Advertisement

European Geriatric Medicine

, Volume 10, Issue 1, pp 151–154 | Cite as

Accuracy of body mass index measurements in community-dwelling older Japanese people based on self-reported anthropometric data

  • Naoto KamideEmail author
  • Miki Sakamoto
  • Yoshitaka Shiba
  • Haruhiko Sato
Brief Report
  • 8 Downloads

Abstract

Purpose

The aim was to assess the accuracy of body mass index (BMI) measurements in Japanese older people based on self-reported anthropometric data.

Methods

The study participants were 420 older people aged 65 years or older who were living independently in their communities. The participants’ BMIs were calculated based on height and weight values obtained from self-reported questionnaires and actual measurements. The concordance between self-reported and measured BMI values was then analyzed using intraclass correlation coefficients (ICCs) and 95% limits of agreement (95% LOA) stratified by sex.

Results

The ICCs were 0.964 in men and 0.970 in women; however, the 95% LOA were relatively broad, ranging from − 1.07 to 1.39 kg/m2 in men and from − 1.52 to 1.46 kg/m2 in women.

Conclusions

These findings suggest that BMI assessments in Japanese older people should be based on measured as opposed to self-reported values when investigating changes in BMI over time.

Keywords

Aged Anthropometric Body mass index Japanese Reliability 

Notes

Funding

This study was funded by JSPS KAKENHI (Grant number 16K21348). The funder played no role in the design, methods, recruitment, data collection, analysis, or preparation of the paper.

Compliance with ethical standards

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Ethical approval

All procedures that involved human participants in this study were performed in accordance with the ethical standards of the Institutional Review Board of the School of Allied Health Sciences at Kitasato University (approval number 2016-G021B) and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all participants.

References

  1. 1.
    Akune T, Muraki S, Oka H et al (2014) Incidence of certified need of care in the long-term care insurance system and its risk factors in the elderly of Japanese population-based cohorts: the ROAD study. Geriatr Gerontol Int 14:695–701.  https://doi.org/10.1111/ggi.12155 CrossRefGoogle Scholar
  2. 2.
    Grabowski DC, Ellis JE (2001) High body mass index does not predict mortality in older people: analysis of the longitudinal study of aging. J Am Geriatr Soc 49:968–979.  https://doi.org/10.1046/j.1532-5415.2001.49189.x CrossRefGoogle Scholar
  3. 3.
    Taylor DH, Østbye T (2001) The effect of middle-and old-age body mass index on short-term mortality in older people. J Am Geriatr Soc 49:1319–1326.  https://doi.org/10.1046/j.1532-5415.2001.49259.x CrossRefGoogle Scholar
  4. 4.
    Yamazaki K, Suzuki E, Yorifuji T (2017) Is there an obesity paradox in the Japanese elderly population? A community-based cohort study of 13 280 men and women. Geriatr Gerontol Int 17:1257–1264.  https://doi.org/10.1111/ggi.12851 CrossRefGoogle Scholar
  5. 5.
    Gorber SC, Tremblay M, Moher D, Gorber B (2007) A comparison of direct vs. self-report measures for assessing height, weight and body mass index: a systematic review. Obes Rev 8:307–326.  https://doi.org/10.1111/j.1467-789X.2007.00347.x CrossRefGoogle Scholar
  6. 6.
    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 15:197–208.  https://doi.org/10.1038/oby.2007.536 CrossRefGoogle Scholar
  7. 7.
    Krul AJ, Daanen HAM, Choi H (2010) Self-reported and measured weight, height and body mass index (BMI) in Italy, the Netherlands and North America. Eur J Public Health 21:414–419.  https://doi.org/10.1093/eurpub/ckp228 CrossRefGoogle Scholar
  8. 8.
    Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 327:307–310.  https://doi.org/10.1016/S0140-6736(86)90837-8 CrossRefGoogle Scholar
  9. 9.
    R Core Team (2015) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. https://www.R-project.org/. Accessed 4 Sep 2015
  10. 10.
    Pasalich M, Lee AH, Burke L, Jancey J, Howat P (2014) Accuracy of self-reported anthropometric measures in older Australian adults. Aust J Ageing 33:E27–E32.  https://doi.org/10.1111/ajag.12035 CrossRefGoogle Scholar
  11. 11.
    Butler R, McClinchy J, Morreale-Parker C, Marsh W, Rennie KL (2017) BMI calculation in older people: the effect of using direct and surrogate measures of height in a community-based setting. Clin Nutr ESPEN 22:112–115.  https://doi.org/10.1016/j.clnesp.2017.07.078 CrossRefGoogle Scholar
  12. 12.
    Leung K, Trevena L, Waters D (2012) Development of an appraisal tool to evaluate strength of an instrument or outcome measure. Nurse Res 20:13–19.  https://doi.org/10.7748/nr2012.11.20.2.13.c9436 CrossRefGoogle Scholar
  13. 13.
    Anai A, Ueda K, Harada K, Katoh T, Fukumoto K, Wei C-N (2015) Determinant factors of the difference between self-reported weight and measured weight among Japanese. Environ Health Prev Med 20:447–454.  https://doi.org/10.1007/s12199-015-0489-8 CrossRefGoogle Scholar
  14. 14.
    Shibata H, Shibata N (2017) Malnutrition in Japan is threatening longevity in the future. J Gerontol Geriatr Med 3:12.  https://doi.org/10.24966/GGM-8662/100012 Google Scholar
  15. 15.
    Cai L, Zhang T, Ma J, Ma L, Jing J, Chen Y (2017) Self-perception of weight status and its association with weight-related knowledge, attitudes, and behaviors among Chinese children in Guangzhou. J Emidemiol 27:338–345.  https://doi.org/10.1016/j.je.2016.08.011 CrossRefGoogle Scholar

Copyright information

© European Geriatric Medicine Society 2018

Authors and Affiliations

  1. 1.School of Allied Health SciencesKitasato UniversitySagamiharaJapan
  2. 2.Graduate School of Medical SciencesKitasato UniversitySagamiharaJapan

Personalised recommendations