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- Gupta, Nidhi, et al.
(author)
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Movement behavior profiles and obesity : a latent profile analysis of 24-h time-use composition among Danish workers
- 2020
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In: International Journal of Obesity. - : Nature Publishing Group. - 0307-0565 .- 1476-5497. ; 44:2, s. 409-417
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Journal article (peer-reviewed)abstract
- Background/objectivesAn element of obesity prevention is increasing total physical activity energy expenditure. However, this approach does not incorporate the balance of various movement behaviors—physical activity, sedentary behaviors and sleep - across domains of the day. We aimed to identify time-use profiles over work and leisure, termed ‘movement behavior profiles’ and to investigate their association with obesity.Subjects/methodsEight-hundred-and-seven workers completed (a) thigh accelerometry and diaries to determine their 24-h composition of behaviors (sedentary and standing, light physical activity and moderate-to-vigorous physical activity at work and leisure, and time in bed) and (b) obesity measurements. Movement behavior profiles were determined using latent profile analyses of isometric log-ratios of the 24-h composition, and labeled according to animal movement behavior traits. Linear models were applied to determine the association between profiles and obesity.ResultsFour profiles were identified, labeled as “Chimpanzees” (n = 226), “Lions” (n = 179), “Ants” (n = 244), and “Koalas” (n = 158). “Chimpanzees” work time was evenly distributed between behaviors while their leisure time was predominantly active. Compared to Chimpanzees, “Lions” were more active at work and sedentary during leisure and spent more time in bed; “Ants” were more active at work and during leisure; “Koalas” were more sedentary at work and leisure and spent similar time in bed. With “Chimpanzees” as reference, “Lions” had least favorable obesity indicators: +2.0 (95% confidence interval [CI] 0.6, 3.4) %body fat, +4.3 cm (1.4, 7.3) waist circumference and +1.0 (2.0, 0.0) Body Mass Index (BMI), followed by “Koalas” +2.0 (0.4, 3.7) %body fat, +3.1 cm (0.1, 6.0) waist circumference, and +0.8 (−0.30, 1.94) BMI. No significant differences were found between “Chimpanzees” and “Ants”.ConclusionsMovement behavior profiles across work and leisure time-use compositions are associated with obesity. Achieving adequate balance between work and leisure movement behaviors should be further investigated as a potential obesity prevention strategy.
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| 2. |
- Gupta, Nidhi, et al.
(author)
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Physical-behavior profiles and aerobic capacity: A latent profile analysis of 24-hour time-use composition among Danish workers
- 2019
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In: ICAMPAM 2019. - Maastricht : ICAMPAM.
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Conference paper (peer-reviewed)abstract
- Introduction Obtaining a balance between exercise and recovery is an established approach in Exercise Science to improve aerobic capacity. However, it is unknown how different 24-h time-use profiles depicting a balance between physical behaviors (i.e. physical activities, sedentary behavior and sleep) across main domains of the day are associated with aerobic capacity. We aimed to identify such 'physical-behavior (PB) profiles' and to investigate their association with aerobic capacity. Methods Workers (n=807) participated in thigh-accelerometry to determine 24-h time-use composition of physical activity, sedentary and standing during work and leisure, as well as time in bed. Åstrand submaximal cycle ergometer test was used to estimate aerobic capacity. The PB profiles were determined using latent profile analysis of isometric log-ratios representing the 24-hour composition. Linear models were applied to determine the cross-sectional association between physical-behavior profiles and aerobic capacity. Results Four PB profiles were identified that were labeled based on animal traits; Chimpanzees (n=226), Lions (n=179), Ants (n=244), and Koalas (n=158). Compared to Chimpanzees (at work, in mins; sedentary=197, standing=145, physical activity=117; and at leisure in mins; physical activity=114, standing=121, time in bed= 440); Lions were more active at work, sedentary at leisure and spent more time in bed; Ants had more physical activity at work and similar physical activity and time in bed at leisure; Koalas were more sedentary at work and leisure and spent more time in bed. Compared to Chimpanzees, Koalas had lower aerobic capacity (mlO2/kg/min): -3.7 (95%CI -6.0,-1.5), followed by Lions -3.6 (-5.5,-1.7) and Ants -1.8 (-3.7,- 0.1). Conclusions Physical-behavior profiles based on 24-h time-use composition are associated with aerobic capacity. Obtaining a balance between physical behaviors at work and leisure may be a promising approach for improving aerobic capacity.
