Social Support Rating Scale Research Articles

Association between social integration and loneliness among the female migrant older adults with children: the mediating effect of social support

BackgroundThe number of migrant older adults with children (MOAC) in China has been increasing in recent years, and most of them are women. This study aimed to explore the mediating effect of social support between social integration and loneliness among the female MOAC in Jinan, China.MethodsIn this study, 418 female MOAC were selected using multi-stage cluster random sampling in Jinan, Shandong Province, China. Loneliness was measured by the eight-item version of the University of California Los Angeles Loneliness Scale (ULS-8), and social support was measured by The Social Support Rating Scale (SSRS). Descriptive analyses, t-tests, ANOVA, and structural equation modeling (SEM) were used to illustrate the relationship between social integration, social support, and loneliness.ResultsThe average scores of ULS-8 and SSRS were 12.9 ± 4.0 and 39.4 ± 5.9 among female MOAC in this study. Social integration and social support were found to be negatively related to loneliness, and the standardized direct effect was -0.20 [95% CI: -0.343 to -0.068] and -0.39 [95% CI: -0.230 to -0.033], respectively. Social support mediated the relationship between social integration and loneliness, and the indirect effect was -0.16 [95% CI: -0.252 to -0.100].ConclusionThe female MOAC’s loneliness was at a relatively lower level in this study. It was found that social integration was negatively associated with loneliness, and social support mediated the relationship between them. Helping female MOAC integrate into the inflow city and improving their social support could be beneficial for alleviating their loneliness.

Reliability and validity of a simplified touch experiences and attitudes questionnaire for Chinese college students.

Touch cultures have both differences and commonalities in different regions. The Touch Experiences and Attitudes Questionnaire (TEAQ) is a widely applicable self-report tool. The purpose of our research was to examine the validity and reliability of the Chinese version of TEAQ for Chinese college students. We translated the 57 items of the original TEAQ into Chinese and assessed its cultural and linguistic adaptation in Chinese context. Two samples were recruited for the assessment of validity and reliability. The Social Support Rating Scale, Index of Well-being Scale and Security Questionnaire were chosen as criterion-related validity indicators. Item analysis, principal component analysis and confirmatory factor analysis indicated that the simplified Chinese version of TEAQ contained 18 items in three factors: Attitude to Intimate Touch, Childhood Touch and Current Positive Touch, with a cumulative variance contribution rate of 57.12%. The 3-factor model had good validity and reliability. The TEAQ was positively correlated with social support, sense of security and well-being. There were demographic differences in sex and left-behind experience. We anticipate the simplified TEAQ will be a valuable tool for the research of touch among Chinese college students.

Cross-lagged analysis of social support, physical activity behavior, and family relationships among university students.

To explore the causal relationship between social support, physical activity behavior, and family relationships among university students. Using the Social Support Rating Scale, the Physical Activity Behavior Self-Assessment Scale, and the Family Relationships Scale, a longitudinal follow-up survey was conducted on 412 college students in Sichuan Province at 2-month intervals in March 2024 (T1) and May 2024 (T2), to analyze the interaction mechanisms between college students' social support, physical activity behaviors, and family relationships through cross-lagging. (1) There are significant gender differences in social support, physical activity behavior, and family relationships among college students. Among the cross-lagged paths found, except for the path from T1 social support to T2 family relationships (β: 0.40 > 0.21), all other cross-lagged paths are smaller for female college students compared to male college students; (2) T1 social support was able to positively predict T2 physical activity behaviors (β = 0.50, p < 0.001), and T1 physical activity behavior can also positively predict T2 social support (β = 0.18, p < 0.01), but the path value T1 social support → T2 physical activity behavior is larger than T1 physical activity behavior → T2 social support. Therefore, social support is a causal variable for physical activity behavior; (3) T1 social support positively predicts T2 family relationships (β = 0.26, p < 0.001); (4) T1 family relationships positively predict T2 physical activity behavior (β = 0.30, p < 0.001). (5) Physical activity behavior is a mediating variable between family relationships and social support, with a mediating effect size of 0.054. There are gender differences in social support, physical activity behavior, and family relationships among college students; there is a longitudinal causal relationship between social support, physical activity behavior, and family relationships; social support is a causal variable of physical activity behavior, and social support is also a causal variable of family relationships, and family relationships are the Social support is a causal variable for physical activity behavior, social support is also a causal variable for family relations, and family relations are a causal variable for physical activity behavior, which has a partially mediating role in family relations and social support.

