High Sedentary Behavior Research Articles

PO137 Gender Differences In Physiological and Behavioral Risk Factors Among Patients With Acute Myocardial Infarction: Findings From the Yoga-Care Trial

The directionality of the associations of domain-specific physical activity (PA) and sedentary behaviour (SB) with health-related quality of life (HRQoL) in adults remain insufficiently known. This study investigated the longitudinal associations of 10-year cumulative levels of PA and SB with HRQoL and the reverse associations.A sample of 2093 (47.8% men) participants from a cohort of French adult (SU.VI.MAX) was included. Data were collected at 3 time points (1998, 2001 and 2007) using the Modifiable Activity Questionnaire (MAQ) for PA (leisure-time and occupational) and SB (screen-viewing, reading and total sitting time) and the DUKE Health Profile for HRQoL. The cumulative level (from 0 to 3) referred to the number of time points where a high PA level, high SB or good HRQoL was reported. Regression models examined the 10-year cumulative level of PA, SB as predictors of HRQoL and reverse associations.The 10-year cumulative level of high PA, both leisure-time and occupational, predicted a higher HRQoL while the 10-year cumulative level of high screen-viewing time and high total sitting time was associated with lower HRQoL. For the reverse association, cumulative level of good HRQoL predicted more leisure-time PA, less screen-viewing time and less total sitting time but was not related to occupational PA.Relationships between PA, SB and HRQoL are complex and should not be oversimplified in one or the other direction. Taking into account domain-specific PA and SB in health promotion programs appears of prime importance to design interventions aiming at improving HRQoL.

Accelerometer-Measured Physical Activity and Sedentary Behavior: A Cross-Sectional Study of Brazilian Older Adults.

To examine the level of physical activity and sedentary behavior (SB), measured with accelerometers, in older adults from a city in southern Brazil according to sociodemographic and health characteristics. The sample consisted of 425 older adults (≥63y) from the EpiFloripa Aging Study. Light physical activity (LPA), moderate to vigorous physical activity (MVPA), and SB were measured with accelerometers over a period of 7 days. The older adults spent two-thirds of the time of use in SB, one-third in LPA, and only 2.1% (95% confidence interval, 1.8-2.2) in MVPA. In the final adjusted model, lower levels of MVPA were observed for women, as well as higher SB and lower LPA and MVPA for those with higher age. There were also trends toward prolonged SB and lower LPA when participants had a higher educational level and toward lower MVPA with higher body mass index. Constant monitoring of physical activity levels and SB using objective measures is recommended and interventions should be directed at the groups most exposed to excessive SB and low levels of MVPA.

Sedentary behavior is associated with physical activity, functional capacity, and a history of stroke in patients with heart failure. A cross-sectional study

Aims: Sedentary behavior (SB) has emerged as an important risk factor for poor health. Evidence showed that patients with heart failure (HF) exhibit high levels of SB, and that high SB increases mortality among such patients. We aimed to identify factors associated with SB in HF patients. Methods: A cross-sectional study was carried out with adults with HF and categorized under New York Heart Association (NYHA) functional class I-III. Sociodemographic, clinical, and health information were gathered. Evaluation of SB (by sitting time) and moderate-to-vigorous physical activity (MVPA) was performed by self-reported measures. Functional capacity was assessed using the Duke Activity Status Index. Simple and multivariate linear regression analyses were performed to identify the most suitable predictive model. Results: The sample (n = 80) comprised predominantly of patients in functional class I, men, and with an average age of 50.8 years. Time spent on SB totaled to 7.69 ± 2.35 h/day. Weekly volume of MVPA, functional capacity, and previous stroke were predictors of higher SB. Using simple linear regression analysis, the variables body mass index, quality of life, NYHA functional class, total comorbidities, dyslipidemia, MVPA in the leisure domain, and the use of diuretics, statins, and sildenafil were shown to have a statistically significant association with SB. Conclusion: In patients with HF, a longer time spent in SB was associated with low volumes of MVPA, low functional capacity, and history of stroke. More studies are needed to corroborate these findings.

