Inter-individual variation in levels of sex hormones results from differences in genetic, developmental, and environmental factors. We tested a hypothesis that programming of the fetal neuroendocrine axis may predispose some women to produce higher levels of steroid hormones during their menstrual cycles as adults. One hundred forty-five regularly menstruating 24- to 36- year-old women collected daily saliva samples for one menstrual cycle. Data on women's birth weights and birth lengths were obtained from medical records. A positive relationship was observed between ponderal index at birth (an indicator of nutritional status, calculated as birth weight/(birth length)(3)) and levels of estradiol (E2) in menstrual cycles, after controlling for potential confounding factors. Mean E2 was 16.4 pmol/l in the low ponderal index tertile, 17.3 pmol/l in the moderate ponderal index tertile, and 19.6 pmol/l in the high ponderal index tertile (the high ponderal index group had significantly higher E2 than both low and moderate ponderal index groups, P=0.0001). This study shows a positive association between ponderal index recorded for women at birth and levels of E2 measured during their menstrual cycles as adults. This suggests that conditions during fetal life influence adult production of reproductive hormones and may contribute to inter-individual variation in reproductive function. In addition, because large size at birth is one of the factors linked with an increased risk of breast cancer, our findings provide a physiological link for the observed positive relationship between indicators of energetic conditions during fetal growth and breast cancer in women.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/ajhb.20462 | DOI Listing |
Nutrition
November 2024
Symbiosis School of Culinary Arts and Nutritional Sciences (SSCANS), Symbiosis International (Deemed University) (SIU), Lavale, Pune, India.
Objective: This study was designed to examine the reliability of the Tri-Ponderal Mass Index (TMI) for early screening of adolescent obesity compared with anthropometric measures such as hip circumference, neck circumference, waist circumference, waist-height ratio, waist-hip ratio, and body mass index.
Methods: A school-based, cross-sectional study was conducted between July and December 2019 among 1101 school-going adolescents (both sexes) aged 12 to 17 years, in Rudrapur, Uttarakhand, India. Anthropometric measurements were collected using well-calibrated equipment, and age- and sex-specific BMI percentile cutoff values recommended by the Indian Academy of Pediatrics were used to define overweight and obesity.
Biol Trace Elem Res
November 2024
Guangdong Province, Huizhou First Maternal and Child Health Care Hospital, Huizhou, 516000, People's Republic of China.
Arch Public Health
November 2024
Department of Health Sciences, John Paul II University in Biala Podlaska, 95/97 Sidorska St., 21-500 Biala Podlaska, Lubelskie voivodship, Biala Podlaska, 21-500, Poland.
Background: This study attempts to analyse physical fitness and basic anthropometric parameters of children and adolescents participating in the nationwide physical activity promotion programme "Athletics for All!" (AFA). The programme aims to establish a national system for diagnosing, selecting, recruiting, and identifying talents in youth training. It also aims to build a career development path for athletics, forming the basis of a new structure for youth training in Poland.
View Article and Find Full Text PDFEur J Pediatr
November 2024
Department of Physical Education, Federal University of Paraná, Street Col. Francisco H. Dos Santos, 100, Jardim das Americas, Curitiba, Paraná, 81531-980, Brazil.
Unlabelled: The aim of this study was to examine the moderating role of cardiorespiratory fitness (CRF) between the relationship of cardiometabolic risk factors and adiponectin in adolescents. This is a cross-sectional study conducted with 255 adolescents of both sexes, aged 11 to 17 years. Anthropometric and biochemical parameters such as body mass, height, fat mass (FM), fat-free mass, high-density lipoprotein, low-density lipoprotein, triglycerides, glucose, insulin, adiponectin, systolic blood pressure, diastolic blood pressure, and peak oxygen consumption (VO2peak) were measured.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!