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ORIGINAL RESEARCH article

Front. Endocrinol., 28 February 2023
Sec. Pediatric Endocrinology
This article is part of the Research Topic Stars and Rising Stars in Pediatric Endocrinology: 2022 View all 10 articles

COVID-19 pandemic phases and female precocious puberty: The experience of the past 4 years (2019 through 2022) in an Italian tertiary center

Laura ChiomaLaura ChiomaMariangela ChiaritoMariangela ChiaritoGiorgia BottaroGiorgia BottaroLaura PaoneLaura PaoneTommaso TodiscoTommaso TodiscoCarla Bizzarri*&#x;Carla Bizzarri*†Marco Cappa&#x;Marco Cappa
  • Endocrinology Unit, University Hospital Pediatric Department, Bambino Gesù Children’s Hospital, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy

Objective: Since the outbreak of COVID-19 pandemic, several centers of pediatric endocrinology worldwide have observed a significant increase in the number of girls presenting with precocious or early puberty. We aimed to compare the incidence rates of female precocious puberty before and during the different phases of COVID-19 pandemic.

Methods: We have retrospectively analyzed all the consultations recorded in the outpatient clinic database of the Endocrinology Unit of Bambino Gesù Children’s Hospital, Rome, Italy, from the lockdown start in March 2020 up to September 2020, in comparison with the consultations recorded in the same months of 2019, 2021 and 2022. Age, height, weight, body mass index, Tanner’s pubertal stage and bone age at presentation, birth weight, ethnicity, family history of central precocious puberty (CPP), maternal age at menarche, history of adoption were retrieved from clinical records. Serum levels of follicle-stimulating hormone (FSH), luteinizing hormone (LH) both at baseline and after gonadotropin-releasing hormone (GnRH) stimulation, and basal estradiol levels were collected.

Results: In 2019, 78 girls with suspected precocious puberty were referred for endocrinological consultation, compared to 202 girls in 2020, 158 girls in 2021 and 112 girls in 2022. A significant increase in the proportion of girls diagnosed with rapidly progressive CPP was observed in 2020, compared to 2019 (86/202 vs. 18/78, p<0.01). In the following periods of 2021 and 2022, a gradual decrease in the number of cases of progressive CPP was evident, so much that the number of cases was not significantly different from that observed in 2019 (56/158 in 2021 and 35/112 in 2022, p=0.054 and p=0.216 respectively, compared to 2019).

Conclusions: Our research suggests that drastic lifestyle changes, such as those imposed by COVID-19 lockdown, and the consequent stress may affect the regulation of pubertal timing. The remarkable increase in CPP cases observed during the 2020 first pandemic wave seems to be reduced in 2021 and 2022, concurrently with the progressive resumption of daily activities. These data seem to support the hypothesis of a direct relationship between profound life-style changes related to the pandemic and the rise in precocious puberty cases.

1 Introduction

Puberty is the crucial transition process between childhood and adulthood, leading to full reproductive capacity (1). Female central precocious puberty (CPP) is defined as the onset of breast development before the age of eight years, due to the activation of the hypothalamic-pituitary-ovarian (HPO) axis (2). Puberty is a complex phenomenon, and factors modulating timing and/or tempo of puberty are not fully understood. It has been assumed that genetic, epigenetic and environmental factors, such as energy imbalance, exposure to endocrine disruptors or stressful events may trigger an earlier pubertal development (3, 4).

In the last century a trend toward earlier puberty was already observed (57). This phenomenon, known as “secular trend of puberty”, has described a progressive reduction in the age at menarche, dropping from 17 years in the early-1800s to 13 years by the mid-1900s, with a further minor decline through the last three decades (5).

Recently, several centers of pediatric endocrinology worldwide, including ours, have observed a further significant increase in the number of girls presenting with precocious or early puberty since mid-2020 (821). During this period, corresponding to the first wave of COVID-19 pandemic, the Italian government imposed a strict lockdown across the country, in order to reduce the transmission rate and to avoid hospital bed saturation. Consequently, profound changes in everyday life occurred, such as school closures and the restriction of outdoor and team sports activities. Families were forced to stay at home, except for emergency reasons, with more opportunities for hypercaloric food consumption and overnutrition and the worsening of sedentary lifestyle. There was a significant rise of e-learning, extremely uncommon in primary schools before the pandemic. All these changes led to a larger daily use of electronic devices among children.

