Junting Liu

Background/Objectives: To examine the association between metabolic dysfunction–associated fatty liver disease (MAFLD) and bone mineral density in school-aged children. To investigate the association between metabolic dysfunction-associated fatty liver disease (MAFLD) and bone mineral density among school-aged children using a propensity score-matched study design. Methods: A cross-sectional analysis was performed using baseline data from the Beijing Children and Adolescents Health Cohort, with samples collected between September 2022 and May 2023. The study included 5170 children aged 7–18 years. Standardized questionnaires collected behavioral, lifestyle, and dietary data. Anthropometric measurements (height, weight, waist circumference) were obtained to calculate body mass index (BMI). Fasting venous blood samples were analyzed for glucose and lipid profiles. Clinical assessments included pubertal development evaluation, abdominal ultrasound for hepatic steatosis, oscillometric blood pressure measurement, quantitative ultrasound for calcaneal bone mineral density (BMD), and bioelectrical impedance analysis for body fat percentage. MAFLD was diagnosed as hepatic steatosis combined with metabolic abnormalities (assessed via BMI, blood glucose, lipid levels, and blood pressure). Propensity score matching (PSM) was conducted at a 1:3 ratio between the MAFLD and non-MAFLD groups, matching on age, sex, and pubertal stage. Multiple linear regression, conditional logistic regression, and quantile regression (10th–90th percentiles) were used to analyze the association between MAFLD and BMD. Results: Of 5170 participants, 579 had MAFLD and were matched to 1737 non-MAFLD controls (standardized mean differences < 0.001). Children with MAFLD had higher BMI, body fat percentage, and waist circumference, and lower BMD versus controls. Multiple linear regression confirmed a significant negative association between MAFLD and BMD, which was stronger in boys and mid-pubertal children. Conditional logistic regression analyses further showed that boys with MAFLD had a higher risk of reduced BMD. The odds ratios were 1.77 (95% CI: 1.14–2.75) overall, 2.74 (95% CI: 1.56–4.81) among those aged 12–14 years, 1.81 (95% CI: 1.04–3.17) in mid-puberty, and 2.27 (95% CI: 1.17–4.40) in late puberty. Quantile regression revealed the strongest associations between MAFLD and BMD at the 40th–75th percentiles (regression coefficients: −9.5 to −6.7). Conclusions: MAFLD was associated with lower bone mineral density in children, with the strongest associations observed in the lower-to-middle range. Boys, children in mid-puberty, and those with obesity may represent particularly vulnerable groups with respect to bone health in the presence of MAFLD. This highlights the importance of early MAFLD identification and targeted interventions to mitigate long-term skeletal risks. Prospective studies are needed to clarify the causal pathways between MAFLD and pediatric bone health, and future research should integrate multiple factors to elucidate the underlying mechanisms.

Background: Acute pharmaceutical exposure in children can lead to severe health outcomes and contribute to the inefficient use of medical resources. Objective: This study aimed to investigate the clinical characteristics and outcomes of children with acute pharmaceutical exposure to guide the development of preventive strategies and educational initiatives. Methods: We analyzed real-world data from electronic medical records of children admitted to the emergency department of a pediatric hospital for acute pharmaceutical exposure between January 2019 and December 2023. Clinical data, including laboratory test results, interventions, and outcomes, were collected. We compared different exposure events and conducted logistic regression analysis to identify risk factors for hospitalization. Results: A total of 653 children were included in the study. The most common drugs involved in exposure were vitamins (149/653, 22.8%), nonsteroidal anti-inflammatory drugs (92/653, 14.1%), and psychiatric drugs (74/653, 11.3%). In total, 74.3% (469/631) of patients with complete clinical manifestation data showed no symptoms after exposure, and 68.1% (445/653) of patients did not require specific therapy. Toxicology screening was performed for 11% (72/653) of the children, and 69.4% (50/72) of these tests were positive. Independent risk factors for hospitalization included multisystem involvement (odds ratio [OR] 4.575, 95% CI 1.709-12.251, P=.002), psychiatric drugs (OR 6.280, 95% CI 2.189-18.020, P=.001), and intentional poisoning (OR 12.892, 95% CI 2.222-74.796, P=.004). Conclusions: Children with acute pharmaceutical exposure exhibit diverse clinical characteristics and outcomes, with most requiring no specific treatment. However, immediate toxicology screening and clinical intervention are essential for those exhibiting rapidly developing or multisystem symptoms, as well as those with intentional exposure or exposure to known highly toxic substances. Future pediatric health care policies should emphasize safe storage practices and public education on the prevention of pharmaceutical exposure.