Effects of social support on vision-related quality of life in older adults with dry eye disease: the chain mediating role of illness perception and coping style.

This study explored the effects of social support, illness perception, coping style, and vision-related quality of life (VRQOL) in older patients with dry eye disease (DED) using a chain mediation model. A total of 407 patients with DED from a tertiary hospital in Wuxi, Jiangsu Province, China, between June and December 2023 were selected as participants. A demographic questionnaire, the Social Support Rating Scale, the Brief Illness Perception Questionnaire, the Medical Coping Modes Questionnaire, and the National Eye Institute Visual Functioning questionnaire-25 were all given to them to complete. IBM SPSS (version 27.0) was used for data analysis, and Model 6 of the PROCESS Macro was used to test the predicted chain mediation model. The positive association between social support and VRQOL demonstrated the mediation role of illness perception and coping style. Social support affected VRQOL via three pathways: illness perception (effect = 0.190), confrontational coping style (effect = 0.103), and a combination of illness perception and confrontational coping style (effect = 0.067), accounted for 23.60%, 12.80%, and 8.32% of the total effect, respectively. Social support in older patients with DED can significantly and positively predict the VRQOL. In addition to the independent mediating effect of illness perception and confrontational coping style, a chain-mediating effect exists between social support and VRQOL. The study serves as a valuable strategy for healthcare professionals to prevent and intervene in VRQOL for older patients with DED in the future.

Psychosocial markers of pre-hospital delay in patients with diabetic foot: A cross-sectional survey.

This study aimed to determine the psychosocial markers associated with pre-hospital delay among patients with diabetic foot (DF). This study has a cross-sectional design. The participants completed a questionnaire including pre-hospital time, demographic characteristics, Social Support Rate Scale, Brief Illness Perception Questionnaire and Type D Personality Scale-14. Bivariate and multivariate analyses were conducted to explore independent associations with pre-hospital delay. Only 1.8% (3/164) of participants arrived at the hospital for medical care in 24 h of symptom onset. Patients with low utilization of social support (p = 0.029), low negative illness perceptions (p = 0.014) and high levels of negative affectivity (p = 0.009) are likely to arrive late at the clinic. Medical staff should pay attention to identifying diabetic patients' Type D personalities and take actions to improve their social support as well as illness perception, so as to reduce the occurrence of hospital delay. Psychosocial factors play a vital role in the delay in seeking medical treatment for patients with DF. Medical staff need to improve patients' illness perception as well as self-management ability through health education. Importantly, key family members provide an emotional and psychological support system for diabetic patients. Therefore, nurses need to work with family members together to give information and psychological support during family visits. Additionally, building and maintaining trust with patients is crucial to encouraging individuals to express their concerns and worries. In this case, nurses may identify patients' negative emotions and conduct timely intervention, so as to achieve favourable outcomes. This study used a convenience sample of 164 participants with DF recruited from the wound clinic of Northern Jiangsu People's Hospital and Yangzhou Hospital of TCM in China.

Status quo and influencing factors of readiness for hospital discharge in patients with brain tumours after surgery.

