| Literature DB >> 36213197 |
Dongxia Fu1, Tao Li1, Yingxian Zhang1, Huizhen Wang1, Xue Wu1, Yongxing Chen1, Bingyan Cao2, Haiyan Wei1.
Abstract
Home quarantine due to the global coronavirus disease 2019 (COVID-19) pandemic has had a significant impact on children. Lifestyle changes have led to an increase in precocious puberty (PP) among girls, and the underlying risk factors for this remain unclear. Thus, we aimed to assess the influence of environmental, genetic, nutritional, and other lifestyle factors on the risk of PP in girls. We evaluated the incidence of new-onset PP in girls during home quarantine for COVID-19 and analyzed the potential risk factors. This was a retrospective questionnaire and medical record-based study involving 22 representative medical units from 13 cities in Henan Province, China. Girls with new-onset PP (central precocious puberty, 58; premature thelarche, 58; age, 5-9 years) between February 2020 and May 2020 were included, along with 124 healthy, age-matched controls. The number of new-onset PP cases reported during the study period was compared with that reported between February and May in 2018 and 2019. Patients' families completed a questionnaire to assess potential risk factors. There was a 5.01- and 3.14-fold increase in the number of new-onset PP cases from 2018 to 2020 and from 2019 to 2020, respectively; the differences were statistically significant (p < 0.01). High-risk factors for PP included longer time spent using electronic devices, decreased exercise time, higher body mass index, vitamin D deficiency, young age (<12 years) of mother during menarche, consumption of fried food and processed meat, residence in rural areas, and consumption of off-season fruits. Thus, we found that lifestyle changes caused due to the COVID-19 pandemic led to a significant increase in PP in girls. Management of the risk factors identified in this study may help in PP prevention.Entities:
Year: 2022 PMID: 36213197 PMCID: PMC9534639 DOI: 10.1155/2022/9229153
Source DB: PubMed Journal: Int J Endocrinol ISSN: 1687-8337 Impact factor: 2.803
Figure 1Prevalence and change rate in the number of female cases of new-onset precocious puberty in 22 medical institutions in different time periods with a CR of <0.5 to identify inhibited diseases and CR of >3 to identify stimulated diseases (CR = ratio of the prevalence of female cases of new-onset precocious puberty in different time periods).
Figure 2Prevalence and change rate in the number of female cases of new-onset precocious puberty in Henan Children's Hospital in different time periods with a CR of <0.5 to identify inhibited diseases and CR of >3 to identify stimulated diseases (CR = ratio of the prevalence of female cases of new-onset precocious puberty in different time periods).
The characteristics of patients in the precocious puberty groups and the control group.
| Variable | Control | CPP | PT |
|
|---|---|---|---|---|
| Population number | 124 | 58 | 58 | — |
| CA (years) | 7.21 ± 0.91 | 7.31 ± 1.00 | 7.27 ± 0.96 | NS |
| BA (years) | 7.13 ± 0.93 | 8.91 ± 1.32 | 7.63 ± 1.48 | 0.001 |
| Height (cm) | 123.32 ± 7.87 | 132.76 ± 7.01 | 129.46 ± 7.87 | 0.001 |
| BW (kg) | 22.77 ± 4.77 | 32.93 ± 6.57 | 28.66 ± 5.90 | 0.001 |
| BMI (kg/m2) | 15.07 ± 2.20 | 18.02 ± 2.36 | 17.04 ± 2.78 | 0.001 |
| Obesity (percentage) | 7.26 | 22.41 | 25.86 | 0.001 |
| Overweight (percentage) | 4.03 | 22.41 | 12.07 | 0.001 |
CPP, central precocious puberty; PT, premature thelarche; CA, chronological age; BA, bone age; BW, body weight; BMI, body mass index; NS, not significant.
Figure 3Logistic regression analysis of the risk factors for CPP. Multivariate odds ratios and 95% confidence intervals from unconditional logistic regression models are used in the analysis. CPP, central precocious puberty.
Figure 4Logistic regression analysis of the risk factors for PT. Multivariate odds ratios and 95% confidence intervals from unconditional logistic regression models are used in the analysis. PT, premature thelarche.
Hormone levels in the study population.
| Variable | Control | CPP | PT |
|
|---|---|---|---|---|
| Population number | 124 | 58 | 58 | |
| Serotonin (ng/mg) | 11.55 ± 4.33 | 9.99 ± 5.48 | 8.73 ± 4.05 | <0.001 |
| Melatonin (pg/mg) | 0.17 ± 0.06 | 0.19 ± 0.09 | 0.21 ± 0.10 | 0.002 |
| Leptin (ng/mg) | 0.21 ± 0.07 | 0.36 ± 0.07 | 0.28 ± 0.08 | <0.001 |
| Kisspeptin (pg/mg) | 309.55 ± 85.30 | 354.17 ± 129.34 | 352.87 ± 105.66 | 0.005 |
| LH (mIU/mL) | 0.11 ± 0.04 | 1.96 ± 2.50 | 0.15 ± 0.09 | <0.001 |
| FSH (mIU/mL) | 1.77 ± 0.74 | 3.48 ± 1.91 | 2.49 ± 1.45 | <0.001 |
| E2 (pg/mL) | 11.72 ± 9.44 | 30.12 ± 18.71 | 19.00 ± 15.38 | <0.001 |
| Vitamin D (ng/mL) | 27.61 ± 8.64 | 13.76 ± 4.10 | 15.26 ± 6.11 | <0.001 |
CPP, central precocious puberty; PT, premature thelarche; LH, luteinizing hormone; FSH, follicle stimulation hormone; E2, estrogen.