Sedentary behavior and depression among community-dwelling adults aged ≥50 years: Results from the irish longitudinal study on Ageing

The relationship between sedentary behavior and depression in older adults: A systematic review and meta-analysis

BACKGROUND

The association between sedentary behavior and depression in older adults has been reported in several studies; however, study results on the relationship between the different types of sedentary behavior and depression are not uniform. The purpose of this study was to quantitatively review the association between depression and total sedentary behavior, mentally active sedentary behavior, and passive sedentary behavior.

METHODS

We systematically searched for observational studies on the association between sedentary behavior and depression in older adults using PubMed, Embase, and Web of Science databases. A random effects model was used to combine odds ratios (ORs) and 95 % confidence intervals (CIs). In addition, we performed subgroup and sensitivity analyses to explore potential sources of heterogeneity.

RESULTS

Five longitudinal and 10 cross-sectional studies with a total of 144,161 participants were included in the meta-analysis. The OR of total sedentary behavior associated with depression was 1.49 (95 % CI 1.24-1.79). The combined OR value of mentally active sedentary behavior and depression was 0.82 (95 % CI 0.69-0.97), and no association was found between passive sedentary behavior and the risk of depression.

LIMITATIONS

We were unable to find dose-response relationships between the different types of sedentary behavior and depression because there were too few studies with raw data to analyze.

CONCLUSION

Total sedentary behavior may increase the risk of depression in older adults, whereas mentally active sedentary behavior is associated with a lower risk of depression. Differentiating between the types of sedentary behavior can inform interventions to prevent or ameliorate depression in older adults.

Association between sedentary behavior and wish to die among adults aged ≥50 years: Findings from the Irish Longitudinal Study on Ageing

We investigated the association between sedentary behavior (SB) and wish to die (WTD; i.e., feeling that one would be better off dead or wishing for one's own death), and the extent to which this can be explained by sleep problems, depression, anxiety, loneliness, perceived stress, and social network in a nationally representative sample of adults aged ≥50 years from Ireland. Cross-sectional data from Wave 1 of the Irish Longitudinal Study on Ageing 2009-2011 were analyzed. WTD was defined as answering affirmatively to the question "In the last month, have you felt that you would rather be dead?" SB was used as a continuous variable (hours/day), and also as a categorical (< or ≥8 h/day) variable. Multivariable logistic regression and mediation analyses were conducted. Data on 8163 adults aged ≥50 years were analyzed [mean (SD) age 63.6 (9.1) years; 48.0% males]. Overall, ≥8 (vs. <8) hours/day of SB was associated with a significant 2.04 (95%CI = 1.50-2.76) times higher odds for WTD, while a 1-h increase in SB per day was associated with 1.11 (95%CI = 1.06-1.16) times higher odds for WTD. Mediation analysis showed that sleep problems, depression, loneliness, perceived stress, and social network explained a modest proportion of the association between SB and WTD (mediated percentage 9.3%-14.8%). The present cross-sectional study found that increasing or higher levels of SB is positively associated with WTD. Addressing the identified potential mediators may reduce WTD among people who are sedentary. However, future longitudinal and intervention studies are needed to make concrete recommendations.

A latent profile analysis of rest-activity behavior patterns among community-dwelling older adults and its relationship with intrinsic capacity

Rest-activity behavior clusters within individuals to form patterns are of significant importance to their intrinsic capacity (IC), yet they have rarely been studied. A total of 1253 community-dwelling older adults were recruited between July and December 2021 based on the baseline survey database of the Fujian Prospective Cohort Study on Aging. Latent profile analysis was used to identify profiles of participants based on rest-activity behaviors, whereas logistic regression analysis was carried out to investigate the relationship between profiles and IC. We identified three latent profiles including: (1) Profile 1-labeled "Gorillas": High physical activity (PA), moderate sedentary behaviors (SB), screen time (ST) and sleep (n = 154, 12%), (2) Profile 2-labeled as "Zebras": Moderate PA, low SB, ST and high sleep (n = 779, 62%), and (3) Profile 3-labeled as"Koalas": High SB, ST, low PA and sleep (n = 320, 26%). Logistic regression revealed a negative correlation between low IC and the "Gorillas" profile (β = - 0.945, P < 0.001) as well as the "Zebras" profile (β = - 0.693, P < 0.001) among community-dwelling older adults, with the "Koalas" profile showing the weakest IC compared to the other profiles. The demographic traits i.e., female, older age, living alone, and low educational level also correlated with low IC. Identifying trends of rest-activity behaviors may help in drawing focus on older adults at risk of decreasing IC, and develop personalized improvement plans for IC.

