to-hip ratio | phenotype |
| Weight overestimates local | phenotype |
| Weight underestimates local | phenotype |
| weight underestimation local | phenotype |
| whites | cohort |
| widowed | phenotype |
| Widowed respondents local | cohort |
| women | cohort |
| young women | cohort |
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| Impact of Overweight and Obesity on US Papillary Thyroid Cancer Incidence Trends (1995-2015). | Kitahara CM et al. | — | 2020 | → |
| Increases in BMI and chronic pain for US adults in midlife, 1992 to 2016. | Stokes AC et al. | — | 2020 | → |
| Long-term risk of adult overweight and obesity among achalasia patients who underwent Heller Myotomy. | Perez-Ortiz AC et al. | — | 2020 | → |
| OSA in Professional Transport Operations: Safety, Regulatory, and Economic Impact. | Gurubhagavatula I et al. | — | 2020 | → |
| Pre- and post-natal factors and physical activity in childhood: The Norwegian Mother, Father and Child Cohort study. | Bernhardsen GP et al. | — | 2020 | → |
| Rising prevalence of BMI ≥40 kg/m<sup>2</sup> : A high-demand epidemic needing better documentation. | Williamson K et al. | — | 2020 | → |
| Role of childhood maltreatment on weight and weight-related behaviors in adulthood. | Ruiz AL et al. | — | 2020 | → |
| The association of disordered eating with health-related quality of life in U.S. young adults and effect modification by gender. | Hart LM et al. | — | 2020 | → |
| The Contribution of Body Mass and Volume of Distribution to the Estimated Uncertainty Associated with the Widmark Equation. | Maskell PD et al. | — | 2020 | → |
| The role of comorbidity in the association of obesity with unemployment and disability. | Le Strat Y et al. | — | 2020 | → |
| The Unequal Effect of Income on Risk of Overweight/Obesity of Whites and Blacks with Knee Osteoarthritis: the Osteoarthritis Initiative. | Assari S et al. | — | 2020 | → |
| Using latent class analysis to empirically classify maltreatment according to the developmental timing, duration, and co-occurrence of abuse types. | Ziobrowski HN et al. | — | 2020 | → |
| Validation of Obesity Status Based on Self-Reported Data among Filipina and Indonesian Female Migrant Domestic Workers in Macao (SAR), China. | Huang L et al. | — | 2020 | → |
| Validation of self-reported height and weight in a large, nationwide cohort of U.S. adults. | Hodge JM et al. | — | 2020 | → |
| Validity assessment of self-reported weight and its correction process among Mexican adult women of reproductive age. | Hernández-Barrera L et al. | — | 2020 | → |
| Weight Gain Trajectory and Pain Interference in Young Adulthood: Evidence from a Longitudinal Birth Cohort Study. | Tumin D et al. | — | 2020 | → |
| Yoga practice in the UK: a cross-sectional survey of motivation, health benefits and behaviours. | Cartwright T et al. | — | 2020 | → |
| A Bayesian Sensitivity Analysis to Partition Body Mass Index Into Components of Body Composition: An Application to Head and Neck Cancer Survival. | Bradshaw PT et al. | — | 2019 | → |
| Accuracy of Self-Reported Height, Weight, and BMI Over Time in Emerging Adults. | Lipsky LM et al. | — | 2019 | → |
| Accuracy of self-reported weight in the Women's Health Initiative. | Luo J et al. | — | 2019 | → |
| An exploration of healthy eating and physical activity habits of Hmong high-school students by disability status: A pilot study. | Vasudevan V et al. | — | 2019 | → |
| Anthropometric Risk Factors for Cancers of the Biliary Tract in the Biliary Tract Cancers Pooling Project. | Jackson SS et al. | — | 2019 | → |
| A significant correlation between body surface area and infrarenal aortic diameter is detected in a large screening population with possibly clinical implications. | Starck J et al. | — | 2019 | → |
| Associations between food environment typologies and body mass index: Evidence from Yorkshire, England. | Hobbs M et al. | — | 2019 | → |
