Sedentary Behavior Questionnaire Research Articles

Validity and reliability of the daily activity behaviours questionnaire (DABQ) for the assessment of 24-h movement behaviours among adolescents

Measurement of the time spent in sleep, sedentary behaviour, and physical activity across the full 24-h day (i.e. 24-h movement behaviours) is essential for time-use research among adolescents. However, self-reported questionnaires for the assessment of 24-h movement behaviours are scarce. The aim of this study was to examine the validity and reliability of recently developed Daily Activity Behaviours Questionnaire (DABQ) for the assessment of time spent in sleep, sedentary behaviour, light physical activity, and moderate-to-vigorous physical activity among adolescents. A convenience sample of 59 high-school students (34 female, age range: 15–18 years) was recruited. Participants were asked to complete a web-based DABQ at two occasions (two-weeks apart) to examine test-retest reliability of the DABQ, and to wear activPAL accelerometer to examine convergent validity of the DABQ. The test-retest reliability correlation coefficients (ICC) for the durations of sleep, sedentary behaviour, light physical activity, and moderate-to-vigorous physical activity were 0.49, 0.64, 0.51, and 0.66, respectively. Convergent validity correlation coefficients (Spearman’s ρ) were 0.51, 0.38, 0.25, and 0.53, respectively. Our findings are comparable with the reliability and validity of most existing sleep, sedentary behaviour, or physical activity questionnaires among adolescents. However, DABQ is one of the first validated questionnaires that resonates with the emerging 24-h movement paradigm. The observed reliability and validity are indicating satisfactory measurement properties of the DABQ to be used in time-use research among adolescents.

Assessment of the validity of a sedentary behavior questionnaire among university students from low-income regions.

to reduce the prevalence of overweight and obesity, lifestyle interventions, particularly in nutritional education programs, should be prioritized among university students. Monitoring sedentary behavior is an important step toward preventing and controlling obesity. Therefore, we assessed the reliability and validity of an online questionnaire on sedentary behavior among university students from low-income regions. this cross-sectional methodological feasibility study evaluated the psychometric properties of the South American Youth/Child Cardiovascular and Environmental (SAYCARE) questionnaire. We administered this questionnaire in an online format to 195 and 117 university students (aged between 17 and 53 years) to assess its validity and reliability, respectively. The questionnaire measures the daily time spent watching TV, playing electronic games, using a computer, studying and passive commuting on weekdays and weekends. The questionnaire involved two stages (Q1 and Q2) separated by an interval of 2 weeks. Reliability was assessed using Spearman's correlation analysis. The structural validity of the construct was evaluated by exploratory factor analysis. all variables showed acceptable reliability (Spearman's rho > 0.30 and p < 0.05). Regarding construct structural validity, the exploratory factor analysis identified 4 factors (variance explained: 71.4 %) and did not exclude any items. the online SAYCARE questionnaire exhibited acceptable reliability and structural validity for assessing sedentary behavior among university students from low-income regions.

Sedentary Behaviour ‎and Sleeping Duration among Saudi Basketball Players ‎

Sedentary behaviour (SB) affects health and performance in highly trained athletes. A ‎number of research efforts have demonstrated that physical inactivity and SB are two ‎independent entities. However, SB in highly trained athletes in Saudi Arabia has not ‎been studied. Therefore, the aim of this study was to assess SB in Saudi basketball ‎players. Sixteen basketball players (mean ± Standard Deviation (SD), age, 22.6 ± 3.3 ‎years; body mass, 77.8 ± 10.5 kg; height, 182.9 ± 10.8 cm) participated in this study. A ‎self-report SB questionnaire was used to assess time spent on watching television, using ‎a computer/Internet, playing electronic games; total sedentary time; and sleep duration. ‎The cut-off point of ≥2 h/day was used to categories the outcome. Inadequate sleep ‎duration was defined as

The impact of COVID-19 on sedentary behavior among Chinese university students：a retrospectively matched cohort study

