Prevalence of Diabetes and Effect on Quality of Life in Older French Living in the Community: The PAQUID Epidemiological Survey

Bourdel-Marchasson, I.; Dubroca, Bruno; Manciet, G; Decamps, A.; Emeriau, Jean‐Paul; Dartigues, Jean‐François

doi:10.1111/j.1532-5415.1997.tb00943.x

Cited by 103 publications

(72 citation statements)

References 44 publications

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“…The prevalence of Type 2 diabetes was 7.0% in this community-based sample of older adults, which resembles the prevalence of Type 2 diabetes found in other community-based epidemiological studies [21,22,23]. Our results show that one in every five patients with The results of our population-based study therefore confirm the conclusions of a recent review [1].…”

Section: Discussionsupporting

confidence: 82%

Rates and risks for co-morbid depression in patients with Type 2 diabetes mellitus: results from a community-based study

et al. 2003

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Aims/hypothesis. There is accumulating evidence that depression is common in people with Type 2 diabetes. However, most prevalence-studies are uncontrolled and could also be inaccurate from selection-bias, as they are conducted in specialized treatment settings. We studied the prevalence and risk factors of comorbid depression in a community-based sample of older adults, comparing Type 2 diabetic patients with healthy control subjects. Methods. A large (n=3107) community-based study in Dutch adults (55-85 years of age) was conducted. Pervasive depression was defined as a CES-D score greater than 15. Diagnosis of Type 2 diabetes was obtained from self-reports and data from general practitioners. Results. A number of 216 patients (7%) were identified as having Type 2 diabetes. The prevalence of pervasive depression was increased in people with Type 2 diabetes and co-morbid chronic disease (20%) but not in patients with Type 2 diabetes only (8%), compared with the healthy control subjects (9%). Regression analyses in diabetic patients yielded that being single, being female, having functional limitations, receiving instrumental support and having an external locus of control were associated with higher levels of depression. Conclusions/interpretation. The Results suggest that the prevalence of pervasive depression is increased in patients with Type 2 diabetes and co-morbid disease(s), but not in patients with Type 2 diabetes only. Functional limitations that often accompany co-morbid chronic disease could play an essential role in the development of depression in Type 2 diabetes. These findings can enable clinicians and researchers to identify high-risk groups and set up prevention and treatment programs. [Diabetologia (2003) ArticlesRates and risks for co-morbid depression in patients with Type 2 diabetes mellitus: results from a community-based study diabetes was 20.5%, versus 11.4% in non-diabetic subjects [1]. It was also concluded that depression does not only have a negative effect on the quality of life of people with diabetes [2] but also on their glycaemic control [3,4,5], and it is associated with increased health-care use and health-care costs [6]. However, many studies aiming to determine the prevalence of depression in Type 2 diabetes are not accurate because of selection bias as they have been conducted in specialised hospitals that treat patients with problematic diabetes. Moreover, potential confounders such as sex, socio-economic status, obesity, concomitant medical illness or complications of diabetes are often not addressed. The authors therefore concluded that additional analyses are required to determine In a recent meta-analysis, the presence of Type 2 diabetes doubled the odds of co-morbid depression. In that study, data of 18 controlled studies were used, and the mean unadjusted prevalence of depression in

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Section: Discussionsupporting

confidence: 82%

Rates and risks for co-morbid depression in patients with Type 2 diabetes mellitus: results from a community-based study

et al. 2003

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“…Heart disease included coronary heart disease, heart failure, and myocardial infarction. Self-report diseases have been recognized as a valid method for collecting medical diagnosis in large-scale studies (Bourdel-Marchasson et al 1997;McGuire et al 2006). The number of medications was taken as the total number of medications the participants was taking at the time of the assessment and which they brought to the place of the assessment.…”

Section: Medical Diagnoses and Medicationsmentioning

confidence: 99%

Survival benefit of abdominal adiposity: a 6-year follow-up study with Dual X-ray absorptiometry in 3,978 older adults