Associations between domains of sedentary behavior, well-being, and quality of life - a cross-sectional study

The importance of reducing sedentary behavior (SB) in the prevention of mortality and chronic and mental diseases is scientifically well grounded, but SB can be accumulated in diverse domains of life, such as leisure-time SB, transport between home/work/school when sitting (transport-related SB), or in occupational settings such as working or studying (occupational SB), and the associations for each domain of SB with well-being measures and quality of life are still underexplored from a positive perspective. Through a cross-sectional investigation, we collected data from 584 participants who completed a questionnaire throughout November 2021 and with Spearman correlation test, analysed the associations between SB in three different domains with psychological well-being, satisfaction with life, and quality of life. Our results indicated that after adjustment for physical activity, sex, body mass index, smoking history, chronic disease status, financial perception, quality/duration of sleep and university group, in younger adults (18 to 24 years old), leisure-time SB was negatively related to psychological well-being (rho = -0.255; p = 0.008), and in adults (25 to 64 years old), occupational SB was negatively related to satisfaction with life (rho = -0.257; p < .001) and the mental component of quality of life (rho = -0.163; p = 0.027). Our findings highlight the idea that not all SB is built the same and that future strategies to reduce SB from people's lives must target specific domains of SB according to the age group when aiming to improve well-being and quality of life.

Sedentary Behavior and Physical Frailty Among Rural Older Adults in China: The Moderating Effect of Social Isolation

OBJECTIVES

Few studies have explored the mechanisms underlying the relationship between sedentary behavior and physical frailty. The aim of this study was to investigate the moderating effect of social isolation on the association between sedentary behavior and physical frailty among older adults in rural China.

DESIGN

Cross-sectional study.

SETTING AND PARTICIPANTS

Data were from 3238 individuals aged ≥60 years from rural areas in China.

METHODS

Binary logistic regression was used to explore the association between sedentary behavior and physical frailty and the moderating effect of social isolation.

RESULTS

The prevalence of physical frailty was 18.7% among the older adults, and 17.0% of them were sedentary for ≥8 h/d. Compared with older adults with sedentary behavior for <4 h/d, participants with sedentary behavior for ≥8 h/d were more likely to suffer from physical frailty [odds ratio (OR), 2.26; 95% CI, 1.57-3.27]. We found that social isolation may aggravate this relationship (OR, 3.31; 95% CI, 2.06-5.32), especially for rural older adults who were sedentary for ≥8 h/day.

CONCLUSION AND IMPLICATIONS

More sedentary behavior was associated with higher risk of physical frailty, which was especially apparent among older adults with social isolation, suggesting that sedentary older people who experienced social isolation were more vulnerable to physical frailty. Decreasing sedentary behavior in older adults and encouraging them to participate in interactive social activities could help prevent physical frailty.

Loneliness in older primary care patients and its relationship to physical and mental health-related quality of life

BACKGROUND

Loneliness is a significant public health challenge in the United States, especially among older adults. The epidemiology of loneliness among older adults in primary care is lacking, and specific research is needed on how loneliness impacts older primary patients' physical, mental, and cognitive health. A large sample of older primary care patients were recruited for a trial during the COVID-19 pandemic to measure the relationship between loneliness and physical and mental quality of life (QOL).

METHODS

Baseline data come from the Caregiver Outcomes of Alzheimer's Disease Screening (COADS) study, an ongoing randomized controlled trial evaluating benefits and risks of Alzheimer's disease and related dementias screening among primary care patients ages 65 and older, collected April 2020 to September 2021. Loneliness was measured with the 5-item, Loneliness Fixed Form Ages 18+ from The NIH Toolbox Emotion Battery, physical and mental health-related QOL was measured with the SF-36v2, and depression and anxiety severity were measured with the PHQ-9 and GAD-7, respectively.

RESULTS

Spearman correlation analyses revealed that loneliness was moderately correlated with mental health QOL (r[601] = -0.43, p < 0.001), anxiety severity (r[601] = 0.44, p < 0.001), and depression severity (r[601] = 0.42, p < 0.001), while weakly correlated with physical health QOL (r[601] = -0.15, p < 0.001). After conducting unadjusted and adjusted linear regression models, we found that loneliness was significantly associated with both lower mental (p < 0.001) and physical (p < 0.001) QOL. Furthermore, loneliness remained significantly associated with worse mental QOL after adjusting for age, gender, race, ethnicity, educational level, perceived income status, neighborhood disadvantage, severity of comorbidities, and comorbid depression and anxiety.

CONCLUSION

Primary care providers should discuss loneliness with their older adult patients and provide resources to help patients develop and maintain meaningful social relationships.

Causal links between sedentary behavior, physical activity, and psychiatric disorders: a Mendelian randomization study

BACKGROUND

Studies suggest a correlation between excessive sedentary behavior, insufficient physical activity, and an elevated likelihood of experiencing psychiatric disorder. Nonetheless, the precise influence of sedentary behavior and physical activity on psychiatric disorder remains uncertain. Hence, the objective of this research was to investigate the possible causal relationship between sedentary behavior, physical activity, and the susceptibility to psychiatric disorder (depression, schizophrenia and bipolar disorder), utilizing a two-sample Mendelian randomization (MR) approach.

METHODS

Potential genetic instruments related to sedentary leisure behaviors were identified from the UK Biobank database, specifically a summary-level genome-wide association study (GWAS) involving 422,218 individuals of European descent. The UK Biobank database also provided the GWAS data for physical activity. Primary analysis was performed using inverse variance weighting (IVW) to assess the causal relationship between sedentary behavior, physical activity, and the risk of psychiatric disorder (depression, schizophrenia and bipolar disorder). Sensitivity analysis was conducted using Cochran's Q test, the MR-Egger intercept test, the MR-pleiotropy RESidual sum and outlier test, leave-one-out analysis, and funnel plot analysis.

