Background: Depression is a significant health concern among children and adolescents. Previous epidemiological studies on depressive symptoms in this population have yielded inconsistent findings. This study aims to systematically estimate the prevalence of depressive symptoms among Chinese children and adolescents. Method: A comprehensive literature search was conducted in both English (PubMed, EMBASE) and Chinese (China National Knowledge Infrastructure, WANFANG) databases from their inception until October 15, 2024. This meta-analysis employed a random-effects model to estimate the pooled prevalence of depressive symptoms. Results: A total of 439 eligible studies, comprising 1,497,524 participants, were included in the analysis. The pooled point prevalence of depressive symptoms among children and adolescents was found to be 26.17% (95% CI 25.00–27.41%), with significant heterogeneity among studies (I² = 100%, p < 0.001). The most commonly used scales were the SDS and CES-D; the SDS reported a higher prevalence (28.80%, 95% CI 26.88–30.85%) compared to the CES-D (24.50%, 95% CI 22.49–26.68%). There was no clear temporal trend in the prevalence of depressive symptoms over time (r = 0.03, P = 0.74). The highest pooled prevalence was observed in high school students (28.23%, 95% CI 25.58–31.15%), followed by undergraduate students (27.72%, 95% CI 25.79–29.79%) and middle school students (24.15%, 95% CI 21.61–27.00%). Among the provinces, Inner Mongolia exhibited the lowest prevalence (18.43%, 95% CI 11.98–28.36%), while Qinghai and Tibet had the highest rates at 54.19% and 47.50%, respectively, although only two and one study were included for these regions. Conclusions: The detection rate of depressive symptoms in this study aligns closely with global rates for children and adolescents. High school students exhibit a higher prevalence of depressive symptoms compared to other age groups, highlighting the need for effective interventions targeted at this population. There was no clear temporal trend in the prevalence of depressive symptoms. Additionally, the choice of measurement tool is a critical aspect of epidemiological research; standardizing these measurements is essential for enhancing data comparability across studies. Trial Registration International Prospective Register of Systematic Reviews: No. CRD42023455604.

Objective: The American Academy of Pediatrics updated Clinical Practice Guidelines (CPG) for screening high blood pressure (HBP) in children and adolescents in 2017. This study aimed to assess differences in HBP classification applying this updated HBP definition in a large sample of Chinese youth. Methods: Data from 50 336 youth aged 6–17 participating in the 2013 Chinese national survey were analyzed. HBP was diagnosed according to the established (Fourth Report) and updated (2017 CPG) definitions. The associations between HBP with BMI, height, early life factors and behavioral factors were investigated using logistic regression models. Results: Applying the CPG definition, 16.7% of children (6–12 years) and 7.9% of adolescents (13–17 years) had HBP, compared with 10.8 and 6.3% applying the Fourth Report definition. Prevalence estimates for HBP differed the greatest for boys, children aged 11, those with high BMI, and those of tall stature. The odds ratios (ORs) for HBP with BMI, height, hip and waist circumference, early life factors and behavioral factors were comparable for the two definitions. Conclusion: The new criteria for HBP in young people will lead healthcare providers to diagnose more children as hypertensive. Notably, associations between HBP with BMI and other medical and behavioral factors remained strong, supporting validity of the new definition.

Background: We aimed to assess the associations between adiposity distribution and cardiometabolic risk factors among overweight and obese adults in China, and to demonstrate the sex differences in these associations. Methods: A total of 1221 participants (455 males and 766 females) were included in this study. Percentage of body fat (PBF) of the whole body and regional areas, including arm, thigh, trunk, android, and gynoid, were measured by the dual-energy X-ray absorptiometry method. Central adiposity was measured by waist circumference. Clustered cardiometabolic risk was defined as the presence of two or more of the six cardiometabolic risk factors, namely, high triglyceride, low high density lipoprotein, elevated glucose, elevated blood pressure, elevated high sensitivity C-reactive protein, and low adiponectin. Linear regression models and multivariate logistic regression models were used to assess the associations between whole body or regional PBF and cardiometabolic risk factors. Results: In females, except arm adiposity, other regional fat (thigh, trunk, android, gynoid) and whole-body PBF are significantly associated with clustered cardiometabolic risk, adjusting for age, smoking, alcohol drinking, physical activity, and whole-body PBF. One-SD increase in Z scores of the thigh and gynoid PBF were significantly associated with 80 and 78% lower odds of clustered cardiometabolic risk (OR: 0.20, 95%CI: 0.12–0.35 and OR: 0.22, 95%CI: 0.12–0.41). Trunk, android and whole-body PBF were significantly associated with higher odds of clustered risk with OR of 1.90 (95%CI:1.02–3.55), 2.91 (95%CI: 1.75–4.85), and 2.01 (95%CI: 1.47–2.76), respectively. While in males, one-SD increase in the thigh and gynoid PBF are associated with 94% (OR: 0.06, 95%CI: 0.02–0.23) and 83% lower odds (OR: 0.17, 95%CI: 0.05–0.57) of clustered cardiometabolic risk, respectively. Android and whole-body PBF were associated with higher odds of clustered cardiometabolic risk (OR: 3.39, 95%CI: 1.42–8.09 and OR: 2.45, 95%CI: 1.53–3.92), but the association for trunk PBF was not statistically significant (OR: 1.16, 95%CI: 0.42–3.19). Conclusions: Adiposity distribution plays an important role in the clustered cardiometabolic risk in participants with overweight and obese and sex differences were observed in these associations. In general, central obesity (measured by android PBF) could be the best anthropometric measurement for screening people at risk for CVD risk factors for both men and women. Upper body fat tends to be more detrimental to cardiometabolic health in women than in men, whereas lower body fat is relatively more protective in men than in women.

