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Edney S, Chua XH, Müller AM, Kui KY, Müller-Riemenschneider F. mHealth interventions targeting movement behaviors in Asia: A scoping review. Obes Rev 2022; 23:e13396. [PMID: 34927346 DOI: 10.1111/obr.13396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 09/05/2021] [Accepted: 10/28/2021] [Indexed: 11/27/2022]
Abstract
mHealth interventions can promote healthy movement behaviors (physical activity, sedentary behavior, and sleep). However, recent reviews include few studies from Asia, despite it being home to over 60% of the world population. The aim is to map the current evidence for mHealth interventions targeting movement behaviors in Asia. Six databases were searched up until August 2021. Included studies described an mHealth intervention targeting one or more movement behaviors, delivered in a country/territory in Asia, to a general population. A total of 3986 unique records were screened for eligibility in duplicate. Eighty studies with 1,413,652 participants were included. Most were randomized (38.8%) or quasi-experimental (27.5%) trials. Studies were from 17 countries/territories (out of 55); majority were high- (65.0%) or upper middle-income (28.7%). Physical activity was targeted most often (93.8%), few targeted sedentary behavior (7.5%), or sleep (8.8%). Most targeted one movement behavior (90.0%), and none targeted all three together. Interventions typically incorporated a single mHealth component (70.0%; app, pedometer, text messages, wearable) and were delivered remotely (66.3%). The average intervention length was 121.8 (SD 127.6) days. mHealth interventions in Asia have primarily targeted physical activity in high- and upper middle-income countries. There are few interventions targeting sedentary behavior or sleep, and no interventions in low-income countries.
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Affiliation(s)
- Sarah Edney
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Xin Hui Chua
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Andre Matthias Müller
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Kiran Yan Kui
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Digital Health Center, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
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Ueno DT, Guerra PH, Christofoletti AEM, Bonolo A, Nakamura PM, Kokubun E. Mobile health apps to reduce sedentary behavior: a scoping review. Health Promot Int 2021; 37:6352601. [PMID: 34392354 DOI: 10.1093/heapro/daab124] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Given the continued increase in mobile health applications (apps) aimed at healthcare and the recognition of sedentary behavior (SB) as a public health problem, the goal of this scoping review study was to summarize the effects of interventions based on mobile health apps designed to reduce SB in adults, with a specific focus on SB. The electronic databases PubMed, PsycINFO, SportDISCUS, Web of Science, and manual searches in reference lists were conducted on papers published up to September 2020. Nine out of the 897 studies researched were included and composed the descriptive synthesis. The investigations found in the present study showed a decrease in time spent on television viewing and in total time spent sitting, as well as an increase in the number of SB breaks after interventions based on mobile health apps. In conclusion, despite the growing interest in intervention programs in SB, only nine studies have used smartphone apps as a strategy to reduce SB in adults. Mobile health apps were proved to be effective in SB reduction, as assessed by different parameters, and should be encouraged. However, further studies are needed to verify the long-term effects of the utilization of such applications.
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Affiliation(s)
- Deisy Terumi Ueno
- Department of Physical Education, Postgraduate Program in Movement Sciences, São Paulo State University (UNESP), Institute of Biosciences, Av. 24A, 1515, Bela Vista, Rio Claro/SP 13506-900, Brazil
| | - Paulo Henrique Guerra
- Federal University of Fronteira Sul, Rodovia SC, 484-Km 02, Fronteira Sul, Chapecó/SC 89815-899, Brazil.,School of Arts, Sciences and Humanities, University of São Paulo, Rua Arlindo Bettio, 1000, Vila Guaraciaba, São Paulo/SP 03828-000, Brazil
| | - Ana Elisa Messetti Christofoletti
- Department of Physical Education, Postgraduate Program in Movement Sciences, São Paulo State University (UNESP), Institute of Biosciences, Av. 24A, 1515, Bela Vista, Rio Claro/SP 13506-900, Brazil
| | - Angélica Bonolo
- Department of Physical Education, Postgraduate Program in Movement Sciences, São Paulo State University (UNESP), Institute of Biosciences, Av. 24A, 1515, Bela Vista, Rio Claro/SP 13506-900, Brazil
| | - Priscila Missaki Nakamura
- Department of Physical Education, Postgraduate Program in Movement Sciences, São Paulo State University (UNESP), Institute of Biosciences, Av. 24A, 1515, Bela Vista, Rio Claro/SP 13506-900, Brazil.,Federal Institute of Education, Science and Technology-Sul de Minas Gerais, IFSULDEMINAS, Estrada de Muzambinho, Km 35, Morro Preto, Muzambinho/MG 37890-000, Brazil
| | - Eduardo Kokubun
- Department of Physical Education, Postgraduate Program in Movement Sciences, São Paulo State University (UNESP), Institute of Biosciences, Av. 24A, 1515, Bela Vista, Rio Claro/SP 13506-900, Brazil
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Lee J, Lee J, Lee D, Kim H, Kang M. Sedentary work and breast cancer risk: A systematic review and meta-analysis. J Occup Health 2021; 63:e12239. [PMID: 34161650 PMCID: PMC8221371 DOI: 10.1002/1348-9585.12239] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 05/10/2021] [Accepted: 05/18/2021] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVES This systematic review and meta-analysis aimed to assess sedentary work's contribution to breast cancer risk quantitatively using thorough research articles. METHODS We performed a meta-analysis using a registered protocol in PROSPERO (registration number: CRD42020204629). Literature from PubMed, Embase, and Cochrane involving sedentary work and breast cancer risk was reviewed. We calculated the overall pooled risk ratios (RRs) and 95% CI with a random-effect model from the included studies. Furthermore, we performed stratified analyses by characteristics of studies. RESULTS Thirty-one studies (13 cohort studies and 18 case-control studies) were included in the analysis. The overall effect of the pooled analysis was an RR of 1.16 (95% CI 1.08-1.23). The results were 1.20 (95% CI 1.10-1.30) and 1.12 (95% CI 1.02-1.23) for cohort and case-control studies. The effect of sedentary work did not seem to be consistently attenuated by controlling body mass index, menopausal status, or experience of hormone replacement therapy. CONCLUSION The results from this meta-analysis suggest that sedentary behavior within the occupational domain was associated with a 15.5% increased risk of breast cancer. It is essential to reduce the sedentary time spent at work and to secure time for leisure-time physical activity among sedentary workers as a primary preventive measure.
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Affiliation(s)
- Jongin Lee
- Department of Occupational and Environmental MedicineSeoul St. Mary's HospitalCollege of MedicineThe Catholic University of KoreaSeoulRepublic of Korea
| | - JaeYong Lee
- Department of Occupational and Environmental MedicineSeoul St. Mary's HospitalCollege of MedicineThe Catholic University of KoreaSeoulRepublic of Korea
| | - Dong‐Wook Lee
- Department of Preventive MedicineCollege of MedicineSeoul National UniversitySeoulRepublic of Korea
| | - Hyoung‐Ryoul Kim
- Department of Occupational and Environmental MedicineSeoul St. Mary's HospitalCollege of MedicineThe Catholic University of KoreaSeoulRepublic of Korea
| | - Mo‐Yeol Kang
- Department of Occupational and Environmental MedicineSeoul St. Mary's HospitalCollege of MedicineThe Catholic University of KoreaSeoulRepublic of Korea
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