Associations between parental well-being and early learning at home before and during the COVID-19 pandemic: observations from the China Family Panel Studies.

Background: COVID-19-related lockdowns and preschool closures resulted in many young children spending all their time at home. Some parents had to manage child care while working from home, and increased demands may have led them to experience considerable stress. Evidence indicates that among parents with young children, those who had pre-existing mental and physical conditions adapted less well than other parents. We considered associations between parental well-being and the home learning environment for young children. Method: We leveraged data from the nationally representative China Family Panel Studies. We analyzed longitudinal data collected before (2018) and during (2020) the pandemic. Participants were parents of 1,155 preschoolers (aged 3-5 years in 2020). Moderated mediation models were conducted. Maternal and paternal psychological well-being, depression, physical health, and physical illness in 2018 and 2020 were predictors. The frequency of marital and intergenerational conflicts in 2020 were mediators. Primary caregiver-reported engagement in home learning activities and family educational expenditure and parent-reported time spent on child care in 2020 were outcome variables. The number of COVID-19 cases in each province 3 months before the 2020 assessment was the moderator. Child, parental, and household characteristics and urbanicity were covariates. Results: Controlling for covariates, improvements in parental psychological well-being predicted more home learning activities and increases in paternal depression predicted less time spent by fathers on child care. Negative changes in maternal physical health predicted less family educational expenditure and mothers spending more time on child care. Family conflicts mediated the association between maternal physical illness in 2018 and family educational expenditure. The number of COVID-19 cases in a province (i) was positively associated with mothers spending more time on child care, (ii) moderated the association of improvements in maternal physical health and mothers spending less time on child care, and (iii) moderated the association of family conflicts and more family educational expenditure. Conclusion: The findings indicate that decreased parental psychological and physical well-being foretells reductions in monetary and non-monetary investment in early learning and care at home. Regional pandemic risk undermines maternal investment in early learning and care, especially for those with pre-existing physical conditions.

Assessment of the Importance of COVID-19 Prevention Measures and Their Applicability in the Daily Life of Pregnant Women and Mothers of Infants: Ordinal Factor Analysis and Latent Class Analysis

The COVID-19 pandemic has posed significant challenges to (expectant) mothers of infants in terms of family health protection. To meet these challenges in a health literate manner, COVID-19 protective measures must be considered important and must also be implemented appropriately in everyday life. To this end, N = 343 (expectant) mothers of infants indicated (a) how important they considered 21 COVID-19 infection prevention measures, and (b) how well they succeeded in implementing them in their daily life (20 measures). We performed data analysis using exploratory factor analysis for ordinal data and latent class analysis. One- and two-dimensional models (CFI = .960/.978;SRMR = .053/.039) proved to appropriately explain maternal importance ratings. The items on successfully applying COVID- 19 measures in daily life can be modeled by the 5 factors hygiene measures, contact with other people, public transportation, staying at home, and checking infection status (CFI = 0.977;SRMR = .036). Six latent classes can be distinguished. Despite the largest class (39%), classes are characterized by selective or general applicability problems. Classes reporting problems in the applicability of the measures rated them as generally less important (? = .582). Assessing and modelling importance and applicability of COVID-19 prevention measures allows for a psychometrically sound description of subjective perceptions and behaviors that are crucial for health literate practice in maternal daily life. © 2023 Hogrefe Verlag GmbH & Co. KG. All rights reserved.

Pandemic-related socioeconomic disruptions and adverse health outcomes: a cross-sectional study of female caregivers.

BACKGROUND: The COVID-19 pandemic and efforts to mitigate transmission resulted in sudden and widespread socioeconomic disruptions including school and child care closures, unemployment and underemployment, and housing precarity. Understanding the extent to which these disruptions may have contributed to adverse health outcomes is critical for establishing policy priorities that can mitigate further harm. METHODS: We explored the associations between pandemic-related child care, employment, and housing disruptions with depressive symptoms, self-rated health, and food security status among a sample of economically disadvantaged and racially diverse female caregivers of young children (n=464). Data were derived from the Assessing California Communities' Experiences with Safety Net Supports (ACCESS) study, which conducted survey-based interviews with California caregivers with low-income from August 2020 - May 2021. We implemented a series of multivariable Poisson regressions with robust standard errors to assess the potency of each exposure, independently and within the context of one another. RESULTS: Most caregivers experienced disruptions to child care (70%) and employment (63%); few experienced major housing disruptions (8%). Women that experienced child care and housing disruptions had greater depressive symptoms, lower self-rated health, and greater food insecurity, although the relationships for housing and depressive symptoms were modified by the timing of participants' interviews. Employment disruptions were not associated with any of the examined adverse health outcomes. CONCLUSION: In the wake of socioeconomic stressors brought about by the COVID-19 pandemic, attending to structural deficits in the child care system and increasing housing supports may be critical for protecting the health of caregivers.

Use of Item Response Models in Assessing the Health Literacy Facet Understanding Health Information for Early Childhood Allergy Prevention and Prevention of COVID-19 Infections by Pregnant Women and Mothers of Infants

Appropriate parental health literacy (HL) is essential to preventively maintain and promote child health. Understanding health information is assumed to be fundamental in HL models. We developed N = 67 items (multiple-choice format) based on information materials on early childhood allergy prevention (ECAP) and prevention of COVID-19 infections to assess the parental HL facet Understand. N = 343 pregnant women and mothers of infants completed the items in an online assessment. Using exploratory factor analysis for ordinal data (RML estimation) and item response models (1-pl and 2-pl model), we proved the psychometric homogeneity of the item pool. 57 items assess the latent dimension Understand according to the assumptions of the 1-pl model (weighted MNSQ < 1.2;separation reliability = .855). Person parameters of the latent trait Understand correlate specifically with subjective socioeconomic status (r = .27), school graduation (r = .46), allergy status (r = .11), and already infected with COVID-19 (r = .12). The calibrated item pool provides a psychometrically sound, construct-valid assessment of the HL facet Understand Health Information in the areas of ECAP and prevention of COVID-19 infections.

Assessment of the Importance of COVID-19 Prevention Measures and Their Applicability in the Daily Life of Pregnant Women and Mothers of Infants

The COVID-19 pandemic has posed significant challenges to (expectant) mothers of infants in terms of family health protection. To meet these challenges in a health literate manner, COVID-19 protective measures must be considered important and must also be implemented appropriately in everyday life. To this end, N = 343 (expectant) mothers of infants indicated (a) how important they considered 21 COVID-19 infection prevention measures, and (b) how well they succeeded in implementing them in their daily life (20 measures). We performed data analysis using exploratory factor analysis for ordinal data and latent class analysis. One- and two-dimensional models (CFI = .960 / .978;SRMR = .053 / .039) proved to appropriately explain maternal importance ratings. The items on successfully applying COVID-19 measures in daily life can be modeled by the 5 factors hygiene measures, contact with other people, public transportation, staying at home, and checking infection status (CFI = 0.977;SRMR = .036). Six latent classes can be distinguished. Despite the largest class (39 %), classes are characterized by selective or general applicability problems. Classes reporting problems in the applicability of the measures rated them as generally less important (eta = .582). Assessing and modelling importance and applicability of COVID-19 prevention measures allows for a psychometrically sound description of subjective perceptions and behaviors that are crucial for health literate practice in maternal daily life.