Given the growing worldwide evidence of an increase in female precocious puberty since the outbreak of COVID-19 pandemic, we aimed to investigate the evolution of this phenomenon before and during the different phases of the pandemic, from 2019 to 2022.

2 Materials and methods

2.1 Subjects

We retrospectively analyzed all the consultations for suspected precocious or early puberty recorded in the outpatient clinic database of the Endocrinology Unit of Bambino Gesù Children’s Hospital, Rome, Italy from lockdown start in March 2020 to September 2020, in comparison with the consultations recorded in the same period of 2019, 2021 and 2022.

Consultations for premature thelarche in girls younger than 3 years were excluded. All subjects with suspected precocious puberty were observed for up to three months in order to reach the final diagnosis.

For each year, the subjects were further divided into subgroups based on the final diagnosis: transient thelarche (TT), non-progressive precocious puberty (NPP), CPP, or early puberty (EP). Subjects presenting with thelarche that disappeared during the 3-month observation period were assigned to the TT group. EP was defined as pubertal signs first appearing between 8 and 9 years, these girls were not further investigated.

The Institutional Review Board of ‘Bambino Gesù Children’s Hospital approved the study protocol.

2.2 Anthropometric data and medical history

Age, height (H), weight (W), body mass index (BMI), pubertal stage and bone age (BA) at presentation, birth weight, ethnicity, CPP family history, maternal age at menarche, history of adoption were retrieved from clinical records. H (cm) and W (kg) were also expressed as age and sex specific standard deviation score (SDS) according to the standard growth charts for the Italian population (22). Body mass index (BMI) was calculated as the ratio between W and H2 and expressed as SDS. Birth weight was expressed also as SDS according to the Italian Neonatal Anthropometric Charts (23). Tanner’s method was used to assess pubertal stages (24). Questionnaires concerning physical activity, screen time and eating habits at the onset of pubertal signs were administered to all groups.

2.3 Laboratory measurements

Serum levels of follicle-stimulating hormone (FSH), luteinizing hormone (LH) both at baseline and after gonadotropin-releasing hormone (GnRH) stimulation, and basal estradiol levels were collected, when available, among all subgroups except EP. GnRH stimulation test was performed by the i.v. administration of GnRH (Lutrelef; Ferring) at a dosage of 100 µg, with FSH and LH measurement at baseline and 30, 60 and 90 minutes after the injection. A basal LH level above 0.2 IU/l and/or a LH peak after GnRH infusion above 5 IU/l were considered diagnostic for CPP (2, 25). In the absence of one or both these criteria, subjects with slow pubertal progression were assigned to the NPP group.

2.4 Imaging

All subjects underwent pelvic ultrasound to assess uterine and ovarian characteristics. A uterine longitudinal diameter above 36 mm and the presence of the endometrium echo-pattern were considered signs of estrogenic stimulation, suggestive of precocious puberty.

An X-ray of the left hand and wrist was performed in all subjects to assess BA, according to the Greulich & Pyle method (26). Bone age advancement (years) was assessed as the difference between BA and chronological age.

Most subjects diagnosed with CPP (152 girls, 78%) underwent a magnetic resonance of the hypothalamus-pituitary area to rule out intracranial pathologies.

2.5 Statistical analysis

Data were expressed as mean ± SD when normally distributed and as median (interquartile range or IQR) for parameters with non-normal distribution, unless otherwise specified. Categorical variables were reported as number and percentage. The observed subjects were divided into four groups according to the year of evaluation (2019, 2020, 2021 or 2022). Each group was further divided in four subgroups according to the final diagnosis (TT, NPP, CPP or EP). Categorical variables were compared using chi-square (χ²) test. ANOVA was applied to compare variables with normal distribution between more than two groups, while Kruskal–Wallis test was applied for variable with non-normal distribution.

Statistical analysis was performed with the statistical package SPSS v23 for Windows (SPSS Inc, Chicago, IL, USA) and a probability value of p < 0.05 was considered statistically significant.