This study aimed to investigate the status quo of readiness for hospital discharge in patients with brain tumours after surgery and to analyse its influencing factors. A total of 300 patients with brain tumours who were admitted to the neurosurgery ward of our hospital between September 2020 and December 2022 were selected as the study participants using the convenient sampling method. The readiness for hospital discharge in patients with brain tumours after surgery was investigated using a general information questionnaire, the Readiness for Hospital Discharge Scale (RHDS), the Quality of Discharge Teaching Scale (QDTS), the University of Washington Quality of Life Questionnaire (UW-QOL), and the Social Support Rating Scale (SSRS), and its influencing factors were analysed. The total RHDS score of patients with brain tumours was (155.02 ± 14.67), which was at a medium level. There was a positive correlation between readiness for hospital discharge in patients with brain tumours after surgery and the UW-QOL score (r = 0.459, p = 0.001), SSRS score (r = 0.322, p = 0.000), and QDTS score (r = 0.407, p = 0.001). The influencing factors of readiness for hospital discharge in patients with brain tumours included the content actually obtained by patients (health guidance) before discharge (p = 0.001), discharge teaching skills (p = 0.001), age (p = 0.006), swallowing status (p = 0.021), education level (p = 0.016), and objective support (p = 0.022). The readiness for hospital discharge in patients with brain tumours is at a medium level. Medical staff should give inpatients more targeted knowledge and implement personalised health education according to the patient's age, education level, swallowing status, and objective support to improve the patient's readiness for hospital discharge.

Using a Mixed-Method Approach to Explore the Factors Influencing the Family Resilience of Stroke Survivors in China.

Stroke is a critical public health issue in China that necessitates a closer examination of family resilience (defined here as the collective capacity of individuals, families and communities to effectively navigate challenges, recover from adverse events and foster positive adaptation). Amid rising stroke incidence, this study addresses the dearth of research on family resilience among stroke survivors in China, aiming to assess its level, identify influencing factors and establish coping strategies for family caregivers. This mixed-methods research employed a sequential explanatory design. Questionnaires were distributed to 258 stroke survivors and their family members at outpatient follow-up visits. In the first stage (ie the quantitative research stage), the research tools for data collection included a general demographic sociological data questionnaire, the Family Resilience Assessment Scale (FRAS), the Self-Efficacy for Managing Chronic Disease 6-Item Scale, the Caregiver Burden Scale, the Family Functioning Scale and the Social Support Rating Scale. Quantitative data were analysed using IBM SPSS 26.0 software, utilising descriptive statistics for summarising sociodemographic characteristics and conducting analyses, such as independent-sample t-tests, one-way analysis of variance and Spearman correlation analysis. The second stage (ie the qualitative research stage) involved complementing and validating the data, developing a quantitative-qualitative interview framework and selecting participants for interviews. Colaizzi's seven-step analysis was applied to analyse interview data. In the third stage, the quantitative and qualitative research results were integrated, and a comprehensive analysis was performed to obtain an accurate conclusion. A total of 242 families responded to the questionnaire (response rate: 93.8%). In total, the mean age of stroke survivors was 61.86 ± 8.76 years old, and 69.8% were male. The quantitative results showed that the FRAS mean score was (185.33 ± 24.78), which was above the medium level. The multiple linear regression analysis confirmed that family function was the strongest influencing factor on family resilience (β = 0.948, p < 0.01). The qualitative analysis revealed four themes of family adaptation experience: loss of independence and certainty, facing threats and challenges, seeking family advantage resources and adopting coping strategies. This hybrid study sheds light on the adaptation process of the families of stroke survivors, revealing family function as the primary influencer of resilience. Recognising that eliminating risk factors is challenging, our suggestion is for clinical practitioners to emphasise family strengths and implement resilience-oriented interventions. Focusing on enhancing coping abilities and fostering adaptation within families can aid in the rehabilitation process, promoting the well-being and growth of both the family unit and individual members, while alleviating caregiver burden.

Longitudinal associations between social support and sarcopenia: findings from a 5-year cohort study in Chinese aged ≥50 years.

