The role of anxiety and depression in the relationship between physical activity and sleep quality: A serial multiple mediation model

Self-rated health and health-related quality of life among cancer patients: the serial multiple mediation of anxiety and depression

BACKGROUND

Health-related quality of life (HRQOL) in cancer patients has attracted increasing attention, which may be associated with self-rated health (SRH), anxiety, and depression. However, limited studies have focused on the mediating role of anxiety and depression in the relationship between SRH and HRQOL among cancer patients. Therefore, this study aims to explore the serial multiple mediating effects of anxiety and depression between SRH and HRQOL in cancer patients.

METHODS

This cross-sectional study investigated a total of 565 hospitalized cancer patients in Anhui province in China from November 2020 to October 2021. SRH was assessed using a single-item measure, anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS) and HRQOL was assessed using the EuroQol-5 Dimension (EQ-5D, three-level version). Socio-demographic and clinical characteristics were analyzed using descriptive statistics. The relationships between SRH, anxiety, depression, and HRQOL were evaluated by Pearson correlation analysis. The serial multiple mediation of anxiety and depression was assessed by SPSS PROCESS macro.

RESULTS

SRH, anxiety, depression and HRQOL were significantly correlated(P < 0.001). In comparison to the fair SRH, the good SRH exhibited a significantly positive direct effect (Effect = 0.2366, Bootstrap 95%CI: 0.0642 ~ 0.4090) and total effect on HRQOL (Effect = 0.4761, Bootstrap 95%CI: 0.2975 ~ 0.6546). Conversely, the poor SRH demonstrated a significantly negative total effect on HRQOL (Effect= -0.4321, Bootstrap 95%CI: -0.7544~ -0.1099). When considering the fair SRH as the reference group, the poor SRH displayed a negative indirect effect on HRQOL through the single mediation of anxiety (Effect= -0.1058, Bootstrap 95%CI: -0.2217~ -0.0107) and the serial mediation of anxiety and depression (Effect= -0.0528, Bootstrap 95%CI: -0.1233~ -0.0035). Conversely, the good SRH had a positive indirect impact on HRQOL through the single mediation of anxiety (Effect = 0.1153, Bootstrap 95%CI: 0.0583 ~ 0.1900) and depression (Effect = 0.0667, Bootstrap 95%CI: 0.0206 ~ 0.1234), as well as the serial mediation of anxiety and depression (Effect = 0.0575, Bootstrap 95%CI: 0.0192 ~ 0.1030).

CONCLUSION

SRH can improve HRQOL through the decrease of anxiety and depression in cancer patients. Focusing on SRH would be beneficial for their mental health and HRQOL in cancer patients.

Mapping of the network connection between sleep quality symptoms, depression, generalized anxiety, and burnout in the general population of Peru and El Salvador

BACKGROUND

A meta-analysis of randomized controlled trials has suggested a bidirectional relationship between sleep problems and mental health issues. Despite these findings, there is limited conclusive evidence on the relationship between sleep quality, depression, anxiety, and burnout.

OBJECTIVE

The current study aimed to evaluate the relationships between sleep quality symptoms, anxiety, depression, and burnout in samples of adult individuals from two Latin American countries, Peru and El Salvador, through network analysis and to identify key symptoms that reinforce the correlation and intensify the syndromes.

METHODS

A total of 1012 individuals from El Salvador and Peru participated, with an average age of 26.5 years (SD = 9.1). Symptom networks were constructed for both countries based on data from the Jenkins Sleep Scale, Patient Health Questionnaire-2, General Anxiety Disorder-2, and a single burnout item.

RESULTS

The results indicated that Depressed Mood, Difficulty Falling Asleep, and Nervousness were the most central symptoms in a network in the participating countries. The strongest conditional associations were found between symptoms belonging to the same construct, which were similar in both countries. Thus, there is a relationship between Nervousness and Uncontrollable Worry, Anhedonia and Depressed Mood, and Nighttime Awakenings and Difficulty in Staying Asleep. It was observed that burnout is a bridge symptom between both countries and presents stronger conditional associations with Tiredness on Awakening, Depressed Mood, and Uncontrollable Worry. Other bridge symptoms include a Depressed Mood and Nervousness. The network structure did not differ between the participants from Peru and El Salvador.

