Physical activity and sedentary behavior in people with major depressive disorder: A systematic review and meta-analysis

Adherence to 24-h Movement Guidelines and Depressive Status During the Coronavirus Disease Outbreak: A Cross-Sectional Japanese Survey

Objectives: The coronavirus disease 2019 (COVID-19) pandemic has affected people's physical activity, sedentary behavior, and sleep. This study aimed to clarify the association between combining these factors, integrated as adherence to 24-h movement guidelines, and depressive status during the COVID-19 pandemic. Methods: At the end of October 2020, we sent self-administered questionnaires to 1,711 adults aged ≥18. We assessed physical activity, sedentary behavior, sleep duration, adherence to 24-h movement guidelines, depressive status, and confounding factors. Results: Of the 640 valid responses, 90 (14.1%) reported a depressive status. Multivariable odds ratios (95% confidence interval) of depressive status were 0.22 (0.07, 0.71) for all three recommendations of the 24-h movement guidelines and those who met none of the recommendations as reference. The number of guidelines met was associated with depressive status in a dose-response fashion. Conclusion: Meeting the 24-h movement guidelines was associated with a lower prevalence of depressive status during the COVID-19 pandemic. Adults should adhere to these guidelines to maintain their mental health during future quarantine life.

Tracking changes in physical activity during inpatient treatment in a psychiatric clinic in Germany by asking two simple questions

Increasing physical activity is essential to improve psychiatric patients' physical and mental health. This study aimed to characterise the physical activity levels of inpatients in a general psychiatric clinic and to determine the feasibility of using a simple tool in everyday practice to assess physical activity levels in standard patient documentation. We assessed the level of physical activity undertaken by patients treated on an inpatient basis in a psychiatric hospital over 20 months. A total of 328 patients were included in the analysis. Physical activity was measured using a slightly altered version of the Exercise as a vital sign (EVS) questionnaire. All information was extracted from letters of discharge. During inpatient treatment, moderate to vigorous activity levels increased, and more patients engaged in physical activity. Patients with mood or anxiety disorders displayed the most considerable increase in physical activity. Patients with other diagnoses, such as schizophrenia, benefitted less or not at all. Factors associated with physical activity included-among others-history of substance use, education and month of admission. Investigating the feasibility of standardised documentation of physical activity showed fluctuation in documentation rates throughout the study. The level of physical activity performed by psychiatric patients can be increased during inpatient treatment. Implementing physical activity level as part of standard patient documentation is a first step in gathering data to assess the need for interventions to achieve an optimal physical activity in psychiatric patients throughout inpatient treatment.

Physical activity based on dance movements as complementary therapy for Parkinson's disease: Effects on movement, executive functions, depressive symptoms, and quality of life

BACKGROUND

Parkinson's disease (PD) is a progressive, neurodegenerative disease with motor symptoms that are well understood, but non-motor symptoms may be present and appear at different temporal stages of the disease. Physical activity based on dance movements is emerging as a complementary therapeutic approach to a range of PD symptoms as a multidimensional activity that requires rhythmic synchronization and more neuromuscular functions.

OBJECTIVE

To evaluate the effects of physical activity based on dance movements on the movement, executive functions, depressive symptoms, quality of life, and severity of PD in individuals diagnosed with PD.

METHODS

13 individuals with PD (Hoehn & Yahr I-III, MDS-UPDRS 67.62 ± 20.83), underwent physical activity based on dance movements (2x week for 6 months). Participants were assessed at baseline and after 6 months on movement (POMA, TUG and MDS-UPDRS Part III), executive function (FAB), depressive symptoms (MADRS), quality of life (PDQ-39), and severity of PD (MDS-UPDRS TOTAL). Student's t-test was used to compare pre and post-intervention results.

RESULTS

We observed a significant improvement in the movement (balance and gait) by the POMA test, p = 0.0207, executive function by the FAB test, p = 0.0074, abstract reasoning and inhibitory control by the FAB, Conceptualization test, p = 0.0062, and Inhibitory Control, p = 0.0064, depressive symptoms assessed by the MADRS test significantly reduced, p = 0.0214, and the quality of life by the PDQ-39 had a significant increase after the intervention, p = 0.0006, showed significant improvements between the pre-and post-intervention periods of physical activity based on dance movements.

CONCLUSION

Physical activity based on dance movements contributed to significant improvements in movement (balance and gait), executive functions, especially in cognitive flexibility and inhibitory control, and the quality of life too. Sensorimotor integration, most cognitive processing and social skills may have contributed to the results.

TRIAL REGISTRATION

The study was registered in the Brazilian registry of clinical trials: RBR-3bhbrb5.

A Novel Approach to Clustering Accelerometer Data for Application in Passive Predictions of Changes in Depression Severity

The treatment of mood disorders, which can become a lifelong process, varies widely in efficacy between individuals. Most options to monitor mood rely on subjective self-reports and clinical visits, which can be burdensome and may not portray an accurate representation of what the individual is experiencing. A passive method to monitor mood could be a useful tool for those with these disorders. Some previously proposed models utilized sensors from smartphones and wearables, such as the accelerometer. This study examined a novel approach of processing accelerometer data collected from smartphones only while participants of the open-science branch of the BiAffect study were typing. The data were modeled by von Mises-Fisher distributions and weighted networks to identify clusters relating to different typing positions unique for each participant. Longitudinal features were derived from the clustered data and used in machine learning models to predict clinically relevant changes in depression from clinical and typing measures. Model accuracy was approximately 95%, with 97% area under the ROC curve (AUC). The accelerometer features outperformed the vast majority of clinical and typing features, which suggested that this new approach to analyzing accelerometer data could contribute towards unobtrusive detection of changes in depression severity without the need for clinical input.

Individual physical activity, neighbourhood active living environment and mental illness hospitalisation among adults with cardiometabolic disease: a Canadian population-based cohort analysis

OBJECTIVES

This population-based observational study explores the associations between individual-level and neighbourhood-level indices of active living with inpatient mental healthcare use among adults with an underlying chronic cardiometabolic condition.

DESIGN AND SETTING

Data from the 2013-2014 Canadian Community Health Survey were linked longitudinally to hospital records from the 2013/2014‒2017/2018 Discharge Abstract Database and to a geocoded measure of active living environments (ALE). Relationships between individuals' leisure-time physical activity and neighbourhood ALE with risk of hospital admission for mental health disorders were assessed using multivariable Cox regressions.

PARTICIPANTS

A national cohort was identified from the survey data of 24 960 respondents aged 35 years and above reporting having been diagnosed with diabetes, hypertension and/or heart disease.

OUTCOME MEASURE

Potentially avoidable hospitalisation for a mood, anxiety or substance use disorder over a 5-year period.

RESULTS

More than half (52%) of adults aged 35 years and above with a cardiometabolic disease were physically inactive in their daily lives, and one-third (34%) resided in the least activity-friendly neighbourhoods. The rate of being hospitalised at least once for a comorbid mental disorder averaged 8.1 (95% CI: 7.0 to 9.3) per 1000 person-years of exposure. Individuals who were at least moderately active were half as likely to be hospitalised for a comorbid mental health problem compared with those who were inactive (HR: 0.50 (95% CI: 0.38 to 0.65)). No statistically discernible associations between neighbourhood ALE and hospitalisation risks were found after controlling for individuals' behaviours and characteristics, including in separate models stratified by age group and by sex.

CONCLUSIONS

The evidence base to support prioritisation of interventions focusing on the built environment favouring mental health-promoting physical activity among higher-risk adults at the population level, independently of individual-level behaviours and characteristics, remains limited.

Predicting depressive symptoms in middle-aged and elderly adults using sleep data and clinical health markers: A machine learning approach

OBJECTIVES

Comorbid depression is a highly prevalent and debilitating condition in middle-aged and elderly adults, particularly when associated with obesity, diabetes, and sleep disturbances. In this context, there is a growing need to develop efficient screening methods for cases based on clinical health markers for these comorbidities and sleep data. Thus, our objective was to detect depressive symptoms in these subjects, considering general biomarkers of obesity and diabetes and variables related to sleep and physical exercise through a machine learning approach.

METHODS

We used the National Health and Nutrition Examination Survey (NHANES) 2015-2016 data. Eighteen variables on self-reported physical activity, self-reported sleep habits, sleep disturbance indicative, anthropometric measurements, sociodemographic characteristics and plasma biomarkers of obesity and diabetes were selected as predictors. A total of 2907 middle-aged and elderly subjects were eligible for the study. Supervised learning algorithms such as Lasso penalized Logistic Regression (LR), Random Forest (RF) and Extreme Gradient Boosting (XGBoost) were implemented.

RESULTS

XGBoost provided greater accuracy and precision (87%), with a proportion of hits in cases with depressive symptoms above 80%. In addition, daytime sleepiness was the most significant predictor variable for predicting depressive symptoms.

CONCLUSIONS

Sleep and physical activity variables, in addition to obesity and diabetes biomarkers, together assume significant importance to predict, with accuracy and precision of 87%, the occurrence of depressive symptoms in middle-aged and elderly individuals.

Short-term outcomes of physical activity counseling in in-patients with Major Depressive Disorder: Results from the PACINPAT randomized controlled trial

Introduction

A physical activity counseling intervention based on a motivation-volition model was developed and delivered to in-patients with Major Depressive Disorders with the aim of increasing lifestyle physical activity. The aim of this study is to evaluate the short-term outcomes of this intervention.

