Evidence map›Paper›PMID 32754497›Full record

ArticleJournal of family medicine and primary care2020

Prevalence and determinants of geriatric depression in North India: A cross-sectional study.

Bhavna Sahni, Kiran Bala, Tejinder Kumar, Akash Narangyal

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Article in Journal of family medicine and primary care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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17citing papers in PubMed, 1 pooled it
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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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Bhavna SahniDepartment of Community Medicine, Government Medical College, Jammu City, Jammu and Kashmir, India.
Kiran BalaDepartment of Community Medicine, Government Medical College, Jammu City, Jammu and Kashmir, India.
Tejinder KumarDirectorate of Health Services, Jammu, Jammu and Kashmir, India.
Akash NarangyalGovernment Medical College, Jammu, Jammu and Kashmir, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

context"Aging India" has become a phenomenon of public health importance. Old age is beset with physical, mental, and social challenges. Among these, mental health concerns are least prioritized in most of the developing countries with depression being the most common and easy to screen.

aimsTo assess the burden of geriatric depression and determine its association with sociodemographic factors such as religion, age, gender, education, marital status, and family type. SETTINGS AND

designA cross-sectional study was conducted in July-August 2018 in village Kirpind in north India. METHODOLOGY: 162 subjects aged 60 years or more, both males and females participated in the study. Depression was assessed using the 15-item Geriatric Depression Scale and those with a GDS score >=5 were categorized as depressed. STATISTICAL ANALYSIS USED: Pearson's Chi-square test and binary logistic regression were used for analysis.

resultsNearly 59.3% of subjects had no depression, 33.9% were suffering from mild to moderate depression whereas 6.8% were severely depressed. The mean age of subjects was 69 (±7.4) years. Chi-square test was used to study the association of various factors with depression and only female gender showed a positive statistical association. On using binary logistic regression analysis, being female again emerged to be a significant predictor of depression while no other factor was significantly associated with the outcome.

conclusionsThere is a need to sensitize primary care workers and physicians to identify and manage geriatric depression early. It also points towards the need for multicentric, longitudinal studies evaluating various aspects of geriatric depression.

Indexed as

Ageingdepressiongeriatricrisk factorsrural

Identifiers

PMID32754497
PMCPMC7380778

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