RESULTS

According to the IVW analysis, there was a significant association between genetically predicted leisure television watching and an increased risk of depression (odds ratio [OR] = 1.027, 95% confidence interval [CI]: 1.001-1.053; P = 0.04). The IVW analysis also indicated that there was a decreased risk of depression associated with fraction accelerations of > 425 milligravities, as measured by accelerometers (OR = 0.951, 95%CI: 0.914-0.989; P = 0.013). The other MR methods obtained consistent but non-significant results in the same direction. However, there was no evidence of a causal association between genetic liability for moderate-to-vigorous physical activity, accelerometer-assessed physical activity, computer use, or driving and the risk of depression. Furthermore, IVW analysis has also found that driving has a slight effect in reducing the risk of schizophrenia (OR = 0.092, 95%CI: 0.010-0.827; P = 0.033), while leisure television viewing has a significant protective effect against the onset of bipolar disorder (OR = 0.719, 95%CI: 0.567-0.912; P = 0.006).

CONCLUSION

The study provides compelling evidence of a link between depression, bipolar disorder, and excessive TV watching. Furthermore, it suggests that higher accelerometer-assessed fraction accelerations of > 425 milligravities can serve as a genetic protective factor against depression. To mitigate the risk of developing depression, it is advisable to reduce sedentary activities, particularly television watching, and prioritize engaging in vigorous physical exercise.

Unhealthy behaviors associated with mental health disorders: a systematic comparative review of diet quality, sedentary behavior, and cannabis and tobacco use

Background

There are well-established literatures documenting the associations between mental disorders and unhealthy behaviors such as poor diet quality, sedentary behavior, and cannabis and tobacco use. Few studies have attempted to understand the respective findings in light of each other, however.

Objective

The purpose of this review was to assemble comparable data for each behavior-disorder association and assess the associations in terms of their overall strength. The review aimed to include a representative, but not exhaustive, range of studies that would allow for explorative comparisons.

Methods

Eligible studies were identified via Pubmed searches and citation searching, restricted to publications no older than 2015 written in English. To obtain comparable data, only studies that reported findings as odds ratios were included, and risk of bias related to study samples, behavioral measurement disparities, and control variables was assessed via sensitivity analyses. Findings for each disorder were compared on the basis of different measures of central tendency.

Results

From 3,682 records, 294 studies were included. The review found evidence of associations between each of the four unhealthy behaviors and psychosis, depression, anxiety, bipolar disorder, attention-deficit/hyperactivity disorder (ADHD), and post-traumatic stress disorder (PTSD), while personality disorder was only investigated in relation to cannabis and tobacco use. In overall comparison, the associations were generally of similar strength, and only the association between cannabis use and personality disorder was exceptional in terms of being significantly stronger than its counterparts across disorders and across behaviors. Analyses of bias risk identified some influence from behavioral measurement disparities and lack of adequate statistical control, but findings were generally robust across a range of sensitivity analyses.

Conclusion

This explorative and comparative review found that poor diet quality, sedentary behavior, and cannabis and tobacco use are about equally strongly associated with a range of different mental disorders. Given the general nature of these associations, we should probably understand them to reflect a general and shared etiology. However, the findings in this review should be regarded as tentative until confirmed by more comprehensive investigations.

Prolonged preoperative sedentary time is a risk factor for postoperative ileus in patients with colorectal cancer: a propensity score-matched retrospective study

PURPOSE

This study aimed to investigate the association between prolonged preoperative sedentary time (ST) and postoperative ileus (POI) after adjusting for confounders in patients with colorectal cancer (CRC).

METHODS

This single-center retrospective study enrolled 155 consecutive patients who underwent surgery for primary CRC. A diagnosis of POI was made by the surgeons if the Clavien-Dindo classification (CD) grade is ≥ 2 within 30 days after surgery. Preoperative ST was assessed using the International Physical Activity Questionnaire usual week short version (Japanese version). Patients were classified into two groups (ST < 6 h/day and ST ≥ 6 h/day) based on results from the questionnaire, and data were analyzed using a propensity score-matching strategy to adjust for confounders. In addition, receiver operating characteristic (ROC) curve analysis was performed to identify the optimal cutoff value of preoperative ST for predicting POI.

RESULTS

Of the 155 patients, 134 were included in the analysis. POI occurred in 16 (11.9%) patients of overall patients and 11 (12.5%) of the 88 matched patients. The logistic regression analysis after propensity score-matching showed that prolonged preoperative ST (ST ≥ 6 h/day) was associated with POI (odds ratio 5.40 (95% confidence interval: 1.09 - 26.60), p = 0.038). The ROC curve analysis indicated that the optimal cutoff value of preoperative ST for predicting POI was 6 h/day.

CONCLUSION

Prolonged preoperative ST is a risk factor for POI in patients with CRC. Therefore, reducing preoperative ST may play an important role in preventing POI.

Sex Difference in the Association Between Sedentary Behavior and Sleep Quality: A Longitudinal Study Among Older Adults in Rural China

OBJECTIVES

Sleep quality plays a vital role in maintaining health in older adults. Sedentary behavior may be a risk factor for poor sleep quality in older adults. This study aimed to explore the relationship between sedentary behavior and sleep quality among older adults in rural China and determine whether there is a sex difference in this association.

