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Peral-Suárez Á, Sherar LB, Alosaimi N, Kingsnorth AP, Pearson N. Change in clusters of lifestyle behaviours from childhood to adolescence: a longitudinal analysis. Eur J Pediatr 2024; 183:4507-4518. [PMID: 39145886 DOI: 10.1007/s00431-024-05729-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Revised: 08/07/2024] [Accepted: 08/09/2024] [Indexed: 08/16/2024]
Abstract
This study aimed to identify changes in clusters of lifestyle behaviours (physical activity, screen time and diet) between the ages of 7 and 14 years, and to examine socio-demographic determinants of changes. Longitudinal analyses were performed on a sample of 9339 children from the UK Millennium Cohort Study (MCS) who had complete data on behaviours of interest at age 7 (wave 4) and 14 years (wave 6). Joint Correspondence Analysis (JCA) and k-means cluster analysis were used to identify clusters of lifestyle behaviours at both time waves. Multinomial logistic regressions were used to examine the associations between socio-economic variables and changes in cluster membership. Analyses were conducted separately for boys and girls. Clusters of behaviours at age 7 and 14 years were identified as healthy, mixed or unhealthy respectively. Compared to girls, a higher proportion of boys remained in the healthier cluster over time (19.1% vs. 13.1%) or became healthier (26.4% vs. 9.36%). A higher proportion of girls changed to an unhealthier cluster (57.2% vs. 33.9%). Indicators of lower socio-economic status, such as low family income, low parental education, and not living with both parents at age 7 were associated with unhealthier changes in cluster membership. Conclusion Lifestyle behaviours cluster in children and are susceptible to change over a 7-year period, with a high proportion of boys becoming healthier and a higher proportion of girls became unhealthier. Indicators of socio-economic status appear to be important in determining changes in clusters. What is Known: • Poor lifestyle behaviours (i.e. unhealthy dietary habits, low physical activity, and sedentary behaviours) tend to cluster in children and adolescents. What is New: • Lifestyle behaviours cluster in children and are susceptible to changes between childhood and adolescence. Changes occur differently in boys and girls. Indicators of low socio-economic status are associated with unhealthier changes in behavioural clusters.
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Affiliation(s)
- África Peral-Suárez
- Department of Nutrition and Food Sciences, Universidad Complutense de Madrid, Madrid, Spain.
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.
| | - Lauren B Sherar
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Noura Alosaimi
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Andrew P Kingsnorth
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Natalie Pearson
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
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Fu L, Burns RD, Zhe S, Bai Y. What explains adolescents' physical activity and sports participation during the COVID-19 pandemic? - an interpretable machine learning approach. J Sports Sci 2024; 42:1651-1663. [PMID: 39300762 DOI: 10.1080/02640414.2024.2404783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Accepted: 09/09/2024] [Indexed: 09/22/2024]
Abstract
Adolescents' physical activity (PA) and sports participation declined due to the COVID-19 pandemic. This study aimed to determine the critical socio-ecological factors for PA and sports participation using a machine learning approach. We did a cross-sectional secondary data analysis utilising the 2021 National Survey of Children's Health (NSCH) dataset (N=16,166; 49.0% female). We applied an interpretable machine learning approach (e.g. decision tree-based models) that examined the critical factors associated with PA and sports participation. The factors related to the intrapersonal, interpersonal, organisational, and community levels of the socio-ecological model. Out of the 25 factors examined, our findings unveiled the 11 critical factors associated with PA and the 10 critical factors associated with sports participation. Factors at the intrapersonal levels (e.g. age, screen time, and race) held greater importance to PA than those at the other three levels. While interpersonal factors (e.g. parent participation in children's events/activities, family's highest educational level, and family income level) were most important for sports participation. This study identified that the common critical factors of physical activity and sports participation during the COVID-19 pandemic mainly relied on intrapersonal and interpersonal levels. Unique factors were discussed.
