Evidence map›Paper›PMID 25317297›Full record

ArticleInternational journal of preventive medicine2014

Psychiatric Co-morbidities among Patients with Select Non-communicable Diseases in a Coastal City of South India.

Vaman Kulkarni, Palanivel Chinnakali, Tanuj Kanchan, Abhijith Rao, Madhava Shenoy, Mohan Kumar Papanna

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Article in International journal of preventive medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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12citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Review
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  8. Risk of COVID-19 Transmission and Livelihood Challenges of Stranded Migrant Labourers during Lockdown in India.The Indian journal of labour economics : the quarterly journal of the Indian Society of Labour Economics · 2021
    Article
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Vaman KulkarniDepartment of Community Medicine, Kasturba Medical College, Manipal University, Mangalore, Karnataka, India.
Palanivel ChinnakaliDepartment of Preventive and Social Medicine, Jawaharlal Nehru Postgraduate Institute of Medical Education and Research, Puducherry, India.
Tanuj KanchanDepartment of Forensic Medicine, Kasturba Medical College, Manipal University, Mangalore, Karnataka, India.
Abhijith RaoDepartment of Community Medicine, Kasturba Medical College, Manipal University, Mangalore, Karnataka, India.
Madhava ShenoyDepartment of Community Medicine, Kasturba Medical College, Manipal University, Mangalore, Karnataka, India.
Mohan Kumar PapannaDepartment of Community Medicine, Kasturba Medical College, Manipal University, Mangalore, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPsychiatric illnesses are an important group of co-morbidities that can occur among patients with non-communicable diseases (NCDs). Both these chronic conditions have an important implication in terms of quality of life, general well-being and cost of treatment and general longevity of the patient. The objectives of our study were to assess the burden of psychiatric co-morbidities among patients with select NCDs and to identify the determinants associated with them.

methodsA cross-sectional study was conducted at the outpatient departments (OPDs) of Government District Hospital, Mangalore. The study was conducted among patients with select NCDs viz. diabetes mellitus, hypertension, ischemic heart diseases and their combinations attending OPDs of Government District Hospital, Mangalore. Participants were interviewed using Patient Health Questionnaire-Somatic, Anxiety and Depressive Symptoms. Data analysis was performed using SPSS version 11.0 (SPSS Inc., 233 South Wacker Drive, 11(th) floor, Chicago, IL 60606-6412). Bivariate and logistic regression analyses were performed to test the association between different variables.

resultsAmong the 282 study participants, psychiatric illnesses observed were somatization (n = 99, 35.1%), anxiety (n = 54, 19.1%) and depression (n = 82, 29.1%). Bivariate analysis showed significant negative association (P <0.05) between psychiatric illness and factors such as education, marital status, age <60 years, duration of illness of <10 years. However, on multivariate analysis only marital status (odds ratio [OR]: 0.500, confidence interval [CI]: 0.321-0.777, P = 0.002) and duration of illness (OR: 0.651, CI: 0.439-0.967, P = 0.032) were found to be significantly associated negatively with depression and anxiety.

Indexed as

Mental healthnon-communicable diseasespsychiatric illnessesSouth India

Identifiers

PMID25317297
PMCPMC4192776

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.