Social support enhances the mediating effect of psychological resilience on the relationship between life satisfaction and depressive symptom severity

Inconsistency in psychological resilience and social support with mental health in early adolescents: A multilevel response surface analysis approach

BACKGROUND

Given the high prevalence of adolescent mental health problems, promoting understanding and implementation of protective factors is crucial for prevention and intervention efforts addressing adolescent mental health problems. This study aims to investigate whether consistency and inconsistency in protective factors are associated with adolescent mental health problems and to inform adolescent mental health interventions that target the unique needs of adolescents and promote adolescent mental health.

METHODS

We used multistage cluster sampling to conduct psychological resilience, social support, and mental health questionnaires from April to June 2023 among 10,653 Chinese adolescents (52.3 % were boys). Data were analyzed using polynomial regressions with response surface analysis.

RESULTS

The higher levels of psychological resilience and social support in adolescents were associated with fewer mental health problems (anxiety: a1 = -1.83, P < 0.001; depression: a1 = -2.44, P < 0.001; and perceived stress: a1 = -1.20, P < 0.001). When the level of psychological resilience was greater than social support, the greater the discrepancy the higher the perceived stress among adolescents (a3 = 1.19, P < 0.001). Moreover, the consistency of psychological resilience and social support had a greater impact on girls' mental health (anxiety: a1 = -1.97, P < 0.001; depression: a1 = -2.71, P < 0.001; perceived stress: a1 = -1.23, P < 0.001).

LIMITATIONS

The cross-sectional study design limited the inference of causal relationships between variables.

CONCLUSIONS

These results emphasize that adolescents need a balanced development of protective factors and targeted intervention programs for different mental health problems.

The Influence of Social Dynamics on Biological Aging and the Health of Historically Marginalized Populations: A Biopsychosocial Model for Health Disparities

Historically marginalized populations are susceptible to social isolation resulting from their unique social dynamics; thus, they incur a higher risk of developing chronic diseases across the course of life. Research has suggested that the cumulative effect of aging trajectories per se, across the lifespan, determines later-in-life disease risks. Emerging evidence has shown the biopsychosocial effects of social stress and social support on one's wellbeing in terms of inflammation. Built upon previous multidisciplinary findings, here, we provide an overarching model that explains how the social dynamics of marginalized populations shape their rate of biological aging through the inflammatory process. Under the framework of social stress and social support theories, this model aims to facilitate our understanding of the biopsychosocial impacts of social dynamics on the wellbeing of historically marginalized individuals, with a special emphasis on biological aging. We leverage this model to advance our mechanistic understanding of the health disparity observed in historically marginalized populations and inform future remediation strategies.

Does categorizing scale scores with cutoff points affect hypothesis-testing results?

BACKGROUND

The aim of this study is to evaluate the hypothesis test results after categorizing the scale scores with cut-off points and to assess whether similar results would be obtained in that best represent the categories.

METHODS

This cross-sectional study was conducted between March 15 and 20, 2023 via the Lime Survey. The questionnaire included questions about the sociodemographic and life characteristics of the participants and the Beck Depression Inventory II (BDI-II). Four groups (minimal, mild, moderate, severe depression) were formed using the cutoff points. Data analysis was performed with all participants and referred to as the conventional analysis group. Then, six subanalysis groups were determined to best represent the groups formed according to the BDI-II. In each BDI-II category, six subanalysis groups were created, including those between Q1-Q3 (IQR group), including those within ± 1 std, including those between 5p-95p (90% of the sample), including those between 2.5p-97.5p (95% of the sample). In addition, 100 different samples were randomly selected containing 50% of each group.

RESULTS

Of the 1950 participants, 84.7% (n = 1652) were female and 15.3% (n = 298) were male. In terms of depression, it was observed that the significance varied in the analysis groups for sex (p = 0.039), medication use (p = 0.009) and age (p = 0.010) variables. However, these variables were not significant in some of the subanalysis groups. On the other hand, a p < 0.001 value was obtained for income, physical activity, health perception, body shape perception, life satisfaction, and quality of life variables in terms of depression in the conventional analysis group, and it was seen that the significance continued in all subanalysis groups.

CONCLUSIONS

Our findings showed that variables with p < 0.001 in the conventional analysis group maintained their significance in the other analysis groups. In addition, as the p value got closer to 0.05, we observed that the significance changed according to different cutoff points in the analysis groups. In addition, 50% randomly selected samples support these results. At the end of our study, we reached results that support the necessity of secondary tests in the evaluation of scales. Although further studies are needed, we anticipate that our study will shed light on other studies.

