Leisure-time sedentary behaviors are differentially associated with all-cause dementia regardless of engagement in physical activity.

Sedentary behavior (SB) is associated with cardiometabolic disease and mortality, but its association with dementia is currently unclear. This study investigates whether SB is associated with incident dementia regardless of engagement in physical activity (PA). A total of 146,651 participants from the UK Biobank who were 60 years or older and did not have a diagnosis of dementia (mean [SD] age: 64.59 [2.84] years) were included. Self-reported leisure-time SBs were divided into two domains: time spent watching television (TV) or time spent using a computer. A total of 3,507 individuals were diagnosed with all-cause dementia over a mean follow-up of 11.87 (±1.17) years. In models adjusted for a wide range of covariates, including time spent in PA, time spent watching TV was associated with increased risk of incident dementia (HR [95% CI] = 1.24 [1.15 to 1.32]) and time spent using a computer was associated with decreased risk of incident dementia (HR [95% CI] = 0.85 [0.81 to 0.90]). In joint associations with PA, TV time and computer time remained significantly associated with dementia risk at all PA levels. Reducing time spent in cognitively passive SB (i.e., TV time) and increasing time spent in cognitively active SB (i.e., computer time) may be effective behavioral modification targets for reducing risk of dementia regardless of engagement in PA.

Nonrelocatable Occupations at Increased Risk During Pandemics: United States, 2018.

Objectives. To characterize which occupations in the United States could likely work from home during a pandemic such as COVID-19.Methods. I merged 2018 US Bureau of Labor Statistics (BLS) national employment and wage data with measures ranking the importance of computer use at work and the importance of working with or performing for the public from the BLS O*NET survey.Results. Approximately 25% (35.6 million) of US workers are employed in occupations (such as technology, administrative, financial, and engineering) that could be done from home; the remaining 75% work in occupations (including health care, manufacturing, retail, and food services) that are challenging to do from home.Conclusions. Most US workers are employed in occupations that cannot be done at home, putting 108.4 million workers at increased risk for adverse health outcomes related to working during a pandemic. These workers tend to be lower paid. The stress experienced by lower-income groups, coupled with job insecurity, could result in a large burden of mental health disorders in the United States in addition to increased cases of COVID-19 from workplace transmission.

Social inequalities in traditional and emerging screen devices among Portuguese children: a cross-sectional study.

BACKGROUND: Children are often exposed to too much screen time but few studies have explored the use of old and new digital media among young children. This study assesses screen time, including traditional and mobile devices, in pre-school and elementary school-aged children, according to their gender, age, and socioeconomic position (SEP). METHODS: A total of 8430 children (3 to 10 years; 50.8% boys) from the north, center and south-central Portugal were included in the present study. Data was collected by a parental questionnaire during 2016/2017. Children's screen time (by media device, weekdays and at the weekend; calculated by mean minutes per day) were reported by parents. Analysis were carried to compare screen time by children's age, gender and family SEP (classified using father's educational degree). RESULTS: Daily screen time was high both in children aged 3 to 5 and 6 to 10 years - 154 min/day (95% CI: 149.51-158.91) and 200.79 min/day (95% CI: 197.08-204.50), respectively - and the majority of children, independently of their gender, exceed the recommended 2 h/day of screen viewing. Children are still primarily engaging in screen time through television but the use of mobile devices, particularly tablets, were already high among 3 year-old children and increased with age. SEP was a negative predictor of screen time in the linear regression analysis, including after adjustment. CONCLUSIONS: Considering the negative health impacts of excessive screen time, recognizing subgroups at risk of excessive screen time and identifying how each device is used according to age is fundamental to enable appropriate future interventions. The screen time in children aged 3-10 years is longer than the recommended, particularly among boys and in those children from lower SEP. Parents and policymakers should have in mind that children spend most of their screen time watching television but mobile devices are becoming extremely popular starting at a young age.

Prevalence of primary headache disorders among information technology staff in China: the negative effects of computer use and other correlative factors.