DESIGN

A longitudinal design. The data used in this study were obtained from the Shandong Rural Elderly Health Cohort (wave 1: 2019, wave 2: 2020).

SETTING AND PARTICIPANTS

Data were from 2731 individuals aged ≥60 years from rural areas in China.

METHODS

Sleep quality was assessed using the Pittsburgh Sleep Quality Index. Sedentary behavior and control variables were measured using self-reported questions. Multivariable logistic regression and generalized estimating equations were used to assess the associations.

RESULTS

After full adjustment, the association between sedentary behavior and poor sleep quality was statistically significant [odds ratio (OR) 1.49, 95% CI 1.20-1.85]. Specifically, a longer sedentary time was associated with worse subjective sleep quality, less sleep latency, and lower habitual sleep efficiency (OR 1.39-1.58). A significant association was observed in women but not men.

CONCLUSIONS AND IMPLICATIONS

Older adults who spend more time engaging in sedentary activities have poorer sleep quality and more sleep problems. Prolonged sedentary time is more detrimentally associated with poor sleep quality in women than men. There is a need for tailored exercise prescriptions and guidelines to stimulate older adults of different sexes to change their sedentary behavior, which may improve sleep quality in older adults.

Validation of an Algorithm for Measurement of Sedentary Behaviour in Community-Dwelling Older Adults

Accurate measurement of sedentary behaviour in older adults is informative and relevant. Yet, activities such as sitting are not accurately distinguished from non-sedentary activities (e.g., upright activities), especially in real-world conditions. This study examines the accuracy of a novel algorithm to identify sitting, lying, and upright activities in community-dwelling older people in real-world conditions. Eighteen older adults wore a single triaxial accelerometer with an onboard triaxial gyroscope on their lower back and performed a range of scripted and non-scripted activities in their homes/retirement villages whilst being videoed. A novel algorithm was developed to identify sitting, lying, and upright activities. The algorithm's sensitivity, specificity, positive predictive value, and negative predictive value for identifying scripted sitting activities ranged from 76.9% to 94.8%. For scripted lying activities: 70.4% to 95.7%. For scripted upright activities: 75.9% to 93.1%. For non-scripted sitting activities: 92.3% to 99.5%. No non-scripted lying activities were captured. For non-scripted upright activities: 94.3% to 99.5%. The algorithm could, at worst, overestimate or underestimate sedentary behaviour bouts by ±40 s, which is within a 5% error for sedentary behaviour bouts. These results indicate good to excellent agreement for the novel algorithm, providing a valid measure of sedentary behaviour in community-dwelling older adults.

Twenty-four-hour time-use composition and cognitive function in older adults: Cross-sectional findings of the ACTIVate study

Introduction

Physical activity, sedentary behaviour and sleep are associated with cognitive function in older adults. However, these behaviours are not independent, but instead make up exclusive and exhaustive components of the 24-h day. Few studies have investigated associations between 24-h time-use composition and cognitive function in older adults. Of these, none have considered how the quality of sleep, or the context of physical activity and sedentary behaviour may impact these relationships. This study aims to understand how 24-h time-use composition is associated with cognitive function across a range of domains in healthy older adults, and whether the level of recreational physical activity, amount of television (TV) watching, or the quality of sleep impact these potential associations.

Methods

384 healthy older adults (age 65.5 ± 3.0 years, 68% female, 63% non-smokers, mean education = 16.5 ± 3.2 years) participated in this study across two Australian sites (Adelaide, n = 207; Newcastle, n = 177). Twenty-four-hour time-use composition was captured using triaxial accelerometry, measured continuously across 7 days. Total time spent watching TV per day was used to capture the context of sedentary behaviours, whilst total time spent in recreational physical activity was used to capture the context of physical activity (i.e., recreational accumulation of physical activity vs. other contexts). Sleep quality was measured using a single item extracted from the Pittsburgh Sleep Quality Index. Cognitive function was measured using a global cognition index (Addenbrooke's Cognitive Examination III) and four cognitive domain composite scores (derived from five tests of the Cambridge Neuropsychological Test Automated Battery: Paired Associates Learning; One Touch Stockings of Cambridge; Multitasking; Reaction Time; Verbal Recognition Memory). Pairwise correlations were used to describe independent relationships between time use variables and cognitive outcomes. Then, compositional data analysis regression methods were used to quantify associations between cognition and 24-h time-use composition.

Results

After adjusting for covariates and false discovery rate there were no significant associations between time-use composition and global cognition, long-term memory, short-term memory, executive function, or processing speed outcomes, and no significant interactions between TV watching time, recreational physical activity engagement or sleep quality and time-use composition for any cognitive outcomes.

Discussion

The findings highlight the importance of considering all activities across the 24-h day against cognitive function in older adults. Future studies should consider investigating these relationships longitudinally to uncover temporal effects.

Combined influence of sedentary behaviours and chronic pain on depressive symptoms in older Korean adults with hypertension

AIMS

Depressive symptoms in hypertensive patients are linked to poor adherence to treatment. Sedentary behaviours and chronic pain can increase blood pressure and depressive symptoms, respectively. However, the impact of their coexistence on depressive symptoms in older adults with hypertension has not yet been investigated. This study aimed to identify the combined influence of sedentary behaviours and chronic pain on depressive symptoms in older adults with hypertension in Korea.

