Relationship of physical activity and sleep with depression in college students

Microaggression and discrimination exposure on young adult anxiety, depression, and sleep

BACKGROUND

Increasing research examines social determinants of health, including structural oppression and discrimination. Microaggression - subtle/ambiguous slights against one's marginalized identity - is distinct from discrimination, which typically presents as overt and hostile. The current study investigated the comparative effects of each exposure on young adult anxiety, depression, and sleep. Race-stratified analyses investigated patterns across groups.

METHODS

Young adults (N = 48,606) completed the Spring 2022 American College Health Association-National College Health Assessment III. Logistic regressions tested odds of anxiety symptoms, depressive symptoms, and sleep disturbance in association with microaggression and discrimination exposure.

RESULTS

Microaggression and discrimination equally predicted increased likelihood of anxiety symptoms (ORMicro = 1.42, ORDiscrim = 1.46). Discrimination more strongly predicted depressive symptoms (OR = 1.59) and sleep disturbance (OR = 1.54) than did microaggression (ORDepress = 1.24, ORSleep = 1.27). Race-stratified analyses indicated stronger associations between the each exposure and poor mental health in Whites than Asian American, Black/African American, and Hispanic or Latino/a/x respondents.

LIMITATIONS

Microaggression and discrimination exposure were each assessed using a single item. The outcome measures were not assessed using validated measures of anxiety, depression, and sleep (e.g., GAD-7, MOS-SS); thus results should be interpreted with caution. Analyses were cross-sectional hindering our ability to make causal inferences.

CONCLUSIONS

The findings provide preliminary evidence that microaggression and discrimination exposure operate on health in distinct ways. Racially marginalized individuals may demonstrate a blunted stress response relative to Whites. Treatment approaches must be tailored to the particular exposures facing affected individuals to maximize benefits.

Association between 24-hour movement behavior and depression in college students: A compositional data analysis

BACKGROUND

Evidence strongly suggests that moderate-to-vigorous physical activity (MVPA) can help reduce symptoms of depression. However, the relationship between 24-h movement behaviors and depressive symptoms, as well as the potential substitution effects between different behaviors, remains unclear. Therefore, this study seeks to investigate how the time spent in one behavior relative to others is associated with depressive symptoms.

METHODS

The study recruited 366 participants, who had their levels of MVPA, light PA (LPA), and sedentary behavior (SB) recorded using tri-axial accelerometers over 7 consecutive days. Participants also self-reported their sleep duration (SLP). Depression scores were measured using the Center for Epidemiological Studies Depression Scale (CESD). Using compositional linear regression, the study explored the connections between different compositions of time spent in movement behaviors and depression symptom scores.

RESULTS

Spending more time on LPA and MVPA relative to other behaviors were associated with lower depression scores, whereas a higher proportion of SB relative to other activities was linked to increased depression scores. Reallocating time spent on SB to LPA and MVPA was associated with decreased depression scores.

LIMITATION

This study is a cross-sectional research design, and causality cannot be inferred. In addition, the sampling method of this study may have imposed some limitations on the representativeness of the sample. Further longitudinal studies could be conducted by selecting a large, representative sample.

CONCLUSION

Within the spectrum of 24-h movement behaviors, increasing the duration of LPA and MVPA emerges as advantageous for reducing depression scores, suggesting a potential benefit in reallocating SB to PA, especially MVPA.

Positive and Negative Correlates of Psychological Well-Being and Distress in College Students' Mental Health: A Correlational Study

BACKGROUND

Recognizing the positive or negative effects of students' mental health promotes personal development, well-being, and academic success. Academic life exposes college students to multiple adjustments, demands, and vulnerabilities that can cause stress and mental health problems. This study aims to identify psychological well-being and psychological distress effects on college students' mental health.

METHODS

A correlational study was designed involving a non-probabilistic 560 sample of students (446 women) aged 18 to 41 years (M = 19.6; SD = 1.68). An online self-report questionnaire was used including demographic, relational, academic, and health behaviors variables, and the measures: Mental Health Inventory; Satisfaction with Social Support Scale; Academic Life Satisfaction Scale; and Psychological Vulnerability Scale.

RESULTS

Regression analyses indicate that male students, dating, good academic performance, exercise, sleeping seven hours, satisfaction with social support, and academic life satisfaction were significant correlates (p < 0.05) of psychological well-being, with the last two having great weight in the model. Females, low income, aged 21-24 years, sleeping less than 6 h, moderate psychological vulnerability, and perception of vulnerability were significant (p < 0.05) negative effects of psychological distress.

CONCLUSIONS

This study addresses the positive and negative effects of psychological well-being and distress in college students. Specific mental health promotion and morbidity prevention programs can improve students' mental health literacy and resilience.

The Relationship Between Stressful Life Events and Depressive Symptoms in College Students: mediation by Parenting Style and Gender's Moderating Effect

Aim

Stressful life events have a significant impact on the mental health of college students. Depression, as a prevalent psychological issue, has garnered attention in the field of college student mental health and is closely linked to it. Additionally, parenting style is identified as an important factor influencing the development of college students' mental health. Therefore, this study aims to explore the relationship between these three factors.

Methods

A total of 8079 first-year college students from two medical universities in Shandong Province, China were surveyed. The Beck Depression Inventory was utilized to evaluate depressive symptoms among the college students, while the Adolescent Self-rating Life Events Checklist and the Egna Minnen Beträfande Uppfostran were employed to gather data. Subsequently, the SPSS macro program PROCESS was utilized to analyze both the mediating and moderating effects. All statistical analyses were conducted using SPSS 26.0.

Results

The study found a detection rate of 6.3% for depressive symptoms among college students. The correlation analysis of this study showed that the stressful life events of college students were significantly positively correlated with depressive symptoms (r=0.261, p< 0.01). Each dimension of parenting style was associated with depressive symptoms in different degrees and directions. At the same time, parenting styles of all sizes play a partial mediating role between stressful life events and depressive symptoms in college students, gender plays a crucial regulatory role in this mediation.

Conclusion

Stressful life events experienced by college students have a significant impact on their mental health. Early intervention through positive parenting styles from parents may prove to be beneficial in promoting the development of good mental health among college students.

