Do family characteristics contribute to a socioeconomic gradient in overweight in early childhood? - Single mediation analyses of data from German preschool children.

Children's overweight is strongly associated with family socioeconomic position (SEP) and family characteristics (FC). There is limited research on the extent to which FC account for a socioeconomic gradient in childhood overweight. This study examined whether FC explain SEP differences in the prevalence of overweight. The study used baseline data of preschool-aged children from the German 'PReschool INtervention Study'. The sample (n = 872, 48% girls) was recruited at kindergartens in Baden-Württemberg, Germany. Data included children's measured weight status and parents' reports on socioeconomic indicators (e.g., school education, vocational education, income) and FC. Variables represent main determinants of overweight (nutrition: sweets consumption in front of TV, soft drink consumption, regular breakfast, child sets table; physical activity: outdoor sports; parental role model). In single mediation analyses indirect effects of SEP on overweight were analysed (OR[95%CI]). Preschool girls and boys with low parental education had higher odds for overweight than children with high parental education. Among boys, low levels of parental education contributed to the odds of overweight via indirect effects by both factors 'sweets consumption in front of TV' (OR = 1.31[1.05-1.59]) and 'no sports' (OR = 1.14[1.01-1.38]). Among girls, FC measured did not explain SEP differences in overweight. Family nutrition and parental/family physical activity contribute to inequalities in overweight among preschool boys, but not girls. Research is needed to identify FC that explain inequalities in overweight for both.

Socioeconomic position and self-rated health among female and male adolescents: The role of familial determinants in explaining health inequalities. Results of the German KiGGS study.

OBJECTIVE: Although health inequalities in adolescence are well documented, the underlying mechanisms remain unclear. Few studies have examined the role of the family in explaining the association between the family's socioeconomic position and adolescents' self-rated health. The current study aimed to explore whether the association between socioeconomic position and self-rated health was mediated by familial determinants. METHODS: Using data from wave 2 of the"German Health Interview and Examination Survey for Children and Adolescents" (KiGGS) (1,838 female and 1,718 male 11- to 17-year-olds), linear regression analyses were conducted to decompose the total effects of income, education, occupational status, socioeconomic position index and adolescents' subjective social status on self-rated health into direct effects and indirect effects through familial determinants (family cohesion, parental well-being, parental stress, parenting styles, parental obesity, smoking and sporting activity). RESULTS: A significant total effect of all socioeconomic position indicators on self-rated health was found, except for income in male adolescents. In female adolescents, more than 70% of the total effects of each socioeconomic position indicator were explained by familial mediators, whereas no significant direct effects remained. The most important mediator was parental well-being, followed by family cohesion, parental smoking and sporting activity. In male adolescents, the associations between income, parental education, the socioeconomic position index and subjective social status were also mediated by familial determinants (family cohesion, parental smoking, obesity and living in a single-mother family). However, a significant direct effect of subjective social status remained. CONCLUSION: The analysis revealed how a family's position of socioeconomic disadvantage can lead to poorer health in adolescents through different family practices. The family appears to play an important role in explaining health inequalities, particularly in female adolescents. Reducing health inequalities in adolescence requires policy interventions (macro-level), community-based strategies (meso-level) and programs to improve parenting and family functioning (micro-level).

Moderating or mediating effects of family characteristics on socioeconomic inequalities in child health in high-income countries - a scoping review.

