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Postpartum depression symptoms in survey-based research: a structural equation analysis

机译:基于调查的研究中产后抑郁症状:结构方程分析

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Abstract Background Since the last decade, postpartum depression (PPD) has been recognized as a significant public health problem, and several factors have been linked to PPD. Mothers at risk are rarely undetected and underdiagnosed. Our study aims to determine the factors leading to symptoms of depression using Structural Equation Modeling (SEM) analysis. In this research, we introduced a new framework for postpartum depression modeling for women. Methods We structured the model of this research to take into consideration the Malaysian culture in particular. A total of 387 postpartum women have completed the questionnaire. The symptoms of postpartum depression were examined using the Edinburgh Postnatal Depression Scale (EPDS), and they act as a dependent variable in this research model. Results Four hundred fifty mothers were invited to participate in this research. 86% of the total distributed questionnaire received feedback. The majority of 79.6% of respondents were having depression symptoms. The highest coefficients of factor loading analysis obtained in every latent variable indicator were income (β?=?0.77), screen time (β?=?0.83), chips (β?=?0.85), and anxiety (β?=?0.88). Lifestyle, unhealthy food, and BMI variables were directly affected by the dependent variable. Based on the output, respondents with a high level of depression symptoms tended to consume more unhealthy food and had a high level of body mass indexes (BMI). The highest significant impact on depression level among postpartum women was unhealthy food consumption. Based on our model, the findings indicated that 76% of the variances stemmed from a variety of factors: socio-demographics, lifestyle, healthy food, unhealthy food, and BMI. The strength of the exogenous and endogenous variables in this research framework is strong. Conclusion The prevalence of postpartum women with depression symptoms in this study is considerably high. It is, therefore, imperative that postpartum women seek medical help to prevent postpartum depressive symptoms from worsening.
机译:摘要背景自上年十年以来,产后抑郁症(PPD)被认为是一个重要的公共卫生问题,并且有几个因素与PPD有关。风险的母亲很少未被发现和下降。我们的研究旨在利用结构方程模型(SEM)分析来确定导致抑郁症状的因素。在这项研究中,我们为女性介绍了产后抑郁症建模的新框架。方法采用该研究的模型,特别是考虑马来西亚文化。共有387名产后妇女完成了调查问卷。使用爱丁堡产后抑郁症(EPD)检查产后抑郁症的症状,并在该研究模型中作为依赖变量。结果邀请四百五十名母亲参加这项研究。 86%的分布式问卷总额获得反馈。大多数79.6%的受访者患有抑郁症状。在每个潜在的可变指标中获得的因子加载分析的最高系数是收入(β?= 0.77),筛网时间(β?= 0.83),碎片(β?= 0.85),以及焦虑(β?=?0.88 )。生活方式,不健康的食物和BMI变量受到依赖变量的直接影响。基于产出,受访者具有高水平的抑郁症状倾向于消耗更不健康的食物,并且具有高水平的体重指数(BMI)。产后妇女抑郁水平的显着影响最高是不健康的食品消费。根据我们的模型,研究结果表明,76%的差异源于各种因素:社会人口统计,生活方式,健康食品,不健康食品和BMI。本研究框架中外源性和内源性变量的强度强劲。结论本研究中抑郁症状患有抑郁症状的产后妇女的患病率相当高。因此,妇女迫切需要寻求医疗帮助以防止产后抑郁症状恶化。

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