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Population attributable fractions for Type 2 diabetes: an examination of multiple risk factors including symptoms of depression and anxiety.

ABSTRACT: Background:Population attributable fractions (PAFs) are frequently used to quantify the proportion of Type 2 diabetes cases due to single risk factors, an approach which may result in an overestimation of their individual contributions. This study aimed to examine Type 2 diabetes incidence associated with multiple risk factor combinations, including the metabolic syndrome, behavioural factors, and specifically, depression and anxiety. Methods:Using data from the population-based HUNT cohort, we examined incident diabetes in 36,161 Norwegian adults from 1995 to 2008. PAFs were calculated using Miettinen's case-based formula, using relative risks estimated from multivariate regression models. Results:Overall, the studied risk factors accounted for 50.5% of new diabetes cases (78.2% in men and 47.0% in women). Individuals exposed to both behavioural and metabolic factors were at highest risk of diabetes onset (PAF?=?22.9%). Baseline anxiety and depression contributed a further 13.6% of new cases to this combination. Men appeared to be particularly vulnerable to the interaction between metabolic, behavioural and psychological risk factors. Conclusion:This study highlights the importance of risk factor clustering in diabetes onset, and is the first that we know of to quantify the excess fraction of incident diabetes associated with psychological risk factor interactions.

SUBMITTER: Naicker K

PROVIDER: S-EPMC6251110 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Population attributable fractions for Type 2 diabetes: an examination of multiple risk factors including symptoms of depression and anxiety.

Naicker Kiyuri K Manuel Douglas D Øverland Simon S Skogen Jens C JC Johnson Jeffrey A JA Sivertsen Børge B Colman Ian I

Diabetology & metabolic syndrome 20181122

<h4>Background</h4>Population attributable fractions (PAFs) are frequently used to quantify the proportion of Type 2 diabetes cases due to single risk factors, an approach which may result in an overestimation of their individual contributions. This study aimed to examine Type 2 diabetes incidence associated with multiple risk factor combinations, including the metabolic syndrome, behavioural factors, and specifically, depression and anxiety.<h4>Methods</h4>Using data from the population-based H ...[more]

PMID: 30479670

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Project description:BackgroundDepression and anxiety are common psychiatric complications affecting patients with diabetes mellitus. However, data on the prevalence of depression, anxiety, and associated factors among Malaysian diabetic patients is scarce. The Anxiety, Depression, and Personality Traits in Diabetes Mellitus (ADAPT-DM) study aimed to determine the prevalence of depression and anxiety, and their associated factors in the Malaysian diabetic population.MethodsThis cross-sectional study recruited 300 diabetic patients via convenience sampling from the Endocrine outpatient clinic of Universiti Kebangsaan Malaysia Medical Centre, a tertiary referral healthcare facility in Kuala Lumpur. Socio-demographic characteristics and clinical history were obtained from each participant. The Generalised Anxiety Disorder-7 (GAD-7) was administered to assess anxiety symptoms, the Beck Depression Inventory (BDI) to assess depressive symptoms, the Big Five Inventory (BFI) to evaluate personality traits, and the World Health Organization Quality of Life-BREF (WHOQOL-BREF) to measure quality of life (QOL). Stepwise multiple logistic regression analyses were performed to determine the association between various factors, and depression and anxiety.ResultsThe prevalence of depression was 20% (n = 60) while anxiety was 9% (n = 27). Co-morbid depression (adjusted odds ratio [OR] = 9.89, 95% confidence interval [CI] = 2.63-37.14, p = 0.001) and neuroticism (adjusted OR = 11.66, 95% CI = 2.69-50.47, p = 0.001) increased the odds of developing anxiety, while conscientiousness (adjusted OR = 0.45, 95% CI = 0.23-0.80, p = 0.004) and greater psychological-related QOL (adjusted OR = 0.47, 95% CI = 0.29-0.75, p = 0.002) were protective. Co-morbid anxiety (adjusted OR = 19.83, 95% CI = 5.63-69.92, p < 0.001) increased the odds of depression, while older age (adjusted OR = 0.96, 95% CI = 0.93-0.98, p = 0.002), social relationship-related QOL (adjusted OR = 0.84, 95% CI = 0.71-.0.99, p = 0.047), and physical health-related QOL (adjusted OR = 0.69, 95% CI = 0.58-0.83, p < 0.001) were protective.ConclusionsThe study findings signify the need to screen for co-morbid depression and anxiety, as well as personality traits and QOL, and to include psychosocial interventions when planning a multidisciplinary approach to managing diabetes.

Project description:Risk factors for hepatocellular carcinoma (HCC) include hepatitis B and C viruses (HBV, HCV), excessive alcohol consumption, rare genetic disorders and diabetes/obesity. The population attributable fractions (PAF) of these factors, however, have not been investigated in population-based studies in the United States.Persons ?68 years diagnosed with HCC (n=6,991) between 1994 and 2007 were identified in the SEER-Medicare database. A 5% random sample (n=255,702) of persons residing in SEER locations were selected for comparison. For each risk factor, odds ratios (ORs), 95% confidence intervals (95% CI) and PAFs were calculated.As anticipated, the risk of HCC was increased in relationship to each factor: HCV (OR 39.89, 95% CI: 36.29-43.84), HBV (OR 11.17, 95% CI: 9.18-13.59), alcohol-related disorders (OR 4.06, 95% CI: 3.82-4.32), rare metabolic disorders (OR 3.45, 95% CI: 2.97-4.02), and diabetes and/or obesity (OR 2.47, 95% CI: 2.34-2.61). The PAF of all factors combined was 64.5% (males 65.6%; females 62.2%). The PAF was highest among Asians (70.1%) and lowest among black persons (52.4%). Among individual factors, diabetes/obesity had the greatest PAF (36.6%), followed by alcohol-related disorders (23.5%), HCV (22.4%), HBV (6.3%) and rare genetic disorders (3.2%). While diabetes/obesity had the greatest PAF among both males (36.4%) and females (36.7%), alcohol-related disorders had the second greatest PAF among males (27.8%) and HCV the second greatest among females (28.1%). Diabetes/obesity had the greatest PAF among whites (38.9%) and Hispanics (38.1%), while HCV had the greatest PAF among Asians (35.4%) and blacks (34.9%). The second greatest PAF was alcohol-related disorders in whites (25.6%), Hispanics (30.1%) and blacks (and 18.5%) and HBV in Asians (28.5%).The dominant risk factors for HCC in the United States among persons ?68 years differ by sex and race/ethnicity. Overall, eliminating diabetes/obesity could reduce the incidence of HCC more than the elimination of any other factor.

Dataset Information

Population attributable fractions for Type 2 diabetes: an examination of multiple risk factors including symptoms of depression and anxiety.

Publications

Population attributable fractions for Type 2 diabetes: an examination of multiple risk factors including symptoms of depression and anxiety.

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