Latent profile analysis of depressive symptoms in college students and its relationship with physical activity

OBJECTIVE

To explore the classification of depressive symptoms in college students and the relationship between those symptoms and physical activity.

METHODS

A convenience sampling method was employed to enlist college students from Songjiang University Town in Shanghai to complete in the General Information Questionnaire, Patient Health Questionnaire-9, and Physical Activity Scale-3.

RESULTS

A total of 3541 students were analyzed, averaging 19.34 years of age with a male composition of 53 %. The participants can be classified into four categories, namely: Group 1, which exhibits the most severe depressive symptoms, including suicidal ideation and cognitive symptoms (11.07 %); Group 2, which only manifests cognitive symptoms without suicidal ideation (14.35 %); Group 3, which presents mild depressive symptoms (23.61 %); and Group 4, consisting of normal college students (50.97 %). Students with strained family and interpersonal relationships, high levels of academic stress, and low frequency of social activities were at higher risk for detecting suicidal intention and cognitive symptoms. The level of physical activity was significantly higher in the normal group than in the other groups (all P < 0.001), and only the frequency of exercise was significantly different among the remaining three groups (χ2 = 14.716, P = 0.005). The detection rate of cognitive symptoms was significantly lower when exercising >3 times per week for 30-59 min (OR = 0.740, 95 % CI: 0.590-0.928; OR = 0.596, 95 % CI: 0.427-0.831).The detection rate of suicidal thoughts was significantly lower when exercising 2 times per month to 2 times per week or >3 times per week (OR = 0.585, 95 % CI: 0.404-0.847; OR = 0.392, 95 % CI: 0.258-0.595).

CONCLUSION

Suicidal ideation and cognitive symptoms can differentiate between various categories of depressive symptoms among college students. Engaging in physical activity serves as a protective factor against depressive symptoms among college students.

Relationships between grit and lifestyle factors in undergraduate college students during the COVID-19 pandemic

Objective: To investigate the influence of grit on physical activity, sleep and diet in undergraduate students during the COVID-19 pandemic. Participants: 125 undergraduate students participated in the study. Participants completed an online survey while enrolled in an online class during June, 2020. Methods: The online questionairre featured the following validated survey instruments: International Physical Activity Questionnaire Short Form, Pittsburgh Sleep Quality Index, the Rapid Eating Assessment for Participants Short Form and the grit short form. Effects of grit on lifestyle behaviors were explored using several statistical approaches. Results: We found that individuals with more grit reported better eating and sleeping behaviors compared to those with less grit. However, we did not find an influence of grit on physical activity or sitting time. Conclusion: Our findings support that personality traits encompassed in grit contribute to college students reporting healthier dietary habits and better sleep quality during a global pandemic.

The positive effects of positive coping on mental health in college students during the COVID-19 campus lockdown

Objectives

Isolation has been an effective method to control the spread of COVID-19 over the past 3 years. However, lifestyle changes may have a negative impact on mental health. To examine the effects of positive coping on mental health in college students during the COVID-19 campus lockdown, this study conducted an online cross-sectional survey.

Methods

In October 2022, following a prolonged campus lockdown of nearly 3 years, 313 university students from a university in Shandong Province, China, were invited to complete an online questionnaire. The questionnaire comprised a self-administered general situation questionnaire, the Simple Coping Style Scale, and the Hospital Depression and Anxiety Scale.

Results

(1) The analysis of variance revealed a significant main effect of coping Style on depression [F(4,300) = 2.446, p = 0.047] during the COVID-19 campus lockdown. A post-hoc test indicated that college students who engaged in study (p = 0.012) or sports (p = 0.027) during their free time had significantly lower depression scores than those who used the Internet. (2) Independent sample t-tests showed significant differences in positive and negative coping styles among college students in terms of depression (t = 6.891, p < 0.001) and anxiety scores (t = 7.745, p < 0.001). (3) Pearson correlation analysis demonstrated a negative correlation between positive coping style and anxiety (r = -0.378, p < 0.001), and between positive coping style and depression (r = 0.427, p < 0.001). Positive correlations were also found between the negative coping style and anxiety (r = 0.155, p = 0.007), and between the negative coping style and depression (r = 0.190, p < 0.001).

Discussion

The study suggested that fostering positive coping in students can mitigate mental health issues during crises, providing a blueprint for university mental health initiatives during epidemics.

Correlation and pathways of behavioral activation systems mediating physical activity level and depressive symptoms among college students

BACKGROUND

Depression is a common mental disorder among college students. The main symptoms include being persistent low mood, sad emotional experiences, lack of pleasure, listlessness, and impaired cognitive function accompanied by tendencies of self-harm and suicide.

AIM

To clarify the pathways and effects of the behavioral activation system between physical activity and depressive symptoms in college students with depressive symptoms.

METHODS

This cross-sectional research screened 3047 college students. Of these, 472 had depressive symptoms, with a depression detection rate of 15.49%. Furthermore, 442 college students with depressive symptoms were analyzed. A one-way analysis of variance and Pearson's correlation, linear regression, and structural equation modeling analyses were used to explore the correlations and pathways of the interactions between the variables.

RESULTS

Depressive symptoms were significantly negatively correlated with physical activity (r = -0.175, P < 0.001), the behavioral activation system (r = -0.197, P < 0.001), and drive (r = -0.113, P = 0.017). Furthermore, it was negatively correlated with fun-seeking (FS) (r = -0.055, P = 0.251); however, it was not significant. Physical activity was significantly positively correlated with reward responsiveness (RR) (r = 0.141, P = 0.003) and drive (r = 0.124, P = 0.009) and not significantly positively correlated with FS (r = 0.090, P = 0.058). The mediating effect of RR between physical activity and depressive symptoms was significant [B = -0.025, 95% confidence interval (95%CI): -0.051 to -0.008, P = 0.001]. The direct and total effects of physical activity on depressive symptoms and were significant (B = -0.150, 95%CI: -0.233 to -0.073, P < 0.001; B = -0.175, 95%CI: -0.260 to -0.099, P < 0.001), respectively.