Correlates of sedentary behavior in middle-aged and old age people with mild cognitive impairment: a multinational study

This was a cross-sectional study. Data from the World Health Organization's Study on Global Ageing and Adult Health were analyzed. Individuals aged ≥50 years with MCI were included. SB was assessed by the Global Physical Activity Questionnaire. Associations between SB levels and the correlates were examined using multivariable linear and logistic regressions. 4,082 individuals aged ≥50 years with MCI (64.4 ± 17.0 years; 55.1% female) were included. The prevalence of high SB (i.e., ≥8 hours/day) was 14.0% (95%CI = 12.2%-16.0%), while the time spent sedentary was 262 ± 290 minutes/day. Correlates significantly associated with being sedentary ≥8 hours/day and time spent sedentary per day were, older age, being unemployed, depression, sleep problems, obesity (vs. normal weight), diabetes, stroke, poor self-rated health, and lower levels of social cohesion. Future research exploring interventions to reduce SB in people with MCI should target the identified sociodemographic and mental and physical health correlates, while the promotion of social cohesion may have the potential to increase the efficacy of future public health initiatives.

Results from the Hong Kong's 2018 report card on physical activity for children and youth

Background/objectiveThe Active Healthy Kids 2018 Hong Kong Report Card provides evidence-based assessment across 12 indicators of physical activity behaviors, sleep, and related community and government initiatives for children and youth. MethodsThe systematic development process provided by the Active Healthy Kids Global Alliance was used. The best available data from the past 10 years were reviewed by a panel of experts. According to predefined benchmarks, letter grades were assigned to 12 indicators (Overall Physical Activity, Organized Sport Participation, Active Play, Active Transportation, Sedentary Behaviors, Physical Fitness, Sleep, Family, School, Community and Environment, Government, and Obesity). ResultsThree of the five activity behaviors received C- or C grades: Overall Physical Activity (C-), Sedentary Behaviors (C-), and Organized Sport Participation (C). Active Transportation was graded B + . Same to the 2016 Hong Kong Report Card, Active Play could not be graded. School and Government were graded C. Family and Community and Environment was graded D- and B, respectively. Three new indicators were added after the 2016 Report Card and they were graded from C- (Sleep) to D (Physical Fitness) or D- (Obesity). ConclusionsChildren and youth in Hong Kong have low physical activity and physical fitness levels and high sedentary behaviors despite a generally favorable community environment. A high prevalence of obesity and low levels of family support warrant more public health action. Researchers should address the surveillance gap in active play and peer support.

Patterns of accelerometer-based sedentary behavior and their association with cardiorespiratory fitness in adults.

We aimed to identify patterns of sedentary behavior (SB) and examined whether cardiorespiratory fitness differs between classes with distinct patterns of SB. One hundred and seventy participants (57% women, mean age = 56.4 years) received accelerometry monitoring for 7 days. Prior to accelerometry assessment, cardiorespiratory fitness was assessed by peak oxygen uptake (VO2peak ). VO2peak was directly measured during a symptom-limited cardiopulmonary exercise testing on a cycle ergometer. Patterns in accelerometer data were classified based on time spent in SB per day using growth mixture modeling. Model-implied class-specific VO2peak means were compared using adjusted equality test of means. Growth mixture modeling revealed four patterns of SB: "High, stable" (n = 120, M = 724.9 min/d), "Low, increase" (n = 14, M = 622.2 min/d), "Low, decrease" (n = 11, M = 540.2 min/d), and "High, decrease" (n = 25, M = 694.8 min/d). Persons in class "High, stable" had significantly lower VO2peak values (M = 25.0 mL/kg/min, SD = 0.6) compared to persons in class "Low, increase" (M = 30.5 mL/kg/min, SD = 3.6; P = 0.001), in class "Low, decrease" (M = 30.1 mL/kg/min, SD = 5.0; P = 0.009), and in class "High, decrease" (M = 29.6 mL/kg/min, SD = 5.9; P = 0.032). No differences among the other classes were found. We identified four classes of individuals with distinct patterns of SB and showed that VO2peak partially differs between classes. Especially, individuals with stable high SB levels throughout the week might be addressed in public health recommendations and interventions.

