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Wang JW, Zhu Z, Shuling Z, Fan J, Jin Y, Gao ZL, Chen WD, Li X. Effectiveness of mHealth App-Based Interventions for Increasing Physical Activity and Improving Physical Fitness in Children and Adolescents: Systematic Review and Meta-Analysis. JMIR Mhealth Uhealth 2024; 12:e51478. [PMID: 38687568 PMCID: PMC11094610 DOI: 10.2196/51478] [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: 08/01/2023] [Revised: 02/11/2024] [Accepted: 03/14/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND The COVID-19 pandemic has significantly reduced physical activity (PA) levels and increased sedentary behavior (SB), which can lead to worsening physical fitness (PF). Children and adolescents may benefit from mobile health (mHealth) apps to increase PA and improve PF. However, the effectiveness of mHealth app-based interventions and potential moderators in this population are not yet fully understood. OBJECTIVE This study aims to review and analyze the effectiveness of mHealth app-based interventions in promoting PA and improving PF and identify potential moderators of the efficacy of mHealth app-based interventions in children and adolescents. METHODS We searched for randomized controlled trials (RCTs) published in the PubMed, Web of Science, EBSCO, and Cochrane Library databases until December 25, 2023, to conduct this meta-analysis. We included articles with intervention groups that investigated the effects of mHealth-based apps on PA and PF among children and adolescents. Due to high heterogeneity, a meta-analysis was conducted using a random effects model. The Cochrane Risk of Bias Assessment Tool was used to evaluate the risk of bias. Subgroup analysis and meta-regression analyses were performed to identify potential influences impacting effect sizes. RESULTS We included 28 RCTs with a total of 5643 participants. In general, the risk of bias of included studies was low. Our findings showed that mHealth app-based interventions significantly increased total PA (TPA; standardized mean difference [SMD] 0.29, 95% CI 0.13-0.45; P<.001), reduced SB (SMD -0.97, 95% CI -1.67 to -0.28; P=.006) and BMI (weighted mean difference -0.31 kg/m2, 95% CI -0.60 to -0.01 kg/m2; P=.12), and improved muscle strength (SMD 1.97, 95% CI 0.09-3.86; P=.04) and agility (SMD -0.35, 95% CI -0.61 to -0.10; P=.006). However, mHealth app-based interventions insignificantly affected moderate to vigorous PA (MVPA; SMD 0.11, 95% CI -0.04 to 0.25; P<.001), waist circumference (weighted mean difference 0.38 cm, 95% CI -1.28 to 2.04 cm; P=.65), muscular power (SMD 0.01, 95% CI -0.08 to 0.10; P=.81), cardiorespiratory fitness (SMD -0.20, 95% CI -0.45 to 0.05; P=.11), muscular endurance (SMD 0.47, 95% CI -0.08 to 1.02; P=.10), and flexibility (SMD 0.09, 95% CI -0.23 to 0.41; P=.58). Subgroup analyses and meta-regression showed that intervention duration was associated with TPA and MVPA, and age and types of intervention was associated with BMI. CONCLUSIONS Our meta-analysis suggests that mHealth app-based interventions may yield small-to-large beneficial effects on TPA, SB, BMI, agility, and muscle strength in children and adolescents. Furthermore, age and intervention duration may correlate with the higher effectiveness of mHealth app-based interventions. However, due to the limited number and quality of included studies, the aforementioned conclusions require validation through additional high-quality research. TRIAL REGISTRATION PROSPERO CRD42023426532; https://tinyurl.com/25jm4kmf.
