Pre- and postnatal maternal smoking and offspring smoking trajectories: Evidence from a 20-year birth cohort

Multigenerational inequalities of opportunity in health outcomes

This paper studies multigenerational health transmission mechanisms in Australian panel data. Using inequality-of-opportunity (IOP) models, we demonstrate that grandparental socioeconomic status (SES) is an important determinant of personal health, even after controlling for health and SES at the parental level. Our findings hold over a range of health/biomarkers of individuals' physical and mental well-being and appear to be especially sensitive to educational outcomes on the father's side. Since ingrained socioeconomic (dis)advantages that persist over multiple generations may be indicative of social class, our results suggest that subtle attitudinal and behavioural characteristics associated with this variable may be a key factor driving health disparities.

Assessing Life's Essential 8 and Adverse Childhood Experiences in Grandparent-Grandchild Co-residing Dyads

We assessed a subset of behavioral indicators from the American Heart Association Life's Essential 8 cardiovascular health (CVH) construct-diet, physical activity, sleep, and nicotine exposure-and quantified associations in scores between members of 12 grandparent-grandchild dyads (grandparents, 52-70 years old; children, 7-12 years old). We also assessed the number of adverse childhood experiences from the dyads. Using the Life's Essential 8 scoring algorithm (0-100, with 100 as optimal), we calculated averages and used Spearman's ρ correlation to quantify associations. Mean score was 67.5 (±12.4) for grandparents and 63.0 (±11.2) for grandchildren. Mean scores for the dyad members were significantly correlated ( r = 0.66, P < .05). The mean numbers of adverse childhood experiences were 7.0 and 5.8 for the grandparents and grandchildren, respectively. The results indicate that CVH in these dyads was suboptimal and interrelated. Adverse childhood experiences in this analysis surpass levels reported as high risk for poor CVH. Our findings suggest that dyadic-based interventions to improve CVH are warranted.

Intergenerational transmission of parental risky health behaviors in Chinese children: Are there socioeconomic status differences?

Background

Risky health behaviors in childhood, including smoking, alcohol consumption, and having a poor diet, are the major sources of non-communicable diseases in adulthood. This study aimed to examine how parents affect children's risky health behaviors and whether intergenerational transmission differs based on socioeconomic status (SES).

Methods

Data were extracted from the 1991-2015 China Health and Nutrition Survey (CHNS). Smoking (n = 5,946), alcohol consumption (n = 7,821), and sugar-sweetened beverages (SSBs) consumption (n = 3,537) were used as proxies for risky health behaviors in children. A binary choice model for panel data with a random-effect specification was employed to examine whether risky health behaviors can be transmitted from parents to their children. Subsequently, we conducted a seemingly unrelated estimation test (SUEST) to explore the differences in parental transmission between the different SES groups.

Results

We found strong intergenerational persistence of smoking, alcohol drinking, and SSBs drinking behaviors, except for the mothers' smoking behavior. Mothers had a greater influence on children's alcohol drinking and SSBs drinking behaviors than fathers both in urban and rural areas and in different SES groups. The intergenerational transmission of SSBs drinking behavior exhibited a decreasing trend with increasing SES for both urban and rural families. In urban areas, mothers' alcohol drinking behavior has a decreasing trend with increasing education level, occupation, and income; however, in rural areas, the influence of mothers' alcohol drinking behavior occurred in the same direction with increasing education level and occupation type. In rural areas, the influence of fathers' drinking and smoking behaviors on children appears to mostly increase with increasing SES. Meanwhile, the influence of such behaviors among urban fathers would decrease with increasing SES.

Conclusion

Parents' behaviors and SES can influence the initiation of risky health behaviors in their offspring. Thus, to promote healthy behaviors, policymakers can introduce health education programs for parents, particularly for those living in rural areas and with a low SES.