Screen time, physical activity and depression risk in minority women

Motivation, Physical Activity, and Affect in Community-Dwelling Stroke Survivors: An Ambulatory Assessment Approach

BACKGROUND

Motivation is a frequently reported but far less studied driver for post-stroke physical activity participation. Motivation and physical activity may be important contributors to the prevention management and alleviation of affective symptoms among stroke survivors.

PURPOSE

To investigate the real-time associations between motivation, physical activity, and affect in the daily lives of community-dwelling stroke survivors using ecological momentary assessment (EMA) and accelerometry.

METHODS

Forty community-dwelling stroke survivors wore an accelerometer on the thigh and completed EMA surveys assessing motivation (autonomous motivation, controlled motivation) and affect (negative affect, positive affect) eight times daily for 7 days. Multivariate regression analysis and multilevel modeling investigated the associations between motivation, physical activity, and affect.

RESULTS

Greater autonomous motivation for physical activity was associated with less sedentary behavior (β = -0.40, p = .049) and more moderate-to-vigorous physical activity (β = 0.45, p = .020) participation in daily life. Greater autonomous motivation was momentarily associated with less depressed affect (β = -0.05, p < .001) and greater positive affect (β = 0.13, p < .001). Moreover, greater controlled motivation was momentarily associated with greater depressed affect (β = 0.06, p < .001). More intense physical activity was momentarily associated with greater positive affect (β = 0.13, p = .016). No moderating effect of motivation on the association between physical activity and affect was found.

CONCLUSIONS

Motivation and physical activity are momentarily associated with affect among stroke survivors. Assessing and fostering autonomous motivation may be beneficial for promoting physical activity and managing positive and depressed affect as stroke survivors return to the community.

Mobile health plus community health worker support for weight management among public housing residents (Path to Health): A randomized controlled trial protocol

Interventions delivered by mobile devices (mHealth interventions) have the potential to increase access to weight management treatment in low-income populations. However, little prior research has examined effects of mHealth programming plus phone-based community health worker (CHW) support for weight management among public housing residents. For our intervention, we first interacted with a community advisory board to collect feedback on proposed intervention components. Transcripts from 5 advisory board meetings were coded and qualitative data was organized into themes. We used these data to inform our ongoing trial, in which public housing residents are randomized to one of three different groups: phone text messaging and digital self-weighing (mHealth only); mHealth intervention plus CHW behavioral phone counseling (mHealth+CHW); or assessment only to evaluate their differential effects on weight loss at 6- and 12-month follow-up. We will examine changes in diet and physical activity behaviors as well as potential mediating and moderating factors. Results of this trial could provide support for technology-based weight management interventions which may have greater potential for scalability and long-term dissemination than face-to-face programming. Clinical Trial Registration Number: NCT04852042.

Associations of physical activity and screen time with suboptimal health status and sleep quality among Chinese college freshmen: A cross-sectional study

This study aimed to investigate the associations of physical activity (PA) and screen time (ST) with physiological, psychological, and social health-particularly regarding effects on sleep quality-among Chinese college freshmen. A cross-sectional survey was conducted at Renmin University of China, in Beijing. A total of 5,233 students were surveyed in September 2015. Participants completed a self-report questionnaire on their demographic characteristics, tobacco and alcohol use, PA, ST, sleep quality, and health status. Multivariate logistic regression was performed to examine the independent and interactive associations between PA and ST with sleep quality and suboptimal health status. In total, 10.43%, 13.18%, and 13.26% of the 5,233 students had physiological, psychological, and social suboptimal health status, respectively. The prevalence of poor sleep quality was 37.94%. High ST and high PA were significantly associated with physiological suboptimal health status (aOR = 1.39, 95% CI: 1.16-1.68, and aOR = 0.55, 95% CI: 0.45-0.71), psychological suboptimal health status (aOR = 1.43, 95% CI: 1.21-1.69, and aOR = 0.57, 95% CI: 0.47-0.69), social suboptimal health status (aOR = 1.27, 95% CI: 1.08-1.50, and aOR = 0.63, 95% CI: 0.52-0.77), and poor sleep quality (aOR = 1.20, 95% CI: 1.03-1.39, and aOR = 0.64, 95% CI: 0.55-0.76). Additionally, low ST and high PA were interactively negatively associated with poor sleep quality (aOR = 0.56, 95% CI: 0.45-0.70), physiological suboptimal health status (aOR = 0.49, 95% CI: 0.40-0.59), psychological suboptimal health status (aOR = 0.48, 95% CI: 0.39-0.58), and social suboptimal health status (aOR = 0.49, 95% CI: 0.40-0.59). These findings suggested there are independent and interactive associations of low ST and high PA with poor sleep quality and suboptimal health status among Chinese college freshmen.