BACKGROUND: To date, there have been very few studies that have explored the relationship between headaches and computer use. The chief aim of this study is to investigate the prevalence of primary headache disorders among informational technology staff and identify the potential factors contributing to it. METHODS: This is a cross-sectional study based on annual health checks of employees from the information technology industry. We identified 2216 information technology staff members from Beijing by stratified random sampling who met the inclusion criteria. All participants were initially required to have a physical examination, after which they complete a general situation questionnaire that included a headache screening question. Those who had suffered from headache within the previous year also completed the questionnaire developed by Lifting the Burden. The International Classification of Headache Disorders 3(ICHD-3) criteria was used for the diagnosis of headache. RESULTS: A total of 2012 valid questionnaires (males, 1544 [76.7%]; females, 468 [23.3%]) were obtained from 2216 participants for a response rate of 90.8%. A total of 619 participants were diagnosed with primary headache, the one-year prevalence of which was 30.8%. Regarding the classification of the primary headache, 152 participants suffered from migraine, with a one-year prevalence of 7.6%; 440 and 27 suffered from tension-type headache and unclassified headaches, with one-year prevalences of 21.9 and 1.3%, respectively. Multivariate regression analysis showed that female gender was a risk factor for migraine and tension-type headache (OR 3.21[95% CI 2.28-4.53] and 1.88[95% CI 1.47-2.40], respectively). Age was also related to migraine and tension-type headache. The 41-50 age group had 2.02 times the probability of migraine, and the 31-40 age group had 1.89 times the probability of tension-type headaches compared to the 18-30 age group. Obesity and excessive computer use (more than 12 h per day) were also factors contributing to tension-type headache (OR: 2.61[95% CI 1.91-3.56] and 1.63[95% CI 1.18-2.25], respectively). CONCLUSIONS: The one-year prevalence of primary headache in this population was 30.8%. The prevalence of tension-type headache in this population was higher than that in the general Chinese population. The occurrence of primary headache is correlated with many factors, among which excessive computer use significantly contributed to the risk of tension-type headache.

The effect of using entertainment and communication devices before sleep on nocturnal enuresis.

BACKGROUND: Monosymptomatic nocturnal enuresis (MNE) is a common urological problem. The association between the use of entertainment and communication devices (EECDs) at night and enuresis in MNE patients has yet to be reported in the literature. This study aims to determine if an association exists between the use of EECDs before sleep and nocturnal enuresis. METHODS: Patients with MNE who presented to the pediatric nephrology department of the center between January 30, 2019 and June 30, 2019 were included in the study. A questionnaire was administered both to the patients and to an age- and sex-matched control group to garner details of sleeping features and duration of exposure to EECDs before sleep. A comparison was then made of the answers provided by the patient and control groups. RESULTS: The study included 138 patients (65 females; 73 males) and 104 controls (44 females; 60 males). The patients who used EECDs for more than 3 h a day before sleep suffered more frequently from bedwetting than those who used EECDs for fewer than 3 h a day (P = 0.007). The time of exposure to EECDs before sleep in the patient group was longer than in the control group (P < 0.001). CONCLUSIONS: The use of EECDs for more than 3 hours before sleep is associated with bedwetting and enuresis frequency in patients with MNE. Patients suffering from MNE should be advised not to use EECDs before sleep.

Screen time and sleep disorder in preschool children: identifying the safe threshold in a digital world.

