Effectiveness of mHealth interventions targeting physical activity, sedentary behaviour, sleep or nutrition on emotional, behavioural and eating disorders in adolescents: a systematic review and meta-analysis.

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES
Frontiers in digital health Pub Date : 2025-07-21 eCollection Date: 2025-01-01 DOI:10.3389/fdgth.2025.1593677
H Baumann, B Singh, A E Staiano, C Gough, M Ahmed, J Fiedler, I Timm, K Wunsch, A Button, Z Yin, M F Vasiloglou, B Sivakumar, J M Petersen, J Dallinga, C Huong, S Schoeppe, C L Kracht, K Spring, C Maher, C Vandelanotte
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引用次数: 0

Abstract

Introduction: Mental health conditions are highly prevalent among adolescents, affecting one in seven individuals and accounting for 15% of the global disease burden in this age group. The promotion of health behaviours including physical activity, nutrition, and sleep, and reduction of sedentary behaviour, has been shown to significantly improve symptoms of mental health conditions in adolescents. However, addressing this public health challenge at a population level requires scalable interventions, such as mobile health (mHealth) interventions. However, the effectiveness of mHealth interventions in achieving clinically meaningful mental health improvements for adolescents with emotional, behavioural, or eating disorders remains unclear. Therefore, this systematic review and meta-analysis evaluated the effectiveness of mHealth behaviour change interventions aimed at improving physical activity (PA), sedentary behaviour (SB), nutrition, or sleep on outcomes related to emotional, behavioural, and eating disorders in adolescents.

Methods: A systematic review and meta-analysis were conducted in accordance with PRISMA guidelines (PROSPERO ID: CRD42024591285). Eight databases were searched for randomized controlled trials (RCTs) published up to September 2024. Eligible studies included participants in early (11-14 years), middle (15-17 years) and late (18-21 years) adolescence with clinical diagnosis or self-report of emotional, behavioural, or eating disorders, where interventions targeted physical activity, sedentary behaviour, nutrition, or sleep. The cochrane risk of bias 2.0 (ROB2) and cochrane grading of recommendations assessment, development and evaluation tool (GRADE) were applied. Pooled effect sizes were calculated as standardized mean differences (SMD) with 95% confidence intervals using random-effect models.

Results: Nine RCTs involving 3,703 participants were analysed across emotional, behavioural, and eating disorders. The meta-analysis yielded a significant reduction in anxiety (6 Studies, 2086 participants, SMD [95% CI] = -0.19 [-0.37, -0.01], I 2 = 71%, with positive effects for sleep focussed interventions as well as multimodal interventions (PA, SB, diet, sleep) and eating disorders (3 studies, 732 participants, SMD [95% CI] = -0.23 [-0.44, -0.02], I 2 = 38%, with positive effects for diet and combined diet/PA interventions). In contrast, depressive (7 Studies, 1855 participants, SMD [95%CI] of -0.12 [-0.28, -0.04], I2 59%) and behavioural disorders symptoms (2 studies, 560 participants, SMD [95%CI] = -0.71 [1.77, 0.36], I 2 = 95) showed no significant pooled effect. The cumulative evidence was weakened by high heterogeneity of trial design and low overall certainty of evidence as indicated by ROB2 and GRADE assessments. Across interventions, trials characterized by higher session frequency, greater intensity (e.g., more vigorous physical activity), longer duration, and hybrid delivery methods, including some face-to-face counselling were associated with larger effect sizes but reduced scalability.

Discussion: These findings suggest that mHealth interventions incorporating health behavior modifications may effectively reduce anxiety and eating disorder symptoms in adolescents. However, modest and mixed effects on depression and behavioural disorders, together with a low number of included studies, considerable heterogeneity and low certainty of evidence, underscore the need for further high-quality RCTs to evaluate long-term efficacy. Combining mHealth interventions with standard clinical care may enhance symptom improvements in adolescents.

Systematic review registration: identifier (CRD42024591285).

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针对身体活动、久坐行为、睡眠或营养的移动健康干预措施对青少年情绪、行为和饮食失调的有效性:系统回顾和荟萃分析。
精神卫生状况在青少年中非常普遍,影响七分之一的人,占该年龄组全球疾病负担的15%。促进健康行为,包括身体活动、营养和睡眠,以及减少久坐行为,已被证明可显著改善青少年的心理健康状况症状。然而,在人口层面应对这一公共卫生挑战需要可扩展的干预措施,例如移动卫生(mHealth)干预措施。然而,移动健康干预措施在改善患有情绪、行为或饮食失调的青少年心理健康方面的有效性仍不清楚。因此,本系统综述和荟萃分析评估了旨在改善青少年身体活动(PA)、久坐行为(SB)、营养或睡眠的移动健康行为改变干预措施对情绪、行为和饮食失调相关结果的有效性。方法:根据PRISMA指南(PROSPERO ID: CRD42024591285)进行系统评价和荟萃分析。在8个数据库中检索截至2024年9月发表的随机对照试验(rct)。符合条件的研究包括早期(11-14岁)、中期(15-17岁)和晚期(18-21岁)青春期的参与者,他们有临床诊断或自我报告的情绪、行为或饮食失调,其中干预针对的是身体活动、久坐行为、营养或睡眠。采用cochrane risk of bias 2.0 (ROB2)和cochrane grading of recommendations assessment, development and evaluation tool (GRADE)。采用随机效应模型,以95%置信区间的标准化平均差(SMD)计算合并效应量。结果:9项随机对照试验涉及3703名参与者,分析了情绪、行为和饮食失调。荟萃分析显示,焦虑显著减少(6项研究,2086名参与者,SMD [95% CI] = -0.19 [-0.37, -0.01], i2 = 71%,对睡眠干预以及多模式干预(PA, SB,饮食,睡眠)和饮食失调(3项研究,732名参与者,SMD [95% CI] = -0.23 [-0.44, -0.02], i2 = 38%,对饮食和饮食/PA联合干预有积极影响)。相比之下,抑郁症(7项研究,1855名受试者,SMD [95%CI]为-0.12 [-0.28,-0.04],I2 59%)和行为障碍症状(2项研究,560名受试者,SMD [95%CI] = -0.71 [1.77, 0.36], I2 = 95)没有显示出显著的综合效应。试验设计的高度异质性和ROB2和GRADE评估显示的低总体证据确定性削弱了累积证据。在干预措施中,以更高的会话频率、更大的强度(例如,更剧烈的身体活动)、更长的持续时间和混合交付方法(包括一些面对面咨询)为特征的试验与更大的效应量相关,但可扩展性降低。讨论:这些发现表明,结合健康行为改变的移动健康干预可以有效地减少青少年的焦虑和饮食失调症状。然而,对抑郁症和行为障碍的疗效适中且混合,加上纳入的研究数量少,异质性大,证据的确定性低,强调需要进一步的高质量随机对照试验来评估长期疗效。将移动健康干预与标准临床护理相结合,可能会促进青少年症状的改善。系统评价注册:标识符(CRD42024591285)。
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