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing public health concern among children and adolescents. This study aims to evaluate the diagnostic value of ultrasound derived fat fraction (uDFF) in quantifying liver fat in children with MASLD and to explore the correlation between uDFF values and various anthropometric and biochemical parameters. Methods: This cross-sectional study included 230 children diagnosed with steatotic liver via ultrasound and 38 healthy controls. Physical examinations, laboratory tests, and abdominal ultrasound examination were conducted. Results: The study included 168 boys and 62 girls in MASLD group, with an average age of 9.8 years. Significant differences were observed in waist circumference, alanine aminotransferase (ALT), and aspartate aminotransferase (AST) levels between boys and girls. Among the 230 children with MASLD, 191 in the Grade 1 MASLD group came with a mean uDFF value of 11.52% and 39 in the Grade 2 MASLD group came with a mean uDFF value of 19.10%, and there was a significant difference in the uDFF values when comparing between the two groups (PConclusions: Ultrasound-derived fat fraction technique has high diagnostic value in noninvasive quantitative assessment of hepatic steatosis in children with MASLD and reflects fat metabolism to some extent.

Low skeletal muscle mass has been shown to be a predictor of mortality, but very few studies have focused on the association between appendicular skeletal muscle mass and mortality risk in a large sample. This study aimed to determine the associations of low appendicular skeletal muscle mass with all-cause and cause-specific mortality in an adult population in the United States. Data were retrieved from 21,938 participants aged 20–85 years from the National Health and Nutrition Examination Survey (NHANES) (1999–2006 and 2011–2018) and merged with the Public-use Linked Mortality File of 2018. The appendicular skeletal muscle mass index (kg/m²) was determined by the skeletal muscle mass in the arms and legs (in kg) and divided by the square of the height (in meters) ² (kg/m²). Sex-specific quintiles were then used to categorize the appendicular skeletal muscle mass index. The major outcome in this study was mortality from all causes, and the secondary outcome was mortality from heart disease or cancer. Cox proportional hazards models were used to calculate hazard ratios, and 95% confidence intervals for all-cause and competing risk regression analyses were performed to analyze heart disease mortality and cancer mortality. During a 10.9-year median follow-up, 1632 males and 1253 females died. Compared with those of the 5th quintile of the skeletal muscle index, the fully adjusted HRs (95% CIs) of all-cause mortality were 0.81 (0.72–0.92), 0.63 (0.52–0.76), 0.52 (0.43–0.63), and 0.65 (0.52–0.81) for the 1st, 2nd, 3rd, and 4th quintiles of the skeletal muscle index, respectively. A 20-percentile increase in the appendicular skeletal muscle index was associated with a lower risk of all-cause mortality (HR, 0.86; 95% CI, 0.81–0.91) (P < 0.001 for trend) and a lower risk of cancer mortality (HR, 0.87; 95% CI, 0.78–0.96) (P = 0.009 for trend). High appendicular skeletal muscle mass was associated with decreased all-cause mortality and cancer mortality in adults, and interventions aimed at maintaining appropriate appendicular skeletal muscle mass may help prevent premature death.

