Is sedentary behaviour unhealthy and if so, does reducing it improve this?

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

OBJECTIVES

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

DESIGN

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

SETTING AND PARTICIPANTS

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

METHODS

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

RESULTS

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

CONCLUSIONS AND IMPLICATIONS

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

Lack of Association between the Reasons for and Time Spent Doing Physical Activity

Low levels of Physical Activity (PA) and sedentarism are associated with the onset of different pathologies and health problems. Regular physical activity has been linked with being beneficial to the health of the general population. Within this framework of analysis, the aim of the present study was to analyze the association between the time spent doing physical activity and the expressed motives for doing so, from which the innovative aspect of the paper emerges: the use of the time spent doing PA as a study variable of the phenomenon. The data analyzed come from the latest special Eurobarometer survey about the sport and physical activity done in Europe. Using an exploratory factorial analysis and a structural equations model, a six-dimensional factorial model was found that explains the reasons for doing PA, demonstrating that there is no relationship between the reasons for and time spent doing PA. The motivation is not a variable that explains the time spent doing PA, and another type of variable must be used to explain the phenomenon if PA is to be incentivized. Weaknesses of the study are that it works with individuals as a group and that the fundamental dependence on age is not introduced, which could determine interest in practicing PA. Similarly, the impact of the conditions of implementing PA, education, and family history should also be introduced into the model.

Accelerometer-measured versus self-reported physical activity levels in women before and up to 48 months after Roux-en-Y Gastric Bypass

Background

Roux-en-Y Gastric Bypass (RYGB) patients overestimate their time spent in moderate-to-vigorous physical activity (MVPA) to a greater extent post-surgery than pre-surgery. However, there is no data on discrepancy between self-reported and accelerometer-measured MVPA beyond nine months post-RYGB. The aim was to investigate how the duration of MVPA (main outcome) differs when comparing a self-administered questionnaire to accelerometer-data from pre-surgery and up to 48 months post-RYGB.

Methods

Twenty-six (38%) RYGB-treated women with complete data from the original cohort (N = 69) were included. Participants were recruited from five Swedish hospitals. Mean pre-surgery BMI was 38.9 (standard deviation (SD) = 3.4) kg/m² and mean age 39.9 (SD = 6.5) years. MVPA was subjectively measured by a self-administered questionnaire and objectively measured by the ActiGraph GT3X+ accelerometer at 3 months pre-RYGB and 9- and 48 months post-RYGB. Means and SD were calculated at 3 months pre- and 9- and 48 months post-RYGB. We calculated the P-values of the differences with Wilcoxon Signed-Rank test. For correlations between the self-administered questionnaire and the accelerometers, Spearman’s rank correlation was used.

Results

Participants significantly overestimated (i.e. self-reported more time spent in MVPA compared to accelerometry) their MVPA in a higher degree post- compared to pre-RYGB surgery. Compared to pre-surgery, self-reported MVPA increased with 46.9 and 36.5% from pre- to 9- and 48 months, respectively, whereas changes were a 6.1% increase and 3.5% decrease with accelerometers. Correlations between self-reported and accelerometer-measured MVPA-assessments were poor at all measurement points (r = 0.21–0.42) and only significant at 48 months post-RYGB (P = 0.032).

Conclusions

The discrepancy between self-reported and objectively assessed MVPA within the same individual is greater up to 48 months post-RYGB compared to before surgery. To help bariatric patients understand and hopefully increase their physical activity behaviors post-surgery, objective measures of physical activity should be used.

Gender Differences in Motivation and Barriers for The Practice of Physical Exercise in Adolescence

A total of 852 adolescents between 12 and 17 years of age were evaluated (M = 14.86, SD = 1.67), randomly selected among a population of secondary school and Baccalaureate students. We applied an “ad hoc” questionnaire on sociodemographic data and the Self-Report of Reasons for the Practice of Physical Exercise (AMPEF) and Self-Report of Barriers to the Practice of Physical Exercise (ABPEF) questionnaires. The results obtained show a prevalence of competition, social recognition, and challenge as motivational factors, and fatigue or laziness as barriers to physical exercise among adolescents. With respect to gender, boys show a greater presence of motivations towards doing physical exercise, while girls show more barriers. In conclusion, the motivational factors and barriers interact and support each other for a better predisposition towards physical exercise.

Effectiveness of interventions using self-monitoring to reduce sedentary behavior in adults: a systematic review and meta-analysis

Background

Sedentary behavior occurs largely subconsciously, and thus specific behavior change techniques are needed to increase conscious awareness of sedentary behavior. Chief amongst these behavior change techniques is self-monitoring of sedentary behavior. The aim of this systematic review and meta-analysis was to evaluate the short-term effectiveness of existing interventions using self-monitoring to reduce sedentary behavior in adults.

Methods

Four electronic databases (PubMed, Embase, Web of Science, and The Cochrane Library) and grey literature (Google Scholar and the International Clinical Trials Registry Platform) were searched to identify appropriate intervention studies. Only (cluster-)randomized controlled trials that 1) assessed the short-term effectiveness of an intervention aimed at the reduction of sedentary behavior, 2) used self-monitoring as a behavior change technique, and 3) were conducted in a sample of adults with an average age ≥ 18 years, were eligible for inclusion. Relevant data were extracted, and Hedge’s g was used as the measure of effect sizes. Random effects models were performed to conduct the meta-analysis.

Results

Nineteen intervention studies with a total of 2800 participants met the inclusion criteria. Results of the meta-analyses showed that interventions using self-monitoring significantly reduced total sedentary time (Hedges g = 0,32; 95% CI = 0,14 − 0,50; p = 0,001) and occupational sedentary time (Hedge’s g = 0,56; 95% CI = 0,07 − 0,90; p = 0,02) on the short term. Subgroup analyses showed that significant intervention effects were only found if objective self-monitoring tools were used (g = 0,40; 95% CI = 0,19 − 0,60; p < 0,001), and if the intervention only targeted sedentary behavior (g = 0,45; 95% CI = 0,15-0,75; p = 0,004). No significant intervention effects were found on the number of breaks in sedentary behavior.

Conclusions

Despite the small sample sizes, and the large heterogeneity, results of the current meta-analysis suggested that interventions using self-monitoring as a behavior change technique have the potential to reduce sedentary behavior in adults. If future – preferably large-scale studies – can prove that the reductions in sedentary behavior are attributable to self-monitoring and can confirm the sustainability of this behavior change, multi-level interventions including self-monitoring may impact public health by reducing sedentary behavior.

Electronic supplementary material

The online version of this article (10.1186/s12966-019-0824-3) contains supplementary material, which is available to authorized users.