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Background Neck and back pain are common musculoskeletal conditions in university students and associated with unhealthy lifestyle behaviors such as physical inactivity, unhealthy dietary habits, smoking and risky alcohol use. Cohort studies have investigated the effect of a healthy lifestyle including several lifestyle behaviors on the risk and prognosis for neck and back pain. Studies of an association between an unhealthy lifestyle and musculoskeletal conditions in university students are lacking. This study aimed to assess the association between an unhealthy lifestyle and incident activity-limiting neck/back problems (ALNBP) in university students. Methods Participants enrolled in the Sustainable UNiversity Life (SUN) study who did not report baseline ALNBP in the past three months were included ( n  = 3492). The baseline web-survey assessed unhealthy lifestyle behaviors (physical inactivity, high sitting time, meal skipping and risky use of alcohol, tobacco, and illicit drugs) with valid instruments and single-item questions. Participants with ≥ 3 unhealthy lifestyle behaviors were categorized as exposed to an unhealthy lifestyle. Responses to web-based follow-up surveys every third month until first reporting ALNBP or to the end of the one-year follow-up were used. The outcome ALNBP was defined as reporting limitations in daily activities due to a neck, low back and/or midback problem the past three months, assessed with a modified version of the Nordic Musculoskeletal Questionnaire. Crude and adjusted Cox regression models were built to assess the association between an unhealthy lifestyle and incident ALNBP, reported as a hazard rate ratio (HRR) with a 95% confidence interval (CI). Results Sixty percent of the participants were women, and the mean age was 24.5 ± 6.0 years. A total of 574 participants (16%) were exposed to an unhealthy lifestyle at baseline. Having an unhealthy lifestyle generated an adjusted HRR of 1.35 (95% CI 1.12, 1.63) for incident ALNBP, compared to not having an unhealthy lifestyle. Conclusions An unhealthy lifestyle, categorized as ≥ 3 unhealthy lifestyle behaviors, is associated with incident ALNBP in university students.

Background High volumes of sitting time are associated with an elevated risk of type 2 diabetes and cardiovascular disease, and with adverse cardiometabolic risk profiles. However, previous studies have predominately evaluated only total sitting or television (TV) viewing time, limiting inferences about the specific cardiometabolic health impacts of sitting accumulated in different contexts. We examined associations of sitting time in four contexts with cardiometabolic risk biomarkers in Australian adults. Methods Participants ( n  = 3429; mean ± SD age 58 ± 10 years) were adults without clinically diagnosed diabetes or cardiovascular disease from the 2011–2012 Australian Diabetes, Obesity and Lifestyle (AusDiab) study. Multiple linear regressions examined associations of self-reported context-specific sitting time (occupational, transportation, TV-viewing and leisure-time computer use) with a clustered cardiometabolic risk score (CMR) and with individual cardiometabolic risk biomarkers (waist circumference, BMI, resting blood pressure, triglycerides, HDL- and LDL-cholesterol, and fasting and 2-h post-load plasma glucose). Results Higher CMR was significantly associated with greater TV-viewing and computer sitting time ( b [95%CI] = 0.07 [0.04, 0.09] and 0.06 [0.03, 0.09]), and tended to be associated with higher occupational and transport sitting time (0.01 [− 0.01, 0.03] and 0.03 [− 0.00, 0.06]), after adjustment for potential confounders. Furthermore, keeping total sitting time constant, accruing sitting via TV-viewing and computer use was associated with significantly higher CMR (0.05 [0.02, 0.08] and 0.04 [0.01, 0.06]), accruing sitting in an occupational context was associated with significantly lower CMR (− 0.03 [− 0.05, − 0.01]), while no significant association was seen for transport sitting (0.00 [− 0.03, 0.04]). Results varied somewhat between the respective biomarkers; however, higher sitting time in each domain tended to be associated detrimentally with individual biomarkers except for fasting glucose (non-significant associations) and systolic blood pressure (a beneficial association was observed). Overall, associations were stronger for TV-viewing and computer use, and weaker for occupational sitting. Conclusions Higher context-specific sitting times tended to be detrimentally associated, albeit modestly, with CMR and several cardiometabolic risk biomarkers. There was some evidence suggesting that the context in which people sit is relevant above and beyond total sitting time. Methodological issues notwithstanding, these findings may assist in identifying priorities for sitting-reduction initiatives, in order to achieve optimal cardiometabolic health benefits.

