Biological maturity at birth, the course of the subsequent ontogenetic stages and age at menarche

HOMO ◽  
2012 ◽  
Vol 63 (4) ◽  
pp. 292-300 ◽  
Author(s):  
A. Szwed ◽  
M. Kosińska
Keyword(s):  
Age At Menarche ◽  
Ontogenetic Stages ◽  
Biological Maturity

Father absence, age at menarche, and sexual behaviors in women: Evaluating the genetic confounding hypothesis using the androgen receptor gene.

2019 ◽  
Vol 13 (3) ◽  
pp. 205-222 ◽  
Author(s):  
Gabriel L. Schlomer ◽  
Jessica Murray ◽  
Brianna Yates ◽  
Kerry Hair ◽  
David J. Vandenbergh
Keyword(s):  
Androgen Receptor ◽  
Sexual Behaviors ◽  
Receptor Gene ◽  
Father Absence ◽  
Androgen Receptor Gene ◽  
Age At Menarche

Association between reproductive factors and postmenopausal osteoporosis

2011 ◽  
Vol 20 (03) ◽  
pp. 248-251
Author(s):  
H. R. Meybodi ◽  
N. Khalili ◽  
P. Khashayar ◽  
R. Heshmat ◽  
A. Hossein-nezhad ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Bone Mineral ◽  
Reproductive Factors ◽  
Population Based ◽  
Age At Menarche ◽  
Mineral Density ◽  
Cross Sectional ◽  
Number Of Children ◽  
Menstrual History ◽  
Duration Of Breastfeeding

SummaryThe present cross-sectional research was designed to study possible correlations between clinical reproductive factors and bone mineral density (BMD) values.Using the data gathered by the population-based Iranian Multicenter Osteoporosis Study (IMOS), we investigated the correlation found between reproductive factors and osteoporosis. Subjects were recruited from five major cities of Iran. Bone mineral density was measured using Dual-Energy X-ray Absorptiometry and the results were analyzed against the age at menarche and at menopause, number of pregnancies, children and abortions, and the history (and duration) of breastfeeding.Data was available for 2528 women. Gravidity and number of children were reversely correlated with BMD. Younger age at menarche was associated with higher BMD values, whereas there was no significant correlation between age at menopause and menstrual history and BMD.Our study suggests that clinical reproductive factors, particularly number of children and breastfeeding, could be incorporated as predictors of BMD levels in women. Given the controversial results obtained in different studies, longitudinal studies should be carried out to enlighten the importance of these factors and the rationale of their use to predict BMD values in different settings.

1631-P: Age at Menarche and Its Association with the Metabolic Syndrome in Type 1 Diabetes

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1631-P
Author(s):  
JINGHUI JU ◽  
DEBRA RUBINSTEIN ◽  
SAMAR R. EL KHOUDARY ◽  
TREVOR J. ORCHARD ◽  
TINA COSTACOU
Keyword(s):  
Metabolic Syndrome ◽  
Type 1 Diabetes ◽  
Age At Menarche ◽  
The Metabolic Syndrome

Substance Abuse Severity in Female Adolescents: Association Between Age at Menarche and Chronological Age

1992 ◽  
Vol 1 (3) ◽  
pp. 217-221 ◽  
Author(s):  
Ada C. Mezzich ◽  
Ralph E. Tarter ◽  
Ya-Chen Hsieh ◽  
Amy Fuhrman
Keyword(s):  
Substance Abuse ◽  
Female Adolescents ◽  
Chronological Age ◽  
Age At Menarche ◽  
Abuse Severity

SIBSHIP SIZE AND AGE AT MENARCHE IN ATHLETES.