CONCLUSION

As physical activity levels increased, depression scores among college students decreased. The mediating effect of RR between physical activity and depressive symptoms was significant. Therefore, colleges and universities should encourage college students with depression to increase their physical activity and improve their behavioral activation system. Particular attention should be paid to RR, which may reduce the prevalence of depressive symptoms.

The effects of body dissatisfaction, sleep duration, and exercise habits on the mental health of university students in southern China during COVID-19

Following the outbreak of COVID-19 at the end of 2019, universities around the world adopted a closed management model and various restrictive measures intended to reduce human contact and control the spread of the disease. Such measures have had a profound impact on university students, with a marked increase in depression-related psychological disorders. However, little is known about the specific status and factors influencing the impact of the pandemic on student mental health. Addressing this gap, this study examines the body dissatisfaction, physical activity, and sleep of university students during the pandemic, and uses their levels of depression to provide a theoretical basis for the development of mental health interventions for university students in the post-epidemic era. To achieve this, a total of 1,258 university students were randomly recruited for this cross-sectional study. Collected data included respondents' anthropometric measurements, body dissatisfaction levels, dietary habits, sleep status, physical activity levels, and depression levels. The overall detection rate of depression was 25.4%, with higher levels of depression among women. Multiple regression analysis showed that the PSQI score (β = 1.768, P < 0.01) and physical activity scores (β = -0.048, P < 0.01) were significant predictors of depression in men, while the PSQI score (β = 1.743, P < 0.01) and body dissatisfaction scores (β = 0.917, P < 0.01) were significant predictors of depression in women. Mental health problems were prevalent among university students during the COVID-19 pandemic. Results indicate the possibility of alleviating depression among university students by improving their body dissatisfaction, physical activity, and sleep. However, as this study was limited to Ganzhou City, it is challenging to extrapolate the findings to other populations. As this was a cross-sectional study, a causal relationship between depression levels and lifestyle habits cannot be determined.

The effect of duration of youth/parent communication on depression and anxiety during COVID-19 isolation in China

The current study examines the mediating roles of self-efficacy and sleep disturbance and the moderating role of gender in the association between the duration of youth/parent communication on depression and anxiety during the COVID-19 isolation period in China. We used the self-designed demographic variable questionnaire, General Self-Efficacy Scale, the Pittsburgh Sleep Quality Index, the Self-Rating Depression Scale, and the Self-Rating Anxiety Scale with 1,772 youths aged 15-24 from 26 provinces in China during the COVID-19 lockdown. We performed demographic variable analysis, correlation analysis, mediation analysis, and moderated analysis. The duration of daily communication with parents was significantly positively correlated with self-efficacy and significantly negatively correlated with sleep disturbance, depression, and anxiety. The chain mediation analysis revealed that the duration of communication with parents directly affected depression and anxiety. Self-efficacy, sleep disturbance, and self-efficacy sleep disturbance had significant mediating and chain-mediating effects on the duration of communication with parents, depression, and anxiety. The interactions between sleep disturbance and gender (B = 0.35, 95% CI 0.06 to 0.64, p = .02 < .05) were significant. The duration of parent/youth communication directly affected depression and anxiety and indirectly affected depression and anxiety via the chain-mediating effect of self-efficacy and sleep disturbance. Gender moderates the relationships between sleep disturbance and depression.

Physical activity and depression of Chinese college students: chain mediating role of rumination and anxiety

Objective

To explore the relationship between physical activity and depression among college students, as well as the mediating role of rumination and anxiety.

Methods

A total of 1,292 Chinese college students were investigated by physical activity questionnaire, rumination scale, self-rating anxiety scale (SAS), and depression scale.

Results

(1) There was a significant negative correlation between physical activity and depression (r = -0.399, p < 0.01), and the direct path of physical activity on depression was significant (β = -0.399, t = -13.374, p < 0.01). (2) Physical activity negatively predicted rumination (β = -0.322, t = -10.440, p < 0.01) and anxiety (β = -0.222, t = -7.089, p < 0.01). Rumination positively predicted anxiety (β = 0.283, t = 9.017, p < 0.01) and depression (β = 0.267, t = 9.046, p < 0.01). Anxiety positively predicted depression (β = 0.262, t = 8.902, p < 0.01). (3) Rumination and anxiety play a significant mediating role between physical activity and depression. The mediating effect involves three paths: physical activity → rumination → depression (the mediating effect value: -0.076); physical activity → anxiety → depression (the mediating effect value: -0.052). Physical activity → rumination → anxiety → depression (the mediating effect value: -0.021).

Conclusion

(1) Physical activity can negatively predict the rumination, anxiety, and depression of college students, which means physical activity can reduce rumination, anxiety, and depression of college students. (2) Physical activity can not only directly affect the depression of college students, but also indirectly affect depression through the independent intermediary role of rumination and anxiety, and the chain mediation of rumination and anxiety.

Exploring Yoga Behaviors among College Students Based on the Multi-Theory Model (MTM) of Health Behavior Change

During college years, perceived stress is the top reported hindrance to well-being and academic success. Data on the acceptance and perceived benefits of yoga among college students are limited. A purposive sample of college students (n = 79) from a course centered on Vinyasa Yoga and Mindfulness Meditation were recruited. Comprehensive yoga journaling data were collected, and a directed content analysis along the constructs of the multi-theory model (MTM) of health behavior change was utilized. The advantages of yoga that emerged were improved physical performance, reduced perceived stress, acceptance of oneself, better well-being, and improved coping. The identified disadvantages were time commitment, lack of motivation, and other competing interests. Learning through small steps, modifications, and identifying multiple sources of confidence helped build behavioral confidence. Practicing at home or at a yoga studio was a common theme for support in the physical environment. Directing negative emotions into purposes was helpful in maintaining the yoga practice. Sustained commitment to the practice also helped maintain the regular performance of yoga. Finally, social support from family, friends, and instructors was vital for continued practice. The study has important ramifications for the development of survey tools for descriptive studies and designing behavior-change yoga interventions in this target population.

Use of Electronic Ecological Momentary Assessment Methodologies in Physical Activity, Sedentary Behavior, and Sleep Research in Young Adults: Systematic Review

BACKGROUND

Recent technological advances allow for the repeated sampling of real-time data in natural settings using electronic ecological momentary assessment (eEMA). These advances are particularly meaningful for investigating physical activity, sedentary behavior, and sleep in young adults who are in a critical life stage for the development of healthy lifestyle behaviors.

