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Objective To explore the relationship between body mass index (BMI) and health-related physical fitness among late adolescent college students, and to provide evidence for adolescent health promotion. MethodsThe data on 30523 first-year college students of Guangxi Normal University were collected from the National Student Physical Fitness Surveillance conducted annually from 2017 to 2021 for examining the association between body mass index (BMI) and health-related physical fitness among the students. Results The mean BMI for all the students aged 18.3 ± 0.3 years was 20.46 ± 2.89 (21.51 ± 3.47 for 7407 males, 20.13 ± 2.59 for 23116 females). Of the male students, 71.8%, 9.1%, 13.3%, and 5.8% were assessed as having normal weight (BMI > 17.8 and < 24.0), underweight (BMI ≤ 17.8), overweight (BMI ≥ 24.0 and < 28.0), and obesity (BMI ≥ 28.0); of the female students, 85.8%, 7.0%, 5.8%, and 1.4% were having normal weight (BMI > 17.1 and < 24.0), underweight (BMI ≤ 17.1), overweight, and obesity; while for all the students, those proportions were 82.4%, 7.5%, 7.6%, and 2.5%, respectively. The physical fitness index (PFI) of the male students with underweight (0.006 ± 2.719), overweight (– 1.823 ± 2.995) or obesity (– 4.621 ± 3.268) were significantly lower than that of the students with normal weight (0.708 ± 2.946) (all P < 0.01); the PFI of the female students with overweight (– 1.677 ± 2.944) or obesity (– 3.787 ± 3.425) were significantly lower than that of the students with normal weight (0.177 ± 2.974) (both P < 0.01). There exists a quadratic curve relationship between PFI and BMI for the students, with the maximum PFI values of 0.845 and 0.215 corresponding to the BMI of 18.0 and 17.3 for the male and female students. The results of binary logistic regression analysis showed that compared to those with normal weight, the underweight, overweight, and obese students were at an increased risk of having low PFI, with the odds ratios (95% confidence interval) of 1.82 (1.49 – 2.22), 5.20 (4.09 – 6.61), and 16.81 (9.21 – 30.68) for the males and 1.21 (1.07 – 1.36), 3.10 (2.59 – 3.70), and 8.13 (4.76 – 13.91) , respectively. ConclusionIn late adolescent college students, maintaining a normal BMI is the basis for ensuring physical fitness; both underweight and overweight could exert an adverse effect on health-related physical fitness and the adverse effect of overweight and obesity are much stronger.

Aims: To evaluate the effects of different durations of continuous aerobic exercise on prediabetic patients. Materials and methods: The research encompassed randomized controlled trials that examined how various durations of aerobic exercise training affected outcomes related to Body Mass Index (BMI), Fasting blood glucose (FBG), 2-hour plasma glucose (2hPG), and glycated hemoglobin (HbA1c) in individuals diagnosed with prediabetes. PubMed, Embase, Web of Science, and the Cochrane Library were searched as of January 7, 2023. The Cochrane Risk of Bias, version 2 (ROB 2) tool was used to assess the risk of bias. Results: A total of 10 RCTs with 815 prediabetic patients were included. The average age of the participants was 56.1 years, with a standard deviation of 5.1 years. Among the participants, 39.2% were male. The interventions consisted of aerobic dance, treadmill running, walking, and a combination of aerobic exercises. The training sessions occurred three or four times per week. In prediabetic patients, aerobic exercise demonstrated a significant reduction in BMI compared to the control group, with a weighted mean difference (WMD) of -1.44 kg/m2 (95% confidence interval [CI] -1.89, -0.98). There was a decrease in FBG levels, with WMD of -0.51 mmol/L (95% CI -0.70, -0.32). Additionally, aerobic training led to significant improvements in 2hPG levels, with a WMD of -0.76 mmol/L (95% CI -1.14, -0.38). Furthermore, prediabetic patients showed a decrease in HbA1c levels after engaging in aerobic training compared to the control group, with a WMD of -0.34% (95% CI -0.45, -0.23). Conclusion: In summary, engaging in aerobic exercise can have a significant positive impact on glycemic levels in individuals with prediabetes. It can also lead to reductions in BMI, FBG, 2hPG, HbA1c, and other relevant indicators. The extent of these improvementsmay vary slightly depending on the duration of the aerobic exercise intervention. [ABSTRACT FROM AUTHOR]