Women's heart health: a focus on nurses' physical activity and sedentary behaviour.

This review focuses on recent literature examining and targeting the physical activity and sedentary behaviour of nurses. The role of physical activity and sedentary behaviour in preventing and managing cardiovascular disease (CVD) in women is also discussed. Nurses (most of whom are women) represent the largest professional group within the health care workforce and many present with risk factors for CVD (e.g. physical inactivity, sedentary behaviour, overweight/obesity, hypertension, dyslipidemia, diabetes, smoking, depression, anxiety). Several studies have measured the physical activity and sedentary behaviour of nurses and found low levels of physical activity (i.e. most do not meet physical activity guidelines) and high levels of sedentary behaviour (50-60% of the day). Nurses working rotating shifts, 12-h shifts and/or working full-time or part-time (vs. casual) may be at greater risk of physical inactivity; however, the opposite has been observed for sedentary behaviour. Few interventions targeting nurses' physical activity levels have shown promise, but those that have used activity monitors with behavioural strategies; no studies, to date, have evaluated the impact of sedentary behaviour interventions in nurses. Improving the physical activity levels and reducing the sedentary behaviour of nurses is important for nurses' cardiovascular health. There is a need for interventions to address low physical activity and high sedentary behaviour among nurses.

Body dissatisfaction and its relationship with overweight, sedentary behavior and physical activity in survivors of breast cancer.

This study aimed to verify the prevalence of body satisfaction in breast cancer survivors and the association of this variable with overweight, sedentary behavior and physical activity in this population. This is a cross-sectional study realized in Presidente Prudente-Brazil. Breast cancer survivors participated in this study. Questionnaires were used to obtain data on socioeconomic status, body dissatisfaction, sedentary behavior and level of physical activity. The association between body dissatisfaction and the independent variables was verified through binary logistic regression in the unadjusted model and model adjusted by socioeconomic level. A total of 102 breast cancer survivors participated in this study with a mean age of 58.2 (±10.3) years. The prevalence of body dissatisfaction was 75.7%. Body dissatisfaction was higher in women with higher BMI (pvalue = 0.003) and in woman with high sedentary behavior (p-value = 0.049). Women with overweight had 7.87 times more chance of presenting body dissatisfaction. Women who reported hormone therapy were approximately 3 times more likely to be dissatisfacted with their body. Body dissatisfaction was associated with lower age, high sedentary behavior and overweight in breast cancer survivors in the unadjusted analysis. When adjusted for socioeconomic status, only the variables of overweight and hormone therapy were associated with body dissatisfaction.

Correlates of sedentary behavior in the general population: A cross-sectional study using nationally representative data from six low- and middle-income countries.

BackgroundSedentary behavior (SB) is associated with adverse health outcomes independent of levels of physical activity. However, data on its correlates are scarce from low- and middle-income countries (LMICs). Thus, we assessed the correlates of SB in six LMICs (China, Ghana, India, Mexico, Russia, South Africa) using nationally representative data.MethodsCross-sectional, community-based data on 42,469 individuals aged ≥18 years from the World Health Organization’s Study on Global Ageing and Adult Health were analyzed. Self-reported time spent sedentary per day was the outcome. High SB was defined as ≥8 hours of SB per day. The correlates (sociodemographic and health-related) of high SB were estimated by multivariable logistic regression analyses.ResultsThe overall prevalence (95%CI) of high SB was 8.3% (7.1–9.7%). In the overall sample, the most important sociodemographic correlates of high SB were unemployment and urban residence. Physical inactivity, morbid obesity (BMI≥30.0 kg/m2), higher number of chronic conditions, poor self-reported health, higher disability levels, and worse health status in terms of mobility, pain/discomfort, affect, sleep/energy and cognition were associated with high SB. Several between-country differences were found.ConclusionThe current data provides important guidance for future interventions across LMICs to assist sedentary people to reduce their SB levels.

