The Validity of Self-Reports of Past Body Weights by U.S. Adults

Perry, Geraldine S.; Byers, Tim; Mokdad, Ali H.; Serdula, Mary K.; Williamson, David F.

doi:10.1097/00001648-199501000-00012

Cited by 244 publications

(200 citation statements)

References 21 publications

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“…Our results are consistent with results reported from other studies in terms of the ability to recall past measures of body size (9 -13,22), where correlations between actual and recalled weight range from 0.74 (22) to 0.99 (11). None of these studies asked subjects to recall body size at the time of menarche; however, several studies asked about body weight at age 18 years.…”

Section: Discussionsupporting

confidence: 92%

“…Using data from the National Health and Nutrition Examination Survey I Epidemiological Follow-Up Study, Perry et al (22) found that women who were overweight at the time of the follow-up interview (average follow-up period was 10 years) tended to underestimate past weight and that women who had lost weight since the baseline assessment tended to underestimate past weight more than women with stable weight or weight gain. Casey et al (11) found that women consistently underreported past weight, regardless of current body size.…”

Section: Discussionmentioning

confidence: 99%

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Ability of Young Women to Recall Past Body Size and Age at Menarche

2001

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KOPROWSKI, CAROL, RALPH J. COATES, AND LESLIE BERNSTEIN. Ability of young women to recall past body size and age at menarche. Obes Res. 2001;9: 478 -485. Objective: The ability of young women (n ϭ 132, average age 17 years) to recall body size and age at menarche was examined. The use of body silhouettes to assist women in recalling their body size at menarche and to represent their current body size was also evaluated. Research Methods and Procedures: Subjects, who previously participated in a cohort study, were asked to recall height and weight at the time of menarche, to select body silhouettes that best reflected their body shape at the time of menarche and their current body shape, and to recall age at menarche. Two sets of body silhouettes were developed, one representative of an adult body shape and another representative of an adolescent body shape. Results: Pearson correlation coefficients between the adult and adolescent body figures and actual body mass index (BMI; kg/m 2 ) at the time of menarche were not significantly different (r ϭ 0.82 for adult figures vs. r ϭ 0.72 for adolescent figures, p Ͼ 0.05). The correlation between actual BMI at the time of menarche and body silhouette (r ϭ 0.77, all subjects) was similar to the correlation between actual and recalled BMI at the time of menarche (r ϭ 0.83) as well as the correlation between current BMI and current body silhouette (r ϭ 0.75). Recalled and actual ages at menarche were highly correlated (r ϭ 0.83). Discussion: The recall of body shape was considered to be a less precise measure of body size than asking about height and weight, but use of body silhouettes may offer advantages in certain situations.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Ability of Young Women to Recall Past Body Size and Age at Menarche

2001

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“…This is a major weakness of the study, as we know that self-reported body weight tends to be underestimated. 31 In our study, this would mean that people were falsely categorized into the stable weight group, who in fact had gained 5 kg or more. Such under-reporting would lead to an underestimation of the true odds ratio.…”

Section: Short-term Weight Change and Hypertension M Schulz Et Almentioning

confidence: 77%

Associations of short-term weight changes and weight cycling with incidence of essential hypertension in the EPIC-Potsdam Study

et al. 2004

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The aim of this study was to examine the relationships of short-term weight gain, weight loss, and weight cycling on the odds of developing hypertension. Normotensive middle-aged German men and women (n ¼ 12 362) of the European Prospective Investigation into Cancer and Nutrition-Potsdam Study were assigned to categories of 2-year short-term weight changes that were self-reported to have occurred prior to recruitment into the study (gain only, loss only, weight cycling, stable). After 2 years of follow-up after recruitment, 180 cases of incident essential hypertension were identified. In logistic regression models, odds ratios were estimated for the associations between short-term weight changes and risk of developing hypertension. Obesity status (BMIX30 or BMIo30 kg/m 2 ) modified the associations between short-term weight change and incidence of diagnosed hypertension. Among obese individuals, short-term weight gain occurring during the 2 years prior to recruitment (OR ¼ 2.79, 95% CI 1.19-6.56), weight loss (OR ¼ 6.74, 95% CI 2.58-17.6) and weight cycling (OR ¼ 4.29, 95% CI 1.55-11.9) were strongly positively associated with incident hypertension, adjusted for age and gender, compared to obese individuals with short-term stable weight. No significant associations between short-term weight changes and risk of diagnosed hypertension were detected among non-obese individuals. Short-term weight changes appeared to present strong risk factors for developing hypertension among obese individuals. The effect seen for weight cycling supports the hypothesis that weight cycling increases the risk of hypertension. The finding for short-term weight loss may be explained by subsequent weight regain and needs further investigation.

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“…20 This is a clinical tool used for nutritional screening of cancer patients and is completed at this clinic visit. Self-reported height, weight, and weight history have been found to be reliable measures in healthy adults 21,22 and cancer patients. 23 The PGSGA also includes a patient-reported version of the Eastern Cooperative Oncology Group (ECOG) performance status score.…”

Section: Ethical Approval Was Obtained From the Alberta Cancer Board mentioning

confidence: 99%

A comparison of charlson and elixhauser comorbidity measures to predict colorectal cancer survival using administrative health data

MSc

Baracos

Winget

et al. 2010

Cancer

136

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BACKGROUND: Cancer survival is related to features of the primary malignancy and concurrent presence of nonmalignant diseases (comorbidities), including weight-related conditions (obesity, weight loss). The Charlson and Elixhauser methods are 2 well-known methods that take comorbidities into account when explaining survival. They differ in both the number and categorization of comorbidities. METHODS: Cancer, comorbidity, and survival data were acquired from inpatient administrative hospital records in 574 colorectal cancer patients. Robust Poisson regression was used to analyze 2-and 3-year survival according to cancer features and comorbidities classified by the Charlson and Elixhauser methods. Data for weight-related conditions (body mass index, weight loss) and performance status were acquired upon a new patient visit to the regional cancer center. Discrimination was assessed with the concordance Overall, the Elixhauser comorbidities outperformed the Charlson comorbidities (P < .05). The use of self-reported weight and performance status data significantly increased discrimination by the Elixhauser method in 2-year but not 3-year survival. CONCLUSIONS: The Elixhauser method is a superior comorbidity risk-adjustment model for colorectal cancer survival prediction.

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The Validity of Self-Reports of Past Body Weights by U.S. Adults

Cited by 244 publications

References 21 publications

Ability of Young Women to Recall Past Body Size and Age at Menarche

Ability of Young Women to Recall Past Body Size and Age at Menarche

Associations of short-term weight changes and weight cycling with incidence of essential hypertension in the EPIC-Potsdam Study

A comparison of charlson and elixhauser comorbidity measures to predict colorectal cancer survival using administrative health data

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