Correlations between caregiver competence, burden and health-related quality of life among Chinese family caregivers of elderly adults with disabilities: a cross-sectional study using structural equations analysis

Niu, Shuzhen; Ding, Silian; Wu, Songqi; Ma, Jiajia; Shi, Yan

doi:10.1136/bmjopen-2022-067296

Cited by 2 publications

(1 citation statement)

References 47 publications

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“…This indicates that the path analysis model has good fit (Table 5 ) . The model parameters demonstrated that the fitting effect of the model was acceptable 50 . The model was continuously revised by referring to the model fitting degree, and the influencing factors for AD were finally included in the path analysis.…”

Section: Resultsmentioning

confidence: 83%

Path analysis of influencing factors for maternal antenatal depression in the third trimester

Wang,

Gu,

Zhang

et al. 2024

Sci Rep

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Maternal antenatal depression (AD) is a nonpsychotic depressive episode during pregnancy that can harm both the pregnant woman and the fetus. This study aimed to investigate the intrinsic interrelationships between AD and its influencing factors by constructing a path model. This survey-based cross-sectional study included 1071 pregnant women who underwent pregnancy examinations in three hospitals in Nantong City, China, between February and June 2023. General information and information regarding maternal AD, pregnancy stress, prenatal anxiety, social support, marital satisfaction, sleep quality, and resilience were collected. Multiple linear regression analysis using SPSS 25.0 was employed to determine the factors influencing pregnancy depression, and Amos25.0 was used to construct a structural equation model. AD incidence was 19.4% (208/1071). The independent risk factors affecting AD in pregnant women have been integrated into the established path analysis model. The model demonstrated a good fit (χ2/DF = 1.238, comparative fit index = 0.999, goodness-of-fit index = 0.998, normed fit index = 0.996, adjusted goodness-of-fit index = 0.990, incremental fit index = 0.999, and root mean square error of approximation = 0.015). While prenatal anxiety (0.230) and hyperthyroidism (0.048) only had direct effects on AD, mental resilience was the biggest factor affecting AD, followed by pregnancy stress, marital satisfaction, prenatal anxiety, sleep quality, social support, and hyperthyroidism. Improved mental resilience, social support, sleep quality, and marital satisfaction; reduced pregnancy stress and prenatal anxiety; and effective hyperthyroidism treatment might reduce AD. This study underscored the significance of delivering actionable strategies and tangible assistance to pregnant women to reduce AD.

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Section: Resultsmentioning

confidence: 83%

Path analysis of influencing factors for maternal antenatal depression in the third trimester

Wang,

Gu,

Zhang

et al. 2024

Sci Rep

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Factors associated with quality of life among elderly patients with type 2 diabetes mellitus: the role of family caregivers

Zan,

Meng,

et al. 2024

BMC Public Health

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Background As a long-term chronic disease, Type 2 diabetes mellitus (T2DM) patients’ quality of life is affected by both themselves and his/ her close relatives, requiring comprehensive support from family members to ensure that patients are able to manage disease. The objective of this study is to investigate the relationship between caregivers’ sense of coherence, caregiver competence, and T2DM patients’ quality of life, as well as to explore the factors affecting patients with T2DM patients. Methods This investigation was a cross-sectional study. Between October 2022 and July 2023, 392 participant-caregiver dyads from two hospitals in Jinzhou City, Liaoning Province, were researched. Participants were investigated by General Characteristics Questionnaire, Modified Barthel Index (MBI), Diabetes Specific Quality of Life Scale (DSQLS), Sense of Coherence scale-13 (SOC-13), and Family Caregiver Task Inventory (FCTI). Data were statistically analyzed using SPSS 25. Univariate and multivariate linear regression analyses were used to identify the independent factors associated with the quality of life of elderly patients with T2DM. Results The average score of T2DM quality of life was 61.14 (SD = 7.37), quality of life was negatively correlated with sense of coherence (r=-0.344, P<0.01) and positively correlated with caregiver competence (r = 0.522, P<0.01). Furthermore, we found that age, disease duration, activities of daily living scores, sense of coherence, and caregiver competence scores were the main predictors of quality of life (R2 = 0.375, P < 0.001). Conclusions This study found that high levels of sense of coherence and caregiver competence in family caregivers were associated with better quality of life for patients. Furthermore, we also found that good quality of life was also related to younger age, shorter disease duration, and less dependence. This study offers a feasible example for policymakers to improve the quality of life from the perspective of T2DM patients’ family caregivers.

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Correlations between caregiver competence, burden and health-related quality of life among Chinese family caregivers of elderly adults with disabilities: a cross-sectional study using structural equations analysis

Cited by 2 publications

References 47 publications

Path analysis of influencing factors for maternal antenatal depression in the third trimester

Path analysis of influencing factors for maternal antenatal depression in the third trimester

Factors associated with quality of life among elderly patients with type 2 diabetes mellitus: the role of family caregivers

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