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The Association Between Food Insecurity and Incident Type 2 Diabetes in Canada: A Population-based Cohort Study

7. august 2017 oppdatert av: Christopher Tait

A pervasive and persistent finding is the health disadvantage experienced by those in food insecure households. While clear associations have been identified between food insecurity and diabetes risk factors, less is known about the relationship between food insecurity and incident type 2 diabetes.

The objective of this study is to investigate the association between household food insecurity and the future development of type 2 diabetes.

The investigators used data from Ontario adult respondents to the 2004 Canadian Community Health Survey, linked to health administrative data (n = 4,739). Food insecurity was assessed with the Household Food Security Survey Module and incident type 2 diabetes cases were identified by the Ontario Diabetes Database. Multivariable adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for type 2 diabetes as a function of food insecurity.

Studieoversikt

Status

Fullført

Forhold

Intervensjon / Behandling

Detaljert beskrivelse

Globally, there are over 200 million people living with type 2 diabetes. Aging populations, steadily increasing obesity rates, increases in sedentary behaviours, and decreases in diabetes-related mortality signal that the global prevalence of type 2 diabetes will continue to grow.

In Canada, type 2 diabetes is one of the most prevalent chronic conditions and is the 7th leading cause of mortality. Over the last decade, the prevalence of type 2 diabetes in Canada has increased by 72%, with 11 million Canadians currently living with diabetes or pre-diabetes. This number is expected to rise to 13.9 million (33% of Canadians) by 2026.

Much of the body of literature concerning type 2 diabetes focuses on management and control. Research that is geared towards prevention focuses heavily on the modification of individual risk behaviours, while less attention is given to the broader social determinants of increased type 2 diabetes risk.

Household food security is a broad measure of socioeconomic status that is not traditionally included in health research. Household food insecurity is experienced when there is uncertainty regarding, or disruption in, food intake or eating patterns by at least one member of a household due to financial constraints, resulting in inadequate or insecure access to food.

Food insecurity has been identified as a significant social and health problem in Canada . It was first measured in 2004, where it was estimated that 9.2% of Canadian households were food insecure. The most recent estimate from 2014 indicates that this number has risen to 12%, representing 3.2 million Canadians.

While there exists the perception that food insecurity leads to caloric restriction, food insecurity has been associated with lower nutrient intakes and consumption of a less healthy diet compared to those who are food secure. Prior evidence from cross-sectional studies has demonstrated that there is an association between food insecurity and chronic disease risk including hypertension, cardiovascular disease, and type 2 diabetes.

Though clear associations have been identified between food insecurity and diabetes risk factors such as dietary consumption, weight gain, and obesity, less is known about the direct relationship between food insecurity and incident type 2 diabetes. Moreover, limited studies have investigated this association longitudinally in a population-based sample.

Prospective, longitudinal assessment is critical as cross-sectional studies lack the ability to infer the direction of the relationship between food insecurity and type 2 diabetes. For example, the 'health selection' hypothesis has been studied, positing that a decline in health status may precede and ultimately cause downward social mobility and a decrease in income leading to food insecurity. Consequently, this theory presents evidence for reverse causation, by which poor health may precede financial difficulties, especially in cases where early age of diagnosis, and thus longer duration of disease, might predispose individuals to being in a food insecure household.

Current estimates of the future health consequences associated with food insecurity are needed to inform health decision-makers of potential areas for upstream intervention to alleviate the burden type 2 diabetes places on the Canadian healthcare system. Data linkages provide a novel opportunity to study this relationship in a prospective, population-based sample. Accordingly, the objectives of this study are to estimate the risk of type 2 diabetes as a function of food insecurity in the Canadian population, and to investigate the extent to which this association may be mediated by obesity.

Studietype

Observasjonsmessig

Registrering (Faktiske)

4739

Deltakelseskriterier

Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.

Kvalifikasjonskriterier

Alder som er kvalifisert for studier

18 år og eldre (Voksen, Eldre voksen)

Tar imot friske frivillige

Ja

Kjønn som er kvalifisert for studier

Alle

Prøvetakingsmetode

Sannsynlighetsprøve

Studiepopulasjon

The investigators used data from Ontario adult respondents to Cycle 2.2 of Canadian Community Health Survey conducted in 2004, deterministically linked to the Ontario Diabetes Database. The Canadian Community Health Survey is a cross-sectional survey administered by Statistics Canada that uses a multi-stage, stratified, clustered probability sample that is representative of 98% of the Canadian population. Those who are full-time members of the Canadian Forces, reside on First Nations Reserves or Crown Lands, are institutionalized, and who reside in certain remote areas reflect the 2% of the population not captured by the survey. Detailed descriptions of the survey methodology have been published elsewhere.

Beskrivelse

The investigators restricted the analyses to individuals ≥ 18 years of age at baseline who were successfully linked to the Ontario Diabetes Database (n = 5,539). The investigators further excluded pregnant women from the sample to increase the accuracy of body weight measurements (n = 36), prevalent cases of diabetes before respondents' 2004 Canadian Community Health Survey interview date (n = 636), underweight individuals (n = 112), and those who had missing information on food security status (n = 16). After these exclusions, the analytic cohort consists of 4,739 individuals, 2,050 men and 2,689 women.

Studieplan

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Hvordan er studiet utformet?

Designdetaljer

Hva måler studien?

Primære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Type 2 diabetes
Tidsramme: 2004-2016
Incident type 2 diabetes
2004-2016

Samarbeidspartnere og etterforskere

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Sponsor

Samarbeidspartnere

Etterforskere

  • Hovedetterforsker: Christopher Tait, PhD(c), University of Toronto - Dalla Lana School of Public Health

Studierekorddatoer

Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.

Studer hoveddatoer

Studiestart (Faktiske)

1. januar 2004

Primær fullføring (Faktiske)

31. mars 2016

Studiet fullført (Faktiske)

31. mars 2016

Datoer for studieregistrering

Først innsendt

4. august 2017

Først innsendt som oppfylte QC-kriteriene

7. august 2017

Først lagt ut (Faktiske)

8. august 2017

Oppdateringer av studieposter

Sist oppdatering lagt ut (Faktiske)

8. august 2017

Siste oppdatering sendt inn som oppfylte QC-kriteriene

7. august 2017

Sist bekreftet

1. august 2017

Mer informasjon

Begreper knyttet til denne studien

Andre studie-ID-numre

  • PROTOCOL REFERENCE # 32143

Plan for individuelle deltakerdata (IPD)

Planlegger du å dele individuelle deltakerdata (IPD)?

NEI

Legemiddel- og utstyrsinformasjon, studiedokumenter

Studerer et amerikansk FDA-regulert medikamentprodukt

Nei

Studerer et amerikansk FDA-regulert enhetsprodukt

Nei

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