Mediating the Role of Perceived Social Support Between Frailty and Self-Perceived Burden in Elderly Patients with Diabetes

Objective

To explore the mediating effects of perceived social support between frailty and self-perceived burden (SPB) in elderly patients with diabetes and to provide a theoretical basis for reducing that burden.

Methods

A total of 169 elderly patients with diabetes who were hospitalised in the endocrinology department of a third-class hospital in Wuxi between May 2020 and July 2022 were included in this study using the convenience sampling method. Patients were assessed by the general information questionnaire, the Chinese version of the Tilburg frailty inventory (TFI), the Self-Perceived Burden Scale (SPBS) and the Perceived Social Support Scale (PSSS). The SPSS 22.0 software was used for Pearson's correlation analysis and multiple linear regression analysis. Model four of the SPSS PROCESS was used for mediating the effect analysis.

Results

The SPBS of elderly patients with diabetes was positively correlated with the TFI (P < 0.01) and negatively correlated with the PSSS (P < 0.01). The results of the Bootstrap test showed that the mediating effect of the PSSS on the relationship between the TFI and the SPBS in elderly patients with diabetes was 0.296 (95% CI: 0.007, 0.066), and the mesomeric effect accounted for 17.3% of the total effect.

Conclusion

The debilitation of elderly patients with diabetes can be reduced by decreasing their SPB through perceived social support. This can be achieved through comprehensive interventions by nurses.

Influence of biopsychosocial factors on self-reported anxiety/depression symptoms among first-generation immigrant population in the U.S

BACKGROUND

Despite increasing studies on mental health among immigrants, there are limited studies using nationally representative samples to examine immigrants' mental health and its potential biopsychosocial contributing factors, especially during the COVID-19 pandemic. We explored and estimated the influence of life satisfaction, social/emotional support, and other biopsychosocial factors on self-reported anxiety/depression symptoms among a nationally representative sample of first-generation immigrants in the U.S.

METHODS

We conducted a secondary data analysis using the 2021 National Health Interview Survey among first-generation adults aged ≥ 18 years (n = 4295). We applied survey weights and developed multivariable logistic regression model to evaluate the study objective.

RESULTS

The prevalence of daily, weekly, or monthly anxiety/depression symptoms was 10.22% in the first-generation immigrant population. There were 2.04% daily, 3.27% weekly, and 4.91% monthly anxiety/depression among the population: about 8.20%, 9.94%, and 9.60% experienced anxiety symptoms, whereas 2.49%, 3.54%, and 5.34% experienced depression symptoms daily, weekly, and monthly, respectively. The first-generation population aged 26-49 years were less likely to experience anxiety/depression daily, weekly, or monthly compared to those aged 18-25. Females (versus males) were more likely to experience anxiety/depression daily, weekly, or monthly. Those who identified as gay/lesbian had higher odds of experiencing anxiety/depression daily, weekly, or monthly compared to heterosexual persons. Relative to non-Hispanic White individuals, non-Hispanic Asian, Black/African American, and Hispanic individuals had lower odds, while other/multi-racial/ethnic groups were more likely to experience anxiety/depression daily, weekly, or monthly. A higher life satisfaction score was associated with lower odds of experiencing anxiety/depression daily, weekly, or monthly. Having social/emotional support sometimes/rarely or using healthcare within the past one/two years was associated with experiencing anxiety/depression daily, weekly, or monthly.

CONCLUSIONS

The findings reveal significant burden of anxiety and depression among first-generation population in the U.S., with higher risks among subgroups like young adults, females, sexual minorities, and non-Hispanic White and other/multi-racial individuals. Additionally, individuals with lower life satisfaction scores, limited social/emotional support, or healthcare utilization in the past one or two years present increased risk. These findings highlight the need for personalized mental health screening and interventions for first-generation individuals in the U.S. based on their diversity and health-related risks.

Development and initial validation of the Mount Sinai Resilience Scale

OBJECTIVE

The construct of psychological resilience has received increasing attention in the mental health field. This article describes the development and initial validation of a novel self-report resilience scale, which addresses gaps in the resilience measurement literature by assessing thoughts and behaviors that help promote resilience rather than traits, and simultaneously evaluating multiple factors previously associated with resilience.

METHOD

Following consensus meetings focused on scale development, we conducted an online study (n = 1,864) of U.S. adults to develop and validate an initial version of the Mount Sinai Resilience Scale (MSRS).

