Gender difference about death anxiety among older adults: Structural Equation Model

Abstract Background The objectives of the present study were to determine the prevalence of older adults with hemodialysis (HD) abuse by family caregivers and the factors affecting it. Method This is a correlational-causal study, which is conducted in 2018 in Iran. The sample size was 367 in both groups (the older adults and their family caregivers). Data collection was done using an individual-social information questionnaire for the older adults under hemodialysis and their family caregivers, the questionnaire of elder abuse by family caregivers to the older people under hemodialysis, Zarit Burden Interview and the scale of instrumental activities of daily living (IADL). Data were analyzed by the structural equation model (SEM) method. The Fitness of proposed pattern was measured using the following indexes: chi-square/degree of freedom ratio (CMIN/DF), Normed Fit Index (NFI), comparative fit index (CFI), goodness of fit index (GFI), and standardized root mean squared residual (SRMR). The significant level in this study was considered p < 0.05. Results The results of the present study showed that more than 70 % of the older adults suffer from elder abuse by family caregivers on average. The highest median elder abuse was related to emotional misbehavior (21.46 ± 6.09) and financial misbehavior (19.07 ± 5.33), respectively. Moderate care burden was experienced by 63.2 % of caregivers. The percentage of older women and men, who needed help with daily activities was 81.4 and 80.5 %, respectively. The results showed that the caregivers’ level of education and care burden with standard beta coefficient of -0.251 and 0.200 and the educational level of older adults and IADL with the best beta coefficient of -0.299 and − 0.234, had the highest regression effect on elder abuse respectively. According to the results, the model-fit indices of the hypothesized model was meet the criteria, with the NFI = 0.951, GFI = 0.970, CFI = 0.967, and SRMR = 0.041. The outcome was suitable for the recommended level, so the hypothetical model appeared to fit the data. Conclusions The results of the present study showed that the prevalence of elder abuse by family caregivers among the older adults under hemodialysis is high. Providing psychological counseling can reduce the consequences of elder abuse.

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A Structural Equation Model of Fall Prevention Behavior among Community-dwelling Older Adults with Osteoarthritis

Korean Journal of Adult Nursing ◽

10.7475/kjan.2015.27.6.684 ◽

2015 ◽

Vol 27 (6) ◽

pp. 684 ◽

Cited By ~ 1

Author(s):

Keong Sook Jang ◽

Rhayun Song

Keyword(s):

Older Adults ◽

Structural Equation Model ◽

Fall Prevention ◽

Structural Equation ◽

Equation Model ◽

Community Dwelling ◽

Prevention Behavior ◽

Community Dwelling Older Adults

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Predictors of rehospitalization for community‐dwelling older adults with chronic heart failure: A structural equation model

Journal of Advanced Nursing ◽

10.1111/jan.14327 ◽

2020 ◽

Vol 76 (6) ◽

pp. 1334-1344

Author(s):

Chunhua Ma ◽

Wei Zhou

Keyword(s):

Heart Failure ◽

Older Adults ◽

Chronic Heart Failure ◽

Structural Equation Model ◽

Structural Equation ◽

Equation Model ◽

Community Dwelling ◽

Community Dwelling Older Adults

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The Relationships Among Structural Social Support, Functional Social Support, and Loneliness in Older Adults: Analysis of Regional Differences Based on a Multigroup Structural Equation Model

Frontiers in Psychology ◽

10.3389/fpsyg.2021.732173 ◽

2021 ◽

Vol 12 ◽

Author(s):

Haifeng Li ◽

Cong Wang

Keyword(s):

Social Support ◽

Older Adults ◽

Structural Equation Model ◽

Rural Areas ◽

Regional Differences ◽

Structural Equation ◽

Equation Model ◽

Support Network ◽

Functional Social Support ◽

The Relationship

Objective: This study investigated the relationship between structural social support and loneliness and explored whether functional social support had an intermediate role therein. It also employed a multigroup structural equation model to compare mediation models among older adults living in cities, towns, and rural areas.Methods: Using a self-made demographics questionnaire, the structural-functional social support scale, and the 3-item UCLA loneliness scale, this study collected information from 1,325 older adults identified via convenient sampling.Results: The results showed that as: (1) compared with older adults living in towns, older urban, and rural adults had higher structural social support and experienced less loneliness, while older adults’ functional social support showed no difference among the three regions (2) An analysis of the models of regional differences indicated that functional social support served as a full mediator in the relationship between structural social support and loneliness in urban older adults, and a partial mediator for older adults living in towns and rural areas.Conclusion: The relationship between structural social support and loneliness is mediated by functional social support, and this mediation model varies between older adults in cities and towns/rural areas. This study helps us understand possible mechanisms through which structural social support impacts loneliness. It suggests that nursing strategies for older adults should be adjusted according to the region and direct greater focus on the function (or quality) of the social support network and older adults living in towns.

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The interplay between anxiety, fear, protective behaviors, compassion, and resilience among older adults during a COVID-19 lockdown: a structural equation modeling study

Translational Behavioral Medicine ◽

10.1093/tbm/ibaa143 ◽

2021 ◽

Author(s):

Xin Ying Lim ◽

Ai Che Yap ◽

Rathi Mahendran ◽

Junhong Yu

Keyword(s):

Mental Health ◽

Older Adults ◽

Social Services ◽

Structural Equation Model ◽

Structural Equation ◽

Short Form ◽

Equation Model ◽

Vulnerable Groups ◽

Equation Modeling ◽

Protective Behaviors

Abstract The implementation of lockdown measures to curb the transmission of Coronavirus disease-2019 (COVID-19) has brought about significant psychological impacts and older adults have been identified as one of the vulnerable groups. In the current COVID-19 context among older adults in the community, the fear of COVID-19, anxiety symptoms, compassion, resilience, and the practice of protective behaviors are possibly related to each other in several ways. How these factors relate to each other would have important implications in managing the spread of the disease and its mental health consequences. To this end, we modeled their interrelationships using a structural equation model. Older adults (N = 421), aged 60 and above completed various questionnaires—COVID-19 Fear Inventory, Short form of the Geriatric Anxiety Inventory, COVID-19 Risky and Protective Behaviours, Resilience Appraisals Scale, and Compassion Scale during a COVID-19 lockdown. The relationships between these variables were assessed within a structural equation model. The findings showed that older adults who are more compassionate engage in protective behaviors more frequently. Additionally, frequent practice of protective behaviors and greater resilience predicted lower anxiety among older adults. Greater fear predicted higher anxiety levels but did not significantly influence an individual’s engagement in protective behaviors. Mental health services are crucial in fostering resilience and supporting older adults psychologically. Social services are also necessary in maintaining and enhancing social support for older adults. Importantly, these findings suggest that public health communications could promote compassion and avoid using a fear-based approach to increase engagement in protective behaviors.

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