How social media usage affects psychological and subjective well-being: testing a moderated mediation model.

BACKGROUND: A growing body of literature demonstrates that social media usage has witnessed a rapid increase in higher education and is almost ubiquitous among young people. The underlying mechanisms as to how social media usage by university students affects their well-being are unclear. Moreover, current research has produced conflicting evidence concerning the potential effects of social media on individuals' overall well-being with some reporting negative outcomes while others revealing beneficial results. METHODS: To address the research gap, the present research made an attempt to investigate the crucial role of social media in affecting students' psychological (PWB) and subjective well-being (SWB) by testing the mediating role of self-esteem and online social support and the moderation effect of cyberbullying. The data in the study were obtained from a sample of 1,004 college students (483 females and 521 males, Mage = 23.78, SD = 4.06) enrolled at 135 Chinese universities. AMOS 26.0 and SPSS 26.0 as well as the Process macro were utilized for analyzing data and testing the moderated mediation model. RESULTS: Findings revealed that social media usage by university students was positively associated with their PWB and SWB through self-esteem and online social support, and cyberbullying played a moderating role in the first phase of the mediation process such that the indirect associations were weak with cyberbullying reaching high levels. CONCLUSION: These findings highlight the importance of discerning the mechanisms moderating the mediated paths linking social media usage by young adults to their PWB and SWB. The results also underline the importance of implementing measures and interventions to alleviate the detrimental impacts of cyberbullying on young adults' PWB and SWB.

The Association Between Resiliency Factors and Suicide Indicators Among American Indian/Alaska Native Middle School Students in New Mexico: A Strength-Based Analysis.

OBJECTIVE: Suicide is a leading cause of death among American Indian/Alaska Native (AI/AN) young people aged 10-19 years in the United States, but data collection and reporting in this population are lacking. We examined results of an oversample project in New Mexico to determine the association between resiliency factors and suicide-related behaviors among AI/AN middle school students. METHODS: We conducted analyses using data from the 2019 New Mexico Youth Risk and Resiliency Survey for students in grades 6 through 8. An oversampling method was used to increase the sample size of AI/AN students. We used logistic regression to determine the association between resiliency factors and suicide indicators among AI/AN students, stratified by sex. RESULTS: Among female AI/AN students, community support had the strongest protective effect against having seriously thought about suicide (adjusted odds ratio [aOR] = 0.23; 95% CI, 0.14-0.38), while family support was significantly associated with the lowest odds of having made a suicide plan (aOR = 0.15; 95% CI, 0.08-0.28) and having attempted suicide (aOR = 0.21; 95% CI, 0.13-0.34) (P < .001 for all). Among male AI/AN students, school support had the strongest protective effect against all 3 outcomes: seriously thought about suicide (aOR = 0.34; 95% CI, 0.19-0.62; P < .001), having made a suicide plan (aOR = 0.19; 95% CI, 0.09-0.39; P < .001), and having attempted suicide (aOR = 0.27; 95% CI, 0.12-0.65; P = .003). CONCLUSIONS: Oversampling AI/AN young people can help accurately quantify and understand health risk behaviors and strengths of this population, leading to improved health and wellness. Family, community, and school-based support should be considered in interventions geared toward suicide prevention among AI/AN young people.

Predictors of Adolescent Resilience During the COVID-19 Pandemic in a Community Sample of Hispanic and Latinx Youth: Expressive Suppression and Social Support.

The COVID-19 pandemic has created unprecedented disruptions in the daily lives and mental health of adolescents. Less attention has been given to the psychosocial resources that may mitigate the impact of COVID-19 on adolescent mental health, particularly among minoritized populations. In the present study, 259 youth (aged 11-18) were recruited from a community center for integrated prevention and intervention services in a predominantly Latinx and Hispanic community. Youth completed questionnaires about the impact COVID-19 has had on their lives, psychosocial resources (humor, optimism, emotion regulation, social support), and psychiatric symptoms (depressive symptoms, anxiety symptoms, sleep disturbances, aggression). After accounting for age, sex, and exposure to early life adversity, higher reported COVID-19 impact was associated with more depressive symptoms, b = 6.37 (SE = 1.67), 95% CI [3.08, 9.66], p < 0.001, more anxiety symptoms, b = 9.97 (SE = 1.63), 95% CI [6.75, 13.18], p < 0.001, and more sleep disturbances, b = 1.24 (SE = 0.34), 95% CI [0.57, 1.91], p < 0.001. Youth that reported infrequent expressive suppression and the lowest scores on giving social support were at the greatest risk for aggressive behavior in the context of high COVID-19 impact, ps < 0.007. Increasing emotion regulation skills, such as expressive suppression, and opportunities to give social support may promote resilience among high risk youth in the context of this ongoing community stressor.