Purpose: This study was to estimate the impact of COVID-19 on sedentary behavior for Chinese university students during the pandemic period, as well as explore how sedentary behavior changed as a function of gender.&#x0D; Methods: We conducted an online questionnaire (the Sedentary Behavior Questionnaire) on 1487 (947 males &amp; 513 females; Age 19.72± 1.32yr., BMI = 21.12 ± 4.50) students from one university in China during the pandemic period and students retrospectively recalled pre-pandemic physical activity levels (March 29- April 15, 2020). Sedentary behavior was measured using the short version of the Sedentary Behavior Questionnaire (SBQ). Sedentary behavior of social isolation in a typical week during the COVID-19 pandemic period and before the COVID-19 pandemic were measured based on SBQ. The data were analyzed using a paired-samples t-test. Chi-square tests were to compare categorical variables.&#x0D; Results: Before the COVID-19, on weekdays, survey participants averaged engaged in 11.41 (SD =3.93) hours of SB, 10.97 (SD = 3.85) hours of SB in males, 12.25 (SD =3.94) hours of SB in females; on weekends, survey participants averaged engaged in 13.18 (SD =4.06) hours of SB, 12.74 (SD = 3.96) hours of SB in males, 14.04 (SD =4.11) hours of SB in females. During the COVID-19, on weekdays, survey participants averaged engaged in 13.34 (SD =3.78) hours of SB, 12.90 (SD = 3.67) hours of SB in males, 14.19 (SD =3.83) hours of SB in females; on weekends, survey participants averaged engaged in 14.48 (SD =3.93) hours of SB, 14.10 (SD = 3.81) hours of SB in males, 15.22 (SD =4.04) hours of SB in females. Overall, on weekdays, COVID-19 on average appeared to increase SB by 1.93 (16.91%↑, 95% CI = 1.74, 2.12) hours, an increase in daily total SB by 1.92 (17.50%↑, 95% CI = 1.92, 2.15) hours for males, and an increase 1.94 (15.84%↑, 95% CI = 1.62, 2.27) hours in females. On weekends, COVID-19 on average appeared to increase SB by 1.30 (9.86%↑, 95% CI = 1.12, 1.48) hours, an increase in daily total SB by 1.36 (10.68%↑, 95% CI = 1.13, 1.58) hours for males, and an increase 1.18 (8.40%↑, 95% CI = 0.87, 1.50) hours in females.&#x0D; Conclusions: The COVID-19 led to an increase in sedentary behavior of Chinese university students. The total sedentary time of female students per week was higher than that of male students. Public policy action might be urgently needed to decrease the sedentary behavior of Chinese university students.

Long sedentary time is associated with worsened cardiometabolic risk factors among university employees in Eastern Ethiopia

Sedentary time is associated with increased risks of detrimental health outcomes. Prolonged sedentary time associates with cardiometabolic risk factors and increased mortality regardless of physical activity. Therefore, the purpose of this study was to examine the associations of sedentary time and cardiometabolic risk factors among university employees in Eastern Ethiopia. A cross-sectional study was conducted among 1200 participants. Data were collected using the World Health Organization STEPS survey instrument, and sedentary behavior questionnaire in hour per day. Sedentary time is the time spent for any duration (minutes per day or hours per day) by considering a local context. Study participants were asked how many minutes or hours they spent in sedentary time at work, their leisure time and in transportation. Finally, the total sedentary time was calculated by the sum of the individual spent in sedentary time at work, leisure, and transportation. Cardiometabolic risk factors were assessed with blood samples analysis and anthropometric measurements. The associations between sedentary time and cardiometabolic risk factors were examined using linear regression models. An adjusted coefficient (β) with the 95% confidence interval (CI) was used to report the results. p value < 0.05 was considered for statistical significance. The mean age of the study participants were (35 ± 9.4 years). Almost half of the study participants, 566 (48.6) were women and 598 (51.4%) were men. As the total sedentary time was increased by one unit, the body mass index increased by β = 0.61; (95% CI 0.49–0.71),waist circumference increased by β = 1.48; (95% CI 1.14–1.82), diastolic blood pressure increased by β = 0.87; (95% CI 0.56–1.18), systolic blood pressure increased by β = 0.95; (95% CI 0.45–1.48), triglycerides increased by β = 7.07; (95% CI 4.01–10.14), total cholesterol increased by β = 3.52; (95% CI 2.02–5.02), fasting plasma glucose increased by β = 4.15; (95% CI 5.31–4.98) and low-density lipoprotein cholesterol increased by β = 2.14; (95% CI 0.96–3.33) with the effects of other variables maintain constant. These findings depict the need for strategies that policymakers should promote physical activity and encouraging the breaking up of prolonged sedentary time to reduce cardiometabolic risk factors among university employees in Ethiopia.