Risk factors for diabetes are higher among non-heterosexual US high-school students.

Low physical activity (PA), high sedentary behavior (SB), and overweight and obesity have been shown to associate with increased Type 2 diabetes risk among adolescents. We investigated PA, SB, and overweight and obesity among Youth Risk Behavior Survey (YRBS) respondents to determine if non-heterosexual youth may be at increased diabetes risk compared to heterosexual youth. Weighted city and state YRBS data were pooled across 44 jurisdictions biennially from 2009 to 2015, resulting in a sample size of 350 673 students. Overall, 88.4% identified as heterosexual, 2.1% as gay or lesbian, 5.7% as bisexual, and 3.7% as unsure. With the exception of lesbian female students, after adjusting for age, race/ethnicity, body mass index, and survey year, all non-heterosexual youth reported significantly fewer days per week of PA compared to their sex-matched heterosexual counterparts. Similarly, compared to heterosexual female youth, bisexual and not sure female youth reported significantly more hours per day of SB. These PA and SB findings remained significant after adjustment for depressive symptoms and in-school bullying among bisexual female youth only. In fully adjusted models, lesbian students were 1.85 times more likely to be overweight and lesbian, bisexual, and not sure female youth were 1.55 to 2.07 times more likely to be obese than heterosexual female students. No significant differences in SB, overweight, or obesity were found among gay, bisexual, or unsure male youth compared to heterosexual male youth. Non-heterosexual youth may be at increased risk for developing type 2 diabetes mellitus compared to heterosexual youth. Future studies should characterize diabetes prevalence among non-heterosexual youth.

Levels of physical activity and excess body weight in university students

University students are considered a vulnerable group due to their adoption of unhealthy diets and lifestyles. To determine the main risk factors associated with low level of physical activity and excess body weight in university students. This cross-sectional study included 358 university students from Talca, (53% female). Sociodemographic, academic, health, lifestyle, nutritional status, physical activity and sedentary behavior variables were analyzed by logistic regression. Men were more likely to present excess body weight than women (Odds ratio (OR): 2.16 [95% CI: 1.17-4.01], p = 0.01). Similarly, those with low level of physical activity (OR: 2.13 [95% CI: 1.10-414], p = 0.03), musculoskeletal injuries (OR: 2.43 [95% CI: 1.09-6.34], p = 0.05) and smokers (OR: 2.09 [95% CI: 1.05-4.14], p = 0.04) were more likely to have excess body weight. Individuals with excess body weight (OR: 2.94 [95% CI: 1.31-6.61], p < 0.01), high sedentary behaviors (OR: 2.01 [95% CI: 1.04-4.55], p = 0.04), those who spent more than 7 hours per week studying (OR: 2.11 [95% CI: 1.06-4.66], p = 0.04), and those with presence of musculoskeletal injuries (OR: 1.49 [95% CI: 1.06- 3.66], p = 0.04) were more likely to be physically inactive. In addition, men were 73% less likely to have low physical activity levels compared to women (OR: 0.27 [95% CI: 0.11-0.56], p < 0.01). University students have several modifiable risk factors associated with low levels of physical activity and excess weight. Healthy lifestyles promotion should modify these risk behaviors.