Coping strategies and anxiety in young breast cancer survivors.

PURPOSE: We sought to describe coping strategies reported by young breast cancer survivors and evaluate the relationship between utilization of specific coping strategies and anxiety in survivorship. METHODS: Participants enrolled in The Young Women's Breast Cancer Study, a multi-center, cohort of women diagnosed with breast cancer at age ≤ 40 years, completed surveys that assessed demographics, coping strategies (reported at 6-month post-enrollment and 18-month post-diagnosis), and anxiety (2 years post-diagnosis). We used univariable and multivariable logistic regression to examine the relationship between coping strategies and anxiety. RESULTS: A total of 833 women with stage 0-3 breast cancer were included in the analysis; median age at diagnosis was 37 (range: 17-40) years. Social supports were the most commonly reported coping strategies, with the majority reporting moderate or greater use of emotional support from a partner (90%), parents (78%), other family (79%), and reliance on friends (88%) at both 6 and 18 months. In multivariable analyses, those with moderate or greater reliance on emotional support from other family (odds ratio (OR): 0.37, 95% confidence ratio (CI): 0.22-0.63) at 18 months were less likely to have anxiety at 2 years, while those with moderate or greater reliance on alcohol/drug use (OR: 1.83, 95%CI: 1.12-3.00) and taking care of others (OR: 1.90, 95%CI: 1.04-3.45) to cope were more likely to have anxiety. CONCLUSION: Young breast cancer survivors rely heavily on support from family and friends. Our findings underscore the importance of considering patients' social networks when developing interventions targeting coping in survivorship. CLINICAL TRIAL REGISTRATION NUMBER: NCT01468246 (first posted November 9, 2011).

Nurses' use of social media during the COVID-19 pandemic-A scoping review.

BACKGROUND: During the COVID-19 pandemic, nurses stand in an unknown situation while facing continuous news feeds. Social media is a ubiquitous tool to gain and share reliable knowledge and experiences regarding COVID-19. The article aims to explore how nurses use social media in relation to the COVID-19 pandemic. METHOD: A scoping review inspired by Arksey and O'Mally was conducted by searches in Medline, CINAHL, Academic Search Complete and Web of Sciences. Empirical research studies investigating nurses' use of social media in relation to COVID-19 were included. Exclusion criteria were: Literature reviews, articles in languages other than English, articles about E-health, and articles investigating healthcare professionals without specification of nurses included. Articles, published in January-November 2020, were included and analysed through a thematic analysis. The PRISMA-ScR checklist was used. RESULTS: Most of the eleven included studies were cross-sectional surveys, conducted in developing countries, and had neither social media nor nurses as their main focus of interest. Three themes were identified: 'Social media as a knowledge node', 'Social media functioned as profession-promoting channels' and 'Social media as a disciplinary tool'. Nurses used social media as channels to gain and share information about COVID-19, and to support each other by highlighting the need for training and changes in delivery of care and redeployment. Further, social media functioned as profession-promoting channels partly sharing heroic self-representations and acknowledgment of frontline persons in the pandemic, partly by displaying critical working conditions. Finally, nurses used social media to educate people to perform the 'right 'COVID-19' behaviours in society. CONCLUSION: This review provided snapshots of nurses' uses of social media from various regions in the world, but revealed a need for studies from further countries and continents. The study calls for further multi-methodological and in depth qualitative research, including theoretically framed studies, with a specific focus on the uses of social media among nurses during the pandemic.

Can social support buffer the association between loneliness and hypertension? a cross-sectional study in rural China.