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Affiliation(s)
- Jun-Wei Wang
- School of Sport Medicine and Health, Chengdu Sport University, Chengdu, China
- School of Sports Science, Beijing Sport University, Beijing, China
| | - Zhicheng Zhu
- Physical education institute, Xinyu University, Xinyu, China
| | - Zhang Shuling
- School of Sport Medicine and Health, Chengdu Sport University, Chengdu, China
| | - Jia Fan
- School of Sport Medicine and Health, Chengdu Sport University, Chengdu, China
| | - Yu Jin
- School of Sport Medicine and Health, Chengdu Sport University, Chengdu, China
| | - Zhan-Le Gao
- School of Sport Medicine and Health, Chengdu Sport University, Chengdu, China
| | - Wan-Di Chen
- Academic Administration, Chengdu Sport University, Chengdu, China
| | - Xue Li
- School of Sport Medicine and Health, Chengdu Sport University, Chengdu, China
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Chu SF, Wang HH. Outcome Expectations and Older Adults with Knee Osteoarthritis: Their Exercise Outcome Expectations in Relation to Perceived Health, Self-Efficacy, and Fear of Falling. Healthcare (Basel) 2022; 11:57. [PMID: 36611517 PMCID: PMC9819286 DOI: 10.3390/healthcare11010057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 12/20/2022] [Accepted: 12/22/2022] [Indexed: 12/28/2022] Open
Abstract
Outcome expectations are a determinant of exercise engagement and adherence. However, the factors that influence outcome expectations for exercise remain poorly understood for people with knee osteoarthritis. In this paper, a cross-sectional study was conducted by recruiting 211 older adults from three clinics in Southern Taiwan. This study explored older adults with knee osteoarthritis exercise outcome expectations and perceived health, self- efficacy, and fear of falling. The older adults completed the Outcome Expectations for Exercise Scale (OEES), the pain and physical function subscales of Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), the Perceived Health Status Scale, the Self-Efficacy for Exercise scale (SEE- C), the Activities-Specific Balance Confidence Scale (ABC), the Geriatric Depression Scale (GDS). Multiple logistic regression models were used to determine associations between outcome expectations for exercise and physical and psychosocial outcomes in the knee OA population. Among the participants of the cross-sectional study, the mean age was 72.04 (SD = 5.53) years, and 71.6% were female. Higher outcome expectations for exercise were associated with higher physical function (OR = 0.98; 95% CI [0.96−1.99]; p = 0.007), better perceived health (OR = 1.30; 95% CI [1.12−1.51]; p < 0.001), greater self-efficacy (OR =1.03; 95% CI [1.01−1.04]; p = 0.006), and less fear of falling (OR = 3.33; 95% CI [1.21−9.19]; p = 0.020). Thus, the results indicated that outcome expectations for exercise among the participants were significantly associated with physical function, perceived health, self-efficacy, and fear of falling. These findings suggest the importance of personal factors in the design of interventions to promote exercise behavior changes among elderly patients with Knee Osteoarthritis.
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Affiliation(s)
- Su-Feng Chu
- Department of Nursing, Meiho University, Pingtung 912009, Taiwan
- College of Nursing, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
| | - Hsiu-Hung Wang
- College of Nursing, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
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Brenton JN, Florenzo B, Koshiya H, Min S, Woolbright E, Coleman R, Chen S, Goldman M. Six-Minute Walk as a Measure of Walking Capacity and Endurance in Patients With Pediatric-Onset Multiple Sclerosis. Neurology 2022; 99:e2161-e2170. [PMID: 35985830 PMCID: PMC9651457 DOI: 10.1212/wnl.0000000000201098] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 06/27/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Despite low levels of disability, youth with pediatric-onset multiple sclerosis (POMS) engage in less physical activity compared with peers. The contribution of walking capacity, endurance, behavior, and MS comorbidities remains relatively undefined and may provide valuable insights into the limitations toward physical activity in youth with MS. The primary objective of this study was to investigate differences in walking capacity, endurance, and real-world behaviors of daily activity between youth with POMS and controls. METHODS Youth diagnosed with MS prior to 18 years and aged 21 years or younger were recruited in addition to healthy controls. Participants completed questionnaires to quantify fatigue, depression, and physical activity levels and the timed 2- and 6-minute walk (6MW) as an assessment of walking capacity and endurance. Participants completed questionnaires to quantify fatigue, depression, and physical activity levels. Participants also completed the timed 2- and 6-minute walk (6MW) as an assessment of walking capacity and endurance and were sent home with a waist-worn accelerometer to assess real-world walking behavior. RESULTS Forty-five patients with POMS and 85 control participants were enrolled. The POMS cohort had a mean age of 16.9 ± 2.7 years, with a mean disease duration of 2.8 ± 2.6 years. A greater proportion of the POMS cohort was overweight/obese compared with controls (75% vs 33%). Participants with MS walked a significantly shorter distance in 6 minutes compared with controls (1,848 feet vs 2,134 feet, p < 0.0001) and, unlike controls, were unable to accelerate to their peak speed at the end of the 6MW. Body mass index category and MS disease significantly affected 6MW performance. Using continuous accelerometry, participants with MS spent less time in moderate-to-vigorous physical activity compared with controls (20.4 vs 35.4 min/d, p = 0.0003). The POMS cohort reported significantly higher levels of depression and fatigue but self-reported similar levels of daily physical activity as controls. DISCUSSION Youth with POMS exhibit slower 6MW performance and less daily engagement in moderate-to-vigorous physical activity, suggesting limitations in functional walking capacity, endurance, and daily activity behavior. Limitations in walking endurance and capacity are most prominent in those youth who are overweight/obese and living with MS. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that, compared with healthy controls, patients with POMS walk shorter distances on the 6MW test, are less able to accelerate to peak speed at the end of the test, and are less physically active.