Background: There is limited research providing an overall understanding of bone mineral density (BMD) changes throughout different stages of life. This study aimed to investigate the pattern of BMD changes across childhood, adolescence, adulthood, and old age, as well as exploring the critical time of peak BMD (PBMD). Methods: Participants of three major ethnicities from National Health and Nutrition Examination Survey 1999 to 2018 were involved: 46,381 and 20,944 participants aged 8–85 years old were included in the Lumbar spine BMD (LSBMD) and femoral neck BMD (FNBMD) studies, respectively. BMD was measured using dual-energy X-ray absorptiometry. The generalized additive model was used to construct smoothed percentile curves. Results: Both males and females experienced a sharp increase in LSBMD during puberty, with females reaching their PBMD earlier than males. Females’ LSBMD remained higher than males’ before the age of approximately 50, except for Non-Hispanic Blacks. For males, LSBMD reached a plateau at around 30 years old after reaching the peak value. Females exhibited two peak points on the fitted curves, with the second PBMD occurring around 36–37 years old. Ethnic variations were observed, with Non-Hispanic Blacks displaying the highest BMD levels at all ages. Non-Hispanic Whites and Mexican Americans had lower BMD levels, with Mexican Americans generally exhibiting the lowest BMD. FNBMD reached its peak earlier than LSBMD, and males consistently had higher FNBMD than females. Conclusions: This nationally representative study contributes to the understanding of BMD changes across the lifespan, and might provide guidance for bone health interventions in different population groups.

The objective of this study is to explore the associations between obesity, body composition, and the self-reported risk of obstructive sleep apnea (OSA) and to examine whether the risk of OSA is related to metabolic abnormalities in children and adolescents aged 6–17 years. Utilizing data from the 2022 to 2023 Beijing Children and Adolescents Health Cohort baseline survey, 5000 school-aged participants were analyzed. OSA risk was assessed via the Pediatric Sleep Questionnaire, with anthropometric and body composition measurements taken. Metabolic markers included blood pressure, lipid levels, blood glucose, and uric acid. Associations were analyzed using logistic regression and generalized linear models. Results showed that 88.6% were low-risk and 11.4% were high-risk for OSA. Overweight (aOR 1.53, 95% CI 1.22–1.92), obesity (aOR 1.94, 95% CI 1.57–2.40), and abdominal obesity (aOR 1.59, 95% CI 1.31–1.93) significantly increased OSA risk. High fat mass was a critical factor, while muscle mass was not, especially in those who were overweight and obese. Associations of OSA risk with metabolic abnormalities were non-significant after adjusting for BMI. Our research highlights the significant associations of obesity and body composition with OSA risk, with child BMI influencing the relationship between OSA and metabolic abnormalities. Future research should explore causative relationships and the enduring impacts of OSA on metabolic health in children.

The aim of the study was to investigate the association between serum ferritin and hypertension among American adults from National Health and Nutrition Examination Survey (NHANES) 1999 to 2018. A total of 16,125 participants were included. Weighted logistic regression and subgroup analyses were performed to explore the association. We found that serum ferritin was closely correlated to hypertension. Individuals with high serum ferritin were more likely to have higher systolic or diastolic blood pressure (SBP, DBP) than those with lower serum ferritin. Restricted cubic spline showed a significant non-linear association between serum ferritin and SBP/DBP. Higher level of serum ferritin (Q3 74.1–147 μg/L and Q4 > 147 μg/L) was found to have positive association with high SBP [Q3 (OR: 1.246, 95% CI:1.020–1.523), Q4 (OR: 1.354, 95% CI:1.096–1.674)], and hypertension [Q3 (OR: 1.283, 95% CI:1.099–1.499), Q4 (OR: 1.424, 95% CI:1.197–1.63)] in the whole population. In people aged between 20 and 60, subjects with high serum ferritin were significantly associated with a higher risk of hypertension, but in those over 60, the relationship between serum ferritin level and hypertension is negative. A non-linear association between serum ferritin and SBP, as well as DBP, was discovered. There was age difference in association between serum ferritin and hypertension in American adults, and further researches were needed to understand the mechanisms behind the difference.

