With the increasing rate of overweight and obesity in children worldwide, adiposity rebound(AR)closely related to obesity has become the spotlight, and early AR phase has a broad impact on pubertal development in girls, but the specific mechanism of action isn't very clear.This paper is review of the prevalence of early AR at home and abroad, and its influencing factors, the impact of AR on the adolescent development of girls and related mechanisms, to identify high-risk individuals with early AR, early AR to identify early adolescent development, and take early intervention measures to promote children's health.
Female ; Adolescent ; Child ; Humans ; Adiposity ; Pediatric Obesity/epidemiology* ; Adolescent Development ; Body Mass Index ; Overweight/epidemiology*

Objective: To examine the independent and combined effects of pre-pregnancy BMI and gestational diabetes (GDM) on early adiposity rebound (AR) timing in children. Methods: Based on the "Ma'anshan Birth Cohort Study", 2 896 eligible maternal and infant pairs were recruited. In the cohort, we collected pre-pregnancy height, weight, 24 to 28 weeks GDM diagnosis, follow-up at 42 days, three months, six months, nine months of age, and every six months after one year of age, and continuously followed up to 6 years old, and obtained the child's length/height, weight, and other data. The intensity of the association between pre-pregnancy BMI, GDM, and early AR timing was analyzed by the multivariate logistic regression model. Multiplication and additive models were used to analyze how pre-pregnancy BMI and GDM influenced early AR timing in children. Results: The prevalence of underweight, average weight, overweight, and obesity before pregnancy were 23.2% (672), 66.4% (1 923), 8.7% (251), and 1.7% (50). The prevalence of GDM was 12.4%. We found that 39.3% of children had AR, and the average age at AR was (4.38±1.08). The results of multifactorial logistic regression analysis showed that pre-pregnancy overweight (OR=1.67,95%CI:1.27-2.19), pre-pregnancy obesity (OR=3.05,95%CI:1.66-5.56), and maternal GDM (OR=1.40,95%CI:1.11-1.76) were risk factors for early AR timing in children. In contrast, pre-pregnancy underweight (OR=0.60,95%CI:0.49-0.73) was a protective factor for early AR timing in children. Compared with the different effects of pre-pregnancy overweight/obesity and maternal GDM alone, the combined effect caused a higher risk of early AR timing in children, with OR values (95%CI) were 2.03 (1.20-3.44), 3.43 (1.06-11.12), respectively. The multiplication and additive models showed no interaction between pre-pregnancy BMI and GDM-influenced early AR timing in children. Conclusion: Higher pre-pregnancy BMI and maternal GDM are the independent risk factors for the early AR timing in children, and the co-occurrence of the two is higher risks, but there was no statistical interaction.
Child ; Infant ; Female ; Pregnancy ; Humans ; Adiposity ; Diabetes, Gestational/epidemiology* ; Overweight/epidemiology* ; Thinness ; Cohort Studies ; Body Mass Index ; Obesity

BACKGROUND: Little is known on how context-specific sedentary behaviors (SB) affect adiposity. This study aimed to investigate compositional associations between context-specific SB and adiposity and estimate the differences in adiposity associated with replacing school and out-of-school SB with physical activity (PA). METHODS: This study included 336 children and adolescents. Time spent in SB and PA was estimated using multi-day 24-hour raw accelerometer data. SB and PA were specified for school and out-of-school times. Fat mass percentage (FM%) and fat mass index (FMI) were used as adiposity indicators. A compositional isotemporal substitution model was used to estimate differences in adiposity associated with one-to-one reallocations of time from context-specific SB to PA. RESULTS: Participants spent approximately two thirds of their school and out-of-school time being sedentary. Relative to the remaining 24-h movement behaviors, significant associations between out-of-school SB and adiposity were found in both boys (β CONCLUSIONS A reduction of out-of-school SB in favor of light PA should be advocated as an appropriate target for interventions and strategies to prevent childhood obesity.
Accelerometry ; Adiposity ; Adolescent ; Child ; Czech Republic ; Exercise ; Female ; Humans ; Male ; Schools ; Sedentary Behavior