The associations between screen time-based sedentary behavior and depression: a systematic review and meta-analysis

Background

The use of computers/TV has become increasingly common worldwide after entering the twenty-first century and depression represents a growing public health burden. Understanding the association between screen time-based sedentary behavior (ST-SB) and the risk of depression is important to the development of prevention and intervention strategies.

Methods

We searched the electronic databases of Medline, Embase and the Cochrane Library. The odds ratio (OR) with corresponding 95% confidence intervals (CIs) was adopted as the pooled measurement. Subgroup analyses were investigated by stratified meta-analyses based on age, gender and reference group (reference category of screen time, e.g. 2 h/day, 4 h/day).

Results

There were 12 cross-sectional studies and 7 longitudinal studies met the inclusion criteria. Overall, the pooled OR was 1.28 with high heterogeneity (I² = 89%). Compared to those who reported less SB, persons reporting more SB had a significantly higher risk of depression. When the gender was stratified, the pooled OR was 1.18 in female groups while no significant association was observed in males. Among the 19 studies, 5 studies used a reference group with ST = 2 h/days (pooled OR = 1.46), 9 studies used ≥4 h as a reference group (pooled OR = 1.38), 2 studies used 1 h as a reference group (pooled OR = 1.07) and for the remaining 3 studies, hours of ST were calculated as a continuous variable (pooled OR = 1.04).

Conclusions

ST-SB is associated with depression risk and the effects vary in different populations. In addition, valid objective measures of SB should be developed in future studies.

Positive and negative well-being and objectively measured sedentary behaviour in older adults: evidence from three cohorts

Background

Sedentary behaviour is related to poorer health independently of time spent in moderate to vigorous physical activity. The aim of this study was to investigate whether wellbeing or symptoms of anxiety or depression predict sedentary behaviour in older adults.

Method

Participants were drawn from the Lothian Birth Cohort 1936 (LBC1936) (n = 271), and the West of Scotland Twenty-07 1950s (n = 309) and 1930s (n = 118) cohorts. Sedentary outcomes, sedentary time, and number of sit-to-stand transitions, were measured with a three-dimensional accelerometer (activPAL activity monitor) worn for 7 days. In the Twenty-07 cohorts, symptoms of anxiety and depression were assessed in 2008 and sedentary outcomes were assessed ~ 8 years later in 2015 and 2016. In the LBC1936 cohort, wellbeing and symptoms of anxiety and depression were assessed concurrently with sedentary behaviour in 2015 and 2016. We tested for an association between wellbeing, anxiety or depression and the sedentary outcomes using multivariate regression analysis.

Results

We observed no association between wellbeing or symptoms of anxiety and the sedentary outcomes. Symptoms of depression were positively associated with sedentary time in the LBC1936 and Twenty-07 1950s cohort, and negatively associated with number of sit-to-stand transitions in the LBC1936. Meta-analytic estimates of the association between depressive symptoms and sedentary time or number of sit-to-stand transitions, adjusted for age, sex, BMI, long-standing illness, and education, were β = 0.11 (95% CI = 0.03, 0.18) and β = − 0.11 (95% CI = − 0.19, −0.03) respectively.

Conclusion

Our findings indicate that depressive symptoms are positively associated with sedentary behavior. Future studies should investigate the causal direction of this association.