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Affiliation(s)
- Lingyi Fu
- Department of Health & Kinesiology, University of Utah, Salt Lake City, USA
| | - Ryan D Burns
- Department of Health & Kinesiology, University of Utah, Salt Lake City, USA
| | - Shandian Zhe
- Kahlert School of Computing, University of Utah, Salt Lake City, USA
| | - Yang Bai
- Department of Health & Kinesiology, University of Utah, Salt Lake City, USA
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Stevens WR, Roberts H, Lopez C, Tulchin-Francis K. COVID-19 Stay-at-home mandates impacts daily ambulatory bout intensity and duration in elementary school-aged children: A wearable sensor based analysis. Gait Posture 2024; 111:126-131. [PMID: 38678931 DOI: 10.1016/j.gaitpost.2024.04.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 03/14/2024] [Accepted: 04/12/2024] [Indexed: 05/01/2024]
Abstract
INTRODUCTION SARS COVID-19 pandemic resulted in major changes to how daily life was conducted. Health officials instituted policies to decelerate the spread of the virus, resulting in changes in physical activity patterns of school-aged children. The aim of this study was to utilize a wearable activity monitor to assess ambulatory activity in elementary-school aged children in their home environment during a COVID-19 Stay-at-Home mandate. METHODS This institutional review board approved research study was performed between April 3rd - May 1st of 2020 during which health officials issued several stay-at-home (shelter-in-place) orders. Participant recruitment was conducted using a convenience sample of 38 typically developing children. Participants wore a StepWatch Activity Monitor for one week and data were downloaded and analyzed to assess global ambulatory activity measures along with ambulatory bout intensity/duration. For comparison purposes, SAM data collected before the pandemic, of a group of 27 age-matched children from the same region of the United States, was included. Statistical analyses were performed comparing SAM variables between children abiding by a stay-at-home mandate (Stay-at-Home) versus the Historical cohort (alpha=0.05). RESULTS Stay-at-Home cohort took on average 3737 fewer daily total steps compared to the Historical cohort (p<0.001). Daily Total Ambulatory Time (TAT), across all days was significantly lower in the Stay-at-Home cohort compared to the Historical cohort (mean difference: 81.9 minutes, p=0.001). The Stay-at-Home cohort spent a significantly higher percentage of TAT in Easy intensity ambulatory activity (mean difference: 2%, p<0.001) and therefore a significantly lower percentage of TAT in Moderate+ intensity (mean difference: 2%, p<0.001). CONCLUSIONS The stay-at-home mandates resulted in lower PA levels in elementary school-aged children, beyond global measures to also bout intensity/duration. It appears that in-person school is a major contributor to achieving higher levels of PA and our study provides additional data for policymakers to consider for future decisions.
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Affiliation(s)
| | - Heather Roberts
- Scottish Rite for Children, TX, USA; Texas Woman's University, Denton, TX, USA
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Jia H, Zheng M, Wang P, Li T, Zheng X. Big data-driven spatio-temporal heterogeneity analysis of Beijing's catering service industry during the COVID-19 pandemic. Sci Rep 2024; 14:721. [PMID: 38184685 PMCID: PMC10771444 DOI: 10.1038/s41598-024-51251-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 01/02/2024] [Indexed: 01/08/2024] Open
Abstract
The Catering Service Industry (CSI) experienced profound impacts due to the COVID-19 pandemic. However, the long-term and multi-timepoint analysis using big data remained limited, influencing governmental decision-making. We applied Kernel Density Estimation, Shannon Diversity Index, and the Geographic detector to explore the spatial heterogeneity and determinants of the CSI in Beijing during the pandemic, with monthly granularity. The temporal-spatial dynamics of the CSI presented a "W"-shaped trend from 2018 to 2023, with pivotal shifts aligning with key pandemic stages. Spatial characteristics exhibited heterogeneity, with greater stability in the city center and more pronounced shifts in peripheral urban zones. Districts facing intricate outbreaks showed lower catering income, and Chinese eateries exhibited heightened resilience compared to others. The CSI displayed strong interconnections with living service sectors. Development in each district was influenced by economic level, population distribution, service facilities convenience, and the risk of the COVID-19 pandemic. Dominant factors included total retail sales of consumer goods, permanent population, average Baidu Heat Index, density of transportation and catering service facilities, infection cases and the consecutive days with confirmed cases existing. Consequently, we suggested seizing post-pandemic recovery as an avenue to unlock the CSI's substantial potential, ushering a fresh phase of growth.
