Prevalence of depression and its associations with cardio-metabolic control in Aboriginal and Anglo-Celt patients with type 2 diabetes: The Fremantle Diabetes Study Phase II

Davis, Timothy; Hunt, Kerry; Bruce, David; Starkstein, Sergio E.; Skinner, Timothy; McAullay, Daniel; Davis, Wendy A.

doi:10.1016/j.diabres.2014.12.014

Cited by 18 publications

(18 citation statements)

References 36 publications

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“…Compared with the entire Aboriginal adult patient population in this health service, tobacco use in the diabetes group was low (48% in all adults vs. 31% in Type 2 diabetes), suggesting that the study participants may be more responsive to key health messages in light of their diabetes and higher level of care (J. Boffa, personal communication, 2018). Nevertheless, smoking prevalence was higher than the estimated 8–15% prevalence among non‐Indigenous Australians with diabetes .…”

Section: Discussionmentioning

confidence: 99%

Health‐related behaviours in a remote Indigenous population with Type 2 diabetes: a Central Australian primary care survey in the Telehealth Eye and Associated Medical Services Network [TEAMSnet] project

Jenkins

Ryan

et al. 2019

Diabet. Med.

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Aim There is a wealth of data concerning the health behaviours of Indigenous Australians, but the health behaviours of Indigenous Australians with diabetes are not systematically documented. At the clinical level, understanding a person's health behaviours can help identify and address barriers to diabetes care and promote good clinical outcomes. Methods We used a novel survey tool to systematically collect health behaviour data on Smoking, Nutrition, Alcohol consumption, Physical activity and Emotional well‐being (SNAPE) from Indigenous Australians with Type 2 diabetes in a remote primary care setting in Alice Springs. Results At least one of the five surveys in the SNAPE tool was completed by 210 participants: 30% male, mean age 52.6 years (range 22.9 – 87.4). Fifty per cent of men and 23% of women were current smokers (P < 0.001). None of the participants reported an adequate intake of vegetables. Only 9.6% reported an adequate fruit intake. Some 49% of men and 32% of women consumed alcohol in the past year (P = 0.022), and 46% of drinkers were considered high‐risk or likely‐dependent drinkers. On average, participants walked 10 min or more at a time 6.0 days a week and spent 4.8 h sitting on a weekday. Mean adapted Patient Health Questionnaire 9 score was 4.61, with 34% of participants having mild depressive symptoms and 11% having moderate‐severe depressive symptoms. Conclusions Our SNAPE survey tool results present a high‐risk, disadvantaged Indigenous population with Type 2 diabetes. More resources will be needed to sustainably implement interventions with the goal of improving health behaviours and subsequent long‐term health.

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Section: Discussionmentioning

confidence: 99%

Health‐related behaviours in a remote Indigenous population with Type 2 diabetes: a Central Australian primary care survey in the Telehealth Eye and Associated Medical Services Network [TEAMSnet] project

Jenkins

Ryan

et al. 2019

Diabet. Med.

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“…However, several other studies recognized gender [16, 17, 21, 41–43], age [16, 17, 20, 44, 45], diabetic treatment [21, 46, 47], body mass index [21, 48], fasting plasma glucose [17–19, 49, 50], poor diabetes mellitus control [15], number of comorbidities [21, 48, 51, 52], diabetic complications [16, 17, 53, 54], duration of diabetes [23, 45], age at diabetes diagnosis [55, 56], large waist circumference [39], diabetic retinopathy [40], diabetic neuropathy [39, 40, 57, 58], cardiovascular disease comorbidity [39, 40, 59, 60], sexual dysfunction [40] were physiologic (biologic) risk factors that significantly associated with depression.…”

Section: Discussionmentioning

confidence: 99%

“…Contrariwise, urban residence [59], low socioeconomic status [19, 20, 42, 47, 66], lower educational status [23, 47, 49, 52], marital status [15, 17, 19, 21, 24, 44], major family conflicts and unavailability of food or medicines [16] were significant associated factors for depression.…”

Section: Discussionmentioning

confidence: 99%

“…Recent studies [39–42, 47–49, 51, 66] found diabetic neuropathy, doing physical activity, diabetic retinopathy, educational status, perceived fear of diabetes-related death and complication, number of diabetic complication, being female, physical disability, increased body mass index, low monthly family income, age at diagnosis, and increased number of co-morbid disease significantly associated with depression. However, our study lacks to confirm this robust fact.…”

Section: Discussionmentioning

confidence: 99%

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Comorbidity of depression and diabetes: an application of biopsychosocial model