3 Results

The sharpest increase of consultations was observed in 2020, with 208 subjects referred for suspected precocious or early puberty among a total number of 747 consultations in the period March-September 2020 (27.8%), in comparison with 85 subjects/1260 consultations in the same period of 2019 (6.7%). In 2021 there was still an increase in consultations for suspected precocious puberty, even if less pronounced than in 2020, with 166 subjects/1190 consultations (13.3%). A further reduction of consultations was observed in 2022, with 120 subjects/1380 consultations (8.7%).

Given the similarity in the number of boys observed throughout the years (7 subjects in 2019, 6 subjects in 2020, 8 subjects in 2021 and 8 subjects in 2022), we decided to further analyze only the female population of each considered period. Thirty-one girls were excluded because they were lost at follow-up after the first observation.

The study population consisted of 550 girls, divided as follows: 78 girls evaluated in 2019, 202 girls in 2020, 158 girls in 2021 and 112 girls in 2022. Figure 1 summarizes the design of the study and the results of data collection.

FIGURE 1
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Figure 1 Flowchart summarizing the study design.

The number of consultations for suspected precocious or early puberty in girls was confirmed significantly higher in 2020 than in 2019 (202/747 equivalent to 27% in 2020 vs. 78/1260 equivalent to 6.2% in 2019, p<0.01). In 2020, the most evident increase in consultations was observed during the months following the lockdown (139/202 between June and September, equivalent to 72.8% vs. 63/202 between March and May, equivalent to 27.2%). In 2021 an initial downward trend was observed (158/1190, equivalent to 13.3%, p<0.01 vs. 2020), that became even further evident in 2022 (112/1380 equivalent to 8.1%, p<0.01 vs. 2020). This progressive downward trend led to a number of consultations in 2022 that was not significantly different from the number observed in 2019 (8.1% vs. 6.2% respectively, p=0.06) (Table 1).

TABLE 1
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Table 1 Consultations for suspected precocious or early puberty recorded between March and September from 2019 to 2022, in comparison with the overall consultations recorded in the same period of the years.

CPP family history was positive in 28.7% of girls in 2020, in 24.1% in 2021 and in 31.3% in 2022, without significant differences with the 2019 population (35.9%). In total, ten girls had been adopted, 3 of them belonged to the NPP group and 7 to the CPP group.

The proportion of girls with rapidly progressive CPP was significantly higher in 2020, compared to 2019 (86/202 vs. 18/78, equivalent to 42.6% vs. 23.1%, p<0.01). In 2021, the number of cases of progressive CPP slightly decreased, compared to 2020 (56/158 vs. 86/202, equivalent to 35.4% vs. 42.6%, p = 0.17). In 2022, a further significant reduction in the number of cases of progressive CPP was observed compared to 2020 (35/112 vs. 86/202, equivalent to 31.3% vs. 42.6%, p=0.04). The number of cases observed in 2022 was not statistically different from the number of cases observed in 2019 (35/112 vs. 18/78, equivalent to 31.3% vs. 23.1%, p=0.22) (Figure 2).

FIGURE 2
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Figure 2 Subgroup distribution according on the final diagnosis in the different years. TT, transient thelarche; NPP, non-progressive precocious puberty; CPP, central precocious puberty; EP, early puberty. *p<0.01; °p<0.05.

Table 2 shows patients’ characteristics according to the year of observation and final diagnosis.

TABLE 2
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Table 2 Anthropometric parameters of study population according to year of observation and final diagnosis.

No significant differences in anthropometric characteristics and laboratory parameters were found comparing the CPP subgroups of the four different years. The exceptions to this finding were a lower basal LH level in 2020 compared to 2022 (0.7 ± 0.98 IU/L in 2020 vs. 1.88 ± 1.99 IU/L in 2022, p<0.01) and a less evident BA advancement in 2020 compared to 2021 (1.32 ± 0.92 years in 2020 vs. 1.85 ± 1.17 years in 2021, p=0.02) (Table 3).

TABLE 3
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Table 3 Anthropometric characteristics and laboratory/instrumental parameter comparing the central precocious puberty (CPP) subgroups in the four different years.

The majority of CPP girls (78%) underwent brain MRI study, none of them showed organic lesions related to CPP.

