Underestimation of Relative Weight by Use of Self-Reported Height and Weight

Stewart, Alistair; Jackson, Rod; Ford, Michael A.; Beaglehole, Robert

doi:10.1093/oxfordjournals.aje.a114494

Cited by 303 publications

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“…The null association found in the current study may be due to the sample being drawn from socio-economically disadvantaged areas. Our reliance on self-reported height and weight to calculate BMI may also explain the lack of an association, as individuals are more likely to overestimate their height and underestimate their weight (73)(74)(75)(76) , resulting in a lower calculated BMI.…”

Section: Discussionmentioning

confidence: 99%

Food insecurity among adults residing in disadvantaged urban areas: potential health and dietary consequences

Ramsey

Giskes

Turrell

et al. 2011

Public Health Nutr.

164

169

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Objective: Food insecurity is the limited or uncertain availability or access to nutritionally adequate, culturally appropriate and safe foods. Food insecurity may result in inadequate dietary intakes, overweight or obesity and the development of chronic disease. Internationally, few studies have focused on the range of potential health outcomes related to food insecurity among adults residing in disadvantaged locations and no such Australian studies exist. The objective of the present study was to investigate associations between food insecurity, sociodemographic and health factors and dietary intakes among adults residing in disadvantaged urban areas. Design: Data were collected by mail survey (n 505, 53 % response rate), which ascertained information about food security status, demographic characteristics (such as age, gender, household income, education) fruit and vegetable intakes, takeaway and meat consumption, general health, depression and chronic disease. Results: Approximately one in four households (25 %) was food insecure. Food insecurity was associated with lower household income, poorer general health, increased health-care utilisation and depression. These associations remained after adjustment for age, gender and household income. Conclusions: Food insecurity is prevalent in urbanised disadvantaged areas in developed countries such as Australia. Low-income households are at high risk of experiencing food insecurity. Food insecurity may result in significant health burdens among the population, and this may be concentrated in socio-economically disadvantaged suburbs.

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Section: Discussionmentioning

confidence: 99%

Food insecurity among adults residing in disadvantaged urban areas: potential health and dietary consequences

Ramsey

Giskes

Turrell

et al. 2011

Public Health Nutr.

164

169

View full text Add to dashboard Cite

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“…20 Another possible mechanism by which calcium intake reduces BMI would be by increased fecal fat excretion, as recently suggested by Jacobsen et al 24 This study has several limitations: height and weight were self-reported, leading to a possible underestimation of overweight and obesity. 25,26 Still, reported height and weight data have been used in other epidemiological studies 27 and the bias is conservative, since overweight or obese subjects (misclassified as normal or overweight, respectively) would tend to decrease milk consumption in normal and overweight groups, thus decreasing the magnitude of the observed differences. Another limitation is the scant information regarding diet, which precluded a better assessment of calcium intake of the subjects; for instance, there was no information regarding the consumption of other dairy products such as yogurt and cheese, or other calcium-rich foodstuffs.…”

Section: Discussionmentioning

confidence: 99%

Milk intake is inversely related to obesity in men and in young women: data from the Portuguese Health Interview Survey 1998–1999

Marques‐Vidal

Gonçalves

Dias³

2005

Int J Obes

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Objective: To assess the relationships between milk intake and body mass index (BMI) in a representative sample of the mainland Portuguese population. Design: Cross-sectional study. Setting: National Health Interview Survey 1998-1999. Average daily milk intake was calculated by a frequency questionnaire that also assessed the average volume of one serving. BMI was derived from the subject's reported height and weight. Subjects: A total of 17 771 men and 19 742 women aged X18 y. Results: In men, milk intake was inversely related to BMI (r ¼ À0.10, Po0.001), whereas the relationship in women was weaker (r ¼ À0.06, Po0.001). In men, prevalence of milk consumers was lower in obese (62%) and in overweight (68%) than in normal weight subjects (71%, Po0.001). After adjusting for age, region, physical activity, smoking, number of meals and educational level, milk intake decreased with increasing BMI (adjusted mean7s.e.: 28075, 26675 and 24677 ml/day for normal, overweight and obese subjects, respectively, Po0.001), even after excluding subjects who did not consume milk (36875, 35376 and 34678 ml/day, Po0.02). In women, prevalence of milk consumers was lower in obese (71%) and in overweight (72%) than in normal weight subjects (76%, Po0.001). In women younger than 55 y, milk intake decreased with increased BMI categories (29179, 271710 and 269711 ml/day for normal, overweight and obese subjects, respectively, Po0.001), whereas no relationship was found in the older group. Conclusions: Increased calcium intake is slightly but significantly negatively related with BMI in men and premenopausal women. The lack of relationship in older women might be due to the hormonal status, but awaits further investigation.

