Age at menarche relates to depression in adolescent girls: Comparing a clinical sample to the general pediatric population

The association between age at menarche and depression: a cross-sectional analysis of the TABARI cohort at enrollment phase

BACKGROUND

Puberty, particularly menarche, involves hormonal changes that may influence depressive symptoms. However, research on the association between age at menarche (AAM) and depression yields contradictory results, possibly due to sample differences and differences in socioeconomic status, parenting style, and cultural factors within each studied population. Thus, this study aimed to investigate the association between AAM and depression in a large cohort of the Northern Iranian population.

METHODS

This cross-sectional study comprised 6103 female adults aged between 35 and 70 years from the Tabari cohort study. The association between depression and three different AAM subgroups (≤ 11 as early menarche, 12-13 as normal menarche, and ≥ 14 as late menarche) was compared using logestic regression models after adjusted sociodemographic factors.

RESULTS

The crude model showed that females with early AAM and normal AAM had higher odds of depression (OR: 1.27, 95% CI: 0.96-1.69, P = 0.09, and OR: 1.21, 95% CI: 1.03-1.43, P = 0.024, respectively) compared to the late AAM group (P for trend = 0.042). However, in the fully adjusted model, there were no significant associations (OR: 0.97, 95% CI: 0.73-1.29, P = 0.827 for early versus late AAM, and OR: 0.98, 95% CI: 0.82-1.17, P = 0.830 for normative versus late AAM).

CONCLUSION

Our results indicated that, while no significant relationship was observed between different AAM subgroups and depression in the multivariable model, there was a notable trend suggesting an improvement in depression with later AAM.

The association between age at menarche (AAM) and cardiovascular disease (CVD) risk factors in the MASHAD cohort study

Age at menarche may be associated with cardiovascular disease risk factors in different ethnic groups. The purpose of this study was to identify the association of cardiovascular disease (CVD) risk factors with age at menarche (AAM) in Mashhad, the second biggest city in Iran. This was a cross- sectional study based on cohort data of 2353 women (35-65 years) from Mashhad, Iran for whom the age at menarche was reported. Baseline demographic, anthropometric data, and biochemical profiles were also collected. The levels of depression and anxiety were evaluated using a validated Persian version of the Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI). Multiple logistic regression models were used to examine the association between age at menarche with CVD risk factors. Anthropometric parameters, short stature, prevalence of diabetes, and CVD risk were significantly higher in women who were younger at menarche (AAM) in comparison to women with an older AAM. Women with a menstruating age of 11 years had a significantly higher weight (P < 0.001), higher BMI (P < 0.001), lower waist circumference (WC) (P = 0.004), higher hip circumference (HC) (P < 0.001) and higher waist-to-thigh ratio (WTR) (P < 0.001) than women with an AAM of ≥ 15 years. University-educated women and employed women were most likely to have menarche at ≥ 15 years (P < 0.001 and P = 0.012 respectively. In girls who menstruated at age ≤ 11 years old, the odds of having a BMI > 28.7 kg/m2, WC > 96 cm, HC > 105 cm and WTR > 61.96 were higher than girls who menstruated at 13 years old. The odds of height > 155 cm was higher in girls with menarche age of ≥ 15 than 13 years and the odds of having depression scores greater than 12 was lower in menarche age group of ≥ 15 years. The girls with menstruation age of 12 years had higher odds of having diabetes mellitus and HC > 105 cm than girls with menstruation age of 13 years. The odds of demi span exceeded 74 cm and height > 155 cm were higher in girls with menarche age of 14 than 13 years. AAM may be a useful factor to identify women at greater risk of CVD to implement appropriate preventive measures.

Causal relationship between Women's reproductive traits and postpartum depression: a multivariate mendelian randomization analysis

Purpose

The relationship between women's reproductive traits and postpartum depression (PPD) has not been clarified. We reveal the association between genetically predicted modifiable women's reproductive traits and PPD using two-sample Mendelian randomization (MR).

Methods

We used genome-wide association studies (GWASs) to obtain instrumental variables (IVs) of 9 women's reproductive traits. Univariate and multivariate MR analyses were used to examine the association between traits and the risk of PPD (13,657 cases and 236,178 controls). The primary causal effect assessment employed the IVW method. Heterogeneity was assessed using Cochran's Q test. Multiple horizontal effects were assessed using the MR-PRESSO and MR-Egger intercept. Leave-one-out and LASSO regression analyses were used to check the robustness of the UVMR and MVMR results, respectively.