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*

BACKGROUND: Emerging evidence implicates excess weight as a potential risk factor for hearing loss. However, this association remained inconclusive. Therefore, we aimed to systematically and quantitatively review the published observational study on the association between body mass index (BMI) or waist circumference (WC) and hearing loss. METHODS: The odds ratios (ORs) or relative risks (RRs) with their 95% confidence intervals (CIs) were pooled under a random-effects model. Fourteen observational studies were eligible for the inclusion in the final analysis. RESULTS: In the meta-analysis of cross-sectional studies, the ORs for prevalent hearing loss were 1.10 (95% CI 0.88, 1.38) underweight, 1.14 (95% CI 0.99, 1.32) for overweight, OR 1.40 (95% CI 1.14, 1.72) for obesity, 1.14 (95% CI 1.04, 1.24) for each 5 kg/m increase in BMI, and 1.22 (95% CO 0.88. 1.68) for higher WC. In the meta-analysis of longitudinal studies, the RRs were 0.96 (95% CI 0.52, 1.79) for underweight, 1.15 (95% CI 1.04, 1.27) for overweight, 1.38 (95% CI 1.07, 1.79) for obesity, 1.15 (95% CI 1.01, 1.30) for each 5 kg/m increase in BMI, and 1.11 (95% CI 1.01, 1.22) for higher WC. CONCLUSIONS In summary, our findings add weight to the evidence that elevated BMI and higher WC may be positively associated with the risk of hearing loss.
Adiposity ; Adult ; Aged ; Aged, 80 and over ; Body Mass Index ; Female ; Hearing Loss ; epidemiology ; etiology ; Humans ; Male ; Middle Aged ; Odds Ratio ; Prevalence ; Risk Factors ; Waist Circumference ; Young Adult

We aimed to examine associations between muscle strength and obesity and serum lipid profile in Ravansar Non-Communicable Disease (RaNCD) cohort study. This study was conducted on 6,455 subjects aged 35–65 years old from baseline data of RaNCD in Iran. The associations between grip strength and adiposity measurements were explored using linear regression with adjustment for age, height, smoking status, alcohol intake, social class, and prevalent disease. The mean of body mass index (BMI) and muscle strength was 27.2 ± 4.6 kg/m² and 33.3 ± 11.5, respectively. Muscular strength increased with increasing BMI and waist circumference (WC) in both sexes. Multivariate regression analysis revealed a 3.24 (95% confidence interval [CI], 2.29, 4.19) kg difference between BMI in top and bottom in men, and 1.71 (95% CI, 0.98, 2.34) kg/m² in women. After multivariable adjustment, a difference of 2.04 (95% CI, 1.12, 2.97) kg was observed between the top and bottom WC quartiles in men and 1.25 (95% CI, 0.51, 1.98) kg in women. In men, with increase of low-density lipoprotein and cholesterol, the mean muscle strength was significantly increased. Muscle strength may be associated with body composition and lipid profiles. Muscle strength can be an appropriate indicator for predicting some of the problems caused by body composition disorders, which requires further longitudinal studies.
Adiposity ; Body Composition ; Body Mass Index ; Cholesterol ; Cohort Studies ; Female ; Hand Strength ; Humans ; Intra-Abdominal Fat ; Iran ; Linear Models ; Lipoproteins ; Longitudinal Studies ; Male ; Muscle Strength ; Obesity ; Obesity, Abdominal ; Smoke ; Smoking ; Social Class ; Waist Circumference

BACKGROUND: Obesity is a risk factor for metabolic abnormalities. We investigated the relationship of adiponectin levels and visceral adiposity with insulin resistance and β-cell dysfunction. METHODS: This cross-sectional study enrolled 1,347 participants (501 men and 846 women aged 30–64 years) at the Cardiovascular and Metabolic Diseases Etiology Research Center. Serum adiponectin levels and visceral fat were measured using enzyme-linked immunosorbent assay kits and dual-energy X-ray absorptiometry, respectively. Insulin resistance was evaluated using the homeostatic model assessment of insulin resistance (HOMA-IR) and Matsuda insulin sensitivity index. β-cell dysfunction was evaluated using the homeostatic model assessment of β-cell function (HOMA-β), insulinogenic index, and disposition index. RESULTS: Regarding insulin resistance, compared with individuals with the highest adiponectin levels and visceral fat mass < 75th percentile, the fully adjusted odds ratios (ORs) for HOMA-IR ≥ 2.5 and Matsuda index < 25th percentile were 13.79 (95% confidence interval, 7.65–24.83) and 8.34 (4.66–14.93), respectively, for individuals with the lowest adiponectin levels and visceral fat ≥ 75th percentile. Regarding β-cell dysfunction, the corresponding ORs for HOMA-β< 25th percentile, insulinogenic index < 25th percentile, and disposition index < 25th percentile were 1.20 (0.71–2.02), 1.01 (0.61–1.66), and 1.87 (1.15–3.04), respectively. CONCLUSION: Low adiponectin levels and high visceral adiposity might affect insulin resistance and β-cell dysfunction.
Absorptiometry, Photon ; Adiponectin* ; Adiposity ; Cross-Sectional Studies ; Enzyme-Linked Immunosorbent Assay ; Female ; Humans ; Insulin Resistance* ; Insulin* ; Intra-Abdominal Fat* ; Male ; Metabolic Diseases ; Obesity ; Odds Ratio ; Risk Factors