OBJECTIVES: Sleep disorder is a common problem in children that can jeopardize their health and well-being. With the popularity of electronic devices such as portable tablets and smartphones in the 21st century, children are spending much more time on screen, but the impact of such change on children's sleep disorder has been less investigated so far. This study aims to examine the dose-response association between time spent on different electronic devices and children's sleep disorder. STUDY DESIGN: The design of this study is a cross-sectional study. METHODS: We randomly selected 2278 children aged 3-6 years from 15 kindergartens in Tongling, China. The potentially non-linear association between screen-viewing time (i.e. television [TV], computer, iPad, Phone) and the risk of sleep disorder was examined using a logistic generalized additive model. RESULTS: We observed a J-shaped association between TV viewing time and the risk of sleep disorder, with a threshold of 1 h/day. For each 1 h/day increment in TV viewing time over the threshold, the risk of sleep disorder increased by 12.35% (95% confidence interval: 1.87-23.92%). This association seemed to be greater for girls than boys and for TV viewing at weekend than on weekdays, but the difference was not statistically significant (P-value>0.05). We did not find adequate evidence of an adverse effect of more time spent on computer, iPad and Phone. CONCLUSIONS: This study suggests a positive but non-linear relationship between time spent on watching TV and sleep disorder in Chinese preschool children. Setting the TV viewing time limit less than 1 h/day may help reduce the risk of developing sleep disorder. Further investigation is also needed to examine and compare the effects of heavy use of other electronic devices on sleep disorder.

Featured Article: Technology Use and Sleep in Adolescents With and Without Attention-Deficit/Hyperactivity Disorder.

OBJECTIVES: This study used a multi-informant approach to examine differences in types and rates of technology used by adolescents with and without attention-deficit/hyperactivity disorder (ADHD), associations between technology use and sleep/daytime sleepiness, and whether technology use was differentially related to sleep/daytime sleepiness in adolescents with and without ADHD. METHODS: Eighth graders with (n = 162) and without (n = 140) ADHD were recruited. Adolescents completed questionnaires assessing time spent using technology, sleep-wake problems, school-night time in bed, and daytime sleepiness. Parents and teachers reported on adolescents' technology use and daytime sleepiness, respectively. RESULTS: Adolescents with ADHD had significantly greater total technology, television/movie viewing, video game, and phone/video chatting use than adolescents without ADHD. Adolescents with ADHD engaged in twice as much daily video game use compared to those without ADHD (61 vs. 31 min). Controlling for medication use, ADHD status, pubertal development, sex, and internalizing symptoms, greater parent- and adolescent-reported technology use was associated with more sleep-wake problems and less time in bed. ADHD status did not moderate the relations between technology use and these sleep parameters. In contrast, ADHD status moderated the association between parent-reported technology use and teacher-reported daytime sleepiness, such that this association was significant only for adolescents with ADHD. CONCLUSIONS: Technology use, although more prevalent in adolescents with ADHD, is linked with more sleep problems and reduced school-night sleep duration regardless of ADHD status. Technology use is associated with teacher-rated daytime sleepiness only in adolescents with ADHD. Clinicians should consider technology usage when assessing and treating sleep problems.

Associations Between Insurance Provider and Assistive Technology Use for Computer and Electronic Devices 1 Year After Tetraplegia: Findings From the Spinal Cord Injury Model Systems National Database.

OBJECTIVE: To investigate the association between insurance provider and reported assistive technology (AT) use to access computers and electronic devices 1 year after sustaining tetraplegia. DESIGN: Multicenter cross-sectional study. SETTING: Participants enrolled in the Spinal Cord Injury Model Systems (SCIMS) National Database. INTERVENTIONS: Not applicable. PARTICIPANTS: Men and women with tetraplegia (N=498) enrolled in the SCIMS National Database were included in the analysis. MAIN OUTCOME MEASURES: The primary study outcome was the use of AT when operating a computer or other mobile electronic device. The primary predictor was the subject's principal health insurance provider, which was grouped into the 3 categories: government (Medicare, Medicaid, and other government), private (private insurance, private funds, and other), and workers' compensation. RESULTS: Overall, 34.7% of participants reported using AT to access computers and electronic devices. Results of logistic regression analysis revealed sex, injury level, injury completeness, self-perceived health status, and 12-month history of pressure ulcer were all significantly associated with AT use. After adjusting for these factors, participants with workers' compensation were more likely to report AT use than individuals with either government or private insurance. CONCLUSIONS: Despite significant technological advances, AT is not readily available to the people who might benefit most from its use. Findings from the present study are the first to shed light on AT funding sources and reveal that individuals with workers' compensation are more likely use AT than individuals with either government or private insurance. Additional work focused on AT use and functional outcomes is needed to assess the effect of barriers to use. Collectively, this work may inform insurers of the importance of having AT available for this unique population to potentially improve quality of life and participation.