Results

In the UVMR result, genetic prediction showed that age at first sexual intercourse (AFS) (OR = 0.474, 95% CI 0.396-0.567; p = 4.6 × 10-16), age at first birth (AFB) (OR = 0.865, 95% CI 0.805-0.930; p = 8.02 × 10-5), and age at last live birth (ALLB) (OR = 0.296, 95% CI 0.138-0.636; p = 0.002) were significantly inversely associated with PPD, while a higher lifetime number of sexual partners (LNSP) (OR = 1.431, 95% CI 1.009-2.031; p = 0.045) and a greater number of spontaneous miscarriages (OR = 1.519, 95% CI 1.021-2.262; p = 0.039) are suggested to be associated with an increased risk of PPD. In the MVMR result, only AFB (OR = 0.804, 95% CI 0.661-0.978; p = 0.029) retained a direct causative relationship with PPD.

Conclusion

The study indicates that AFB is a significant risk factor for PPD. Furthermore, the likelihood of developing PPD appears to decrease with increasing gestational age at the time of the first childbirth.

No relationship between male pubertal timing and depression - new insights from epidemiology and Mendelian randomization

BACKGROUND

In males, the relationship between pubertal timing and depression is understudied and less consistent than in females, likely for reasons of unmeasured confounding. To clarify this relationship, a combined epidemiological and genetic approach was chosen to exploit the methodological advantages of both approaches.

METHODS

Data from 2026 males from a nationwide, representative study were used to investigate the non-/linear relationship between pubertal timing defined by the age at voice break and depression, considering a multitude of potential confounders and their interactions with pubertal timing. This analysis was complemented by Mendelian randomization (MR), which is robust to inferential problems inherent to epidemiological studies. We used 71 single nucleotide polymorphisms related to pubertal timing in males as instrumental variable to clarify its causal relationship with depression based on data from 807 553 individuals (246 363 cases and 561 190 controls) by univariable and multivariable MR, including BMI as pleiotropic phenotype.

RESULTS

Univariable MR indicated a causal effect of pubertal timing on depression risk (inverse-variance weighted: OR 0.93, 95%-CI [0.87-0.99)], p = 0.03). However, this was not confirmed by multivariable MR (inverse-variance weighted: OR 0.95, 95%-CI [0.88-1.02)], p = 0.13), consistent with the epidemiological approach (OR 1.01, 95%-CI [0.81-1.26], p = 0.93). Instead, the multivariable MR study indicated a causal relationship of BMI with depression by two of three methods.

CONCLUSIONS

Pubertal timing is not related to MDD risk in males.

Association between BMI and age at menarche or spermarche among both sexes: Findings from six successive national surveys in China

Background

To explore trends of the association between body mass index (BMI) and age at menarche or spermarche and its urban-rural disparities from 1995 to 2019.

Methods

A total of 912 753 children and adolescents - including 519 940 9-18 years old girls and 392 813 11-18 years old boys - were involved in six successive cross-sectional surveys conducted across 30 provinces in China from 1995 to 2019. Data on menarche and spermarche was collected using the status quo method, where same-gender physicians conducted face-to-face interviews to determine if children and adolescents had experienced their first menstrual cycle or ejaculation (yes/no). The median age at menarche or spermarche was estimated by probit analysis. Anthropometric measurements measured the height and weight of the study subjects. Children and adolescents were classified into thinness, normal range of weight, overweight, and obesity. t test was used to compare the differences in BMI between premenarchal and postmenarchal girls or prespermarcheal and postspermarcheal boys. Logistic regression was used to explore the associations between BMI/nutritional status and menarche or spermarche stratified by urban or rural residency status.