We explored the joint effects of different metabolic obesity phenotypes on all-cause and disease-specific mortality risk among the American population. Data were obtained from the National Health and Nutrition Examination Survey (NHANES) 1999–2018. Mortality outcome data were from mortality files linked to National Death Index record and follow-up information was up to December 31, 2019. 50,013 participants were finally included. Four metabolic obesity phenotypes were defined based on obesity and metabolic status: metabolically healthy obese (MHO), metabolically unhealthy obese (MUO), metabolically healthy non-obese (MHNO), and metabolically unhealthy non-obese (MUNO). Population-weighted Cox proportional hazards models were used to explore the all-cause and disease-specific mortality risk of metabolic obesity phenotypes. The all-cause mortality risk of MUO and MUNO was significantly higher than MHNO. MUNO was associated with a significantly increased risk of death from heart disease (HR: 1.40, 95% CI 1.16–1.70), hypertension (HR: 1.68, 95% CI 1.34–2.12), diabetes (HR: 2.29, 95% CI 1.67–3.15), and malignant neoplasms (HR:1.29, 95% CI 1.09–1.53). Metabolic unhealth significantly increased the risk of all-cause mortality, regardless of obesity status. Among individuals with metabolic unhealthy status, obesity significantly reduced the risk of all-cause mortality (HR: 0.91, 95% CI 0.85–0.98). Our study highlights the importance of identifying and characterizing metabolic obesity phenotypes in obese and metabolically abnormal patients, as well as healthy adults. Comprehensive evaluation of obesity and metabolic status is necessary to adopt appropriate interventions and treatment measures and maximize patient benefit.

Objectives: To investigate the relationship between antibiotic exposure and asthma in adults in the United States.Methods: Data was obtained from the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2018. A total of 51,124 participants were included, excluding those who were aged < 20 years, female participants who were pregnant, and individuals who did not complete the prescription medications questionnaire and the medical conditions questionnaire regarding asthma status. Antibiotic exposure was defined as the utilization of antibiotics within the past 30 days, categorized based on the Multum Lexicon Plus therapeutic classification system. Asthma was defined as having a history of asthma or having an asthma attack or wheezing symptoms in the past year.Results: The risk of asthma was found to be 2.557 (95% CI: 1.811, 3.612), 1.547 (95% CI: 1.190, 2.011) and 2.053 (95% CI: 1.344, 3.137) times greater in participants who had used macrolide derivatives, penicillin and quinolones in the past 30 days, respectively, compared with those not using antibiotics. After adjusting for demographic covariates and asthma-related factors, only macrolides derivatives were significantly associated with asthma in the 20–40 and 40–60 age groups. For individuals over 60 years old, quinolones were significantly associated with asthma. The effect of different types of antibiotic with asthma varied in male and female populations. Moreover, higher socioeconomic status, greater BMI, younger age, smoking habits, history of infection, chronic bronchitis, emphysema, and family history of asthma were all identified as risk factors for asthma.Conclusion: Our study indicated that three types of antibiotics were significantly associated with asthma in different subgroups of the population. Therefore, the use of antibiotics should be more strictly regulated.

To assess the relationship between fat mass percentage (FMP) and glucose metabolism in children aged 0–18 years we performed a systematic review of the literature on Medline/PubMed, SinoMed, Embase and Cochrane Library using the PRISMA 2020 guidelines up to 12 October 2021 for observational studies that assessed the relationship of FMP and glucose metabolism. Twenty studies with 18,576 individuals were included in the meta-analysis. The results showed that FMP was significantly associated with fasting plasma glucose (FPG) (r = 0.08, 95% confidence interval (CI): 0.04–0.13, p < 0.001), fasting plasma insulin (INS) (r = 0.48, 95% CI: 0.37–0.57, p < 0.001), and homeostasis model assessment (HOMA)- insulin resistance (IR) (r = 0.44, 95% CI: 0.33–0.53, p < 0.001). The subgroup analysis according to country or overweight and obesity indicated that these associations remained significant between FMP and INS or HOMA-IR. Our results demonstrated that there is a positive relationship between FMP and FPG. Moreover, subgroup analysis according to country or overweight and obesity indicated that FMP is significantly associated with INS and HOMA-IR. This is the first known systematic review and meta-analysis to determine the associations of FMP with glucose metabolism in children and adolescents.