Grandchildren's Depressive Symptoms and Perceptions of Family Functioning: Protective and Influencing Factors

The influence of resourcefulness on the family functioning of young- and middle-aged lymphoma patients in China: a cross-sectional study

BACKGROUND

Lymphoma has become 1 of the 10 most common cancers with increased prevalence in young- and middle-aged adults in China. This poses a tremendous burden on patients and their families and brings great challenges to maintaining the balance of family functioning in young- and middle-aged patients.

OBJECTIVE

This cross-sectional study aimed to analyse the influence of resourcefulness on the family functioning of Chinese young- and middle-aged lymphoma patients.

METHODS

A total of 172 Chinese young- and middle-aged patients with lymphoma were recruited from the oncology departments of two tertiary hospitals in Zhengzhou, Henan, China. They were invited to complete a survey that included a demographic questionnaire, the Resourcefulness Scale and the Chinese Version Family Adaptability and Cohesion Scale II. Multiple linear regression was used to analyse the related factors for family functioning.

RESULTS

The multiple regression analysis revealed that the main influencing factors of family cohesion were resourcefulness (β = 0.338, 95% CI (0.072, 0.173)), spouse caregiver (β = 0.376, 95% CI (1.938, 10.395)), and cancer stage (β = -0.274, 95% CI (-3.219, -1.047)). Resourcefulness (β = 0.438, 95% CI (0.096, 0.181)), spouse caregiver (β = 0.340, 95% CI (1.348, 8.363)), and family per capita monthly income (β = 0.157, 95% CI (0.066, 2.243)) were the influencing factors of family adaptability.

CONCLUSIONS

Healthcare professionals and family scholars should value young- and middle-aged lymphoma patients' family functioning throughout the cancer treatment process, and family interventions should be designed by healthcare providers based on patients' resourcefulness. Moreover, healthcare providers need to pay attention to the risk factors of patients' family cohesion and adaptability, such as low family per capita monthly income, and consider employing corresponding measures to help them.

Research Review: Grandparental care and child mental health - a systematic review and meta-analysis

BACKGROUND

The number of children residing in grandfamilies is growing worldwide, leading to more research attention on grandparental care over the past decades. Grandparental care can influence child well-being in various forms and the effects vary across contexts. In this systematic review and meta-analysis, we synthesize the evidence on the relation between grandparental care and children's mental health status.

METHODS

We identified 5,745 records from seven databases, among which 38 articles were included for review. Random effects meta-analyses were used to synthesize evidence from eligible studies. We also examined the variability across study and participant characteristics, including study design, recruitment method, child age, child gender, study region, family type, comparison group, and outcome rater.

RESULTS

The meta-analysis consisted of 344,860 children from the included studies, whose average age was 10.29, and of which 51.39% were female. Compared with their counterparts, children being cared for by their grandparents had worse mental health status, including more internalizing problems (d = -0.20, 95% CI [-0.31, -0.09], p = .001), externalizing problems (d = -0.11, 95% CI [-0.21, -0.01], p = .03), overall mental problems (d = -0.37, 95% CI [-0.70, -0.04], p = .03), and poorer socioemotional well-being (d = -0.26, 95% CI [-0.49, -0.03], p = .03). The effects varied by study design and child gender.

CONCLUSIONS

The findings highlight that grandparental care is negatively associated with child mental health outcomes with trivial-to-small effect sizes. More supportive programs and interventions should be delivered to grandfamilies, especially in disadvantaged communities.

Family and Social Variables Associated with Family Health

The current study examined the interrelationships among potentially relevant family and social factors associated with family health. A cross-sectional study was conducted by collecting demographic information from 432 families, including family typology, family life cycle (FLC), and social status as well as social support and stressful life events (SLEs), with self-perception of family health being measured as a dependent variable. Descriptive analysis of the sample and univariate and multivariate linear regression analyses were performed. Multivariate analyses showed that the FLC stage of families as launching centers, lower educational level of household heads, and impact of SLEs were negatively associated with family health, whereas adequate perceived social support and the number of close friends and relatives were positively associated with family health. Therefore, these factors must be considered by family nurses to promote family health and prevent family dysfunction.

Correlation Analysis of the Quality of Family Functioning and Subjective Quality of Life in Rehabilitation Patients Living with Schizophrenia in the Community

Background: Recently, the community rehabilitation model for schizophrenia patients has become increasingly popular, and the Shanghai Pudong New Area has developed a relatively complete community rehabilitation model. This study analyzed the correlation between family function and subjective quality of life in the rehabilitation of patients living with schizophrenia in the community. Methods: This study evaluated persons living with schizophrenia using the Family Assessment Device and the Subjective Quality of Life Scale. A convenient sampling method was used to select 281 rehabilitation patients living with schizophrenia in the community and 166 hospitalized persons living with schizophrenia. Results: There was a significant difference in the Family Assessment Device scores between rehabilitation patients living with schizophrenia in the community and hospitalized persons living with schizophrenia (p < 0.0001). The difference in the scores of the subjective quality of life assessment between rehabilitation patients living with schizophrenia in the community and hospitalized persons living with schizophrenia was not statistically significant (p > 0.05). The regression analysis showed that quality of family function had a significant effect on the subjective quality of life in rehabilitation patients living with schizophrenia in the community and hospitalized persons living with schizophrenia. (F = 10.770 p < 0.001), (F = 2.960 p < 0.01). Conclusions: The quality of family function plays an important role in improving the subjective quality of life in rehabilitation patients living with schizophrenia in the community. It may be beneficial to add some methods to improve family function in the current model of rehabilitation in the community.

How do grandparents influence child health and development? A systematic review

Grandparents are often a key source of care provision for their grandchildren, yet they are sidelined in caregiving research and policy decisions. We conducted a global, systematic review of the literature to examine the scope and quality of studies to date (PROSPERO database CRD42019133894). We screened 12,699 abstracts across 7 databases, and identified 206 studies that examined how grandparents influence child health and development. Indicators of grandparent involvement were contact, caregiving behaviors, and financial support. Our review focused on two research questions: how do grandparents influence child health and development outcomes, and what range of child outcomes is reported globally? We examined study design, sample characteristics, key findings, and outcomes pertaining to grandchildren's physical health, socio-emotional and behavioral health, and cognitive and educational development.  Our search captured studies featuring grandparent custodial care (n = 35), multigenerational care (n = 154), and both types of care (n = 17). We found substantial heterogeneity in the data provided on co-residence, caregiving roles, resources invested, outcomes, and mechanisms through which "grandparent effects" are manifested. We identified two important issues, related to operationalizing indicators of grandparent involvement and conceptualizing potential mechanisms, leading to gaps in the evidence base. Currently, our understanding of the pathways through which grandparents exert their influence is constrained by limited data on what grandparents actually do and insufficient attention given to interpersonal and structural contexts. We present a conceptual framework to explicitly measure and theorize pathways of care, with a view to inform research design and policy implementation. We underscore the need for more robust data on three indicators of caregiver involvement-contact, behavior, and support-and for careful description of structural and interpersonal contexts in caregiving research.