Methods

A multi-center randomized controlled trial was conducted in four Swiss psychiatric clinics. Adults who were initially insufficiently physically active and were diagnosed with Major Depressive Disorder according to ICD-10 were recruited. The sample consisted of 113 participants in the intervention group (M age = 42 years, 56% women) and 107 in the control group (M age = 40 years, 49% women). Motivation and volition determinants of physical activity were assessed with questionnaires. Implicit attitudes were assessed with an Implicit Association Test. Physical activity was self-reported and measured with hip-worn accelerometers over 7 consecutive days starting on the day following the data collection.

Results

According to accelerometer measures, step count decreased on average 1,323 steps less per day (95% CI = -2,215 to -431, p < 0.01) over time in the intervention group compared to the control group. A trend was recognized indicating that moderate-to-vigorous physical activity decreased on average 8.37 min less per day (95% CI = -16.98 to 0.23, p < 0.06) over time in the intervention group compared to the control group. The initial phase of the intervention does not seem to have affected motivational and volitional determinants of and implicit attitudes toward physical activity.

Conclusion

Physical activity counseling may be considered an important factor in the transition from in-patient treatment. Methods to optimize the intervention during this period could be further explored to fulfill the potential of this opportunity.

Clinical trial registration

https://www.isrctn.com/ISRCTN10469580, identifier ISRCTN10469580.

Day-to-day regularity and diurnal switching of physical activity reduce depression-related behaviors: a time-series analysis of wearable device data

BACKGROUND

Wearable devices have been widely used in research to understand the relationship between habitual physical activity and mental health in the real world. However, little attention has been paid to the temporal variability in continuous physical activity patterns measured by these devices. Therefore, we analyzed time-series patterns of physical activity intensity measured by a wearable device and investigated the relationship between its model parameters and depression-related behaviors.

METHODS

Sixty-six individuals used the wearable device for one week and then answered a questionnaire on depression-related behaviors. A seasonal autoregressive integral moving average (SARIMA) model was fitted to the individual-level device data and the best individual model parameters were estimated via a grid search.

RESULTS

Out of 64 hyper-parameter combinations, 21 models were selected as optimal, and the models with a larger number of affiliations were found to have no seasonal autoregressive parameter. Conversely, about half of the optimal models indicated that physical activity on any given day fluctuated due to the previous day's activity. In addition, both irregular rhythms in day-to-day activity and low-level of diurnal variability could lead to avoidant behavior patterns.

CONCLUSION

Automatic and objective physical activity data from wearable devices showed that diurnal switching of physical activity, as well as day-to-day regularity rhythms, reduced depression-related behaviors. These time-series parameters may be useful for detecting behavioral issues that lie outside individuals' subjective awareness.

Depression and Anxiety Are Associated With Cardiovascular Health in Young Adults

Background Cardiovascular health (CVH) declines in young adulthood, and mood disorders commonly emerge during this life stage. This study examined the association between depression, anxiety, and CVH metrics among young adults. Methods and Results We conducted a cross-sectional analysis of participants aged 18 to 34 years who completed the Emory Healthy Aging Study Health History Questionnaire (n=875). We classified participants as having poor, intermediate, or ideal levels of the 8 CVH metrics using definitions set forth by the American Heart Association with adaptions when necessary. We defined depression and anxiety as absent, mild, or moderate to severe using standard cutoffs for Patient Health Questionnaire and General Anxiety Disorder scales. We used multivariable regression to examine the association between depression and anxiety and CVH, adjusting for age, sex, race and ethnicity, income, and education. The mean participant age was 28.3 years, and the majority identified as women (724; 82.7%); 129 (14.7%) participants had moderate to severe anxiety, and 128 (14.6%) participants had moderate to severe depression. Compared with those without anxiety, participants with moderate to severe anxiety were less likely to meet ideal levels of physical activity (adjusted prevalence ratio [aPR], 0.60 [95% CI, 0.44-0.82]), smoking (aPR, 0.90 [95% CI, 0.82-0.99]), and body mass index (aPR, 0.79 [95% CI, 0.66-0.95]). Participants with moderate to severe depression were less likely than those without depression to meet ideal levels of physical activity (aPR, 0.48 [95% CI, 0.34-0.69]), body mass index (aPR, 0.75 [95% CI, 0.61-0.91]), sleep (aPR, 0.79 [95% CI, 0.66-0.94]), and blood pressure (aPR, 0.92 [95% CI, 0.86-0.99]). Conclusions Anxiety and depression are associated with less ideal CVH in young adults. Interventions targeting CVH behaviors such as physical activity, diet, and sleep may improve both mood and CVH.

Critical review of RDoC approaches to the study of motivation with animal models: effort valuation/willingness to work

The NIMH research domain criteria (RDoC) approach was instigated to refocus mental health research on the neural circuits that mediate psychological functions, with the idea that this would foster an understanding of the neural basis of specific psychiatric dysfunctions (i.e. 'symptoms and circuits') and ultimately facilitate treatment. As a general idea, this attempt to go beyond traditional diagnostic categories and focus on neural circuit dysfunctions related to specific symptoms spanning multiple disorders has many advantages. For example, motivational dysfunctions are present in multiple disorders, including depression, schizophrenia, Parkinson's disease, and other conditions. A critical aspect of motivation is effort valuation/willingness to work, and several clinical studies have identified alterations in effort-based decision making in various patient groups. In parallel, formal animal models focusing on the exertion of effort and effort-based decision making have been developed. This paper reviews the literature on models of effort-based motivational function in the context of a discussion of the RDoC approach, with an emphasis on the dissociable nature of distinct aspects of motivation. For example, conditions associated with depression and schizophrenia blunt the selection of high-effort activities as measured by several tasks in animal models (e.g. lever pressing, barrier climbing, wheel running). Nevertheless, these manipulations also leave fundamental aspects of hedonic reactivity, food motivation, and reinforcement intact. This pattern of effects demonstrates that the general emphasis of the RDoC on the specificity of the neural circuits mediating behavioral pathologies, and the dissociative nature of these dysfunctions, is a valid concept. Nevertheless, the specific placement of effort-related processes as simply a 'sub-construct' of 'reward processing' is empirically and conceptually problematic. Thus, while the RDoC is an excellent general framework for new ways to approach research and therapeutics, it still needs further refinement.

Gradient boosting decision-tree-based algorithm with neuroimaging for personalized treatment in depression

Introduction

Pretreatment positron emission tomography (PET) with 2-deoxy-2-[18F]fluoro-D-glucose (FDG) and magnetic resonance spectroscopy (MRS) may identify biomarkers for predicting remission (absence of depression). Yet, no such image-based biomarkers have achieved clinical validity. The purpose of this study was to identify biomarkers of remission using machine learning (ML) with pretreatment FDG-PET/MRS neuroimaging, to reduce patient suffering and economic burden from ineffective trials.

Methods

This study used simultaneous PET/MRS neuroimaging from a double-blind, placebo-controlled, randomized antidepressant trial on 60 participants with major depressive disorder (MDD) before initiating treatment. After eight weeks of treatment, those with ≤ 7 on 17-item Hamilton Depression Rating Scale were designated a priori as remitters (free of depression, 37%). Metabolic rate of glucose uptake (metabolism) from 22 brain regions were acquired from PET. Concentrations (mM) of glutamine and glutamate and gamma-aminobutyric acid (GABA) in anterior cingulate cortex were quantified from MRS. The data were randomly split into 67% train and cross-validation (n = 40), and 33% test (n = 20) sets. The imaging features, along with age, sex, handedness, and treatment assignment (selective serotonin reuptake inhibitor or SSRI vs. placebo) were entered into the eXtreme Gradient Boosting (XGBoost) classifier for training.

Results

In test data, the model showed 62% sensitivity, 92% specificity, and 77% weighted accuracy. Pretreatment metabolism of left hippocampus from PET was the most predictive of remission.

Conclusions

The pretreatment neuroimaging takes around 60 minutes but has potential to prevent weeks of failed treatment trials. This study effectively addresses common issues for neuroimaging analysis, such as small sample size, high dimensionality, and class imbalance.

Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis

BACKGROUND

Changes in lifestyle, finances and work status during COVID-19 lockdowns may have led to biopsychosocial changes in people with pre-existing vulnerabilities such as Major Depressive Disorders (MDDs) and Multiple Sclerosis (MS).

METHODS

Data were collected as a part of the RADAR-CNS (Remote Assessment of Disease and Relapse-Central Nervous System) program. We analyzed the following data from long-term participants in a decentralized multinational study: symptoms of depression, heart rate (HR) during the day and night; social activity; sedentary state, steps and physical activity of varying intensity. Linear mixed-effects regression analyses with repeated measures were fitted to assess the changes among three time periods (pre, during and post-lockdown) across the groups, adjusting for depression severity before the pandemic and gender.

RESULTS

Participants with MDDs (N = 255) and MS (N = 214) were included in the analyses. Overall, depressive symptoms remained stable across the three periods in both groups. A lower mean HR and HR variation were observed between pre and during lockdown during the day for MDDs and during the night for MS. HR variation during rest periods also decreased between pre- and post-lockdown in both clinical conditions. We observed a reduction in physical activity for MDDs and MS upon the introduction of lockdowns. The group with MDDs exhibited a net increase in social interaction via social network apps over the three periods.

CONCLUSIONS

Behavioral responses to the lockdown measured by social activity, physical activity and HR may reflect changes in stress in people with MDDs and MS. Remote technology monitoring might promptly activate an early warning of physical and social alterations in these stressful situations. Future studies must explore how stress does or does not impact depression severity.