As regards to lifestyle, a significantly lower weekly physical activity was reported in the 2020 group compared to the 2019 and 2022 groups (median 1-2 h/week, IQR (0) in 2020 vs. 3-4 h/week, IQR (1-2 h/week to 5-6 h/week) in both 2019 and 2022, p<0.01) (Figure 3). In addition, the overall weekly time spent on electronic devices (as tablet, PC or smartphone) was considerably greater in the 2020 group than in 2019 and 2022 groups (median >20 h/week, IQR (0) in 2020 vs. 10-15 h/week, IQR (0) in 2019 and 5-10 h/week, IQR (1-5 h/week to 10-15 h/week) in 2022; p<0.01) (Figure 4). No significant difference in eating habits were evident among the groups.

FIGURE 3
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Figure 3 Overall weekly physical activity in 2019, 2020 and 2022 populations.

FIGURE 4
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Figure 4 Overall weekly use of electronic devices (as tablet, PC and smartphone) in 2019, 2020 and 2022 populations.

4 Discussion

Our current data confirms the repeatedly reported, sharp increase in endocrinological consultations for suspected precocious or early puberty in girls, during the first waves of COVID-19 pandemic (821). As previously described, the increase in consultations was also reflected in an increase in CPP cases in 2020 compared to pre-pandemic values. Supporting the assumption of a different etiology between early and true precocious puberty, no difference in the number of cases of EP was observed throughout the four years.

The number of consultations for suspected precocious or early puberty in 2020 could have been affected by a selection bias due to the home confinement with elevated health anxiety that characterized the first phase of the pandemic. On the other hand, the significant increase of CPP cases in 2020 is supported by an objective diagnosis formulated by the same medical personnel among the different years.

For the first time, a gradual tendency towards a decrease of consultations and CPP cases during the evolution of the pandemic has been revealed, suggesting a downward trend of this phenomenon in concert with waning of the pandemic such that cases observed in 2022 were similar to the number of cases seen in 2019.

During 2021, the restrictive measures previously put in place to contain the pandemic were progressively relaxed and daily life activities returned to normal. Distant learning was gradually abandoned, at least in the primary schools, and children resumed face-to-face school activities. Group activities in leisure time and outdoor physical exercise resumed.

In a previous study (19), we correlated the increase of precocious puberty cases with home confinement, lack of physical exercise and the significant increase of daily screen time (both for studying and for leisure activities). These profound changes could have acted as stressors triggering the onset of puberty. The results of the present study seem to confirm the impact of lifestyle changes on pubertal timing.

Although there is no conclusive data on the association between poor physical activity and precocious puberty, a recent meta-analysis has confirmed that regular exercise training substantially increases adiponectin levels in obese children (27). Adiponectin, one of the most relevant adipokines secreted by mature adipocytes, has been demonstrated to suppress kisspeptin gene transcription and GnRH secretion by hypothalamic neurons, playing an inhibitory role in the onset of puberty (28, 29).

Beyond the physical benefits of exercise, several studies reported a positive association between physical activity and psychological well-being in children and adolescents. A sedentary lifestyle has been related to both depression and lower life satisfaction and happiness, while promoting physical activity and decreasing sedentary behavior might protect mental health (30). Early studies (31, 32) suggested that psychological stress itself (due to insecure bonds with parents or parental conflicts) might modify pubertal timing. A recent study reported that anxiety and other internalizing symptoms in pre-pubertal girls are associated with early pubertal onset, independently from maternal education anxiety, BMI, and ethnicity (33).

Several studies have recently investigated the effects of exposure to electromagnetic fields on melatonin (3437). Exposure to electromagnetic fields has been associated with decreased melatonin production in vitro, as well as with a decreased pineal and plasma melatonin and its urinary metabolites (35). Nighttime serum melatonin levels are highest in infants and young children and decrease progressively by 80% throughout childhood and adolescence, nocturnal melatonin levels drop in parallel with sexual maturation (38, 39). Animal models have also shown that a reduction in melatonin may accelerate pubertal development (40) and that the administration of melatonin suppress GnRH secretion (41). A recent study performed on immature female rats differentially exposed to a light spectrum predominantly emitted by LED (light-emitting diode) screens, showed a faster pubertal maturation in rats bathed with the blue-tinged light for longer bouts (42). The combination of this data suggests that a greater use of electronic devices leads to a reduction in melatonin levels, which in turn triggers the endocrine changes culminating in the earlier onset of puberty (43).