1995 ◽  
Vol 27 (Supplement) ◽  
pp. S112
Author(s):  
R. M. Malina ◽  
C. M. Boncl ◽  
R. C. Ryan
Keyword(s):  
Age At Menarche ◽  
Sibship Size

scholarly journals Effects of ontogenetic stage and leaf age on leaf functional traits and the relationships between traits in Pinus koraiensis

2021 ◽  
Author(s):  
Meng Ji ◽  
Guangze Jin ◽  
Zhili Liu
Keyword(s):  
Significant Positive Correlation ◽  
Leaf Age ◽  
Leaf Traits ◽  
Ontogenetic Stage ◽  
Pinus Koraiensis ◽  
Mature Trees ◽  
N Content ◽  
Ontogenetic Stages ◽  
Leaf N Content ◽  
Leaf N

AbstractInvestigating the effects of ontogenetic stage and leaf age on leaf traits is important for understanding the utilization and distribution of resources in the process of plant growth. However, few studies have been conducted to show how traits and trait-trait relationships change across a range of ontogenetic stage and leaf age for evergreen coniferous species. We divided 67 Pinus koraiensis Sieb. et Zucc. of various sizes (0.3–100 cm diameter at breast height, DBH) into four ontogenetic stages, i.e., young trees, middle-aged trees, mature trees and over-mature trees, and measured the leaf mass per area (LMA), leaf dry matter content (LDMC), and mass-based leaf nitrogen content (N) and phosphorus content (P) of each leaf age group for each sampled tree. One-way analysis of variance (ANOVA) was used to describe the variation in leaf traits by ontogenetic stage and leaf age. The standardized major axis method was used to explore the effects of ontogenetic stage and leaf age on trait-trait relationships. We found that LMA and LDMC increased significantly and N and P decreased significantly with increases in the ontogenetic stage and leaf age. Most trait-trait relationships were consistent with the leaf economic spectrum (LES) at a global scale. Among them, leaf N content and LDMC showed a significant negative correlation, leaf N and P contents showed a significant positive correlation, and the absolute value of the slopes of the trait-trait relationships showed a gradually increasing trend with an increasing ontogenetic stage. LMA and LDMC showed a significant positive correlation, and the slopes of the trait-trait relationships showed a gradually decreasing trend with leaf age. Additionally, there were no significant relationships between leaf N content and LMA in most groups, which is contrary to the expectation of the LES. Overall, in the early ontogenetic stages and leaf ages, the leaf traits tend to be related to a "low investment-quick returns" resource strategy. In contrast, in the late ontogenetic stages and leaf ages, they tend to be related to a "high investment-slow returns" resource strategy. Our results reflect the optimal allocation of resources in Pinus koraiensis according to its functional needs during tree and leaf ontogeny.

Prenatal exposure to maternal stressful life events and earlier age at menarche: the Raine Study

2021 ◽  
Author(s):  
E V Bräuner ◽  
T Koch ◽  
A Juul ◽  
D A Doherty ◽  
R Hart ◽  
...  
Keyword(s):  
Psychological Stress ◽  
Life Events ◽  
Prenatal Stress ◽  
Stressful Life Events ◽  
Maternal Stress ◽  
Stressful Life Event ◽  
Stressful Life ◽  
Age At Menarche ◽  
Complete Case ◽  
Life Event

