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Health capability of family caregivers: how different factors interrelate and their respective contributions using a Bayesian approach

Overview of attention for article published in BMC Public Health, April 2016
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Title
Health capability of family caregivers: how different factors interrelate and their respective contributions using a Bayesian approach
Published in
BMC Public Health, April 2016
DOI 10.1186/s12889-016-3027-8
Pubmed ID
Authors

Barbara Bucki, Elisabeth Spitz, Anne-Marie Etienne, Etienne Le Bihan, Michèle Baumann

Abstract

The lifestyles of family caregivers pose risks to their physical, mental and social health. The capability to stay healthy may be protective in the context of poor socioeconomic conditions and risk behaviours, but the interrelations between its aspects and their respective influences remain unclear. The aim of this study was to evaluate the interrelations between the factors comprising health capability of family caregivers (HCFC) and the respective contributions of its components. All stroke patients admitted to all hospitals in Luxembourg were identified by the 'Inspection Générale de la Sécurité Sociale' using the national database system for care expenditure reimbursement, and asked to designate the main person caring for them. Sixty-two caregivers (mean age 59.3 years; 40 women and 22 men) responded face to face, to a questionnaire including 20 items measuring eight aspects of health capability (physical functioning, psychological functioning, lifestyle value, self-efficacy towards the use of health services, family support, social capital, material conditions/sense of security, and satisfaction with the interactions with health services). Using a Bayesian approach, significance values were estimated by comparing the test values to the posterior distribution of the parameters. Structural equation modelling with standard deviations was applied. Female family caregivers had lower scores than men in physical and psychological functioning. Family caregivers with the lowest incomes had the least lifestyle value, social capital and material conditions/security. Self-efficacy towards health services increased with age. The material conditions/sense of security factor was positively correlated with almost all the others. The items that impacted health capability factors the most were - for physical functioning - fatigue, and - for family support - feeling abandoned by the family. During the chronic phase, relationships between risk behaviours can help guide social and health decision-makers to determine their priorities in improving the lives of family caregivers. Enhancing health capability involves implementing programs that relieve family caregivers physically, and foster family networking around the person being cared for. Special attention should also be paid to the socially disadvantaged in order to fight inequalities in health capability.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 12%
Student > Master 10 9%
Student > Doctoral Student 10 9%
Researcher 8 7%
Student > Ph. D. Student 8 7%
Other 15 13%
Unknown 52 44%
Readers by discipline Count As %
Psychology 15 13%
Nursing and Health Professions 13 11%
Medicine and Dentistry 12 10%
Social Sciences 8 7%
Agricultural and Biological Sciences 3 3%
Other 7 6%
Unknown 59 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 June 2016.
All research outputs
#20,335,423
of 22,880,230 outputs
Outputs from BMC Public Health
#13,946
of 14,921 outputs
Outputs of similar age
#253,399
of 299,137 outputs
Outputs of similar age from BMC Public Health
#184
of 193 outputs
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