| Associations between physical activity and eating-disorder psychopathology among individuals categorised with binge-eating disorder and bulimia nervosa. | Kerrigan SG et al. | — | 2019 | → |
| Associations of Asian Ethnicity and Parental Education with Overweight in Asian American Children and Adolescents: An Analysis of 2011-2016 National Health and Nutrition Examination Surveys. | Cook WK et al. | — | 2019 | → |
| Comparisons of Self-Reported and Measured Height and Weight, BMI, and Obesity Prevalence from National Surveys: 1999-2016. | Flegal KM et al. | — | 2019 | → |
| Contributions of personality to social influence: Contingent associations between social network body size composition and BMI. | Perry BL et al. | — | 2019 | → |
| Diabetes and Obesity Associated with Poor Food Environments in American Indian Communities: the Tribal Health and Resilience in Vulnerable Environments (THRIVE) Study. | Love CV et al. | — | 2019 | → |
| Diet, Secondhand Smoke, and Glycated Hemoglobin (HbA1c) Levels among Singapore Chinese Adults. | Moore BF et al. | — | 2019 | → |
| Differential Influence of Weight Status on Chronic Diseases by Reported Sexual Orientation Identity in Men. | Stupplebeen DA et al. | — | 2019 | → |
| Examining validity of body mass index calculated using height and weight data from the US driver license. | Chernenko A et al. | — | 2019 | → |
| Fear of fat and restrained eating: negative body talk between female friends as a moderator. | Chow CM et al. | — | 2019 | → |
| How do UK physiotherapists address weight loss among individuals with hip osteoarthritis? A mixed-methods study. | Holden MA et al. | — | 2019 | → |
| Implications of differing attitudes and experiences between providers and persons with obesity: results of the national ACTION study. | Look M et al. | — | 2019 | → |
| Interest in and barriers to participation in a Facebook-delivered weight loss program among female cancer survivors with overweight or obesity. | May CN et al. | — | 2019 | → |
| Multiple deprivation and other risk factors for maternal obesity in Portsmouth, UK. | Walker IV et al. | — | 2019 | → |
| Nutrition Transition in the Post-Economic Crisis of Greece: Assessing the Nutritional Gap of Food-Insecure Individuals. A Cross-Sectional Study. | Chatzivagia E et al. | — | 2019 | → |
| Obesity and breast cancer screening: Cross-sectional survey results from the behavioral risk factor surveillance system. | Miles RC et al. | — | 2019 | → |
| Pilot randomised controlled trial of Weight Watchers® referral with or without dietitian-led group support for weight loss in women treated for breast cancer: the BRIGHT (BReast cancer weIGHT loss) trial. | Newlands RSN et al. | — | 2019 | → |
| Plus size and obese workers: anthropometry estimates to promote inclusive design. | Gyi D et al. | — | 2019 | → |
| Pre-pregnancy body mass index and the risk of antenatal depression and anxiety. | Holton S et al. | — | 2019 | → |
| Reasons why osteoarthritis predicts mortality: path analysis within a Cox proportional hazards model. | Wilkie R et al. | — | 2019 | → |
| Short interpregnancy intervals and adverse maternal outcomes in high-resource settings: An updated systematic review. | Hutcheon JA et al. | — | 2019 | → |
| Six Month Abstinence Heterogeneity in the Best Quit Study. | Javitz HS et al. | — | 2019 | → |
| State Variation in Early-Onset Colorectal Cancer in the United States, 1995-2015. | Siegel RL et al. | — | 2019 | → |
| The clinical and radiographic course of early knee and hip osteoarthritis over 10 years in CHECK (Cohort Hip and Cohort Knee). | Schiphof D et al. | — | 2019 | → |
| The prediction of colorectal cancer using anthropometric measures: A Swedish population-based cohort study with 22 years of follow-up. | Andreasson A et al. | — | 2019 | → |
| Translating, modifying, and validating the Adult Picky Eating Questionnaire for use in China. | He J et al. | — | 2019 | → |