Daily patterns of physical activity, sedentary behavior, and prevalent and incident depression-The Maastricht Study

This study aims to compare the accelerometer-measured daily patterns of PA and sedentary behavior among participants with and without prevalent/incident depressive symptoms. We used data from 5582 individuals in The Maastricht Study (59.9 ± 8.6 years, 50.3% women). Daily patterns of sedentary time, light-intensity physical activity (LiPA), moderate-to-vigorous physical activity (MVPA), and sit-to-stand transitions were objectively measured at baseline with the activPAL3 activity monitor. Depressive symptoms were assessed using the 9-item Patient Health Questionnaire, both at baseline and annually (median follow-up: 5.1 years). General linear models were used to compare patterns of physical activity and sedentary behavior between those with and without prevalent/incident depressive symptoms. Participants with prevalent depressive symptoms had significantly more sedentary time (18.6 min/day) and lower LiPA (26.8 min/day) and MVPA (4.8 min/day) than participants without depressive symptoms. Considering the daily patterns, participants with prevalent depressive symptoms had significantly more sedentary time early in the afternoon (12:00-18:00), early evening (18:00-21:00), and during the night (00:00-03:00), less time in LiPA in all periods between 09:00-21.00 and less MVPA in the morning (09:00:12:00), early afternoon (12:00-15:00), and evening (18:00-21:00), than those without. Similar differences in activity and sedentary behavior patterns between those and without incident depressive symptoms were observed albeit the differences were smaller. Overall, we did not find specific time slots particularly associated with both prevalent and incident depressive symptoms. These findings may indicate that less sedentary time and more intense PA can be important targets for the prevention of depression irrespective of the timing of the day.

Associations Between Physical Activity, Tinnitus, and Tinnitus Severity

OBJECTIVES

To examine the associations between physical activity and tinnitus development and physical activity and tinnitus severity in a large representative sample of US adults.

DESIGN

Data were obtained from 3826 eligible participants (20 to 69 years) in the National Health and Nutrition Examination Survey between 2015 and 2016. Physical activity was assessed using a Global Physical Activity Questionnaire. We used multivariable logistic regression to test the associations of physical activity (without physical activity, with physical activity) and amount of physical activity (min/week, in quartiles) with tinnitus symptoms. Adults with depressive symptoms were excluded, and the models were controlled for relevant sociodemographic, lifestyle, and health-related covariates. A restricted cubic spline was used to explore the dose-response relationship between the amount of physical activity and tinnitus.

RESULTS

Overall, 12.8% of the population who engaged in physical activity reported tinnitus, compared with 18.5% of the population who did not ( p = 0.005). Subgroup analysis based on the amount of physical activity showed that participants who performed physical activity (150 to 300, 310 to 540, and 550 to 4800 min/week) had lower risks of tinnitus than those with no physical activity (odds ratio = 0.72, 0.56, and 0.62, respectively), after adjusting for covariates. However, no correlation was observed between physical activity and tinnitus severity in the present study. The dose-response analysis showed a nonlinear relationship (P for nonlinearity = 0.04) between the amount of physical activity and the risk of tinnitus.

CONCLUSIONS

Physical activity may be associated with a reduced risk of tinnitus. Further research using a longitudinal design is required to confirm these findings and clarify the direction of causation.

Multimorbidity, depression with anxiety symptoms, and decrements in health in 47 low- and middle-income countries

BACKGROUND

Comorbid depression and anxiety is associated with worse health outcomes compared to depression or anxiety occurring in isolation, but there is little data on its association with multimorbidity. Thus, we investigated this association across 47 low- and middle-income countries, and further explored whether having anxiety symptoms in addition to depression is associated with significant declines in health outcomes among those with multimorbidity.

METHODS

Cross-sectional, predominantly nationally representative, community-based data were analyzed from the World Health Survey. DSM-IV depression was assessed with the Composite International Diagnostic Interview. Anxiety symptoms referred to severe/extreme problems with worry or anxiety. Ten chronic conditions and health status across five domains (cognition, interpersonal activities, sleep/energy, self-care, pain/discomfort) were assessed. Multivariable regression analyses conducted.

RESULTS

Data included 237,952 adults aged ≥18 years [mean age (SD) 38.4 (16.0); 50.8 % females]. Compared to no chronic conditions, 2 (OR = 6.86; 95%CI = 5.59-8.42), 3 (OR = 12.33; 95%CI = 9.72-15.63), and ≥4 (OR = 26.55; 95%CI = 20.21-35.17) chronic conditions were associated with significantly higher odds for comorbid depression/anxiety symptoms (vs. no depression or anxiety symptoms) in the multinomial logistic regression model. Among those with depression and multimorbidity, anxiety symptoms were associated with significantly worse health status across all domains.

LIMITATIONS

Cross-sectional design, depression and anxiety symptoms were not based on a clinical assessment.

CONCLUSIONS

Comorbid depression/anxiety is common in people with multimorbidity, and anxiety symptoms in people with depression and multimorbidity signify worse health status. Future studies should assess the utility of screening for and treating comorbid depression/anxiety in patients with multimorbidity in terms of clinical outcomes.

Testing the Feasibility and Acceptability of an Acceptance and Commitment Therapy Intervention to Increase Physical Activity among Individuals with Depression: A Protocol Paper

Background

Engaging in regular physical activity (PA) is particularly important among individuals with depression, who are at heightened risk for a host of negative health outcomes. However, people with depression are 50% less likely to meet national guidelines for PA and face unique barriers to PA adherence, including lower distress tolerance and motivation for exercise. Acceptance and Commitment Therapy (ACT) may offer promise for increasing PA among adults with depressive symptoms due to its effects on distress tolerance and motivation. Therefore, we developed ACTivity, an ACT-based intervention designed to promote PA among low-active adults with elevated depressive symptoms. Prior to testing the efficacy of ACTivity in an RCT, an important first step is to conduct a preliminary trial to establish feasibility of study procedures for the ACTivity and comparison intervention programs, as well as to establish the credibility/acceptability of the intervention. The purpose of this paper is to describe the ACTivity intervention and the design of this feasibility trial.

Method/Design

We will conduct a feasibility RCT with two parallel groups and a 1:1 allocation ratio comparing ACTivity to a comparison intervention (relaxation training + PA promotion) among 60 low-active adults with elevated depressive symptoms. All study procedures will be conducted remotely.

Discussion

Results of this feasibility study will inform a subsequent RCT designed to test the efficacy of ACTivity. If shown to be efficacious, ACTivity will provide a treatment that can be widely disseminated to increase PA among adults with depressive symptoms and thereby decrease their risk for chronic disease.

Adherence to aerobic and muscle-strengthening components of the physical activity guidelines and mental health

Despite a clear distinction between aerobic and muscle strengthening (MS) components in the physical activity guidelines, public health surveillance has largely focused only on aerobic components, limiting the reach of epidemiological research on the physical activity guidelines. Hence, this study investigated the association between adherence to both components (i.e. aerobic and muscle-strengthening) of the World Health Organization’s physical activity guidelines and mental health among the college student population. A cross-sectional study was conducted among a nationally representative sample of Irish college students (7088 participants, M age: 23.17 years; 50.9% female). Participants were categorized as meeting both components of the guidelines (n = 41%), only the aerobic component (n = 25.3%) or the MS component (n = 7.3%), and neither (n = 26.4%). Group membership effects on mental health was determined through mixed univariate ANOVAs, with a Bonferroni correction for post hoc analyses to assess multiple comparisons. Results revealed that meeting both components of the guidelines was significantly (all p &lt; 0.01) associated with greater self-reported happiness, body image and general health, and less mental ill-being, relative to all other respective groupings. Meeting aerobic or MS components in isolation was significantly (p &lt; 0.05) associated with better happiness, general health and body image compared to not meeting either component. To conclude, 59% of the college-aged population are insufficiently active, and adherence to both guideline components is positively associated with mental health. Co-produced, evidence-based, physical activity interventions are needed in students and could contribute to mental health promotion.

Depression and bipolar disorder subtypes differ in their genetic correlations with biological rhythms

Major Depression and Bipolar Disorder Type I (BIP-I) and Type II (BIP-II), are characterized by depressed, manic, and hypomanic episodes in which specific changes of physical activity, circadian rhythm, and sleep are observed. It is known that genetic factors contribute to variation in mood disorders and biological rhythms, but unclear to what extent there is an overlap between their underlying genetics. In the present study, data from genome-wide association studies were used to examine the genetic relationship between mood disorders and biological rhythms. We tested the genetic correlation of depression, BIP-I, and BIP-II with physical activity (overall physical activity, moderate activity, sedentary behaviour), circadian rhythm (relative amplitude), and sleep features (sleep duration, daytime sleepiness). Genetic correlations of depression, BIP-I, and BIP-II with biological rhythms were compared to discover commonalities and differences. A gene-based analysis tested for associations of single genes and common circadian genes with mood disorders. Depression was negatively correlated with overall physical activity and positively with sedentary behaviour, while BIP-I showed associations in the opposite direction. Depression and BIP-II had negative correlations with relative amplitude. All mood disorders were positively correlated with daytime sleepiness. Overall, we observed both genetic commonalities and differences across mood disorders in their relationships with biological rhythms: depression and BIP-I differed the most, while BIP-II was in an intermediate position. Gene-based analysis suggested potential targets for further investigation. The present results suggest shared genetic underpinnings for the clinically observed associations between mood disorders and biological rhythms. Research considering possible joint mechanisms may offer avenues for improving disease detection and treatment.

