Literature DB >> 25137114

Social support network typologies and health outcomes of older people in low and middle income countries--a 10/66 Dementia Research Group population-based study.

Jotheeswaran A Thiyagarajan1, Martin Prince, Martin Webber.   

Abstract

This study aims to assess the construct validity of the Wenger social support network typology in low and middle income countries. We hypothesize that, in comparison with the integrated network type, the non-integrated network type is associated with loneliness, depression, poor quality of life (less happiness), poor self-reported health, increased disability and higher care needs. Cross-sectional one-phase surveys were conducted of all residents aged 65 and over in catchment areas in eight low and middle income countries (India, China, Cuba, Dominican Republic, Venezuela, Mexico, Peru and Puerto Rico). Wenger's Practitioner Assessment of Network Type (PANT) was used to measure social network type. Family dependent, local self-contained, wider community-focused and private restricted network types were considered non-integrated, in comparison to the locally integrated network type. Overall, 17,031 participants were interviewed. Family dependent and locally integrated network types were the most prevalent. Adjusted pooled estimates across sites showed that loneliness, depression, less happiness, poor health, disability, and need for care were significantly associated with non-integrated network type. The findings of this study support the construct validity of Wenger's network typology in low and middle income countries. However, further research is required to test the criterion validity of Wenger typology using longitudinal data. Identifying older people who are vulnerable could inform the development of social care interventions to support older people and their families in the context of deteriorating health.

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Mesh:

Year:  2014        PMID: 25137114     DOI: 10.3109/09540261.2014.925850

Source DB:  PubMed          Journal:  Int Rev Psychiatry        ISSN: 0954-0261


  11 in total

1.  Using structured observation and content analysis to explore the presence of older people in public fora in developing countries.

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2.  Social and behavioural risk factors in the prevention and management of cardiovascular disease in Kerala, India: a catchment area population survey.

Authors:  Saju Madavanakadu Devassy; Martin Webber; Lorane Scaria; Jotheeswaran Amuthavalli Thiyagarajan; Meredith Fendt-Newlin; Jacques Joubert; Anuja Maria Benny; Anjana Nannatt; Lynette Joubert
Journal:  BMC Cardiovasc Disord       Date:  2020-07-08       Impact factor: 2.298

3.  Social networks and their influences on nutrient intake, nutritional status and physical function in community-dwelling ethnically diverse older adults: a mixed-methods longitudinal study.

Authors:  Evans A Asamane; Carolyn A Greig; Janice L Thompson
Journal:  BMC Public Health       Date:  2020-06-26       Impact factor: 3.295

4.  Social support network typologies and their association with dementia and depression among older adults in Singapore: a cross-sectional analysis.

Authors:  Ying Wen Lau; Janhavi Ajit Vaingankar; Edimansyah Abdin; Saleha Shafie; Anitha Jeyagurunathan; Yunjue Zhang; Harish Magadi; Li Ling Ng; Siow Ann Chong; Mythily Subramaniam
Journal:  BMJ Open       Date:  2019-06-01       Impact factor: 2.692

Review 5.  A review of the 10/66 dementia research group.

Authors:  A Matthew Prina; Rosie Mayston; Yu-Tzu Wu; Martin Prince
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2018-11-22       Impact factor: 4.328

6.  Patient participation in electronic nursing documentation: An interview study among home-care patients.

Authors:  Kim De Groot; Judith Douma; Wolter Paans; Anneke L Francke
Journal:  Health Expect       Date:  2022-04-05       Impact factor: 3.318

7.  Association of Depression and Anxiety with Social Network Types: Results from a Community Cohort Study.

Authors:  Saju Madavanakadu Devassy; Lorane Scaria; Natania Cheguvera; Kiran Thampi
Journal:  Int J Environ Res Public Health       Date:  2021-06-06       Impact factor: 3.390

8.  Factors associated with social participation amongst elders in rural Sri Lanka: a cross-sectional mixed methods analysis.

Authors:  Celeste Marsh; Paul A Agius; Gamini Jayakody; Roshan Shajehan; Chandima Abeywickrema; Kelly Durrant; Stanley Luchters; Wendy Holmes
Journal:  BMC Public Health       Date:  2018-05-16       Impact factor: 3.295

9.  Typology of Social Network Structures and Late-Life Depression in Low- and Middle-Income Countries.

Authors:  Akin Ojagbemi; Oye Gureje
Journal:  Clin Pract Epidemiol Ment Health       Date:  2019-11-15

10.  Cohort profile: social well-being and determinants of health study (SWADES), Kerala, India.

Authors:  Saju M D; Lovakanth Nukala; Rameela Shekhar; Keith Gomez; Bindiya M Varghese; Anuja Maria Benny; Lorane Scaria; Sphoorthi Prabhu; Amuthavalli Thiyagarajan Jotheeswaran
Journal:  BMJ Open       Date:  2020-03-09       Impact factor: 2.692

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