Is screen time associated with anxiety or depression in young people? Results from a UK birth cohort.

BACKGROUND: There is limited and conflicting evidence for associations between use of screen-based technology and anxiety and depression in young people. We examined associations between screen time measured at 16 years and anxiety and depression at 18. METHODS: Participants (n = 14,665; complete cases n = 1869) were from the Avon Longitudinal Study of Parents and Children, a UK-based prospective cohort study. We assessed associations between various types of screen time (watching television, using a computer, and texting, all measured via questionnaire at 16y), both on weekdays and at weekends, and anxiety and depression (measured via the Revised Clinical Interview Schedule at 18y). Using ordinal logistic regression, we adjusted for multiple confounders, particularly focussing on activities that might have been replaced by screen time (for example exercising or playing outdoors). RESULTS: More time spent using a computer on weekdays was associated with a small increased risk of anxiety (OR for 1-2 h = 1.17, 95% CI: 1.01 to 1.35; OR for 3+ hours = 1.30, 95% CI: 1.10 to 1.55, both compared to < 1 h, p for linear trend = 0.003). We found a similar association between computer use at weekends and anxiety (OR for 1-2 h = 1.17, 95% CI: 0.94 to 1.46; OR for 3+ hours = 1.28, 95% CI: 1.03 to 1.48, p for linear trend = 0.03). Greater time spent using a computer on weekend days only was associated with a small increased risk in depression (OR for 1-2 h = 1.12, 95% CI: 0.93 to 1.35; OR for 3+ hours = 1.35, 95% CI: 1.10 to 1.65, p for linear trend = 0.003). Adjusting for time spent alone attenuated effects for anxiety but not depression. There was little evidence for associations with texting or watching television. CONCLUSIONS: We found associations between increased screen time, particularly computer use, and a small increased risk of anxiety and depression. Time spent alone was found to attenuate some associations, and further research should explore this.

Screen time among Spanish university students with disabilities: a self-organizing maps analysis.

BACKGROUND: Screen time can play a significant role in the health and quality of life of people with disabilities. However, there is a lack of studies on this issue among people with disabilities, and even fewer in the university setting. Thus, the aim of our study was to explore the relationships between screen time, disability grade, body mass index (BMI), physical activity and sociodemographic variables (gender and socioeconomic status) in university students with different disabilities. METHODS: A cross-sectional study was conducted on a sample of 1091 students with disabilities from 55 Spanish universities. Instruments used for data gathering were the Adolescent Sedentary Activity Questionnaire (ASAQ) and the International Physical Activity Questionnaire-Short Form (IPAQ-SF). A Self-Organizing Maps (SOM) analysis was carried out to explore the relationships between the variables under study. RESULTS: Participants reported high values in overall screen time (5.45 h per day/week), with computers being the media most used (2.45 h per day/week). The SOM analysis showed slightly higher screen time values in women than men. People with a high disability grade spent less screen time than those with lower disability grade. Contradictory results exist when a group of men with the highest BMI had the highest screen time and the lowest physical activity (PA) while women with low BMI show the highest screen time and PA. CONCLUSIONS: Gender and disability grade played a moderating role in screen time among people with disabilities while BMI and PA do not play such a role.

Electronic devices and myopic refraction among children aged 6-14 years in urban areas of Tianjin, China.

