Unknown

Dataset Information

0

Effect of body mass on future long-term care use.


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?ConclusionsThis 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.

SUBMITTER: Nizalova O 

PROVIDER: S-EPMC7433070 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

Effect of body mass on future long-term care use.

Nizalova Olena O   Gousia Katerina K   Forder Julien J  

BMC geriatrics 20200817 1


<h4>Background</h4>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.<h4>Methods</h4>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 c  ...[more]

Similar Datasets

| S-EPMC5546343 | biostudies-other
| S-EPMC6382068 | biostudies-literature
| S-EPMC10534054 | biostudies-literature
| S-EPMC5805391 | biostudies-other
| S-EPMC6565708 | biostudies-literature
| S-EPMC4325276 | biostudies-literature
| S-EPMC5717693 | biostudies-literature
| S-EPMC6700513 | biostudies-literature
| S-EPMC7756692 | biostudies-literature
| S-EPMC4285622 | biostudies-literature