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| 3. |
- Holtermann, Andreas, et al.
(author)
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24-Hour Physical Behavior Balance for Better Health for All: “The Sweet-Spot Hypothesis”
- 2021
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In: Sports Medicine - Open. - : Springer. - 2199-1170 .- 2198-9761. ; 7:1
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Journal article (peer-reviewed)abstract
- "Sit less-move more" has been the univocal advice to adults for better health. Predominantly, this advice is based on research of physical behaviors during leisure-time. A recent study among > 100,000 adults indicates a u-shaped association between leisure-time physical activity and risk for cardiovascular disease and mortality among adults in physically active occupations. This may be explained by the considerable difference in 24-h physical behaviors between adults in sedentary and physically active occupations. Thus, the advice "sit less-move more" might not be the best for health among adults in physically active occupations. To provide a scientific approach and encourage research on 24-h physical behaviors and health for those in physically active occupations, we propose the "Sweet-Spot Hypothesis." The hypothesis postulates that the "Sweet-Spot" of 24-h physical behaviors for better health differs between adults, depending on their occupation. Specifically, the hypothesis claims that the advice "sit less-move more" does not bring adults in physically active occupations toward their "Sweet-Spot" of 24-h physical behaviors for better health. The purpose of our paper is to encourage researchers to test this proposed hypothesis by describing its origin, its theoretical underpinning, approaches to test it, and practical implications. To promote health for all, and decrease social health inequalities, we see a great need for empirically testing the "Sweet-Spot Hypothesis." We propose the "Sweet-Spot Hypothesis" to encourage discussion, debates, and empirical research to expand our collective knowledge about the healthy "24-h physical behavior balance" for all.
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| 4. |
- Migueles, Jairo H., et al.
(author)
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Longitudinal associations of movement behaviours with body composition and physical fitness from 4 to 9 years of age: structural equation and mediation analysis with compositional data
- 2023
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In: International Journal of Behavioral Nutrition and Physical Activity. - : BMC. - 1479-5868. ; 20:1
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Journal article (peer-reviewed)abstract
- Background The associations of movement behaviours (physical activity [PA], sedentary behaviour [SB], and sleep) with body composition and physical fitness from pre-school to childhood, as well as the direction of the associations, could provide important information for healthy lifestyle promotion in children. This study investigated the longitudinal and bidirectional associations of movement behaviours with body composition and physical fitness measured at 4 and 9 years of age. Methods This longitudinal study included baseline (n = 315, 4.5 [SD = 0.1] years) and follow-up data (n = 231, 9.6 [SD = 0.1] years) from the MINISTOP study. Movement behaviours were measured for 7 days using wrist-worn accelerometers, body composition with air-displacement plethysmography, and physical fitness with the ALPHA health-related fitness test battery. Cross-lagged panel models and mediation analyses were performed in combination with compositional data analysis. Results We did not observe direct associations of the movement behaviours at 4 years with either body composition or physical fitness at 9 years (all P > 0.05). However, fat mass index at 4 years was negatively associated with vigorous PA (VPA), relative to remaining behaviours (VPA, beta = - 0.22, P = 0.002) and light PA (LPA), relative to SB and sleep (beta = - 0.19, P = 0.016) at 9 years. VPA (relative to remaining), moderate PA (MPA) (relative to LPA, SB, and sleep), and SB (relative to sleep) tracked from 4 to 9 years (all beta >= 0.17, all P < 0.002), and these behaviours shared variance with fat mass index (all|beta| >= 0.19, all P < 0.019), and aerobic, motor, and muscular fitness (all|beta| >= 0.19, all P < 0.014) at 9 years. Mediation analysis suggested that the tracking of VPA (relative to remaining behaviours) from 4 to 9 years was negatively associated with fat mass index (beta >= - 0.45, P = 0.012), and positively with aerobic fitness at 9 years (beta >= 1.64, P = 0.016). Conclusion PA and SB tracked from the pre-school years into childhood. Fat mass index at 4 years of age was negatively associated with VPA (relative to remaining behaviours) and LPA (relative to SB and sleep) at 9 years of age. The tracking of VPA was associated with lower fat mass index and higher aerobic fitness at 9 years of age. These findings suggest that higher levels of VPA in pre-school age, if maintained throughout childhood, may support the development of healthy body composition and aerobic fitness levels in later childhood.
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