PHYSICAL ACTIVITY AND FUNCTIONAL FITNESS IN ELDERLY LIVING IN NURSING HOMES OR USING DAY CARE CENTERS: AN EXPLORATORY STUDY

Introduction. The loss of physical functions, health problems, limited support from families and few financial resources, leads to institutionalization (Sullivan &amp; Asselin, 2013). Currently, one of the problems associated with institutionalization is the higher sedentary behavior and consequent loss of autonomy (Liu &amp; Hu, 2015). Therefore, the main purpose of this study was to examine physical activity levels and functional fitness of older adults living in nursing homes or using day care center. Method. Thirty-two older adults (85.5 ± 5.7 years) from both genders participated in this study; 14 nursing home residents and 18 day care center users. Physical activity data were collected through accelerometry. Functional fitness were evaluated with physical fitness field tests. Results: The participants of this study have extremely low levels of functional fitness and physical activity and high levels of sedentary behavior. In nursing home residents (NH), the mean time in sedentary behavior and moderate physical activity was 9h48min/day and 2.2 min/day, respectively. In the same group, the mean time spent in light physical activity was 77.5 min/day. In day care center (DCC) users the mean time in sedentary behavior and moderate physical activity was 7h48min/day and 1.6 min/day, respectively. Older adults attending DCC showed better results than nursing home residents in the chair sit-and-reach test (DCC= -12.4±15.7 cm, NH= -22.3±4.1 cm, p=0.037), 6 min walk (DCC= 270±73.9 min, NH= 167.7±84.4 min, p&lt;0.001) sedentary time (DCC= 7.48±0.2 hours, NH= 9.48±0.94 hours, p&lt;0.01) and average physical activity (DCC= 82.6±18 counts/min, NH= 58.5±30.5 counts/min, p=0.03). The performance in other variables of functional fitness was not statistically different. Conclusions: Functional fitness and physical activity levels are very low in nursing home residents and in elderly users of day care center. Intervention programs are needed for these groups to reverse the decrease of physical fitness and physical activity, and promoting health and functional status.

Diabetes Risk Behaviors Are Higher among Sexual Minority U.S. High School Students

Low physical activity (PA) and high sedentary behavior (SB) are associated with increased type 2 diabetes risk among youth. We investigated PA and SB among Youth Risk Behavior Survey (YRBS) respondents to determine if sexual minority youth may be at increased diabetes risk compared to heterosexual youth. Weighted city and state YRBS data were pooled across 44 jurisdictions biennially from 2009-2015, resulting in a sample size of 97 jurisdiction-years (350,673 students). Respondents had a median age of 16 years, were 50.3% male, and 46.8% white. Overall, 88.4% identified as heterosexual, 2.1% as gay/lesbian, 5.7% as bisexual, and 3.7% as unsure; more female (15.3%) than male (7.7%) students reported a non-heterosexual identity. Among females, bisexual and unsure (but not lesbian) youth reported significantly more hours per day of SB compared to heterosexual peers. We found no significant differences in SB among males. Both female and male sexual minority youth reported significantly fewer days per week of PA compared to sex-matched heterosexual peers. All unadjusted PA and SB findings remained significant after adjusting for age, BMI, race/ethnicity, and survey year, except among lesbian youth. Studies of type 2 diabetes and risk factors among youth need to assess and account for sexual identity to ensure sexual minority populations are a priority target for prevention. Table I. Bold text: Unadjusted p-value significant; *Adjusted p-value &amp;lt;0.001; hetero=referenceSB (95%CI) Hours/DayPA (95% CI) Days/WeekSexual IdentityMaleFemaleMaleFemaleHeterosexual3.7 (3.7-3.8)3.6 (3.6-3.7)4.4 (4.3-4.4)3.4 (3.4-3.6)Gay/Lesbian3.7 (3.4-4.0)3.9 (3.7-4.2)2.8* (2.6-3.1)3.1 (2.9-3.4)Bisexual4.0 (3.7-4.3)4.3* (4.1-4.4)3.1* (2.7-3.4)3.0* (2.8-3.1)Unsure4.0 (3.7-4.4)4.3* (4.0-4.6)3.0* (2.7-3.3)3.0* (2.7-3.4) Disclosure L.B. Beach: None. B. Turner: None. R. Marro: None. G. Phillips: None.

