| 1. |
- Gupta, Nidhi, et al.
(författare)
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What is the effect on obesity indicators from replacing prolonged sedentary time with brief sedentary bouts, standing and different types of physical activity during working days? : A cross-sectional accelerometer-based study among blue-collar workers
- 2016
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Ingår i: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 11:5
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Tidskriftsartikel (refereegranskat)abstract
- IntroductionThe aim of the study was to investigate if (a) substituting total sedentary time or long sedentary bouts with standing or various types of physical activity and (b) substituting long sedentary bouts with brief sedentary bouts; is associated with obesity indicators using a cross sectional isotemporal substitution approach among blue-collar workers.MethodsA total of 692 workers from transportation, manufacturing and cleaning sectors wore an Actigraph GT3X+ accelerometer on the thigh for 1–4 working days. The sedentary (sit and lie), standing, walking, and moderate to vigorous physical activity (MVPA) time on working days was computed using validated Acti4 software. The total sedentary time and uninterrupted sedentary time spent in brief (≤5 mins), moderate (>5 and ≤30 mins), and long (>30mins) bouts, were determined for the whole day and during work and non-work time separately. The obesity indicators, BMI (kg/m2), waist circumference (cm) and fat percentage were objectively measured. Isotemporal substitution modelling was utilized to determine the linear association with obesity indicators of replacing 30 min of total sedentary time or long sedentary bouts with standing, walking or MVPA and separately replacing 30 min of long sedentary bouts with brief sedentary bouts.ResultsWorkers [mean (standard deviation, SD); age = 45.1 (9.9) years, BMI = 27.5 (4.9) kg/m2, %BF = 29.6 (9.5), waist circumference = 94.4 (13.0) cm] sat for 2.4 hours (~32% of the measured time, SD = 1.8 hours) across the day during work period and 5.5 hours (~62% of the measured time, SD = 1.5 hours) during non-work period. Most of the sedentary time was accrued in moderate bouts [work = 1.40 (SD = 1.09) hours] during work and in long bouts during non-work [2.7 (SD = 1.4) hours], while least in long sedentary bouts during work [work = 0.5 (SD = 0.9)] and in brief sedentary bouts [0.5 hours (SD = 0.3)] during non-work. Significant associations with all obesity indicators were found when 30 min of total sedentary time or long sedentary bouts were replaced with standing time (~1–2% lower) or MVPA (~4–9% lower) during whole day, work, and non-work periods. The exception was that a statistically significant association was not observed with any obesity indicator when replacing total sedentary time or long sedentary bouts with standing time during the work period. Significant beneficial associations were found when replacing the long sedentary bouts with brief sedentary bouts (~3–5% lower) during all domains.ConclusionReplacing total sedentary time and long sedentary bouts, respectively, not only with MVPA but also standing time appears to be beneficially associated with obesity indicators among blue-collar workers. Additionally, replacing long sedentary bouts with brief sedentary bouts was also beneficially associated with obesity indicators. Studies using prospective design are needed to confirm the findings.
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| 2. |
- Korshøj, Mette, et al.
(författare)
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Is objectively measured sitting at work associated with low-back pain? : a cross sectional study in the DPhacto cohort
- 2018
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Ingår i: Scandinavian Journal of Work, Environment and Health. - : Scandinavian Journal of Work, Environment and Health. - 0355-3140 .- 1795-990X. ; 44:1, s. 96-105
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Tidskriftsartikel (refereegranskat)abstract
- Objectives. Low back pain (LBP) is a substantial health challenge, due to the risk for long term sickness absence and early retirement. Several biomechanical exposures at work, including sitting, have been suggested to increase the risk for LBP. The objective of this study was to determine the extent to which temporal patterns and total amount of objectively measured sitting is associated with LBP intensity, and whether selected modifiers influence these associations.Methods. This cross sectional study uses baseline data from the Danish PHysical ACTivity cohort with objective measurements of physical activities in the cleaning, transport and manufacturing sectors. Peak intensity of LBP was collected by questionnaire on a 0-10 scale and sitting was expressed in terms of total duration and temporal pattern, i.e. time spent in brief bursts (≤5 minutes), moderate periods (>5 – ≤20 minutes) and prolonged periods of sitting (>20 minutes); both during work and whole day (waking hours only). Associations were determined using linear regression in models accounting for moderation and confounding. Factors evaluated as moderators or confounders were assessed by questionnaire.Results. The population consisted of 704 participants. No significant associations were found between total duration or temporal patterns of sitting and LBP intensity, neither during work nor for the whole day. Body Mass Index significantly moderated the association between sitting and LBP; participants with a high and low BMI showing a negative and positive association, respectively.Conclusion. Sitting was not independently associated with peak LBP intensity, suggesting other exposures to be more powerful risk factors for LBP.
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| 3. |
- Bamia, Christina, et al.