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Affiliation(s)
- Haichao Jia
- School of Information Engineering, China University of Geosciences, Beijing, 100083, China
| | - Minrui Zheng
- School of Public Administration and Policy, Renmin University of China, Beijing, 100872, China.
- Digital Government and National Governance Lab, Renmin University of China, Beijing, 100872, China.
| | - Peipei Wang
- School of Information Engineering, China University of Geosciences, Beijing, 100083, China
| | - Tianle Li
- School of Information Engineering, China University of Geosciences, Beijing, 100083, China
| | - Xinqi Zheng
- School of Information Engineering, China University of Geosciences, Beijing, 100083, China
- Technology Innovation Center for Territory Spatial Big-Data, MNR of China, Beijing, 100036, China
- Beijing Fangshan Observation and Research Station of Comprehensive Exploration Technology, Ministry of Natural Resources of People's Republic of China, Beijing, 102400, China
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Patel J, Katapally TR, Khadilkar A, Bhawra J. The interplay between air pollution, built environment, and physical activity: Perceptions of children and youth in rural and urban India. Health Place 2024; 85:103167. [PMID: 38128264 DOI: 10.1016/j.healthplace.2023.103167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 12/05/2023] [Accepted: 12/06/2023] [Indexed: 12/23/2023]
Abstract
The role of physical inactivity as a contributor to non-communicable disease risk in children and youth is widely recognized. Air pollution and the built environment can limit participation in physical activity and exacerbate non-communicable disease risk; however, the relationships between perceptions of air pollution, built environment, and health behaviours are not fully understood, particularly among children and youth in low and middle-income countries. Currently, there are no studies capturing how child and youth perceptions of air pollution and built environment are associated with physical activity in India, thus, this study investigated the association between perceived air pollution and built environment on moderate-to-vigorous physical activity (MVPA) levels of Indian children and youth. Online surveys captured MVPA, perception of air pollution as a problem, built environment factors, as well as relevant sociodemographic characteristics from parents and children aged 5-17 years in partnership with 41 schools across 28 urban and rural locations during the Coronavirus disease lockdowns in 2021. After adjusting for age, gender, and location, a significant association was found between the perception of air pollution as a problem and MVPA levels (β = -18.365, p < 0.001). Similarly, the perception of a high crime rate was associated with lower MVPA levels (β = -23.383, p = 0.002). Reporting the presence of zebra crossings, pedestrian signals, or attractive natural sightings were associated with higher MVPA levels; however, this association varied across sociodemographic groups. These findings emphasize the importance of addressing air pollution and improving the built environment to facilitate outdoor active living, including active transportation, among children and youth - solutions that are particularly relevant not only for preventing non-communicable disease risk but also for climate change mitigation.
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Affiliation(s)
- Jamin Patel
- DEPtH Lab, Faculty of Health Sciences, Western University, London, Ontario, N6A 5B9, Canada; Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, N6A 3K7, Canada
| | - Tarun Reddy Katapally
- DEPtH Lab, Faculty of Health Sciences, Western University, London, Ontario, N6A 5B9, Canada; Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, N6A 3K7, Canada; Children's Health Research Institute, Lawson Health Research Institute, 750 Base Line Road East, Suite 300, London, Ontario, N6C 2R5, Canada; Hirabai Cowasji Jehangir Medical Research Institute, Pune, Maharashtra, 411 001, India
| | - Anuradha Khadilkar
- Hirabai Cowasji Jehangir Medical Research Institute, Pune, Maharashtra, 411 001, India
| | - Jasmin Bhawra
- Hirabai Cowasji Jehangir Medical Research Institute, Pune, Maharashtra, 411 001, India; School of Occupational and Public Health, Toronto Metropolitan University, Toronto, Ontario, M5B 2K3, Canada.