Another study reported more frequent late bedtime, sleep disturbances, excessive somnolence, sleep breathing disorders and sleep-wake transition disorders in girls diagnosed with CPP during the Italian lockdown (15).

Published data analyzing the impact of overweight and obesity on the rise of CPP cases are conflicting (8, 13, 44, 45). Interestingly, we did not find any significant difference in BMI SDS at CPP diagnosis across the four years of observation, suggesting that overnutrition and overweight do not represent determining factors in this context.

All the mentioned factors (inactivity, increased screen time, sleep disturbances, and stress) may have contributed to the sharp increase in CPP cases, acting directly on the HPO axis. The retrospective design of the study does not allow identifying which factor predominates over the others. Indeed, the speed and reversibility of the phenomenon and the absence of differences in the anthropometric characteristics of the groups (in particular, BMI unchanged over the years) allows us to rule out already known risk factors for CPP (such as endocrine disruptors, obesity, or epigenetic factors). In support of this hypothesis, we observed lower basal LH levels and the less evident BA advancement in the 2020 CPP cases, compared to 2019. This could suggest that life-style changes can only act as weaker triggers of GnRH secretion with a transient effect on pubertal timing.

A single study from Korea described an almost doubled CPP incidence in 2021, in comparison with 2016, with a concurrent increase in the proportion of boys (19.55% vs. 9.21%) (11). As in the majority of the published studies, we reported an increase of CPP cases uniquely in girls. This fact seems to confirm that male CPP, in its rarity, is mostly related to organic disorders and/or genetic factors and less influenced by environmental changes.

We are aware that the major limitation of this study is its retrospective design, which did not allow us to obtain more data on factors potentially influencing GnRH secretion, but to our knowledge, this is the first study that describes a progressive downward trend in CPP cases during the post-pandemic period in 2022 to near pre-pandemic levels.

In conclusion, the sharp increase of CPP cases in girls during the first pandemic wave in mid-2020 seems to give way to a gradual downward trend, concurrently with the easing of the restrictive measures, returning to the pre-pandemic incidence of CPP in 2022. This suggests that the drastic lifestyle changes, as lack of physical exercise, increased screen time, sleep disturbances, and stress, may represent weak and reversible triggers on the central “biological clock” controlling timing and tempo of puberty.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by Bambino Gesù Children’s Hospital. Written informed consent from the participants’ legal guardian/next of kin was not required to participate in this study in accordance with the national legislation and the institutional requirements.

Author contributions

CB and MCa conceptualized and designed the study. GB, LC, LP, TT, and MCh collected data. LC and MCh performed statistical analysis. CB, LC, and MCh drafted the initial manuscript, and reviewed the manuscript. MCa and CB revised the manuscript. All authors contributed to the article and approved the submitted version.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Beccuti G, Ghizzoni L. Normal and abnormal puberty. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, et al, editors. Endotext. South Dartmouth, MA: MDText.com, Inc. (2015).

Google Scholar

2. Carel JC, Léger J. Clinical practice. precocious puberty. N Engl J Med (2008) 358:2366–77. doi: 10.1056/NEJMcp0800459

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Abreu AP, Kaiser UB. Pubertal development and regulation. Lancet Diabetes Endocrinol (2016) 4:254–64. doi: 10.1016/S2213-8587(15)00418-0

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Palmert MR, Boepple PA. Variation in the timing of puberty: Clinical spectrum and genetic investigation. J Clin Endocrinol Metab (2001) 86:2364–8. doi: 10.1210/jcem.86.6.7603

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Parent AS, Teilmann G, Juul A, Skakkebaek NE, Toppari J, Bourguignon JP. The timing of normal puberty and the age limits of sexual precocity: Variations around the world, secular trends, and changes after migration. Endocr Rev (2003) 24:668–93. doi: 10.1210/er.2002-0019

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Aksglaede L, Sørensen K, Petersen JH, Skakkebaek NE, Juul A. Recent decline in age at breast development: The Copenhagen puberty study. Pediatrics (2009) 123:e932–9. doi: 10.1542/peds.2008-2491