Association of activity status and patterns with salivary cortisol: the population-based CoLaus study

Physical activity (PA) has been shown to influence salivary cortisol concentrations in small studies conducted among athletes. We assessed the association of activity status and patterns with salivary cortisol in the general population. Cross-sectional study including 1948 adults (54.9% women, 45-86years). PA and sedentary behaviour (SB) were measured for 14days by accelerometry. Low PA and high SB status were defined, respectively, as the lowest and highest tertile of each behaviour. 'Inactive', 'Weekend warrior', and 'Regularly active' patterns were also defined. Four salivary cortisol samples were collected over a single day and the following parameters were calculated: area under the curve to ground (AUCg), awakening response (CAR) and diurnal slope. After multivariable adjustment, low SB remained associated to steeper slopes relative to high SB (- 1.54 ± 0.03 vs. - 1.44 ± 0.04nmol/l per hour). Non-significant trends were found for high PA relative to low PA with steeper slopes (- 1.54 ± 0.03 vs. - 1.45 ± 0.04) and lower AUCg (208.7 ± 2.0 vs. 215.9 ± 2.9nmol.h/l). Relative to 'Inactives', 'Regularly actives' had lower AUCg (205.4 ± 2.4 vs. 215.5 ± 2.9) and 'Weekend warriors' had steeper slopes (- 1.61 ± 0.05 vs. - 1.44 ± 0.04). No associations were found for CAR. Low SB and high PA are related to lower cortisol secretion as measured by different parameters of salivary cortisol, but the effects were only modest.

Association of Combined Sedentary Behavior and Diabetes Mellitus with All-Cause Mortality in Brazilian Adults

Diabetes mellitus (DM) is associated with increased specific and all-cause mortality in different populations. Although sedentary behavior (SB) has been identified as a modifiable risk factor for DM, cardiovascular disease, and all-cause mortality, investigations regarding the combined effect of DM and SB on all-cause mortality are scarce. PURPOSE: To investigate the combined effect of DM and SB on all-cause mortality in adults from the Brazilian National Health System (NHS). METHODS: Data were obtained from 970 adults (709 women; mean age 64.7 ± 9.1 years) enrolled in the Brazilian NHS from 2010-2016. Participants were 50 years or older, registered for at least one year in the NHS, and received at least one medical visit in the past six months. SB was estimated via self-reported TV viewing frequency on the Baecke questionnaire and was subsequently classified into thirds: low, middle, and high. For our analysis the low and middle groups were combined to indicate lower level of SB due to the small sample size. Presence of physician-diagnosed DM was assessed via medical record. Mortality was reported by participants’ relatives and confirmed via medical records of the Brazilian NHS. Cox regression determined hazard ratios (HRs) and its 95% confidence intervals (95%CIs). Reference group was lower SB without DM at baseline (health status, sociodemographic and behavioural covariates were potential confounders). RESULTS: In overall sample, 276 (28%) had DM, 210 (21.6%) had high SB, and 62 (6.4%) had both DM and high SB at baseline (89 deaths were registered). In the adjusted model, the combination of DM and high SB was associated with greater risk of all-cause mortality (HR: 3.38; 95%CI = 1.86-6.13) compared to those without DM who also did not have high SB at baseline. The presence of DM (HR: 1.33; 95%CI = 0.76-2.34) or high SB alone (HR: 1.16; 95%CI = 0.62-2.17) were not significantly different from referent group. CONCLUSION: In this sample, the combination of both DM and high SB (but not DM and SB alone) had more than three times greater risk for all-cause mortality compared to those without DM and high SB. Supported by São Paulo Research Foundation (FAPESP) Grant 2015/17777-3 and 2016/11140-6.

Mild cognitive impairment and sedentary behavior: A multinational study.

