Socio-economic disparities in the association of diet quality and type 2 diabetes incidence in the Dutch Lifelines cohort.

Diet quality Health inequality Prospective cohort study Public health Socio-economic inequality Socio-economic status Type 2 diabetes

Journal

EClinicalMedicine
ISSN: 2589-5370
Titre abrégé: EClinicalMedicine
Pays: England
ID NLM: 101733727

Informations de publication

Date de publication:
Feb 2020
Historique:
received: 23 07 2019
revised: 12 12 2019
accepted: 20 12 2019
entrez: 7 3 2020
pubmed: 7 3 2020
medline: 7 3 2020
Statut: epublish

Résumé

It is unknown whether a socio-economic difference exists in the association of diet quality with type 2 diabetes incidence, nor how diet influences the socioeconomic inequality in diabetes burden. In 91,025 participants of the population-based Lifelines Cohort (aged ≥30, no diabetes or cardiovascular diseases at baseline), type 2 diabetes incidence was based on self-report, fasting glucose ≥ 7·0 mmol/l and/or HbA1c ≥ 6·5%. The evidence-based Lifelines Diet Score was calculated with data of a 110-item food frequency questionnaire. Socio-economic status (SES) was defined by educational level. Cox proportional hazards models were adjusted for age, gender, smoking, energy intake, alcohol intake and physical activity. In 279,796 person-years of follow-up, 1045 diabetes cases were identified. Incidence rate was 5·7, 3·2 and 2·4 cases/1000 person-years in low, middle and high SES, respectively. Diet was associated with greater diabetes risk (HR(95%CI) in Q1 (poor diet quality) vs. Q5 (high diet quality) = 2·11 (1·70-2·62)). SES was a moderator of the association(p Diet quality improvement can potentially prevent one in three cases of type 2 diabetes, but because of a smaller impact in low SES, it will not narrow the socioeconomic health gap in diabetes burden. None.

Sections du résumé

BACKGROUND BACKGROUND
It is unknown whether a socio-economic difference exists in the association of diet quality with type 2 diabetes incidence, nor how diet influences the socioeconomic inequality in diabetes burden.
METHODS METHODS
In 91,025 participants of the population-based Lifelines Cohort (aged ≥30, no diabetes or cardiovascular diseases at baseline), type 2 diabetes incidence was based on self-report, fasting glucose ≥ 7·0 mmol/l and/or HbA1c ≥ 6·5%. The evidence-based Lifelines Diet Score was calculated with data of a 110-item food frequency questionnaire. Socio-economic status (SES) was defined by educational level. Cox proportional hazards models were adjusted for age, gender, smoking, energy intake, alcohol intake and physical activity.
FINDINGS RESULTS
In 279,796 person-years of follow-up, 1045 diabetes cases were identified. Incidence rate was 5·7, 3·2 and 2·4 cases/1000 person-years in low, middle and high SES, respectively. Diet was associated with greater diabetes risk (HR(95%CI) in Q1 (poor diet quality) vs. Q5 (high diet quality) = 2·11 (1·70-2·62)). SES was a moderator of the association(p
INTERPRETATION CONCLUSIONS
Diet quality improvement can potentially prevent one in three cases of type 2 diabetes, but because of a smaller impact in low SES, it will not narrow the socioeconomic health gap in diabetes burden.
FUNDING BACKGROUND
None.

Identifiants

pubmed: 32140670
doi: 10.1016/j.eclinm.2019.100252
pii: S2589-5370(19)30261-5
pii: 100252
pmc: PMC7046499
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100252

Informations de copyright

© 2019 Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

All authors confirm that no conflicts of interest exist.

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Auteurs

Petra C Vinke (PC)

Department of Epidemiology, University Medical Center Groningen, University of Groningen (FA40), P.O. Box 30 001, 9700 RB Groningen, the Netherlands.

Gerjan Navis (G)

Department of Nephrology, University Medical Center Groningen, University of Groningen (AA52), P.O. Box 30 001, 9700 RB Groningen, the Netherlands.

Daan Kromhout (D)

Department of Epidemiology, University Medical Center Groningen, University of Groningen (FA40), P.O. Box 30 001, 9700 RB Groningen, the Netherlands.

Eva Corpeleijn (E)

Department of Epidemiology, University Medical Center Groningen, University of Groningen (FA40), P.O. Box 30 001, 9700 RB Groningen, the Netherlands.

Classifications MeSH