OBJECTIVE

This study aims to describe the use of eEMA methodologies in physical activity, sedentary behavior, and sleep research in young adults.

METHODS

The PubMed, CINAHL, PsycINFO, Embase, and Web of Science electronic databases were searched through August 2022. Inclusion criteria were use of eEMA; sample of young adults aged 18 to 25 years; at least 1 measurement of physical activity, sedentary behavior, or sleep; English language; and a peer-reviewed report of original research. Study reports were excluded if they were abstracts, protocols, or reviews. The risk of bias assessment was conducted using the National Heart, Lung, and Blood Institute's Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. Screening, data extraction, and risk of bias assessments were conducted by independent authors, with discrepancies resolved by consensus. Descriptive statistics and narrative synthesis were used to identify overarching patterns within the following categories guided by the Checklist for Reporting Ecological Momentary Assessments Studies: study characteristics, outcomes and measures, eEMA procedures, and compliance.

RESULTS

The search resulted in 1221 citations with a final sample of 37 reports describing 35 unique studies. Most reports (28/37, 76%) were published in the last 5 years (2017-2022), used observational designs (35/37, 95%), consisted of samples of college students or apprentices (28/35, 80%), and were conducted in the United States (22/37, 60%). The sample sizes ranged from 14 to 1584 young adults. Physical activity was measured more frequently (28/37, 76%) than sleep (16/37, 43%) or sedentary behavior (4/37, 11%). Of the 37 studies, 11 (30%) reports included 2 movement behaviors and no reports included 3 movement behaviors. eEMA was frequently used to measure potential correlates of movement behaviors, such as emotional states or feelings (25/37, 68%), cognitive processes (7/37, 19%), and contextual factors (9/37, 24%). There was wide variability in the implementation and reporting of eEMA procedures, measures, missing data, analysis, and compliance.

CONCLUSIONS

The use of eEMA methodologies in physical activity, sedentary behavior, and sleep research in young adults has greatly increased in recent years; however, reports continue to lack standardized reporting of features unique to the eEMA methodology. Additional areas in need of future research include the use of eEMA with more diverse populations and the incorporation of all 3 movement behaviors within a 24-hour period. The findings are intended to assist investigators in the design, implementation, and reporting of physical activity, sedentary behavior, and sleep research using eEMA in young adults.

TRIAL REGISTRATION

PROSPERO CRD42021279156; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021279156.

Better sleep quality and higher physical activity levels predict lower emotion dysregulation among persons with major depression disorder

BACKGROUND

People with Major Depression Disorders (MDD) often complain about sleep problems and experience emotion dysregulation. Prior research suggests physical activity can improve both sleep quality and emotional control. However, there is limited research on emotion regulation and the impact of physical activity and sleep in this population.

OBJECTIVES

The present study examined the relationships between sleep quality, emotion regulation, and physical activity levels among patients with MDD.

METHODS

The sample consisted of 118 patients with MDD (mean age: 31.85 years) who completed questionnaires on sleep quality, physical activity, emotion regulation, and depression.

RESULTS

Results showed that more sleep problems were associated with worse emotion dysregulation, and more physical activity was associated with fewer sleep problems and less emotion dysregulation. Furthermore, physical activity and sleep quality significantly predicted emotion dysregulation, with physical activity being the stronger predictor.

CONCLUSIONS

Results from this study suggest that individuals with MDD who are able to engage in physical activity and get better sleep could experience emotional regulation benefits.

Association between duration of electronic screen use for non-educational purposes and depression symptoms among middle and high school students: a cross-sectional study in Zhejiang Province, China

Background

Existing literature on the association of electronic screen use duration with depression among adolescents is contradictory. The current study aimed to elucidate the association between duration of electronic screen use for non-educational purposes and depression symptoms among middle and high school students in Zhejiang Province, China.

Methods

A cross-sectional study of 27,070 students in grades 7-12 from 376 middle and high schools was conducted through an anonymous self-administered questionnaire between April and June 2022. Poisson regression was utilized to examine the association between electronic screen use duration for non-educational purposes and depression symptoms.

Results

Of the 27,006 eligible students, 51.6% (13932) were boys and the mean (SD) age was 15.6(1.7) years. The overall prevalence of symptoms of depression was 22.4% (95%CI 21.4-23.4); girls (27.6%, 26.2-29.0) had a higher prevalence than boys (17.7%, 16.7-18.8). After adjustment for socio-demographic status, lifestyle factors, self-perceived health, academic performance, loneliness and sadness, compared to those who did not use electronic screens for non-educational purposes, the prevalence ratios (PRs) for depression symptoms were 1.03 (95% CI 1.02-1.04) for those exposed to electronic screens for <1 h/day, 1.07 (1.05-1.09) for 1.0-1.9 h/day, 1.10 (1.07-1.13) for 2.0-2.9 h/day, 1.14 (1.10-1.18) for 3.0-3.9 h/day, 1.18 (1.12-1.23) for 4.0-4.9 h/day, and 1.21 (1.15-1.29) for ≥5 h/day.

Conclusion

Duration of electronic screen use for non-educational purposes was positively associated with symptoms of depression among middle and high school students, even with a relatively short daily duration of use.

Research trends of exercise therapy of college students in depression from 2002 to 2022: a bibliometric analysis

Background

Depression is a serious psychological disorder that college students are experiencing. College students' depression problems, which can be caused by various factors, have been easily ignored and untreated. In recent years, exercise, as a low-cost and easily accessible method for treating depression, has attracted widespread attention. The purpose of this study is to use bibliometrics to explore the hotspots and trends in the field of exercise therapy of college students in depression from 2002 to 2022.

Methods

We retrieved relevant literature from the Web of Science (WoS), PubMed, and Scopus databases, and generated a ranking table to describe the core productivity in the field. We used VOSViewer software to generate network maps of authors, countries, co-cited journals, and co-occurring keywords to help us better understand the scientific collaboration patterns, potential disciplinary foundations, as well as research hotspots and trends in this field.

