Objective: To explore the effect of three interventions including caloric restriction, rope-skipping exercise and caloric restriction combined with rope-skipping exercise on cardiometabolic risk factors in overweight or obese college students. Methods: This study was a pilot randomized controlled trial. Overweight or obese students who met the inclusion criteria were recruited at Sun Yat-sen University in September 2019 and were randomly divided into four groups: caloric restriction group (CR), rope-skipping group (RS), combined group (CR-RS) and control group (CT). The intervention in each group lasted 8 weeks, specifically: the daily energy intake of CR was 100% to 110% of the basal metabolic energy; RS was instructed to rope three times a week, and CR-RS combined caloric restriction with rope-skipping. At the baseline and end of 8-week intervention, basic information, anthropometric indicators and fasting vein blood of students were collected. Paired t test and Wilcoxon paired-samples signed rank test were used for comparison before and after intervention, and analysis of covariance was used for comparison between groups after intervention. Results: A total of 29 students completed the trial and were included in the final analysis (7, 9, 7 and 6 students in CR, RS, CR-RS and CT, respectively). The mean age of students were (19.00±1.00) years, including 11 males and 18 females. The baseline characteristics of four groups were comparable. After 8 weeks of intervention, compared with CT, there was an increase in the body fat percentage and fat mass index in CR and CR-RS (P<0.05). Insulin level decreased in CR-RS (P<0.05). Systolic blood pressure in CR and diastolic blood pressure in CR-RS were higher (P<0.05). Compared with baseline, fat mass index decreased in CR (P<0.05), while body weight, BMI, and fat mass index decreased in CR-RS (P<0.05). Conclusion: It is suggested that the caloric restriction alone and calorie restriction combined with rope-skipping exercise can benefit overweight or obese college students with cardiometabolic risk factors.
Adolescent ; Adult ; Caloric Restriction ; Cardiometabolic Risk Factors ; Female ; Humans ; Insulins ; Male ; Obesity ; Overweight ; Students ; Weight Loss/physiology* ; Young Adult

BACKGROUND: Given the important repercussions that sociodemographic factors can have on physical activity, especially in the field of leisure, and cardiometabolic risk, it seems relevant to analyze the implications of these variables on the relationship between physical activity in leisure time (LTPA) and cardiometabolic risk. In this sense, the present study aims to verify the moderating role of biologic and socioeconomic factors in the relationship between LTPA and cardiometabolic risk in adolescents in southern Brazil. METHODS: Cross-sectional study that included 1596 adolescents selected at random (58.2% girls), aged between 10 and 17 years. LTPA, biological and socioeconomic factors were assessed using a self-reported questionnaire and the cardiometabolic risk score (total cholesterol/HDL-c ratio, triglycerides, fasting glucose, systolic blood pressure, and waist circumference, considering the participant's age and sex) was included as an outcome. Associations and moderations were tested by multiple linear regression models. RESULTS: It was observed a positive interaction of LTPA and sex (p = 0.048) and LTPA and school system (p = 0.037), and negative interaction of LTPA and skin color (p = 0.040), indicating that these factors were moderators in the relationship between LTPA and clustered cardiometabolic risk score (cMetS) in adolescents. A reduction in cardiometabolic risk was observed according to the increase in weekly minutes of LTPA among boys, non-white adolescents, and students from municipal schools. CONCLUSIONS The association between LTPA and cardiometabolic risk was moderated by sex, skin color, and school system in adolescents from southern Brazil.
Adolescent ; Age Factors ; Brazil/epidemiology* ; Cardiometabolic Risk Factors ; Child ; Cross-Sectional Studies ; Effect Modifier, Epidemiologic ; Exercise ; Female ; Humans ; Leisure Activities ; Male ; Sex Factors ; Skin Pigmentation ; Socioeconomic Factors

BACKGROUND: Tri-ponderal mass index (TMI) has been reported to be a more accurate estimate of body fat than body mass index (BMI). This study aims to compare the effectiveness of TMI and BMI in identifying hypertension, dyslipidemia, impaired fasting glucose (IFG), abdominal obesity, and clustered cardio-metabolic risk factors (CMRFs) in 3- to 17-year-old children. METHODS: A total of 1587 children aged 3 to 17 years were included. Logistic regression was used to evaluate correlations between BMI and TMI. Area under the curves (AUCs) were used to compare discriminative capability among indicators. BMI was converted to BMI- z scores, and accuracy was compared by false-positive rate, false-negative rate, and total misclassification rate. RESULTS: Among children aged 3 to 17 years, the mean TMI was 13.57 ± 2.50 kg/m 3 for boys and 13.3 ± 2.33 kg/m 3 for girls. Odds ratios (ORs) of TMI for hypertension, dyslipidemia, abdominal obesity, and clustered CMRFs ranged from 1.13 to 3.15, higher than BMI, whose ORs ranged from 1.08 to 2.98. AUCs showed similar ability of TMI (AUC: 0.83) and BMI (AUC: 0.85) in identifying clustered CMRFs. For abdominal obesity and hypertension, the AUC of TMI was 0.92 and 0.64, respectively, which was significantly better than that of BMI, 0.85 and 0.61. AUCs of TMI for dyslipidemia and IFG were 0.58 and 0.49. When 85th and 95th of TMI were set as thresholds, total misclassification rates of TMI for clustered CMRFs ranged from 6.5% to 16.4%, which was not significantly different from that of BMI- z scores standardized according to World Health Organization criteria. CONCLUSIONS TMI was found to have equal or even better effectiveness in comparison with BMI in identifying hypertension, abdominal obesity, and clustered CMRFs TMI was more stable than BMI in 3- to 17-year-old children, while it failed to identify dyslipidemia and IFG. It is worth considering the use of TMI for screening CMRFs in children and adolescents.
Adolescent ; Child ; Child, Preschool ; Female ; Humans ; Male ; Body Mass Index ; Dyslipidemias ; East Asian People ; Hypertension ; Obesity, Abdominal ; Pediatric Obesity/diagnosis* ; Cardiometabolic Risk Factors

