Do Cultural and Psychosocial Factors Contribute to Type 2 Diabetes Risk? A Look Into Vancouver's South Asian Community.
Adult
Aged
Aged, 80 and over
Asian People
/ psychology
Body Mass Index
Canada
/ epidemiology
Cross-Sectional Studies
Cultural Characteristics
Diabetes Mellitus, Type 2
/ epidemiology
Emigrants and Immigrants
/ psychology
Ethnicity
/ psychology
Female
Follow-Up Studies
Humans
Life Style
Male
Middle Aged
Prognosis
Risk Factors
South Asians
Sud-Asiatiques (gentilé) ou sud-asiatiques (adjectif)
confessionnel
diabetes
diabète
facteurs de risque
faith-based
prediabetes
prédiabète
risk factors
Journal
Canadian journal of diabetes
ISSN: 2352-3840
Titre abrégé: Can J Diabetes
Pays: Canada
ID NLM: 101148810
Informations de publication
Date de publication:
Feb 2020
Feb 2020
Historique:
received:
05
11
2018
revised:
04
04
2019
accepted:
30
04
2019
pubmed:
25
8
2019
medline:
30
9
2020
entrez:
25
8
2019
Statut:
ppublish
Résumé
South Asian immigrants are generally healthy upon arrival, but precipitously develop diabetes after immigration. Whether cultural and psychosocial factors contribute to diabetes risk in this ethnic minority group remains unclear. Existing prediction models focus primarily on clinical and lifestyle factors. This study explored whether nontraditional risk factors are incrementally predictive beyond traditional risk factors in this South Asian community. In this cross-sectional study, we recruited 425 South Asian adults attending Sikh and Hindu temples in Metro Vancouver between July 2013 and June 2014. We measured traditional risk factors, including glycated hemoglobin (A1C), apolipoprotein B, systolic and diastolic blood pressure (BP), waist circumference, weight, body mass index (BMI), dietary patterns and physical activity level. Self-report questionnaires assessed cultural and psychosocial factors, including acculturation, dinnertime (timing of the evening meal), religion and depressive symptoms. We constructed a penalized multivariable linear model with A1C level using the least absolute shrinkage and selection operator (LASSO) approach to overcome issues of overfitting and reduce prediction error of previous diabetes prediction models. The LASSO model selected 24 risk factors for the optimal model to predict glycemic control. Results revealed that higher degree of acculturation (p=0.007), later dinnertime (p=0.01) and greater depressive symptoms (p=0.038) are important factors in diabetes risk in addition to traditional risk factors (fruit/vegetable/fibre intake, BMI and systolic BP). Nontraditional factors, such as cultural practices and emotional functioning, are also important predictors of diabetes risk and should be considered when culturally tailoring diabetes prevention programs.
Identifiants
pubmed: 31444060
pii: S1499-2671(18)30923-7
doi: 10.1016/j.jcjd.2019.04.015
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
14-21Informations de copyright
Copyright © 2019. Published by Elsevier Inc.