Evidence map›Paper›PMID 37663848›Full record

ArticleFrontiers in public health2023

Profiles of older adults according to their life and food-related life satisfaction during the COVID-19 pandemic: the importance of the social environment.

Berta Schnettler, Germán Lobos, Ligia Orellana, Cristian Adasme-Berríos, María Lapo, Katherine Beroíza

Abstract read
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Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Berta SchnettlerFacultad de Ciencias Agropecuarias y Medioambiente, Universidad de La Frontera, Temuco, Chile.
Germán LobosFacultad de Economía y Negocios, Universidad de Talca, Talca, Chile.
Ligia OrellanaCentro de Excelencia en Psicología Económica y del Consumo, Universidad de La Frontera, Temuco, Chile.
Cristian Adasme-BerríosDepartamento de Economía y Administración, Universidad Católica del Maule, Talca, Chile.
María LapoUniversidad Católica de Santiago de Guayaquil, Guayaquil, Ecuador.
Katherine BeroízaCentro de Excelencia en Psicología Económica y del Consumo, Universidad de La Frontera, Temuco, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Older adults are a highly heterogeneous population, as individuals of the same age can show considerable variations in personal characteristics and living conditions. Risk and protective factors for older adults' subjective wellbeing during the COVID-19 pandemic can be explored by examining how life satisfaction, food-related life satisfaction, and associated variables coexist among these individuals. On this basis, this study aimed to identify older adult profiles based on their levels of life and food-related life satisfaction; to characterize these profiles by diet quality, social support, financial wellbeing, and sociodemographic characteristics; and to identify variables associated with higher life and food-related life satisfaction. Methods: The sample included 1,371 institutionalized and non-institutionalized individuals over the age of 60, from four cities in Chile. Participants answered a survey, either online or face to face, with questions about life and food-related life satisfaction, perceived social support from family, friends, and others, food quality, financial wellbeing/distress, sociodemographic characteristics, and prior COVID-19 infection. Results: Using a latent profile analysis, we identified three profiles of older adults: Profile 1: Unsatisfied with their life, somewhat satisfied with their food-related life (5.40%); Profile 2: Somewhat satisfied with their life, satisfied with their food-related life (65.06%); Profile 3: Extremely satisfied with their life and food-related life (29.54%). Profiles differed by residence (institutionalized vs. independent), age, marital status, social support, financial wellbeing, COVID-19 infection, and city of residence. Discussion: The patterns of association between life and food-related satisfaction and related variables indicate conditions of vulnerability and protection related to living conditions, the social dimensions of food consumption, and social support. These results underscore the need for identifying groups of older adults based on diverse characteristics and conditions outside of chronological age.

Indexed as

COVID-19PandemicsAgedChileHumansSocial EnvironmentSocial SupportCOVID-19food-related life satisfactionlatent profile analysislife satisfactionolder adults

Identifiers

PMID37663848
PMCPMC10470648

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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.