Relationships of Obesity-Related Behavior Patterns With Socioeconomic Status and Acculturation in Korean American Women

There is limited understanding about the obesity-related behaviors of diet, physical activity, and sedentary behavior in Korean American women. The purpose of this study was to cluster obesity-related behavior patterns of Korean American women and to examine group differences in acculturation, socioeconomic status (SES), and body mass index (BMI). A secondary analysis from a cross-sectional study was conducted using two-step cluster analysis for clustering groups. A total of 137 Korean American women (M age = 42.7 years, SD = 3.9 years; M _BMI = 23.1 kg/m², SD = 3.1 kg/m²; 47.7% BMI ⩾ 23 kg/m²) participated. Three clusters were identified: healthy lifestyle, unhealthy lifestyle, and low physical activity but healthy diet group. The unhealthy lifestyle group was more likely to have high acculturation compared with other groups (p = .03). SES and BMI were not significantly different between groups. Further intervention is needed to improve obesity-related behaviors of acculturated Korean American women.

Sex differences in the association of psychological status with measures of physical activity and sedentary behaviour in adults with type 2 diabetes

AIM

To assess the association of psychological variables on leisure-time physical activity and sedentary time in men and women with type 2 diabetes mellitus (T2D).

METHODS

In this cross-sectional study, we evaluated 163 patients with T2D, consecutively recruited at the Diabetes Centre of the Verona General Hospital. Scores on depression and anxiety symptoms, psychosocial factors (including self-efficacy, perceived interference, perceived severity, social support, misguided support behaviour, spouse's positive behaviour), physical activity and time spent sitting were ascertained using questionnaires responses to the Beck Depression Inventory-II, Beck Anxiety Inventory, Multidimensional Diabetes Questionnaire, International Physical Activity Questionnaire.

RESULTS

Physical activity was significantly associated with higher social support in women and with increased self-efficacy in men. Sedentary time was significantly associated with higher perceived interference, anxiety and depressive symptoms, and with reduced diabetes self-efficacy in women, while it was associated solely with anxiety in men. Depressive symptoms and self-efficacy in women and anxiety symptoms in men were independent predictors of sedentary time when entered in a multivariable regression model also including age, BMI, haemoglobin A1c, diabetes duration, perceived interference and self-efficacy as covariates.

CONCLUSIONS

Lower self-efficacy and higher symptoms of depression were closely associated with increased sedentary time in women, but not in men, with T2D. It is possible that individualized behavioural interventions designed to reduce depressive symptoms and to improve diabetes self-efficacy would ultimately reduce sedentary behaviours, particularly in women with T2D.

Association between screen time and depression among US adults

Epidemiological surveys conducted in general populations have found that the prevalence of depression is about 9% in the United States. World Health Organization has projected that depression will be leading cause of disease burden by the year 2030. Growing evidence suggests that sedentary lifestyle is an important risk factor of depression among adults. The relationship between television watching/computer use and depression in US adults is still unknown. The objective of this study was to assess the relationship between television watching/computer use and depression. This is a cross-sectional study that used the secondary data from the National Health and Nutritional Examination Survey (NHANES) (2011/2012). Participants were 3201 US adults who were 20 years or more. Self-reported Patient Health Questionnaire-9 [PHQ-9] was used to classify depression level; self-reported hours of watching TV and use of computer/day, and demographic information were obtained from NHANES data set. SAS®9.4was used to perform all statistical analyses and final model selection procedure. Depression was found to be significantly higher among female. Results showed that moderate or severe depression level was associated with higher time spent on TV watching and use of computer (> 6 h/day) (adjusted odds ratio: 2.3, 95% CI: 1.602–3.442). Duration of screen time was significantly associated when all covariates were adjusted. TV watching and computer use can predict the depression level among adults. Prospective studies and measurement of factors such as: work place sitting, social relationship, and family history of depression are warranted.

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Assess the relationship between television watching/computer use and depression

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Depression was found to be significantly higher among female.

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Moderate or severe depression level was associated with higher screen time.

Prospective associations between sedentary behaviour and incident depressive symptoms in older people: a 15-month longitudinal cohort study

OBJECTIVE

This study aimed to investigate whether sitting time, as a form of sedentary behaviour, is related to incident depressive symptoms in older people.