| Validity of Self-Reported Body Mass, Height, and Body Mass Index in Female Students: The Role of Physical Activity Level, Menstrual Cycle Phase, and Time of Day. | Kintziou E et al. | — | 2019 | → |
| Validity of self-reported recall of anthropometric measures in early life: A systematic review and meta-analysis. | De Rubeis V et al. | — | 2019 | → |
| Accuracy of self-reported heights and weights in a predominately low-income, diverse population living in the USA. | Opichka K et al. | — | 2018 | → |
| A comparison of measured versus self-reported anthropometrics for assessing obesity in adults: a literature review. | Maukonen M et al. | — | 2018 | → |
| Adherence to the healthy Nordic diet is associated with weight change during 7 years of follow-up. | Kanerva N et al. | — | 2018 | → |
| Adjusting for BMI in analyses of volumetric mammographic density and breast cancer risk. | Hudson S et al. | — | 2018 | → |
| Associations of gestational weight gain with offspring thinness and obesity: by prepregnancy body mass index. | Wan N et al. | — | 2018 | → |
| Body composition measurements and risk of hematological malignancies: A population-based cohort study during 20 years of follow-up. | Hagström H et al. | — | 2018 | → |
| Body mass index and lung cancer risk: a pooled analysis based on nested case-control studies from four cohort studies. | Sanikini H et al. | — | 2018 | → |
| Body mass index changes after unicompartmental knee arthroplasty do not adversely influence patient outcomes. | Xia Z et al. | — | 2018 | → |
| Compliance with Dietary Guidelines Varies by Weight Status: A Cross-Sectional Study of Australian Adults. | Hendrie GA et al. | — | 2018 | → |
| Correction of self-reported BMI based on objective measurements: a Belgian experience. | Drieskens S et al. | — | 2018 | → |
| Crucial conversations about weight management with healthcare providers: patients' perspectives and experiences. | Koball AM et al. | — | 2018 | → |
| Do the Low WHRs and BMIs Judged Most Attractive Indicate Better Health? | Lassek WD et al. | — | 2018 | → |
| Family Income Reduces Risk of Obesity for White but Not Black Children. | Assari S | — | 2018 | → |
| Geographic Variations in Arthritis Prevalence, Health-Related Characteristics, and Management - United States, 2015. | Barbour KE et al. | — | 2018 | → |
| Health-related parental indicators and their association with healthy weight and overweight/obese children's physical activity. | Sigmund E et al. | — | 2018 | → |
| High BMI in late adolescence predicts future severe liver disease and hepatocellular carcinoma: a national, population-based cohort study in 1.2 million men. | Hagström H et al. | — | 2018 | → |
| Improving mental health through integration with primary care in rural Karnataka: study protocol of a cluster randomized control trial. | Srinivasan K et al. | — | 2018 | → |
| Integrated motivational interviewing and cognitive behaviour therapy for lifestyle mediators of overweight and obesity in community-dwelling adults: a systematic review and meta-analyses. | Barrett S et al. | — | 2018 | → |
| Intersecting Social Inequalities and Body Mass Index Trajectories from Adolescence to Early Adulthood. | Hargrove TW | — | 2018 | → |
| Maternal early pregnancy obesity and depressive symptoms during and after pregnancy. | Kumpulainen SM et al. | — | 2018 | → |
| Maternal early pregnancy obesity and related pregnancy and pre-pregnancy disorders: associations with child developmental milestones in the prospective PREDO Study. | Girchenko P et al. | — | 2018 | → |
| Measurement matters: higher waist-to-hip ratio but not body mass index is associated with deficits in executive functions and episodic memory. | Hartanto A et al. | — | 2018 | → |
| Obesity Prevalence Among Adults Living in Metropolitan and Nonmetropolitan Counties - United States, 2016. | Lundeen EA et al. | — | 2018 | → |
| Overweight in childhood cancer survivors: the Swiss Childhood Cancer Survivor Study. | Belle FN et al. | — | 2018 | → |
