Literature DB >> 28558904

Depression in diabetes mellitus-A comprehensive systematic review of literature from an Indian perspective.

Subrata Naskar1, Robin Victor2, Kamal Nath2.   

Abstract

Diabetes and depression are rapidly growing chronic health conditions that have significant negative impact upon the physical, psychological, social and occupational functioning, quality of life and often leads to socio-economic burden. Presence of both these comorbid diseases results in various short term and long term complications and increases the mortality as compared to those with depression or diabetes alone.
OBJECTIVES: Systematic review of the epidemiological data, risk factors and relationship between depression and glycaemic control among the Indian studies.
METHODS: We searched Pubmed, Pubmed Central, Google Scholar and Directory of Open Access Journal (DOAJ) databases to identify relevant Indian studies.
RESULTS: Substantial variation in the prevalence of depression in people with diabetes was found across the 41 selected studies; according to this review the range is 2% to 84% (T1DM - 2-7%; T2DM - 8%-84%). Correlates of depression in diabetic patients are advancing age, female gender, low literacy rate, burden of being from a lower socioeconomic status, rural domicile, marriage and duration of diabetes of >2years, diabetes related complications and poor glycaemic control. Sedentary life without adequate physical activities, lack of self-care are often the factors that precipitates depression in a T2DM patient and vice versa.
CONCLUSION: According to this review, among Indian population there is a significant association between depression and diabetes.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Demographics; Depression; Developing country; Diabetes mellitus; Epidemiology; India; Prevalence; Risk factors; Systematic review

Mesh:

Year:  2017        PMID: 28558904     DOI: 10.1016/j.ajp.2017.02.018

Source DB:  PubMed          Journal:  Asian J Psychiatr        ISSN: 1876-2018


  5 in total

1.  Subphenotyping depression using machine learning and electronic health records.

Authors:  Zhenxing Xu; Fei Wang; Prakash Adekkanattu; Budhaditya Bose; Veer Vekaria; Pascal Brandt; Guoqian Jiang; Richard C Kiefer; Yuan Luo; Jennifer A Pacheco; Luke V Rasmussen; Jie Xu; George Alexopoulos; Jyotishman Pathak
Journal:  Learn Health Syst       Date:  2020-08-03

2.  Depressive symptoms among elderly diabetic patients in Vietnam.

Authors:  Huyen Thi Thanh Vu; Thanh Xuan Nguyen; Huong Thi Thu Nguyen; Tu Anh Le; Tam Ngoc Nguyen; Anh Trung Nguyen; Thu Thi Hoai Nguyen; Hoang Long Nguyen; Cuong Tat Nguyen; Bach Xuan Tran; Carl A Latkin; Thang Pham; Melvyn Wb Zhang; Roger Cm Ho
Journal:  Diabetes Metab Syndr Obes       Date:  2018-10-23       Impact factor: 3.168

Review 3.  Depression And Anxiety In Patients With Juvenile Idiopathic Arthritis: Current Insights And Impact On Quality Of Life, A Systematic Review.

Authors:  Danielle C Fair; Martha Rodriguez; Andrea M Knight; Tamar B Rubinstein
Journal:  Open Access Rheumatol       Date:  2019-11-01

4.  Depression prevalence, its psychosocial and clinical predictors, in diabetes mellitus patients attending two health institutions of north India catering rural population.

Authors:  Jyoti Gupta; Dheeraj Kapoor; Vivek Sood; Sukhjit Singh; Neeraj Sharma; Pankaj Kanwar
Journal:  Indian J Psychiatry       Date:  2020-10-10       Impact factor: 1.759

5.  Prevalence of depression and its associated factors among patients with diabetes mellitus at Tirunesh-Beijing general hospital, Addis Ababa, Ethiopia.

Authors:  Nigus Alemnew Engidaw; Abate Dargie Wubetu; Elyas Admasu Basha
Journal:  BMC Public Health       Date:  2020-02-22       Impact factor: 3.295

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.