Bridge connection between depression and anxiety symptoms and lifestyles in Chinese residents from a network perspective.

Background: Lifestyle habits are vital components of the culture of mental health treatment settings. We examined the bridge connection between depressive and anxiety symptoms and lifestyles from a network perspective using a population-based study. Methods: Face-to-face interviews were conducted with a provincially representative sample of 13,768 inhabitants from the Guangdong Sleep and Psychosomatic Health Survey based on standardized evaluation techniques. We identified the central symptoms by expected influence. The interconnection between depression and anxiety symptoms, as well as the bridge connectivity linking depression-anxiety symptoms and lifestyle factors, were assessed using the bridge centrality index. Network stability and sensibility analyses were performed using a case-dropping bootstrap procedure. Results: The core symptom that exhibited the highest expected influence was fatigue or little energy, followed by uncontrollable worry, trouble relaxing, and sad mood in the depression-anxiety symptoms network, while guilt was the most interconnected symptom and had the highest bridge strength. Surrounding nodes of each node explained an average variance of 57.63%. Additionally, suicidal thoughts were recognized as collective bridging symptoms connecting lifestyle variables in the network integrating depression-anxiety symptoms with lifestyle factors. Current tobacco and alcohol consumption were positively associated with suicidal thoughts and irritability. Habitual diet rhythm and physical exercise frequency were linked to suicidal thoughts, guilt, and poor appetite or overeating. Suicidal thoughts, irritability, and guilt indicated the greatest connectivity with lifestyle factors. All networks had high stability and accuracy. Conclusion: These highlighted core and bridge symptoms could serve as latent targets for the prevention and intervention of comorbid depression and anxiety. It might be crucial for clinical practitioners to design effective and targeted treatment and prevention strategies aiming at specific lifestyles and behaviors.

Prevalence and correlates of depressive and anxiety symptoms among adults in Guangdong Province of China: A population-based study.

AIMS: To examine the prevalence and health correlates of depressive and anxiety symptoms among adults living in Guangdong province of China with a large population and rapid urbanization. METHODS: The Guangdong Sleep and Psychosomatic Health Survey was conducted from September to November in 2019, which was a population-based study with a representative sample of adults aged 18-85 years. Multistage stratified cluster sampling was used. A total of 13,768 inhabitants were included and face-to-face interviewed using standardized assessment tools. Depressive and anxiety symptoms were evaluated using the Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder Scale (GAD-7), respectively. RESULTS: The weighted prevalence rates of depressive and anxiety symptoms were 8.6% (95% confidence interval [CI]: 8.0%-9.3%) and 6.0% (95%CI, 5.4%-6.5%) respectively. People who have never married, irregular diet rhythm, hardly exercise, poorer sleep, alcohol consumption, chronic diseases and being unemployment and retirement were more likely to suffer depressive and anxiety symptoms. Moreover, the prevalence of depressive symptoms was significantly higher in those suffering from cardiovascular disease (Odds ratio[OR]:3.89, 95%CI: 1.77-8.54), chronic nephrosis (OR:3.89, 95%CI: 1.52-9.94), hyperlipidemia (OR:2.68, 95%CI: 1.57-4.59), anemia (OR:1.96, 95%CI: 1.33-2.89) and arthritis (OR:1.93, 95%CI: 1.17-3.16). The prevalence of anxiety symptoms was evidently greater within patients with cardiovascular disease (OR:3.15, 95%CI: 1.39-7.14), chronic nephrosis (OR: 2.89, 95%CI: 1.22-6.83), hyperlipidemia (OR:2.27, 95%CI: 1.20-4.29) and diabetes (OR:1.99, 95%CI: 1.15-3.44). CONCLUSIONS: Depressive and anxiety symptoms are commonly found in patients with chronic diseases. Given these adverse outcomes on health, health professionals should pay more attention to depressive and anxiety problems in health care for high-risk population.

Abnormalities of cortical-limbic-cerebellar white matter networks may contribute to treatment-resistant depression: a diffusion tensor imaging study.

BACKGROUND: White matter abnormalities can cause network dysfunction that underlies major depressive disorder (MDD). Diffusion tensor imaging (DTI) is used to examine the neural connectivity and integrity of the white matter. Previous studies have implicated frontolimbic neural networks in the pathophysiology of MDD. Approximately 30% of MDD patients demonstrate treatment-resistant depression (TRD). However, the neurobiology of TRD remains unclear. METHODS: We used a voxel-based analysis method to analyze DTI data in young patients with TRD (n = 30; 19 males, 11 females) compared with right-handed, age- and sex-matched healthy volunteers (n = 25; 14 males, 11 females). RESULTS: We found a significant decrease in fractional anisotropy (FA) (corrected, cluster size >50) in the left middle frontal gyrus (peak coordinates [-18 46-14]), left limbic lobe uncus (peak coordinates [-18 2-22]), and right cerebellum posterior lobe (peak coordinates [26-34 -40]). There was no increase in FA in any brain region in patients. We also found a significant negative correlation between mean regional FA values in the three areas and Beck Depression Inventory symptom scores. CONCLUSIONS: We found significant differences in white matter FA in the frontal lobe, limbic lobe and cerebellum between TRD patients and controls. These data suggest that abnormalities of cortical-limbic-cerebellar white matter networks may contribute to TRD in young patients.

Increased regional homogeneity in internet addiction disorder: a resting state functional magnetic resonance imaging study.

BACKGROUND: Internet addition disorder (IAD) is currently becoming a serious mental health problem among Chinese adolescents. The pathogenesis of IAD, however, remains unclear. The purpose of this study applied regional homogeneity (ReHo) method to analyze encephalic functional characteristic of IAD college students under resting state. METHODS: Functional magnetic resonanc image (fMRI) was performed in 19 IAD college students and 19 controls under resting state. ReHo method was used to analyze the differences between the average ReHo in two groups. RESULTS: The following increased ReHo brain regions were found in IAD group compared with control group: cerebellum, brainstem, right cingulate gyrus, bilateral parahippocampus, right frontal lobe (rectal gyrus, inferior frontal gyrus and middle frontal gyrus), left superior frontal gyrus, left precuneus, right postcentral gyrus, right middle occipital gyrus, right inferior temporal gyrus, left superior temporal gyrus and middle temporal gyrus. The decreased ReHo brain regions were not found in the IAD group compared with the control group. CONCLUSIONS: There are abnormalities in regional homogeneity in IAD college students compared with the controls and enhancement of synchronization in most encephalic regions can be found. The results reflect the functional change of brain in IAD college students. The connections between the enhancement of synchronization among cerebellum, brainstem, limbic lobe, frontal lobe and apical lobe may be relative to reward pathways.