OBJECTIVES: Hypertension has reached epidemic levels in rural China, where loneliness has been a major problem among community dwellers as a consequence of rural-to-urban migration among younger generations. The objective of the study is to investigate the association between loneliness and hypertension, and whether social support can buffer the association (i.e., stress buffering theory), using cross-sectional data from 765 adults (mean age: 59.1 years) in rural Fujian, China. METHODS: Social support was measured as the reciprocal instrumental social support from/to neighbors and the reciprocal emotional support (i.e., the number of close friends that the respondent could turn to for help immediately when they are in trouble). A mixed-effect Poisson regression model with a robust variance estimator was used to investigate the association between loneliness, social support, and hypertension. RESULTS: Analysis revealed that those who were lonely had a higher prevalence ratio for hypertension (prevalence ratio = 1.12, 95% confidence interval 0.99-1.26) compared to those who reported not being lonely. There was an interaction between social support and loneliness in relation to hypertension. Specifically, contrary to the stress buffering theory, the positive association between loneliness and hypertension was more pronounced among those who reported higher social support compared to those who reported lower support (p for interaction <0.001 for instrumental support). CONCLUSION: The results suggest that being lonely despite high levels of social support poses the greatest risk for hypertension. This study did not confirm a buffering effect of social support on the association between loneliness and hypertension.

Intergenerational support and depressive symptoms among older adults in rural China: the moderating roles of age, living alone, and chronic diseases.

BACKGROUND: While depressive symptoms are recognized as major mental health problems in later life, there is a lack of study in examining potential moderators in the association between intergenerational support and depressive symptoms, especially in social contexts with low socioeconomic status and inadequate formal public support. This study set out to examine the association between intergenerational support and depressive symptoms among older adults in rural Northeast China, and the potential moderating roles of age, living alone, and number of chronic diseases on this link. METHODS: A quota sampling approach was used to recruit 448 respondents aged 60 and above from rural Chinese communities. Depressive symptoms were the dependent variable. Intergenerational emotional, instrumental, and financial support were the main independent variables. Age, living alone, and number of chronic diseases were the moderators. Multiple linear regression models with interaction terms were conducted to test the proposed model. RESULTS: The results showed that intergenerational emotional support was significantly associated with depressive symptoms in older adults when instrumental and financial support and covariates were controlled (ß = -0.196, p < .001). Age was found to have a significant moderating effect on the relationship between intergenerational instrumental support and depressive symptoms (ß = -0.118, p < .05). Among older respondents aged 74.51 years and older, instrumental support was positively associated with depressive symptoms, but this association was not significant for younger respondents. Furthermore, living alone and number of chronic diseases suffered moderated the association between intergenerational financial support and depressive symptoms, which was statistically significant only for those living alone and with more chronic diseases (interaction term between living alone and intergenerational financial support: ß = -0.082, p < .05; interaction term between number of chronic diseases and intergenerational financial support: ß = -0.088, p < .05. CONCLUSIONS: The findings not only highlight the important role of intergenerational support in promoting mental health in later life in rural Chinese contexts, but also identify within-population heterogeneity in the identified associations. Policy and intervention implications are discussed.

Inequality in Social Support Associated With Mild Cognitive Impairment: A Cross-Sectional Study of Older (≥60 Years) Residents in Shanghai, China.

Objective: Social support plays a critical role in the detection and management of mild cognitive impairment (MCI). However, socioeconomic inequalities exist in both social support and health care services. Our study aimed to compare the level of social support received by MCI patients in comparison with those without MCI and to determine its link with income. Methods: Secondary data analyses were performed. Social support was measured using the Duke Social Support Index (DSSI) and satisfaction ratings. Multivariate logistic regression models were constructed to determine the associations of personal income and MCI with social support after adjustment for variations in the sociodemographic and health characteristics of the respondents. The multiplicative and additive interaction effects of income and MCI were further examined through introducing the MCI*Income variable to the regression models and using the relative excess risk due to interaction (RERI) analysis, respectively. Results: The logistic regression models showed that the respondents with MCI had significantly lower social support as measured by the DSSI scores (AOR = 33.03, p < 0.001) and satisfaction ratings (AOR = 7.48, p < 0.001) compared with those without MCI. Similarly, social support decreased with lower personal income (p < 0.001). There existed a significant multiplicative interaction effect between personal income and MCI on social support (AOR = 0.30-0.32, p < 0.01). The gap in social support between those with and without MCI was higher in the higher income group compared with the lower income group (p < 0.001). No significant additive interaction effects on social support were found between MCI and income. Conclusions: There are significant disparities in social support between people living with and without MCI. Such a gap is more profound in people with higher income. The inequality in social support associated with MCI may present a significant challenge to the successful implementation of community MCI detection and management.

