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制定父母弹性与适应综合量表(CPRA)及评估算法:描述性横断面研究。

Developing a Comprehensive Scale for Parenting Resilience and Adaptation (CPRA) and an assessment algorithm: a descriptive cross-sectional study.

机构信息

Clinical Psychology, Graduate School of Human Sciences, Osaka University, Yamadaoka, 1-2 Suita, Osaka, 565-0871, Japan.

Graduate School of Medicine, Osaka University, Yamadaoka, 1-7 Suita, Osaka, 565-0871, Japan.

出版信息

BMC Psychol. 2022 Feb 22;10(1):38. doi: 10.1186/s40359-022-00738-3.

Abstract

BACKGROUND

Adapting to child-rearing is affected by multiple factors, including environmental and individual factors. Previous studies have reported the effect of a single factor on childcare maladjustment; however, to prevent maladaptation in and to support child-rearing, a comprehensive evaluation of factors is necessary. Therefore, this study developed a comprehensive assessment tool for childcare adaptation.

METHODS

We conducted semi-structured interviews with specialists whose jobs entailed supporting parents. Items were extracted from the interview data and used to develop a new questionnaire. Mothers with a child aged 0-3 years completed the Quick Inventory of Depressive Symptomatology as a depression index. We performed both factor and correlation analyses on the collected, data and multiple regression analyses to determine which factors predict depressive tendencies leading to childcare maladaptation. Subsequently, an assessment algorithm model was built.

RESULTS

1,031 mothers responded to the questionnaire which had 118 items in five domains. A factor analysis was performed on each domain to develop the Comprehensive Scale for Parenting Resilience and Adaptation (CPRA). The CPRA comprised 21 factors and 81 items in five subcategories: Child's Temperament and Health (1 factor, 5 items); Environmental Resources (5 factors, 20 items), Perceived Support (4 factors, 15 items); Mother's Cognitive and Behavioural Characteristics (6 factors, 22 items), and Psychological Adaptation to Parenting (5 factors, 19 items). Correlations between all factors and depressive symptoms were identified. Depressive symptoms were predicted by factors from four subcategories: Environmental Resources, Perceived Support, Mother's Cognitive and Behavioural Characteristics, and Psychological Adaptation to Parenting. A comprehensive model of mothers' psychological adjustment was developed using the CPRA's domain structure.

CONCLUSIONS

The CPRA enables researchers to understand the strengths and weaknesses of mothers. Mother's maladaptive states can potentially be predicted by understanding the interactions between these multiple factors. The developed model can provide the necessary support to mothers and increase mothers'-and others'-awareness of the support that can prevent childcare maladjustment.

摘要

背景

适应育儿受到多种因素的影响,包括环境和个体因素。以前的研究报告了单一因素对育儿适应不良的影响;然而,为了防止育儿适应不良并支持育儿,有必要对因素进行全面评估。因此,本研究开发了一种全面的育儿适应评估工具。

方法

我们对从事支持父母工作的专家进行了半结构式访谈。从访谈数据中提取项目,并用于开发新的问卷。0-3 岁儿童的母亲完成了抑郁症状快速清单作为抑郁指数。我们对收集的数据进行了因子分析和相关分析,并进行了多元回归分析,以确定哪些因素预测导致育儿适应不良的抑郁倾向。随后,建立了评估算法模型。

结果

1031 名母亲对问卷做出了回应,问卷共有五个领域的 118 个项目。对每个领域进行了因子分析,以开发全面的育儿韧性和适应综合量表(CPRA)。CPRA 由 21 个因子和 81 个项目组成,分为五个亚类:儿童气质和健康(1 个因子,5 个项目);环境资源(5 个因子,20 个项目)、感知支持(4 个因子,15 个项目);母亲的认知和行为特征(6 个因子,22 个项目)和心理适应育儿(5 个因子,19 个项目)。确定了所有因子与抑郁症状之间的相关性。环境资源、感知支持、母亲的认知和行为特征以及心理适应育儿等四个亚类的因素预测了抑郁症状。使用 CPRA 的领域结构,建立了母亲心理调整的综合模型。

结论

CPRA 使研究人员能够了解母亲的优势和劣势。通过了解这些多因素之间的相互作用,可能可以预测母亲的适应不良状态。开发的模型可以为母亲提供必要的支持,并提高母亲和其他人对预防育儿适应不良所需支持的认识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83df/8862516/1a774e6c3103/40359_2022_738_Fig1_HTML.jpg

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