AGREEMENT BETWEEN IPAQ AND SBQ ESTIMATES OF SEDENTARY BEHAVIOR IN UNIVERSITY STUDENTS

PURPOSE: Numerous questionnaires are available for measuring sedentary behaviors (SED) in different populations. The Sedentary Behavior Questionnaire (SBQ) and International Physical Activity Questionnaire (IPAQ) are two commonly used instruments; however, it is unclear whether the nine-item SBQ and the two-item IPAQ provide similar estimates in university students. Hence, the purpose of this study was to compare the absolute and relative agreement between SBQ and IPAQ estimates in university students. METHODS: College students (n = 555, 20.4 ± 1.6 yrs, 80% female) completed an online health behavior survey from January to March 2020 that included both the SBQ and IPAQ. Responses for all nine items from the SBQ were multiplied by the number of days per week (5 for weekdays, 2 for weekends), summed, and then divided by 7 to obtain the average number of minutes spent in SED each day. Responses from the IPAQ were multiplied by the number of days per week (5 for weekdays, 2 for weekends), summed, and then divided by 7 to obtain the average number of minutes spent in SED each day. A paired t-test was used to compare the absolute agreement between SED estimates. Spearman correlations were used to examine the relative agreement between total SED estimates and between the individual items of the SBQ and the total SED estimate from the IPAQ. RESULTS: The paired t-test revealed a significant difference in total SED estimates between the SBQ (483.1 ± 196.9 min/day) and IPAQ (390.3 ± 1308.1 min/day) (p < 0.001). The correlation between SBQ and IPAQ estimates of total SED time was weak (rs = 0.24, p < 0.001). Correlations between the SBQ component items and total SED from the IPAQ were also weak, but highest for paper/computer work rs = 0.17 (p < .01), gaming rs = 0.11 (p = .01), and reading rs =0.10 (p = .02) CONCLUSIONS: These data indicate that there is poor absolute and relative agreement between SBQ and IPAQ estimates of SED in college students. However, it is unclear which of these two instruments provides the more accurate estimate of SED in this population. Future studies should compare SED estimates from a diverse array of questionnaires to estimates from objective criterion measures across a range of university settings.

ALCOHOL CONSUMPTION AND PHYSICAL ACTIVITY, SEDENTARY, AND SLEEP BEHAVIORS IN UNIVERSITY STUDENTS

PURPOSE: Excessive alcohol intake has been associated with negative health outcomes, but it is unclear if alcohol consumption is related to the different behaviors (moderate to vigorous physical activity (MVPA), sedentary behavior (SED), and total sleep duration) that make up a 24-hour day in university students. The purpose of the study was to examine the associations between alcohol consumption and self-reported MVPA, SED, and sleep in university students. METHODS: University students (n=660, 20.3±1.6 yr, 80% female) completed an online survey to assess demographics, total alcohol consumption per week, Greek Life membership, sleep duration (min/day) via Pittsburgh Sleep Quality Index, SED (min/day) via Sedentary Behavior Questionnaire, and MVPA (min/day) via Leisure Time Physical Activity Questionnaire. Multiple linear regression was used to examine associations between different alcohol consumption categories (Moderate = Females 1-7 drinks per week, Males 1-14 drinks per week; Heavy = Females > 7 drinks per week, Males > 14 drinks per week) with MVPA, SED, and sleep behaviors adjusting for possible confounding factors (sex, race/ethnicity, BMI, and Greek Life membership). RESULTS: Moderate (β=6.9, p=0.10) and heavy alcohol drinkers (β=6.4, p=0.21) self-reported higher MVPA compared to university students that do not consume alcohol (trend p =0.02). Moderate (β=20.5, p=0.29) and heavy (β=41.5, p=0.27) alcohol drinkers self-reported higher SED compared non-drinkers, although these differences were not statistically significant (trend p=0.17). Moderate (β=0.5, p=0.94) and heavy (β=-5.8 p=0.61) alcohol drinkers had sleep times that were similar to those who reported not consuming alcohol (trend p=0.78). CONCLUSIONS: In this university student sample, alcohol drinkers reported participating in 6-7 additional minutes of MVPA per day than students that reportedly do not drink alcohol. However, only moderate drinkers had statistically significant higher values. While this analysis controlled for several potential confounders, other unmeasured differences between drinkers and non-drinkers may account for the higher MVPA observed among drinkers. Alternatively, alcohol drinking among university students may be a marker for greater engagement in social activities that incorporate MVPA.