CONCLUSION

The networks formed by sleep quality, anxiety, depression, and burnout symptoms play a prominent role in the comorbidity of mental health problems among the general populations of Peru and El Salvador. The symptom-based analytical approach highlights the different diagnostic weights of these symptoms. Treatments or interventions should focus on identifying central and bridge symptoms.

Anxiety, Sleep Problems, and Vigorous Physical Activity: Bidirectional Associations from Early Adolescence to Early Adulthood in Swedish Adolescents

Anxiety symptoms and sleep problems typically emerge during adolescence and are frequently intertwined. However, there is a dearth of knowledge concerning their reciprocal influence and whether physical activity might play a protective role in this relationship. The present study aims at filling this gap exploring also the moderating role of sex. 915 13-year-old Swedish adolescents (56% girls) answered a survey conducted four times: at ages 13 (T1), 16 (T2), 19 (T3), and 22 (T4). A random intercept cross-lagged panel model was used. At within-levels, sleep problems and anxiety symptoms had a bidirectional positive association in middle adolescence. Vigorous physical activity and anxiety symptoms showed a reciprocal negative association from middle adolescence. Vigorous physical activity and sleep problems were reciprocally associated only in late adolescence. Associations were the same for girls and boys. This study demonstrated that the relations between anxiety symptoms, sleep problems, and vigorous physical activity cannot be understood without adopting a developmental perspective and that middle adolescence is a crucial period to plan interventions to reduce anxiety symptoms and sleep problems.

Physical Activity After Heart Surgery: Associations With Psychosocial and Sleep Factors

BACKGROUND

Heart surgery is an effective intervention for managing heart disease, the leading cause of death globally. After surgery, physical activity is key to improving patients' quality of life and decreasing mortality, but patients are frequently physically inactive after heart surgery.

OBJECTIVE

This cross-sectional pilot study aimed to examine how psychosocial and sleep factors influenced physical activity in patients after heart surgery. The mediating role of sleep factors between psychosocial factors and physical activity was also examined.

METHODS

Thirty-three patients who had undergone heart surgery were recruited. Psychosocial and sleep factors and physical activity were measured using an online survey and a wrist-worn ActiGraph for 7 days and nights.

RESULTS

The participants had heart surgery an average of about 7 years previously. They exceeded the recommended 150 minutes per week of moderate-intensity physical activity for Americans; however, 64% of them showed poor sleep quality (Pittsburgh Sleep Quality Index >5). Higher anxiety and depressive symptoms, lower self-efficacy, and greater sleep disturbances were associated with lower physical activity. Moreover, self-efficacy, sleep duration, sleep disturbance, sleep efficiency, and wake after sleep onset were predictors for physical activity. No mediating role of sleep factors was observed between psychosocial factors and physical activity.

CONCLUSIONS

Psychosocial and sleep factors should be considered when developing and implementing physical activity strategies for patients after heart surgery. Researchers should examine the relationships among the study variables with larger samples of postsurgical cardiac patients during different periods after heart surgery.

The Impact of Problematic Smartphone Use on Sleep Quality Among Chinese Young Adults: Investigating Anxiety and Depression as Mediators in a Three-Wave Longitudinal Study

Background

Sleep disorders are a significant health issue that urgently needs to be addressed among undergraduate students, and one of the potential underlying problems could be problematic smartphone use (PSU). This study aimed to clarify the relationship between PSU and poor sleep quality by investigating the independent and serial mediating roles of anxiety and depressive symptoms in a population of university students in Tibet, China.

Methods

A total of 2993 Tibetan college students completed three waves of data surveys, with all participants completing questionnaires on PSU, anxiety, depressive symptoms, and sleep quality (Time 1 (T1) -Time 3 (T3)). Bootstrapped mediation analysis was used to explore the mediating role of anxiety and depressive symptoms in the longitudinal relationship between PSU and sleep quality.