Healthcare providers' perceived support from their organization is associated with lower burnout and anxiety amid the COVID-19 pandemic.

BACKGROUND: Professional burnout represents a significant threat to the American healthcare system. Organizational and individual factors may increase healthcare providers' susceptibility or resistance to burnout. We hypothesized that during the COVID-19 pandemic, 1) higher levels of perceived organizational support (POS) are associated with lower risk for burnout and anxiety, and 2) anxiety mediates the association between POS and burnout. METHODS: In this longitudinal prospective study, we surveyed healthcare providers employed full-time at a large, multihospital healthcare system monthly over 6 months (April to November 2020). Participants were randomized using a 1:1 allocation stratified by provider type, gender, and academic hospital status to receive one of two versions of the survey instrument formulated with different ordering of the measures to minimize response bias due to context effects. The exposure of interest was POS measured using the validated 8-item Survey of POS (SPOS) scale. Primary outcomes of interest were anxiety and risk for burnout as measured by the validated 10-item Burnout scale from the Professional Quality (Pro-QOL) instrument and 4-item Emotional Distress-Anxiety short form of the Patient Reported Outcome Measurement Information System (PROMIS) scale, respectively. Linear mixed models evaluated the associations between POS and both burnout and anxiety. A mediation analysis evaluated whether anxiety mediated the POS-burnout association. RESULTS: Of the 538 participants recruited, 402 (75%) were included in the primary analysis. 55% of participants were physicians, 73% 25-44 years of age, 73% female, 83% White, and 44% had ≥1 dependent. Higher POS was significantly associated with a lower risk for burnout (-0.23; 95% CI -0.26, -0.21; p<0.001) and lower degree of anxiety (-0.07; 95% CI -0.09, -0.06; p = 0.010). Anxiety mediated the associated between POS and burnout (direct effect -0.17; 95% CI -0.21, -0.13; p<0.001; total effect -0.23; 95% CI -0.28, -0.19; p<0.001). CONCLUSION: During a health crisis, increasing the organizational support perceived by healthcare employees may reduce the risk for burnout through a reduction in anxiety. Improving the relationship between healthcare organizations and the individuals they employ may reduce detrimental effects of psychological distress among healthcare providers and ultimately improve patient care.

Unsupervised clustering analysis of data from an online community to identify lupus patient profiles with regards to treatment preferences.

OBJECTIVE: Lupus is a chronic complex autoimmune disease. Non-adherence to treatment can affect patient outcomes. Considering patients' preferences into medical decisions may increase acceptance to their medication. The PREFERLUP study used unsupervised clustering analysis to identify profiles of patients with similar treatment preferences in an online community of French lupus patients. METHODS: An online survey was conducted in adult lupus patients from the Carenity community between August 2018 and April 2019. Multiple Correspondence Analysis (MCA) was used with three unsupervised clustering methods (hierarchical, kmeans and partitioning around medoids). Several indicators (measure of connectivity, Dunn index and Silhouette width) were used to select the best clustering algorithm and choose the number of clusters. RESULTS: The 268 participants were mostly female (96%), with a mean age of 44.3 years 83% fulfilled the American College of Rheumatology (ACR) self-reported diagnostic criteria for systemic lupus erythematosus. Overall, the preferred route of administration was oral (62%) and the most important feature of an ideal drug was a low risk of side-effects (32%). Hierarchical clustering identified three clusters. Cluster 1 (59%) comprised patients with few comorbidities and a poor ability to identify oncoming flares; 84% of these patients desired oral treatments with limited side-effects. Cluster 2 (13%) comprised younger patients, who had already participated in a clinical trial, were willing to use implants and valued the compatibility of treatments with pregnancy. Cluster 3 (28%) comprised patients with a longer lupus duration, poorer control of the disease and more comorbidities; these patients mainly valued implants and injections and expected a reduction of corticosteroid intake. CONCLUSIONS: Different profiles of lupus patients were identified according to their drug preferences. These clusters could help physicians tailor their therapeutic proposals to take into account individual patient preferences, which could have a positive impact on treatment acceptance and then adherence. The study highlights the value of data acquired directly from patient communities.

