Multidimensional scale of perceived social support: validity and reliability in the Indian context

Sanjeev, M.A.; Arumugam, Thangaraja; Kumar, Pankaj

doi:10.1504/ijmp.2021.116584

Cited by 4 publications

(1 citation statement)

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“…Multidimensional scale of perceived social support (MSPSS) 16 : MSPSS was a valid tool in Indian context. 20 It consisted of 12 questions and responses were recorded in a 7-point Likert scale. Minimum score was 12 and maximum score was 84; 12-35 indicated low perceived support, 36-60 indicated medium perceived support and 61-84 indicated high perceived support.…”

Section: Data Collection Tools and Techniquesmentioning

confidence: 99%

Depression among elderly and their perceived social support in a community development block of Purba Bardhaman district, West Bengal: a cross sectional study

Banerjee

Goswami

Mandal

et al. 2023

Int J Community Med Public Health

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Background: Elderly depression is major public health concern. It causes significant morbidity and mortality burden worldwide. The study aimed to estimate prevalence of elderly depression in a rural area of Purba Bardhaman district, West Bengal and to ascertain their level of perceived social support. Methods: A community-based, cross-sectional study was conducted in Bhatar community development block of Purba Bardhaman district, West Bengal, during period of August 2022 to January 2023. A calculated sample of 238 elderly people were selected by simple random sampling and interviewed with a predesigned, pretested schedule containing geriatric depression scale (GDS-15) for assessing depression, Katz index for independence in activities of daily living (ADL) and multidimensional scale for perceived social support (MSPSS) to assess level of perceived social support. Multivariable logistic regression was done to find out predictors of elderly depression. Results: Out of 238 study participants, 160 (67.2%) were suffering from depression. Prevalence of mild, moderate and severe depression was 49.2%, 14.6% and 3.4% respectively. Low, medium and high level of perceived social support was found in 36.6%, 44.1% and 19.3% study participants, respectively. Impairment in ADL [AOR: 5.045 (2.145-11.868)], presence of financial dependence [AOR: 2.977 (1.330-6.665)], pre-existing one or more co-morbidities [AOR: 2.044 (1.114-3.749)] and educational status below secondary level [AOR: 0.379 (0.199-0.720) were found to be significant predictors of elderly-depression. Conclusions: Prevalence of depression is high among elderly, along with low perceived social support. Health promotion, awareness generation about social security schemes and family support are crucial to prevent elderly depression.

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Section: Data Collection Tools and Techniquesmentioning

confidence: 99%

Depression among elderly and their perceived social support in a community development block of Purba Bardhaman district, West Bengal: a cross sectional study

Banerjee

Goswami

Mandal

et al. 2023

Int J Community Med Public Health

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How small business owners navigate stress for improved performance: Building psychological capital through peer interactions

Arıkan,

Osuji,

Ekwuribe

2024

Journal of Small Business Management

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The Digital Transformation of Work

Sanyal,

2024

Advances in Computational Intelligence and Robotics

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This chapter explores the transformative impact of automation and artificial intelligence on employment, productivity, and socioeconomic dynamics. It addresses critical questions about how automation will redefine job roles and labor markets, the essential skills for an automated economy, and how organizations and employees can adapt to these changes. The study aims to provide a comprehensive analysis of the disruptions and opportunities presented by automation, focusing on sectors likely to be affected, jobs at risk or evolving, and emerging skill requirements. Employing a mixed-methods approach, the research integrates qualitative and quantitative methodologies, including a thorough literature review, data analysis from labor market statistics, and expert interviews. The chapter is structured into key sections: an introduction outlining the significance of the topic, a literature review on existing theories and empirical studies, a methodology section detailing the research design, and a findings section presenting the analysis results. The discussion interprets these findings within broader economic and social contexts, and the conclusion summarizes key insights, policy recommendations, and suggestions for future research.

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Multidimensional scale of perceived social support: validity and reliability in the Indian context

Cited by 4 publications

References 0 publications

Depression among elderly and their perceived social support in a community development block of Purba Bardhaman district, West Bengal: a cross sectional study

Depression among elderly and their perceived social support in a community development block of Purba Bardhaman district, West Bengal: a cross sectional study

How small business owners navigate stress for improved performance: Building psychological capital through peer interactions

The Digital Transformation of Work

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