| Patterns and predictors of adherence to colorectal cancer screening recommendations in Alberta's Tomorrow Project participants stratified by risk. | Solbak NM et al. | — | 2018 | → |
| Patterns of body image concerns in adolescence and early adulthood: A latent profile analysis. | Hoffmann S et al. | — | 2018 | → |
| Psychometric Summary of the Technology-Delivered Tension Scales for Weight Management. | Kramer-Jackman KL et al. | — | 2018 | → |
| Radiographic knee osteoarthritis impacts multiple dimensions of health-related quality of life: data from the Osteoarthritis Initiative. | Wilson R et al. | — | 2018 | → |
| Stress, Anxiety, and Weight Gain among University and College Students: A Systematic Review. | Haidar SA et al. | — | 2018 | → |
| The Association Between Differing Grip Strength Measures and Mortality and Cerebrovascular Event in Older Adults: National Health and Aging Trends Study. | Whitney DG et al. | — | 2018 | → |
| The physical and mental health burden of obesity in U.S. veterans: Results from the National Health and Resilience in Veterans Study. | Stefanovics EA et al. | — | 2018 | → |
| US National Health and Nutrition Examination Survey Arthritis Initiatives, Methodologies and Data. | Dillon CF et al. | — | 2018 | → |
| Validity of self-reported weight, height, and body mass index among African American breast cancer survivors. | Qin B et al. | — | 2018 | → |
| Who perceives a higher personal risk of developing type 2 diabetes? A cross-sectional study on associations between personality traits, health-related behaviours and perceptions of susceptibility among university students in Denmark. | Skøt L et al. | — | 2018 | → |
| Accuracy of self-reported height, weight and waist circumference in a Japanese sample. | Okamoto N et al. | — | 2017 | → |
| A doubly robust estimator for the average treatment effect in the context of a mean-reverting measurement error. | Lenis D et al. | — | 2017 | → |
| Alcohol and binge eating as mediators between posttraumatic stress disorder symptom severity and body mass index. | Cronce JM et al. | — | 2017 | → |
| Association between prepregnancy obesity and metabolic risk in Chilean premenopausal women 10 y postpartum. | Garmendia ML et al. | — | 2017 | → |
| Association Between Weekend Catch-up Sleep and Lower Body Mass: Population-Based Study. | Im HJ et al. | — | 2017 | → |
| Body mass index as a predictor of healthy and disease-free life expectancy between ages 50 and 75: a multicohort study. | Stenholm S et al. | — | 2017 | → |
| Body Mass Index-Related Mortality in Patients with Type 2 Diabetes and Heterogeneity in Obesity Paradox Studies: A Dose-Response Meta-Analysis. | Kwon Y et al. | — | 2017 | → |
| Community BMI Surveillance Using an Existing Immunization Registry in San Diego, California. | Ratigan AR et al. | — | 2017 | → |
| Coronary artery bypass graft patients' perception about the risk factors of illness: Educational necessities of second prevention. | Soroush A et al. | — | 2017 | → |
| Does an elite education benefit health? Findings from the 1970 British Cohort Study. | Bann D et al. | — | 2017 | → |
| Does higher education protect against obesity? Evidence using Mendelian randomization. | Böckerman P et al. | — | 2017 | → |
| Early Parturition: Is Young Maternal Age at First Birth Associated with Obesity? | Patchen L et al. | — | 2017 | → |
| Eating behaviour disorders among adolescents in a middle school in Dongfanghong, China. | Feng T et al. | — | 2017 | → |
| Ethnic-group socioeconomic status as an indicator of community-level disadvantage: A study of overweight/obesity in Asian American adolescents. | Cook WK et al. | — | 2017 | → |
| Filling the gaps in SARDs research: collection and linkage of administrative health data and self-reported survey data for a general population-based cohort of individuals with and without diagnoses of systemic autoimmune rheumatic disease (SARDs) from British Columbia, Canada. | McCormick N et al. | — | 2017 | → |