METHODS AND RESULTS

This cross-sectional study used data from the sixth Korea National Health and Nutrition Examination Survey from January to December 2014. The survey adopted multistage stratified sampling by geographical region, gender, and age. For the data analysis, a total of 573 patients with hypertension aged 65 years or older were included. Approximately, 61.0% of depressed older patients had both sedentary behaviours and chronic pain compared with patients without depressive symptoms. In multivariate logistic regression analysis, compared with patients without either sedentary behaviours or chronic pain, older adults with hypertension who presented both sedentary behaviours, and chronic pain had the highest risk of depressive symptoms (odds ratio = 13.86, 95% confidence interval = 5.87-32.71; P < 0.001).

CONCLUSION

Coexistence of sedentary behaviours and chronic pain in older hypertensive patients may lead to depressive symptoms. Evaluating both sedentary behaviours and chronic pain when assessing depressive symptoms in patients with hypertension would be beneficial in planning a patient-centred approach for controlling blood pressure. More prospective cohort studies with larger samples are required to identify the causal relationships.

Television watching, reading, cognition, depression and life satisfaction among middle-aged and older populations: A group-based trajectory modelling analysis of national data

This retrospective cohort study aimed to identify heterogeneous cognition, depression, and life satisfaction trajectory groups, and to examine the independent contributions of watching television and reading to these trajectories among middle-aged and older adults. A sample was taken from the Taiwan Longitudinal Study on Aging (TLSA) with measures of cognition, depression, life satisfaction, watching television, and reading during 12 years of follow-up (N = 4440). Group-based trajectory models and multinomial logistic regressions were used. The findings showed that the cohort was separated into three global cognition groups of low-cognition (n = 376), declining-cognition (n = 805), and maintained-cognition (n = 2718); three episodic memory groups of high-declining (n = 540), middle-stable (n = 2066), and improving groups (n = 1293); three depression groups of low-to-low (n = 2571), median-to-high (n = 960), and high-to-high groups (n = 368); and three life satisfaction groups of low- (n = 1133), middle- (n = 977), and high-level groups (n = 1789). Also, the findings demonstrated that after adjusting for covariates, those who did not watch television or read at the baseline had independently significantly increased odds of having lower global cognitive function, higher depression, and lower life satisfaction over time versus those who watched television or read almost every day. Based on the findings obtained, group-based trajectories of cognition, depression, and life satisfaction scores identified distinct subgroups among TLSA participants. Moreover, the findings suggest that healthcare providers need to develop more targeted population interventions to ensure successful aging. Healthcare providers can encourage older adults, particularly new retirees, to participate in leisure activities (i.e., watching television and reading) to reduce prevalence rates of cognitive impairment and depression.

Social isolation due to COVID-19: impact on loneliness, sedentary behavior, and falls in older adults

OBJECTIVES

The World Health Organization has recommended social isolation to prevent the transmission of COVID-19. Thus, feelings of loneliness, sedentary behavior, and predisposition to falls have been reported more often due to the adoption of social isolation, especially for older adults. The objective of this study was to compare older adults' loneliness, sedentary behavior, and occurrence of falls before and during social isolation due to the pandemic as well as to analyze the association of loneliness with sedentary lifestyle and falls in older adults.

METHOD

Retrospective analytical study conducted through an online survey with older adults from Brazilian states in social isolation, approved by the Research Ethics Committee (number 32168920.0.0000.0068).

RESULTS

There was a significant increase in loneliness and sedentary behavior during social isolation (p-value < 0.05 for both), but no increase was observed for falls (p-value = 0.615). There was no correlation between the outcomes, nor was there a correlation between the outcomes and the number of days in social isolation.

CONCLUSION

The results of this research show that adoption of social isolation due to the COVID-19 pandemic brought an increase in sedentary behavior and loneliness for older adults but had no effect on the number of falls.

Associations of Physical Activity and Television Viewing With Depressive Symptoms of the European Adults

Background: While mentally passive sedentary behavior such as television viewing (TV) is often related with depressive symptoms, some research shows that physical activity (PA) may attenuate this association. Thus, this study aimed to examine the associations between TV, PA, and depressive symptoms, considering sociodemographic covariates.

Methods: A sample of 29,285 adults (13,943 men; 15,342 women) with a mean age of 50.9 ± 17.4 years (50.6 ± 17.3 men; 51.1 ± 17.5 women) from the European Social Survey agreed to be respondents for this study. Data for sociodemographic variables, TV watching, PA, and depressive symptoms were self-reported. Different statistical procedures were conducted to provide evidence for the association between study variables. ANCOVA was used to analyze the association between TV watching and depressive symptoms. Linear regression analysis was conducted to analyze the association between PA and depressive symptoms. General Linear Model was performed to analyze the association of TV watching and on depressive symptoms, controlling for PA.