Association between Locomotive Syndrome and Physical Activity in Long-Term Inpatients of Psychiatric Care Wards in Japan: A Preliminary Study

The aim of this cross-sectional study was to determine the status of locomotive syndrome (LS) and the level of physical activity (PA) in long-term inpatients in a psychiatric care ward and to investigate the association between the severity of LS and the level of PA. The study participants consisted of 25 patients aged 55 years or older who had been admitted to a psychiatric care ward for more than one year. The participants’ LS stage was determined and their level of PA was measured using an accelerometer. We also analyzed the correlations between the LS stage test results, level of PA, and values for each assessment item. The LS stage test showed that 84.0% of the participants were at stages 3. The participants’ mean step count was 3089.8 ± 2346.5 steps. The participants’ mean sedentary time was 349.7 ± 68.9 min, which is more than 70% of the total measuring time. Overall, the results indicate that LS stage was significantly correlated to age, ADL, and level of PA. Patients who stay in a psychiatric care ward experience declining motor functioning and lack PA. Deterioration of motor functioning is associated with lack of PA, suggesting the need for physical intervention.

The Role of Physical Activity in the Reduction of Generalised Anxiety Disorder in Young Adults in the Context of COVID-19 Pandemic

Physical activity is critically important not only for physical but also for mental health. Exercise may be a beneficial form of therapy for young adults with anxiety disorders. The global outbreak of the COVID-19 pandemic adversely affected the public, including young adults, in terms of their mental well-being and opportunities for physical activity. The study aimed to identify the influence of physical activity (PA) on generalised anxiety in young adults. It also assessed the changes which occurred in the level of PA and in generalised anxiety in young adults as a result of COVID-19 pandemic. A cross-sectional survey was carried out online with 506 young adults aged 18 to 34 years (=24.67 years ± 4.23 years). Respondents provided two answers to each question, i.e., information relating to the last 7 days during the pandemic (first hard lockdown), and to a period of 7 days before the pandemic (retrospective). The levels of physical activity were measured using 7-item International Physical Activity Questionnaire-Short Form (IPAQ-SF), whereas the level of generalised anxiety was assessed using the Generalised Anxiety Disorder 7 (GAD-7) questionnaire. During the pandemic there was a significant correlation between the level of generalised anxiety and the level of physical activity reported by the respondents (p = 0.048). A higher level of physical activity corresponded to lower level of generalized anxiety in young adults. During the pandemic, young adults spent significantly less time performing physical activity (8752.5 vs. 6174.6 metabolic equivalents (MET) min/week, p < 0.001), they spent more time engaging in sedentary behaviours (Me = 240 vs. Me = 300 min/day, p < 0.001), and they walked much less (from Me = 6930.0 (MET) min/week vs. 3861.0 (MET) min/week (44.29% decrease). Furthermore, after the outbreak of the pandemic the level of perceived generalised anxiety increased significantly (p < 0.001). Physical activity may play an important role in reducing anxiety disorder in young adults. During the COVID-19 pandemic young adults were significantly less involved in PA, which adversely affected their physical and mental condition. The importance of sufficient PA should be emphasised during this specific period, particularly among young adults.

Psychological distress and health behaviours among Cambodian Americans at risk for developing diabetes

This paper reports secondary data analysis of associations between psychological distress and health behaviours among Cambodian Americans. Data are from baseline assessments from a diabetes prevention trial. All participants met stucriteria for depression and were free of diabetes. Participants (n = 191) completed surveys, a food frequency assessment, and wore sleep and physical activity actigraphy devices for 7 days. A factor analysis of symptoms of post-traumatic stress, baksbat (a Cambodian culture-bound syndrome), depression, and anxiety yielded a single factor named 'psychological distress'. Multivariate models controlling for psychotropic medications were run for the following outcomes: sleep actigraphy, self-reported sleep, physical activity actigraphy, self-reported physical activity, nutrition, and substance use. For actigraphy, higher distress was associated with lower moderate/vigorous physical activity and higher mean variability of 24 h total sleep time. Higher distress was also associated with worse self-reported sleep quality as indicated by standard, and culturally-specific, sleep indicators. Higher distress was also associated with lower use of food labels, lower carbohydrate consumption, and higher alcohol consumption as a coping mechanism. Interventions to mitigate diabetes risk in high-distress populations may benefit from strategies to decrease psychological distress. The sequelae of complex trauma may transcend discrete psychiatric diagnoses.

No travel worsens depression: reciprocal relationship between travel and depression among older adults

BACKGROUND

The aim of this study was to examine the bidirectional relationship between depression and travel.

METHOD

We analyzed 8524 participants' data obtained from the 2008 to 2016 waves of the Korean Longitudinal Study of Ageing, a prospective cohort study. Depression was diagnosed using the Center for Epidemiological Studies Depression Scale: 10-Items (CES-D10), with scores of 4 or higher indicating depression. We used a generalized estimating equation and a cross-lagged panel model for statistical analysis.

RESULTS

Participants who had not traveled for one year had a 71% higher risk of suffering from depression in the following year than did those who had traveled [relative risk (RR) = 1.71, P < 0.001], and participants with depression had more than double the increased risk of not traveling than did those not currently suffering from depression (RR = 2.08, P < 0.001). The cross-lagged panel model confirmed the vicious cycle involving the amount of travel and score on the CES-D10; individuals who traveled more frequently were more likely to have lower scores on the CES-D10 (coefficient = - 0.04 to - 0.03, Ps < 0.01), and individuals with higher scores were less likely to travel (coefficient = - 0.06 to - 0.03, Ps < 0.01).

CONCLUSIONS

The risk of depression increases for people who do not travel, and a reciprocal relationship exists between travel and depression.

Association between gestational depression and weight management behaviors during pregnancy: A cross-sectional study in Eastern China

An undesirable psychological state may deteriorate individual's weight management-related behaviors. This study aims to see if ineffective weight control measures were linked to depressive symptoms during pregnancy. We conducted a cross-sectional questionnaire survey of 784 pregnant women and collected information on sociodemographic factors, maternal characteristics, depression, and weight management activities throughout pregnancy (exercise management, dietary management, self-monitoring regulation, and management objectives). About 17.5% of pregnant women exhibited depressive symptoms. The mean score on dietary management was upper-middle, exercise management and self-monitoring regulation were medium, and management objectives were lower-middle. Multivariable linear regression analysis revealed that pregnant women with depressive symptoms had lower levels of exercise management (β = -1.585, p = 0.005), dietary management (adjusted β = -0.984, p = 0.002), and management objectives (adjusted β = -0.726, p = 0.009). However, there was no significant relationship between depressive symptoms and pregnant women's self-monitoring regulating behavior (p > 0.05). The findings indicated the inverse association between depressive symptoms and gestational weight management behaviors. These results offer important indications for pregnancy weight management professionals by highlighting the need for mental health interventions for pregnant women experiencing depressive symptoms.

Leisure-time physical activity and risk of depression: A dose-response meta-analysis of prospective cohort studies

BACKGROUND

There has never been a dose-response meta-analysis of the relationship between physical activity and the risk of depression. Hence, we aimed to explore the dose-response relationship between leisure-time physical activity (LTPA) and the risk of depression through a meta-analysis to provide a basis for the prevention of depression.

METHODS

PubMed and Web of Science databases were searched using a computer to collect prospective cohort studies on the relationship between LTPA and depression between January 1997 and July 2021. A dose-response meta-analysis was performed using the Stata 14 software to calculate the combined effect size relative risk (RR and 95% confidence interval CI).

RESULTS

Twelve cohort studies included 310,359 subjects who met the inclusion criteria. The categorical dose-response analysis results showed that the risk of incident depression was 27%, 17%, and 8% lower for the light, moderate, and highest dose LTPA participants, respectively (RR: 0.73, 95% CI: 0.64-0.82; RR: 0.83, 95% CI: 0.78-0.87; RR: 0.92, 95% CI: 0.86-0.99), compared with the lowest LTPA category. Continuous dose-response analysis showed a nonlinear relationship between LTPA and the risk of incident depression (P = .04). The risk of incident depression was reduced by 3% (RR: 0.97, 95% CI: 0.95-0.98) for every 5 MET-h/week increase in LTPA < 25 MET-h/week; when LTPA was higher than 25 MET-h/week, a 4% increase in the risk of depression for every 5 MET-h/week increase was observed (RR: 1.04, 95% CI: 1.02-1.05).

CONCLUSIONS

There was a nonlinear relationship between LTPA and the risk of incident depression. Moderate and low doses of LTPA were protective factors in preventing the risk of incident depression, while high doses of LTPA may increase the risk of incident depression.

A Cross-Sectional Study on the Associations between Physical Activity Level, Depression, and Anxiety in Smokers and Ex-Smokers

Introduction: depression and anxiety is one of the most relevant public health problems. The link between smoking and depression has been demonstrated. Regular physical activity (PA) could act as a protector against mental health diseases. Objectives: (1) to explore the prevalence of depression and anxiety in relation to sex and to the condition of smoker and ex-smoker, (2) to study the differences in prevalence proportions according to the frequency and level of PA, and (3) to calculate the probability of presenting depression or anxiety according to the frequency and level of PA. Methods: a cross-sectional study was conducted, based on data extracted from the 2014 and 2020 Spanish European Health Survey and the 2017 Spanish National Health Survey. The sample included 9524, 7813, and 9079 participants, respectively. Descriptive analysis was performed (comparisons using a Chi-square test and z-test for independent proportions). Probability odds ratios of anxiety and depression were calculated according to PA. Results: women had a higher prevalence of depression and anxiety than men (p < 0.001−0.003). Higher levels of prevalence were observed in inactive people versus very active or active people (p < 0.001). Inactive people had a higher risk of depression and anxiety compared to very active people. Conclusion: inactive smokers and ex-smokers had higher levels of prevalence of depression and anxiety than active and very active people. Physical inactivity could increase the risk of suffering these mental disorders in this population. This could affect women more than men.