PURPOSE: To assess associations between different types of electronic devices, myopic refraction and ocular biometric parameters in children aged 6-14 years in urban areas of Tianjin, China. METHODS: A school-based, cross-sectional study was performed on 566 children (302 boys and 264 girls). The children underwent a comprehensive eye examination, including cycloplegic autorefraction and ocular biometry. The children's parents completed a detailed questionnaire that included each child's demographics, the use of electronic devices and other related risk factors. RESULTS: Myopia was not associated with time spent using various electronic devices. However, the mean spherical equivalent refraction (SER) decreased by 0.28 D (p = 0.042) and 0.33 D (p = 0.018) for each 1-h increase in the time spent using smart phones and computers, respectively. In the multiple linear regression analyses of factors associated with the SER, the standardised coefficient B for time spent reading and writing was approximately four to five times larger than the standardised coefficient for time spent using smart phones or computers. Time spent using tablets and watching television was not significantly associated with the SER. A longer axial length (AL) was associated with more time spent using smart phones (B = 0.23, p = 0.006) and computers (B = 0.26, p = 0.002) but not using tablets (p = 0.45) and watching television (p = 0.45). No significant association was found between other ocular biometric parameters and time spent using various electronic devices. CONCLUSIONS: On average, a more myopic SER and longer AL were both associated with more time spent using smart phones and computers, but not with time spent using tablets and watching television. The magnitude of the association between SER and time spent reading and writing was a substantially larger than that for smart phone or computer use. Different types of electronic devices had differing levels of association with myopic refraction.

Trends in Digital Media Use in Korean Preschool Children.

BACKGROUND: Children today are exposed to various media devices, and their usage of these is increasing. Prior studies have outlined forms of harm this can potentially cause. However, there has been little empirical research on the use of media devices among preschool children in Asia. The aim of this study was to examine and analyze longitudinal trends in media device use among Korean preschool children, focusing on the frequency of engagement, time spent with, and ownership of media devices, delineated by sex. METHODS: Four hundred parents of children aged 2-5 years were invited to enroll. The baseline assessment, Wave 1, was conducted between December 2015 and June 2016, and follow-up assessments, Wave 2 and Wave 3, were conducted annually for the following 2 years. Time of media use, frequency of media use, and ownership of media devices (TV, tablet PCs, and smartphones) were investigated. RESULTS: Ownership of tablet PCs increased significantly between Wave 1 and Wave 3 for boys and girls (corrected P < 0.001). Frequency of media use increased significantly between Wave 1 and Wave 3 only in boys' use of tablet PCs (mean difference 0.8 day/wk). Time of media use increased significantly between Wave 1 and Wave 3 for both sexes in all devices, measured by mean difference on weekdays and weekends (TV by 0.6 and 0.7 hr/day, tablet PCs by 0.6 and 0.8 hr/day, and smartphones by 0.4 and 0.4 hr/day). Children spent more time using media devices during weekends than on weekdays. CONCLUSION: This study observed an increase in the tendency of media device use among preschool children in Korea. The patterns of use indicate that paying attention to the types of devices children use is needed, as well as vigilance on weekends.

Use of Smartphones, Computers and Social Media Among People with SMI: Opportunity for Intervention.

Mobile technology provides a unique opportunity to expand access to evidence-based interventions. The objective of this study was to provide an update regarding use of technology in people with serious mental illness (SMI). In 2017, 403 people in treatment for SMI were surveyed. Technology use was common: 65.8% used a smartphone, 53.6% used the Internet on a computer or tablet in the past 6 months, and over two thirds (67.9%) used social media. Rates of technology and Facebook use were similar to rates among low-income Americans. Approximately three quarters were willing to use a device to access interventions for stress, health and mental health. Younger adults were more likely to use most forms of technology and social media compared to older adults, but willingness to try technology-delivered interventions did not vary by age. This survey supports the rationale for ongoing development and testing of digital interventions for people with SMI.

Media Use Is Linked to Lower Psychological Well-Being: Evidence from Three Datasets.

