Body mass index, waist circumference, waist-to-hip ratio, and body fat in relation to health care use in the Canadian Longitudinal Study on Aging.


Journal

International journal of obesity (2005)
ISSN: 1476-5497
Titre abrégé: Int J Obes (Lond)
Pays: England
ID NLM: 101256108

Informations de publication

Date de publication:
03 2021
Historique:
received: 06 07 2020
accepted: 09 12 2020
revised: 21 10 2020
pubmed: 13 1 2021
medline: 27 1 2022
entrez: 12 1 2021
Statut: ppublish

Résumé

Obesity is associated with increased health care use (HCU), but it is unclear whether this is consistent across all measures of adiposity. The objectives were to compare obesity defined by body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and percent body fat (%BF), and to estimate their associations with HCU. Baseline data from 30,092 participants aged 45-85 years from the Canadian Longitudinal Study on Aging were included. Measures of adiposity were recorded by trained staff and obesity was defined as BMI ≥ 30.0 kg/m Obesity prevalence varied by measure: BMI (29%), WC (42%), WHR (62%), and %BF (73%). BMI and WC were highly correlated with %BF (r ≥ 0.70), while WHR demonstrated a weaker relationship with %BF, with differences by sex (r = 0.29 and r = 0.46 in females and males, respectively). There were significantly increased RR and RD for all measures and health care services, for example, WC-defined obesity was associated with an increased risk of hospitalization (RR: 1.40, 95% CI: 1.28-1.54 and RD per 100: 2.6, 95% CI:1.9-3.3). Age-stratified results revealed that older adult groups with obesity demonstrated weak or no associations with HCU. All measures of adiposity were positively associated with increased HCU although obesity may not be a strong predictor of HCU in older adults.

Sections du résumé

BACKGROUND/OBJECTIVES
Obesity is associated with increased health care use (HCU), but it is unclear whether this is consistent across all measures of adiposity. The objectives were to compare obesity defined by body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and percent body fat (%BF), and to estimate their associations with HCU.
SUBJECTS/METHODS
Baseline data from 30,092 participants aged 45-85 years from the Canadian Longitudinal Study on Aging were included. Measures of adiposity were recorded by trained staff and obesity was defined as BMI ≥ 30.0 kg/m
RESULTS
Obesity prevalence varied by measure: BMI (29%), WC (42%), WHR (62%), and %BF (73%). BMI and WC were highly correlated with %BF (r ≥ 0.70), while WHR demonstrated a weaker relationship with %BF, with differences by sex (r = 0.29 and r = 0.46 in females and males, respectively). There were significantly increased RR and RD for all measures and health care services, for example, WC-defined obesity was associated with an increased risk of hospitalization (RR: 1.40, 95% CI: 1.28-1.54 and RD per 100: 2.6, 95% CI:1.9-3.3). Age-stratified results revealed that older adult groups with obesity demonstrated weak or no associations with HCU.
CONCLUSIONS
All measures of adiposity were positively associated with increased HCU although obesity may not be a strong predictor of HCU in older adults.

Identifiants

pubmed: 33432110
doi: 10.1038/s41366-020-00731-z
pii: 10.1038/s41366-020-00731-z
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

666-676

Subventions

Organisme : CIHR
ID : LSA 94473
Pays : Canada

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Auteurs

Alessandra T Andreacchi (AT)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.

Lauren E Griffith (LE)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.

G Emmanuel Guindon (GE)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Centre for Health Economics and Policy Analysis, McMaster University, Hamilton, Ontario, Canada.

Alexandra Mayhew (A)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.

Carol Bassim (C)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.

Marie Pigeyre (M)

Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada.
Department of Medicine, McMaster University, Hamilton, Ontario, Canada.

Saverio Stranges (S)

Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.
Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.
Department of Family Medicine, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.

Laura N Anderson (LN)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada. LN.Anderson@mcmaster.ca.
Centre for Health Economics and Policy Analysis, McMaster University, Hamilton, Ontario, Canada. LN.Anderson@mcmaster.ca.
Division of Child Health Evaluative Sciences (CHES), Sick Kids Research Institute, Toronto, Ontario, Canada. LN.Anderson@mcmaster.ca.

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