Background This study describes patterns of adolescents’ objectively-measured sitting volume, sitting bouts, and breaks in sitting during different days and periods of the day, and explored differences by sex and weekdays versus weekend days. Methods Activ PAL™ data were collected in August 2014–December 2015 from adolescents attending secondary government schools in Melbourne Australia. Eight periods (early morning, mid-morning, morning break, late morning, lunch, early afternoon, late-afternoon and evening) were extracted for each day. School time, class time and out-of-school time were also extracted for weekdays. The percentage of time sitting, percentage of each hour in prolonged sitting (sitting bout ≥10 min), and number of sitting breaks/hour were calculated for each period. Differences by sex, and week and weekend days were determined using t-tests. Results Participants ( n  = 297, 15.4 ± 1.6 years) spent 68% of their day sitting; ~ 30% of each hour in prolonged sitting and 3.1 sitting breaks/hour. Sitting time was greater during class time (75%) and school (70%) compared to out-of-school time (65%). Sitting patterns differed between week and weekend days for all periods except the evening period. Girls had higher proportion of sitting during class than boys (76% vs 72% respectively) and school hours (72% vs 67%), more prolonged sitting during school hours (27% vs 23%), and more sitting breaks per hour during out-of-school time (2.6 vs 2.4), but fewer during class (2.5 vs 3.3) and school hours (2.7 vs 3.3). Sitting patterns did not differ by sex on weekend days. Conclusions Adolescents spent two-thirds of their waking hours sitting, with distinct patterns on weekdays and weekend days. Even though boys and girls were exposed to the same school day routine, girls spent more time sitting and had fewer sitting breaks. Class times, school breaks and the evening period were identified as key intervention periods. Further research is needed to understand the behavioural differences, and guide future intervention design.

While moderate-to-vigorous physical activity (MVPA) has been widely accepted as a major factor in promoting optimal health, emerging research specific to sedentary behavior suggests that MVPA alone may not be enough. This integrative literature review examines the evidence on sedentary behavior as an independent health risk for cardiometabolic health conditions, certain cancers, and all-cause mortality. In so doing, it reveals new insights into high-volume sitting and prolonged uninterrupted sitting and their relationship to adverse health conditions in order to increase awareness of sedentary behavior as an independent health risk factor, examine the potential effects of displacing sedentary time with light-intensity physical activity, and encourage nurses to advance the overall reduction of sedentary behavior.

To examine the association between participation frequency per week in physical education (PE) classes and physical activity (PA) and sitting time levels in adolescents according to the economic development level of the region of residence. A cross-sectional study with a sample representative of Brazil was carried out with 12,220 students aged 11-19 years. Participation frequency per week in PE classes, moderate-to-vigorous PA (MVPA), PA during PE classes, active commuting, PA outside of school hours, total accumulated PA, time sitting in front of the TV and total sitting time were assessed by using a self-administered questionnaire. Adolescents who reported having PE classes were more likely to meet MVPA recommendations (1-2 PE class/week-OR: 1.3, 95%CI: 1.1-1.5; ≥3 PE class/week-OR: 2.0, 95%CI: 1.7-2.5), spent more time in PA outside of school hours (1-2 PE class/week-OR: 1.6, 95%CI: 1.4-1.9; ≥3 PE class/week-OR: 2.0, 95%CI: 1.5-2.6), and accumulated more PA (1-2 PE class/week-OR: 1.9, 95%CI: 1.6-2.2; ≥3 PE class/week-OR: 6.0, 95%CI: 4.0-8.9) than students who reported not taking PE classes. Boys from regions with higher Human Development Index (HDI) who took ≥3 PE classes/week were more likely to have higher levels of active commuting (OR: 1.4, 95%CI: 1.1-1.9) and less likely of getting in front of TV (OR: 0.7, 95%CI: 0.5-0.9). Adolescents from regions with higher HDI were more likely to have more time spent in PA during PE classes (Male-OR: 2.7, 95%CI: 2.4-3.1; Female-OR = 3.2, 95%CI: 2.8-3.7). Having PE classes is associated with a higher level of PA in both sexes and in both regions and lower level of sitting time in boys from regions with higher HDI.

