The impact of loneliness and social adaptation on depressive symptoms: Behavioral and brain measures evidence from a brain health perspective

The role of social support in the relation between chronotype and mental health in a cohort of women from the American Heart Association Go Red for Women Strategically Focused Research Network

Women are disproportionally affected by psychological distress and lack of social support and are more vulnerable to the negative impact of chronotype on mental health. This study evaluates cross-sectional associations between chronotype and mental health, while assessing the mediating role of social support among women from diverse racial/ethnic backgrounds. Women from the American Heart Association Go Red for Women Research Network were included (N = 506, mean age = 37 ± 15.7, 61% racial/ethnic minority). Chronotype, depression, perceived stress, health-related quality of life, and social support were assessed at baseline using validated self-reported questionnaires. Linear regression and causal mediation analyses were performed. Depression and negative emotionality were higher among women with evening vs. morning/intermediate chronotypes (all p < 0.05). Multivariable analyses adjusted for sociodemographic and clinical confounders showed associations between evening chronotype and higher depression (p = 0.004) and negative emotionality (p = 0.010). However, these associations were no longer significant after adjusting for social support (depression: p = 0.12; negative emotionality: p = 0.18). Social support significantly mediated 44.6% and 45.8% of the total effect of chronotype on depression and negative emotionality, respectively. Social support represents a potential mechanism underlying the associations between eveningness and poor mental health. Chronotype and social support should be considered in interventions for the promotion of mental health in women.

Psychosocial Evaluation of Adults with Primary Immunodeficiency

PURPOSE

Primary immunodeficiency disorder (PID) is a heterogeneous group of diseases characterized by immune dysregulation and increased susceptibility to infections, with various cognitive, emotional, behavioral, and social effects on patients. This study aimed to evaluate loneliness, social adaptation, anxiety, and depression and to identify associated factors in adults with immunodeficiency.

METHODS

A cross-sectional study in Turkey (Feb-Aug 2022) obtained sociodemographic data from patient records. The Social Adaptation Self-Evaluation Scale (SASS), UCLA-Loneliness Scale (UCLA-LS), and Hospital Anxiety and Depression Scale (HADS) were administered in individual patient interviews. HADS-Anxiety (HADS-A) and HADS-Depression (HADS-D) scores were assessed using cut-offs of 10 and 7, respectively; SASS cut-offs for social imbalance and normalcy were < 25 and > 35, respectively.

RESULTS

A total of 104 patients (60 women, 44 men) with a median age of 34 years (range: 18-89) were included in the study. Mean scores were SASS: 34.46 ± 8.11, UCLA-LS: 44.89 ± 12.66, HADS-A: 9.87 ± 4.77, and HADS-D: 9.12 ± 4.80. SASS score was negatively correlated with HADS-A, HADS-D, and UCLA-LS scores. There were positive correlations between UCLA-LS and HADS-A (r = -0.355, p < 0.01) and HADS-D (r = -0.614, p < 0.01) and between HADS-A and HADS-D (r = -0.454, p < 0.01). Low-income level was associated with higher HADS-A, HADS-D, and UCLA-LS scores and lower SASS score (p = 0.012, p = 0.041, p = 0.008, and p = 0.001, respectively).

CONCLUSION

Adults with PID are at risk for depression and experience high levels of loneliness. Social maladjustment and loneliness contribute to anxiety and depression, and loneliness is correlated with impaired social functioning. These findings emphasize the importance of biopsychosocial evaluation of individuals diagnosed with PID.

The neurocognitive impact of loneliness and social networks on social adaptation

Social adaptation arises from the interaction between the individual and the social environment. However, little empirical evidence exists regarding the relationship between social contact and social adaptation. We propose that loneliness and social networks are key factors explaining social adaptation. Sixty-four healthy subjects with no history of psychiatric conditions participated in this study. All participants completed self-report questionnaires about loneliness, social network, and social adaptation. On a separate day, subjects underwent a resting state fMRI recording session. A hierarchical regression model on self-report data revealed that loneliness and social network were negatively and positively associated with social adaptation. Functional connectivity (FC) analysis showed that loneliness was associated with decreased FC between the fronto-amygdalar and fronto-parietal regions. In contrast, the social network was positively associated with FC between the fronto-temporo-parietal network. Finally, an integrative path model examined the combined effects of behavioral and brain predictors of social adaptation. The model revealed that social networks mediated the effects of loneliness on social adaptation. Further, loneliness-related abnormal brain FC (previously shown to be associated with difficulties in cognitive control, emotion regulation, and sociocognitive processes) emerged as the strongest predictor of poor social adaptation. Findings offer insights into the brain indicators of social adaptation and highlight the role of social networks as a buffer against the maladaptive effects of loneliness. These findings can inform interventions aimed at minimizing loneliness and promoting social adaptation and are especially relevant due to the high prevalence of loneliness around the globe. These findings also serve the study of social adaptation since they provide potential neurocognitive factors that could influence social adaptation.