Abstract STUDY QUESTION Is there an association between prenatal exposure to stressful life events and age at menarche, and does childhood BMI mediate this association? SUMMARY ANSWER Girls exposed to prenatal stress had a slightly earlier age at menarche, but this association did not show a dose-response effect and was not mediated by childhood offspring BMI. WHAT IS ALREADY KNOWN Prenatal stress may impact on reproductive function in females including age at menarche, but human data are very limited. High childhood BMI is known to be associated with earlier age at menarche. Only one small study has measured the association between maternal stress and age at menarche and reported that childhood BMI mediated the association between maternal stress and earlier age at menarche. However, neither maternal stress nor age at menarche was prospectively recorded and the study was limited to 31 mother–daughter pairs. STUDY DESIGN, SIZE, DURATION The Raine Study is a large prospective population-based pregnancy cohort study (n = 1414 mother–daughter pairs) continuously followed from prenatal life through to adolescence. In the present study, we examined the association between exposure to maternal stressful life events during early, late and total gestation and age at menarche in offspring using 753 mother–daughter pairs with complete case information. PARTICIPANTS/MATERIALS, SETTING, METHODS Mothers prospectively reported stressful life events during pregnancy at 18 and 34 weeks using a standardized 10-point questionnaire. Exact date of menarche was assessed using a purpose-designed questionnaire at 8, 10, 14 and 17 years of age. Complete information on exposure, outcome and confounding variables was obtained from 753 mothers–daughter pairs. Multivariate linear regression complete case analysis was used to examine associations between maternal stressful life event exposure and age at menarche. Potential selection bias was evaluated using multiple imputations (50 datasets). The mediating effects of offspring childhood BMI (ages 5, 8, or 10 years) on these associations were measured in separate sub-analyses. MAIN RESULTS AND ROLE OF CHANCE Most (580/753, 77%) daughters were exposed to at least one prenatal stressful life event. Exposure to maternal stressful life events during the entire pregnancy was associated with a non-linear earlier age at menarche. Exposure to one event and two or more psychological stressful events was associated with a 3.5 and 1.7-month earlier onset of puberty, respectively when compared to the reference group with no exposure maternal stressful life events. The estimates from multiple imputation with 50 datasets were comparable with complete case analysis confirming the existence of an underlying effect. No separate significant effects were observed for exposure during early or late gestation. The association between prenatal stressful events and age at menarche was not mediated by childhood BMI in the offspring. LIMITATIONS, REASONS FOR CAUTION Stressful life events may have affected pregnant women in different ways and self-perceived maternal stress severity may have provided a more precise estimate of gestational psychological stress. The observed non-linear U-shape of the association between maternal psychological stress and age at menarche did not reflect a dose-response. This suggests that the first exposure to prenatal stress exerts a greater effect on fetal reproductive development. A potential mechanism is via dramatic initial activation of the hypothalamic–pituitary–adrenal (HPA) axis following the first stressful life event which is greater than that observed following subsequent exposure to two or more maternal stressful life events. Whilst we adjusted for a priori chosen confounders, we cannot exclude residual confounding or confounding by factors we did not include. Maternal age at menarche was not available so the effects of familial history/genetics could not be assessed. There was a large loss due to the number of girls with no information on date of menarche and missing confounder information implying risk of selection bias and multiple imputation analyses did not fully exclude this risk (similar direction but slightly weaker estimate magnitude). WIDER IMPLICATIONS OF THE FINDINGS Menarche is a sentinel reproductive event and earlier age at menarche carries implications for psychological, social and reproductive health and for long-term risk of common non-communicable diseases. Understanding the factors regulating age at menarche has extensive health implications. This is the first population-based cohort study in humans to demonstrate that prenatal psychological stress might directly modify age at menarche. STUDY FUNDING/COMPETING INTEREST(S) Dr. Bräuner and Trine Koch’s salaries were supported by Doctor Sofus Carl Emil Friis and spouse Olga Doris Friis foundation, The Danish Cancer Society (Kræftens Bekæmpelse, RP15468, R204-A12636, Denmark) and The Danish Health Foundation (Helsefonden, F-22181-23, Denmark). Martha Hickey was funded by NHMRC Practitioner Fellowships. The funding bodies played no role in the design, collection, analysis, or interpretation of data; in the writing of the manuscript; or in the decision to submit the manuscript for publication. Dr. Hart has received personal fees in his function as the Medical Director of Fertility Specialists of Western Australia and received educational sponsorship grants from MSD, Merck-Serono and from Ferring Pharmaceuticals. Dr Hart has also received personal fees from Shareholders in Western IVF outside the submitted work. TRIAL REGISTRATION NUMBER NA.

A prospective cohort study of nutrient intake and age at menarche

1991 ◽  
Vol 54 (4) ◽  
pp. 649-656 ◽  
Author(s):  
M Maclure ◽  
L B Travis ◽  
W Willett ◽  
B MacMahon
Keyword(s):  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Nutrient Intake ◽  
Age At Menarche
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