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Duraiswamy S, Dirago C, Poulson M, Torres C, Sanchez S, Kenzik K, Dechert T, Scantling D. Gun Laws, Stay-at-Home Orders, and Poverty: Surges in Pandemic Firearm Violence in Large US Cities. J Surg Res 2024; 293:204-216. [PMID: 37778088 DOI: 10.1016/j.jss.2023.08.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 07/11/2023] [Accepted: 08/26/2023] [Indexed: 10/03/2023]
Abstract
INTRODUCTION The COVID-19 pandemic heralded a surge in firearm homicides (FH) in many, but not all, urban centers. We aimed to determine the relationship of firearm restrictive legislation, stay-at-home orders (SaHOs), and FH during the height of the COVID-19 pandemic in US cities. METHODS Demographics and socioeconomic data were captured from the 2020 US Census for large (population ≥250,000) cities. FH data were captured from the Gun Violence Archive. We retrieved firearm recovery estimates from the Bureau of Alcohol, Tobacco, and Firearms Firearms Trace Database. Firearm restrictive legislation was gathered from the State Firearm Laws Database. SaHO durations were found from press releases and government sources. Variables with P ≤ 0.200 in univariate linear regression were entered into a final multivariable model. RESULTS A median of 7.5 FH per 100,000 people occurred in the 85 included US cities across 32 states in 2020 (range, 0.35-69.80 per 100,000). In multivariable regression, longer SaHOs (β: 0.033, 95% confidence interval [CI]: 0.014-0.053, P = 0.001) and higher poverty (β: 0.471, 95% CI: 0.280-0.670, P < 0.001) were associated with increases in FH. Handgun-specific laws (β: -0.793, 95% CI: -1.430 to -0.160, P = 0.015) were associated with lower FH. CONCLUSIONS We found that poverty and longer SaHOs were associated with increased FH in large US cities during the height of the pandemic, while handgun-specific laws were associated with a decrease. Reducing poverty, mitigating the negative effects of SaHOs, and expanding handgun-specific legislation may protect from surges in FH during future crises.
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Affiliation(s)
- Swetha Duraiswamy
- Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts
| | - Camille Dirago
- Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts
| | - Michael Poulson
- Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts; Department of Surgery, Boston Medical Center, Boston, Massachusetts
| | - Crisanto Torres
- Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts; Department of Surgery, Boston Medical Center, Boston, Massachusetts
| | - Sabrina Sanchez
- Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts; Department of Surgery, Boston Medical Center, Boston, Massachusetts
| | - Kelly Kenzik
- Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts; Department of Surgery, Boston Medical Center, Boston, Massachusetts
| | - Tracey Dechert
- Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts; Department of Surgery, Boston Medical Center, Boston, Massachusetts
| | - Dane Scantling
- Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts; Department of Surgery, Boston Medical Center, Boston, Massachusetts. https://twitter.com/Dane_Scantling
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Vanderloo LM, Saravanamuttoo K, Bourke M, Zhong S, Szpunar M, Gilliland J, Burke SM, Irwin JD, Truelove S, Tucker P. Parents' attitudes regarding their children's play during COVID-19: Impact of socioeconomic status and urbanicity. SSM Popul Health 2023; 24:101549. [PMID: 38021457 PMCID: PMC10661847 DOI: 10.1016/j.ssmph.2023.101549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 10/17/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023] Open
Abstract
Objectives The COVID-19 pandemic has had a profound impact on the daily routines of parents and children. This study explored the influence of socioeconomic status (SES) and urbanicity on parents' attitudes toward their children's active play opportunities 6 months and 1.5 years into COVID-19. Methods A sample of 239 Ontario parents of children aged 12 and younger completed two online surveys (August-December 2020; 2021) to assess parents' intentions, beliefs, and comforts concerning their child's eventual return to play, in addition to various sociodemographic and physical activity variables. Descriptive analyses were run as well as an exploratory factor analysis (EFA) was conducted to group the 14 attitude items into subscales for analysis, to ensure reliability and validity of attitude measures. Results In general, parents in communities with more urban features (e.g., densely populated areas), single-parents, full-time employed parents, and parents with lower-incomes were more hesitant to return their children to active play during the pandemic. Conclusion Findings from this work highlight SES and urbanicity disparities that continue to exist during COVID-19.