| Food Hardship and Obesity in a Sample of Low-Income Immigrants. | Caspi CE et al. | — | 2017 | → |
| Gardening and age-related weight gain: Results from a cross-sectional survey of Denver residents. | Litt JS et al. | — | 2017 | → |
| Gender and Ethnic Differences in the Association Between Body Image Dissatisfaction and Binge Eating Disorder among Blacks. | Blostein F et al. | — | 2017 | → |
| Gender Disparities in the Food Insecurity-Overweight and Food Insecurity-Obesity Paradox among Low-Income Older Adults. | Hernandez DC et al. | — | 2017 | → |
| How accurate are self-reported height and weight in the seriously mentally ill? | Zhou EK et al. | — | 2017 | → |
| Increased body mass index is a risk factor for end-stage renal disease in the Chinese Singapore population. | Lew QJ et al. | — | 2017 | → |
| Integrating eating disorder-specific risk factors into the acquired preparedness model of dysregulated eating: A moderated mediation analysis. | Racine SE et al. | — | 2017 | → |
| Maternal underweight and obesity and risk of orofacial clefts in a large international consortium of population-based studies. | Kutbi H et al. | — | 2017 | → |
| Modelling Gender Differences in the Economic and Social Influences of Obesity in Australian Young People. | Avsar G et al. | — | 2017 | → |
| Obesity Trends Among US Adults With Doctor-Diagnosed Arthritis 2009-2014. | Barbour KE et al. | — | 2017 | → |
| [Outcomes of patients with breast cancer in function of their body mass index]. | Boivin L et al. | — | 2017 | → |
| Predictors of BMI Vary along the BMI Range of German Adults - Results of the German National Nutrition Survey II. | Moon K et al. | — | 2017 | → |
| Prevalence and Trends in Lifetime Obesity in the U.S., 1988-2014. | Stokes A et al. | — | 2017 | → |
| The association between weight perception and BMI: report and measurement data from the growing up in Ireland Cohort Study of 9-year olds. | Shiely F et al. | — | 2017 | → |
| The impact of overweight/obesity duration and physical activity on telomere length: An application of the WATCH paradigm. | Dankel SJ et al. | — | 2017 | → |
| The Prevalence of Past 12-Month and Lifetime DSM-IV Eating Disorders by BMI Category in US Men and Women. | Duncan AE et al. | — | 2017 | → |
| Variations in the Prevalence of Obesity Among European Countries, and a Consideration of Possible Causes. | Blundell JE et al. | — | 2017 | → |
| Waist/Hip Ratio Better Predicts Development of Severe Liver Disease Within 20 Years Than Body Mass Index: A Population-based Cohort Study. | Andreasson A et al. | — | 2017 | → |
| Weight fluctuation during adulthood and weight gain since breast cancer diagnosis predict multiple dimensions of body image among rural breast cancer survivors. | Fazzino TL et al. | — | 2017 | → |
| You can be too thin (but not too tall): Social desirability bias in self-reports of weight and height. | Burke MA et al. | — | 2017 | → |
| Accuracy of self-reported height, weight, and waist circumference in a general adult Chinese population. | Lu S et al. | — | 2016 | → |
| A comparison of the dietary patterns derived by principal component analysis and cluster analysis in older Australians. | Thorpe MG et al. | — | 2016 | → |
| Assessing patients' and GPs' ability to recognise overweight and obesity. | Wong C et al. | — | 2016 | → |
| Associations between frequency of food shopping at different store types and diet and weight outcomes: findings from the NEWPATH study. | Minaker LM et al. | — | 2016 | → |
| BMI and healthy life expectancy in old and very old women. | Leigh L et al. | — | 2016 | → |
| BMI is not related to altruism, fairness, trust or reciprocity: Experimental evidence from the field and the lab. | Brañas-Garza P et al. | — | 2016 | → |