METHODS

This study included 3503 participants (mean age 71.7 years, 50.1% female) from the 'Obu Study of Health Promotion for the Elderly' cohort study. At baseline and then 15 months later, the participants reported their status of depressive symptoms using the 15-item Geriatric Depression Scale. During the baseline assessment, the participants were also asked about their sedentary behaviour on weekdays over the past 7 days and, from there, categorized into three groups (<240, 240-480, ≥480 min/day). Demographic data and the other health behaviours were also assessed at the baseline.

RESULTS

Cross-sectional analysis revealed that 437 participants (12.0%) had depressive symptoms. In a prospective analysis, the logistic regression model revealed that the odds ratio for depressive symptom incidence was higher in participants who, at baseline, spent 480 min or more per day sitting (1.636; 95% confidence interval [CI] 1.015 to 2.636, p = 0.043), and in those who spent 240-480 min (1.605; 95% CI 1.085 to 2.375, p = 0.018) in comparison with those who spent less than 240 min.

CONCLUSIONS

Sedentary behaviour significantly affects the risk of incident depressive symptoms. Further research is needed to develop an intervention strategy to manage depressive symptoms, as the second most common cause of burden of disease among older adults. Copyright © 2016 John Wiley & Sons, Ltd.

Sitting-Time and Exercise Predict Depressive Symptoms Among Taiwanese Middle-Aged Adults

BACKGROUND

Exercise and sitting-time may influence depressive symptoms.

OBJECTIVE

The purpose of this study was to examine the relationship between sitting-time, exercise, and depressive symptoms among middle-aged adults.

DESIGN

Data from community-based physical examinations between 2013 and 2014 in northern Taiwan were used for this cross-sectional study. We collected demographic data and data on exercise behaviours, sitting-time, and depressive symptoms.

RESULTS

A total of 655 participants completed this survey. Of these, 21.2% had depressive symptoms, 33.7% had regular exercise habits, and 24.1% reported a daily average sitting-time of more than 6 hours. Subjects who had regular exercise with lower sitting-time (odds ratio [OR] = 0.49), subjects who had regular exercise with higher sitting-time (OR = 0.55), and subjects who did not have regular exercise with lower sitting-time (OR = 0.34) had less prevalence of depressive symptoms compared to subjects without regular exercise and with higher sitting-time.

CONCLUSIONS

Middle-aged adults must exercise regularly and reduce sitting-time to prevent depressive symptoms.

Cognitive and Motivational Factors Associated with Sedentary Behavior: A Systematic Review

Excessive time spent in sedentary behavior (SB) is associated with numerous health risks. These associations remain even after controlling for moderate-to-vigorous physical activity (PA) and body mass index, indicating that efforts to promote leisure time physical activity alone are insufficient. Cognitive and motivation variables represent potentially modifiable factors and have the potential of furthering our understanding of sedentary behavior. Hence, a systematic review was conducted to synthesize and critique the literature on the relationship between cognitive and motivational factors and sedentary behaviors. In April 2016, four electronic databases (Psych info, Pub Med, SPORTDiscus, Web of Science) were searched and a total of 4866 titles and abstracts were reviewed. After meeting inclusion criteria, study characteristics were extracted and the methodological quality of each study was assessed according to the Downs and Black Checklist. PRISMA guidelines for reporting of systematic reviews were followed. Twenty-five studies (16 cross-sectional, 8 longitudinal and one examining two populations and employing both a cross-sectional and prospective design) assessed 23 different cognitive and motivational factors. Seventeen studies were theory-based and 8 did not employ a theoretical model. Results showed that among SB-related cognitions, risk factors for greater sedentary time included having a more positive attitude towards SB, perceiving greater social support/norms for SB, reporting greater SB habits, having greater intentions to be sedentary, and having higher intrinsic, introjected, and external motivation towards SB. Protective factors associated with lower sedentary time included having greater feelings of self-efficacy/control over SB and greater intentions to reduce SB. Among PA-related cognitions, protective factors for lower SB included a more positive attitude towards PA, having greater social support/norms for PA, greater self-efficacy/control for PA, higher PA intentions, and higher intrinsic and identified motivation towards PA. In addition, feeling more supported and empowered in general was related with lower levels of SB. The average methodological quality score for included studies was 69% (SD = 9.15%; range 35–80%). In conclusion, a number of cognitive and motivational factors were identified that were associated with sedentarism. These findings have come from reasonably high quality studies. To further extend our understanding of the relation between cognitive and motivational factors and SB, more longitudinal, theory-driven studies examining cognitions and motivation from a sedentary perspective are required.