Self-care of hypertension of older adults during COVID-19 lockdown period: a randomized controlled trial

Background

COVID-19 pandemic has aggravated chronic diseases and health disparities especially hypertension because it is more common among vulnerable populations such as older adults.

Objective

This study aimed to examine the effects of a public health nursing intervention plus m-Health applications for hypertension management on enhancing the self-care, systolic and diastolic of blood pressure, and quality of life in older adults during the lockdown period in Jordan.

Methods

A randomized, controlled trial design was performed in Jordan. A total of 120 participants were randomly allocated to three groups (n = 40); interventional group (public health nursing interventions plus m.Health applications) and two control groups (m.Health applications alone group and standard care group).

Results

After 3 months, the interventional group show significantly decreased in systolic blood pressure − 14 (F = 16.74, P = 0.001), greater improvement in self-care maintenance, monitoring, and confidence (+ 30, + 17.75, + 40.27; P < 0.01, respectively) compared to the two control groups. Greater improvement in role limitations due to physical health and due to emotional problems, pain, energy/fatigue, emotional well-being, and social functioning of quality of life (P < 0.05) compared to the standard care group. No statistical significant difference was found in diastolic blood pressure (F = 3.91, P = 0.141), physical functioning (P = 0.613), and general quality of life (P = 0.060).

Conclusions

This study supports the adoption of technology with nursing intervention as a method of supporting continuity of self-management of chronic illness during the pandemic, and its potential implications for future delivery of health care, not just in Jordan, but across the world.

Trial registration

Clinical Trial.gov (ID NCT04992000). Registered August 12, 2021.

Physical exercise, depression, and anxiety in 2190 affective disorder subjects

BACKGROUND

This study evaluated associations of PE with symptomatic status in mood and anxiety disorder subjects, and considered many other associated factors so as to expand on comparable previous studies.

METHODS

Consenting adults at a mood disorder center were assessed for associations of PE frequency ([never, past only, ≤once/week] vs. regularly at 2-3- or >3-times/week) with standard psychometric measures of depression and anxiety symptoms, selected demographic, clinical factors, using bivariate and multivariate methods.

RESULTS

Of 2190 subjects (58.8% women; mean age 42.6 years; 44.8% with major depressive, 40.6% bipolar, and 14.6% anxiety disorders), 22.5% currently engaged in regular PE. Such engagement was associated with lower morbidity ratings, youth, male sex, being unmarried, more education, higher socio-economic status (SES), less religious practice, less early abuse, younger age at illness onset and at intake, fewer years ill, lower BMI, fewer siblings, hyperthymic temperament, less time depressed before intake, and living at higher population density. Greater PE-frequency was associated with lower ratings of depression (but not anxiety), male sex, younger age, and lower BMI. Factors independently associated with PE in multivariate modeling ranked by significance: older age at intake ≥ lower BMI > more education > higher SES > male sex.

LIMITATIONS

PE assessment did not include type, intensity or duration. Some information provided may be subject to recall bias, though it should not affect comparisons among subjects.

CONCLUSION

Regularly repeated PE again appeared to be beneficial for patients with depression or anxiety and should be included in their treatment interventions.

Childhood maltreatment and depressive symptoms among Chinese college students: A moderated mediation model of adult attachment styles and physical activity

BACKGROUND

Previous research has investigated the independent effects of childhood maltreatment, adult attachment, and physical activity, on depressive symptoms. However, explanatory mechanisms linking childhood maltreatment to current depressive symptoms are poorly understood. This study investigated the mediating role of adult attachment between childhood maltreatment and depressive symptoms among college students and explored the moderating effect of physical activity in the mediating pathway.

METHODS

The data for the present study were gathered in three waves with 6-month lags. A total of 3662 Chinese college students completed anonymous questionnaires concerning demographic variables, childhood maltreatment, and depressive symptoms in Wave 1, adult attachment and physical activity in Wave 2, and depressive symptoms in Wave 3.

RESULTS

Childhood maltreatment and adult attachment were significantly associated with depressive symptoms, identifying a mediating role of adult attachment in the relationship between childhood maltreatment and depressive symptoms, and a moderating role of physical activity between attachment anxiety and depressive symptoms in the mediating pathway.

LIMITATIONS

This study utilized self-reported questionnaires for data collection purposes, which could constitute key study limitations.

CONCLUSIONS

These findings highlight the need to consider early stress factors (childhood maltreatment), social psychological factors (adult attachment), and potential protective factors (physical activity) simultaneously when evaluating the occurrence and development of depressive symptoms.

Effects of Mood Regulation on Sociodemographic Status, Exercise Pattern, and Physical Conditions of Chinese Adults and the Elderly

Objective

This study focused on mood regulations and their association with sociodemographic status, exercise pattern, and physical conditions of adults and older adults in China who did not undergo interventions.

Method

Data were based on the 2016 to 2018 Guangdong National Physique Monitoring data, in which 5242 participants aged 20-69 years were recruited. Multiple statistical analysis methods, such as descriptive and logistic regression analyses, were used to study each exercise motivation and its association with influencing factors, including sociodemographic characteristics, exercise measurements, and physical conditions. An exercise index for mental health was also used to investigate the number and types of people who were more likely to meet the index.

Results

We observed that 44.9% (2355/5242) of participants did not engage in physical exercise in this study. Only older participants (40 to 69 years old) and those with an average level of education (high school/technical secondary school) showed a significant association with exercising for mood regulation. Few people met the index that is good for mental health (16.64% [872/5242] met index 1, and 2.84% (149/5242) met index 2), and higher education showed a significant association with a reduction in the mental health burden and the prevention of depression.

Conclusion

This study found that motivating people to be more active and educating them on the potential mental health benefits of exercise could help them to exercise more.

Symptoms of depression are related to sedentary behavior and sleep duration in elderly individuals: A cross-sectional study of 49,317 older Chinese adults

OBJECTIVE

Depression is a common mental disorder in older adults. This study aimed to determine the incidence of depression and the relationship between sedentary behavior and sleep duration in elderly individuals.

METHOD

A total of 49,317 elderly adults from eight health centers in six Chinese provinces completed an online self-reported health questionnaire. Logistic regression was used to explore the association between sedentary behavior, sleep duration, and depression symptoms.

RESULTS

Symptoms of depression were present in 20.1% of older adults. Sedentary behaviors for >6 h/day (OR = 3.16; 95% CI: 2.90-3.44; p < 0.001) were a greater risk factor for depressive symptoms in older adults than sedentary behaviors for less than 3 h/day. Elderly individuals with short sleep durations (<7 h/day) were more likely to experience depression (OR = 2.20; 95% CI: 2.07-2.34; p < 0.001).

CONCLUSION

This study suggested that sedentary behavior and short sleep duration in older Chinese adults are associated with depressive symptoms. In China, further improvement of the mental health and lifestyle of elderly individuals may be warranted.

The mediating roles of sleep quality and sedentary behavior between physical fitness and depression among female college freshmen

Objective: This study aimed to investigate interactions among physical fitness, sleep quality, sedentary behavior, and depression among female college freshmen. Participants: A cohort of 1,514 Chinese female college freshmen (M_age = 18.8 ± .63) were recruited from four universities. Methods: Participants completed a survey assessing depression, sleep quality (sleep duration and sleep onset latency), and sedentary behavior, and performed physical fitness measurements. Results: Physical fitness indexes were associated with sleep quality and sedentary behavior (ps < .05) but not with depression. Depression was positively associated with sedentary behavior and sleep onset latency, but negatively associated with sleep duration (ps < .01). The model tests revealed that sleep quality (β = -.57, p < .01) and sedentary behavior (β = .14, p < .01) served as mediators between physical fitness and depression, respectively. Conclusions: Increasing sleep quality and minimizing sedentary behavior may build resilience to depression among Chinese female college freshmen.

THE CULTURAL ADAPTATION, RELIABILITY AND VALIDITY OF THE TURKISH VERSION OF THE SIMPLE PHYSICAL ACTIVITY QUESTIONNAIRE IN COMMON MENTAL DISORDERS

Purpose: The aim of this study is to evaluate the validity and reliability of the Turkish version of the Simple Physical Activity Questionnaire (SIMPAQ) in patients with common mental disorders. Methods: A total of eighty-one patients (mean age: 40.14 ± 13.05 years) were included in this study. The Turkish version of the SIMPAQ was used to evaluate the physical activity levels and sedentary behaviors of the participants. To be used as descriptive data, DSM-5 Level 1 Cross-Cutting Symptom Measure-Adult was used to evaluate mental health symptomatology. International Physical Activity Questionnaire-Short Form (UFAA-SF) and Brief Psychiatric Rating Scale (BPRS) were used to test validity of the questionnaire. Results: The items of Turkish version of the SIMPAQ exhibited excellent intercorrelation coefficient (ICC) values (time spent in bed (0.93 (95% CI: 0.90-0.96)), sedentary time 0.87 (95% CI: 0.80-0.92), walking time 0.98 (95% CI: 0.98-0.99), exercise time 0.99 (95% CI: 0.99-0.99), and incidental activity time 0.95 (95% CI: 0.92-0.97)). However, the BPRS had a significant correlation with only the sedentary time of the SIMPAQ (rho=0.25, p=0.02), indicating convergent validity was poor. Conclusion: The Turkish version of the SIMPAQ is semantically and linguistically adequate to quickly assess physical activity level and sedentary behavior in patients with common mental disorders.

