Estimating equations to correct self‐reported height and weight: implications for prevalence of overweight and obesity in Australia

Hayes, Alison; Kortt, Michael A.; Clarke, Philip; Brandrup, Jason D.

doi:10.1111/j.1753-6405.2008.00306.x

Cited by 44 publications

(64 citation statements)

References 10 publications

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“…Similarly, corrected height and weight concordance with respective self-reported values also improved, corroborating results of previous studies. 5, 23 Hayes et al, 24 after correcting self-reported weight and height, found that overweight and obesity prevalence CIs estimated from the corrected values were superior to those calculated from selfreported values.…”

Section: Discussionmentioning

confidence: 92%

Can self-reported height and weight be used among people living with HIV/AIDS?

Duran¹,

Florindo

Jaime³

2012

Int J STD AIDS

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To assess the reliability and validity of self-reported height and weight in adults living with HIV/AIDS (ALWHA) we assessed 508 ALWHA of both genders on antiretroviral therapy. Height and weight were directly measured in a subsample. Sensitivity and specificity analysis were performed to determine the validity of self-reported measures. Bland-Altman's method was used to calculate the limits of agreement between values while reliability was assessed using intraclass coefficients. Regression equations were devised to determine actual measures from self-reported values. Mean differences among measured and self-reported weight were -0.96 kg for men and -0.54 kg for women. Mean height differences were less than 2 cm, yielding good reliability for body mass index (BMI). Overweight (BMI ≥ 25 kg/m(2)) diagnosis sensitivity was 90.6% and specificity was 81.2%. Corrected measures determined by regression equations had stronger correlation with self-reported values (r> 0.980). Self-reported height and weight showed good reliability and validity compared with directly measured height and weight. However, measures should be corrected whenever possible to achieve higher accuracy.

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Section: Discussionmentioning

confidence: 92%

Can self-reported height and weight be used among people living with HIV/AIDS?

Duran¹,

Florindo

Jaime³

2012

Int J STD AIDS

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“…Although studies from some countries estimate that self-report is a valid and accurate method, 10,16,17 others consider it unreliable. 1,3,18,19 An assessment of the U.S. population in the National Health and Nutrition Examination Survey (NHANES) II determined that self-reported BMI in Mexican Americans significantly underestimated the true prevalence of overweight and obesity independently of other variables. 4 Our results in South Florida menopausal women show an underestimation of weight and overestimation of height, with no significant differences between Hispanic and nonHispanic women.…”

Section: Discussionmentioning

confidence: 99%

Self-Reported Versus Measured Height and Weight in Hispanic and Non-Hispanic Menopausal Women

Griebeler

Levis

Beringer

et al. 2011

Journal of Women's Health

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Background: Height and weight information is commonly used in clinical trials and in making therapeutic decisions in medical practice. In both settings, the data are often obtained by self-report. If erroneous, this practice could lead to inaccuracies in estimating renal function and medication doses or to inaccurate outcomes of research studies. Previous publications have reported lack of reliability of self-reported weight and height in the general population but have not addressed age-specific and ethnicity-specific subgroups in the U.S. population. The inaccuracy of self-reported weight and height could be particularly significant in times of considerable changes in body weight, such as at menopause, which is often associated with weight gain. Methods: We assessed the validity of self-reported height and weight in 428 women within the first 5 years of menopause, 70.6% of whom were Hispanic. Results: Participants overestimated their height by 2.2 -3.5 cm (mean -standard deviation [SD]) and underestimated their weight by 1.5 -2.9 kg. As a group, based on self-reported measures, 33.3% were misclassified with respect to body mass index (BMI) category, and the difference between measured BMI and self-reported BMI was similar between Hispanic white and non-Hispanic white women, positively related to measured weight, and inversely related to measured height, years from menopause, and multiple parity. Conclusions: From the public health perspective, inaccurate self-report could lead to a considerable underestimation of the current obesity prevalence rates. In our study population, the prevalence of obesity (BMI ‡ 30 kg/m

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“…This is also consistent with CATI field tests (Irvine et al 2004). Other studies have shown that self-reported height and weight underestimates BMI (Taylor et al 2006;Hayes et al 2008). It appears that, at least for adults, the perceived height and weight are features that the respondent is consistent about and does not feel any need or desire to check.…”

Section: Discussionmentioning

confidence: 99%

Using risk factor surveillance as a basis for mixed-methodology research: an example from Australia using food intake and anthropometric measures

Daly

Parsons

Wood

et al. 2010

Int J Public Health

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The telephone survey was a useful way to recruit people to the postal survey; this could be due to the high level of trust gained through the telephone interview, or social desirability bias. It is difficult to ascertain why different results on fruit and vegetable intake were obtained, but it may be associated with understanding of the parameters of a 'serve', recall bias or the time taken to calculate an answer.

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Estimating equations to correct self‐reported height and weight: implications for prevalence of overweight and obesity in Australia

Cited by 44 publications

References 10 publications

Can self-reported height and weight be used among people living with HIV/AIDS?

Can self-reported height and weight be used among people living with HIV/AIDS?

Self-Reported Versus Measured Height and Weight in Hispanic and Non-Hispanic Menopausal Women

Using risk factor surveillance as a basis for mixed-methodology research: an example from Australia using food intake and anthropometric measures

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