Healthy College Student 24-hour Activity Profiles Are Related To Feelings Of Energy And Less Fatigue

PURPOSE: College students report feelings of low mental energy (ME) and physical energy (PE) and increased mental fatigue (MF) and physical fatigue (PF). Students also report poor sleep, high levels of sedentary behavior (SED), and insufficient physical activity (PA) to meet recommendations. Sleep, SED, and PA independently impact feelings of ME, MF, PE, PF, but may be more problematic when evaluated together as components of the 24-hour activity profile (24-HAP). The purpose of this study was to determine the potential cumulative effects of 3 poor 24-HAP behaviors (24-HAPB) on ME, MF, PE, PF in a college student cohort. METHODS: Students (n=669; 80% female; 20.4±1.6yrs) were grouped based on 3 poor self-reported 24-HAPB defined via: a) Pittsburgh Sleep Quality Index (either Global Score ≥6 or sleep duration <6 or >9hrs), b) Sedentary Behavior Questionnaire (≥600 min SED), c) Cancer Leisure PA Questionnaire (<150min/wk moderate- to vigorous-PA or <2days/wk muscle strengthening). ME, MF, PE, PF were assessed via Mental and Physical State and Trait Energy and Fatigue Scales (scale 0 - 300; more intense feelings = higher score). MANCOVA assessed differences in ME, MF, PE, PF between 4 groups with 0 - 3 poor behaviors (PB) adjusted for sex, depression, and body mass index. Cohen’s d quantified significant effect sizes. RESULTS: PB were common (68.7% sleep, 56.4% PA, and 34.8% SED) and students had from 0 to 3 PB: 0-PB, n = 80, 1-PB, n = 216, 2-PB, n = 268, or 3-PB, n = 105. ME for 0-PB was higher (all p<.05) than 1-PB (d=4.1), 2-PB (d=4.1), and 3-PB (d=3.6). MF for 0-PB was lower (both p<.05) than 1-PB (d=3.2) and 2-PB (d=3.0) but did not differ from 3-PB (d=2.1; p>.05). PE for 0-PB was higher (all p<.05) than 1-PB (d=2.8), 2-PB (d=4.6), and 3-PB (d=5.1); 1-PB also had higher PE than 3-PB (d=3.3; p<.05). PF was higher (all p<.05) for 3-PB than 0-PB (d=4.5), 1-PB (d=5.4), and 2-PB (d=3.4). CONCLUSIONS: ME and PE are higher and MF and PF are lower for college students reporting fewer poor 24-HAPB. Notably, having just 1 poor 24-HAPB adversely impacted ME and MF as well as PE and PF. College health promotion efforts should educate students on the interactions of 24-HAPB and feelings of energy and fatigue with specific reference to the potential adverse compounding impacts of sleep, SED, and PA on these increasingly important quality of life outcomes.

Validity and reliability of the Persian version of the sedentary behavior questionnaire among office employees

ABSTRACT Objectives. This study aimed to evaluate the validity and reliability of the Persian version of the sedentary behavior questionnaire (SBQ) among university office employees in Kermanshah province in the west of Iran. Methods. A validation study was performed among 701 university office employees in Kermanshah province. The content validation process was conducted using interviews with content and lay experts. The intraclass correlation coefficient (ICC) was calculated as test–retest reliability. In addition, exploratory and confirmatory factor analyses were used to assess the validity of the questionnaire structure. Results. The scale content validity indices using two general agreement approaches and the mean approach were 88.88 and 97.77%, respectively. The ICC was estimated at 1.00 (95% confidence interval [0.99, 1.00]). The exploratory factor analyses suggested nine-factor solutions, and in the independent sample the confirmatory factor analysis fit indices showed that the model had acceptable fit to the data. Conclusion. The Persian version of the SBQ had acceptable reliability and validity for assessing sedentary behavior (SB) among office employees. This questionnaire is a simple and self-report tool for measuring SB in daily life and would be useful in the design and evaluation of preventive programs among administrative staff and for high-risk population surveillance.