Association of self-rated health with chronic disease, mental health symptom and social relationship in older people.

Chronic disease, mental health symptoms and poor social relations are reported common causes for poor self-rated health in older people. To assess the co-occurrence rate of chronic diseases, poor mental health and poor social relationships in older people, and determine their association with self-rated health. 6,551 older people in Zhongshan, China, participated a large health surveillance program were randomly selected and questioned about their SRH, chronic conditions, mental health symptoms and social relationships. The association between self-rated health and chronic conditions, poor mental health, social relationships, and their co-occurrence were analyzed. 56.4% of participants reported poor self-rated health. 39.1% experienced at least one chronic disease. 29.0% experienced one or more mental health symptoms; 19.5% experienced at least one poor social relationship. 7.8% had co-occurrence of chronic diseases, mental health problems, and poor social relationships. Logistic regressions showed that poor self-rated health was associated with chronic diseases, poor mental health, poor social relationships and their co-occurrence. The findings indicate the importance of managing chronic disease, poor mental health and poor social relationships for older people.

Domestic Mass Shooters: The Association With Unmedicated and Untreated Psychiatric Illness.

BACKGROUND: Given the relative lack of psychiatric information and data on the perpetrators of US mass shootings, the aim of our study was to understand who these "mass shooters" were and whether they had a psychiatric illness. If so, were they competently diagnosed, and if so, were they treated with appropriate medication for their diagnoses before the violence? METHODS: Because a prospective study of diagnosis and treatment could not, for obvious reasons, be carried out, we designed a retrospective, observational study of mass shooters, defined as those who killed 4 or more people with firearms between 1982 and 2012 or who killed 3 or more people with firearms between 2013 and 2019 in the United States. We used the Mother Jones database-a database of 115 persons identified as committing a mass shooting in the United States between January 1982 and September 2019. In the vast majority of the incidents identified in the database, the perpetrator died either during or shortly after the crime, leaving little reliable information about their history-especially psychiatric history. We focused on the 35 mass shooters who survived and for which legal proceedings were instituted because these cases presented the most reliable psychiatric information. For each of these 35 mass shootings, we interviewed forensic psychiatrists and forensic psychologists who examined the perpetrator after the crime and/or collected the testimony and reports by psychiatrist(s) at trial or in the postconviction proceedings contained in the court record. In addition, we reviewed available information from the court proceedings, public records, a videotaped interview of assailant by law enforcement, social media postings of the assailant, and writings of the assailant. After collecting the clinical information from multiple sources on each case to make a Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, diagnosis, we also completed a Sheehan Diagnostic Scale. After this, 20 additional cases where the assailant died at the crime were randomly selected form the remaining 80, to determine whether there were differences in psychiatric diagnoses and treatment between such assailants and those who survived. RESULTS: Twenty-eight of 35 cases in which the assailant survived had a psychiatric diagnosis-18 with schizophrenia, 3 with bipolar I disorders, 2 with delusional disorders, persecutory type, 2 with personality disorders (1 paranoid and 1 borderline), 2 with substance-related disorders without other psychiatric diagnoses, and 1 with posttraumatic stress disorder. Four had no psychiatric diagnosis, and in 3, we did not have enough information to make a diagnosis.Of 15 of 20 cases in which the assailant died, 8 had schizophrenia. None of those diagnosed with psychiatric illnesses were treated with medication. CONCLUSIONS: A significant proportion of mass shooters experienced unmedicated and untreated psychiatric disorder.

Social support and hippocampal volume are negatively associated in adults with previous experience of childhood maltreatment.