Results

From 2002 to 2022, a total of 1,397 articles related to exercise therapy of college students in depression were selected. The key findings of this study are as follows: (1) the number of publications has gradually increased, especially after 2019; (2) United States and its affiliated higher education institutions have made significant contributions to the development of this field; (3) there are multiple research groups in this field, but their connections are relatively limited; (4) the field is relatively interdisciplinary, primarily a convergence of behavioral science, public health, and psychology; (5) based on co-occurring keyword analysis, six main themes were summarized: health-promoting factors, body image, negative behaviors, increased stress, depression coping strategies, and diet.

Conclusion

Our study illustrates the research hotspots and trends for the research of exercise therapy of college students in depression, presents some challenges and new insights, and provides valuable information for further research.

Sex differences in childhood maltreatment, inflammation, and adulthood depression: A network analysis

Background

Efforts to improve treatment for adults with major depression (MD) and childhood maltreatment (CM) have identified inflammation as a potential target to improve health. Network models have emerged as a new way to understand the relationship between depressive symptoms and inflammation. However, none have accounted for the role of childhood maltreatment in the link between depressive symptoms and inflammation, or sex differences commonly found in these constructs.

Methods

Data from two waves of the Midlife Development in the United States study were used in this study (N = 1917). The Center for Epidemiological Studies Depression (CES-D) scale and Childhood Trauma Questionnaire, and six inflammation markers served as nodes in an undirected psychometric network analysis. Edges between nodes were calculated using partial Spearman's correlation. Separate networks were modeled for males and females.

Results

The total network revealed several associations between nodes of CM, MD, and inflammation, with emotional abuse having a strong association with somatic complaints. Network comparison testing revealed male-female network invariance, with several edge differences between male and female networks. Males and females showed differences in associations across inflammatory markers and depressive symptom clusters, particularly among somatic complaints and interpersonal difficulties.

Conclusions

Specific associations between dimensions of inflammation, CM, and MD may represent important targets for treatment. Network models disaggregated by sex showed that males and females may have fundamentally different associations between these constructs, suggesting that future studies should consider sex-specific interventions.

Association Between 24-Hour Movement Guideline and Physical, Verbal, and Relational Forms of Bullying Among Chinese Adolescents

The Canadian 24-Hour Movement Guidelines for Children and Youth recommends specific guidance in physical activity, screen time, and sleep duration. The current research will further explore potential exposures between healthy movement and being involved in a bullying incident as a bully or a victim in a representative sample of adolescents in China. A total of 67 821 Chinese students (response rate = 98.4%) were included in this study (mean age = 13.04 years). The results showed that meeting sleep recommendation only, meeting screen time recommendation only, and meeting both these two recommendations might be protective factors against being bullied or bullying others. Meeting moderate-to-vigorous physical activity (MVPA) recommendation only reported higher odds of being victims in all forms of bullying while meeting both MVPA and another combination of the guideline would relate to lower odds of being a bully and a bully-victim in all forms of bullying involvement.

Activities of Daily Living and Depression in Chinese Elderly of Nursing Homes: A Mediation Analysis

Purpose

This study aimed to explore the role of sleep quality as a mediator in the activities of daily living (ADLs) and depression.

Patients and Methods

Participants (N=645; age≥60) were included in six nursing homes in Weifang, Shandong Province, using convenience sampling. Participants completed questionnaires to assess sleep quality, ADLs, and depression. Depression condition was assessed by the Patient Health Questionnaire (PHQ-9), ADLs was assessed by the Barthel Index (BI), and sleep quality was measured by the Pittsburgh Sleep Quality Index (PSQI). Mediation analysis was carried out by SPSS PROCESS.

Results

ADLs (r=0.449, P<0.01) and sleep quality (r=0.450, P<0.01) were found to be positively associated with depression among the elderly. Sleep quality plays a significant mediating role in the influence of ADLs on depression in the elderly in nursing homes (Bootstrap 95% CI [0.076, 0.139]), The pathway from ADLs to sleep quality to depression yielded a medium effect size of 20.23%.

Conclusion

ADLs help to explain how sleep quality partly mediates depression among the elderly in nursing homes. It is therefore recommended that timely detection and efficient interventions should focus on promoting physical function and improving sleep quality among the elderly in nursing homes.

The link among academic stress, sleep disturbances, depressive symptoms, academic performance, and the moderating role of resourcefulness in health professions students during COVID-19 pandemic

Background

The rapid shift to virtual learning in response to the COVID-19 pandemic contributed to high academic stress among health profession students. High academic stress was associated with impaired psychosocial well-being and decreased academic performance.

Objectives

The purpose of this study was to assess the relationship between academic stress, anxiety, sleep disturbances, depressive symptoms, academic performance, and the moderating effect of resourcefulness among undergraduate health profession students.

Methods

This descriptive and cross-sectional study included undergraduate health profession students. The primary investigator distributed the study link to all students through the university's Central Messaging Centre, Twitter account, and WhatsApp. The study variables were measured using the Student Life Stress Inventory, the Generalized Anxiety Disorder-7 questionnaire, the Centre for Epidemiology Scale of Depression, the Pittsburgh Sleep Quality Index, and the Resourcefulness Skills Scale. Pearson R correlation and linear regression analysis were utilized for statistical analysis.

Results

Our sample included 94 undergraduate health profession students, 60 % of which were females with a mean age of 21, and the majority were nursing and medicine students. High academic stress, anxiety, sleep disturbances, depressive symptoms, and resourcefulness were reported among 50.6 %, 43 %, 79.6 %, 60.2 %, and 60 % of the participants, respectively. However, no effect of resourcefulness was found on any of the study variables. Instead, academic stress and sleep disturbances were the strongest predictors of depressive symptoms regardless of the level of resourcefulness.

Conclusion

Adequate academic support during virtual learning and tools to early detect subtle signs of high academic stress, anxiety, depression, and sleep disturbance should be routinely utilized by educational institutions. In addition, incorporating sleep hygiene and resourcefulness training in health professions education is highly indicated.

Predictors of positive mental health in higher education students. A cross-sectional predictive study

PURPOSE

To describe positive mental health (PMH) psychological vulnerability (PV) and identify predictors of PMH in higher education students (HES).