A qualitative analysis of facilitators and barriers to physical activity among patients with moderate mental disorders

Aim

The current study aims to qualitatively identify determinants, barriers and facilitators of physical activity among a population with mental health disorders.

Subject and methods

Seventeen participants with moderate mental disorders were recruited. Semi-structured interviews were conducted to identify physical activity facilitators and barriers. Data were organized and analysed in ATLAS.ti, mainly based on a generic qualitative research approach.

Results

Most participants found physical activity important and expressed a positive attitude towards it. In general, higher self-efficacy and more social support were beneficial for participants' physical activity levels. Reasons/facilitating factors to be more physically active were: having fun, good weather, progress, routine, self-compassion and a stimulating environment. Barriers were not having fun, being busy, mental complaints, lack of energy, procrastination and physical complaints.

Conclusion

Future interventions could promote physical activity among people with moderate mental disorders to help them identify and overcome barriers. The newly identified determinant 'self-compassion' could be an interesting target for promoting physical activity in this group of people with moderate mental disorders.

Do Adults Who Practice Aerobic Physical Activities Have Different Influencing Factors for Depression: A Secondary Data Analysis

Practice in aerobic activities can positively impact depression. This study aimed to identify differences between adults who do and do not practice aerobic activities in terms of general, physical, and psychological factors that influence depression. This study comprised a secondary analysis of data from the 6th (year 2) and 7th (years 1, 3) editions of the Korea National Health and Nutrition Examination Survey. Data from 12,891 adults were analyzed, of whom 7148 reported no practice in aerobic physical activities and 5743 reported practicing such activities. Data were analyzed using SPSS 25. Among those who did not perform aerobic activities, gender, family income, marital status, obesity, frequency of drinking, subjective health, subjective body weight, and stress were found to influence the level of depression. For those who practiced aerobic activities, gender, age, family income, education level, marital status, blood pressure, hypercholesterolemia status, frequency of drinking, subjective health, subjective body weight, and stress influenced the level of depression. This study found that the factors affecting depressive symptoms differ depending on whether individuals practice aerobic activities. Thus, to reduce depressive symptoms among adults, it is necessary to consider their level of physical activity and target the influencing factors associated with this level.

Physical multimorbidity and depression: A mediation analysis of influential factors among 34,129 adults aged ≥50 years from low- and middle-income countries

BACKGROUND

There is a scarcity of literature on the association between physical multimorbidity (i.e., ≥2 chronic physical conditions) and depression among older adults, especially from low- and middle-income countries (LMICs). In addition, the mediators in this association are largely unknown. Therefore, we aimed to examine this association among adults aged ≥50 years from six LMICs (China, Ghana, India, Mexico, Russia, and South Africa), and to identify potential mediators.

METHODS

Cross-sectional, nationally representative data from the Study on Global Ageing and Adult Health were analyzed. Depression was defined as past-12 months DSM-IV depression or receiving depression treatment in the last 12 months. Information on 11 chronic physical conditions were obtained. Multivariable logistic regression and mediation analyses were conducted.

RESULTS

Data on 34,129 individuals aged ≥50 years were analyzed [mean (SD) age 62.4 (16.0) years; maximum 114 years; 52.1% females]. Compared to no chronic conditions, 2, 3, 4, and ≥5 chronic conditions were associated with 2.55 (95% CI = 1.90-3.42), 3.12 (95% CI = 2.25-4.34), 5.68 (95% CI = 4.02-8.03), and 8.39 (95% CI = 5.87-12.00) times higher odds for depression. Pain/discomfort (% mediated 39.0%), sleep/energy (33.2%), mobility (27.5%), cognition (13.8%), perceived stress (7.3%), disability (6.7%), loneliness (5.5%), and food insecurity (1.5%) were found to be significant mediators in the association between physical multimorbidity and depression.

CONCLUSIONS

Older adults with physical multimorbidity are at increased odds of depression in LMICs. Future studies should assess whether addressing the identified potential mediators in people with physical multimorbidity can lead to reduction in depression in this population.

Physical Activity and Exercise Addiction During the Covid-19 Pandemic in Italy

Severe restrictive measures were implemented globally to limit the spread of the Covid-19 pandemic leading to significant lifestyle changes and impacting on both the physical and the mental health of citizens. Caught by the fear of getting sick, some individuals have adopted behaviors which favored the development of exercise addiction (EA). Our aim was to evaluate physical activity habits and the risk of EA in the general Italian population during phase 1 of the lockdown. The role of appearance anxiety (AA), self-compassion, and use of performance and image enhancing drugs (PIEDs) as predictors of EA development were investigated. A comparison between physically active subjects with the inactive ones was also included. Between April and May 2020, an online survey was conducted across Italy. Nine hundred thirty-six answers were collected. The rate of EA in the physically active sample (782 subjects) was 4.1%. The physically active group showed higher SCS scores and a greater use of PIEDs. Of the physically active participants, 84.2% reported variations in their fitness routine. Perceived benefit of exercising resulted significantly higher in those with EA. Subjects with EA reported stronger motivation in engaging in physical activity as for "physical wellness," "psychological well-being," and "sexual attractiveness and confidence in relationship." A higher level of AA, a lower level of self-compassion, and a higher perceived benefit of exercising during lockdown were all significant predictors for the presence of EA. Our findings suggest that the fear of getting sick from Covid-19, combined with radical changes in the lifestyles induced by the lockdown and individual personological characteristics, can favor the development of EA and related phenomena in the general population.

Physical Activity Intensity and Suspected Dementia in Older Japanese Adults: A Dose-Response Analysis Based on an 8-Year Longitudinal Study

Background: Moderate- to vigorous-intensity physical activity (PA) may reduce the risk of dementia; however, few studies have examined the effects of PA intensity on dementia risk. Objective: To prospectively examine the dose-response relationship of PA intensity with the incidence of suspected dementia in community-dwelling older adults. Methods: We conducted a baseline mail survey with an 8-year follow-up of 3,722 older adults in Japan. We assessed PA levels using the International Physical Activity Questionnaire short form and calculated the amount of time per week spent performing moderate- and vigorous-intensity PA (VPA). Information regarding suspected dementia was obtained from the city database during the follow-up period. Cox proportional-hazard models with age as time scale, and delayed entry and restricted cubic spline regression as variables were used to estimate risk of developing suspected dementia, excluding cases occurring <  1 year after baseline evaluation. Results: The cumulative incidence of suspected dementia during the follow-up period was 12.7% . Compared with those who did not practice moderate-intensity PA (MPA), those who practiced≥300 min (hazard ratio, 0.73; 95% confidence interval 0.56–0.95) of MPA showed a lower risk of developing suspected dementia. Furthermore, when the dose-response relationship was examined, the hazard of developing suspected dementia decreased almost linearly with MPA. A significantly lower hazard was observed from 815 minutes/week. There was no significant association between VPA and suspected dementia. Conclusion: This study suggested that MPA is often practiced in older adults and this PA intensity has a sufficiently favorable effect on dementia prevention.

Association Between Step Count Measured With a Smartphone App (Pain-Note) and Pain Level in Patients With Chronic Pain: Observational Study

Background

Chronic pain is the leading cause of disability, affecting between 20% and 50% of the global population. The key recommended treatment is physical activity, which can be measured in daily life using a pedometer. However, poor adherence to pedometer use can result in incorrect measurements. Furthermore, only a few studies have investigated a possible curvilinear association between physical activity and chronic pain.

Objective

In this study, we developed the Pain-Note smartphone app to collect real-world data on step count, using the smartphone’s built-in pedometer. The aims of our research are (1) to evaluate the association between daily step count and pain level among patients with chronic pain and (2) determine if the association between daily step count and pain level was curvilinear.

Methods

We conducted a cross-sectional study based on step count data collected with the app and on the results of questionnaires, which measured the duration and intensity of pain, the widespread pain index, the symptom severity score, and the insomnia severity scale, including 7 questions for symptoms of depression. We analyzed the association between step count and pain level as a nonlinear relationship using a restricted cubic spline model. A prespecified subgroup analysis was also conducted based on fibromyalgia criteria.

Results

Between June 1, 2018, and June 11, 2020, a total of 6138 records were identified, of which 1273 were analyzed. The mean age of the participants was 38.7 years, 81.9% (1043/1273) were female, and chronic pain was present for more than 5 years in 43.2% (550/1273) of participants. Participants in the third and fourth quartiles for step count (more than 3045 and 5668 steps a day, respectively) showed a significant positive association between higher step count and lower numerical pain rating scale (mean difference –0.43, 95% CI –0.78 to –0.08, P=.02; –0.45; 95% CI –0.8 to –0.1, P=.01, respectively) than those in the first quartile (less than or equal to 1199 steps a day). The restricted cubic spline model for the association between step count and pain scale displayed a steep decline followed by a moderate decrease as the step count increased; the inflection point was 5000 steps. However, this association was not observed among participants who met the fibromyalgia criteria (491/1273), who showed a steep positive increase below 2000 steps. Data were collected between June 1, 2018, and June 11, 2020, and were analyzed on November 18, 2021.

