Adjusting Divergences between Self-reported and Measured Height and Weight in an Adult Canadian Population

Sagna, Marguerite L.; Schopflocher, Donald; Raine, Kim D.; Nykiforuk, Candace I. J.; Plotnikoff, Ronald C.

doi:10.5993/ajhb.37.6.13

Cited by 6 publications

(7 citation statements)

References 24 publications

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“…However, we were unable to obtain in-person anthropometry assessments in wave 3 due to the COVID-19 restrictions, and instead collected self-reports of height and weight. We plan to use statistical techniques such as regression calibration techniques [ 50 , 51 ] to “correct” for bias in self-report data using height and weight measurements and self-reports from respondents in other waves of the study. In terms of other impacts on our study, the pandemic has led to a slight delay in the redevelopment timeline since relocations were paused for several months in 2020.…”

Section: Discussionmentioning

confidence: 99%

Assessing impacts of redeveloping public housing communities on obesity in low-income minority residents: Rationale, study design, and baseline data from the Watts Neighborhood Health Study

Datar

Shier

Braboy

et al. 2022

Contemporary Clinical Trials Communications

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Introduction Obesogenic built- and social-environments in low-income and minority communities are often blamed for the higher rates of obesity in this population, but existing evidence is based largely on observational studies. This study leverages a natural experiment created by the redevelopment of a public housing community to examine the impact of major improvements to the housing, built, and social environments on obesity among residents. Methods/design The study design is a natural experiment where residents from the redeveloped community (treatment group) will be compared to those from a similar community (control group) in terms of their pre/post changes in primary outcomes using annual longitudinal data on a cohort of residents. Quasi-experimental variation in the timing of exposure to various redevelopment components within the treated community will be further leveraged within a stepped-wedge research design to assess the impact of the redevelopment components. Primary outcome measures include body mass index, overweight, and obese status. Results A cohort of 868 adults and 704 children (ages 2–17 years) was recruited during 2018–2019 with up to two waves of baseline data. At baseline, the prevalence of obesity (overweight or obesity) was 57.2% (81.3%) in adults and 33.1% (52.4%) among children, with no significant differences by treatment status. No differential trends in primary outcomes were observed by treatment status during the two years of baseline. Discussion This natural experiment study offers a unique opportunity to assess whether improvements to housing, built, and social environment in low-income minority communities can lead to reductions in obesity.

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Section: Discussionmentioning

confidence: 99%

Assessing impacts of redeveloping public housing communities on obesity in low-income minority residents: Rationale, study design, and baseline data from the Watts Neighborhood Health Study

Datar

Shier

Braboy

et al. 2022

Contemporary Clinical Trials Communications

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“…At the same time, the attitudinal component explores the individual’s feelings and thoughts they have about their body, such as body satisfaction and perceived attractiveness 13 15. Recent focus has turned to how misperception of body size and body dissatisfaction may be related to the development and management of obesity 16–21…”

Section: Introductionmentioning

confidence: 99%

Silhouette showcards confirm altered obesity-associated body image perception in international cohort study of African-origin populations

Choo-Kang,

Reese,

Micklesfield

et al. 2024

BMJ Open

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ObjectivesGiven the increasing prevalence of obesity and need for effective interventions, there is a growing interest in understanding how an individual’s body image can inform obesity prevention and management. This study’s objective was to examine the use of silhouette showcards to measure body size perception compared with measured body mass index, and assess body size dissatisfaction, in three different African-origin populations spanning the epidemiological transition. An ancillary objective was to investigate associations between body size perception and dissatisfaction with diabetes and hypertension.SettingResearch visits were completed in local research clinics in respective countries.ParticipantsSeven hundred and fifty-one African-origin participants from the USA and the Republic of Seychelles (both high-income countries), and Ghana (low/middle-income country).Primary and secondary outcome measuresSilhouette showcards were used to measure perceived body size and body size dissatisfaction. Objectively measured body size was measured using a scale and stadiometer. Diabetes was defined as fasting blood glucose ≥126 mg/dL and hypertension was defined as ≥130 mm Hg/80 mm Hg.ResultsMost women and men from the USA and Seychelles had ‘Perceived minus Actual weight status Discrepancy’ scores less than 0, meaning they underestimated their actual body size. Similarly, most overweight or obese men and women also underestimated their body size, while normal weight men and women were accurately able to estimate their body size. Finally, participants with diabetes were able to accurately estimate their body size and similarly desired a smaller body size.ConclusionsThis study highlights that overweight and obese women and men from countries spanning the epidemiological transition were unable to accurately perceive their actual body size. Understanding people’s perception of their body size is critical to implementing successful obesity prevention programmes across the epidemiological transition.