Sedentary behavior (SB) is associated with poor cognitive performance. However, the contribution of sedentary time to risk of mild cognitive impairment (MCI) remains unclear. This study assessed the association of SB with MCI in six low- and middle-income countries. The Study on Global Ageing and Adult Health (SAGE) survey included 34,129 adults aged ≥50 years [mean (SD) age 62.1 (15.6) years; 51.7% females]. SB was self-reported and expressed as a categorical variable [<8 or ≥8 h per day (high SB)]. The definition of MCI was based on the recommendations of the National Institute on Ageing-Alzheimer's Association. Multivariable logistic regression analysis was conducted to assess the association between SB and MCI. The overall prevalence (95%CI) of MCI and high SB (i.e., ≥8 h/day) were 15.3% (14.4%-16.3%) and 10.1% (9.0%-11.3%), respectively. After adjustment for potential confounders, being sedentary for ≥8 h/day was associated with a 1.56 (95%CI = 1.27-1.91) times higher odds for MCI. A one-hour increase in SB was associated with a 1.08 (95%CI = 1.05-1.11) times higher odds for MCI. Our study results highlight the need to further explore a sedentary lifestyle as a potential risk factor for MCI or subsequent dementia. Longitudinal and intervention studies are warranted to confirm/refute the current findings.

Correlation between both neck/shoulder and low back pain and daily behavioral habits among middle school students in Shenzhen

Objective: To study the relations between neck/shoulder or low back pain and their daily behavioral habits among middle school students in Shenzhen. Methods: We randomly chose 3 952 students from 10 high schools in Shenzhen to complete the questionnaires. Data was gathered and analyzed, using the IBM SPSS 23.0. Results: Of the 3 952 participants, 20.3% had neck/shoulder pain and 15.2% had low back pain. Among students experienced neck/shoulder pain, female (25.3%), high school (24.5%) and boarding students (24.4%) experienced higher rates of neck/shoulder pain (P<0.05). Female students (17.9%) also had higher rate of low back pain (P<0.05). Results from logistic regression analysis showed that factors as: gender, type of school, taking naps on the desk, staying up late, self-perceived stress from learning, overloading homework, time spent on mobile phone and TV, spending long time on computer etc. were related to the neck/shoulder pain (P<0.05). Factors as: gender, naps on the desk, stay up late, self-perceived stress, overloading homework, time spent on mobile phone and TV etc., were related to low back pain (P<0.05). Conclusion: Neck/shoulder pain and low back pain were both commonly seen while high self-perceived stress, sedentary behaviors and poor sleeping habits were associated with both neck/shoulder and low back pain in high school students in Shenzhen.

Physical activity is associated with higher sleep efficiency in the general population: the CoLaus study.

To evaluate the association of objective physical activity (PA) and sedentary behavior (SB) with sleep duration and quality. Cross-sectional study including 2649 adults (53.5% women, 45-86 years) from the general population. Proportions of time spent in PA and SB were measured using 14 day accelerometry. Low PA and high SB statuses were defined as the lowest and highest tertile of each behavior. "Inactive," "Weekend warrior," and "Regularly active" weekly patterns were also defined. Sleep parameters were derived from the accelerometer and validated questionnaires. High PA, relative to low PA, was associated with higher sleep efficiency (76.6 vs. 73.8%, p < 0.01) and lower likelihood of evening chronotype [relative-risk ratio (RR) and 95% CI: 0.71 (0.52; 0.97)]. Similar associations were found for low SB relative to high SB. "Weekend warriors" relative to "Inactives," had higher sleep efficiency [76.4 vs. 73.9%, p < 0.01] and lower likelihood of evening chronotype [RR: 0.63 (0.43; 0.93)]. "Regularly actives," relative to "Inactives," had higher sleep efficiency [76.7 vs. 73.9%, p < 0.01] and tended to have less frequently an evening chronotype [RR: 0.75 (0.54; 1.04), p = 0.09]. No associations were found for PA and SB with sleep duration, daytime sleepiness, insomnia, and risk of sleep apnea (after adjustment for body mass index). High PA and low SB individuals, even if they do not sleep longer, have higher sleep efficiency and have less frequently an evening chronotype.