Results: European adults who responded watching more than 2 h per day showed higher scores for depressive symptoms. Higher participation in PA was negatively and significantly associated with depressive symptoms in men (β = −0.15, 95% CI: −0.18, −0.13), and women (β = −0.23, 95% CI: −0.26, −0.21). Men spending 1–2 h/day TV watching and engaging in PA ≥ 5 days/week presented the lowest scores on depressive symptoms. The lowest scores on depressive symptoms was observed in women engaging 2–4 days/week in PA and spending <1 h/day in TV watching.

Conclusions: More time spent in TV watching is related with increased scores on depressive symptoms. However, regular PA participation can weaken this association.

Increased Odds for Depression and Antidepressant Use in the Inactive Spanish Population

Introduction: Depression is a disabling mental illness and therefore also a serious public health problem. It affects 5% of the adult population in the world and is the leading cause of disability, with an annual cost of USD one trillion. In Spain, its prevalence is 13.4%, costing EUR 6000 million a year. Physical inactivity has been linked to an increase in depressive symptoms, with physical activity associated with an improvement in health-related quality of life. Objective: To calculate the odds ratio (OR) and relative risk (RR) of suffering from depression and taking antidepressants in the inactive Spanish population compared to groups with a higher level of physical activity. Method: 17,141 individuals aged 18−69 years residing in Spain and interviewed in the 2017 Spanish National Health Survey were included in this cross-sectional investigation. Results: Dependence relationships were found between the level of physical activity and the prevalence of depression and taking antidepressants (p < 0.001). We found elevated ORs and RRs for depression and antidepressant use in inactive people compared to those with a high/very high level of physical activity (Depression: OR: 4.32. CI95%: 3.35−5.57. RR: 1.59. 95% CI: 1.51−1.68; Antidepressants: OR: 4.95. CI95%: 3.59−6.82. RR: 1.61. CI95%: 1.52−1.71). Conclusions: Belonging to an inactive population group increases the risk of suffering from depression and of taking antidepressants.

Associations between sedentary behaviour patterns and depression among people aged 60 and older in Hebei Province of China

BACKGROUND

Sedentary behaviours (SBs) are now considered a risk factor for depression. Older adults are sedentary most of the time and are at a high risk of depression. However, not all types of SBs have adverse effects on mental health. Passive SBs (such as watching TV) increase the risk of depression, whereas mentally active SBs (such as using the internet and reading) decrease the risk of depression. The aim of this study was to explore the associations between type of SBs (i.e., passive and mentally active SBs) and depression among people aged 60 years and older in the Hebei Province of China.

METHODS

This cross-sectional study used data from the baseline survey of the Community-based Cohort Study on Nervous System Diseases. A total of 2679 older adults aged ≥60 years from the Hebei Province of China were included in this study. The type and time spent on SBs were self-reported. Watching TV was defined as a passive SB, whereas internet use, reading, and social SBs (including communicating with others and playing chess) were defined as mentally active SBs. Depression was evaluated using the Geriatric Depression Scale. The maximal possible score was 30 points, and ≥ 11 points indicated depression. Logistic regression analysis was used to assess the relationship between SBs and depression. Covariates included sex, age, education, employment, smoking, alcohol consumption, sleep duration, domestic work, physical exercise, body mass index (BMI), and chronic diseases.

RESULTS

At baseline, the participants who spent two or more hours and 0 h on passive SBs (i.e., TV viewing) had a greater risk of depression (=0 h: adjusted OR = 2.09, 95% CI = 1.18-3.76; 2-3 h: OR = 2.21, 95% CI = 1.16-4.16; > 3 h: OR = 3.59, 95% CI = 1.93-6.68) than the participants who spent 1-2 h on passive SBs. The participants who spent > 1 h on mentally active SBs had a lower risk of depression (adjusted OR = 0.26, 95% CI = 0.06-0.71) than the participants who did not engage in mentally active SBs. Not all mentally active SBs were linked to depression. The participants who engaged in social SBs had a lower risk of depression (adjusted OR: 0.24, 95% CI: 0.06-0.66) than the participants who did not engage in social SBs.

CONCLUSIONS

Spending 2 h or more per day on passive SBs (watching TV) was associated with a high risk of depression among people aged 60 years and older in the Hebei Province of China. Mentally active SBs (predominantly social SBs) could reduce the risk of depression. Some participants with depression probably did not watch TV. These findings suggested that spending more time on social SBs (such as communicating with others and playing chess) rather than watching TV may have important public health implications for preventing and managing depression among older Chinese adults. Moreover, society should attend to the mental health of elderly adults who do not watch TV as they may be more prone to suffer from depressive symptoms.

Depression and Exercise in Older Adults: Exercise Looks after You Program, User Profile

INTRODUCTION

Depression is a challenge for public health policies, as it is the number one leading cause of disability in the world. In order to combat and prevent it, different social and health interventions are being developed to promote health through physical activity.

OBJECTIVE

Analyze and describe the user profile of the patients with depression from the Exercise Looks After You program, which is a physical activity program that works on improving public health and has an essential role preventing chronic diseases and improving the quality of life of the elderly in Extremadura.

DESIGN

Cross-sectional study.

PARTICIPANTS

total sample of 1972 users (96.4% women, 3.6% men), of whom 724 (94.6% women, 5.4% men) suffer from depression.