| Differences in pre-conception and pregnancy healthy lifestyle advice by maternal BMI: Findings from a cross sectional survey. | Bye A et al. | — | 2016 | → |
| Emotional Eating Mediates the Relationship Between Role Stress and Obesity in Clergy. | Manister NN et al. | — | 2016 | → |
| Ethnicity, socioeconomic status, and overweight in Asian American adolescents. | Cook WK et al. | — | 2016 | → |
| Feasibility and validity of a statistical adjustment to reduce self-report bias of height and weight in wave 1 of the Add Health study. | Liechty JM et al. | — | 2016 | → |
| Health behaviors and demographic factors of chronic health conditions among elderly veteran men. | Tran TV et al. | — | 2016 | → |
| Health care costs attributable to overweight calculated in a standardized way for three European countries. | Lette M et al. | — | 2016 | → |
| Heavy Smoking Is More Strongly Associated with General Unhealthy Lifestyle than Obesity and Underweight. | Lohse T et al. | — | 2016 | → |
| How Dangerous Is Obesity? Issues in Measurement and Interpretation. | Stokes A et al. | — | 2016 | → |
| Long-term self-reported exposure to occupational noise is associated with BMI-defined obesity in the US general population. | Dzhambov AM et al. | — | 2016 | → |
| Neighborhood socioeconomic disadvantage modifies the relationship between weight status and weight-related satisfaction. | Feng X et al. | — | 2016 | → |
| Obesity or diabetes: which is more hazardous to the health of the offspring? | Langer O | — | 2016 | → |
| Overeating at dinner time among Japanese workers: Is overeating related to stress response and late dinner times? | Suzuki A et al. | — | 2016 | → |
| Overeating, late dinner, and perceived stress in Japanese workers. | Suzuki A et al. | — | 2016 | → |
| Overweight and obesity epidemic in Ghana-a systematic review and meta-analysis. | Ofori-Asenso R et al. | — | 2016 | → |
| Physical activity and awareness in breast screening attendees in Black Country, UK. | Lahart IM et al. | — | 2016 | → |
| Prediction of Body Mass Index Using Concurrently Self-Reported or Previously Measured Height and Weight. | Cui Z et al. | — | 2016 | → |
| Retail food environments research in Canada: A scoping review. | Minaker LM et al. | — | 2016 | → |
| School- and Individual-level Predictors of Weight Status Misperception among Korean Adolescents: A National Online Survey. | Kim Y et al. | — | 2016 | → |
| Self-esteem, diet self-efficacy, body mass index, and eating disorders: modeling effects in an ethnically diverse sample. | Saunders JF et al. | — | 2016 | → |
| Social Activities, Socioeconomic Factors, and Overweight Status Among Middle-Aged and Older Korean Adults: A Cross-Sectional Study. | Noh JW et al. | — | 2016 | → |
| Speed of eating and 3-year BMI change: a nationwide prospective study of mid-age women. | Leong SL et al. | — | 2016 | → |
| The Association Between Body Mass Index and Presenting Symptoms in African American Women with Ovarian Cancer. | Erondu CO et al. | — | 2016 | → |
| The effect of metropolitan-area mortgage delinquency on health behaviors, access to health services, and self-rated health in the United States, 2003-2010. | Charters TJ et al. | — | 2016 | → |
| The Role of Marital Status in Physical Activity Among African American and White Men. | Porch TC et al. | — | 2016 | → |
| Tracking of body mass index from 7 to 69 years of age. | Aarestrup J et al. | — | 2016 | → |
| Trajectories of body mass indices and development of frailty: Evidence from the health and retirement study. | Mezuk B et al. | — | 2016 | → |
| Using Walk Score™ and Neighborhood Perceptions to Assess Walking Among Middle-Aged and Older Adults. | Towne SD et al. | — | 2016 | → |
| Weekday-weekend patterns of physical activity and screen time in parents and their pre-schoolers. | Sigmundová D et al. | — | 2016 | → |
| Weight-Control Methods, 3-Year Weight Change, and Eating Behaviors: A Prospective Nationwide Study of Middle-Aged New Zealand Women. | Leong SL et al. | — | 2016 | → |