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Affiliation(s)
- Leigh M. Vanderloo
- School of Occupational Therapy, Faculty of Health Sciences, University of Western Ontario, Elborn College, 1201 Western Road, Room 2547, London, ON, N6G 1H1, Canada
- ParticipACTION, 77 Bloor Street West, Suite 1205, Toronto, ON, M5S 1M2, Canada
| | - Kendall Saravanamuttoo
- Health and Rehabilitation Sciences Program, Faculty of Health Sciences, University of Western Ontario, London, ON, N6A 5B9, Canada
| | - Matthew Bourke
- School of Occupational Therapy, Faculty of Health Sciences, University of Western Ontario, Elborn College, 1201 Western Road, Room 2547, London, ON, N6G 1H1, Canada
| | - Shiran Zhong
- Department of Geography and Environment, University of Western Ontario, London, ON, N6G 1H1, Canada
| | - Monika Szpunar
- Health and Rehabilitation Sciences Program, Faculty of Health Sciences, University of Western Ontario, London, ON, N6A 5B9, Canada
| | - Jason Gilliland
- Department of Geography and Environment, University of Western Ontario, London, ON, N6G 1H1, Canada
- School of Health Studies, Faculty of Health Sciences, University of Western Ontario, London, ON N6G 1H1, Canada
- Children's Health Research Institute, Lawson Health Research Institute, London, ON, N6C 2R5, Canada
- Department of Pediatrics, University of Western Ontario, London, ON, N6G 1H1, Canada
- Department of Epidemiology & Biostatistics, University of Western Ontario, London, ON, N6G 1H1, Canada
| | - Shauna M. Burke
- School of Health Studies, Faculty of Health Sciences, University of Western Ontario, London, ON N6G 1H1, Canada
- Children's Health Research Institute, Lawson Health Research Institute, London, ON, N6C 2R5, Canada
| | - Jennifer D. Irwin
- School of Health Studies, Faculty of Health Sciences, University of Western Ontario, London, ON N6G 1H1, Canada
| | - Stephanie Truelove
- Member Interest Groups Section, Professional Development and Practice Support, College of Family Physicians of Canada, Mississauga, ON, L4W 5A4, Canada
| | - Patricia Tucker
- School of Occupational Therapy, Faculty of Health Sciences, University of Western Ontario, Elborn College, 1201 Western Road, Room 2547, London, ON, N6G 1H1, Canada
- Children's Health Research Institute, Lawson Health Research Institute, London, ON, N6C 2R5, Canada
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Beese S, Drumm K, Wells-Yoakum K, Postma J, Graves JM. Flexible Resources Key to Neighborhood Resilience for Children: A Scoping Review. CHILDREN (BASEL, SWITZERLAND) 2023; 10:1791. [PMID: 38002882 PMCID: PMC10670030 DOI: 10.3390/children10111791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 10/31/2023] [Accepted: 11/03/2023] [Indexed: 11/26/2023]
Abstract
Neighborhoods have been the focus of health researchers seeking to develop upstream strategies to mitigate downstream disease development. In recent years, neighborhoods have become a primary target in efforts to promote health and resilience following deleterious social conditions such as the climate crisis, extreme weather events, the global pandemic, and supply chain disruptions. Children are often the most vulnerable populations after experiencing unexpected shocks. To examine and describe conceptually the construct of Neighborhood Resilience, we conducted a comprehensive scoping review using the terms ("resilience" or "resiliency" or "resilient") AND ("neighborhood"), utilizing MEDLINE (through PubMed) and CINAHL (through EBSCOhost) databases, to assess overall neighborhood themes that impact resilience. A total of 57 articles were extracted that met inclusion criteria. Extracted characteristics included study purpose, country of origin, key findings, environmental protective/risk factors. The analysis revealed a positive relationship between neighborhood resource density, neighborhood resiliency, and individual resiliency. This study reports the finding for studies with a population focus of pre-school age and school age children (1.5-18 years of age). Broadly, we identified that the primary goals regarding neighborhood resilience for childhood can be conceptualized as all activities and resources that (a) prevent trauma during childhood development and/or (b) mitigate or heal childhood trauma once it has occurred. This goal conceptually encompasses antecedents that increase protective factors and reduces risk factors for children and their families. This comprehensive look at the literature showed that a neighborhood's ability to build, promote, and maintain resiliency is often largely dependent on the flexible resources (i.e., knowledge, money, power, prestige, and beneficial social connections) that are available.
