Effectiveness of Video-Based Health Education on Breastfeeding Practices Among Infants Aged 0–6 Months in Dirashe District, South Ethiopia: A Cluster Randomized Controlled Trial

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Wanzahun Godana Boynito, Ousmane Diongue, Kidus Temesgen, Yordanos Gizachew Yeshitila, Godana Yaya Tessema, Marielle De Souza, Stefaan De Henauw, Adama Diouf, Souheila Abbeddou
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引用次数: 0

Abstract

Background: Exclusive breastfeeding (EBF) of infants during the first 6 months of their life is strongly recommended. Video-based communication is an innovative method that could promote EBF. The present study is aimed at assessing the effectiveness of video-based intervention in promoting breastfeeding practices from birth to 6 months postpartum. This was evaluated through maternal reports, as well as EBF of infants at 3 and 5 months of age, using the deuterium oxide dose-to-mother (DTM) technique.

Methods: In a cluster randomized community trial, 16 communities were assigned to receive a video-based behavior change communication (Video-Health) or standard health care messages (Control). Pregnant women in their first trimester (12 ± 2 weeks) were enrolled and followed up, together with their infants, until 6 months postpartum. Data on breastfeeding practices were collected by questionnaire, monthly, in all the participants (n = 508). Human milk intake (HMI) and nonmilk oral intake (NMOI) were measured in a subsample of 60 mother–infant pairs at 3 and 5 months postpartum using DTM. Mixed models and logistic regression were used to examine the difference in continuous and discrete breastmilk practices between the intervention and the control arms, respectively.

Results: The majority of mothers initiated breastfeeding early (92.1%), 82.4% reported colostrum feeding, and 17.5% provided prelacteal feeding. No significant differences were found between Video-Health and Control arms (p > 0.05). The intervention significantly improved reported EBF rates at 4 and 5 months postpartum (p < 0.05). DTM results showed that the proportion of women practicing EBF was 50%–67% less than reported at 3 months for both arms and at 5 months in the intervention arm. The intervention did not significantly affect measured EBF at 3 and 5 months postpartum but did improve HMI at 3 months. Non significant differences in NMOI were observed at 3 months, but at 5 months, there was a significant difference between the study arms.

Conclusions: Video-based behavior change communication did not result in significant improvements in reported breastfeeding practices, except for a higher reported adherence to EBF beyond 3 months. Additionally, the intervention had no effect on EBF as measured by the DTM. Early introduction of non-breastmilk foods and liquids persisted, despite self-reported EBF extending up to 6 months postpartum.

Trial Registration: ClinicalTrials.gov identifier: NCT04414527

Abstract Image

视频健康教育对埃塞俄比亚南部 Dirashe 地区 0-6 个月婴儿母乳喂养实践的影响:分组随机对照试验
背景:我们强烈建议在婴儿出生后的头 6 个月对其进行纯母乳喂养(EBF)。视频交流是一种可促进纯母乳喂养的创新方法。本研究旨在评估视频干预在促进婴儿出生至产后 6 个月期间母乳喂养做法的有效性。这项研究采用氧化氘剂量对母亲(DTM)技术,通过产妇报告以及婴儿 3 个月和 5 个月大时的母乳喂养情况进行评估:在分组随机社区试验中,16 个社区被分配接受基于视频的行为改变沟通(视频-健康)或标准保健信息(对照)。怀孕头三个月(12 ± 2 周)的孕妇和她们的婴儿都被纳入其中,并被随访至产后 6 个月。每月通过问卷调查收集所有参与者(508 人)的母乳喂养数据。在产后 3 个月和 5 个月时,使用 DTM 测量了 60 对母婴的母乳摄入量(HMI)和非母乳口服摄入量(NMOI)。混合模型和逻辑回归分别用于研究干预组和对照组在连续和离散母乳喂养方法上的差异:大多数母亲(92.1%)很早就开始了母乳喂养,82.4%的母亲报告了初乳喂养,17.5%的母亲提供了乳前喂养。视频健康干预组和对照组之间没有发现明显差异(p > 0.05)。干预明显提高了产后 4 个月和 5 个月的母乳喂养率(p < 0.05)。DTM 结果显示,在干预组,产后 3 个月和 5 个月时,实行母乳喂养的妇女比例均比报告的比例低 50%-67%。干预对产后 3 个月和 5 个月的 EBF 测量结果没有明显影响,但对 3 个月的 HMI 有一定改善。在 3 个月时,观察到 NMOI 没有明显差异,但在 5 个月时,研究臂之间存在明显差异:结论:基于视频的行为改变沟通并没有显著改善母乳喂养的实践,只是提高了 3 个月后母乳喂养的坚持率。此外,根据 DTM 测量,干预对母乳喂养没有影响。尽管自我报告的母乳喂养时间延长至产后6个月,但过早引入非母乳食物和液体的情况依然存在:试验注册:ClinicalTrials.gov identifier:NCT04414527
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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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