| Accuracy of self-reported and measured anthropometric data in the inpatient population. | Babiarczyk B et al. | — | 2015 | → |
| Are the elements of the proposed ozone National Ambient Air Quality Standards informed by the best available science? | Goodman JE et al. | — | 2015 | → |
| Associations between body mass and papillary thyroid cancer stage and tumor size: a population-based study. | Dieringer P et al. | — | 2015 | → |
| Body mass index and health care utilization in diabetic and nondiabetic individuals. | Jerant A et al. | — | 2015 | → |
| Body mass index and health status in diabetic and non-diabetic individuals. | Jerant A et al. | — | 2015 | → |
| Body mass index and participation in organized mammographic screening: a prospective cohort study. | Hellmann SS et al. | — | 2015 | → |
| Built environment and active play among Washington DC metropolitan children: A protocol for a cross-sectional study. | Roberts JD et al. | — | 2015 | → |
| Diet and obesity in Los Angeles County 2007-2012: Is there a measurable effect of the 2008 "Fast-Food Ban"? | Sturm R et al. | — | 2015 | → |
| Effects of categorization and self-report bias on estimates of the association between obesity and mortality. | Preston SH et al. | — | 2015 | → |
| Ethnic density and obesity: evidence from fixed-effects models. | Moloney KL et al. | — | 2015 | → |
| Exploring racial differences in the obesity gender gap. | Seamans MJ et al. | — | 2015 | → |
| Factors associated with higher sitting time in general, chronic disease, and psychologically-distressed, adult populations: findings from the 45 & up study. | Plotnikoff RC et al. | — | 2015 | → |
| Gender, sleep problems, and obesity in Taiwan: a propensity-score-matching approach. | Chen DR et al. | — | 2015 | → |
| Gender, stress in childhood and adulthood, and trajectories of change in body mass. | Liu H et al. | — | 2015 | → |
| Health Care Utilization by Body Mass Index in a Pediatric Population. | Lynch BA et al. | — | 2015 | → |
| Maternal Obesity During Pregnancy Associates With Premature Mortality and Major Cardiovascular Events in Later Life. | Lee KK et al. | — | 2015 | → |
| Mexican American adolescents' sleep patterns: contextual correlates and implications for health and adjustment in young adulthood. | Kuo SI et al. | — | 2015 | → |
| Neighborhood Food Environment, Diet, and Obesity Among Los Angeles County Adults, 2011. | Mejia N et al. | — | 2015 | → |
| Overweight, obesity and risk of all-cause and cardiovascular mortality in patients with type 2 diabetes mellitus: a dose-response meta-analysis of prospective cohort studies. | Liu XM et al. | — | 2015 | → |
| Parent preferences for telephone coaching to prevent and manage childhood obesity. | Blaine RE et al. | — | 2015 | → |
| Potential factors associated with perceived cognitive impairment in breast cancer survivors. | Myers JS et al. | — | 2015 | → |
| Productivity or discrimination? An economic analysis of excess-weight penalty in the Swedish labor market. | Dackehag M et al. | — | 2015 | → |
| Relation between overweight/obesity and self-rated health among adolescents in Germany. Do socio-economic status and type of school have an impact on that relation? | Krause L et al. | — | 2015 | → |
| Relationships Between Body Image, Body Composition, Sexual Functioning, and Sexual Satisfaction Among Heterosexual Young Adults. | Milhausen RR et al. | — | 2015 | → |
| Sex-Specific Predictors of Intra-articular Injuries Observed During Anterior Cruciate Ligament Reconstruction. | Kluczynski MA et al. | — | 2015 | → |
| The relationship between obesity and quality of life in Brazilian adults. | Pimenta FB et al. | — | 2015 | → |
| Validity of self-reported body mass index among middle-aged participants in the Norwegian Women and Cancer study. | Skeie G et al. | — | 2015 | → |