Adolescents spend a substantial and increasing amount of time using digital media (smartphones, computers, social media, gaming, Internet), but existing studies do not agree on whether time spent on digital media is associated with lower psychological well-being (including happiness, general well-being, and indicators of low well-being such as depression, suicidal ideation, and suicide attempts). Across three large surveys of adolescents in two countries (n = 221,096), light users (<1 h a day) of digital media reported substantially higher psychological well-being than heavy users (5+ hours a day). Datasets initially presented as supporting opposite conclusions produced similar effect sizes when analyzed using the same strategy. Heavy users (vs. light) of digital media were 48% to 171% more likely to be unhappy, to be in low in well-being, or to have suicide risk factors such as depression, suicidal ideation, or past suicide attempts. Heavy users (vs. light) were twice as likely to report having attempted suicide. Light users (rather than non- or moderate users) were highest in well-being, and for most digital media use the largest drop in well-being occurred between moderate use and heavy use. The limitations of using percent variance explained as a gauge of practical impact are discussed.

Switched on or switched off? A survey of mobile, computer and Internet use in a community mental health rehabilitation sample.

BACKGROUND: UK society is undergoing a technological revolution, including meeting health needs through technology. Government policy is shifting towards a "digital by default" position. Studies have trialled health technology interventions for those experiencing psychosis and shown them to be useful. AIMS: To gauge levels of engagement with mobile phones (Internet-enabled or cell phone), computers and the Internet in the specific population of community mental health rehabilitation. METHOD: Two surveys were conducted: with service-users on use/non-use of technologies, and interest in technology interventions and support; and with placements on facilities and support available to service-users. RESULTS: Levels of engagement in this population were substantially less than those recorded in the general UK and other clinical populations: 40.2% regularly use mobiles, 17.5% computers, and 14.4% the Internet. Users of all three technologies were significantly younger than non-users. Users of mobiles and computers were significantly more likely to live in lower support/higher independence placements. Of surveyed placements, 35.5% provide a communal computer and 38.7% IT skills sessions. CONCLUSIONS: Community mental health rehabilitation service-users risk finding themselves excluded by a "digital divide". Action is needed to ensure equal access to online opportunities, including healthcare innovations. Clinical and policy implications are discussed.

Doctor, Should I Use Computer Games to Prevent Dementia?

Commercial advertising of computerized "brain games" may result in clinicians being asked whether brain games prevent dementia. To address this question, we conducted a review of computerized cognitive training (CCT) interventions in older adults with Mild Cognitive Impairment (MCI). Studies were identified using a PubMed and PSYCinfo search for review articles. Within 11 review articles we identified 15 unique studies. Nine of these studies used commercially available "brain games" as their primary CCT intervention. Nine of 12 studies that examined the effect of CCT on episodic memory performance showed significant improvements in this domain. Furthermore, four of six studies that examined mood and or anxiety showed improvements in these domains following a CCT intervention. While more than double the amount of time was spent on the training that used commercially available "brain games" versus those designed by investigators, there were no differences in outcomes. Overall, it appears that "brain games" may modestly benefit aspects of cognition and aspects of mood in patients presenting with MCI. However, there is no direct evidence from the studies presented here that "brain games"/CCT can prevent dementia. We present recommendations to consider when discussing "brain games" with persons with MCI.

Physical activity and screen-based recreation: Prevalences and trends over time among adolescents and barriers to recommended engagement.

Adolescence is a critical time for disengagement from physical activity making young people a priority group for interventions. To determine whether existing initiatives are working in this population segment and help inform future programs, the present study sought to (i) examine prevalences and trends in physical activity and screen-based recreation among Australian adolescents and (ii) identify the barriers to adolescents meeting recommended guidelines. Two cross-sectional representative samples of Western Australian secondary school students aged 12 to 17years were surveyed in 2009-2010 (n=1505) and 2012-2013 (n=1406). Around a quarter (24%) of boys and just 9% of girls reported engaging in the recommended 60min of physical activity per day in 2012-2013. A minority (13% of boys, 17% of girls) adhered to guidelines for time spent engaging in screen-based recreation (≤2h of electronic media use for entertainment). These findings were comparable to 2009-2010 prevalence levels. Multivariable logistic regression analyses conducted on data from the most recent wave found individual-level barriers to be significantly associated with lower odds of meeting physical activity guidelines in both boys (Adj. OR=0.52, 95% CI=0.38, 0.72) and girls (Adj. OR=0.41, 95% CI=0.25, 0.66). The consistently high proportion of adolescents not meeting physical activity recommendations over time suggests that current efforts to increase physical activity may be failing to have an impact on population-level trends in compliance. While initiatives to improve the built environment may reduce barriers at the environmental level, these initiatives risk having little impact on physical activity if individual level barriers remain unaddressed.