The association between vegetable intake and blood pressure (BP) in adolescents is still inconsistent, and the description of the recommended daily vegetable consumption is abstract and nonfigurative. Here we aimed to investigate the association between vegetable consumption and BP and further look for a simple way to describe a satisfactory level of daily vegetable consumption for adolescents. We recruited 18,757 adolescents, aged 13–17 years, from seven provinces in China in 2013. A standard physical examination, including height, weight and BP was conducted. Information regarding vegetable intake was collected by questionnaire, and one serving of vegetables was defined as the size of an adult’s fist. Multivariable linear and logistic regression models were used for analysis after adjusting for covariates. Approximately 12.2%, 38.0%, 28.7%, and 21.1% of the adolescents reported daily vegetable consumption of <1, 1~2, 2~3, and ≥3 servings, respectively. Adolescents whose daily vegetable consumption was ≥3 servings showed a lower risk of high blood pressure (HBP) (OR = 0.74, 95%CI: 0.58~0.94, p = 0.013) compared to those with daily vegetable consumptions of < 1 serving. When stratified by body mass index (BMI), in overweight adolescents, participants with 2~3 or ≥3 servings/day had an OR of 0.66 (95%CI: 0.45~0.97) or 0.63 (95%CI: 0.42~0.95) compared with the reference group. Daily vegetable intake of at least three servings (three adult’s fists) is associated with a lower HBP risk in adolescents, which leads to a simple message: “consuming at least three fists of vegetables every day will improve your blood pressure profile”.

China is confronted with a “double burden” of underweight and overweight/obesity in children and adolescents. This study aimed to investigate the prevalence and correlates of meeting 24 h movement and dietary guidelines among Chinese children and adolescents. Further, the study aimed to examine the association of meeting 24 h movement and dietary guidelines with weight status in Chinese children and adolescents. A total of 34,887 Chinese children and adolescents were involved. Only 2.1% of participants met the 24 h movement guidelines. Compared to those who met all three 24 h movement guidelines, those who only met the sleep duration guideline was significantly associated with a higher risk of underweight (p < 0.05), and those who only met the moderate-to-vigorous physical activity, or screen time guidelines were significantly associated with a higher risk of overweight/obesity (p < 0.05). Compared with those meeting the dietary guidelines, those who did not meet the soft drink intake guideline had a significantly lower risk of underweight (p < 0.05), those who did not meet the fruit intake guideline had a significantly lower risk of overweight/obesity (p < 0.05), and those who did not meet the milk intake guideline showed a significantly higher risk of overweight/obesity (p < 0.001). These findings indicate a significant association between meeting the 24 h movement and dietary guidelines and weight status among Chinese children and adolescents.

Data on prevalence and characteristics of different high blood pressure subtypes are lacking among Chinese children. Regarding the mechanistic differences between isolated systolic high blood pressure and isolated diastolic high blood pressure and their different impact on end organ diseases, it is necessary to examine the prevalence of different high blood pressure subtypes in Chinese children and explore their associations with adiposity. Data were derived from the baseline data of a multi-centered cluster randomized controlled trial involving participants from China. High blood pressure was defined according to age-, gender- and height-specific 95th percentile developed by the National High Blood Pressure Education Program Working Group. Body mass index was used to classify underweight, normal weight, overweight and obesity. The prevalence of HBP was 10.2% and 8.9% for boys and girls, respectively. Isolated systolic high blood pressure is the dominant high blood pressure subtype among Chinese boys aged 6–17 years and girls aged 12–17 years, while isolated diastolic high blood pressure was the most common high blood pressure subtype in girls aged 6–11 years. In boys, the status of overweight doubled the risk of isolated systolic high blood pressure (95% CI, 1.73, 2.31; P < 0.001) compared with the normal weight group, and the risk for obese children was 4.32 (95% CI, 3.81, 4.90; P < 0.001). The corresponding odds ratios in girls were 2.04 (95% CI, 1.68, 2.48, P < 0.001) for overweight, and 4.0 (95% CI, 3.36, 4.76, P < 0.001) for obesity. Similar patterns were also observed in the association between combined systolic and diastolic high blood pressure and adiposity. The distribution of high blood pressure subtypes in boys differed from those in girls, and boys with adiposity showed a higher risk of high blood pressure than their female counterpart. Difference in strength of association between isolated diastolic high blood pressure and isolated systolic high blood pressure with body mass index was also found. These results may aid current strategies for preventing and controlling pediatric hypertension.