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Background: In Germany, various preventive services are offered to children and adolescents. These include regular standardized examinations (so called U/J examinations) and several vaccinations. Although strongly recommended, most of them are not mandatory. Our aim is to identify factors associated with the use of U/J examinations and vaccination against diphtheria, hepatitis B, Hib, pertussis, polio, and tetanus. While previous research has focused on sociodemographic factors, we also include socioeconomic, behavioral, and psychosocial factors.
Methods: We analyzed cross-sectional data from 15,023 participants (aged 0-17 years) of the nationwide representative KiGGS Wave 2 Survey. Participation in U/J examinations was assessed using a questionnaire, filled out by participants and/or their parents. Information on vaccination status was drawn from the participants' vaccination booklets. To identify relevant determinants for the use of preventive examinations and vaccinations, unadjusted and adjusted logistic regression models were employed with up to 16 different independent variables.
Results: Various independent variables showed an association with the use of preventive services. Higher socioeconomic status, absence of migration background, and lower household size were associated with significantly higher utilization of U examinations. Parents' marital status, area of residence, behavioral and psychosocial factors yielded insignificant results for most U/J examinations. Higher vaccination rates were found for children with no migration background, with residence in eastern Germany, lower household size, and with married parents.
Conclusion: This study attempted to depict the influence of sociodemographic, psychosocial, and behavioral factors on the use of several preventive services. Our results indicate that predominantly sociodemographic variables influence the use of preventive services. Further efforts should be made to investigate the interplay of different determinants of healthcare use in children and adolescents.
Do families have moderating or mediating effects on early health inequalities? A scoping review
(2021)
Background
During early childhood, families have a crucial impact on children's health behaviour, health, and development (bhd). However, a family's socioeconomic position (SEP) determines both the parental behaviour, living conditions, and child health. To understand how family characteristics may influence the development of health inequalities, this scoping review synthesised research on their mediating and moderating effects.
Methods
The review followed the guidelines of the PRISMA Extension for Scoping Reviews. The search included German and English peer-reviewed articles published between January 1st, 2000 and December 19th, 2019. The search in PubMed, PsycINFO, and Scopus used both free text terms in the title/abstract and index terms within linked keyword blocks: (1) family characteristics, (2) inequalities, (3) income, education, occupation, (4) bhd, (5) newborn, infant, toddler, preschooler. Two researchers independently examined eligibility for inclusion in two rounds (title/abstract; full-text).
Results
Of 7,089 articles identified, ten sources were included that studied family characteristics and health inequalities among 0-6 years olds. Parental rules, stress, and screentime, and TV in bedroom showed mediating effects on inequalities in behaviour problems or children's screentime. Families' negativity, single parenthood, and the number of children in the household moderated differences in impairment, health, behaviour problems, development or breastfeeding initiation.
Conclusions
The effect of family characteristics on early health inequalities has been sparsely investigated. The evidence supported models of family stress and investment. Further research is needed to comprehensively understand this association.
Key messages
Family characteristics contribute to health inequalities.
Taking families’ stress and investment into account could improve targeted prevention efforts aimed at reducing health inequalities.
Background
The number of obese children is rising worldwide. Many studies have investigated single determinants of children’s body mass index (BMI), yet studies measuring determinants at different potential levels of influence are sparse. The aim of this study is to investigate the independent role of parental socioeconomic position (SEP), additional family factors at the micro level, as well as early childhood education and care (ECEC) centre characteristics at the meso level regarding BMI.
Methods
Analyses used the baseline data of the PReschool INtervention Study (PRINS) including up to 1,151 children from 53 ECEC centres. Multi-level models first estimated the associations of parental SEP indicators (parental school education, vocational training, and household income) with the children’s standard deviation scores for BMI (SDS BMI, standardised for age and gender). Second, structural (number of siblings), psychosocial (strained family relationships), and nutrition behavioural (soft-drink consumption, frequency of fast-food restaurant visits) family factors at the micro level were included. Third, characteristics of the ECEC centre at the meso level in terms of average group size, the ratio of overweight children in the group, ECEC centre type (all-day care), and the location of the ECEC centre (rural vs urban) were included. All analyses were stratified by gender and adjusted for age, migration background, and parental employment status.
Results
Estimates for boys and girls appeared to differ. In the full model, for boys the parental SEP indicators were not related to SDS BMI. Factors related to SDS BMI in boys were: two or more siblings; B = -.55; p = 0.045 [ref.: no sibling]), the characteristics of the ECEC centre in terms of average group size (20 – 25 children; B = -.54; p = 0.022 [ref.: < 20 children]), and the ratio of overweight children (more overweight children B = -1.39; p < 0.001 [ref.: few overweight children]). For girls the number of siblings (two and more siblings; B = .67; p = 0.027 [ref.: no sibling]) and average group size (> 25 children; B = -.52; p = 0.037 [ref.: < 20 children]) were related to SDS BMI.
Conclusions
The BMI of preschool children appears to be associated with determinants at the micro and meso level, however with some gender differences. The identified factors at the micro and meso level appear largely modifiable and can inform about possible interventions to reduce obesity in preschool children.