We aimed to investigate longitudinal associations of overall social support and its sub-domains with risk of sarcopenia and its related traits in community-dwelling Chinese aged ≥ 50 years. We also explored interaction effects of potential factors on such associations. A prospective cohort study. Community-based setting in western China. We included participants aged ≥50 years with complete information necessary for analysis from the WCHAT study who did not have sarcopenia at baseline (2018) and had sufficient data for sarcopenia assessment during 2021-2023. Exposures included overall social support, subjective support, objective support and support utilization, which were assessed with the Social Support Rating Scale. Outcomes included sarcopenia, low muscle mass (LMM), low muscle strength and low physical performance, which were diagnosed with the 2019 AWGS consensus. Longitudinal associations between the exposures and outcomes were estimated by logistic regression, with generalized estimating equations (GEE) as sensitivity analyses. Subgroup analyses by potential covariates were conducted to detect interaction effects. A total of 1905 participants were finally included in the analytic sample, of whom 326 (17.1%) developed incident sarcopenia during 5-year follow-up. After controlling for confounders, higher degree of overall social support (OR = 0.87, 95%CI 0.76-0.99), subjective support (OR = 0.88, 95%CI 0.77-0.99) and support utilization (OR = 0.87, 95%CI 0.77-0.99) correlated with lower sarcopenia risk, among which higher support utilization degree was indicative of lower risk for LMM (OR = 0.88, 95%CI 0.79-0.98). GEE further revealed that overall support degree was negatively associated with risk for sarcopenia (OR = 0.86, 95%CI 0.76-0.98) and LMM (OR = 0.87, 95%CI 0.77-0.99). Objective support was neither significantly associated with sarcopenia nor its traits. No significant interaction effect was observed between overall support and the concerned confounders on sarcopenia (interaction P-value > 0.05). Overall social support degree was negatively associated with sarcopenia risk, possibly primarily through affecting muscle mass rather than muscle strength or physical performance, and such an association remained robust across subgroups with distinct characteristics. This holds implications for policymakers to conduct population-based risk assessment, and supportive strategies against sarcopenia should focus on enhancing subjective support and support utilization rather than objective support alone.

The empathy and stress mindset of healthcare workers: the chain mediating roles of self-disclosure and social support.

The hospital is a workplace full of stressful events for healthcare workers (HCWs) due to unpredictable changes in their daily routines. Perceptions of stressful events (stress mindset) have a significant impact on an individual's health and well-being. However, few studies have reported the factors and potential counter mechanisms influencing these perceptions. This study aimed to evaluate the relationship between empathy, self-disclosure, social support, and stress mindset of HCWs, and to explore the mechanism of empathy on stress mindset. Five hundred and eight HCWs (35.2% men and 64.8% women) completed the Interpersonal Reactivity Index (IRI), the Distress Disclosure Index (DDI), the Social Support Rating Scale (SSRS), the Stress Mindset Measure (SMM), and demographic questionnaires online in China. The results showed that empathy was positively linked with stress mindset and positively correlated with self-disclosure and social support. In the multiple mediating model, self-disclosure and social support mediated the association between empathy and stress mindset sequentially. The results imply that empathy, self-disclosure, and social support play a significant role in the formation of HCWs' stress mindset. These findings have substantial ramifications for reducing stress and creating successful government interventions to fortify stress mindset in healthcare.

Prevalence and Risk Factors of Postpartum Depression Among Women in Low‐Income Developing Rural Areas: A Cross‐Sectional Study in China

Background: Postpartum depression (PPD) significantly affects the welfare of mothers, infants, families, and communities. Mothers in rural areas often face low incomes, poor social security, low education levels, and inadequate medical services. These specific cultural, social, and economic aspects have led to a worsening of PPD in rural areas. However, the current situation of PPD among women in rural areas of China is still insufficiently explored.Aim: This study aims to explore the prevalence and risk factors of PPD among women in low‐income developing rural areas of China.Methods: A cross‐sectional design was used in this study. Edinburgh Postnatal Depression Scale (EPDS) was applied to evaluate PPD symptoms. General demographic questionnaire, obstetrics‐/pediatrics‐related questionnaire, and psychosocial‐related questionnaire were adopted. Abuse Assessment Screen (AAS) was utilized to assess experienced intimate partner violence during pregnancy and postpartum. Social Support Rating Scale (SSRS) was utilized to measure their levels of social support.Results: Of the 467 participants, the overall prevalence of PPD among women in rural areas of China was 16.5%, and the average EPDS score was 8.35 (SD = 4.50). PPD occurred most frequently at 7–9 months postpartum (33.8%). Six factors associated with PPD were whether the sex of the baby was in line with the family’s expectations, monthly income of partners, social support, IPV during pregnancy and childbirth, and negative life events in the last 1 year, as well as physical and mental exhaustion from caring for a baby.Conclusions: This study sheds light on the prevalence and various risk factors associated with PPD among women residing in low‐income developing rural areas of China. The findings highlighted the need for targeted interventions and support systems designed to address the specific socioeconomic and cultural difficulties encountered by rural mothers.