Redevelopment and Examination of the Psychometric Properties of the Chinese Version of the Last 7-Day Sedentary Behaviour Questionnaire (SIT-Q-7d-Chi) in Hong Kong Older Adults.

(1) Background: This study examined the psychometric properties of the Chinese version of the Last 7-Day Sedentary Behaviour Questionnaire (SIT-Q-7d-Chi) in Hong Kong older adults; (2) Methods: Study 1 assessed the questionnaire’s test–retest reliability, and Study 2 examined its validity. Place the question addressed in a broad context and highlight the purpose of the study; (3) Results: In Study 1, 84 older adults (aged 60–90) completed the SIT-Q-7d-Chi twice over a 2-week interval, and in Study 2, 38 older adults (i) completed the SIT-Q-7d-Chi and the Sedentary Behaviour Questionnaire for Older Adults (SBQOA) and (ii) wore a waist-mounted accelerometer for 7 consecutive days. In Study 1, the SIT-Q-7d-Chi’s test–retest reliability (ICC = 0.91–0.99) was satisfactory, and adequate internal consistency was found for most domains of the SIT-Q-7d-Chi (Cronbach’s alpha value being 0.7 or above). Study 2′s results showed that the SIT-Q-7d-Chi results were significantly correlated with the SBQOA results, but not with the accelerometer results; (4) Conclusions: This study revealed the prevalence of sedentary behavior among Hong Kong’s senior citizens, which can be used as a reference to plan or evaluate a future sedentary behavior intervention for older persons, including identifying the content and intensity of activities.

Validation of a Modified Version of the German Sedentary Behavior Questionnaire.

Background: Physical inactivity and excessive sedentary behavior (SB) are growing public health issues that require surveillance, guidelines, and targeted interventions. In addition to a variety of sophisticated technical methods, questionnaires are still an attractive method for quick, easy, comprehensive, and cost-effective estimation of SB. The aim of this study was to validate a modified version of the widely used Sedentary Behavior Questionnaire (SBQ) compared to waist-worn accelerometers as an objective measurement. Contemporary explanations covering the use of smart devices have been added to the original instrument, and sitting while handwriting was explicated in more detail. Methods: Cross-sectional data from an adult sample (n = 64, 20–85 y, 25 m, 39 f) were used in this first validation study. Based on prior investigations of the SBQ, analyses were conducted in a gender-specific manner. Criterion validity was assessed using Spearman’s Rho coefficients. The Bland–Altman method was used to test the agreement between self-reported and accelerometer-measured SB time. Results: Using the modified SBQ (mSBQ), a significant gender difference in weekly sedentary time was found. Women estimated their sedentary time to be almost 50% higher than men (median 74.5 h vs. 51.0 h). No correlation was found between the questionnaire and accelerometer data for both subgroups (rho ≤ 0.281, p ≥ 0.174). Individual differences in daily SB estimation between both methods (in relation to accelerometry) were +3.82 h ± 4.36 h for women and +0.48 h ± 2.58 h for men (p < 0.001). Conclusion: The modifications to the SBQ did not improve the correlation between self-assessment of SB and objective determination. The reasons for the presented gender-specific overestimation of the participants’ own sedentary time, which contradicts the findings of other studies, remain unclear and need to be investigated further.

Hubungan Gaya Hidup Sedentary Terhadap Kejadian Tinggi Prediabetes di Wilayah Kerja Puskesmas Johar Baru

Introduction: The incidence of prediabetes risk increases every year. This can occur as a result of lack on physical activity which is exacerbated by a pandemic condition that strengths people to stay at home more. Objectives: This study was conducted to determine the relationship between a sedentary lifestyle towards the incidence of prediabetes in the working area of the Johar Baru Health Center. Methods: The study design used is descriptive correlation with a cross sectional approach. The sample in this study was the community in the working area of the Johar Baru Health Center and there were 64 respondents chosen using purposive sampling technique. The Finnish Diabetes Risk Score (FINDRISC) instrument was utilized to assess the prediabetes score, while The Sedentary Behavior questionnaire used to measure sedentary lifestyle. Results: Univariate results showed that the majority of respondents had frequent sedentary behavior (93.8%) and a high risk of prediabetes (54.7%) followed by a very high risk of prediabetes (23.4%). Bivariate analysis using the Kendall Tau-C test revealed a significant relationship between a sedentary lifestyle and the incidence of prediabetes with p-value of 0.027 (µ = 0.05). Conclusions: High risk prediabetes was correlate significantly with sedentary lifestyle; therefore, it is suggested to perform physical activity for 30 minutes every day and lower sedentary lifestyle by limiting the use of gadgets and laptops in daily life.