BACKGROUND: By explaining the development of health inequalities, eco-social theories highlight the importance of social environments that children are embedded in. The most important environment during early childhood is the family, as it profoundly influences children's health through various characteristics. These include family processes, family structure/size, and living conditions, and are closely linked to the socioeconomic position (SEP) of the family. Although it is known that the SEP contributes to health inequalities in early childhood, the effects of family characteristics on health inequalities remain unclear. The objective of this scoping review is to synthesise existing research on the mediating and moderating effects of family characteristics on socioeconomic health inequalities (HI) during early childhood in high-income countries. METHODS: This review followed the methodology of "Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews". To identify German and English scientific peer-reviewed literature published from January 1st, 2000, to December 19th, 2019, the following search term blocks were linked with the logical operator "AND": (1) family structure/size, processes, living conditions, (2) inequalities, disparities, diversities, (3) income, education, occupation, (4) health and (5) young children. The search covered the electronic databases PubMed, PsycINFO, and Scopus. RESULTS: The search yielded 7,089 records. After title/abstract and full-text screening, only ten peer-reviewed articles were included in the synthesis, which analysed the effects of family characteristics on HI in early childhood. Family processes (i.e., rules /descriptive norms, stress, parental screen time, parent-child conflicts) are identified to have mediating or moderating effects. While families' living conditions (i.e., TVs in children's bedrooms) are suggested as mediating factors, family structure/size (i.e., single parenthood, number of children in the household) appear to moderate health inequalities. CONCLUSION: Family characteristics contribute to health inequalities in early childhood. The results provide overall support of models of family stress and family investment. However, knowledge gaps remain regarding the role of family health literacy, regarding a wide range of children's health outcomes (e.g., oral health, inflammation parameters, weight, and height), and the development of health inequalities over the life course starting at birth.

Health Inequalities in Children and Adolescents: A Scoping Review of the Mediating and Moderating Effects of Family Characteristics.

This scoping review systematically mapped evidence of the mediating and moderating effects of family characteristics on health inequalities in school-aged children and adolescents (6-18 years) in countries with developed economies in Europe and North America. We conducted a systematic scoping review following the PRISMA extension for Scoping Reviews recommendations. We searched the PubMed, PsycINFO and Scopus databases. Two reviewers independently screened titles, abstracts and full texts. Evidence was synthesized narratively. Of the 12,403 records initially identified, 50 articles were included in the synthesis. The included studies were conducted in the United States (n = 27), Europe (n = 18), Canada (n = 3), or in multiple countries combined (n = 2). We found that mental health was the most frequently assessed health outcome. The included studies reported that different family characteristics mediated or moderated health inequalities. Parental mental health, parenting practices, and parent-child-relationships were most frequently examined, and were found to be important mediating or moderating factors. In addition, family conflict and distress were relevant family characteristics. Future research should integrate additional health outcomes besides mental health, and attempt to integrate the complexity of families. The family characteristics identified in this review represent potential starting points for reducing health inequalities in childhood and adolescence.

[The influence of multiple sclerosis-related symptoms on health-related quality of life]. / Der Einfluss von MS-spezifischen Symptomen auf die gesundheitsbezogene Lebensqualität.

BACKGROUND: Multiple sclerosis (MS) is a chronic disease that is associated with a variety of MS-specific symptoms. Many of these symptoms have a negative impact on health-related quality of life (HRQoL). Until now it is unclear which MS-specific symptoms have the highest impact on the HRQoL. METHODOLOGY: The study is based on the data of a member survey of the German MS Society (DMSG) in 2015 (n = 424). Considering socio-demographic variables and general medical variables, the influence of MS-specific symptoms on HRQoL was examined. The HRQoL was collected using the Multiple Sclerosis Quality of Life-54 (MSQOL-54) instrument. In a pretest, all influencing variables were tested for a significant mean difference (p = 0.05), or a mean correlation (Pearson's r ≥ 0.3). Subsequently, the influence of the variables identified in the pretest on the HRQoL was investigated by multiple linear regression analysis. RESULTS: We calculated a mean physical health composite score (PHCS) of 48.3 (sd = 17.7) and a mean mental health composite score (MHCS) of 56.0 (sd = 20.1). The most fundamental factors influencing HRQoL were the MS-specific symptoms of depression, pain and cognitive impairment. MS-related symptoms with a mobility context showed declining PHCS. Speech disorder and dizziness were associated with a decreasing MHCS. Employment status was the only socio-economic factor that significantly affected HRQoL in multiple regression. The general medical factors showed no significant influence on HRQoL. CONCLUSION: MS-specific symptoms have a major impact on the HRQoL of people with MS. Our study show that especially the so-called 'hidden symptoms' such as the symptoms of depression, pain and cognitive impairment have a significant influence on the HRQoL. Greater attention should be paid to these in the care of people with MS.