Correlates of sedentary behaviour in university students: A systematic review

Castro, Óscar; Bennie, Jason A.; Vergeer, Ineke; Bosselut, Grégoire; Biddle, Stuart J. H.

doi:10.1016/j.ypmed.2018.09.016

Cited by 74 publications

(65 citation statements)

References 127 publications

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“…Additionally, we hand‐searched articles on the Sedentary Behaviour Research Network website (https://www.sedentarybehaviour.org/) and checked reference lists of relevant reviews . Furthermore, we requested for relevant studies on social media platforms; ResearchGate (social media network for scientists) and Twitter.…”

Section: Methodsmentioning

confidence: 99%

“…We performed searches in the following scientific databases: Medline org/) and checked reference lists of relevant reviews. 32,34,35,40,[46][47][48][49][50] Furthermore, we requested for relevant studies on social media platforms; ResearchGate (social media network for scientists) and Twitter. This allowed us to include studies until August 2019.…”

Section: Search Strategymentioning

confidence: 99%

“…For example, a systematic review on SB correlates in adults that included 74 studies identified only three from Asia . More recent reviews identified more studies from Asia (24 of 257 and 27 of 129, respectively) . However, these reviews were conducted some time ago and have two key shortcomings: (a) Results were not analysed and presented based on world regions, and (b) studies were not retrieved from region‐specific databases, and only research published in European languages were included.…”

Section: Introductionmentioning

confidence: 99%

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Correlates of sedentary behaviour in Asian adults: A systematic review

et al. 2020

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Summary The objective of this study is to systematically review the evidence on correlates of sedentary behaviour (SB) among Asian adults. We searched for studies that examined individual, environmental, and political/cultural correlates of total and domain‐specific SB (transport, occupation, leisure, and screen time) in Asian adults published from 2000 onwards in nine scientific databases. Two reviewers independently screened identified references. Following quality assessment of included studies, we performed narrative synthesis that considered differences based on SB measurements, regions, and population characteristics (PROSPERO: CRD42018095268). We identified 13 249 papers of which we included 49, from four regions and 12 countries. Researchers conducted cross‐sectional analyses and most relied on SB self‐report for SB measurement. Of the 118 correlates studied, the following associations were consistent: higher age, living in an urban area (East Asia), and lower mental health with higher total SB; higher education with higher total and occupational SB; higher income with higher leisure‐time SB; higher transit density with higher total SB in older East Asians; and being an unmarried women with higher SB in the Middle East. We encourage more research in non‐high‐income countries across regions, further exploration of important but neglected correlates using longitudinal designs and qualitative research, and the use of objective instruments to collect SB data.

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Section: Methodsmentioning

confidence: 99%

Section: Search Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Correlates of sedentary behaviour in Asian adults: A systematic review

et al. 2020

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“…Therefore, in general, neither having a sedentary life style nor being physically active can be considered as an important factor in improving health and quality of life (Fitz and Boland, 2018). Sedentary behavior is characterized by energy consumption of 1.0 to 1.5 METs (metabolic equivalent) when the body is sitting, lying in short resting (Pate et al, 2008;Tremblay et al, 2017;Castro et al, 2018). Changes in physical, social and economic conditions have made sedentary status more common (Castro et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Sedentary behavior is characterized by energy consumption of 1.0 to 1.5 METs (metabolic equivalent) when the body is sitting, lying in short resting (Pate et al, 2008;Tremblay et al, 2017;Castro et al, 2018). Changes in physical, social and economic conditions have made sedentary status more common (Castro et al, 2018). Sedentary or inactive lifestyle adversely affects healthy and quality of life and leads to risk of some diseases.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Body Composition and Quality of Life of University Students

Şahin

Yıldırım

et al. 2019

Asian Journal of Education and Training

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The aim of this study is to evaluate the physical activity levels and the quality of life of the university students. In this purpose, the SF-36 life quality scale was used to examine the quality of life of the participants and physical activity levels were also determined through IPAQ. One-way ANOVA was used to compare the quality of life based on the physical activity levels of the participants. Moreover, the Bonferroni Correction were used to determine which physical activity level causes the difference by keeping the type I error rate fixed at 0.05. Statistically significant results were observed between social function and physical activity levels for the female group. In addition, statistically significant results were found between vitality and physical activity levels for the male group. The results show that there is a significant relationship between physical activity and quality of life. The individuals who feel more fit and social tend to have an active life. Given that it is crucial to intensify the studies on this topic for university students to encourage them for taking up regular physical activity as a part of life style.

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Effect of COVID‐19 pandemic on bioimpedance health indicators in young adults

Falbová,

Beňuš,

Sulis

et al. 2024

American J Hum Biol

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ObjectivesHerein, we investigate the relationships between the COVID‐19 pandemic and overcoming the virus, and its effects on body composition parameters in young adults from Slovakia.MethodsWe assessed 773 adults aged 18 to 30 years in pandemic‐status sub‐groups. Individual lifestyles and overcoming the COVID‐19 effects were evaluated by a detailed questionnaire, and body composition parameters were analyzed using the InBody 770 bioimpedance analyzer.ResultsStatistically significant lower values were observed in the male group during the pandemic for the following parameters; proteins and minerals, fat free mass (FFM), skeletal muscle mass (SMM), lean body mass (LBM) and its values in the right and left arm and trunk, total body water (TBW) and its values in the right and left arm and trunk, body cell mass (BCM), basal metabolic rate (BMR) and phase angle (PA). The regression analysis confirmed the negative pandemic effect and the negative impact of COVID‐19 on men in the following parameters: proteins (p = .027 for pandemic and p = .005 for COVID‐19), FFM (p = .023 for pandemic and p = .005 for COVID‐19), LBM (p = .022 for pandemic and p = .004 for COVID‐19), SMM (p = .028 for pandemic and p = .005 for COVID‐19), TBW (p = .020 for pandemic and p = .004 for COVID‐19), BMR (p = .024 for pandemic and p = .005 for COVID‐19) and PA (p = .009 for pandemic). Physical activity was a further significant predictor in men for all the above parameters.ConclusionsWe observed significantly lower body composition parameters associated with fat free mass in young adult men during the pandemic than before it. However, future research is warranted to determine if these effects have long‐term significance.

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Correlates of sedentary behaviour in university students: A systematic review

Cited by 74 publications

References 127 publications

Correlates of sedentary behaviour in Asian adults: A systematic review

Correlates of sedentary behaviour in Asian adults: A systematic review

Evaluation of Body Composition and Quality of Life of University Students

Effect of COVID‐19 pandemic on bioimpedance health indicators in young adults

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