Conclusions

Step count measured with the Pain-Note app showed a nonlinear association with pain level. Although participants with and without fibromyalgia showed a negative correlation between step count and pain level, participants who meet the criteria for fibromyalgia may present a different relationship between walking and pain perception compared to those in the general chronic pain population.

Investigation of physical activity, sleep, and mental health recovery in treatment resistant depression (TRD) patients receiving repetitive transcranial magnetic stimulation (rTMS) treatment

Background

Repetitive transcranial magnetic stimulation (rTMS) is effective in treating depression; however, the effect on physical activity, sleep and recovery is unclear. This study investigated rTMS effect on physical activity and sleep through providing patients with a Fitbit and software apps; and reports the impact of rTMS on depression, anxiety and mental health recovery.

Methods

Study design was a pre and post data collection without a control, with twenty-four participants with treatment-resistant depression (TRD). Measures used were Fitbit activity and sleep data, and patient-rated Recovering Quality of Life (ReQoL-20), Patient Health Questionnaire (PHQ-9) and Generalised Anxiety Disorder (GAD-7).

Results

Response and remission rates were, respectively: 34.8% and 39% for PHQ-9; 34.8% and 47.8% for GAD-7. ReQoL-20 response and reliable improvement were 29.4% and 53%. PHQ-9, GAD-7 and ReQol-20 scores significantly improved, with large effect sizes. Analysis of Fitbit activity and sleep data yielded non-significant results. The Fitbit data machine learning model classified two levels of depression to 82% accuracy.

Limitations

rTMS treatment was open-label and adjunct to existing antidepressant medication. No control group. Female patients were overrepresented.

Conclusions

Improvements on the ReQoL-20 and aspects of sleep and activity indicate the positive impact of rTMS on the individual's real world functioning and quality of life. A wearable activity tracker can provide feedback to patients and clinicians on sleep, physical activity and depression levels. Further research could be undertaken through a sufficiently powered RCT comparing rTMS versus rTMS with use of a Fitbit, its software applications, and sleep and physical activity advice.

Adolescents' Long-Term Experiences of Manageability, Comprehensibility, and Meaningfulness of a Group-Based Exercise Intervention for Depression

Physical exercise is a potentially effective treatment for adolescents with mild to moderate depression. However, there is a lack of long-term follow-ups to reveal adolescents’ experiences of exercise as a treatment for depression. The salutogenic concept of sense of coherence (SOC), comprising the domains manageability, comprehensibility, and meaningfulness is important to understand behaviour change. This study aimed to describe adolescents’ long-term experiences of manageability, comprehensibility, and meaningfulness of a group-based exercise intervention for depression. Fourteen adolescents with persistent depression were recruited from a psychiatric outpatient clinic and interviewed one year after participating in a 14-week moderate to vigorous exercise intervention for depression. An abductive qualitative content analysis was conducted, based on the three SOC domains manageability, comprehensibility, and meaningfulness. The results revealed that participation in the intervention was made manageable by a supportive environment, including: the intervention design, togetherness with peer group, and encouragement from adults. The comprehensibility of the intervention emerged through the insights regarding health benefits of exercise and the aim of the intervention. Meaningfulness was achieved through improved health behaviour, well-being and self-esteem, along with strengthened belief in the future and increased commitment to everyday life. The group-based exercise intervention was experienced as manageable, comprehensible, and meaningful.

Concurrent and prospective associations between fitbit wearable-derived RDoC arousal and regulatory constructs and adolescent internalizing symptoms

BACKGROUND

Adolescence is characterized by alterations in biobehavioral functioning, during which individuals are at heightened risk for onset of psychopathology, particularly internalizing disorders. Researchers have proposed using digital technologies to index daily biobehavioral functioning, yet there is a dearth of research examining how wearable metrics are associated with mental health.

METHODS

We preregistered analyses using the Adolescent Brain Cognitive Development Study dataset using wearable data collection in 5,686 adolescents (123,862 person-days or 2,972,688 person-hours) to determine whether wearable indices of resting heart rate (RHR), step count, and sleep duration and variability in these measures were cross-sectionally associated with internalizing symptomatology. All models were also run controlling for age, sex, body mass index, socioeconomic status, and race. We then performed prospective analyses on a subset of this sample (n = 143) across 25 months that had Fitbit data available at baseline and follow-up in order to explore directionality of effects.

RESULTS

Cross-sectional analyses revealed a small, yet significant, effect size (R²  = .053) that higher RHR, lower step count and step count variability, and greater variability in sleep duration were associated with greater internalizing symptoms. Cross-lagged panel model analysis revealed that there were no prospective associations between wearable variables and internalizing symptoms (partial R²  = .026), but greater internalizing symptoms and higher RHR predicted lower step count 25 months later (partial R²  = .010), while higher RHR also predicted lower step count variability 25 months later (partial R²  = .008).

CONCLUSIONS

Findings indicate that wearable indices concurrently associate with internalizing symptoms during early adolescence, while a larger sample size is likely required to accurately assess prospective or directional effects between wearable indices and mental health. Future research should capitalize on the temporal resolution provided by wearable devices to determine the intensive longitudinal relations between biobehavioral risk factors and acute changes in mental health.

Prospective Associations Between Fathers' Engagement in Infant Caregiving and Their Weight-Related Behaviors and Mental Health

Fathers’ engagement in infant caregiving is linked with positive social, emotional, and developmental outcomes in children; however, its relationship with fathers’ own health is largely unknown. This longitudinal study examined associations between fathers’ caregiving engagement with their 6-month-old infants and their physical activity, sugar-sweetened beverage (SSB) consumption, nighttime sleep duration, and depressive symptoms 6 months later when infants were 12 months old. Participants were 143 fathers of infants (62.7% non-Hispanic White, 82.3% with a bachelor’s degree). Fathers reported their frequency of engagement in seven caregiving activities when infants were 6 months old. Fathers’ physical activity, SSB consumption, nighttime sleep duration, and depressive symptoms were assessed when infants were 6 and 12 months old. Multivariate logistic regression analysis was used to assess if fathers who reported higher infant caregiving at 6 months had more positive health outcomes at 12 months, controlling for fathers’ age, race/ethnicity, education, employment, household income, and the outcome at 6 months. Fathers who reported higher caregiving engagement when infants were 6 months old had increased odds of being sufficiently physically active 6 months later (unadjusted odds ratio [OR] = 1.19, 95% confidence interval [CI] = [1.00, 1.41]; adjusted OR = 1.47, 95% CI = [1.11, 1.96]). No links were identified between fathers’ caregiving engagement and their SSB consumption, nighttime sleep duration, or depressive symptoms. In summary, fathers’ engagement in infant caregiving may be beneficial to their physical activity in the first year after birth. There was insufficient evidence in this study that the benefits of caregiving engagement were experienced broadly across multiple health outcomes.

A Within-Subject Before-After Study of the Impact of Antidepressants on Hemoglobin A1c and Low-Density Lipoprotein Levels in Type 2 Diabetes

PURPOSE/BACKGROUND

Data on the effect of treatment with antidepressant drugs on metabolic control in diabetes are sparse. In this controlled within-subject before-after study, the impact of initiation and discontinuation of antidepressant treatment on hemoglobin A1c (HbA1c) and low-density lipoprotein (LDL) levels in type 2 diabetes was estimated.

METHODS/PROCEDURES

All individuals with newly developed type 2 diabetes (first HbA1c ≥ 6.5%) between 2000 and 2016 in Northern and Central Denmark were identified using register-based health care data. Among these, we identified individuals initiating and discontinuing antidepressant treatment. Using a within-subject before-after design, we examined HbA1c and LDL in the 16 months leading up to and the 16 months after antidepressant treatment initiation or discontinuation, respectively. For comparison, we ran similar time trend analyses in a reference population of age- and sex-matched type 2 diabetes individuals not receiving antidepressant treatment.

FINDINGS/RESULTS

Mean HbA1c decreased after initiation of antidepressant treatment (-0.16%; 95% confidence interval [CI], -0.18 to -0.13%). In the reference population, no material change in HbA1c over time (-0.03%; 95% CI, -0.04 to -0.01%) was seen. Mean LDL decreased not only in antidepressant initiators (-0.17 mmol/L; 95% CI, -0.19 to -0.15 mmol/L) but also in the reference population (-0.15 mmol/L; 95% CI, -0.16 to -0.13 mmol/L). Among antidepressant discontinuers, there was also a decrease in HbA1c (-0.32%; 95% CI, -0.37 to -0.28%), with no change in the reference population (-0.02%; 95% CI, -0.04 to 0.00%). Decreases in LDL were found both in antidepressant discontinuers (-0.09 mmol/L; 95% CI, -0.14 to -0.04 mmol/L) and in the reference population (-0.16 mmol/L0; 95% CI, -0.18 to -0.13 mmol/L).

IMPLICATIONS/CONCLUSIONS

Antidepressant treatment in type 2 diabetes may have a beneficial effect on glycemic control, as the decrease in HbA1c after discontinuation of antidepressants likely reflects remission of depression. Conversely, antidepressant treatment does not seem to affect LDL levels.

