The Effect of Older Siblings on Language Development as a Function of Age Difference and Sex

The number of older siblings a child has is negatively correlated with the child’s verbal skills, perhaps because of competition for parents’ attention. In the current study, we examined the role of siblings’ sex and age gap as moderating factors, reasoning that they affect older siblings’ tendency to compensate for reduced parental attention. We hypothesized that children with an older sister have better language abilities than children with an older brother, especially when there is a large age gap between the two siblings. We reanalyzed data from the EDEN cohort ( N = 1,154) and found that children with an older sister had better language skills than those with an older brother. Contrary to predictions, results showed that the age gap between siblings was not associated with language skills and did not interact with sex. Results suggest that the negative effect of older siblings on language development may be entirely due to the role of older brothers. Our findings invite further research on the mechanisms involved in this effect.

Prosthetic treatment in the adult French population: Prevalence and relation with demographic, socioeconomic and medical characteristics

BACKGROUND

The aim of this study was to estimate the prevalence of dental prosthetic treatment and to investigate the demographic, social, economic and medical factors associated with the use of fixed and removable dentures in a representative sample of adults living in France.

METHODS

The data were obtained from the 2002-2003 Decennial Health Survey, a cross-sectional study of a representative sample of the population living in France, which included 29,679 adults. Information was collected by interview. The variables collected were fixed denture, removable denture, age, gender, number of children, area of residence, nationality, educational attainment, family social status, employment status, annual household income per capita, supplementary insurance, chronic disease, eyesight problems/glasses, hearing problems/hearing aids. Multinomial logistic regression models were used to study the relationship between prosthetic treatment and demographic, socioeconomic and medical characteristics unadjusted, adjusted for age and adjusted for all the characteristics.

RESULTS

The prevalence of prosthetic treatment was 34.6% (95% confidence interval (CI): [34.1; 35.2]) for fixed prosthetic dentures and 13.8% (95% CI: [13.4; 14.2]) for removable prosthetic dentures. We showed a gradient between educational attainment and removable dentures; the odds ratio adjusted for all the variables (aOR) associated with no or primary education compared to post-secondary education was 2.56; 95% CI: [2.09; 3.13]. When annual household income per capita was low, subjects were less likely to report fixed dentures (aOR=0.68; 95% CI: [0.62; 0.75]) than those with high annual household income per capita. Individuals without insurance less often reported fixed dentures than those with private insurance. Those reporting chronic disease were less likely to report fixed dentures (aOR=0.87; 95% CI: [0.79; 0.95]) but more likely to report removable dentures (aOR=1.29; 95% CI: [1.17; 1.43]) than those without chronic disease.

CONCLUSION

This study reveals social, economic and medical inequalities in fixed and removable prosthetic treatment among adults in France.

Impact of social and economic characteristics on orthodontic treatment among children and teenagers in France

OBJECTIVES

This study aimed to estimate the prevalence of orthodontic treatment in France among children and teenagers aged 8-18 years, by sex and by age, and to investigate the specific role of social and economic characteristics on use of orthodontic treatment.

METHODS

We analyzed data from the cross-sectional national health survey conducted in France in 2002-2003, which included a sample of 5988 children aged 8-18 years. All data were collected by interview including the question on orthodontic treatment. Other data used in our study were family social status and income, maternal educational attainment and place of birth, whether the child was covered by a supplementary health insurance and whether the residence was urban or rural. We also calculated the density of orthodontists in the district. Multivariate logistic regression analyses were used to study the relationships between these social and economic factors and orthodontic treatment.

RESULTS

The prevalence of orthodontic treatment was 14% of all children aged 8-18, 15% for girls, and 13% for boys, and 23% in the 12 to 15-year age group. Children were less likely to have orthodontic treatment when parents were service or sales workers compared with children whose parents were managers or professionals (aOR = 0.50; 95%CI: [0.34;0.76]), when family income was in the lowest, compared with highest quartile (aOR = 0,62; 95% CI: [0.45;0.85]), when children had no supplementary insurance compared with children covered by private insurance (aOR = 0.53; 95% CI: [0.34; 0.81]), or when they lived in rural compared with urban areas (aOR = 0.70; 95% CI: [0.54; 0.91]).

CONCLUSION

There are social inequalities in orthodontic treatment in France, associated mainly with social status, annual income, supplementary insurance, and the residence area.