Relationship Between Physical Activity and Sedentarily Activity with Nutritional Status for Adults 20-39 years old in Malang

Nutritional problems are a public health problem that has been addressed as a global problem due to changes in lifestyle, such as decreased physical activity and the occurrence of a sedentary lifestyle. This study aimed to determine the relationship between physical activity and a sedentary lifestyle with adult nutritional status based on Body Mass Index. Analytical Observational Research with a cross-sectional approach on 380 adults aged 20-39 years in Malang City was conducted using the Global Physical Activity questionnaire and the Sedentary Behaviour Questionnaire. Bodyweight and height were measured as primary data. The levels of physical activity were low, medium, and high. Meanwhile, a sedentary lifestyle is divided into low, medium, and high categories. The nutritional status is measured with Body Mass Index (BMI). Data were analyzed by Kruskal-Wallis and Somers'D with a value of &lt; 0.05 considered significant. The results showed the relationship between physical activity and nutritional status with a probability value of Sig = 0.002. The relationship between a sedentary lifestyle and nutritional status showed a probability value of Sig = 0.000. It indicates a significant relationship between physical activity and a sedentary lifestyle with adult nutritional status in Malang City. The correlation test results using Somer's D showed that the strength of the relationship between variables was very weak. There was a significant relationship between physical activity and a sedentary lifestyle with the nutritional status of adults in Malang City.

Associations among sleep quality, sedentary behavior, physical activity, and feelings of energy and fatigue differ for male and female college students

ABSTRACT Objective Feelings of fatigue and low energy compromise quality of life in college students and are influenced by sleep quality, sedentary time, and physical activity (PA) in an interactive manner and differentially by sex, warranting further investigation. Method College students (n = 693; 78% female) were assessed for sleep quality (Pittsburgh Sleep Quality Index), sedentary time (Sedentary Behavior Questionnaire), and PA (Godin Leisure-Time Exercise Questionnaire). State mental and physical energy and fatigue were assessed via the Mental and Physical State and Trait Energy and Fatigue Scales. Structural equation modeling was used to explore associations among variables of interest in the complete sample and by sex after controlling for anxiety, depression, and perceived stress. Results In the complete sample, PA predicted all outcomes in expected directions (β range = −.103 – .119; all p < .05); however, sleep quality and sedentary time were not predictors (p > .05). For males, only sleep quality predicted mental and physical energy and physical fatigue (all p < .05) whereas among females, only physical activity predicted mental fatigue and physical energy and fatigue (all p < .05). Sedentary time did not significantly predict any outcomes in males or females. Conclusions PA is related to mental and physical energy and fatigue among college students. Sex differences were evident with sleep quality for males and PA for females, being more closely related to energy and fatigue outcomes. Research targeting these health behaviors and interactive effects on feelings of energy and fatigue in this cohort are warranted.

Exploration of sedentary behaviour among GPs: a cross-sectional study.