| Validity over time of self-reported anthropometric variables during follow-up of a large cohort of UK women. | Wright FL et al. | — | 2015 | → |
| Weight change in breast cancer survivors compared to cancer-free women: a prospective study in women at familial risk of breast cancer. | Gross AL et al. | — | 2015 | → |
| What Role Does Sleep Play in Weight Gain in the First Semester of University? | Roane BM et al. | — | 2015 | → |
| 50-year trends in US socioeconomic inequalities in health: US-born Black and White Americans, 1959-2008. | Krieger N et al. | — | 2014 | → |
| Accuracy of self-reported versus measured weight over adolescence and young adulthood: findings from the national longitudinal study of adolescent health, 1996-2008. | Clarke P et al. | — | 2014 | → |
| Area level deprivation is an independent determinant of prevalent type 2 diabetes and obesity at the national level in Germany. Results from the National Telephone Health Interview Surveys 'German Health Update' GEDA 2009 and 2010. | Maier W et al. | — | 2014 | → |
| A rigorous algorithm to detect and clean inaccurate adult height records within EHR systems. | Muthalagu A et al. | — | 2014 | → |
| Association of weight misperception with weight loss in a diabetes prevention program. | Hernan AL et al. | — | 2014 | → |
| Body-Mass Index and All-Cause Mortality in US Adults With and Without Diabetes. | Jackson CL et al. | — | 2014 | → |
| Body-mass index and mortality risk in U.S. blacks compared to whites. | Jackson CL et al. | — | 2014 | → |
| Body mass index through self-reported data and body image perception in Spanish adults attending dietary consultation. | Acevedo P et al. | — | 2014 | → |
| Classification tree analyses reveal limited potential for early targeted prevention against childhood overweight. | Beyerlein A et al. | — | 2014 | → |
| Co-morbidity and predictors of health status in older rural breast cancer survivors. | Azuero A et al. | — | 2014 | → |
| Diabetes-specific emotional distress in people with Type 2 diabetes: a comparison between primary and secondary care. | Stoop CH et al. | — | 2014 | → |
| Environments perceived as obesogenic have lower residential property values. | Drewnowski A et al. | — | 2014 | → |
| Identifying patients at risk for high medical costs and good candidates for obesity intervention. | Snider JT et al. | — | 2014 | → |
| Identifying persons at risk for developing type 2 diabetes in a concentrated population of high risk ethnicities in Canada using a risk assessment questionnaire and point-of-care capillary blood HbA1c measurement. | Rowan CP et al. | — | 2014 | → |
| Increased maternal BMI is associated with infant wheezing in early life: a prospective cohort study. | de Vries A et al. | — | 2014 | → |
| Low-income women's conceptualizations of emotional- and stress-eating. | Hayman LW et al. | — | 2014 | → |
| Meal timing influences daily caloric intake in healthy adults. | Reid KJ et al. | — | 2014 | → |
| Mortality risk associated with underweight: a census-linked cohort of 31,578 individuals with up to 32 years of follow-up. | Roh L et al. | — | 2014 | → |
| Mortality risks associated with average drinking level and episodic heavy drinking. | Schoenborn CA et al. | — | 2014 | → |
| Obesity and symptoms and quality of life indicators of individuals with disabilities. | Salem R et al. | — | 2014 | → |
| Obesity during childhood and adolescence increases susceptibility to multiple sclerosis after accounting for established genetic and environmental risk factors. | Gianfrancesco MA et al. | — | 2014 | → |
| Predictors of new-onset widespread pain in older adults: results from a population-based prospective cohort study in the UK. | McBeth J et al. | — | 2014 | → |
| Prevalence of obesity among U.S. workers and associations with occupational factors. | Luckhaupt SE et al. | — | 2014 | → |
| Relationship Between Obesity and Driving. | Kay GG et al. | — | 2014 | → |
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