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Sørensen K, Mouritsen A, Aksglaede L, Hagen CP, Mogensen SS, Juul A. Recent secular trends in pubertal timing: Implications for evaluation and diagnosis of precocious puberty. Horm Res Paediatr (2012) 77:137–45. doi: 10.1159/000336325

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Stagi S, De Masi S, Bencini E, Losi S, Paci S, Parpagnoli M, et al. Increased incidence of precocious and accelerated puberty in females during and after the Italian lockdown for the coronavirus 2019 (COVID-19) pandemic. Ital J Pediatr (2020) 46:165. doi: 10.1186/s13052-020-00931-3

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Verzani M, Bizzarri C, Chioma L, Bottaro G, Pedicelli S, Cappa M. "Impact of COVID-19 pandemic lockdown on early onset of puberty: Experience of an Italian tertiary center". Ital J Pediatr (2021) 47:52. doi: 10.1186/s13052-021-01015-6

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Street ME, Sartori C, Catellani C, Righi B. Precocious puberty and covid-19 into perspective: Potential increased frequency, possible causes, and a potential emergency to be addressed. Front Pediatr (2021) 9:734899. doi: 10.3389/fped.2021.734899

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Choi KH, Park SC. An increasing tendency of precocious puberty among Korean children from the perspective of COVID-19 pandemic effect. Front Pediatr (2022) 10:968511. doi: 10.3389/fped.2022.968511

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Fu D, Li T, Zhang Y, Wang H, Wu X, Chen Y, et al. Analysis of the incidence and risk factors of precocious puberty in girls during the COVID-19 pandemic. Int J Endocrinol (2022) 2022:9229153. doi: 10.1155/2022/9229153

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Yesiltepe Mutlu G, Eviz E, Haliloglu B, Kirmizibekmez H, Dursun F, Ozalkak S, et al. The effects of the covid-19 pandemic on puberty: A cross-sectional, multicenter study from Turkey. Ital J Pediatr (2022) 48:144. doi: 10.1186/s13052-022-01337-z

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Acinikli KY, Erbaş İM, Besci Ö, Demir K, Abacı A, Böber E. Has the frequency of precocious puberty and rapidly progressive early puberty increased in girls during the COVID-19 pandemic? J Clin Res Pediatr Endocrinol (2022) 14:302–7. doi: 10.4274/jcrpe.galenos.2022.2022-12-11

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Umano GR, Maddaluno I, Riccio S, Lanzaro F, Antignani R, Giuliano M, et al. Central precocious puberty during COVID-19 pandemic and sleep disturbance: An exploratory study. Ital J Pediatr (2022) 48:60. doi: 10.1186/s13052-022-01256-z

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Chen Y, Chen J, Tang Y, Zhang Q, Wang Y, Li Q, et al. Difference of precocious puberty between before and during the COVID-19 pandemic: A cross-sectional study among shanghai school-aged girls. Front Endocrinol (Lausanne) (2022) 13:839895. doi: 10.3389/fendo.2022.839895

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Peinkhofer M, Bossini B, Penco A, Giangreco M, Pellegrin MC, Vidonis V, et al. Reduction in pediatric growth hormone deficiency and increase in central precocious puberty diagnoses during COVID 19 pandemics. Ital J Pediatr (2022) 48:49. doi: 10.1186/s13052-022-01238-1

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Acar S, Özkan B. Increased frequency of idiopathic central precocious puberty in girls during the COVID-19 pandemic: Preliminary results of a tertiary center study. J Pediatr Endocrinol Metab (2021) 35:249–51. doi: 10.1515/jpem-2021-0565

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Chioma L, Bizzarri C, Verzani M, Fava D, Salerno M, Capalbo D, et al. Sedentary lifestyle and precocious puberty in girls during the COVID-19 pandemic: An Italian experience. Endocr Connect (2022) 11(2):e210650. doi: 10.1530/EC-21-0650

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Trujillo MV, Rungvivatjarus T, Klein KO. Incidence of central precocious puberty more than doubled during COVID-19 pandemic: Single-center retrospective review in the United States. Front Pediatr (2022) 10:1007730. doi: 10.3389/fped.2022.1007730