Current physical activity guidelines may be insufficient to address health consequences in a world increasing in sedentary behavior. Physical activity is a key lifestyle factor to promote healthy aging, but few studies examine activity in conjunction with sitting. We examine how activity intensity and sitting behavior influence health and the extent to which physical activity might counter sitting. We analyzed data from the Colorado Adoption/Twin Study of Lifespan behavioral development and cognitive aging (CATSLife) in adults aged 28-49 years (M = 33.16, SD = 4.93). We fit a linear mixed-effect model for body mass index (BMI) and total cholesterol/high-density lipoprotein ratio (TC/HDL). Leveraging the co-twin control approach, we explore the trade-off between sitting and physical activity. Across established adulthood, TC/HDL and BMI demonstrated increasing age trends with prolonged sitting and vigorous activity inversely associated. Moreover, after considering sitting time, we found an age-equivalent benefit of vigorous exercise where those performing 30 minutes daily had expected TC/HDL and BMI estimates that mirrored sedentary individuals 5 and 10 years younger, respectively. Co-twin control analysis suggests partial exposure effects for TC/HDL, indicating greater vigorous activity may counter sitting-health effects but with diminishing returns. Our findings support the counteracting influence of prolonged sitting and physical activity on indicators of cardiovascular and metabolic health. A compensating role of vigorous activity on sitting health links is indicated while reducing sitting time appears paramount. Public health initiatives should consider sitting and vigorous activity in tandem in guidelines to promote health maintenance and combat accelerated aging.

This study aimed to investigate the extent to which preschool children meet guidelines for screen time (<1 h/day) and sleep (10–13 h/24-h) and explored home factors that affect these behaviors. Parents of preschoolers across income settings in South Africa (urban high-income n = 27, urban low-income n = 96 and rural low-income n = 142) completed a questionnaire. Urban high-income children had higher rates of exceeding screen time guidelines (67.0%) than children from urban low-income (26.0%) and rural low-income (3.5%) settings. Most children (81.0%) met sleep guidelines on weekdays and on weekends (75.0%). More urban high-income children met the sleep guideline, in comparison to both low-income settings. Fewer urban high-income parents (50.0%) thought that screen time would not affect their preschooler’s health, compared to urban low-income (90.4%) and rural low-income (81.7%) parents. Weeknight bedtime was positively correlated with both weekday screen time (p = 0.001) and weekday TV time (p = 0.005), indicating that more time on screens correlated with later bedtimes. Meeting screen time and sleep guidelines differs across income settings, but it is evident that parents of preschoolers across all income settings would benefit from greater awareness about guidelines.

Background There is strong evidence showing that sedentary behaviour (SB) increase the risk to develop several chronic diseases and to premature death (Chau et al., 2015). A dose response relation is observed with a more marked risk when people spend more than 7 hours/day in sitting position (Ekelund et al., 2019). The study INCA 3 on the lifestyle habits of French population indicated that 40% of people between 18 and 79 years had a high risk for health conditions with more than 7 hours of daily SB (ANSES, 2017). The economic consequences of this risk have never been evaluated. The aim of this study was to estimate the economic burden of SB-related diseases in France. Methods From meta-analysis or large cohorts based on individual SB time, we identified relative risk (RR) to develop cardiovascular disease (CVD), colon cancer, breast cancer and all-causes premature death after co-variables adjustments including physical activity. From RR and prevalence of SB time in France, a population attributable fraction approach was used to estimate the yearly number of cases for each disease. Data from the national health insurance were used to calculate the annual average costs per case for each disease. Then, disease-specific and total health-care costs attributable to prolonged SB time were calculated. Indirect costs for private sector and households were calculated in a second stage. Results In France, 66 528 premature deaths/year appear related to a daily SB time ≥ 8,6 hours Each year prolonged SB cost 559 millions € for the national health insurance, including 359 millions € for CVD (≥ 10 hours of daily SB), 170 millions € for breast cancer (≥ 6 hours of daily SB), and 31 millions € for colon cancer (≥ 5 hours of TV/day). Conclusions These preliminary results showed that many deaths could be avoided by reducing prolonged SB prevalence in France. Moreover, direct health-care costs attributable to SB related diseases represent a high economic burden for the French health system. To address this issue, strong responses should be implemented to tackle SB, complementary to physical activity promotion.