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Affiliation(s)
- Shawna Beese
- College of Agricultural, Human, and Natural Resources Sciences (CAHNRS), Washington State University, Pullman, WA 99164, USA;
- College of Nursing, Washington State University, Spokane, WA 99201, USA; (J.P.); (J.M.G.)
| | - Kailie Drumm
- Nursing Program, Lower Columbia College, Longview, WA 98632, USA;
| | - Kayla Wells-Yoakum
- College of Agricultural, Human, and Natural Resources Sciences (CAHNRS), Washington State University, Pullman, WA 99164, USA;
| | - Julie Postma
- College of Nursing, Washington State University, Spokane, WA 99201, USA; (J.P.); (J.M.G.)
| | - Janessa M. Graves
- College of Nursing, Washington State University, Spokane, WA 99201, USA; (J.P.); (J.M.G.)
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Evenson KR, Alothman SA, Moore CC, Hamza MM, Rakic S, Alsukait RF, Herbst CH, Baattaiah BA, AlAhmed R, Al-Hazzaa HM, Alqahtani SA. A scoping review on the impact of the COVID-19 pandemic on physical activity and sedentary behavior in Saudi Arabia. BMC Public Health 2023; 23:572. [PMID: 36973687 PMCID: PMC10041481 DOI: 10.1186/s12889-023-15422-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 03/10/2023] [Indexed: 03/29/2023] Open
Abstract
BACKGROUND In Saudi Arabia, stay-at-home orders to address the coronavirus disease 2019 (COVID-19) pandemic between March 15 and 23, 2020 and eased on May 28, 2020. We conducted a scoping review to systematically describe physical activity and sedentary behavior in Saudi Arabia associated with the timing of the lockdown. METHODS We searched six databases on December 13, 2021 for articles published in English or Arabic from 2018 to the search date. Studies must have reported data from Saudi Arabia for any age and measured physical activity or sedentary behavior. RESULTS Overall, 286 records were found; after excluding duplicates, 209 records were screened, and 19 studies were included in the review. Overall, 15 studies were cross-sectional, and 4 studies were prospective cohorts. Three studies included children and adolescents (age: 2-18 years), and 16 studies included adults (age: 15-99 years). Data collection periods were < = 5 months, with 17 studies collecting data in 2020 only, one study in 2020-2021, and one study in 2021. The median analytic sample size was 363 (interquartile range 262-640). Three studies of children/adolescents collected behaviors online at one time using parental reporting, with one also allowing self-reporting. All three studies found that physical activity was lower during and/or following the lockdown than before the lockdown. Two studies found screen time, television watching, and playing video games were higher during or following the lockdown than before the lockdown. Sixteen adult studies assessed physical activity, with 15 utilizing self-reporting and one using accelerometry. Physical activity, exercise, walking, and park visits were all lower during or following the lockdown than before the lockdown. Six adult studies assessed sedentary behavior using self-report. Sitting time (4 studies) and screen time (2 studies) were higher during or following the lockdown than before the lockdown. CONCLUSIONS Among children, adolescents, and adults, studies consistently indicated that in the short-term, physical activity decreased and sedentary behavior increased in conjunction with the movement restrictions. Given the widespread impact of the pandemic on other health behaviors, it would be important to continue tracking behaviors post-lockdown and identify subpopulations that may not have returned to their physical activity and sedentary behavior to pre-pandemic levels to focus on intervention efforts.
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Affiliation(s)
- Kelly R Evenson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina - Chapel Hill, NC, Chapel Hill, USA.
