Associations between maternal age at menarche and anthropometric and metabolic parameters in the adolescent offspring

Cohort-based analysis of maternal age at menarche in relation to young adult offspring anthropometric and metabolic parameters

OBJECTIVES

Age of menarche is a determinant factor of cardiometabolic risk, adiposity and stature at adulthood. However, little is known about the transgenerational effects of age of menarche, especially beyond childhood of any offspring, and the studies remain limited to anthropometric outcomes in children at birth or before adolescence. In the present study, we aim to investigate the relationship of maternal age at menarche (MAM) with anthropometric and metabolic parameters in the young adult offspring (aged 15-35 years) in a Persian population.

DESIGN, PATIENTS AND MEASUREMENTS

In this cohort-based cross-sectional study, we recruited 1139 mother-young adult dyads enroled in Rafsanjan Cohort Study (RCS) at adult RCS (aged 35-70 years) and youth RCS (aged 15-35 years) as part of the comprehensive PERSIAN (Prospective Epidemiological Research Studies in IrAN). In this study, MAM was categorized to early (MAM < 12 years), normal (12 ≤ MAM ≤ 14) and late menarche (MAM > 14 years). For these analyses, bivariate and multiple logistic regression models were used to investigate the relationships between late or early MAM and offspring anthropometric and metabolic parameters.

RESULTS

Early MAM displayed a significant association with an increased odds ratio (OR) of tall stature adjusting for sex, age, socioeconomic status index, maternal age at birth and maternal height (as genetically determined factor). Sensitivity analysis by sex indicated this relationship to be specific to male offspring only (adjusted OR: 1.84 95% CI: 1.13-3.00, p value: .014). In addition, late MAM displayed a significant association with reduced OR of overweight/obesity and abdominal obesity in daughters only (obesity adjusted OR: 0.49, 95% CI: 0.27-0.88, p value: .018, abdominal obesity adjusted OR: 0.44, 95% CI: 0.23-0.82, p value: .010). dose-response analysis by categorization of MAM, further supported our results. On the contrary, our analyses do not support a significant relationship between MAM and youth metabolic indices, that is, metabolic syndrome, fasting blood sugar (FBS), high-density lipoprotein (HDL) and triglyceride (TG).

CONCLUSIONS

The results of the present study indicate an association of maternal age of menarche with anthropometric measures of offspring in young adulthood in a sex differential manner. The data does not support a significant relationship between the metabolic indices FBS, TG and HDL in offspring with MAM. Overall, this study provides evidence for the intergenerational effects of age at menarche in the development of anthropometric measures in offspring in young adulthood (15-35), which is the first study of this kind in this age range.

Maternal pre-pregnancy body mass index, gestational weight gain, and pubertal timing in daughters: A systematic review and meta-analysis of cohort studies

The timing of daughter's puberty onset is constantly earlier. It is still unclear about the maternal pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) as important prenatal factors that may affect offspring's onset of puberty. Thus, we evaluated the association among maternal pre-pregnancy BMI, GWG, and daughters' early pubertal development based on the existing literature. Literature review was conducted in different databases, including Web of Science, Pubmed, Wiley, ScienceDirect, Web of Science, and Chinese National Knowledge Infrastructure databases up to June 2021. We selected random effects model or fixed effects model for meta-analysis according to the I² statistics value to obtain the summary measurement. A total of 12 cohort studies were included. Compared to maternal pre-pregnancy normal weight, maternal pre-pregnancy overall overweight/obesity (RR = 1.24; 95% CI 1.17 to 1.32), obesity (RR = 1.35; 95% CI 1.23 to 1.48), and overweight (RR = 1.17; 95% CI 1.09 to 1.26) were significantly associated with the increased risk of earlier timing of pubertal onset in daughters. Daughters born of mothers with pre-pregnancy overall overweight/obesity, obesity, and overweight had earlier pubertal onset compared to those born of mothers with normal weight ([mean difference = -3.03, 95% CI: -3.97 to -2.10], [mean difference = -3.50, 95% CI: -5.38 to -1.62], and [mean difference = -2.89, 95% CI: -4.07 to -1.71], respectively). The effects were also significant in the assessed three milestones (menarche, breast development, and pubic hair development). Maternal excessive GWG increased the risk of early pubertal timing in daughters (RR = 1.19; 95% CI 1.09 to 1.30).

Identification of contributing predictors for short stature and pre-shortness among 7310 Chinese preschool-aged children

PURPOSES

We aimed to identify the contributing predictors for short stature and pre-shortness in Chinese preschool-aged children, and further to construct nomogram prediction models.

METHODS

A large cross-sectional, kindergarten-based study was conducted during September-November, 2019 in Beijing. Utilizing a stratified random sampling method, total 20 kindergartens with 7310 children with complete data were eligible for analysis.

RESULTS

The prevalence of short stature and pre-shortness was 3.0% (n = 222) and 11.6% (n = 848), respectively. Six contributing predictors were significantly associated with short stature, including parental height (odds ratio, 95% confidence interval, P: 0.773, 0.69-0.86, <0.001), maternal height (0.723, 0.64-0.82, <0.001), birthweight (0.826, 0.74-0.92, 0.001), birth height (0.831, 0.69-1.00, 0.046), children body mass index (1.204, 1.43-1.82, <0.001), and maternal age at menarche (1.614, 1.43-1.82, <0.001). Seven significant contributing predictors were found for pre-shortness, including parental height (0.805, 0.76-0.85, <0.001), maternal height (0.821, 0.77-0.87, <0.001), birthweight (0.881, 0.83-0.93, <0.001), birth height (0.86, 0.78-0.95, 0.003), gestational weight gain (0.851, 0.77-0.94, 0.002), children body mass index (1.142, 1.05-1.24, 0.002), and chronic disease (4.016, 1.66-9.70, 0.002). The nomogram models for short stature and pre-shortness had descent prediction accuracies.

CONCLUSIONS

Our findings indicate that short stature is predominantly determined by inherited and natal factors, and pre-shortness is additionally by modifiable factors.