Investigation of methodological factors potentially underlying the apparently paradoxical findings on body mass index and all-cause mortality

Grace Joshy; Rosemary J Korda; Adrian Bauman; Hidde P Van Der Ploeg; Tien Chey; Emily Banks

doi:10.1371/journal.pone.0088641

Investigation of methodological factors potentially underlying the apparently paradoxical findings on body mass index and all-cause mortality

PLoS One. 2014 Feb 12;9(2):e88641. doi: 10.1371/journal.pone.0088641. eCollection 2014.

Authors

Grace Joshy¹, Rosemary J Korda², Adrian Bauman³, Hidde P Van Der Ploeg⁴, Tien Chey³, Emily Banks⁵

Affiliations

¹ National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia.
² National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia ; Australian Centre for Economic Research on Health, The Australian National University, Canberra, Australia.
³ Sydney School of Public Health, The University of Sydney, Sydney, Australia.
⁴ Sydney School of Public Health, The University of Sydney, Sydney, Australia ; Department of Public and Occupational Health, EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, the Netherlands.
⁵ National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia ; The Sax Institute, Sydney, Australia.

Abstract

Introduction: Findings regarding the association between overweight and all-cause mortality range from significantly lower to higher risk, compared with body-mass-index (BMI) within the "normal" range.

Methods: We examined empirically potential methodological explanations for these apparently conflicting results using questionnaire and linked mortality data from 246,314 individuals aged ≥45 years in the Australian 45 and Up Study (11,127 deaths; median follow-up 3.9 years). Hazard ratios (HR) for all-cause mortality associated with BMI were modelled according to different methods of accounting for illness at baseline, finer versus broader gradations of BMI and choice of reference group, adjusting for potential confounders.

Results: In analyses using the broad World Health Organization (WHO) categories, the all-cause mortality HR was significantly lower in the overweight category (25.0-29.99 kg/m²), than the normal weight (18.5-24.99 kg/m²) category. However, in analyses accounting for baseline illness, which excluded those with pre-existing illness at baseline, ever-smokers and the first 2 years of follow up, absolute age-standardised mortality rates varied up to two-fold between finer BMI categories within the WHO normal weight category; rates were lowest at 22.5-24.99 kg/m² and mortality HRs increased steadily for BMI above (p(trend)<0.02) and below (p(trend)<0.003) this reference category. Hence, the breadth of the BMI categories used and whether or not baseline illness is accounted for explain the apparent discrepancies between reported BMI-mortality associations.

Conclusion: Using fine BMI categories and the category with the lowest absolute rates as the reference group and accounting for the potential confounding effects of baseline illness is likely to yield the most reliable risk estimates for establishing the independent relationship of BMI to all-cause mortality. These results and those of other studies indicate that a BMI of 22.5-24.99 kg/m², not the broad "overweight" category of 25-29.99 kg/m², was associated with the most favourable mortality risk.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Aged
Aged, 80 and over
Australia
Body Mass Index*
Body Weight
Female
Humans
Male
Middle Aged
Mortality*
New South Wales
Overweight
Proportional Hazards Models
Prospective Studies
Reference Values
Risk Factors
Smoking
Surveys and Questionnaires
Survival Analysis

Grants and funding

This specific project was supported by Australian National Health and Medical Research Council (NHMRC) Project Grant number 585402. Emily Banks is supported by the NHMRC. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.