BACKGROUND: Body mass-independent parameters might be more appropriate for assessing cardiometabolic abnormalities than weight-dependent indices in Asians who have relatively high visceral adiposity but low body fat. Dual-energy X-ray absorptiometry (DXA)-measured trunk-to-peripheral fat ratio is one such body mass-independent index. However, there are no reports on relationships between DXA-measured regional fat ratio and cardiometabolic risk factors targeting elderly Asian men. METHODS: We analyzed cross-sectional data of 597 elderly men who participated in the baseline survey of the Fujiwara-kyo Osteoporosis Risk in Men (FORMEN) study, a community-based single-center prospective cohort study conducted in Japan. Whole-body fat and regional fat were measured with a DXA scanner. Trunk-to-appendicular fat ratio (TAR) was calculated as trunk fat divided by appendicular fat (sum of arm and leg fat), and trunk-to-leg fat ratio (TLR) as trunk fat divided by leg fat. RESULTS: Both TAR and TLR in the group of men who used ≥ 1 medication for hypertension, dyslipidemia, or diabetes ("user group"; N = 347) were significantly larger than those who did not use such medication ("non-user group"; N = 250) (P < 0.05). After adjusting for potential confounding factors including whole-body fat, both TAR and TLR were significantly associated with low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglyceride, fasting serum insulin, and the insulin resistance index in the non-user group and non-overweight men in the non-user group (N = 199). CONCLUSION The trunk-to-peripheral fat ratio was associated with cardiometabolic risk factors independently of whole-body fat mass. Parameters of the fat ratio may be useful for assessing cardiometabolic risk factors, particularly in underweight to normal-weight populations.
Absorptiometry, Photon ; Adiposity/physiology* ; Aged ; Aged, 80 and over ; Biomarkers/metabolism* ; Cardiometabolic Risk Factors ; Cross-Sectional Studies ; Humans ; Intra-Abdominal Fat/diagnostic imaging* ; Japan ; Male ; Osteoporosis/etiology* ; Prospective Studies ; Risk Assessment ; Risk Factors ; Thorax/diagnostic imaging*

Objective: To investigate the epidemiological characteristics and trends of cardiometabolic risk factors in residents aged 18-64 years in 15 provinces (autonomous regions,municipalities) of China, and to analyze the impact of demographic characteristics on cardiometabolic risk factors. Methods: 19 827 adults aged 18-64 from the "China Health and Nutrition Survey" in 2009, 2015 and 2018 were selected as subjects. Using the data of demographic and economic factors, blood biochemical measurements and physical measurements, the trend of detection rates of metabolic risk factors in different years was analyzed by Joinpoint regression model. The association between risk factors and demographic characteristics was analyzed by multinomial logit model. Results: Among all the risk factors, overweight and central obesity had the highest detection rates (36.41% and 39.93%, respectively). In addition, among the three years, the clustering of risk factors was highest in 2015 and decreased slightly in 2018. Joinpoint regression model analysis showed that the detection rates of most metabolic risk factors expressing an overall upward trend from 2009 to 2018 but there was no significantly statistical difference in annual percentage change (APC). Among the risk factors under APC>0, the APC of obesity and diabetes was the largest (APC=5.37%, t=3.26, P=0.190; APC=5.52%, t=7.70, P=0.082), while among the risk factors with APC<0, high hs-CRP appeared as the largest (APC=-6.95%, t=-4.17, P=0.150). Multinomial logit model showed that male had higher risk of developing all metabolic risk factors than female except LDL-C, TC and hs-CRP. The risk of other risk factors except HDL-C in adults aged 45-64 years was higher than that in the younger age group aged 18-44 years, and was more significant in hypertension and elevated HbA1c, which were 4.67 (95%CI:4.07-5.37) times and 3.73 (95%CI:2.91-4.77) times of the younger age group, respectively. Residents living in the eastern areas had the highest risk of obesity, borderline high LDL-C, hypertension, elevated blood glucose and diabetes, and the lowest risk of elevated TG and high hs-CRP. People from the western region had the lowest risk of central obesity, elevated blood pressure and hypertension. Conclusions: In the three years, the detection rate and clustering of most risk factors were the highest in 2015, and there was little change in 2018. Gender, age and geographical distribution were the main influencing factors of cadiometabolic risk factors. It is suggested to adopt targeted prevention strategies and intervention measures to reduce the risk of cardiovascular disease.
Adolescent ; Adult ; C-Reactive Protein ; Cardiometabolic Risk Factors ; China/epidemiology* ; Cholesterol, LDL ; Diabetes Mellitus/epidemiology* ; Female ; Humans ; Hypertension/epidemiology* ; Male ; Middle Aged ; Obesity/epidemiology* ; Obesity, Abdominal ; Prevalence ; Risk Factors ; Young Adult