Background: Childhood maltreatment has been associated with reduced hippocampal volume in healthy individuals, whereas social support, a protective factor, has been positively associated with hippocampal volumes. In this study, we investigated how social support is associated with hippocampal volume in healthy people with previous experience of childhood maltreatment. Methods: We separated a sample of 446 healthy participants into 2 groups using the Childhood Trauma Questionnaire: 265 people without maltreatment and 181 people with maltreatment. We measured perceived social support using a short version of the Social Support Questionnaire. We examined hippocampal volume using automated segmentation (Freesurfer). We conducted a social support × group analysis of covariance on hippocampal volumes controlling for age, sex, total intracranial volume, site and verbal intelligence. Results: Our analysis revealed significantly lower left hippocampal volume in people with maltreatment (left F1,432 = 5.686, p = 0.018; right F1,433 = 3.371, p = 0.07), but no main effect of social support emerged. However, we did find a significant social support × group interaction for left hippocampal volume (left F1,432 = 5.712, p = 0.017; right F1,433 = 3.480, p = 0.06). In people without maltreatment, we observed a trend toward a positive association between social support and hippocampal volume. In contrast, social support was negatively associated with hippocampal volume in people with maltreatment. Limitations: Because of the correlative nature of our study, we could not infer causal relationships between social support, maltreatment and hippocampal volume. Conclusion: Our results point to a complex dynamic between environmental risk, protective factors and brain structure - in line with previous evidence - suggesting a detrimental effect of maltreatment on hippocampal development.

Developing mental health nursing strategies for the inbound quarantined population in China during the COVID-19 global pandemic.

OBJECTIVE: The aim of the study was to develop mental health nursing strategies for the inbound quarantined population based on the results of a survey study and frontline nursing experiences. SUBJECTS AND METHODS: A mixed research method was selected, we collected data by questionnaires from 128 quarantined people, and by semi-structured interviews from 5 registered nurses. Generalized anxiety disorder-7 (GAD-7), the patient health questionnaire-9 (PHQ-9), the Pittsburgh Sleep Quality Index (PSQI), Social Support Rating Scale (SSRS) were used in the quantitative research to identify the prevalence of psychological issues and risk factors. Semi-structured interviews were conducted in the qualitative study to conclude nursing experiences from RNs. RESULTS: The overall prevalence of anxiety, depression, and insomnia were 34%, 41%, and 18% respectively. Binary logistic regression analysis showed that social support, urban residence, and chronic disease were associated with mental health problems in certain aspects. Three themes were emerged from the analysis of RNs interviews: personality, chronic diseases, and social support. CONCLUSIONS: The prevalence of mental health issues in the inbound quarantined population was the same as the general population in the initial stage of COVID-19 outbreak, and significantly lower than people who lived in high-risk areas. Living in urban areas, with chronic diseases, and obtaining less social support are the risk factors. Finally, four nursing strategies were proposed by the research team for mental health well-being.

Effects of health beliefs, social support, and self-efficacy on sun protection behaviors among medical students: testing of an extended health belief model.

Sun protection behaviors (SPB) are important modifiable risk factors for skin cancer. As the most common malignancies in the world, skin cancers account for significant morbidity, mortality, and economic burden. Physicians play a key role in educating patients about proper SPB. Medical education provides the foundation for physician understanding of SPB and future patient education. The Health Belief Model (HBM) is a theoretical model that offers constructs to help explain health behaviors. This cross-sectional study examined a convenience sample of 186 medical student to assess their engagement in SPB through the lens of the 6 HBM constructs and social support. Overall, we found engagement in SPB among our cohort to be low. About 70.4% report never using wide-brimmed hats and only 44.6% often or always use sunscreen. Hierarchical multiple regressions were performed in three blocks to analyze the relationship between the independent variables (HBM constructs and social support) and dependent variable (SPB) after controlling for the influence of demographic covariates. In our health constructs model, beliefs about susceptibility, benefits minus barriers, and self-efficacy were found to be significant predictors of engaging in SPB. Addition of social support in the final model did not significantly improve prediction of SPB engagement. These findings support use of educational programs based on HBM for the improvement of SPB among medical students.