Path Model Validation of Breastfeeding Intention Among Pregnant Women

母乳喂养 社会心理的 路径分析(统计学) 心理干预 计划行为理论 自我效能感 健康信念模型 结构方程建模 心理学 促进母乳喂养 医学 描述性统计 健康促进 社会心理学 护理部 公共卫生 计算机科学 统计 儿科 控制(管理) 数学 机器学习 精神科 人工智能
作者
Na’ Tasha Evans,Yu-Lin Hsu,Jiunn-Jye Sheu
出处
期刊:Journal of Obstetric, Gynecologic, & Neonatal Nursing [Elsevier]
卷期号:50 (2): 167-180 被引量:8
标识
DOI:10.1016/j.jogn.2020.10.007
摘要

Abstract

Objective

To validate a blended health belief model and integrated behavioral model of selected modifiable psychosocial constructs during pregnancy to seek the best-fit path model for breastfeeding intention.

Design

A nonexperimental, cross-sectional study.

Setting

A virtual online market research sample aggregator.

Participants

Women (N = 300) between 18 and 45 years of age in their second or third trimesters of pregnancy participated in the study in February 2018.

Methods

Based on the health belief model and the integrated behavioral model, we proposed a theoretical framework, including self-efficacy for breastfeeding, knowledge, perceived benefits, perceived barriers, attitude toward breastfeeding, patient–provider interaction, and motivation to breastfeed, to predict breastfeeding intention. We administered a 98-item questionnaire modified from preexisting instruments. We conducted descriptive, bivariate, and regression analyses to help with the formation of the path model.

Results

The best-fit path model with all significant paths and effect directions showed that intention to breastfeed is directly influenced by motivation to breastfeed, attitudes toward breastfeeding, and self-efficacy for breastfeeding, which together accounted for 56% (R2) of the variance in intention. We also identified indirect effects from knowledge about breastfeeding, patient–provider interaction, perceived benefits, and perceived barriers and their interrelationships with effect directions.

Conclusion

Through our findings, we contribute to the emerging body of evidence that shows the significant variables and their effect directions for breastfeeding intention. Incorporating these findings may provide support and evidence for clinical and community interventions focusing on modifiable psychosocial constructs during pregnancy to promote breastfeeding and further investigations using health behavior theories.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
李爱国应助科研通管家采纳,获得10
刚刚
李爱国应助科研通管家采纳,获得10
刚刚
干净的琦应助科研通管家采纳,获得30
刚刚
刚刚
刚刚
在水一方应助科研通管家采纳,获得10
刚刚
刚刚
刚刚
1秒前
2秒前
J_B_Zhao应助沉默的小天鹅采纳,获得10
2秒前
2秒前
2秒前
3秒前
3秒前
3秒前
斯文败类应助淡然的行云采纳,获得10
4秒前
hh完成签到,获得积分20
4秒前
酱鱼发布了新的文献求助10
5秒前
张张完成签到 ,获得积分20
6秒前
生动不平完成签到,获得积分10
6秒前
6秒前
Andrewlabeth发布了新的文献求助10
7秒前
可乐发布了新的文献求助10
7秒前
7秒前
练习者发布了新的文献求助10
8秒前
Yasong发布了新的文献求助10
9秒前
FashionBoy应助LEOhard采纳,获得10
10秒前
土豆烧牛腩完成签到,获得积分20
10秒前
生动不平发布了新的文献求助10
11秒前
11秒前
up325完成签到,获得积分10
11秒前
标致电源发布了新的文献求助10
13秒前
vm光荣完成签到 ,获得积分20
13秒前
JamesPei应助害羞便当采纳,获得10
13秒前
卢雅妮完成签到 ,获得积分10
13秒前
13秒前
13秒前
清河剑客完成签到,获得积分10
15秒前
Xiaominnna发布了新的文献求助10
15秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6491926
求助须知:如何正确求助?哪些是违规求助? 8289746
关于积分的说明 17689014
捐赠科研通 5583392
什么是DOI,文献DOI怎么找? 2915174
邀请新用户注册赠送积分活动 1892323
关于科研通互助平台的介绍 1750204