Lee

Auyeung

Kwok

et al. 2011

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In contrast to that in the middle-aged, higher body mass index (BMI) in older people is associated with higher survival rates. Yet, BMI makes no distinction between fat elsewhere and abdominal fat, the latter being metabolically more harmful. We hypothesized that overall adiposity might be protective in old age, but that central fat might offset that benefit and remained harmful as in the middle-aged. Three thousand nine hundred seventy-eight Chinese elderly ≥65 years had demographics, medical conditions, physical activity, and body composition by DXA recorded at baseline. Overall adiposity was measured as whole body fat%, and abdominal adiposity as waist circumference, waisthip ratio, and relative abdominal fat (RAF) (relative abdominal fat = abdominal fat according to anatomical landmarks/whole body fat). Deaths within 1 year from baseline were excluded from analysis. All-cause and cardiovascular mortality were analyzed using Cox regression, adjusted for covariates. The lowest quintile of adiposity measurements was used for comparison. After a mean follow-up of 72.3 months, 13.7% men and 4.5% women had died. In men, the highest two quintiles of whole body fat % and the upper four quintiles of RAF were associated with significantly lower all-cause mortality, and adjusted hazard ratio (95% CI) in ascending quintiles of RAF compared with the lowest quintile was 0.62 (0.43-0.89), 0.58 (0.4-0.85), 0.52 (0.36-0.77), and 0.67 (0.47-0.96). No relationship was found between abdominal adiposity and cardiovascular mortality in both genders. Higher whole body fat % as well as higher proportion of abdominal fat was associated with lower all-cause mortality in men. No such relation was found in women.

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“…In addition, the prevalence of depression is substantially higher among patients with diabetes than those without diabetes [4]. Depression, in turn, decreases quality of life [5,6] and hinders treatment [7]. While there have been a number of studies of quality of life in patients with type 2 diabetes [1,[8][9][10][11][12], few have looked at a large primary care cohort while simultaneously accounting for multiple medical comorbidities, depression and treatment intensity.…”

Section: Introductionmentioning

confidence: 99%

Correlates of health-related quality of life in type 2 diabetes

et al. 2006

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Aims/hypothesis: We assessed the impact of medical comorbidities, depression, and treatment intensity on quality of life in a large primary care cohort of patients with type 2 diabetes. Methods: We used the Health Utilities Index-III, an instrument that measures healthrelated quality of life based on community preferences in units of health utility (scaled from 0=death to 1.0=perfect health), in 909 primary care patients with type 2 diabetes. Demographic and clinical correlates of health-related quality of life were assessed. Results: The median health utility score for this population was 0.70 (interquartile range 0.39-0.88). In univariate analyses, older age, female sex, low socioeconomic status, cardiovascular disease, microvascular complications, congestive heart failure, peripheral vascular disease, chronic lung disease, depression, insulin use and number of medications correlated with decreased quality of life, while obesity, hypertension and hypercholesterolaemia did not. In multiple regression analyses, microvascular complications, heart failure and depression were most strongly related to decreased healthrelated quality of life, independently of duration of diabetes; in these models, diabetes patients with depression had a utility of 0.59, while patients without symptomatic comorbidities did not have a significantly reduced quality of life. Treatment intensity remained a significant negative correlate of quality of life in multivariable models. Conclusions/interpretation: Patients with type 2 diabetes have a substantially decreased quality of life in association with symptomatic complications. The data suggest that treatment of depression and prevention of complications have the greatest potential to improve health-related quality of life in type 2 diabetes.

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Prevalence of Diabetes and Effect on Quality of Life in Older French Living in the Community: The PAQUID Epidemiological Survey

Abstract: The observed prevalence of diabetes in older French people living in the community was 8.5%. Quality of life in older diabetics was poorer than that of other people of the same age.

Cited by 103 publications

References 44 publications

Rates and risks for co-morbid depression in patients with Type 2 diabetes mellitus: results from a community-based study

Rates and risks for co-morbid depression in patients with Type 2 diabetes mellitus: results from a community-based study

Survival benefit of abdominal adiposity: a 6-year follow-up study with Dual X-ray absorptiometry in 3,978 older adults

Correlates of health-related quality of life in type 2 diabetes

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