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“…Among men in all age groups and among women in the age groups below 50, the Cohen's w is less than 0.10, indicating no effect, but the OR show strong differences in most of the age groups both among males and females, and it must be kept in mind that margins for the effect size are somewhat arbitrary. The use of two independent samples may have contributed to the findings, indicating that there might be a bias in the report of the SR-MD divergence when using one sample (Millar, 1986;Stewart et al, 1987;Nieto-Garcia et al, 1990;Rowland, 1990;Kuskowska-Wolk et al, 1992;Roberts, 1995;Niedhammer et al, 2000;Kuczmarski et al, 2001;Engstrom et al, 2003).…”

Section: Discussionmentioning

confidence: 99%

“…However, large and consistent evidence shows that the BMI underestimates the proportions of overweight individuals among the general population when it is based on SR instead of MD data for body weight and height (Millar, 1986;Stewart et al, 1987;Nieto-Garcia et al, 1990;Rowland, 1990;Kuskowska-Wolk et al, 1992;Roberts, 1995;Niedhammer et al, 2000;Kuczmarski et al, 2001;Engstrom et al, 2003). The SR-MD divergence is larger among women than among men, the less educated the individuals are and the higher their BMI according to MD (Rowland, 1990;Niedhammer et al, 2000;Kuczmarski et al, 2001;Villanueva, 2001).…”

Section: Introductionmentioning

confidence: 99%

“…The study designs include nonclinical samples in which the BMI has been estimated on grounds of SR and MD data derived from the same individuals (Millar, 1986;Stewart et al, 1987;Nieto-Garcia et al, 1990;Rowland, 1990;Kuskowska-Wolk et al, 1992;Roberts, 1995;Niedhammer et al, 2000;Kuczmarski et al, 2001;Engstrom et al, 2003). This approach seems to be the most suitable way to achieve data about the SR-MD divergence.…”

Section: Introductionmentioning

confidence: 99%

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Validity of overweight and obesity in a nation based on self-report versus measurement device data

et al. 2005

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Objective: To analyze overweight and obesity in a nation by self-report (SR) data and by data about the target person provided via other household members compared to measurement devices (MD). The magnitude of hypothesized under-reporting by the SR data should be estimated with adjustment for age, gender, and education. Design: Two cross-sectional studies, nationally representative health examination surveys (response rates: 61.4 and 73.2%, respectively). Setting: Adult general population of Germany aged 20-79 years. Subjects: Sample 1 included 6806 residents. Samples 2 (n ¼ 98 673) and 3 (n ¼ 34 960) included residents in the second survey. Measurements: In sample 1 MD data were collected, in sample 2 SR data were collected, and in sample 3 body weight and height information was provided from another household member living together with the target person. Results: MD data revealed higher proportions of overweight and obesity compared to SR. Among women with body mass index (BMI) 35.00 or higher, the odds ratio (OR) was 3.9 (95% confidence interval, CI, 3.2-4.7), and among men 2.8 (CI, 2.2-3.6) for MD versus SR. Data from other household members also revealed higher proportions of overweight and obesity than SR (OR for BMI 35.00 or higher 2.1, CI, 1.7-2.5, for data from other household members versus SR in women and OR 1.3, CI, 1.1-1.5, in men).

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Underestimation of Relative Weight by Use of Self-Reported Height and Weight

Cited by 303 publications

References 0 publications

Food insecurity among adults residing in disadvantaged urban areas: potential health and dietary consequences

Food insecurity among adults residing in disadvantaged urban areas: potential health and dietary consequences

Milk intake is inversely related to obesity in men and in young women: data from the Portuguese Health Interview Survey 1998–1999

Validity of overweight and obesity in a nation based on self-report versus measurement device data

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