Socioeconomic position and sedentary behavior in Brazilian adolescents: A life-course approach.

Socioeconomic position (SEP) is a potential correlate of sedentary behavior in adolescents. The aim of this study was to examine the associations between SEP and self-reported and objective measures of sedentary behavior in adolescents, using a life-course approach. Data from the 1993 Pelotas (Brazil) Birth Cohort Study were analyzed (N=5249). Cross-sectional and longitudinal associations between multiple SEP indicators (maternal education, family income, SEP composite, cumulative family income) at birth, 11, 15 and 18years, and five sedentary behavior outcomes (≥4h/day screen time; ≥4h/day TV; ≥2h/day computer; ≥2h/day video game; ≥12.7h/day objectively measured sedentary time) at 11, 15 and 18years, were examined. In cross-sectional analyses, higher SEP was positively associated with more screen time at ages 11 and 15years. There was a consistent and positive association between higher SEP with time spent using a computer, and with sedentary time assessed through accelerometry. SEP at birth had a positive and direct effect on screen, computer and total sedentary time at 18years. Participants in the highest cumulative income group had higher odds of high sedentary behavior in screen (OR: 2.40; 95% CI: 1.50-3.54), computer (OR: 7.35; 95% CI: 4.19-12.89) and total sedentary time (OR: 5.40; 95% CI: 3.53-10.35), respectively, compared with their counterparts with lower cumulative income. Our findings showed that SEP is an early determinant of sedentary behavior in adolescents.

Sedentary behaviors, physical activity, and changes in depression and psychological distress symptoms in older adults.

BACKGROUND: Television (TV) viewing and computer use have been associated with higher risk of depression, but studies specifically assessing the impact of these and other types of sedentary behaviors (SBs) on the mental health of older adults are scarce and their results are inconclusive. Similarly, the association between specific types of recreational physical activity (rPA) and mental health in older adults is poorly understood. METHODS: In 2012, information on SBs, rPA, and other health behaviors was collected with validated questionnaires from community-dwelling older adults participating in the Seniors-ENRICA cohort. In 2012 and 2015, symptoms of depression and mental distress were assessed using the GDS-10 and the General Health Questionnaire-12 (GHQ-12), respectively. RESULTS: Time spent watching TV was prospectively associated with higher (worse) GDS-10 scores in women (ß [95% confidence interval (CI)] comparing the second and third tertiles of TV viewing to the first: 0.21 [-0.04 to 0.46] and 0.37 [0.13-0.62], respectively; P-trend: < 0.01), but not in men (-0.11 [-0.35 to 0.13] and -0.18 [-0.44 to 0.08]; P-trend: 0.16). Women, but not men, who spent more time in other SBs, including reading, using the computer and commuting, showed a lower number of depressive symptoms (-0.19 [-0.44 to 0.06] and -0.34 [-0.60 to -0.08]; P-trend: 0.01) and lower (better) GHQ-12 scores (-0.33 [-0.67 to -0.00] and -0.35 [-0.69 to -0.00]; P-trend: 0.05) at follow-up. Both in men and women, higher levels of rPA, such as walking, practicing sports, and do-it-yourself activities, were associated with lower GDS-10 scores (-0.07 [-0.25 to 0.11] and -0.19 [-0.36 to -0.01]; P-trend: 0.04) and with lower GHQ-12 scores (-0.02 [-0.26 to 0.22] and -0.23 [-0.47 to -0.00]; P-trend: 0.06). CONCLUSIONS: Older women who spent more time watching TV and less time in other SBs showed a higher number of depressive symptoms. Data suggest that increasing rPA may improve mental health in older adults, particularly among women.