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“…Examples include surveys and studies in public health, anthropology, economics, and marketing that must be performed without direct contact with a respondent (e.g., mail-order or internet-based) or situations to avoid the burden of asking participants to remove clothing. Furthermore, self-reported adiposity (e.g., height and weight) is prone to reporting bias, depends on access to anthropometric tools like scales, and can be influenced by cultural views on body size [13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Utility of silhouette showcards to assess adiposity in three countries across the epidemiological transition

Reese

Bovet

Choo-Kang

et al. 2022

PLOS Glob Public Health

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The Pulvers’ silhouette showcards provide a non-invasive and easy-to-use way of assessing an individual’s body size perception using nine silhouette shapes. However, their utility across different populations has not been examined. This study aimed to assess: 1) the relationship between silhouette perception and measured anthropometrics, i.e., body mass index (BMI), waist circumference (WC), waist-height-ratio (WHtR), and 2) the ability to predict with silhouette showcards anthropometric adiposity measures, i.e., overweight and obesity (BMI ≥ 25 kg/m2), obesity alone (BMI ≥ 30 kg/m2), elevated WC (men ≥ 94 cm; women ≥ 80 cm), and WHtR (> 0.5) across the epidemiological transition. 751 African-origin participants, aged 20–68 years old, from the United States (US), Seychelles, and Ghana, completed anthropometrics and selected silhouettes corresponding to their perceived body size. Silhouette performance to anthropometrics was examined using a least-squares linear regression model. A receiver operator curve (ROC) was used to investigate the showcards ability to predict anthropometric adiposity measures. The relationship between silhouette ranking and BMI were similar between sexes of the same country but differed between countries: 3.65 [95% CI: 3.34–3.97] BMI units/silhouette unit in the US, 3.23 [2.93–3.74] in Seychelles, and 1.99 [1.72–2.26] in Ghana. Different silhouette cutoffs predicted obesity differently in the three countries. For example, a silhouette ≥ five had a sensitivity/specificity of 77.3%/90.6% to predict BMI ≥ 25 kg/m2 in the US, but 77.8%/85.9% in Seychelles and 84.9%/71.4% in Ghana. Ultimately, silhouettes predicted BMI, WC, and WHtR similarly within each country and sex but not across countries. Our data suggest that Pulvers’ silhouette showcards may be a helpful tool to predict anthropometric and adiposity measures in different populations when direct measurement cannot be performed. However, no universal silhouette cutoff can be used for detecting overweight or obesity status, and population-specific differences may stress the need to calibrate silhouette showcards when using them as a survey tool in different countries.

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Adjusting Divergences between Self-reported and Measured Height and Weight in an Adult Canadian Population

Abstract: We advocate the use of our correction equation whenever dealing with self-reported height and weight from telephone surveys to avoid potential distortions in estimating obesity prevalence.

Cited by 6 publications

References 24 publications

Assessing impacts of redeveloping public housing communities on obesity in low-income minority residents: Rationale, study design, and baseline data from the Watts Neighborhood Health Study

Assessing impacts of redeveloping public housing communities on obesity in low-income minority residents: Rationale, study design, and baseline data from the Watts Neighborhood Health Study

Silhouette showcards confirm altered obesity-associated body image perception in international cohort study of African-origin populations

Utility of silhouette showcards to assess adiposity in three countries across the epidemiological transition

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