Development and validation of a prediction nomogram for depressive symptoms in gout patients.

The objective of the study was to explore the risk factors for depressive symptoms in patients with gout and to construct and validate a nomogram model. From October 2022 to July 2023, a total of 469 gout patients from a Class iii Grade A hospital in Northeast China were selected as the research objects by the convenience sampling method. The General Information Questionnaire, Self-Rating Depression Scale, Gout Knowledge Questionnaire, Self-Efficacy Scale for Managing Chronic Disease (SEMCD), and Social Support Rating Scale were used to conduct the survey. Univariate and multivariate logistic regression analyses were used to establish a depression risk prediction model and construct a nomogram. The bootstrap method was used to verify the performance of the model. The detection rate of depressive symptoms in gout patients was 25.16%. Binary logistic regression analysis showed that male, the number of tophi, acute attack period, lack of knowledge about gout, the number of attacks in the past year, and the duration of the last attack were independent risk factors for post-gout depression. Female, interictal period, chronic arthritis period, knowledge of gout, and social support were protective factors for post-gout depression (p < 0.05). The calibration (χ2 = 11.348, p = 0.183, p > 0.05) and discrimination (AUC = 0.858, 95%CI: 0.818-0.897) of the nomogram model for depressive symptoms in gout patients were good. The prevalence of depressive symptoms in gout patients is high, and it is affected by gender, current disease stage, number of tophi, gout knowledge level, the number of attacks in the past year, and the last attack days. The nomogram model is scientific and practical for predicting the occurrence of depressive symptoms in gout patients.

Sleep quality and mental health among Chinese nurses after the COVID-19 pandemic: A moderated model.

In the specialized nursing setting, nurses are susceptible to developing negative mental health issues. Such conditions among nurses can potentially result in unfavorable medical outcomes. Consequently, this study aims to explore the role of social support in regulating between sleep and mental health in nurses. A cross-sectional study was carried out in September 2022 on 1219 nurses in Quanzhou. The study comprised general demographic information and utilized various questionnaires, namely the Social Support Rate Scale (SSRS), Pittsburgh Sleep Quality Index Questionnaire (PSQI), Generalized Anxiety Disorder Questionnaire (GAD-7), and Patient Health Questionnaire-9 (PHQ-9). The data analysis was performed using t-tests, ANOVAs, Pearsons correlations and hierarchical regression analyses in SPSS software. Results show that significant associations of sleep quality and social support with anxiety and depression. Simple slope analysis shows that under low levels of social support, sleep quality has a positive impact on anxiety(β = 0.598) and depression(β = 0.851), and the impact is significant. Under high levels of social support, sleep quality also has a positive impact on anxiety(β = 0.462) and depression(β = 0.578), but the impact is smaller. This indicates that as the level of social support increases, the positive predictive effect of sleep quality on anxiety and depression gradually diminishes. Social support has the potential to alter the impact of sleep quality on anxiety and depression. Therefore, healthcare policymakers need to focus on enhancing the level of social support and mitigating the impact of poor sleep on anxiety and depression.

Social Support, Parenting Self-Efficacy, and Postpartum Depression Among Chinese Parents: The Actor-Partner Interdependence Mediation Model.

