Baumann H, Singh B, Staiano A E, Gough C, Ahmed M, Fiedler J, Timm I, Wunsch K, Button A, Yin Z, Vasiloglou M F, Sivakumar B, Petersen J M, Dallinga J, Huong C, Schoeppe S, Kracht C L, Spring K, Maher C, Vandelanotte C
Movement-oriented Prevention and Rehabilitation, German Sport University Cologne, Cologne, North Rhine-Westphalia, Germany.
Allied Health & Human Performance Academic Unit, University of South Australia, Adelaide, SA, Australia.
Front Digit Health. 2025 Jul 21;7:1593677. doi: 10.3389/fdgth.2025.1593677. eCollection 2025.
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.
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.
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], = 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], = 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], I 59%) and behavioural disorders symptoms (2 studies, 560 participants, SMD [95%CI] = -0.71 [1.77, 0.36], = 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.
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.
identifier (CRD42024591285).
心理健康问题在青少年中极为普遍,每七个人中就有一人受其影响,占该年龄组全球疾病负担的15%。促进包括体育活动、营养和睡眠在内的健康行为,并减少久坐行为,已被证明能显著改善青少年心理健康问题的症状。然而,要在人群层面应对这一公共卫生挑战,需要可扩展的干预措施,如移动健康(mHealth)干预。然而,mHealth干预对患有情绪、行为或饮食失调的青少年实现具有临床意义的心理健康改善的有效性仍不明确。因此,本系统评价和荟萃分析评估了旨在改善体育活动(PA)、久坐行为(SB)、营养或睡眠的mHealth行为改变干预措施对青少年情绪、行为和饮食失调相关结局的有效性。
按照PRISMA指南(PROSPERO编号:CRD42024591285)进行系统评价和荟萃分析。检索了八个数据库,查找截至2024年9月发表的随机对照试验(RCT)。符合条件的研究包括临床诊断或自我报告患有情绪、行为或饮食失调的早(11 - 14岁)、中(15 - 17岁)和晚(18 - 21岁)青春期参与者,干预措施针对体育活动、久坐行为、营养或睡眠。应用了Cochrane偏倚风险2.0(ROB2)和Cochrane推荐分级评估、制定与评价工具(GRADE)。使用随机效应模型计算合并效应量,以标准化均值差(SMD)及其95%置信区间表示。
对涉及3703名参与者的九项RCT进行了情绪、行为和饮食失调方面的分析。荟萃分析显示焦虑显著降低(6项研究,2086名参与者,SMD [95% CI] = -0.19 [-0.37, -0.01],I² = 71%,针对睡眠的干预措施以及多模式干预措施(PA、SB、饮食、睡眠)和饮食失调有积极效果(3项研究,732名参与者,SMD [95% CI] = -0.23 [-0.44, -0.02],I² = 38%,饮食和饮食/PA联合干预有积极效果)。相比之下,抑郁(7项研究,1855名参与者,SMD [95% CI]为 -0.12 [-0.28, -0.04],I² = 59%)和行为障碍症状(2项研究,560名参与者,SMD [95% CI] = -0.71 [1.77, 0.36],I² = 95%)未显示出显著的合并效应。如ROB2和GRADE评估所示,试验设计的高度异质性和证据的总体确定性较低削弱了累积证据。在各项干预措施中,以更高的疗程频率、更大的强度(如更剧烈的体育活动)、更长的持续时间以及包括一些面对面咨询在内的混合交付方式为特征的试验与更大的效应量相关,但可扩展性降低。
这些发现表明,纳入健康行为改变的mHealth干预措施可能有效减轻青少年的焦虑和饮食失调症状。然而,对抑郁和行为障碍的影响适度且参差不齐,加上纳入研究数量较少、异质性较大以及证据确定性较低,凸显了需要进一步开展高质量RCT来评估长期疗效。将mHealth干预与标准临床护理相结合可能会增强青少年症状的改善。
标识符(CRD42024591285)。