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Barberi C, Di Natale V, Assirelli V, Bernardini L, Candela E, Cassio A. Implicating factors in the increase in cases of central precocious puberty (CPP) during the COVID-19 pandemic: Experience of a tertiary centre of pediatric endocrinology and review of the literature. Front Endocrinol (Lausanne) (2022) 13:1032914. doi: 10.3389/fendo.2022.1032914

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Cacciari E, Milani S, Balsamo A, Spada E, Bona G, Cavallo L, et al. Italian Cross-sectional growth charts for height, weight and BMI (2 to 20 yr). J Endocrinol Invest (2006) 29:581–93. doi: 10.1007/BF03344156

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Bertino E, Spada E, Occhi L, Coscia A, Giuliani F, Gagliardi L, et al. Neonatal anthropometric charts: the Italian neonatal study compared with other European studies. J Pediatr Gastroenterol Nutr (2010) 51:353–61. doi: 10.1097/MPG.0b013e3181da213e

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Tanner JM, Whitehouse RH. Clinical longitudinal standards for height, weight, height velocity, weight velocity, and stages of puberty. Arch Dis Childhood (1976) 51:170–9. doi: 10.1136/adc.51.3.170

CrossRef Full Text | Google Scholar

25. Neely EK, Hintz RL, Wilson DM, Lee PA, Gautier T, Argente J, et al. Normal ranges for immunochemiluminometric gonadotropin assays. J Pediatr (1995) 127:40–6. doi: 10.1016/S0022-3476(95)70254-7

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Greulich WW, Pyle SI. Radiographic atlas of skeletal development of hand wrist, 2nd ed. Stanford, CA: Stanford University Press (1971).

Google Scholar

27. García-Hermoso A, Ceballos-Ceballos RJ, Poblete-Aro CE, Hackney AC, Mota J, Ramírez-Vélez R. Exercise, adipokines and pediatric obesity: A meta-analysis of randomized controlled trials. Int J Obes (2017) 41:475–82. doi: 10.1038/ijo.2016.230

CrossRef Full Text | Google Scholar

28. Nieuwenhuis D, Pujol-Gualdo N, Arnoldussen IAC, Kiliaan AJ. Adipokines: A gear shift in puberty. Obes Rev (2020) 21:e13005. doi: 10.1111/obr.13005

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Argente J, Dunkel L, Kaiser UB, Latronico AC, Lomniczi A, Soriano-Guillén L, et al. Molecular basis of normal and pathological puberty: from basic mechanisms to clinical implications. Lancet Diabetes Endocrinol (2023) 5:S2213–8587(22)00339-4. doi: 10.1016/S2213-8587(22)00339-4

CrossRef Full Text | Google Scholar

30. Rodriguez-Ayllon M, Cadenas-Sánchez C, Estévez-López F, Muñoz NE, Mora-Gonzalez J, Migueles JH, et al. Role of physical activity and sedentary behavior in the mental health of preschoolers, children and adolescents: A systematic review and meta-analysis. Sports Med (2019) 49:1383–410. doi: 10.1007/s40279-019-01099-5

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Belsky J, Steinberg L, Draper P. Childhood experience, interpersonal development, and reproductive strategy: and evolutionary theory of socialization. Child Dev (1991) 62:647–70. doi: 10.1111/j.1467-8624.1991.tb01558.x

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Wierson M, Long PJ, Forehand RL. Toward a new understanding of early menarche: the role of environmental stress in pubertal timing. Adolescence (1993) 28:913–24.

PubMed Abstract | Google Scholar

33. Knight JA, Kehm RD, Schwartz L, Frost CJ, Chung WK, Colonna S, et al. Prepubertal internalizing symptoms and timing of puberty onset in girls. Am J Epidemiol (2021) 190:431–8. doi: 10.1093/aje/kwaa223

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Salti R, Tarquini R, Stagi S, Perfetto F, Cornélissen G, Laffi G, et al. Age dependent association of exposure to television screen with children's urinary melatonin excretion? Neuro Endocrinol Lett (2006) 27:73–80.

PubMed Abstract | Google Scholar

35. Sangün Ö, Dündar B, Çömlekçi S, Büyükgebiz A. The effects of electromagnetic field on the endocrine system in children and adolescents. Pediatr Endocrinol Rev (2015) 13:531–45.