(författare)
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Self-rated health and all-cause and cause-specific mortality of older adults : Individual data meta-analysis of prospective cohort studies in the CHANCES Consortium
- 2017
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Ingår i: Maturitas. - : Elsevier BV. - 0378-5122 .- 1873-4111. ; 103, s. 37-44
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: To evaluate, among the elderly, the association of self-rated health (SRH) with mortality, and to identify determinants of self-rating health as “at-least-good”.Study design: Individual data on SRH and important covariates were obtained for 424,791 European and United States residents, ≥60 years at recruitment (1982–2008), in eight prospective studies in the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES). In each study, adjusted mortality ratios (hazard ratios, HRs) in relation to SRH were calculated and subsequently combined with random-effect meta-analyses.Main outcome measures: All-cause, cardiovascular and cancer mortality.Results: Within the median 12.5 years of follow-up, 93,014 (22%) deaths occurred. SRH “fair” or “poor” vs. “at-least-good” was associated with increased mortality: HRs 1.46 (95% CI 1·23–1.74) and 2.31 (1.79–2.99), respectively. These associations were evident: for cardiovascular and, to a lesser extent, cancer mortality, and within-study, within-subgroup analyses. Accounting for lifestyle, sociodemographic, somatometric factors and, subsequently, for medical history explained only a modest amount of the unadjusted associations. Factors favourably associated with SRH were: sex (males), age (younger-old), education (high), marital status (married/cohabiting), physical activity (active), body mass index (non-obese), alcohol consumption (low to moderate) and previous morbidity (absence).Conclusion: SRH provides a quick and simple tool for assessing health and identifying groups of elders at risk of early mortality that may be useful also in clinical settings. Modifying determinants of favourably rating health, e.g. by increasing physical activity and/or by eliminating obesity, may be important for older adults to “feel healthy” and “be healthy”.
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| 4. |
- Gupta, Nidhi, et al.
(författare)
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Are Temporal Patterns of Sitting Associated with Obesity among Blue-Collar Workers? : A Cross Sectional Study Using Accelerometers
- 2016
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Ingår i: BMC Public Health. - : Springer Science and Business Media LLC. - 1471-2458. ; 16:1
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundLittle is known about the association of objectively measured temporal patterns of sitting (i.e., how sitting is distributed across time) with obesity indicators. We aimed to investigate the extent to which temporal patterns of sitting (time spent in long, moderate and brief uninterrupted sitting periods) are associated with obesity indicators (body mass index (BMI), waist circumference and fat percentage), independently from moderate-vigorous physical activity (MVPA) and total sitting time among blue-collar workers.MethodsWorkers (n=205) wore Actigraph GT3X+ accelerometers on the thigh and trunk for 1-4 working days. The time-line of sitting on working days was computed using the validated Acti4 software. Total sitting time and time spent sitting in brief (≤5 mins), moderate (>5 and ≤30 mins), and long (>30mins) periods were determined for the whole day, and for leisure and work separately. Obesity indicators, i.e. BMI (kg/m2), waist circumference (cm) and fat percentage were objectively measured. Associations between duration of sitting periods and each obesity indicator were determined using linear regression analysis adjusted for several potential confounders including objectively measured MVPA and total sitting time.ResultsSitting time in brief periods was negatively associated with obesity indicators for the whole day (BMI, P<0.01; fat percentage, P<0.01; waist circumference, P<0.01) and work (BMI, P<0.01; fat percentage, P<0.01; waist circumference, P<0.01), but not for leisure time. Sitting time in long periods was positively associated with obesity indicators for the whole day (waist circumference, P=0.05) and work (waist circumference, P=0.01; BMI, P=0.04), but not for leisure time. Sitting in moderate periods was not associated with obesity indicators for any domain.ConclusionTime spent in brief and long periods of sitting during the whole day and at work were inversely associated with obesity indicators when adjusting for MVPA and total sitting time, while sitting during leisure time did not show these associations. Thus, the temporal distribution of sitting seems to influence the relationship between sitting and obesity.
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| 5. |
- Stahlhut, Michelle, et al.
(författare)
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Patterns of sedentary time and ambulatory physical activity in a Danish population of girls and women with Rett syndrome
- 2019
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Ingår i: Disability and Rehabilitation. - : Informa UK Limited. - 0963-8288 .- 1464-5165. ; 41:2, s. 133-141
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Tidskriftsartikel (refereegranskat)abstract
- Background: Rett syndrome (RTT) is a rare neurodevelopmental disorder leading to multiple disabilities and high dependency on caregivers. This study aimed to: (1) describe the patterns of sedentary time and daily steps and (2) identify the association of individual and environmental characteristics with sedentary time. Methods: All Danish females with RTT older than 5 years of age and with a MECP2 mutation were invited to participate. The activPAL and StepWatch Activity Monitor (SAM) were worn by participants for at least four days. Sedentary time and step counts were plotted by time to examine daily activity patterns. Associations between sedentary time and individual and environmental covariates were assessed with linear regression models. Results: The median (interquartile range) age of participants was 22.0 (14.3–36.5) years. On average 83.3% (standard deviation 13.9%) of waking hours were spent in sedentary behaviours (n = 48) and the median (interquartile range) daily step count was 5128 (2829–7704) (n = 28). Females older than 33.5 years, and those unable to walk independently were more sedentary. Conclusions: This study demonstrated high levels of sedentary time and low daily step counts in a Danish population of females with RTT. Advancing age and lower walking skills were associated with higher levels of sedentary time.Implications for RehabilitationSedentary lifestyles in individuals with disabilities have a negative impact on health and quality of life.High levels of sedentary time and low daily step counts were demonstrated in a Danish population of females with Rett syndrome.Advancing age and inability to walk independently were strongly associated with higher levels of sedentary time in females with Rett syndrome.Understanding patterns of sedentary behaviour and physical activity can aid health care professionals in developing health-promoting physical activity interventions.
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