关键词: DHS Health knowledge ML-CFA The Philippines

Mesh : Humans Philippines Male Female Health Surveys Adult Factor Analysis, Statistical Middle Aged Health Knowledge, Attitudes, Practice COVID-19 / epidemiology Rural Population Young Adult Adolescent Urban Population Aged Demography

来  源:   DOI:10.1038/s41598-024-68819-4   PDF(Pubmed)

Abstract:
A secondary data analysis of the 2022 Philippine National Demographic and Health Survey (PNDHS) was conducted to explore the underlying structure of knowledge regarding communicable and noncommunicable diseases using multilevel confirmatory factor analysis (CFA). The PNDHS data consist of two levels: level-1 represents within-household data (household questionnaire), and level-2 represents between-household data (primary sampling unit (PSU)). Therefore, a two-level CFA and two-level variance CFA were performed. Furthermore, a multigroup analysis assessed the structural differences between males/females and urban/rural groups. In the PNDHS survey, 30,372 household interviews were completed. Knowledge levels for cancer, heart disease, diabetes, dengue fever, TB, and COVID-19 were 96.7%, 94.9%, 97.8%, 98.4%, 96.7%, and 92.8%, respectively. The two-level CFA indicated that the coefficient loadings of each item for both levels were statistically significant (Z-test, P < 0.001). Regarding two-level variance CFA, the variance at level-1 was higher than that at level-2 (13 and 6.7, respectively). The multigroup analysis revealed that the model was non-invariant (not equal) across gender and residence (likelihood ratio test; P < 0.001, P < 0.001, respectively). In conclusion, level-1 has greater effect than does level-2 because the variance in level-1 is greater than that in level-2, the knowledge of COVID-19 has the lowest loading compared to other items, and rural/urban areas and females/males exhibit different levels of health knowledge.
摘要:
对2022年菲律宾国家人口与健康调查(PNDHS)进行了二次数据分析,以使用多级验证性因子分析(CFA)探索有关传染病和非传染病的知识的潜在结构。PNDHS数据包括两个级别:1级代表家庭内数据(家庭问卷),级别2表示家庭间数据(初级抽样单位(PSU))。因此,进行了两水平CFA和两水平方差CFA.此外,一项多群体分析评估了男性/女性和城市/农村群体之间的结构差异.在国家国土安全部的调查中,完成了30372户家庭访谈。对癌症的知识水平,心脏病,糖尿病,登革热,TB,COVID-19占96.7%,94.9%,97.8%,98.4%,96.7%,92.8%,分别。两级CFA表明,两个级别的每个项目的系数载荷均具有统计学意义(Z检验,P<0.001)。关于两级方差CFA,1级的方差高于2级(分别为13和6.7).多组分析显示,该模型在性别和居住地之间是非不变的(不相等)(似然比检验;分别为P<0.001,P<0.001)。总之,一级比二级的影响更大,因为一级的差异大于二级的差异,与其他项目相比,新冠肺炎的知识负荷最低,农村/城市地区和女性/男性表现出不同的健康知识水平。
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