PubMed Abstract | Google Scholar

36. Akkaya R, Gümüş E, Akkaya B, Karabulut S, Gülmez K, Karademir M, et al. Wi-fi decreases melatonin protective effect and increases hippocampal neuronal damage in pentylenetetrazole induced model seizures in rats. Pathophysiology (2019) 26:375–9. doi: 10.1016/j.pathophys.2019.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Lewczuk B, Redlarski G, Zak A, Ziółkowska N, Przybylska-Gornowicz B, Krawczuk M. Influence of electric, magnetic, and electromagnetic fields on the circadian system: Current stage of knowledge. BioMed Res Int (2014) 2014:169459. doi: 10.1155/2014/169459

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Waldhauser F, Waldhauser M, Lieberman HR, Deng MH, Lynch HJ, Wurtman RJ. Bioavailability of oral melatonin in humans. Neuroendocrinology (1984) 39:307–13. doi: 10.1159/000123997

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Waldhauser F, Weiszenbacher G, Frisch H, Zeitlhuber U, Waldhauser M, Wurtman RJ. Fall in nocturnal serum melatonin during prepuberty and pubescence. Lancet (1984) 1:362–5. doi: 10.1016/s0140-6736(84)90412-4

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Hadinia SH, Carneiro PRO, Fitzsimmons CJ, Bédécarrats GY, Zuidhof MJ. Post-photostimulation energy intake accelerated pubertal development in broiler breeder pullets. Poult Sci (2020) 99:2215–29. doi: 10.1016/j.psj.2019.11.065

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Roy D, Belsham DD. Melatonin receptor activation regulates GnRH gene expression and secretion in GT1-7 GnRH neurons. Signal transduction mechanisms. J Biol Chem (2002) 277:251–8. doi: 10.1074/jbc.M108890200

CrossRef Full Text | Google Scholar

42. Kılınç Uğurlu A, Bideci A, Mürşide Demirel A, Take Kaplanoğlu G, Dayanır D, Gülbahar O, et al. Blue light exposure and exposure duration effects on rats’ puberty process (P1-361). in: 60th annual meeting of the European society for paediatric endocrinology (ESPE). Horm Res Paediatr (2022) 95(suppl 2):359. doi: 10.1159/000525606

CrossRef Full Text | Google Scholar

43. Boafo A, Greenham S, Alenezi S, Robillard R, Pajer K, Tavakoli P, et al. Could long-term administration of melatonin to prepubertal children affect timing of puberty? a clinician's perspective. Nat Sci Sleep (2019) 11:1–10. doi: 10.2147/NSS.S181365

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Roh SM, Eun BW, Seo JY. Does coronavirus disease 2019 affect body mass index of children and adolescents who visited a growth clinic in south Korea?: A single-center study. Ann Pediatr Endocrinol Metab (2022) 27:52–9. doi: 10.6065/apem.2142082.041

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Oliveira Neto CP, Azulay RSS, Almeida AGFP, Tavares MDGR, Vaz LHG, Leal IRL, et al. Differences in puberty of girls before and during the COVID-19 pandemic. Int J Environ Res Public Health (2022) 19:4733. doi: 10.3390/ijerph19084733

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: precocious puberty, lockdown, COVID-19, pandemic, girls

Citation: Chioma L, Chiarito M, Bottaro G, Paone L, Todisco T, Bizzarri C and Cappa M (2023) COVID-19 pandemic phases and female precocious puberty: The experience of the past 4 years (2019 through 2022) in an Italian tertiary center. Front. Endocrinol. 14:1132769. doi: 10.3389/fendo.2023.1132769

Received: 27 December 2022; Accepted: 20 February 2023;
Published: 28 February 2023.

Edited by:

Benjamin Udoka Nwosu, Hofstra University, United States

Reviewed by:

Elpis Vlachopapadopoulou, Panagiotis & Aglaia Kyriakou Children’s Hospital, Greece
Ivana Rabbone, University of Eastern Piedmont, Italy

Copyright © 2023 Chioma, Chiarito, Bottaro, Paone, Todisco, Bizzarri and Cappa. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Carla Bizzarri, Y2FybGEuYml6emFycmlAb3BiZy5uZXQ=

These authors have contributed equally to this work and share last authorship

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