Postpartum depression affects both mothers and fathers. This study aimed to examine the relationships between social support, parenting self-efficacy, and postpartum depression in Chinese mothers and fathers and assess the mediating effect of parenting self-efficacy using a dyadic perspective. A cross-sectional study was implemented from December 2020 to July 2021 in Guangzhou, China, with 309 pairs of parents. The Edinburgh Postnatal Depression Scale, Social Support Rating Scale, Parenting Sense of Competence Scale-Efficacy subscale, and sociodemographic data sheet were completed by both parents. Dyadic analysis was conducted using the actor-partner interdependence mediation model. An actor effect is the relationship between variables within an individual, whereas a partner effect is the relationship between variables in the individual and the dyadic partner. In total, 20.7% of mothers and 11.7% of fathers had elevated postpartum depressive symptoms at 6 weeks postpartum. The model revealed 6 actor effects: social support was positively associated with parenting self-efficacy for mothers (β, 0.39; 95% CI, 0.28-0.49) and fathers (β, 0.39; 95% CI, 0.30-0.48) and negatively associated with postpartum depression for mothers (β, -0.22; 95% CI, -0.32 to -0.12) and fathers (β, -0.37; 95% CI, -0.48 to -0.26). Parenting self-efficacy was negatively associated with postpartum depression in mothers (β, -0.41; 95% CI, -0.53 to -0.29) and fathers (β, -0.24; 95% CI, -0.37 to -0.12). Maternal social support had a partner effect on paternal parenting self-efficacy (β, 0.14; 95% CI, 0.04-0.24). Parenting self-efficacy mediated between social support and postpartum depression for both parents (mothers: β, -0.16; 95% CI, -0.23 to -0.10; fathers: β, -0.10; 95% CI, -0.16 to -0.05). Postpartum depression was a dyadic phenomenon. Increasing mother-centered social support has the potential to improve the parenting self-efficacy of both parents and reduce the likelihood of postpartum depression.

Psychosocial factors of insomnia in depression: a network approach

BackgroundInsomnia symptoms in patients with major depressive disorder (MDD) are common and deleterious. Childhood trauma, personality traits, interpersonal distress, and social support contribute to insomnia, but how they interact to affect insomnia remains uncertain.MethodsA total of 791 patients with MDD completed the Insomnia Severity Index, Eysenck Personality Questionnaire, Interpersonal Relationship Comprehensive Diagnostic Scale, Childhood Trauma Questionnaire, Social Support Rating Scale and Hamilton Depression Scale-17. This study utilized network analyses to identify the central symptoms of insomnia and their associations with psychosocial factors.ResultsWorrying about sleep was identified as the central symptom in the insomnia network, insomnia and associated personality network, insomnia and associated interpersonal disturbance network, insomnia and associated childhood trauma network, insomnia and associated social support network, and the integrated network of insomnia symptoms and associated psychosocial factors. In the networks of insomnia symptoms and individual psychosocial factors, most psychosocial factors (other than childhood trauma) were directly or indirectly related to insomnia symptoms; however, neuroticism was the only factor directly associated with insomnia symptoms before and after controlling for covariates. In the final integrated network of insomnia symptoms and psychosocial factors, neuroticism was a bridge node and mediated the relationships of social support and interpersonal disturbances with insomnia symptoms, which is clearly presented in the shortest pathways.ConclusionsWorrying about sleep and neuroticism were prominent in the integrated network of insomnia symptoms and associated psychosocial factors, and the edge between them connected psychosocial factors and insomnia symptoms in MDD patients.

Relationships Among Demographic Factors, Stigma, Social Support, and Self-Management in Individuals With Bipolar Disorder in Remission.

The current cross-sectional study aimed to investigate the extent to which demographic characteristics, stigma, and social support impact the self-management abilities of individuals with bipolar disorder in remission. Participants (N = 114) completed a demographic questionnaire, Self-Stigma Scale-Short Form, Social Support Rating Scale, and Self-Management Scale for Patients With Bipolar Disorder. Mean scores were 60.65 (SD = 10.42) for self-management, 35.76 (SD = 7.14) for social support, and 21.38 (SD = 5.06) for stigma. In the univariate analysis, age, educational level, method of payment for care, illness duration, and number of hospitalizations demonstrated significant associations with self-management (p < 0.05). Correlation analysis revealed a positive correlation between self-management and social support (r = 0.574, p < 0.01) and negative correlations between self-management and stigma (r = -0.489, p < 0.01) and stigma and social support (r = -0.476, p < 0.01). Multiple linear regression analysis included number of hospitalizations (β = -3.818), social support (β = 0.436), literacy (β = 2.132), and stigma (β = -0.397). Individuals in remission from bipolar disorder exhibit moderate levels of self-management. Follow-up interventions should prioritize enhancing social support and addressing stigma to promote improved self-management and overall well-being. [Journal of Psychosocial Nursing and Mental Health Services, 62(7), 26-35.].

