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The validity of obesity based on self-reported weight and height: Implications for population studies.
Obesity (Silver Spring). 2007 Jan; 15(1):197-208.O

Abstract

OBJECTIVE

To validate self-reported information on weight and height in an adult population and to find a useful algorithm to assess the prevalence of obesity based on self-reported information.

RESEARCH METHODS AND PROCEDURES

This was a cross-sectional survey consisting of 1703 participants (860 men and 843 women, 30 to 75 years old) conducted in the community of Vara, Sweden, from 2001 to 2003. Self-reported weight, height, and corresponding BMI were compared with measured data. Obesity was defined as measured BMI > or = 30 kg/m2. Information on education, self-rated health, smoking habits, and physical activity during leisure time was collected by a self-administered questionnaire.

RESULTS

Mean differences between measured and self-reported weight were 1.6 kg (95% confidence interval, 1.4; 1.8) in men and 1.8 kg (1.6; 2.0) in women (measured higher), whereas corresponding differences in height were -0.3 cm (-0.5; -0.2) in men and -0.4 cm (-0.5; -0.2) in women (measured lower). Age and body size were important factors for misreporting height, weight, and BMI in both men and women. Obesity (measured) was found in 156 men (19%) and 184 women (25%) and with self-reported data in 114 men (14%) and 153 women (20%). For self-reported data, the sensitivity of obesity was 70% in men and 82% in women, and when adjusted for corrected self-reported data and age, it increased to 81% and 90%, whereas the specificity decreased from 99% in both sexes to 97% in men and 98% in women.

DISCUSSION

The prevalence of obesity based on self-reported BMI can be estimated more accurately when using an algorithm adjusted for variables that are predictive for misreporting.

Authors+Show Affiliations

Skaraborg Institute, Skovde, Sweden.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't
Validation Study

Language

eng

PubMed ID

17228048

Citation

Nyholm, Maria, et al. "The Validity of Obesity Based On Self-reported Weight and Height: Implications for Population Studies." Obesity (Silver Spring, Md.), vol. 15, no. 1, 2007, pp. 197-208.
Nyholm M, Gullberg B, Merlo J, et al. The validity of obesity based on self-reported weight and height: Implications for population studies. Obesity (Silver Spring). 2007;15(1):197-208.
Nyholm, M., Gullberg, B., Merlo, J., Lundqvist-Persson, C., Råstam, L., & Lindblad, U. (2007). The validity of obesity based on self-reported weight and height: Implications for population studies. Obesity (Silver Spring, Md.), 15(1), 197-208.
Nyholm M, et al. The Validity of Obesity Based On Self-reported Weight and Height: Implications for Population Studies. Obesity (Silver Spring). 2007;15(1):197-208. PubMed PMID: 17228048.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - The validity of obesity based on self-reported weight and height: Implications for population studies. AU - Nyholm,Maria, AU - Gullberg,Bo, AU - Merlo,Juan, AU - Lundqvist-Persson,Cristina, AU - Råstam,Lennart, AU - Lindblad,Ulf, PY - 2007/1/18/pubmed PY - 2007/3/21/medline PY - 2007/1/18/entrez SP - 197 EP - 208 JF - Obesity (Silver Spring, Md.) JO - Obesity (Silver Spring) VL - 15 IS - 1 N2 - OBJECTIVE: To validate self-reported information on weight and height in an adult population and to find a useful algorithm to assess the prevalence of obesity based on self-reported information. RESEARCH METHODS AND PROCEDURES: This was a cross-sectional survey consisting of 1703 participants (860 men and 843 women, 30 to 75 years old) conducted in the community of Vara, Sweden, from 2001 to 2003. Self-reported weight, height, and corresponding BMI were compared with measured data. Obesity was defined as measured BMI > or = 30 kg/m2. Information on education, self-rated health, smoking habits, and physical activity during leisure time was collected by a self-administered questionnaire. RESULTS: Mean differences between measured and self-reported weight were 1.6 kg (95% confidence interval, 1.4; 1.8) in men and 1.8 kg (1.6; 2.0) in women (measured higher), whereas corresponding differences in height were -0.3 cm (-0.5; -0.2) in men and -0.4 cm (-0.5; -0.2) in women (measured lower). Age and body size were important factors for misreporting height, weight, and BMI in both men and women. Obesity (measured) was found in 156 men (19%) and 184 women (25%) and with self-reported data in 114 men (14%) and 153 women (20%). For self-reported data, the sensitivity of obesity was 70% in men and 82% in women, and when adjusted for corrected self-reported data and age, it increased to 81% and 90%, whereas the specificity decreased from 99% in both sexes to 97% in men and 98% in women. DISCUSSION: The prevalence of obesity based on self-reported BMI can be estimated more accurately when using an algorithm adjusted for variables that are predictive for misreporting. SN - 1930-7381 UR - https://www.unboundmedicine.com/medline/citation/17228048/The_validity_of_obesity_based_on_self_reported_weight_and_height:_Implications_for_population_studies_ L2 - https://doi.org/10.1038/oby.2007.536 DB - PRIME DP - Unbound Medicine ER -