Tábatta Renata Pereira de Brito1, Daniella Pires Nunes2, Ligiana Pires Corona3, Tiago da Silva Alexandre4, Yeda Aparecida de Oliveira Duarte5. 1. Federal University of Alfenas, Rua Gabriel Monteiro da Silva, 700, Centro, Alfenas, Minas Gerais, CEP: 37130-000, Brazil. Electronic address: tabatta.brito@unifal-mg.edu.br. 2. Department of Nursing, Federal University of Tocantins, Quadra 109 Norte, Avenida NS-15, ALCNO-14, Plano Diretor Norte, Palmas 77001-090, Brazil. Electronic address: dpiresnunes@yahoo.com.br. 3. University of Campinas, R. Pedro Zaccaria, 1300, Caixa Postal 1068, Limeira, SP, CEP 13484-350, Brazil. Electronic address: lillypires@gmail.com. 4. Departament of Gerontology, Federal University of São Carlos, Rod. Washington Luís. km 235, SP-310, São Carlos, SP, CEP 13565-905, Brazil. Electronic address: tsfisioalex@gmail.com. 5. Department of Medical Surgical Nursing, School of Nursing University of São Paulo, Av. Dr. Enéas de Carvalho Aguiar, 419 - 05403-000, São Paulo, SP, Brazil. Electronic address: yedaenf@usp.br.
Abstract
OBJECTIVES: To determine the relationship between social support and mortality in older adults, independent of other health conditions. METHOD: This was a longitudinal study using the database of the 2006 SABE Study (Heath, Well-being and Aging), composed of 1413 individuals aged 60 years and over, living in São Paulo/Brazil. The present study used a questionnaire constructed for the SABE Study, which was reviewed by experts of Latin America and the Caribbean. The social network was evaluated using the variables: social support received; social support offered; number of members in the social network. The covariates included were age, gender, living arrangements, marital status, income, education, comorbidity, depressive symptoms, cognition and functional difficulties. Death as an outcome was evaluated after four years of follow-up. RESULTS: From a total of 1413 older adults at baseline, 268 died in a mean follow-up period of 3,9 years (SE=0,03). In the model adjusted offering social support and having networks composed of 9 or more members reduced the risk of death in the older adults. CONCLUSIONS: This study suggest that older adult who are offered support can benefit from mutual exchanges since reciprocity in relationships improves psychological well-being and is indicative of the quality of relationships. Thus, the older adults are part of a group of people whose role is not only to receive, but also to provide help to others, and the support offered seems to be as important as that received.
OBJECTIVES: To determine the relationship between social support and mortality in older adults, independent of other health conditions. METHOD: This was a longitudinal study using the database of the 2006 SABE Study (Heath, Well-being and Aging), composed of 1413 individuals aged 60 years and over, living in São Paulo/Brazil. The present study used a questionnaire constructed for the SABE Study, which was reviewed by experts of Latin America and the Caribbean. The social network was evaluated using the variables: social support received; social support offered; number of members in the social network. The covariates included were age, gender, living arrangements, marital status, income, education, comorbidity, depressive symptoms, cognition and functional difficulties. Death as an outcome was evaluated after four years of follow-up. RESULTS: From a total of 1413 older adults at baseline, 268 died in a mean follow-up period of 3,9 years (SE=0,03). In the model adjusted offering social support and having networks composed of 9 or more members reduced the risk of death in the older adults. CONCLUSIONS: This study suggest that older adult who are offered support can benefit from mutual exchanges since reciprocity in relationships improves psychological well-being and is indicative of the quality of relationships. Thus, the older adults are part of a group of people whose role is not only to receive, but also to provide help to others, and the support offered seems to be as important as that received.
Authors: Sara Higueras-Fresnillo; Verónica Cabanas-Sánchez; Esther García-Esquinas; Fernando Rodríguez-Artalejo; David Martinez-Gomez Journal: Qual Life Res Date: 2018-09-11 Impact factor: 4.147
Authors: Jiao Wang; Wei Sen Zhang; Chao Qiang Jiang; Feng Zhu; Ya Li Jin; Kar Keung Cheng; Tai Hing Lam; Lin Xu Journal: BMC Med Date: 2022-05-02 Impact factor: 11.150
Authors: Steffi G Riedel-Heller; Hans-Helmut König; André Hajek; Christian Brettschneider; Tina Mallon; Hanna Kaduszkiewicz; Anke Oey; Birgitt Wiese; Siegfried Weyerer; Jochen Werle; Michael Pentzek; Angela Fuchs; Ines Conrad; Melanie Luppa; Dagmar Weeg; Edelgard Mösch; Luca Kleineidam; Michael Wagner; Martin Scherer; Wolfgang Maier Journal: Qual Life Res Date: 2021-12-22 Impact factor: 3.440