The associations between social support, self-regulatory fatigue, and health-promoting behaviors among people with type 2 diabetes mellitus: a cross-sectional survey.

The prevalence of diabetes in China is increasing annually, posing a serious public health challenge. Health-promoting behaviors are crucial for enhancing the quality of life in individuals with type 2 diabetes. However, the relationship between self-regulatory fatigue in type 2 diabetes, social support, and health-promoting behaviors remains unclear. This study aimed to explore the interconnections among social support, self-regulatory fatigue, and health-promoting behaviors, as well as to examine the mediating role of self-regulatory fatigue in patients with type 2 diabetes mellitus. A cross-sectional design was employed using the Self-Regulatory Fatigue Scale (SRF-S), the Social Support Rating Scale (SSRS), and the Health Promotion Scale for People with Diabetes Mellitus (T2DHPS). These scales assessed social support, self-regulatory fatigue, and health-promoting behaviors in 316 patients with type 2 diabetes mellitus, exploring the relationships among these variables. SPSS and AMOS were used for statistical analysis to investigate the mediating effects. Social support in type 2 diabetes mellitus positively predicted health-promoting behaviors (β = 0.401, p < 0.001). The regression coefficients of self-regulatory fatigue in patients with type 2 diabetes mellitus social support (β = -0.502, p < 0.001), and health-promoting behaviors (β = -0.331, p < 0.001), both exhibiting significant differences. Self-regulatory fatigue mediated the relationship between social support and health-promoting behaviors in these patients, with a mediation effect of 0.166, consisting of 29.28% of the total effect. A significant interplay exists among social support, self-regulatory fatigue, and health-promoting behaviors in patients with type 2 diabetes mellitus. The findings suggest that self-regulatory fatigue mediates the relationship between social support and health-promoting behaviors. Healthcare professionals should focus on enhancing patients' social support to mitigate self-regulatory fatigue and improve health behaviors.

Exploring fear of cancer recurrence and related factors among breast cancer patients: A cross-sectional study.

Fear of cancer recurrence (FCR) is a multifaceted concept influenced by individual characteristics, social support, psychological factors. This study aims to identify distinct FCR profiles among breast cancer patients and explore the associated variables with these patterns. A cross-sectional study was conducted from April 2022 to March 2023. A convenience sample of 339 patients completed a questionnaire that assessed general and disease-related data, including the Fear of Progression Questionnaire-Short Form, Social Support Rating Scale, Medical Coping Modes Questionnaire. Statistical analysis involved latent profile analysis (LPA) and multinomial logistic regression. Three latent patterns of FCR were found: the low fear (28.9%), the moderate fear (51.3%), and the high fear (18.0%). The study identified the social support, family monthly income, employment status, utilization of confrontation coping mode and avoidance coping mode, as factors that impacted the FCR. Social support, family monthly income, employment status, and medical coping modes have been found to impact the FCR among newly diagnosed breast cancer patients. Healthcare professionals should focus on addressing FCR at diagnosis and implement effective interventions, such as promoting social support and encouraging adaptive coping, to alleviate this concern. Urgently addressing the FCR in Chinese breast cancer patients is imperative due to its profound influence on their holistic health. Through advanced LPA, we categorized the FCR progression, highlighting risks. These findings have implications for healthcare strategies, offering new insights to manage the FCR and improve patient well-being. Our study adds a fresh perspective to the factors underlying the FCR in breast cancer patients, contributing to the broader comprehension and management of this complex survivorship issue. No patient or public contribution.

Cardiovascular disease risk perceptions and influencing factors among Chinese systemic lupus erythematosus patients.