Abstract P337: Adolescent Sleep is Associated With Physical Activity and Sedentary Behavior Patterns

Introduction: A decrease in sleep quantity and quality is a growing concern in the adolescent population. Concurrently, an increase in physical inactivity has been shown to be related to numerous health consequences. There is a lack of literature on the relationship between sleep, physical activity (PA) and sedentary behavior (SB) in the adolescent population, particularly looking at night-to-night sleep irregularity. Hypothesis: We hypothesized that increased PA and decreased SB in both objective and subject modalities would be associated with greater habitual sleep duration (HSD) and lesser habitual sleep variability (HSV) in this adolescent population. Methods: Objective and subjective sleep and activity measurements were collected from 295 adolescents in the Penn State Child Cohort follow-up examination. Objectively-measured variables were obtained through 7 consecutive days of actigraphy collection. HSD was calculated as the average sleep duration across 7 nights, and HSV was calculated as the standard deviation (SD) of intra-individual sleep duration. Subjects with &lt;5 nights of sleep data were excluded from analysis. Self-administered questionnaires were used to collect subjectively-measured sleep, PA, and SB data. The relationships between sleep and behavior measures were assessed using linear regressions. All models were adjusted for age, sex, race and BMI percentile. Results: On average, our sample was 16.8 years, 52% male, and 79% white. We found that higher SB was associated with shorter HSD. With one SD change in objectively-measured SB (1014 minutes), HSD is reduced by 16 (3.6) minutes (p&lt;0.05). Although not statistically significant, subjective SB showed a similar pattern. Unexpectedly, both objective and subjective measures of increased PA were associated with shorter HSD. In terms of HSV, we found that higher subjective SB was associated with greater HSV; specifically, with one SD change in subjectively-measured SB (8.64 points), HSV increased by 0.011 (0.004) minutes. None of the PA measures were significantly associated with HSV. Conclusions: In conclusion, objectively-measured sleep patterns are related to physical activity/inactivity. Our results emphasize the need of future studies to systematically assess the inter-relationship of sleep and physical activity in this population.

The relationship between objectively assessed physical activity and bone health in older adults differs by sex and is mediated by lean mass.

To investigate associations of objectively assessed PA and bone health in community-dwelling older adults. This secondary analysis of a subset of the Tasmanian Older Adult Cohort study included participants with PA assessed utilising ActiGraph GT1M accelerometers over 7days (N = 209 participants, 53% female; mean ± SD age 64.5 ± 7.2years). Steps/day and PA intensity were estimated via established thresholds. Bone mineral content (BMC) was acquired at the total hip, lumbar spine, legs and whole body by DXA at baseline and approximately 2.2years later. Relationships between PA and BMC were assessed by multivariable linear regression analyses adjusted for age, smoking status, height and total lean mass. Men with above-median total hip BMC completed significantly less steps per day, but there was no significant difference in PA intensity compared with those with below-median BMC. There were no significant differences in PA in women stratified by median BMC. In women, steps/day were positively associated with leg BMC (B = 0.178; P = 0.017), and sedentary behaviour was negatively associated with leg BMC (- 0.165; 0.016) at baseline. After adjustment for confounders including lean mass and height, higher sedentary behaviour at baseline was associated with declines in femoral neck BMC (- 0.286; 0.011) but also with increases in pelvic BMC (0.246; 0.030) in men and increases in total hip BMC (0.215; 0.032) in women, over 2.2years. No other significant longitudinal associations were observed after adjustment for body composition. Associations of accelerometer-determined sedentary behaviour and PA with bone health in older adults differ by sex and anatomical site and are mediated by body composition.