DESIGN AND METHODS

A cross-sectional, predictive study was performed with a convenience sample of 3322 students, using an online questionnaire with sociodemographic information, the PMH Questionnaire, and the PV Scale.

FINDINGS

The majority scored a flourishing level, and 67.7% of the participants scored high levels of PV. The Regression Model found a significant predictive variable for PMH.

PRACTICE IMPLICATIONS

Gender, age, regular exercise, healthy diet, number of meals per day, and leisure activities are significant positive predictors of PMH. PV is the sole significant negative predictor. Therefore, improving mental health literacy can be a strategy to support HES.

The Relationship between Physical Exercise and Negative Emotions in College Students in the Post-Epidemic Era: The Mediating Role of Emotion Regulation Self-Efficacy

OBJECTIVE

To investigate the relationship between physical activity and negative emotions among college students in the post-epidemic era and determine if emotional regulation plays a mediating role between physical activity and negative emotions.

METHODS

479 college students (293 males, 186 females, M = 19.94, SD = 1.25) who were under closed campus management during the epidemic period were surveyed using the physical activity rating scale (PARS-3), the self-assessment scale for anxiety (SAS), the self-esteem scale for depression (SDS), and the emotion regulation self-efficacy scale (RES).

RESULTS

(1) Physical activity, negative emotions, and emotion regulation self-efficacy among college students were significantly different by gender (p < 0.01). (2) Physical exercise was negatively correlated with anxiety and depression (r = -0.236, p < 0.01; r = -0.198, p < 0.01) and positively correlated with emotion regulation self-efficacy (r = 0.256, p < 0.01) in college students. (3) Emotion regulation self-efficacy was negatively correlated with anxiety and depression (r = -0.440, p < 0.01; r = -0.163, p < 0.01). (4) Emotion regulation self-efficacy also partially mediated the relationship between physical activity and negative emotions.

CONCLUSION

(1) Physical activity in the post-epidemic era negatively predicted anxiety and depression in school-isolated college students. (2) Emotion regulation self-efficacy in the post-epidemic era partially mediates the relationship between physical activity and anxiety and depression.

Association between Type and Intensity of Physical Activity and Depression

Background

Although numerous studies have indicated that lower levels of physical activity correlate with a higher risk of depression, an association between the type of physical activity and depression has not been identified in Korea. This study aimed to examine whether the type and intensity of physical activity are associated with depression in Korean adults.

Methods

This cross-sectional study used data from the Korea National Health and Nutrition Examination Survey (KNHANES). A total of 11,679 individuals were analyzed using multiple logistic regression analyses to identify any association between the type of physical activity and depressive disorders in the sample subjects.

Results

Measured weekly in units of energy expenditure, known as metabolic equivalents (METs), the amount of work-related physical activity was higher in individuals with depression according to the Patient Health Questionnaire- 9 than the participants without depression (386.7 vs. 206.7 MET-min/wk, P=0.01). Those diagnosed with depression tended to engage in less recreational activity per week (143.7 vs. 316.3 MET-min/wk, P<0.001) than those without depression. After controlling for covariates, the risk of depression among all participants was 1.012 times higher with a 100-unit increase in total work-related activity measured in METs (95% confidence interval [CI], 1.006–1.017; P<0.001) and 0.962 times lower with a 100-unit increase in total leisure activity measured in METs (95% CI, 0.937–0.987; P=0.003).

Conclusion

Different types of physical activity were shown to be differently associated with depressive disorders in Korean adults. This study might guide in reducing work-related physical activity and increasing leisure activity to prevent the occurrence of depression.

Associations between Chinese college students’ anxiety and depression: A chain mediation analysis

Objective

Anxiety and depression are great public health concerns among college students. The purpose of this study was to explore whether sleep quality and quality of life (QoL) play mediating roles in anxiety and depression among Chinese college students.

Method

A total of 2757 college students (mean age = 19.07; SD = 1.14) completed the questionnaires, including a brief demographic survey. The 2-item General Anxiety Disorder (GAD-2) and the 2-item Patient Health Questionnaire (PHQ-2) were used to assess the symptoms of anxiety and depression, respectively. And the Pittsburgh Sleep Quality Index (PSQI) and the Short-Form 36 Health Survey (SF-36) were used to evaluate college students’ sleep quality and QoL, respectively. Mediation analyses were conducted by using PROCESS macro in the SPSS software.

Result

Anxiety had both direct and indirect effects on depression. Sleep quality and QoL were not only independent mediators in the relationship between anxiety and depression but also chain mediators.

Conclusion

The results of the current study highlight the crucial role of early intervention for depression with a focus on college students with anxiety, more especially, on those with poorer sleep quality and lower QoL.

The mediating effect of engagement in physical activity over a 24-hour period on chronic disease and depression: Using compositional mediation model

BACKGROUND

Popular mediation method only considers a single activity as a mediator instead of all 24-hour physical activity, such as a four-way decomposition method. We investigated the mediation of 24-hour movement continuum between chronic diseases (cardiovascular disease [CVD] and diabetes) and depression using a novel compositional mediation model.

METHODS

24-hour activity data measured by accelerometer were obtained from NHANES 2005-2006. Adjusted coefficient with 95% confidence interval (95% CI) for PHQ-9 total score and adjusted odds ratio (OR) with 95% CI for depression were computed from compositional mediation models.

RESULTS

In total, 2,375 participants aged ≥ 20 were included in our analysis. Both diabetes and CVD were associated with increased sedentary behavior (SB) and sleep and reduced moderate-to-vigorous physical activity (MVPA) and light-intensity physical activity (LPA), leading to an increased likelihood of depression. Although not all component indirect effects were associated with PHQ-9 total score and depression, the total indirect effect was significantly associated with both PHQ-9 total score (coefficient (95% CI) for diabetes: 0.162 (0.081, 0.261); coefficient (95% CI) for CVD: 1.139 (1.061, 1.240)) and depression (OR (95% CI) for diabetes: 0.235 (0.126, 0.362); OR (95% CI) for CVD: 1.200 (1.088, 1.346)) using the compositional mediation model.

CONCLUSION

We developed a compositional mediation model for continuous and binary outcomes, which can handle entire compositional mediators as a unit. The mediation of 24-hour movement continuum mediated the association between diabetes, CVD, and depression. Our findings present potential interventions for reducing risk of depression among patients with CVD and diabetes.