RESULTS

An exploratory factor analysis in a random 50% of the sample suggested a seven-factor solution; this solution was then generally supported by a follow-up confirmatory factor analysis in the remaining 50% of the sample. After removing poor-fitting items, a revised 24-item scale correlated in the expected directions with established measures of perceived resilience and resilience-related constructs (e.g., social support and optimism).

CONCLUSIONS

Collectively, the results of this study provide initial support for the convergent and discriminant validity of the MSRS and describe its factor structure. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The interplay among individuals' distress, daily activities, and perceptions of COVID-19 and neighborhood cohesion: A study using network analysis

The reduction of social interactions through non-pharmaceutical interventions (NPIs) has been shown to effectively curb COVID-19 transmission. However, these control measures were often accompanied by changes in people's daily routines and constraints on their activity space, which could lead to mental distress (i.e., anxiety and depression). This study examined the interplay among individuals' anxiety, depression, daily activities, and perceptions of COVID-19 and neighborhood cohesion. Taking Hong Kong as an example, an online survey (N = 376) was conducted to collect data from participants between March 14 to May 11, 2022. The data include respondents' self-reported anxiety and depressive symptoms, daily activities (e.g., smartphone use), perceptions of COVID-19 (e.g., the possibility of infecting COVID-19), and perceptions of neighborhood cohesion. Using network analysis, we found that excessive smartphone use, life disturbance by COVID-19, and a community with people getting along well with each other were significant factors associated with participants' anxiety and depression. Using critical path analysis, we observed that NPIs reduced human mobility, led to delayed bedtime, and increased smartphone use, which were associated with participants' mental distress. We also found that NPIs and COVID-19 were associated with people's perceptions of infection and the severity of COVID-19 and human mobility flexibility, which may further lead to mental distress. Our results also demonstrated that people with high education levels were vulnerable. These results provided important insights for designing appropriate interventions without generating deleterious impacts on people's mental health in the future.

Subjective Well-Being in Cancer Patients: The Roles of Social Support, Purpose in Life, Resilience, and Informativeness

The aim of this research was to determine the relationship between subjective well-being (life satisfaction, positive and negative experiences, and prosperity) and various psychosocial factors (social support received from family members and partners, purpose in life, resilience and information) in cancer patients and to examine the possibility of predicting components of subjective well-being based on these mentioned factors in cancer patients. A total of 338 adult cancer patients from Croatia participated in the study (41.1% male and 58.9% female). To measure the constructs, the Diener Subjective Well-Being Scale, the Social Support Scale at work and in the family, the Purpose in Life Scale, the Short Resilience Scale, and the EORTC-QLQ information questionnaire were used. Results showed a high level of life satisfaction and prosperity, as well as more frequent positive compared to negative experiences. A medium to high level of social support received from family members and from the partner was determined. High levels of purpose in life and medium levels of resilience and information were found. A high correlation was found among the components of the construct of subjective well-being, and a low to medium correlation among the predictors. Positive associations were found between the criteria of life satisfaction and prosperity with psychosocial factors. Negative associations were established between the positive/negative experience variables and the factors. Furthermore, the purpose in life was determined as an important predictor of all three components of subjective well-being, social support (both sources) as important for predicting life satisfaction, resilience for experiencing positive and negative experiences, and social family support for predicting the prosperity of cancer patients.

Factors associated with changes in psychological resilience of older adults with mild cognitive impairment during the COVID-19 pandemic

Introduction

Psychological resilience is an indicator of mental health, but there has been no research to date on changes in psychological resilience among older adults with mild cognitive impairment (MCI) during the stress of the coronavirus disease 2019 (COVID-19) pandemic including factors related to those changes. To fill the gap, this study examined the factors and the changes in psychological resilience of older adults with MCI during the COVID-19 pandemic.

Methods

One hundred thirty participants completed the 10-item version of the Connor-Davidson Resilience Scale (CD-RISC-10) between December 2020 and June 2021 as a baseline assessment and between December 2021 and February 2022 as a follow-up. Participants also answered questions on sleep quality, depression symptoms, activities in daily living (ADL), instrumental ADL and social participation to explore factors associated with changes.

Results

In this cohort, the mean CD-RISC-10 scores were significantly higher than the baseline at follow-up (p < 0.05), indicating the improvement of psychological resilience. In multiple regression analyses, sleep quality was significantly correlated with change in CD-RISC-10 score (coefficient = 3.94, 95% confidence interval = 1.11 to 6.78).

Discussion

Psychological resilience could improve even during the stress of the COVID-19 pandemic in older adults with MCI who were at risk of developing dementia. The factor associated with improved psychological resilience was good sleep quality.