Results

Both direct and indirect effects of PSU on poor sleep quality were found. PSU (T1) can had not only a direct negative influence on poor sleep quality (T3) among young adults (direct effect = 0.021, 95% CI = 0.010-0.033) but also an indirect negative impact via three pathways: the independent mediating effect of anxiety symptoms (T2) (indirect effect 1 = 0.003, 95% CI = 0.001-0.006), the independent mediating effect of depressive symptoms (T2) (indirect effect 2 = 0.004, 95% CI = 0.002-0.006), and the serial mediating effects of anxiety (T2) and depressive symptoms (T2) (indirect effect 3 = 0.008, 95% CI=0.005-0.011).

Conclusion

These findings highlight the role of anxiety and depression symptoms as joint mediating factors in the relationship between PSU and sleep disturbances. Interventions focused on improving sleep that incorporate behavioural measures could benefit from treatment approaches targeting mental disorders.

Crime Risk and Depression Differentially Relate to Aspects of Sleep in Patients with Major Depression or Social Anxiety

Individuals with internalizing conditions such as depression or anxiety are at risk of sleep difficulties. Social-ecological models of sleep health propose factors at the individual (e.g., mental health) and neighborhood (e.g., crime risk) levels that contribute to sleep difficulties. However, these relationships have been under-researched in terms of internalizing conditions. Therefore, the current study comprised participants diagnosed with major depression (n = 24) or social anxiety (n = 35). Sleep measures included actigraphic variables (i.e., total sleep time, waking after sleep onset, sleep onset latency) and subjective sleep quality. Geocoding was used to assess nationally-normed crime risk exposure at the person level (e.g., murder, assault) and property level (e.g., robbery, burglary). Analyses consisted of independent t-tests to evaluate potential differences between diagnostic groups. To examine relationships, multiple regressions were used with internalizing symptoms, crime risk, and age as independent variables and sleep measures as the dependent variable. The t-test results revealed that groups differed in symptoms and age but not sleep or neighborhood crime. Regression results revealed crime risk positively corresponded with sleep onset latency but no other sleep measures. Also, only depression positively corresponded with total sleep time. Preliminary findings suggest exposure to crime and depression relate differentially to facets of sleep in individuals with internalizing conditions.

Construction of a resting EEG-based depression recognition model for college students and possible mechanisms of action of different types of exercise

OBJECTIVES

To investigate the method of resting EEG assessment of depressive symptoms in college students and to clarify the relationship between physical activity level and depressive symptoms in college students.

METHODS

Using a cross-sectional study design, 140 current full-time college students were recruited to complete the Self-Rating Depression Scale and the International Physical Activity Questionnaire, and 10-min resting EEGs were obtained.

RESULTS

1) The power values of δ and α2 in the central (C3, C4) and parietal (P3, P4) regions of depressed college students were significantly higher than those of normal college students. And the degree of lateralization of δ, θ, α1, and α2 in the prefrontal regions (F3, F4) of depressed college students was significantly higher than that of normal college students (all P < 0. 008). 2) The recall rate of the depression recognition model for college students based on resting EEG was 66.67%, the precision was 65.05%, and the AUCs of the training group and validation group were 0.791 and 0.786, respectively, with better detection effects. 3) The two indicators, δ (C3 + C4) and α1 (F4-F3), are significantly correlated with IPAQ scores, and among college students who engage in ball games most commonly, those with a higher level of physical activity have lower δ (C3 + C4) and higher α1 (F4-F3), while among those who engage in resistance training most commonly, higher levels of physical activity are associated with lower δ (C3 + C4).

CONCLUSION

The resting EEG of depressed college students has a certain specificity that can objectively assess the risk of developing depressive symptoms in college students. Physical activity is associated with abnormal EEG signals of depressive symptoms. Different types of physical activity may modulate the relationship between physical activity levels and EEG indicators.