Can physical activity foster mental health by preventing addictive social media use? – A longitudinal investigation during the COVID-19 pandemic in Germany

Introduction

The COVID-19 pandemic contributed to an increase of mental health problems like depression, anxiety, stress symptoms, and Internet-based addictive behaviors. Therefore, the present longitudinal study investigated whether physical activity might prevent addictive social media use (SMU) and thus foster positive mental health (PMH) and decrease negative mental health (NMH).

Methods

Data were assessed in a sample of 356 participants (Mage = 27.43, SDage = 6.59) from Germany via online surveys at two measurement time points in spring 2020 (baseline, BL) and one year later in spring 2021 (follow-up, FU). Moderated mediation analyses were conducted for the investigation of the relations.

Results

Analyses revealed that addictive SMU (BL) mediated the relationship between physical activity (BL) and PMH (FU) as well as symptoms of depression, anxiety, and stress (FU). Moreover, the association between physical activity and addictive SMU was moderated by the level of burden caused by COVID-19 (BL), i.e., it was significant for medium and high, but not for low burden.

Limitations

The mostly female and relatively young sample limit the generalizability of the current findings. Moreover, the relationships should be investigated in further countries to different time points.

Conclusions

The findings indicate positive effects of physical activity on PMH and NMH by the reduction of tendencies of addictive SMU. Especially people who experience high levels of burden by COVID-19 may benefit from regular physical activity. This could be a cost-effective, low-threshold prevention strategy for meeting the pandemic induced challenges for mental health.

Machine Learning Based Healthcare System for Investigating the Association Between Depression and Quality of Life

New technological innovations are changing the future of healthcare system. Identification of factors that are responsible for causing depression may lead to new experiments and treatments. Because depression as a disease is becoming a leading community health concern worldwide. Using machine learning techniques this article presents a complete methodological framework to process and explore the heterogenous data and to better understand the association between factors related to quality of life and depression. Subsequently, the experimental study is mainly divided into two parts. In the first part, a data consolidation process is presented. The relationship of data is formed and to uniquely identify each relation in data the concept of the Secure Hash Algorithm is adopted. Hashing is used to locate and index the actual items in the data because it is easier to process short hash values instead of longer strings. The second part proposed a model using both unsupervised and supervised machine learning techniques. The consolidation approach helped in providing a base for formulation and validation of the research hypothesis. The Self organizing map provided 08 cluster solution and the classification problems were taken from the clustered data to further validate the performance of the posterior probability multi-class Support Vector Machine. The expectations of the importance sampling resulted in factors responsible for causing depression. The proposed model was adopted to improve the classification performance, and the result showed classification accuracy of 91.16%.

Physical activity and mental health. Is achieving the physical activity guidelines associated with less depressive symptoms among undergraduates at the University of Turku, Finland?

OBJECTIVES

Virtually no previous research assessed physical activity (PA) of university students in Finland, and their associations with depressive symptoms, whilst simultaneously controlling for potential confounders.

METHODS

Students at the University of Turku (1,177) completed an online health and wellbeing questionnaire that assessed depressive symptoms (22 items), as well as their achievement of the guidelines of four forms of low, moderate, vigorous, and muscle strengthening PA (LPA, MPA, VPA, MSPA, respectively). We explored the associations of depressive symptoms with these PA forms, accounting for socio-demographic and health confounders (age, gender, year of study, marital status, accommodation during semesters, self-rated health).

RESULTS

Achievement of PA guidelines was generally low for these young adult Finnish undergraduates. Bivariate relationships (no controlling for confounders) between depressive symptoms and four forms of PA guidelines achievement showed that in males, good/very good/excellent self-rated health, and achievement of the MSPA guidelines were significantly negatively associated with depressive symptoms. Conversely, low PA was significantly positively associated with depressive symptoms. Multiple regression (controlling for confounders) showed that achievement of the MSPA guidelines was independently significantly negatively associated with depressive symptoms; and whilst achievement of the MPA and VPA guidelines was negatively associated with depressive symptoms, the relationships did not reach statistical significance. Likewise, low PA was positively associated with depressive symptoms, but the relationships were again not statistically significant.

CONCLUSION

Universities would benefit from multipronged strategies and approaches employing effective interventions aimed at improving students' general awareness of their health and promoting more physically active lifestyles among students.

Physical activity and sedentary behaviors among active college students in Kuwait relative to gender status

Objectives

To determine the prevalence of physical activity (PA), sedentary behaviors (SB) and sleep duration and the associations between those variables among Kuwaiti Physical Education (PE) College students.

Methods

A total of 418 participants (220 females) were randomly selected from the Basic Education College in the Public Authority for Applied Education and Training in Kuwait. Body weight and height were measured, and body mass index (BMI) was calculated. A validated questionnaire was used to assess lifestyle behaviors.

Results

Based on BMI classification, the prevalence of overweight or obesity among males (34.9%) was significantly higher than that of females (16.7%). However, the mean (SD) of body fat percentage using bioelectrical impedance analysis was 21.3 (9.0) for males and 32.3 (7.7) for females. The proportions of highly active (> 1,200 METs-min/week) males (85.9%) and females (64.3%) were significantly (p < 0.005) different. The participants exceeding 3 hours of screen viewing time/day and insufficient sleep duration (< 7 hours/night) were 76.8% and 65.1%, respectively, with no gender differences. Logistic regression, adjusted for confounders, showed that highly active PE students had a higher proportion of SB. However, neither sleep duration nor body fat percentage exhibited any significant difference relative to PA.

Conclusions

Despite having high PA, Kuwaiti PE College students had a high prevalence of SB and insufficient sleep. Gender differences were found in PA but not in screen time or sleep duration. Efforts toward reducing SB and insufficient sleep among Kuwaiti PE College students are needed to reduce unhealthy lifestyle behaviors and promote health and well-being.