BackgroundSedentary behaviour, which may have increased among GPs due to increasing use of telemedicine, is associated with many illnesses and increased all-cause mortality.AimTo explore levels of sedentary behaviour among GPs and General Practice Specialty Trainees (GPSTs).Design & settingSequential, cross-sectional design (initial online sedentary behaviour questionnaire and subsequent thigh-worn accelerometer substudy) of GPs and GPSTs in Northern Ireland.MethodSelf-reported questionnaire data were aggregated and compared with device-measured accelerometry data.ResultsData from 353 participants (17.7% of GPs and GPSTs in Northern Ireland) revealed doctors in general practice self-reported higher workday sedentary time (10.33 hours, SD 2.97) than those in secondary care (7.9 hours, SD 3.43 [mean difference {MD} 2.43 hours; P<0.001]). An active workstation (for example, sit-stand desk), was used by 5.6% of participants in general practice, while 86.0% of those without one would consider using one in future. Active workstation users self-reported lower workday sedentary time (7.88 hours, SD 3.2) than non-users (10.47 hours, SD 2.88 [MD –2.58 hours, P = 0.001]). Accelerometer substudy participants underestimated their workday sedentary time by 0.17 hours (95% confidence interval [CI] = –1.86 to 2.20; P = 0.865), and non-workday sedentary time by 2.67 hours (95% CI = 0.99 to 4.35; P = 0.003). Most GPs (80.7%) reported increased workday sitting time compared to prior to the COVID-19 pandemic, while 87.0% would prefer less workday sitting time.ConclusionGPs have high levels of workday sedentary time, which may be detrimental to their health. It is imperative to develop methods to address sedentary behaviour among GPs on workdays, both for their own health and the health of their patients.

Sedentary Behavior, Quality of Life, and Occupational Performance among Community-Dwelling Older Adults

Aims Prolonged sedentary behaviors increase the risk for adverse health outcomes among older adults. This study explored the effects of participation in meaningful occupations on sedentary behavior, quality of life, and occupational performance among community-dwelling older adults. Methods This exploratory study utilized a one-group, pretest-posttest design using the Sedentary Behavior Questionnaire, RAND-SF 36, and the Canadian Occupational Performance Measure. Results Six community-dwelling older adults between the ages of 76 and 87 (M = 81.83, SD = 3.87) participated in this exploratory study. No significant difference was noted in sedentary behavior. Significant changes in physical function and role limitations were found. Change in occupational satisfaction and performance was significant among some participants. Engagement in meaningful occupations did not result in improved quality of life. Conclusions Occupation-based interventions may impact the perceived quality of life and occupational performance in community-dwelling older adults; however, further research is needed.

Physical activity, sedentary behaviour and symptoms of anxiety in post-secondary students: A cross-sectional study of two faculties

Post-secondary students frequently experience symptoms of anxiety during the academic year. It is hypothesized that low levels of physical activity, and high levels of sedentary behaviour may be associated with symptoms of anxiety. We conducted a cross-sectional study to determine the prevalence of physical activity and sedentary behaviour and moderate to severe symptoms of anxiety; and the association between physical activity, sedentary behaviour, and symptoms of anxiety in students enrolled in two Faculties at Ontario Tech University in the fall of 2017. We recruited participants in-class and through two waves of emails sent from instructors and Deans of each Faculty. We used the Physical Activity and Sedentary Behaviour Questionnaire to measure physical activity and sedentary behaviour and the Depression, Anxiety, and Stress Scales 21-item to measure symptoms of anxiety. We computed the associations by multivariable logistic regression to control for covariates. The association between physical activity, sedentary behaviour and moderate to extremely severe symptoms of anxiety was quantified using multivariable logistic regression. Prevalence of meeting physical activity guidelines ranged from 30 to 50% depending on Faculty. High levels of sedentary behaviour were found in 50–70% of students depending on Faculty. We found that aerobic physical activity was associated with symptoms of anxiety in the Faculty of Education but not in the Faculty of Health Sciences. We found that muscular strengthening was associated with symptoms of anxiety in the Faculty of Health Sciences but not in the Faculty of Education. We found no associations between sedentary behaviour and symptoms of anxiety in either Faculty. • The Associations Between Physical Activity, Sedentary Behaviour and Symptoms of Anxiety in Post-Secondary Students – Highlights. • Anxiety is endemic among post-secondary students, parallel to a rise in sedentary behaviour and decline in physical activity. • Physical activity was found to be associated with symptoms of anxiety in post-secondary students, although this association varied by student Faculty. • No associations were found between sedentary behaviour and symptoms of anxiety among post-secondary students.

Sedentary Behavior and Associated Factors Among Working Adults in Eastern Ethiopia.