Correlation of exercise participation, behavioral inhibition and activation systems, and depressive symptoms in college students

To clarify the pathways and effects of the behavioral inhibition and activation systems in the relationship between exercise participation and depressive symptoms among college students. A cross-sectional research design was employed to survey 2606 college students using physical activity questionnaires, the Behavioral Inhibition/Activation Systems Scale, and the Beck Depression Inventory. Data were analyzed using methods including one-way ANOVA, independent sample t-tests, non-parametric tests, chi-square tests, correlation analysis, and structural equation modeling. Depressive symptoms were significantly negatively correlated with exercise participation (r = - 0.107, P < 0.001), reward responsiveness (r = - 0.201, P < 0.001), drive (r = - 0.289, P < 0.001), and fun seeking (r = - 0.102, P < 0.001), and positively correlated with behavioral inhibition (r = 0.084, P < 0.001). Exercise participation was positively correlated with reward responsiveness (r = 0.067, P = 0.001), drive (r = 0.085, P < 0.001), and fun seeking (r = 0.063, P = 0.001). Exercise participation had a significant direct effect (B = - 0.079, 95% CI - 0.116 to - 0.043) and total effect (B = - 0.107, 95% CI - 0.148 to - 0.069) on depressive symptoms. The mediating effects of drive (B = - 0.028, 95% CI - 0.043 to - 0.016) and fun seeking (B = 0.005, 95% CI - 0.001 to 0.011) were significant. The more college students engage in exercise, the lower their depressive symptom scores. Drive and fun seeking mediate the relationship between college students' exercise participation and depressive symptoms. Encouraging exercise participation among college students and enhancing their sensitivity to behavioral activation strategies and reward information may have a significant role in preventing and alleviating depressive symptoms.

Assessment of sleep quality and its factors among clinicians working in critical care units and operation theaters at North West Ethiopia, 2022: a multicenter cross-sectional study

The quality of sleep has an effect on the health of clinicians and the quality of patient care. Maintaining cognitive function/mood, facilitation of glucose metabolism, and strengthening of the immune system are among the roles that adequate sleep may contribute. Poor sleep quality is multifactorial, and studies had shown inconsistencies in the factors that contribute to the development of this poor sleep quality. The prevalence of poor sleep quality among clinicians working in the critical care unit and operation theater in the study setting was not investigated yet.

OBJECTIVE

The objective of this study was conducted for the purpose of assessing the quality of sleep and associated factors among clinicians working in the critical care unit and operation theater.

METHODS

A cross-sectional study was conducted from 15 May to 15 June 2022. Data were collected using a self-administered questionnaire from 421 clinicians selected by simple random sampling techniques. Sleep quality was measured by the Pittsburg sleep quality index. The data were entered into Epi-data and exported to SPSS. Frequency and percentage were used for the descriptive analysis. Binary and multivariate logistic regression analysis were used to identify factors associated with poor quality of sleep. The strength of the association was measured with an OR within the 95% CI and P-value of <0.05.

RESULT

About half 220 (52.3%) of the study participants age between 25 and 30 year old and the majority 321 (76.2%) of them were males. The prevalence of poor sleeps quality was 81.5% (95% CI: 77.9-85.5). Working night shift (AOR: 3.37, 95% CI: 1.754-6.484), having depressive symptoms (AOR: 3.25, 95% CI: 1.485-7.147) and having no regular exercises (AOR: 0.299, 95% CI: 0.166-0.537) were predisposing factors for poor sleep quality.

CONCLUSION AND RECOMMENDATION

The prevalence of poor sleep quality among clinicians working in the ICU and operation room was high. Clinicians who had no regular exercise, who worked in night shift, and who had depressive symptoms were associated with poor quality of sleep. Clinicians should have an awareness on the symptoms of depression, implement sleep hygiene education programs and promoting regular exercise. The authors recommend healthcare policy makers for improving working schedules.

Gut microbiota: Candidates for a novel strategy for ameliorating sleep disorders

The aim of this review was to evaluate the feasibility of treating sleep disorders using novel gut microbiota intervention strategies. Multiple factors can cause sleep disorders, including an imbalance in the gut microbiota. Studies of the microbiome-gut-brain axis have revealed bidirectional communication between the central nervous system and gut microbes, providing a more comprehensive understanding of mood and behavioral regulatory patterns. Changes in the gut microbiota and its metabolites can stimulate the endocrine, nervous, and immune systems, which regulate the release of neurotransmitters and alter the activity of the central nervous system, ultimately leading to sleep disorders. Here, we review the main factors affecting sleep, discuss possible pathways and molecular mechanisms of the interaction between sleep and the gut microbiota, and compare common gut microbiota intervention strategies aimed at improving sleep physiology.