RESULTS

It was observed that the dominant user profile of the patients with depression within the program is female, 71 years old, physically active, overweight, married, with low educational level, non-smoker, no alcohol consumption and below average physical fitness and health-related quality of life, which translates into a high incidence of primary care, nursing and prescription visits.

CONCLUSIONS

This study presents the user profile of depressive versus non-depressive participants of the Exercise Looks After You physical activity program. This data could be meaningful in order to improve and optimize public health programs and resources.

Bidirectional Association Between Depression and Hearing Loss: Evidence From the China Health and Retirement Longitudinal Study

The relationship between depression and age-related hearing loss (ARHL) is not fully understood. This study tested the bidirectional associations between clinically significant depressive symptoms (CSDSs) and ARHL in middle-aged and older adults using data from the China Health and Retirement Longitudinal Study. Among 3,418 participants free of baseline ARHL, baseline CSDS was associated with an increased odds of incident ARHL (odds ratio [OR]: 1.51). Cognitive decline, BMI, and arthritis partially mediated the longitudinal CSDS-ARHL association and explained 24% of the variance in the total effect. Among 4,921 participants without baseline CSDS, baseline ARHL was associated with an increased odds of incident CSDS (OR: 1.37). The bidirectional associations remained significant after adjustments for baseline demographic factors, comorbidities, and other health-related covariates. Depression may contribute to the development of ARHL, and vice versa. Interventions in depression, cognitive decline, and arthritis may delay the onset of ARHL and break the vicious circle between them.

Perceptions on activity behavior during the COVID-19 pandemic "second wave" among US adults: results of a short online survey

Purpose

COVID-19 pandemic has disrupted the lives of people of all nations. This study examined physical activity (PA) behavior, barriers and facilitators to PA during the COVID-19 pandemic.

Methods

This cross-sectional study assessed adults using a survey comprised of two parts: (a) demographics and general health and; (b) PA-related questions. The survey link was disseminated via email and various social media, and was active from September to October 2020.

Results

A total of 277 adults (Mean ± SD; age = 32.6 ± 13.6 years, BMI = 27.1 ± 16.5 kg/m2) were evaluated. A majority of the sample was female (67%), single (53%) and White (70%). About a third of the participants reported good mental and physical health, with a similar amount reporting weight gain during the pandemic. Participants further reported on average 271 min of PA/week, and 5.7 h/day of sitting time. Overall, 41.5% of the participants reported a decrease in PA during the COVID-19 pandemic, but those not meeting PA recommendations reported higher rates (67.9%) of decrease in levels of PA than their active counterparts (23.6%); x 2 (2, N = 277) = 55.757, p < 0.01. Over 50% of the participants reported engaging in PA at home, with significantly more females (43.5%) than males (17.6%) making use of live stream PA/exercise session opportunities; x 2 (2, N = 277) = 18.896, p < 0.001. "Closed gyms" and "more time" were reported as the main negative and positive factors, respectively, affecting PA during the pandemic.

Conclusions

Our findings suggest that PA behavior was negatively affected in US adults during the COVID-19 pandemic, and that "closed gym" (i.e., barrier), and "more time" (i.e., facilitator), were the main factors reported affecting PA participation. Given the well-known public health importance of PA, it is paramount that public health initiatives focus on providing not only educational but also environmental opportunities and support for PA during this period.

Mood disorder and cancer onset: evidence from a population-based sample of Australian women

OBJECTIVE

The role of mood disorders in cancer onset is unclear. The aim of this study was to investigate the association between mood disorder and incident cancer in a population-based sample of women.

METHODS

Data were derived from women aged 28-94 years participating in the Geelong Osteoporosis Study. Mood disorder was identified via Clinical Interview (SCID-I/NP). Cancer data was obtained following linkage with the Victorian Cancer Registry. Demographic and lifestyle factors were self-reported. Nested case-control and retrospective study designs were utilized.

RESULTS

In the case-control study (n=807), mood disorder was documented for 18 of the 75 (9.3%) cancer cases and among 288 controls (24.0% vs. 39.3%, p = 0.009). Prior exposure to mood disorder was associated with reduced cancer incidence (OR 0.49, 95%CI 0.28-0.84); this was sustained following adjustment for confounders (ORadj 0.52, 95%CI 0.30-0.90). In the retrospective cohort study (n=655), among 154 women with a history of mood disorder at baseline, 13 (8.5%) developed incident cancer during follow-up, whereas among 501 women with no history of mood disorder, 54 (10.8%) developed incident cancer. Exposure to mood disorder was not associated with incident cancer over the follow-up period (HR 0.58, 95%CI 0.31-1.08, p = 0.09).

CONCLUSION

Mood disorder was associated with reduced odds of cancer onset. However, this finding was not supported in the retrospective cohort study. Larger studies able to investigate specific cancers and mood disorders as well as underlying mechanisms in both men and women are warranted.

A reconciling hypothesis centred on brain-derived neurotrophic factor to explain neuropsychiatric manifestations in rheumatoid arthritis

Rheumatoid arthritis (RA) is an autoimmune chronic inflammatory disease characterized by synovitis leading to joint destruction, pain and disability. Despite efficient antirheumatic drugs, neuropsychiatric troubles including depression and cognitive dysfunction are common in RA but the underlying mechanisms are unclear. However, converging evidence strongly suggests that deficit in brain-derived neurotrophic factor (BDNF) signalling contributes to impaired cognition and depression. Therefore, this review summarizes the current knowledge on BDNF in RA, proposes possible mechanisms linking RA and brain BDNF deficiency including neuroinflammation, cerebral endothelial dysfunction and sedentary behaviour, and discusses neuromuscular electrical stimulation as an attractive therapeutic option.

