Dataset Information

The relationship between body mass index and hospitalisation rates, days in hospital and costs: findings from a large prospective linked data study.

ABSTRACT:

Background

Internationally there is limited empirical evidence on the impact of overweight and obesity on health service use and costs. We estimate the burden of hospitalisation-admissions, days and costs-associated with above-normal BMI.

Methods

Population-based prospective cohort study involving 224,254 adults aged ?45y in Australia (45 and Up Study). Baseline questionnaire data (2006-2009) were linked to hospitalisation and death records (median follow-up 3.42y) and hospital cost data. The relationships between BMI and hospital admissions and days were modelled using zero-inflated negative binomial regression; generalised gamma models were used to model costs. Analyses were stratified by sex and age (45-64, 65-79, ?80y), and adjusted for age, area of residence, education, income, smoking, alcohol-intake and private health insurance status. Population attributable fractions were also calculated.

Results

There were 459,346 admissions (0.55/person-year) and 1,483,523 hospital days (1.76/person-year) during follow-up. For ages 45-64y and 65-79y, rates of admissions, days and costs increased progressively with increments of above-normal BMI. Compared to BMI 22.5-<25kg/m2, rates of admissions and days were 1.64-2.54 times higher for BMI 40-50kg/m2; costs were 1.14-1.24 times higher for BMI 27.5-<30kg/m2, rising to 1.77-2.15 times for BMI 40-50kg/m2. The BMI-hospitalisation relationship was less clear for ?80y. We estimated that among Australians 45-79y, around 1 in every 8 admissions are attributable to overweight and obesity (2% to overweight, 11% to obesity), as are 1 in every 6 days in hospital (2%, 16%) and 1 in every 6 dollars spent on hospitalisation (3%, 14%).

Conclusions

The dose-response relationship between BMI and hospital use and costs in mid-age and older Australians in the above-normal BMI range suggests even small downward shifts in BMI among these people could result in considerable reductions in their annual health care costs; whether this would result in long-term savings to the health care system is not known from this study.

SUBMITTER: Korda RJ

PROVIDER: S-EPMC4349828 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Publications

The relationship between body mass index and hospitalisation rates, days in hospital and costs: findings from a large prospective linked data study.

Korda Rosemary J RJ Joshy Grace G Paige Ellie E Butler James R G JR Jorm Louisa R LR Liu Bette B Bauman Adrian E AE Banks Emily E

PloS one 20150304 3

<h4>Background</h4>Internationally there is limited empirical evidence on the impact of overweight and obesity on health service use and costs. We estimate the burden of hospitalisation-admissions, days and costs-associated with above-normal BMI.<h4>Methods</h4>Population-based prospective cohort study involving 224,254 adults aged ≥45y in Australia (45 and Up Study). Baseline questionnaire data (2006-2009) were linked to hospitalisation and death records (median follow-up 3.42y) and hospital co ...[more]

PMID: 25739093

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Dataset Information

The relationship between body mass index and hospitalisation rates, days in hospital and costs: findings from a large prospective linked data study.

Background

Methods

Results

Conclusions

Publications

The relationship between body mass index and hospitalisation rates, days in hospital and costs: findings from a large prospective linked data study.

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