Canonical correlation analysis of depression and anxiety symptoms among college students and their relationship with physical activity

To explore the association between depression and anxiety symptoms among college students and the relationship between the two and physical activity. A cross-sectional study design was used to survey 1790 enrolled university students using the Depression Self-Rating Scale, Anxiety Self-Rating Scale and Physical Activity Rating Scale. 37.75% of male students and 39.73% of female students detected depressive symptoms, 17.65% of male students and 17.86% of female students detected anxiety symptoms, 11.89% of male students and 11.75% of female students detected both depressive and anxiety symptoms. Canonical correlation between depression and anxiety symptoms of college students were significant. The depression and anxiety score of college students in the high level group was significantly lower than that in the low and medium level groups, and no significant difference was found between the low and medium level groups. Affective disorder and anxious mood of male students correlated most closely with intensity, while somatic disorder, psychomotor disorder and depressive psychological disorder correlated most closely with duration. Affective disorder of female students correlated most closely with frequency, depressive psychological disorder and anxious mood correlated most closely with intensity, while premonition of misfortune and frequent urination correlated most closely with duration. Depression and anxiety symptoms of college students were closely related and co-occurrence was common. Students with high level of physical activity had milder symptoms. Different exercise interventions are recommended for different symptoms.

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.

Associations Between Workplace Violence and Mental Health Among Chinese Health Technicians: A Moderated Mediation Analysis of Sleep Quality and Physical Activity

Background

Workplace violence (WPV) had always been the focus of attention in all walks of lives, especially in the health fields. Previous studies had shown it adversely affected mental health for healthcare workers. In addition, both sleep quality and physical activity were supported to have impact on mental health. However, the mechanism of sleep quality and physical activity influence the association between WPV and mental health had not been explored, so the purpose of this paper was to explore this mechanistic link among workplace violence, sleep quality, physical activity, and mental health in Chinese health technicians.

Methods

Cross-sectional study was conducted in 3 cities of China, totally 3426 valid questionnaires were collected. WPV, physical activity, and social-demographic variables were evaluated. The Pittsburgh Sleep Quality Index and the Kessler Psychological Distress Scale were used to measure sleep quality and mental health. Descriptive analysis, univariate analysis, Pearson correlation, and moderated mediation analysis were used to estimate prevalence of WPV, association between WPV and mental health, and the role of sleep quality and physical activity on association between WPV and mental health.

Results

The prevalence of WPV was 52.2% among Chinese health technicians. After controlling social-demographic and work-related variables, sleep quality partially mediated the effect of WPV on mental health (indirect effect=0.829). Physical activity moderated the relationship between WPV and sleep quality (β=0.235, p=0.013), but not find the moderating role between WPV and mental health (β=0.140, p=0.474), and between sleep quality and mental health (β=0.018, p=0.550).

Conclusion

The rate of WPV among health technicians remained at an alarming level. Sleep quality and physical activity could mitigate the adverse effect of WPV on mental health. In the future, we could improve sleep quality and encourage health technicians to engage physical activity to decrease the negative effect of WPV on mental health.

The relationship between self-assessment living standard and mental health among the older in rural China: the mediating role of sleep quality

BACKGROUND AND OBJECTIVE

Mental health imbalance are the main cause of anxiety, depression and happiness reduction in the older. Self-assessment living standard and sleep quality are both influencing factors of mental health. Meantime, self-assessment living standard has an impact on sleep quality. But there's no research on the relationship between the three, we conducted this study to explore the relationship between self-assessment living standard and mental health and the mediating role of sleep quality among the older in rural areas of China.

METHODS

Using typical field sampling method, M County, Anhui Province was selected as the investigation site, and a total of 1223 respondents were selected. With the help of questionnaires enclosing respondents' sociodemographics information, 12 Items General Health Questionnaire (GHQ-12) and Pittsburgh Sleep Quality Scale (PSQI), face-to-face interviews were used to collect data. Bootstrap test was used for data analysis.