Sedentarism and chronic disease risk in COVID 19 lockdown - a scoping review

BACKGROUND & AIMS

Though viewed as a critical measure to prevent the spread of the virus, a prolonged homestay may result in unfavourable sedentary behaviour and chronic disease risk. This systematic review focuses on sedentary behaviour resulting from this quarantine period which may elevate the cardiovascular disease risk, obesity, hypertension, cancer and mental health illness.

METHODS

Evidence of breaking sedentary behaviour and global recommendations were investigated. Potential unanswered questions regarding sedentary behaviour and physical activity during lockdown were explored.

RESULTS

Five systematic reviews and six prospective trials explored the effect of sedentarism affecting chronic disease through potential pathophysiological mechanisms. Sedentary behaviour especially prolonged sitting is found to be a pleiotropic risk factor with altered energy expenditure, adipogenic signalling, immunomodulation, autonomic stability and hormonal dysregulation perpetuating underlying chronic diseases such as obesity, cardiovascular disease, cancer and mental health disorders.

CONCLUSION

Breaking sitting and physical activity are found to reverse the adverse effects associated with excessive sitting during the lockdown.

Physical inactivity and elevated TV-viewing reported changes during the COVID-19 pandemic are associated with mental health: A survey with 43,995 Brazilian adults

OBJECTIVE

To analyze the associations of physical activity and TV-viewing reported changes during the COVID-19 pandemic quarantine with mental health among Brazilian adults with and without depression.

METHODS

Data of 43,995 Brazilian adults from a cross-sectional, nationwide behavior research were used. Participants reported the frequency on loneliness, sadness (feel sad, crestfallen or depressed) and anxiety (feel worried, anxious or nervous) feelings during the pandemic period. Frequency and duration of physical activity as well as duration of TV-viewing before and during the pandemic period were also reported. We created four categories of reported changes in physical activity (1-consistently active, 2-become active, 3-become inactive or 4-consistently inactive) and TV-viewing (1-consistently high, 2-become low, 3-become high or 4-consistently high). Participants also reported previous diagnoses of depression [yes (PD) or no (nPD). Logistic regression models separating people with and without depression were created.

RESULTS

Compared to consistently active participants, to become inactive during the pandemic was associated with a higher odds for loneliness [nPD:OR:1.32 (95%CI,1.02-1.70); PD:2.22 (1.21-4.06)], sadness [nPD:1.34 (1.01-1.77); PD:2.88 (1.54-5.36)], and anxiety [nPD:1.71 (1.30-2.25); PD:2.55 (1.20-5.42)]. Also, people with depression and consistently physically inactive presented higher odds for loneliness and sadness. Compared to consistently low TV-viewing, participants that become with high TV-viewing showed higher odds for loneliness [nPD:1.59 (1.37-1.86)], sadness [nPD:1.68 (1.44-1.96); PD:1.61 (1.21 to 2.15)] and anxiety [nPD:1.73 (1.48-2.02); PD:1.58 (1.12-2.23)].

CONCLUSIONS

Reported increases in physical inactivity and TV-viewing during the COVID-19 pandemic were associated with poorer mental health indicators. People with depression and consistently physically inactivity were more likely to present loneliness and sadness.

Perceived change in physical activity levels and mental health during COVID-19: Findings among adult twin pairs

Background

Physical distancing and other COVID-19 pandemic mitigation strategies may have unintended consequences on a number of health behaviors and health outcomes. The purpose of this study was to investigate the association between perceived change in physical activity or exercise and mental health outcomes over the short-term in response to COVID-19 mitigation strategies in a sample of adult twins.

Methods

This was a cross-sectional study of 3,971 identical and same-sex fraternal adult twins (909 pairs, 77% identical) from the community-based Washington State Twin Registry. Participants in this study completed an online survey examining the impact of COVID-19 mitigation on a number of health-related behaviors and outcomes, administered between March 26 and April 5, 2020. In the present study, the exposure was perceived change in physical activity or exercise. The outcomes were levels of perceived anxiety and stress.

Results

More twin pairs reported a decrease in physical activity levels (42%) than those reporting no change (31%) or increased physical activity levels (27%). A perceived decrease in physical activity or exercise was associated with higher stress and anxiety levels. However, the physical activity–stress relationship was confounded by genetic and shared environmental factors. On the other hand, the physical activity–anxiety relationship held after controlling for genetic and shared environmental factors, although it was no longer significant after further controlling for age and sex, with older twins more likely to report lower levels of anxiety and females more likely to report higher levels of anxiety.

Conclusions

Strategies to mitigate the COVID-19 pandemic may be impacting physical activity and mental health, with those experiencing a decrease in physical activity also having higher levels of stress and anxiety. These relationships are confounded by genetic and shared environmental factors, in the case of stress, and age and sex, in the case of anxiety.