Health-Risk Behaviors and Dietary Patterns Among Jordanian College Students: A Pilot Study

Background/Aims: Health promotion and the incorporation of health-protective behaviors in people's lifestyles have a great role in enhancing individuals' overall health and well-being. College students are at increased risk of developing unhealthy dietary and lifestyle behaviors. A cross-sectional pilot study was conducted to assess the health-risk behaviors among undergraduate college students at Jordan University of Science and Technology. Methods: The final sample included 136 students, with a mean age of 21.1 ± 2.37 years, mostly females (69%). A self-reported questionnaire was used for data collection about dietary and lifestyle behaviors among college students. The questionnaire consisted of four parts: sociodemographic characteristics, body weight classifications, lifestyle behaviors, and dietary patterns and intake, and eating behaviors. Results: Most of the students did not meet the daily recommendations for fruit (76%) and vegetable (82%) intake. Males were significantly consuming fast food more frequently (p = 0.019), and smoked cigarettes (p < 0.001) or hookah (p = 0.015) more frequently than did females. Further, the majority met the recommendations for physical activity (81%), but exceeded recommendations for sedentary behavior. Females were more likely to have normal weight or be underweight (OR = 4.865), to have a fear of weight gain (OR = 3.387), and to have the recommended sleeping hours (OR = 7.685) than were males. Conclusion: The results indicate the health-risk behaviors and the gender-related differences among college students.

Using Fitbit data to examine factors that affect daily activity levels of college students

To date, the effect of both fixed and time-varying individual, social, psychological, environmental, and behavioral characteristics on temporal growth trends in physical activity (PA) among younger individuals remains an under-studied topic. In this paper, we address this gap in previous work by examining how temporal growth trends in PA respond to changing social, environmental, and behavioral characteristics using a large sample of college students (N = 692) who participated in the NetHealth project at the University of Notre Dame and from which fine-grained longitudinal data on physical activity and social interaction were collected unobtrusively via the use of wearables for 637 days (August 16, 2015 to May 13, 2017). These data are augmented by periodic survey data on fixed sociodemographic and psychological variables. We estimate latent growth-curve models for daily activity status, steps, active minutes, and activity calories. We find evidence of both a generalized friendship paradox and a peer effect for PA, with the average PA level of study participants' contacts being on average larger than their own, and with this average level exerting a statistically significant effect on individual PA levels. Notably, there was limited evidence of temporal growth in PA across the 637 days of observation with null temporal effects for three out of the four PA indicators, except for daily steps taken. Finally, we find that social, psychological, and behavioral factors (e.g., large network size, high extroversion levels, and more courses taken) are systematically associated with higher PA levels in this sample. Overall, our findings highlight the importance of social, environmental, and behavioral factors (such as peer networks and daily sociability) in modulating the dynamics of PA levels among college students.

Intensity of Physical Activity and Depressive Symptoms in College Students: Fitness Improvement Tactics in Youth (FITYou) Project

Purpose

To investigate whether the physical activity at different intensities is correlated with depressive symptoms in college students.

Patient and Methods

This cross-sectional study was a part of the Fitness Improvement Tactics in Youth Project, which was conducted in 2017. A total of 2,820 college freshmen aged 15-24 years were included in this study, of whom 699 (24.8%) were males and 2,121 (75.2%) were females. Depressive symptoms were measured using the Self-rating Depression Scale. Physical activity was assessed using the International Physical Activity Questionnaire-Short Form. Covariates included sociodemographic, lifestyle-related, and health-related factors.

Results

A total of 560 (19.9%) college students had depressive symptoms. Total physical activity levels (METs•hour/week) were positively associated with frequency of breakfast intake (p = 0.050) but no other participant characteristics. Logistic regression analysis showed that the prevalence of depressive symptoms in the highest quartile of physical activity was lower than in the lowest quartile when adjusted for sex, age, ethnicity, only child, smoking status, alcohol use, breakfast frequency, daily sleep duration, body mass index, grip strength, and the number of metabolic syndrome components (odds ratios [95% confidence intervals (CI)]: 0.75 [0.58, 0.98], p = 0.036). Furthermore, high physical activity levels of low-intensity tended to moderately correlate to lower prevalence of depressive symptoms (odds ratios [95% CI]: Q1, 0.71 [0.55, 0.91], Q2, 0.77 [0.59, 1.01], Q3, 0.75 [0.57, 0.98], p for trend = 0.037). Associations of moderate and vigorous physical activity with depressive symptoms were not found. For secondary outcomes, sex-stratified analysis showed that similar findings were only found in females, but not males.

Conclusion

This study indicated that total physical activity and low-intensity physical activity were inversely associated with depressive symptoms in Chinese college students. All these observations showed gender differences.

Impact of problematic mobile phone use and insufficient physical activity on depression symptoms: a college-based follow-up study

Background

Insufficient physical activity (IPA) and mobile phone dependence are common coexisting behaviors among college students. However, the impact of the synergies between the two behaviors on depression has yet to be validated. Therefore, this study evaluated independent and interactive associations of problematic mobile phone use (PMPU) and IPA with depression symptoms and increased depressive symptoms among Chinese college students.

Methods

In total, 2134 college students participated in this follow-up study, which was conducted between June 2014 (wave 1) and December 2014 (wave 2) at Anhui Medical University. The Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use and the Center for Epidemiologic Studies Depression Scale were used to assess PMPU and depression symptoms, respectively. Physical activity (PA) was assessed with a reliable question from the Youth Risk Behavior Survey. Joint effects of PMPU and PA were calculated, and increased depressive symptoms were assessed. We used multivariable-adjusted odds ratios (OR) with 95% confidence intervals (CI) to evaluate associations between depression symptoms and PMPU, IPA, and the PMPU/IPA joint effect, estimated by binary logistic regression models.

Results

PMPU and high PMPU/IPA joint effect scores were significantly associated with depression symptoms in waves 1 (OR 7.36, 95% CI: 5.09, 10.66) and 2 (OR 3.74, 95% CI: 2.56, 5.48). IPA was significantly associated with depression symptoms in wave 1 (OR 1.40, 95% CI: 1.09, 1.79) but not wave 2 (OR 1.24, 95% CI: 0.95, 1.62). PMPU and high PMPU/IPA joint effect scores were also significantly associated with increased depressive symptoms (OR 2.36, 95% CI: 1.55, 3.60).

Conclusions

These results suggest that PMPU is an important factor for depression in college students, and IPA may be a synergistic factor.