Results

From 1995 to 2019, BMI in all age groups growth over time, and the values of BMI among children and adolescents under 15 who had menarche or spermarche were more significant than those without menarche or spermarche. In 2019, for girls, thinness was associated with delayed menarche (odds ratio (OR) = 0.26; 95% confidence interval (CI) = 0.24-0.28), while overweight (OR = 1.99; 95% CI = 1.85-2.14) and obesity (OR = 2.20; 95% CI = 1.92-2.53) was associated with advanced menarche. For boys, thinness was associated with delayed spermarche (OR = 0.71; 95% CI = 0.65-0.78), overweight was associated with advanced spermarche (OR = 1.08; 95% CI = 1.01-1.15) while obesity had no association with spermarche. The OR between BMI and menarche in 1995 was 1.35 (95% CI = 1.33-1.37), which decreased to 1.19 (95% CI = 1.18-1.20) by 2019. The OR between BMI and spermarche in 1995 was 1.10 (95% CI = 1.09-1.11), which decreased to 1.02 (95% CI = 1.02-1.03) by 2019. The trends by urban-rural stratification were consistent with the total sample.

Conclusions

We have established a dose-response relationship between BMI and menarche in girls, whereas the association appears to be nonlinear in boys, and the associations were diminishing. Similar findings were observed in both urban and rural areas. Considering the dual adverse effects of obesity and early puberty on health, the results of this study suggest that sexual health education should be strengthened, especially among obese girls. Further research on the influencing factors and biological mechanisms of early puberty will be beneficial.

Neuroendocrine mechanisms in the links between early life stress, affect, and youth substance use: A conceptual model for the study of sex and gender differences

Early life stress (ELS) is defined as an acute or chronic stressor that negatively impacts a child's development. ELS is associated with substance use and mental health problems. This narrative literature review focuses on sex and gender differences in the effects of ELS on 1) adolescent neuroendocrine development; 2) pubertal brain maturation; and 3) development of internalizing symptoms and subsequent substance use. We posit that ELS may generate larger hormonal dysregulation in females than males during puberty, increasing internalizing symptoms and substance use. Future research should consider sex and gender differences in neuroendocrine developmental processes when studying the link between ELS and negative health outcomes.

Cognitive development from infancy to young adulthood in common marmosets (Callithrix jacchus): Effect of age, sex, and hormones on learning and affective state

Studies looking at individual variability in cognition have increased in recent years. We followed 43 marmosets (21 males, 22 females) from infancy to young adulthood. At 3-months old, marmosets were trained to touch a rewarded stimulus. At 9-, 15-, and 21-months old, they were given visual discrimination and cognitive bias tests, and urine samples were collected to examine hormone levels. Marmosets were significantly more successful learners at 15 months than 9 months. Individuals who were more successful learners at 9 months were also more successful at 15 months, with more male learners than expected at 15 months. At 9 months, learning success was associated with higher cortisol levels. At 15 months, males with higher estradiol levels were more successful learners, whereas at 21 months, females with higher estradiol and cortisol levels tended to be less successful learners and more pessimistic. Nine months, therefore, appears to be an important developmental timepoint for acquiring cognitive control, which has developed by 15 months. Steroids may have differential effects on each sex, with complex interactions between gonadal and adrenal hormones having an influence on cognitive function over the lifespan. This longitudinal study offers new insight into cognition, including its development and biological underpinnings.

Discrete-time Survival Analysis of Risk Factors for Early Menarche in Korean Schoolgirls

OBJECTIVES

The aim of this study was to evaluate the effect of body weight status and sleep duration on the discrete-time hazard of menarche in Korean schoolgirls using multiple-point prospective panel data.

METHODS

The study included 914 girls in the 2010 Korean Children and Youth Panel Study who were in the elementary first-grader panel from 2010 until 2016. We used a Gompertz regression model to estimate the effects of weight status based on age-specific and sex-specific body mass index (BMI) percentile and sleep duration on an early schoolchild's conditional probability of menarche during a given time interval using general health condition and annual household income as covariates.

RESULTS

Gompertz regression of time to menarche data collected from the Korean Children and Youth Panel Study 2010 suggested that being overweight or sleeping less than the recommended duration was related to an increased hazard of menarche compared to being average weight and sleeping 9 hours to 11 hours, by 1.63 times and 1.38 times, respectively, while other covariates were fixed. In contrast, being underweight was associated with a 66% lower discrete-time hazard of menarche.

CONCLUSIONS

Weight status based on BMI percentiles and sleep duration in the early school years affect the hazard of menarche.