Islam

Tsige

Tegegne

2016

Int J Ment Health Syst

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BackgroundType 2 diabetes (T2D) is one of the most psychologically demanding chronic medical illness in adult. Comorbidity between diabetes and depression is quite common, but most studies were based on developed country sample. Limited data exists to document biopsychosocial predictors of depressive symptoms in Ethiopian patients. Therefore, the aim of the study was to describe the association of depressive symptoms and T2D and explore the potential underlying associated biopsychosocial risk factors.MethodsInstitution based cross-sectional study was conducted on 276 patient with T2D at diabetic clinic, Black Lion General Specialized Hospital in Ethiopia. Patients were selected using systematic random sampling technique. Depressive symptoms score, which constructed from a validated nine-item Patient Health Questionnaire (PHQ-9), was an outcome variable. Finally, significant associated factors were identified using multiple linear regression analysis with backward elimination procedure. Statistical Package for Social Science (SPSS) version 22.0 (IBM SPSS Corp.) was used to perform all analysis.ResultsTotal of 264 patient data was analyzed with 95.7% response rate. Patients mean (SD) current age and age at diagnosis was 55.9 (10.9) and 43.9 (10.9) years, respectively. Patients waist circumference (mean ± SD) was 98.9 ± 11.1 cm. The average PHQ-9 score was 4.9 (SD 4.1) and fasting blood glucose was 166.4 (SD 73.2). Marital status (divorced), occupation (housewife), diabetic complication (nephropathy), negative life event in the last six months, and poor social support significantly associated with increased mean PHQ-9 score after adjustment for covariates. Whereas not fearing diabetic-related complication and death significantly lower mean PHQ-9 score.ConclusionBiopsychosocial variables including marital status, negative life event in the last 6 months, occupation, diabetic complication, and poor social support significantly increase average depressive symptoms score. Evidence-based intervention focusing on these identified biopsychosocial factors are necessary to prevent the development of depressive symptoms.Electronic supplementary materialThe online version of this article (doi:10.1186/s13033-016-0106-2) contains supplementary material, which is available to authorized users.

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“…Each assessment included questionnaires that covered health care utilization, medical conditions, medication use, and socioeconomic, demographic, and lifestyle data. Treatment history, BMI, age at diagnosis, nature of initial presentation, case record, and/or self-identification were used to determine diabetes type (25). Participants with type 2 diabetes were not treated with insulin and diagnosed at $60 years of age or were diagnosed at age ,60 years and not initially treated with insulin (25).…”

Section: Clinical Assessmentmentioning

confidence: 99%

Incidence and Determinants of Intraocular Lens Implantation in Type 2 Diabetes: The Fremantle Diabetes Study Phase II

et al. 2018

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OBJECTIVETo compare the incidence of intraocular lens (IOL) implantation for cataracts between people with and without type 2 diabetes and to determine associated risk factors in those with type 2 diabetes. RESEARCH DESIGN AND METHODSParticipants with type 2 diabetes (n = 1,499) from the community-based observational Fremantle Diabetes Study Phase II (FDS2) were age, sex, and zip code matched 1:4 with residents without diabetes. IOL implantation status was ascertained between entry (2008-2011) and the end of 2016 using validated data linkage. Age-specific incidence rates and incidence rate ratios (IRRs) for cataract surgery were calculated. Predictors of IOL implantation in FDS2 participants were assessed using proportional hazards and competing risk regression modeling. RESULTSThe crude IRR (95% CI) for cataract surgery in FDS2 participants (mean 6 SD age 62.8 6 10.8 years at entry) versus the matched group without diabetes was 1.50 (1.32-1.71), with the highest relative risk in those aged 45-54 years at the time of surgery (7.12 [2.05-27.66]). Competing risk analysis showed that age at entry, diabetes duration, serum HDL cholesterol, serum triglycerides, a severe hypoglycemic episode in the past year, and Asian and southern European ethnicity increased the risk of cataract surgery in participants with type 2 diabetes (P £ 0.025). CONCLUSIONSPeople with type 2 diabetes, especially those in younger age-groups, are at a significantly increased risk of cataract surgery than matched people without diabetes. Multifaceted prevention strategies should be incorporated as part of routine care. As well as limiting ultraviolet light exposure, these might include lipid-modifying treatment and strategies to avoid severe hypoglycemia.Cataracts are lens opacities that impair clarity of vision. They are the leading cause of visual impairment in the elderly in developed countries and the leading cause of blindness worldwide (1,2). A meta-analysis has shown that compared with people without diabetes, those with type 2 diabetes have almost double the odds of developing any type of cataract (3). Putative underlying mechanisms include increased oxidative stress through activation of the polyol pathway (4).

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Prevalence of depression and its associations with cardio-metabolic control in Aboriginal and Anglo-Celt patients with type 2 diabetes: The Fremantle Diabetes Study Phase II

Cited by 18 publications

References 36 publications

Health‐related behaviours in a remote Indigenous population with Type 2 diabetes: a Central Australian primary care survey in the Telehealth Eye and Associated Medical Services Network [TEAMSnet] project

Health‐related behaviours in a remote Indigenous population with Type 2 diabetes: a Central Australian primary care survey in the Telehealth Eye and Associated Medical Services Network [TEAMSnet] project

Comorbidity of depression and diabetes: an application of biopsychosocial model

Incidence and Determinants of Intraocular Lens Implantation in Type 2 Diabetes: The Fremantle Diabetes Study Phase II

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