Parental perceptions of technology and technology-focused parenting: Associations with youth screen time

In the present study we propose a model linking parental perceptions of technology to technology-related parenting strategies to youth screen time, and, finally, to internalizing and externalizing problem behaviors. Participants were 615 parents drawn from three community samples of families with children across three developmental stages: young childhood, middle childhood, and adolescence. The model was tested at each stage with the strongest support emerging in the young childhood sample. One component of parental perceptions of technology, perceived efficacy, was related to technology-related parenting strategies across developmental stages. However, the association of these strategies to child screen time and, in turn, problem behaviors, diminished as children increased in age. Implications for intervention are considered.

Associations between television watching and car riding behaviors and development of depressive symptoms: a prospective study

OBJECTIVE

To examine the longitudinal association between sedentary behaviors and risk of development of depressive symptoms.

PATIENTS AND METHODS

The study population consisted of 4802 participants in the Aerobics Center Longitudinal Study (1012 women and 3790 men) aged 18 to 80 years who did not report depressive moods when they completed a health survey during 1982 in which they reported their time spent watching television (TV) and riding in a car each week. All participants completed a follow-up health survey when they responded to the 10-item Center for Epidemiologic Studies Depression Scale. Those who scored 8 or more on the Center for Epidemiologic Studies Depression Scale were considered to have depressive symptoms.

RESULTS

Among the 4802 participants, 568 reported depressive symptoms during a mean follow-up of 9.3 years. After multivariate adjustment including moderate- and vigorous-intensity physical activity, time riding in a car, time watching TV, and combined time spent in the 2 sedentary behaviors were positively associated with depressive symptoms (each P<.05 for trend). Individuals who reported 9 h/wk or more riding in a car, more than 10 h/wk watching TV, or 19 h/wk or more of combined sedentary behavior had 28%, 52%, and 74% greater risk of development of depressive symptoms than those who reported less than 5 h/wk, less than 5 h/wk, or less than 12 h/wk, respectively, after adjusting for baseline covariates and moderate- and vigorous-intensity physical activity. The positive association between time riding in a car or time watching TV and depressive symptoms was only observed among individuals who did not meet the current physical activity guidelines.

CONCLUSION

More time reported in these 2 sedentary behaviors was positively associated with depressive symptoms. However, the direct associations between time spent in car riding and TV viewing and depressive symptoms were only significant among those who did not meet the current physical activity recommendations.

Objective indicators of physical activity and sedentary time and associations with subjective well-being in adults aged 70 and over

This study explored the associations of the volume and intensity of physical activity and the volume of sedentary time with subjective well-being in a diverse group of 228 older adults in the UK (111 female, mean age 78.2 years (SD 5.8)). Physical activity (PA) and sedentary behaviour were assessed by accelerometry deriving mean steps per day, mean moderate/vigorous PA minutes per hour (MVPA min · h(-1)) and minutes of sedentary time per hour (ST min · h(-1)). Lower limb function was assessed by the Short Physical Performance Battery. Subjective well-being was assessed using the SF-12 health status scale, the Ageing Well Profile and the Satisfaction with Life Scale. Linear regressions were used to investigate associations between the independent variables which included physical activity (steps and MVPA), sedentary time, participant characteristics (gender, age, BMI, education, number of medical conditions), and lower limb function and dependent variables which included mental and physical well-being. Steps, MVPA and lower limb function were independently and moderately positively associated with perceived physical well-being but relationships with mental well-being variables were weak. No significant associations between sedentary behaviours and well-being were observed. The association between objectively evaluated physical activity and function and subjective evaluations of physical well-being suggest that improving perceptions of physical health and function may provide an important target for physical activity programmes. This in turn may drive further activity participation.