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Article: Using Latent Class Analyses to Examine Health Disparities among Young Children in Socially Disadvantaged Families during the COVID-19 Pandemic

TitleUsing Latent Class Analyses to Examine Health Disparities among Young Children in Socially Disadvantaged Families during the COVID-19 Pandemic
Authors
KeywordsCOVID-19
family hardship
health disparity
latent class analysis
preschooler
Issue Date2022
Citation
International Journal of Environmental Research and Public Health, 2022, v. 19, n. 13, article no. 7893 How to Cite?
AbstractRising income inequality is strongly linked to health disparities, particularly in regions where uneven distribution of wealth and income has long been a concern. Despite emerging evidence of COVID-19-related health inequalities for adults, limited evidence is available for children and their parents. This study aimed to explore subtypes of families of preschoolers living in the disadvantaged neighborhoods of Hong Kong based on patterns of family hardship and to compare their patterns of parenting behavior, lifestyle practices, and wellbeing during the COVID-19 pandemic. Data were collected from 1338 preschoolers and their parents during March to June 2020. Latent class analysis was performed based on 11 socioeconomic and disease indicators. Multivariate logistic regressions were used to examine associations between identified classes and variables of interest during the COVID-19 pandemic. Four classes of family hardship were identified. Class 1 (45.7%) had the lowest disease and financial burden. Class 2 (14.0%) had the highest financial burden. Class 3 (5.9%) had the highest disease burden. Class 4 (34.5%) had low family income but did not receive government welfare assistance. Class 1 (low hardship) had lower risks of child maltreatment and adjustment problems than Class 2 (poverty) and Class 3 (poor health). However, children in Class 1 (low hardship) had higher odds of suffering psychological aggression and poorer physical wellbeing than those in Class 4 (low income), even after adjusting for child age and gender. The findings emphasize the need to adopt flexible intervention strategies in the time of large disease outbreak to address diverse problems and concerns among socially disadvantaged families.
Persistent Identifierhttp://hdl.handle.net/10722/336328
ISSN
2019 Impact Factor: 2.849
2023 SCImago Journal Rankings: 0.808
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWong, Rosa S.-
dc.contributor.authorTung, Keith T.S.-
dc.contributor.authorRao, Nirmala-
dc.contributor.authorChan, Ko Ling-
dc.contributor.authorFu, King Wa-
dc.contributor.authorYam, Jason C.-
dc.contributor.authorTso, Winnie W.Y.-
dc.contributor.authorWong, Wilfred H.S.-
dc.contributor.authorLum, Terry Y.S.-
dc.contributor.authorWong, Ian C.K.-
dc.contributor.authorIp, Patrick-
dc.date.accessioned2024-01-15T08:25:38Z-
dc.date.available2024-01-15T08:25:38Z-
dc.date.issued2022-
dc.identifier.citationInternational Journal of Environmental Research and Public Health, 2022, v. 19, n. 13, article no. 7893-
dc.identifier.issn1661-7827-
dc.identifier.urihttp://hdl.handle.net/10722/336328-
dc.description.abstractRising income inequality is strongly linked to health disparities, particularly in regions where uneven distribution of wealth and income has long been a concern. Despite emerging evidence of COVID-19-related health inequalities for adults, limited evidence is available for children and their parents. This study aimed to explore subtypes of families of preschoolers living in the disadvantaged neighborhoods of Hong Kong based on patterns of family hardship and to compare their patterns of parenting behavior, lifestyle practices, and wellbeing during the COVID-19 pandemic. Data were collected from 1338 preschoolers and their parents during March to June 2020. Latent class analysis was performed based on 11 socioeconomic and disease indicators. Multivariate logistic regressions were used to examine associations between identified classes and variables of interest during the COVID-19 pandemic. Four classes of family hardship were identified. Class 1 (45.7%) had the lowest disease and financial burden. Class 2 (14.0%) had the highest financial burden. Class 3 (5.9%) had the highest disease burden. Class 4 (34.5%) had low family income but did not receive government welfare assistance. Class 1 (low hardship) had lower risks of child maltreatment and adjustment problems than Class 2 (poverty) and Class 3 (poor health). However, children in Class 1 (low hardship) had higher odds of suffering psychological aggression and poorer physical wellbeing than those in Class 4 (low income), even after adjusting for child age and gender. The findings emphasize the need to adopt flexible intervention strategies in the time of large disease outbreak to address diverse problems and concerns among socially disadvantaged families.-
dc.languageeng-
dc.relation.ispartofInternational Journal of Environmental Research and Public Health-
dc.subjectCOVID-19-
dc.subjectfamily hardship-
dc.subjecthealth disparity-
dc.subjectlatent class analysis-
dc.subjectpreschooler-
dc.titleUsing Latent Class Analyses to Examine Health Disparities among Young Children in Socially Disadvantaged Families during the COVID-19 Pandemic-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.3390/ijerph19137893-
dc.identifier.pmid35805550-
dc.identifier.scopuseid_2-s2.0-85132811548-
dc.identifier.volume19-
dc.identifier.issue13-
dc.identifier.spagearticle no. 7893-
dc.identifier.epagearticle no. 7893-
dc.identifier.eissn1660-4601-
dc.identifier.isiWOS:000823879500001-

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