Background: Sedentary behavior is a major risk factor for non-communicable diseases. Due to changes in lifestyle, sedentary behavior is increasing in sub-Saharan Africa. However, information on the extent of sedentarism among various segments of the population is scant in low-income countries. The objective of this study was to assess the extent of high sedentary behavior and associated factors among working adults in eastern Ethiopia.Methods: A crosssectional study was conducted among 1,164 working adults at Haramaya University from December 2018 to February 2019. Data were collected through face-to-face interviews using the WHO STEPS and sedentary behavior questionnaire. All reported sedentary activities were added to calculate the total number of hours spent on sedentary behavior, which was then dichotomized into two categories. Those who had ≥8 sedentary hours per day were categorized as having high sedentary behavior. The prevalence ratio (PR) with 95% confidence intervals (CIs) was calculated. Factors associated with outcome variables were identified using Poisson regression with a robust variance statistical model.Results: The prevalence of high sedentary behavior was 20.3% (95% CI, 18.0–22.7%) among the study participants. The prevalence of high sedentary behavior was associated with age 45–54 years adjusted PR (APR: 2.00; 95% CI = 1.01–3.97) and 55–64 years (APR: 2.16; 95% CI = 1.03–4.57), being a non-manual worker (APR: 2.11; 95% CI = 1.46–3.05), frequent khat chewers (APR: 1.57; 95% CI = 1.22–2.01), with body mass index of ≥25 kg/m2 (APR: 1.93; 95% CI = 1.53–2.44), and regular alcohol drinker (APR: 1.39; 95% CI = 1.11–1.76).Conclusion: One-fifth of working adults had high sedentary behavior. Factors associated with high sedentary behaviors were older age, being a non-manual worker, substance-use behaviors, and having a high body mass index.

Screen time-based sedentary behaviour, eating regulation and weight status of university students during the COVID-19 lockdown

PurposeThis study aims to investigate the relationships among screen time-based sedentary behaviour, eating self-regulatory skills and weight status among private university students during the Movement Control Order (MCO).Design/methodology/approachA total of 186 private university students was enrolled in this cross-sectional study using a combination of snowball and purposive sampling approaches. Anthropometric measurements, including body height, body weight before and during the MCO enforcement were self-reported by the respondents. Screen-time based sedentary behaviour sedentary behaviour was evaluated using HELENA sedentary behaviour questionnaire, whereas the Self-Regulation of Eating Behaviour Questionnaire (SREBQ) was used to determine the eating self-regulatory skills in MCO.FindingsRespondents spent most of the time on the internet for non-study purposes (148 ± 77.7 min). It is also noted that 64.5% of the respondents had medium eating self-regulatory skill during the MCO, with an average score of 3.0 ± 0.5. Findings from path analysis confirmed that poor eating self-regulation significantly contributed to the weight gain during home confinement (ß = −0.24, p = 0.01). In conclusion, eating self-regulation, but not total screen time, emerged as the determinant for weight gain during the COVID-19 lockdown.Originality/valueAccording to the authors’ knowledge, this study was among the few that investigated sedentary behaviour, eating self-regulatory skills and weight status of university students during the COVID-19 pandemic.

Youth Leisure-Time Sedentary Behavior Questionnaire (YLSBQ): Reliability and Validity in Colombian University Students.

Sedentary behavior (SB) is influenced by variations in social, cultural and economic contexts. This study assesses the test–retest reliability and validity of the Youth Leisure-time Sedentary Behavior Questionnaire (YLSBQ), a self-report tool that examines total and domain-specific SB in a cohort of young adults from Colombia. A cross-sectional validation study was conducted among 447 Colombian college students (52.8% men; mean (± standard deviation) age of 19.55 ± 2.54 years). To assess the reliability of the YLSBQ, Kappa statistics (k) were used. A confirmatory factor analysis (CFA) was conducted to determine validity. The Cronbach alpha for the 12 behaviors of the YLSBQ showed a good-to-excellent internal consistency (0.867, ranging from 0.715–0.935). Intraclass correlation coefficient (ICC) indicated that 10 items (83.0%) and two items (17.0%) showed excellent and good reliability, respectively. Furthermore, ICC between the total sedentary time was 0.926 (95% confidence interval [CI] = 0.912 − 0.939), which was interpreted as excellent. The goodness-of-fit tests provided evidence that overall, a four-factor solution was an adequate fit with the time scores. In conclusion, the YLSBQ could be considered a reliable, valid and usable tool for the assessment of SB in young adults in a Latin American country. We found that the psychometric properties of the questionnaire were similar to those of the original Spanish validation study.