| | - Shaima A Alothman
- Lifestyle and Health Research Center, Health Science Research Center, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Christopher C Moore
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina - Chapel Hill, NC, Chapel Hill, USA
| | | | | | - Reem F Alsukait
- World Bank Group, Washington, D.C, USA
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | | | - Baian A Baattaiah
- Department of Physical Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Reem AlAhmed
- King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia
| | - Hazzaa M Al-Hazzaa
- Lifestyle and Health Research Center, Health Science Research Center, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Saleh A Alqahtani
- King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia
- Division of Gastroenterology and Hepatology, Johns Hopkins University, Baltimore, MD, USA
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Bekelman TA, Dong Y, Elliott AJ, Ferrara A, Friesen K, Galarce M, Gilbert-Diamond D, Glueck DH, Hedderson MM, Hockett CW, Karagas MR, Knapp EA, Lucchini M, McDonald JC, Sauder KA, Dabelea D. Health Behavior Changes during the COVID-19 Pandemic: A Longitudinal Analysis among Children. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19159220. [PMID: 35954577 PMCID: PMC9368377 DOI: 10.3390/ijerph19159220] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 07/20/2022] [Accepted: 07/25/2022] [Indexed: 12/04/2022]
Abstract
This longitudinal study compared children’s health behaviors before the COVID-19 pandemic versus during the pandemic. This analysis examined the association between individual-level characteristics and health behavior change. Four prospective cohort studies in the Environmental influences on Child Health Outcomes (ECHO) Program contributed data. Children aged 4−12 years and their caregivers were recruited in California, Colorado, North Dakota, and New Hampshire. Dietary intake, physical activity, screen time, and sleep duration were assessed with questionnaires pre-pandemic and during the pandemic. The final sample included 347 children: 47% female and 62% non-Hispanic White. Compared with pre-pandemic, weekday screen time duration was higher during the pandemic (3.0 vs. 4.5 h, p < 0.001). Unadjusted increases in screen time duration differed by race and ethnicity: 1.3 h/day for non-Hispanic White children, 2.3 h/day for Hispanic children, and 5.3 h/day for non-Hispanic Black children. Overall, no changes occurred in sugar-sweetened beverage (SSB) intake (p = 0.26), discretionary food intake (p = 0.93), and physical activity (p = 0.15). Sleep duration increased by 30 min among children who did not meet sleep recommendations pre-pandemic. Child sex and maternal education level were not associated with health behavior change. The pandemic may have exacerbated disparities in some health behaviors. Families may need support to re-establish healthy routines.
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Affiliation(s)
- Traci A. Bekelman
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA; (K.F.); (D.H.G.); (K.A.S.); (D.D.)
- Correspondence:
| | - Yanan Dong
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA; (Y.D.); (E.A.K.)
| | - Amy J. Elliott
- Avera Research Institute, Sioux Falls, SD 57108, USA; (A.J.E.); (C.W.H.)
- Department of Pediatrics, School of Medicine, University of South Dakota, Sioux Falls, SD 57108, USA
| | - Assiamira Ferrara
- Kaiser Permanente Northern California Division of Research, Oakland, CA 94612, USA; (A.F.); (M.G.); (M.M.H.); (J.C.M.)
| | - Kaylyn Friesen
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA; (K.F.); (D.H.G.); (K.A.S.); (D.D.)
| | - Maren Galarce
- Kaiser Permanente Northern California Division of Research, Oakland, CA 94612, USA; (A.F.); (M.G.); (M.M.H.); (J.C.M.)
| | - Diane Gilbert-Diamond
- Department of Epidemiology, Medicine and Pediatrics, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA; (D.G.-D.); (M.R.K.)
| | - Deborah H. Glueck
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA; (K.F.); (D.H.G.); (K.A.S.); (D.D.)
- Department of Pediatrics, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA
| | - Monique M. Hedderson
- Kaiser Permanente Northern California Division of Research, Oakland, CA 94612, USA; (A.F.); (M.G.); (M.M.H.); (J.C.M.)
| | - Christine W. Hockett
- Avera Research Institute, Sioux Falls, SD 57108, USA; (A.J.E.); (C.W.H.)
- Department of Pediatrics, School of Medicine, University of South Dakota, Sioux Falls, SD 57108, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Medicine and Pediatrics, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA; (D.G.-D.); (M.R.K.)
| | - Emily A. Knapp
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA; (Y.D.); (E.A.K.)
| | - Maristella Lucchini
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY 10032, USA;
| | - Julia C. McDonald
- Kaiser Permanente Northern California Division of Research, Oakland, CA 94612, USA; (A.F.); (M.G.); (M.M.H.); (J.C.M.)
| | - Katherine A. Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA; (K.F.); (D.H.G.); (K.A.S.); (D.D.)
- Department of Pediatrics, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA; (K.F.); (D.H.G.); (K.A.S.); (D.D.)
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