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Affiliation(s)
- J Nicholas Brenton
- From the Division of Pediatric Neurology (J.N.B., S.M., E.W., R.C.), Department of Neurology, and School of Medicine (B.F., H.K.), University of Virginia, Charlottesville; and Departments of Biostatistics (S.C.) and Neurology (M.G.), Virginia Commonwealth University, Richmond.
| | - Brian Florenzo
- From the Division of Pediatric Neurology (J.N.B., S.M., E.W., R.C.), Department of Neurology, and School of Medicine (B.F., H.K.), University of Virginia, Charlottesville; and Departments of Biostatistics (S.C.) and Neurology (M.G.), Virginia Commonwealth University, Richmond
| | - Hitoshi Koshiya
- From the Division of Pediatric Neurology (J.N.B., S.M., E.W., R.C.), Department of Neurology, and School of Medicine (B.F., H.K.), University of Virginia, Charlottesville; and Departments of Biostatistics (S.C.) and Neurology (M.G.), Virginia Commonwealth University, Richmond
| | - Seulgi Min
- From the Division of Pediatric Neurology (J.N.B., S.M., E.W., R.C.), Department of Neurology, and School of Medicine (B.F., H.K.), University of Virginia, Charlottesville; and Departments of Biostatistics (S.C.) and Neurology (M.G.), Virginia Commonwealth University, Richmond
| | - Emma Woolbright
- From the Division of Pediatric Neurology (J.N.B., S.M., E.W., R.C.), Department of Neurology, and School of Medicine (B.F., H.K.), University of Virginia, Charlottesville; and Departments of Biostatistics (S.C.) and Neurology (M.G.), Virginia Commonwealth University, Richmond
| | - Rachael Coleman
- From the Division of Pediatric Neurology (J.N.B., S.M., E.W., R.C.), Department of Neurology, and School of Medicine (B.F., H.K.), University of Virginia, Charlottesville; and Departments of Biostatistics (S.C.) and Neurology (M.G.), Virginia Commonwealth University, Richmond
| | - Shanshan Chen
- From the Division of Pediatric Neurology (J.N.B., S.M., E.W., R.C.), Department of Neurology, and School of Medicine (B.F., H.K.), University of Virginia, Charlottesville; and Departments of Biostatistics (S.C.) and Neurology (M.G.), Virginia Commonwealth University, Richmond
| | - Myla Goldman
- From the Division of Pediatric Neurology (J.N.B., S.M., E.W., R.C.), Department of Neurology, and School of Medicine (B.F., H.K.), University of Virginia, Charlottesville; and Departments of Biostatistics (S.C.) and Neurology (M.G.), Virginia Commonwealth University, Richmond
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Mohammadi Zeidi I, Morshedi H, Shokohi A. Predicting psychological factors affecting regular physical activity in hypertensive patients: Application of health action process approach model. Nurs Open 2021; 8:442-452. [PMID: 33318852 PMCID: PMC7729665 DOI: 10.1002/nop2.645] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 08/12/2020] [Accepted: 09/08/2020] [Indexed: 11/09/2022] Open
Abstract
Aim The aim of this study was to determine the factors affecting the behaviour of regular physical activity in patients with hypertension using the health action process approach (HAPA) model. Design This cross-sectional study was conducted on 176 hypertension patients, in Astaneh-e-Ashrafiyeh, Guilan, Iran, 2018-2019. Methods Data collection tools included demographic characteristics, medical history, the short form of International Physical Activity Questionnaire (IPAQ) and scales related to the HAPA model. The data were analysed using chi-square, independent t test, one-way ANOVA, Pearson's correlation coefficient and path analysis on AMOS, version 23.0. Results Action self-efficacy (β = 0.59), outcome expectancy (β = 0.20) and risk perception (β = 0.18) had a statistically significant effect on intention. Moreover, the path coefficient between intention (β = 0.35) and coping self-efficacy (β = 0.29) with physical activity was statistically significant. The results revealed that HAPA constructs were able to describe 45% of the variance in intention and 31% of the variance in physical activity behaviour. Conclusion The HAPA model is a useful framework for describing the factors affecting physical activity in hypertension patients.
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Affiliation(s)
- Isa Mohammadi Zeidi
- Social Determinants of Health Research CenterResearch Institute for Prevention of Non‐Communicable DiseasesQazvin University of Medical SciencesQazvinIran
| | - Hadi Morshedi
- Social Determinants of Health Research CenterResearch Institute for Prevention of Non‐Communicable DiseasesQazvin University of Medical SciencesQazvinIran
| | - Abdollah Shokohi
- Student Research CommitteeQazvin University of Medical SciencesQazvinIran
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