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Published in: BMC Geriatrics 1/2020

Open Access 01-12-2020 | Obesity | Research article

Effect of body mass on future long-term care use

Authors: Olena Nizalova, Katerina Gousia, Julien Forder

Published in: BMC Geriatrics | Issue 1/2020

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Abstract

Background

Obesity is a known predictor of disability and functional limitations, and, in turn, of health care use. In this study, we aim to explore whether obesity is also a significant risk factor for future long-term care use, overall and by type of care.

Methods

We use multinomial logistic regression analysis on data from the English Longitudinal Study of Ageing (ELSA) for individuals aged 65 and older between 2002 and 2011. Selection issues are tackled using the rich set of control variables, exploiting the data’s longitudinal structure and accounting for loss to follow-up (including death). Control factors include health-related behaviours (physical activity, alcohol and tobacco consumption), functional limitations (related to ADLs, iADLs and mobility) and specific existing health conditions, notably diabetes, high blood pressure and cardio-vascular diseases.

Results

We find that obese older people are 25% (p < 0.01) more likely to receive informal or privately-paid care in the future, but this does not hold for formal care. This is an additional direct effect after controlling for a wide range of health conditions and functional limitations. We document some evidence that this effect is due to the development of new functional limitations. Sensitivity analyses suggest that the results are robust to controlling for prediabetes, subjective health, depression, or unobserved heterogeneity.

Conclusions

This study provides new evidence of a positive direct effect of obesity on the future use of long-term care services. Accordingly, it adds evidence of further economic benefits to any overall evaluation of policies to promote a healthy weight in the population, particularly in the older population.
Appendix
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Footnotes
1
WHO classifies abdominal obesity as having a waist-hip ratio above 0.90 m for males and above 0.85 m or females (https://​en.​wikipedia.​org/​wiki/​Waist%E2%80%93hip_​ratio#WHO_​protocol).
 
2
We also ran the main regression using the same sub-sample, which produced qualitatively similar estimates for the coefficients on the variables of interest.
 
3
We also ran the main regression using the same sub-sample, which produced qualitatively similar estimates for the coefficients on the variables of interest, but significantly larger in magnitude – closer to the one reported in the regression with pre-diabetes.
 
4
A fasting blood sugar level from 5.6 to 7.0 mmol/L as per Mayo clinic recommendations https://​www.​mayoclinic.​org/​diseases-conditions/​prediabetes/​diagnosis-treatment/​drc-20355284.
 
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Metadata
Title
Effect of body mass on future long-term care use
Authors
Olena Nizalova
Katerina Gousia
Julien Forder
Publication date
01-12-2020
Publisher
BioMed Central
Published in
BMC Geriatrics / Issue 1/2020
Electronic ISSN: 1471-2318
DOI
https://doi.org/10.1186/s12877-020-01688-4

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