可穿戴技術(shù)對(duì)超重和肥胖成年人的生活方式干預(yù):系統(tǒng)評(píng)價(jià)和Meta回歸
Background
Globally, overweight and obesity are becoming a growing concern, and wearable technology combined with lifestyle intervention may offer an innovative solution.
Objective
This review aimed to (1) assess the effectiveness of lifestyle interventions delivered by wearable technology in improving weight loss and physical activity among overweight or obese adults and (2) explore the effects of covariates on intervention outcomes.
Design
Systematic review, meta-analysis and meta-regression.
Methods
The criteria for inclusion in the review were that the trial must be a lifestyle modification intervention that utilised wearable technology and had a randomised control design and obese or overweight participants aged 18–64 years. Ten electronic databases were searched from inception to 8 December 2020. The Cochrane Risk of Bias Tool version 1 and Grading of Recommendations, Assessment, Development and Evaluations were adopted to rate risk of bias of individual trials and certainty of evidence, respectively. Stata 16 software was used to conduct the meta-analysis, subgroup analysis and meta-regression analysis.
Results
Thirty trials comprising 5,391 adults from 11 countries were included. Meta-analyses found significant changes in weight (?1.08 kg, 95% confidence interval, CI: ?1.88, ?0.28), body mass index (?0.36 kg/m2, 95% CI: ?0.62, ?0.09), waist circumference (?1.12 cm, 95% CI: ?2.08, ?0.16), steps per day (1,243.51 steps, 95% CI: 111.51, 2375.51), steps per day change (456.18 steps, 95% CI: 40.61, 871.76), systolic pressure (?2.57 mmHg, 95% CI: ?4.57, ?0.56) and diastolic pressure (?2.10 mmHg, 95% CI: ?3.43, ?0.77). Significant differences were found between subgroups regarding region (Q?=?7.35, p?=?0.01), lifestyle component (Q?=?8.51, p?=?0.01) and registration protocol (Q?=?20.24, p < 0.01). The multivariable meta-regression model suggested that year of publication (adjusted β?=?0.20, 95% CI: 0.07, 0.34, p?=?0.003), mean age (adjusted β?=??0.94, 95% CI: ?0.14, 0.04, p < 0.001) and duration (adjusted β?=?0.17, 95% CI: 0.09, 0.25, p < 0.001) had significant effects on the mean difference of weight change.
Discussion
The majority of the certainty of evidence was graded moderate to high, which suggests that interventions utilising wearable technology may improve body mass index, waist circumference and physical activity of participants. These findings may aid in the development of future health interventions. However, the current review was limited to self-selected samples and trials conducted in English.
摘要翻譯(僅供參考)
背景
在全球范圍內(nèi),超重和肥胖日益受到關(guān)注,可穿戴技術(shù)與生活方式干預(yù)相結(jié)合可能會(huì)提供一種創(chuàng)新的解決方案。
客觀的
本綜述旨在 (1) 評(píng)估可穿戴技術(shù)提供的生活方式干預(yù)在改善超重或肥胖成年人體重減輕和身體活動(dòng)方面的有效性,以及 (2) 探討協(xié)變量對(duì)干預(yù)結(jié)果的影響。
設(shè)計(jì)
系統(tǒng)評(píng)價(jià)、薈萃分析和薈萃回歸。
方法
納入審查的標(biāo)準(zhǔn)是該試驗(yàn)必須是改變生活方式的干預(yù)措施,使用可穿戴技術(shù)并具有隨機(jī)對(duì)照設(shè)計(jì),參與者年齡在 18-64 歲之間。從開始到 2020 年 12 月 8 日,檢索了 10 個(gè)電子數(shù)據(jù)庫(kù)。分別采用 Cochrane 偏倚風(fēng)險(xiǎn)工具第 1 版和推薦、評(píng)估、制定和評(píng)價(jià)分級(jí)來評(píng)估個(gè)別試驗(yàn)的偏倚風(fēng)險(xiǎn)和證據(jù)的確定性。采用Stata 16軟件進(jìn)行meta分析、亞組分析和meta回歸分析。
結(jié)果
包括來自 11 個(gè)國(guó)家的 5,391 名成年人的 30 項(xiàng)試驗(yàn)。薈萃分析發(fā)現(xiàn),在重量變化顯著(-1.08千克,95%置信區(qū)間,CI:-1.88,-0.28)身體質(zhì)量指數(shù),(-0.36千克/米2,95%CI:-0.62,-0.09),腰周長(zhǎng) (-1.12 cm, 95% CI: -2.08, -0.16), 每天步數(shù) (1,243.51, 95% CI: 111.51, 2375.51), 每天步數(shù)變化 (456.18, 95% CI: 40.61, 871.收縮壓(-2.57 mmHg,95% CI:-4.57,-0.56)和舒張壓(-2.10 mmHg,95% CI:-3.43,-0.77)。在區(qū)域(Q = 7.35,p ?= 0.01)、生活方式成分(Q = 8.51,p ?= 0.01)和注冊(cè)協(xié)議(Q = 20.24,p< 0.01)。多變量元回歸模型表明出版年份(調(diào)整后β ?= 0.20,95% CI:0.07、0.34,p ?= 0.003)、平均年齡(調(diào)整后β ?= -0.94、95% CI:-0.14、0.04,p < 0.001)和持續(xù)時(shí)間(調(diào)整后的β ?= 0.17, 95% CI: 0.09, 0.25, p < 0.001)對(duì)體重變化的平均差異有顯著影響。
討論
大多數(shù)確定性證據(jù)的等級(jí)為中到高,這表明利用可穿戴技術(shù)的干預(yù)措施可以改善參與者的體重指數(shù)、腰圍和身體活動(dòng)。這些發(fā)現(xiàn)可能有助于開發(fā)未來的健康干預(yù)措施。然而,目前的審查僅限于自選樣本和以英語進(jìn)行的試驗(yàn)。
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網(wǎng)址: 可穿戴技術(shù)對(duì)超重和肥胖成年人的生活方式干預(yù):系統(tǒng)評(píng)價(jià)和Meta回歸 http://m.u1s5d6.cn/newsview1804716.html
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