RESULTS

The results showed that the age of the respondents ranged from 60 to 99 years, with an average age of (66.53 ± 6.77) years, the proportion of the older with a tendency to mental health problems was 24.7%. Most of the older people's self-assessment living standard was normal (average score was 2.89 ± 0.726), accounting for 59.3% of the total. The average sleep quality score was (6.97 ± 4.066), and 2.5% of the respondents reported serious sleep problems. older with low self- assessment living standards were more likely to report a higher propensity for psychological problems (β = 0.420, P < 0.001) and poorer sleep quality (β = 0.608, P < 0.001) than older with high self- assessment living standards. Mental health of the older may be related to sleep quality (β = 0.117, P < 0.001). In addition, the effect of self- assessment living standard on mental health was significantly mediated by sleep quality (β = 0.071, P < 0.001).

CONCLUSION

Mental health is associated with self-assessment living standard, with this association mediated by sleep quality. A reasonable mechanism needs to be established to improve self-assessment living standard and sleep quality.

How mobile phone addiction is associated with suicidal ideation in university students in China: Roles of depression and online social support

Background

Recent studies have highlighted mobile phone addiction (MPA) as a potential risk of suicidal ideation. However, the mechanisms underlying that association require attention.

Objective

This investigation aims to examine whether the relationship between MPA and suicidal ideation would be mediated by depression, and buffered by online social support (OSS) in university students.

Methods

A convenient sample of 1,042 Chinese university students completed the measures of mobile phone addiction, depression, suicidal ideation, OSS in classroom settings. Moderated mediation analyses were performed to test the roles of depression and OSS in the association between MPA and suicidal ideation.

Results

MPA was positively associated with suicidal ideation through depression (indirect effect =. 23, 95% CI: 0.18, 0.28, p < 0.001); OSS moderated the association between depression and suicidal ideation (B = - 0.09, 95% CI: -0.13, -0.04, p < 0.001). Specifically, the effect of depression on suicidal ideation was weaker in individuals with high (versus low) OSS. OSS moderated the association between MPA and suicidal ideation (B = 0.06, 95% CI: 0.02, 0.10, p = 0.001). The influence of MPA on suicidal ideation was non-significant among individuals with high OSS but negatively significant among students with low OSS.

Conclusion

The results enrich the understanding of how MPA may increase suicidal ideation, and highlight the potential importance of reducing depression and enhancing OSS to prevent suicidal ideation in university students.

Association between Ultraviolet B Exposure Levels and Depression in Taiwanese Adults: A Nested Case-Control Study

Depression is a common mental disorder that affects more than 264 million people worldwide. Anxiety, diabetes, Alzheimer’s disease, myocardial infarction, and cancer, among other disorders, are known to increase the risk of depression. Exposure to ultraviolet B (UVB) can cause human serotonin levels to increase. The vitamin D pathway is one mechanism through which ultraviolet light absorbed through the skin can affect mood; however, UVB exposure is known to increase the risk of cancer. In this study, we explored the effects of prolonged exposure to UVB on depression. Data were retrieved from the Taiwan National Health Insurance Research Database for 2008 to 2013. Each patient with depression was matched 1:4 with a comparison patient by sex and age (±5 years); thus, the study included 23,579 patients with depression and 94,316 healthy controls for comparison. The patients had been exposed to UVB for at least 1 year to observe the cumulative effect of UVB exposure. Based on the World Health Organization UV index, we divided the observation period data into five UV levels: low, moderate, high, very high, and extreme. A multivariate Poisson regression model was used to assess the risk of depression according to UVB exposure level, adjusting for sex, age, income, urbanization level, month, and comorbidities. The results revealed that the incidence rate ratio (IRR) for patients with depression was 0.889 for moderate levels (95% CI 0.835–0.947), 1.134 for high levels (95% CI: 1.022–1.260), 1.711 for very high levels (95% CI: 1.505–1.945), and 2.785 for extreme levels (95% CI: 2.439–3.180) when compared to low levels. Moderate levels of UVB lowered the risk of depression, while high levels of UVB gradually increased the risk. We propose that UVB at normal concentrations can effectively improve depression. However, exposure to high concentrations of UVB damage DNA results in physical diseases such as skin cancer, which increase the risk of depression.