Daily steps and depressive symptoms: A longitudinal evaluation of patients with major depressive disorder in the precision medicine in mental health care study

BACKGROUND

Although the benefits of exercise on Major Depressive Disorder (MDD) are well established, longitudinal studies of objectively measured activity in clinical populations are needed to establish specific guidelines for exercise by persons with moderate-to-severe depression. This study examines the association between objectively assessed daily step count and depressive symptoms over a 24-week follow- up period in outpatients receiving treatment for moderate-to-severe depression.

METHODS

Participants were US Veterans with MDD enrolled in the Precision Medicine in Mental Health Care study (PRIME Care), a pragmatic, multi-site, randomized, controlled trial that examines the utility of genetic testing in the context of pharmacotherapy for MDD. Participants were a subset (N = 66) enrolled in actigraphy (using GT9X ActiGraph) monitoring component of the trial. Daily steps were examined as a predictor of depressive symptoms over 4-, 8-, 12-, 18-, and 24-weeks.

RESULTS

On average, participants took 3,460 (±1,768) steps per day. In generalized linear mixed models, an increase in 1,000 steps per day was associated with a 0.6-point decrease in depressive symptom severity at the subsequent follow-up assessment.

LIMITATIONS

Activity monitoring was observational and causal inferences cannot be made between daily steps and subsequent depressive symptom severity. Results may not generalize to non-treatment-seeking populations.

CONCLUSIONS

Study findings provide an initial metric for persons with clinically significant MDD, of whom most do not get sufficient daily activity. The findings can inform future trials aimed at determining how much daily activity is needed to improve symptoms in individuals with MDD.

Evaluation of the uptake, retention and effectiveness of exercise referral schemes for the management of mental health conditions in primary care: a systematic review

BACKGROUND

Exercise is a recognised element of health-care management of mental-health conditions. In primary health care, it has been delivered through exercise referral schemes (ERS). The National Institute for Health and Care Excellence has highlighted uncertainty regarding the effectiveness of ERS in improving exercise participation and health outcomes among those referred for mental-health reasons. This review aims, therefore, to evaluate ERSs for individuals who are referred specifically for mental-health reasons.

METHODS

Studies were reviewed that assessed the effectiveness of ERSs in improving initiation of and/or adherence to exercise and/or their effectiveness in improving long-term participation in exercise and health outcomes among primary care patients who had been referred to the scheme for mental-health reasons. The data were extracted and their quality assessed. Data were analysed through a narrative synthesis approach.

RESULTS

Nine studies met the eligibility criteria. Three assessed clinical effectiveness of the schemes, eight assessed ERS uptake and/or adherence to the exercise schedule, and two assessed the impact of the ERSs on long-term exercise levels. In one study, it was found that ERSs that were based in leisure centres significantly improved long-term symptoms in those who had been referred due to their mental ill health (P<0.05). ERSs that involved face-to-face consultations and telephone calls had the highest rates of mean uptake (91.5%) and adherence (71.7%), but a difference was observed between uptake/adherence in trials (86.8%/55.3%) and in routine practice (57.9%/37.2%). ERSs that included face-to-face consultations and telephone calls increased the amount of long-term physical activity that was undertaken by people who had been referred for mental-health reasons (P=0.003).

CONCLUSIONS

Uptake and effectiveness of ERSs for mental health conditions was related to programme content and setting with more effective programmes providing both face-to-face and telephone consultations. Good uptake of yoga among those referred for mental health reasons suggests that mindful exercise options should be investigated further. Existing ERSs could be improved through application of individual tailoring and the provision of more face-to-face consultations, and social support. Further research is required to identify the types of ERSs that are most clinically effective for those with mental ill health.

The Relationship Between Objectively Measured Step Count, Clinical Characteristics, and Quality of Life Among Depressed Patients Recently Hospitalized With Systolic Heart Failure

OBJECTIVE

Physical activity (PA) can improve symptoms of both depression and heart failure (HF), but objective activity data among recently hospitalized HF patients with comorbid depression are lacking. We examined PA and the relationship between daily step counts and mood, health-related quality of life (HRQoL), and heart health among patients enrolled in a clinical trial treating HF and comorbid depression.

METHODS

We screened hospitalized patients with systolic HF (left ventricular ejection fraction [LVEF] ≤45%) and New York Heart Association class II-IV symptoms for depression using the two-item Patient Health Questionnaire (PHQ-2) and telephoned screen-positive patients to administer the PHQ-9 2 weeks after discharge. If the patient scored PHQ-9 ≥10 and agreed to continue in our study, we administered our baseline assessment and mailed them an armband accelerometer. We instructed patients to wear the armbands for 7 days before returning them and classified their data as "usable" if they wore it ≥10 hours per day on ≥4 separate days.

RESULTS

We mailed accelerometers to 531 depressed HF patients, and 222 (42%) returned them with usable data. Their median age was 64 years, 54% were women, 23% were non-White, and they walked a median of 1170 steps daily. Higher median daily step counts were associated with lower New York Heart Association class and better physical- and HF-specific HRQoL, but not mood symptoms, mental HRQoL, or LVEF.

CONCLUSIONS

Patients with HF and comorbid depression are generally sedentary after hospital discharge. Although mood symptoms and LVEF were unrelated to objective PA, patients with higher step counts self-reported better HRQoL.Trial Registration:ClinicalTrials.gov identifier NCT02044211.

Overweight in mood disorders: Effects on morbidity and treatment response

OBJECTIVE

As it is not clear how body-mass index (BMI) may relate to diagnosis, symptom-severity, illness-course, and treatment-response among psychiatric patients, we related BMI to psychiatric diagnosis and to selected clinical and demographic factors in major affective disorder subjects.

METHODS

We analyzed mean BMI levels vs. diagnosis, and evaluated selected risk factors for association with overweight and obesity among subjects with DSM-5 major affective disorders.

RESULTS

In 1884 subjects, BMI ranged from 23.4 kg/m² with anxiety disorders to 27.6 with psychotic disorders, and averaged 24.1 among 1469 affective disorder subjects. Mood-disorder subjects with BMI ≥ 25 (overweight/obese) were more likely: men, older, married, with more children and siblings, less education, lower socioeconomic status, engaged less in physical exercise, smoked more, and lived in less densely populated areas. They also were more likely to have: BD than MDD, familial mood disorders, no co-occurring ADHD, higher serum triglyceride levels, more time depressed and less improvement in depression ratings with treatment.

CONCLUSIONS

Risk of being overweight or obese was greatest with psychoses, least with anxiety, personality, and minor depressive disorders, and intermediate with major mood disorders. Several plausible risk factors for high BMI were identified in mood disorder subjects, including male sex and with BD > MDD. Striking were selectively greater prospective morbidity and decreased treatment-response for depression vs. mania with BMI ≥ 25.

Relationship between types of physical activity and depression among 88,522 adults

BACKGROUND

Physical activity is associated with depression; however, the influence of physical activity type on this association remains poorly explored. We aimed to investigate the association between various types of leisure-time physical activity and depression among a large and representative sample.

METHODS

Data from the 2019 Brazilian National Health Survey were used (n = 88,522 adults aged between 18 and 107 years, 53% female). Depression was measured using the Patient Health Questionnaire-9; participants' leisure-time physical activity types were self-reported. A four-step hierarchical regression was applied, and the analyses were adjusted for several confounders.

RESULTS

Active individuals had lower odds of depression (odds ratio [OR], 0.71; 95% confidence interval [CI], 0.62-0.81); however, only outdoor walking/running (OR, 0.70; 95% CI, 0.60-0.82), cycling (OR, 0.50; 95% CI, 0.34-0.74), and team sports (OR, 0.52; 95% CI, 0.42-0.66) were associated with lower odds of depression than inactivity.

CONCLUSIONS

Physical activity type may be associated with mental health. The qualitative mechanisms of some physical activities seem to have greater capability than others to reduce depression. Causal inferences could not be made, however, our findings suggest that specific physical activities types have additional benefits that can be used in promoting mental health in clinical intervention and at a population level.

Maternal depressive symptoms and maternal child-directed speech: A systematic review

BACKGROUND

Up to 1 in 5 children are exposed to maternal depressive symptoms. Children exposed to maternal depressive symptoms have poorer language skills than children not exposed to maternal depressive symptoms. Due to the crucial role of children's language skills in school readiness and academic achievement, it is imperative to understand the factors that underlie the relation between maternal depressive symptoms and children's language skills. Previous reviews have examined the mechanistic role of social-pragmatic features of mother-child interactions. However, the literature on the relation between maternal depressive symptoms and data-providing aspects of mother-child interactions, including child-directed speech, has yet to be consolidated. In this systematic review, we present maternal child-directed speech as a potential pathway through which maternal depressive symptoms influence children's language skills.

METHODS

Following PRISMA guidelines, three database searches produced 546 articles related to maternal depressive symptoms, child-directed speech, and children's language skills, ten of which examined the relation between maternal depressive symptoms and child-directed speech.

RESULTS

Findings revealed that increases in maternal depressive symptoms may be associated with decreases in amount of child-directed speech but not necessarily with decreases in the complexity of child-directed speech.

LIMITATIONS

The studies in this review varied in sample size, the inclusion of important sociodemographic factors, and the operationalization of depression and child-directed speech, thereby limiting conclusions, especially about whether maternal depressive symptoms are associated with the complexity of child-directed speech.

CONCLUSIONS

This review has implications for prevention and intervention efforts aimed at optimizing children's language skills; child-directed speech is modifiable, and mothers experiencing depressive symptoms may benefit from resources encouraging rich child-directed speech.