Background From a health perspective it is suggested to promote a positive balance between time spent in light intensity physical activity (LIPA) and sedentary behaviour (SB) (i.e. spending more time in LIPA than time spent in SB). However, no studies have reported prevalence rates of the LIPA-SB balance yet. The aim of this study was to objectively investigate the time spent in SB, in LIPA and moderate-to-vigorous intensity physical activity (MVPA) in four Belgian age groups and to explore which proportion of the population had a favorable balance between LIPA and SB and combined this with recommended amount of MVPA. Methods Accelerometer data from 7 cross-sectional studies (N=2083) in four age groups (preschoolers, primary schoolchildren, secondary schoolchildren and adults) were aggregated. Differences in SB and PA between age groups and between men and women were determined by two-way MANCOVA. LIPA-SB balance was calculated and participants were categorized into one of four groups: (1) positive LIPA-SB balance (LIPA> SB) & sufficient MVPA (2) negative LIPA-SB balance & sufficient MVPA (3) positive LIPA-SB balance & insufficient MVPA (4) negative LIPA-SB balance & insufficient MVPA. Results For the total sample, 55% of the waking time was spent in SB, 39% in LIPA and 6% in MVPA. Differences in SB between age groups was dependent from gender (p<0.001). Further, a positive LIPA-SB balance was assessed in 18% of the total sample and only 10% combined this positive balance with recommended amount of MVPA. Secondary schoolgirls were most at risk, with only 1% of the sample combining a positive LIPA-SB balance with sufficient MVPA. Another risk group was the large proportion (43%) of adult men who combined sufficient MVPA with a negative LIPA-SB balance. Conclusion A high proportion of the Belgian population is at risk if taking into account both SB and PA levels. Secondary schoolgirls have the unhealthiest SB and PA profile and are therefore an important target group for interventions both increasing MVPA and decreasing SB. In men more attention should be given in promoting a positive LIPA-SB balance independently from their compliance with the MVPA guidelines.

Objective Traditional intensity-based physical activity measures and variable-centered statistics may not fully capture the complex associations between sitting time, physical activity, and obesity indices. This study investigates the associations between device-measured sitting, standing and different modes of physical activity (i.e., slow walking, brisk-walking, cycling and high-intensity activity) and measured body mass index (BMI) in children using person-based latent profile analyses and Partial Least Squared-structural equation modeling (PLS-SEM). Methods A total of 344 children (11.5 ± 0.81 years, boys n  = 139) wore a triaxial accelerometer (Fibion®) on their thigh for eight days, and their weight and height were measured at school. Latent profile analysis formed profiles including BMI, total sitting time, and physical activities, and their associations were further studied with PLS-SEM. Results The latent profile analysis indicates that high levels of physical activity always coincide with low sitting time. Both normal weight and overweight/obesity can coexist with low physical activity and prolonged sitting. The PLS-SEM results highlight a cascade-like sequence in the relationship between various types of physical activity, sitting time, and BMI. This sequence begins with light-intensity activities, such as standing, progresses to higher-intensity activities, and ultimately through reduced sitting time (sample mean= -0.01; effect size = 0.0001; p  = 0.02), mediates a decline in BMI (sample mean= -0.06; effect size = 0.0036; p  = 0.01). The most positive effects on sitting time and BMI occur when this pattern is adhered to consistently, suggesting that omitting steps could negatively impact the associations. Conclusion These findings suggest that persuading children to increase physical activity incrementally, starting from low-intensity activities such as standing and slow walking to activity types with higher intensities, possibly influence BMI by mediating reduced sitting time. This approach is particularly inclusive for overweight and obese children, taking into account the potential challenges they may encounter when performing activity types with high intensity. These cross-sectional associations need to be verified with longitudinal and experimental designs.