Differential diagnosis of precocious puberty in girls during the COVID-19 pandemic: a pilot study.

BACKGROUND: To investigate the differential diagnosis of girls aged 6 to 8 years with idiopathic premature thelarche (IPT) and central precocious puberty (CPP) during the COVID-19 pandemic. We explored predicted adult height (PAH) discrepancy to guide appropriate diagnosis and treatment. METHODS: From January 2020 to December 2021, Chinese girls aged 6 to 8 years with precocious puberty were recruited. They were divided into IPT and CPP groups. Clinical characteristics, including height, weight, body mass index (BMI), basal luteinizing hormone (LH), oestradiol, uterine length and volume, follicle numbers (d > 4 mm) and bone age (BA) were recorded. We analysed differential diagnosis and PAH discrepancy in both groups. Binary logistic regression analysis was used to explore risk factors for CPP, and receiver operating characteristic (ROC) curves were generated to evaluate the diagnostic value of related indexes. RESULTS: Sixty patients, including 40 girls with IPT and 20 girls with CPP, were recruited. The prevalence of overweight and obesity in the entire cohort was 25% (15/60) and was significantly higher in IPT than CPP, 32.5% (13/40) vs. 10% (2/20), respectively (P=0.045). There were significant differences in LH, uterine volume, follicle numbers and BA (P<0.05). The impaired PAH of IPT and CPP was 0.01 ± 1.19 SD and 0.62 ± 0.94 SD with significant differences (P=0.047). Logistic regression analysis showed that LH and follicle numbers were independent risk factors for CPP. The ROC curve showed that the area under the curve (AUC) of LH and follicle numbers were 0.823 and 0.697. The sensitivity and specificity of LH with a cut off of 0.285 IU/L were 78.9% and 77.8%. The sensitivity and specificity of follicle numbers with a cut off of 3.5 were 89.5% and 52.8%. CONCLUSION: The prevalence of overweight and obesity in 6- to 8-year-old girls with precocious puberty was high. Auxological data should not be used in the differential diagnosis of IPT and CPP. Basal LH above 0.285 IU/L and follicle numbers greater than 4 were important features suggestive of CPP. PAH was impaired in individuals with CPP, but it was not impaired in individuals with IPT.

Post COVID-19 Lockdown in Ghana: What is the Wellbeing Status of the Young Adults?

INTRODUCTION: Although optimal wellbeing of young adults (YA) is a vital asset for productivity and measurable and sustainable development, there is a dearth of information on the wellbeing status of YA, especially after the COVID-19 lockdown in Ghana. The study has established the post-lockdown wellbeing status of YA in the COVID-19 pandemic epicenters of Ghana. METHODS: The wellbeing status of 1783 (24.49 ± 4.62 year) Ghanaian YA from Kumasi, Accra, and Kasoa (known epicentres of COVID) was assessed in this cross-sectional study. Body mass index (BMI) was calculated, and physical, social, emotional, spiritual and intellectual states were assessed. RESULTS: More females were found to be overweight (315, 17.7%) and obese (160, 9.0%) compared to males. The majority (714; 40.0%) of the young adults were between the ages 25-30 years and overweight, with a mean BMI of 25.46 ± 4.67 kg/m2. Overall, 157 (8.8%) had poor, 755 (42.3%) average, 479 (26.9%) good, while 392 (22.0%) had outstanding wellbeing. Specifically, the average grade was recorded for physical (29.07 ± 6.67), spiritual (29.32 ± 6.80), and intellectual (28.29 ± 6.56), while 'good grade' was obtained for social (32.16 ± 5.13) and emotional (31.54 ± 5.07) dimensions of wellbeing. CONCLUSION: Average Ghanaian YA in the study were overweight (BMI value) and had average wellbeing, which may suggest the risk of cardiovascular diseases. Educational and physical activity interventions with meticulous dietary control and proper understanding of family history, age and genetic factors will help to improve the wellbeing of Ghanaian YA.

Sex-specific associations of fat mass and muscle mass with cardiovascular disease risk factors in adults with type 2 diabetes living with overweight and obesity: secondary analysis of the Look AHEAD trial.

BACKGROUND: Distinguishable sex differences exist in fat mass and muscle mass. High fat mass and low muscle mass are independently associated with cardiovascular disease (CVD) risk factors in people living with type 2 diabetes; however, it is unknown if the association between fat mass and CVD risk is modified by muscle mass, or vice versa. This study examined the sex-specific interplay between fat mass and muscle mass on CVD risk factors in adults with type 2 diabetes living with overweight and obesity. METHODS: Dual-energy X-ray absorptiometry (DXA) measures were used to compute fat mass index (FMI) and appendicular muscle mass index (ASMI), and participants were separated into high-fat mass vs. low-fat mass and high-muscle mass vs. low-muscle mass. A two-way analysis of covariance (ANCOVA: high-FMI vs. low-FMI by high-ASMI vs. low-ASMI) was performed on CVD risk factors (i.e., hemoglobin A1C [A1C]; high-density lipoprotein cholesterol; low-density lipoprotein cholesterol; triglycerides; systolic and diastolic blood pressure; cardiorespiratory fitness, depression and health related-quality of life [HR-QoL]) at baseline and following a 1-year intensive lifestyle intervention (ILI) for females and males separately, with a primary focus on the fat mass by muscle mass interaction effects. RESULTS: Data from 1,369 participants (62.7% females) who completed baseline DXA were analyzed. In females, there was a fat mass by muscle mass interaction effect on A1C (p = 0.016) at baseline. Post-hoc analysis showed that, in the low-FMI group, A1C was significantly higher in low-ASMI when compared to high-ASMI (60.3 ± 14.1 vs. 55.5 ± 13.5 mmol/mol, p = 0.023). In the high-FMI group, there was no difference between high-ASMI and low-ASMI (56.4 ± 12.5 vs. 56.5 ± 12.8 mmol/mol, p = 0.610). In males, only high-FMI was associated with higher A1C when compared to low-FMI (57.1 ± 14.4 vs. 54.2 ± 12.0 mmol/mol, p = 0.008) at baseline. Following ILI, there were significant fat mass by muscle mass interaction effects on changes in the mental component of HR-QoL in males. CONCLUSION: Considering that A1C predicts future CVD, strategies to lower A1C may be especially important in females with low fat and low muscle mass living with type 2 diabetes. Our results highlight the complicated and sex-specific contribution of fat mass and muscle mass to CVD risk factors.