Systemic Lupus Erythematosus patients (SLE) are at a higher risk of cardiovascular events than the general population. This study aimed to investigate the risk perception of cardiovascular disease (CVD) and to analyze its influence factors among Chinese SLE patients. This was a cross-sectional study. Convenience sampling was used to select 201 patients with SLE who had attended the outpatient and inpatient departments of the Department of Rheumatology and Immunology at the First Affiliated Hospital of the University of Science and Technology of China from November 2022 to March 2023. The following were used in the study: the Chinese version of the Attitudes and Beliefs about Cardiovascular Disease Risk Questionnaire, the Social Support Rating Scale, the Connor-Davidson Resilience Scale, the General Self-Efficacy Scale, the Hospital Anxiety and Depression Scale, the Health Literacy Management Scale, and sociodemographic and disease-related data. The mean (standard deviation) risk perception score of CVD patients with SLE was 57.18 ± 13.02. A Pearson correlation analysis showed that CVD risk perceptions were positively correlated with health literacy (r = 0.152, p < .05) and depression (r = 0.277, p < .05), and negatively correlated with social support (r = -0.393, p < .05) and psychological resilience (r = -0.374, p < .05). A multiple linear regression analysis showed that body mass index (BMI), family history, health literacy, depression, social support, and psychological resilience were the main factors influencing CVD risk perceptions among Chinese SLE patients (p < .05). Body mass index, family history, health literacy, depression, social support, and psychological resilience influenced CVD risk perceptions among Chinese SLE patients. Healthcare workers should objectively and accurately assess the levels of CVD risk perception among SLE patients, identify the risk factors of CVD, adopt effective health risk communication strategies to help patients develop appropriate risk perceptions, and raise risk awareness to adopt active coping approaches to reduce risk.

The effect of psychosocial state in patients with subjective cognitive decline, mild cognitive impairment, and Alzheimer’s disease: A cross‐sectional study

AbstractBackgroundSocial support and mental health are important issues in the context of elderly care. Social support is beneficial to both mental health and cognition. The purpose of this study was to investigate the effect of social support and mental health in patients with subjective cognitive decline (SCD), mild cognitive impairment (MCI) and Alzheimer´s disease (AD).MethodIn this cross‐sectional, observational study, participants were 219 people between 45 and 93 (mean age = 61.82; SD = 10.13), and divided into three cognitive groups (SCD, MCI, AD). Neuropsychological assessment and psychological questionnaires were used for data collection and analysis.ResultThe SCD group and MCI group scored higher than patients with AD on the Adult Mental Health Scale (AMHS) and the Social Support Rating Scale (SSRS). The results of this study suggest that the degree of cognitive impairment of middle‐aged and old people is affected by age and education level, and is related to the level of social support and mental health status (P&lt;0.05).ConclusionThe level of social support, mental health and cognitive decline are closely related in patients with cognitive impairments. Therefore, it is very important to give early intervention to middle‐aged and old people with poor mental health status and social support status, so as to delay the progression of cognitive impairment.

The mediation effect of social support between stigma and social alienation in patients with stroke.

Social alienation is prevalent and causes adverse outcomes in stroke. Previous studies have linked stigma with social alienation. However, little is known about the mechanisms behind this relationship. This study explored the mediation effects of social support between stigma and social alienation. A cross-sectional design was used to study 248 patients with stroke admitted to a tertiary rehabilitation hospital in Beijing, China, from December 2022 to July 2023. Patients were assessed using a general information questionnaire, the Stroke Stigma Scale, the Social Support Rating Scale, and the Generalized Social Alienation Scale. The PROCESS macro in SPSS was used to examine the mediation model. The results showed that stigma has a negative effect on social support (β = -0.503, p<0.001); stigma has a positive effect on social alienation (β = 0.768, p<0.001). Social support mediated the relationship between stigma and social alienation, with a mediation effect of 0.131 (95%CI: 0.060, 0.214), and indirect effects accounted for 17.06% of the total effect. Social support mediated the relationship between stigma and social alienation. These findings suggest that intervention targeting the enhancement of social support may prevent or reduce social alienation among patients with stroke.