BACKGROUND: The prevalence of metabolic syndrome (MetS) is increasing, and obesity, insulin resistance, and inflammation are the known risk factors. However, results of previous studies regarding the relationship between MetS and inflammation have not been consistent. This study aimed to identify the associations between C-reactive protein (CRP) and MetS and its components in obese and non-obese men and women. METHODS: This was a cross-sectional study based on the 6th Korea National Health and Nutrition Examination Survey (2015), and a nationally representative sample of 3,013 Korean adults aged 40–78 years were included. Those with cardiovascular disease, cancer, CRP level >10 mg/L, white blood cell count >10,000/mm3, chronic kidney disease, and lung/liver disease were excluded. RESULTS: Approximately 11.0%, 50.0%, 8.4%, and 48.8% of non-obese men, obese men, non-obese women, and obese women presented with MetS (P<0.001), respectively. In all four groups, those who presented with MetS or its components showed a higher high-sensitivity (hs-CRP) average than those without. Multivariate regression analysis showed the increased risk of developing MetS with higher quartiles of hs-CRP level in obese (3rd and 4th quartiles: odds ratios [ORs], 3.87 and 2.57, respectively) and non-obese women (4th quartile: OR, 2.63). The different components also showed increased ORs in the four groups. However, no statistically significant trend in the relationship was found in men. CONCLUSION: Low-grade inflammation may increase the risk of MetS in Korean women independent of adiposity. However, due to the cross-sectional design of the present study, further studies must be conducted to identify the causal relationship between inflammation and metabolic disorders.
Adiposity ; Adult ; C-Reactive Protein ; Cardiovascular Diseases ; Cross-Sectional Studies ; Female ; Humans ; Inflammation ; Insulin Resistance ; Korea ; Leukocyte Count ; Male ; Nutrition Surveys ; Obesity ; Odds Ratio ; Prevalence ; Renal Insufficiency, Chronic ; Risk Factors

BACKGROUND/AIMS: To examine whether visceral adiposity serves as a risk factor for colorectal cancer (CRC) and colorectal adenomas. METHODS: Two hundred healthy subjects, 200 patients with colorectal adenoma, and 151 patients with CRC (46 with early-stage and 105 with advanced-stage cancers) were enrolled at a tertiary referral hospital. All subjects underwent colonoscopy, and had laboratory data, and computed tomography (CT) scan available for abdominal fat measurement. An abdominal CT scan taken 1 to 4 years (mean interval, 20.6 months) before the diagnosis of CRC was also available in the 42 CRC patients. RESULTS: The mean areas of visceral adipose tissue (VAT) areas in the control, adenoma, early- and advanced-stage CRC groups were 94.6, 116.8, 110.4, and 99.7 cm², respectively (P<0.001). The risk of adenoma positively correlated with VAT area and the visceral-to-total fat ratio (P for trend <0.01), but the risk of CRC did not (P>0.05). The risk of both adenoma and CRC positively correlated with fasting plasma glucose levels (P for trend <0.05). In patients with early-stage cancer (n=17), VAT area decreased when the CT scan at diagnosis was compared with that taken before the diagnosis of CRC, but superficial adipose tissue area did not, so visceral-to-total fat ratio significantly decreased (46.6% vs. 50.7%, respectively, P=0.018) CONCLUSIONS: VAT area is related to the risk of colorectal adenoma. However, VAT decreases from the early stages of CRC. Impaired fasting glucose has a role in colorectal carcinogenesis.
Abdominal Fat ; Adenoma ; Adipose Tissue ; Adiposity ; Blood Glucose ; Carcinogenesis ; Colonoscopy ; Colorectal Neoplasms ; Diagnosis ; Fasting ; Glucose ; Healthy Volunteers ; Humans ; Insulin Resistance ; Insulin ; Intra-Abdominal Fat ; Obesity ; Risk Factors ; Tertiary Care Centers ; Tomography, X-Ray Computed

BACKGROUND: Visceral adiposity index (VAI) was developed to estimate visceral fat, and its association with various diseases including cardiovascular disease, insulin resistance, and fatty liver has been revealed. The Chinese VAI (CVAI) has been newly developed in China. This study aimed to compare the VAI and CVAI for coronary artery calcification by using the coronary artery calcium score (CACs)-a predictable index of asymptomatic atherosclerosis.METHODS: We conducted a cross-sectional study that included 66,011 participants (76.3% male and 23.7% female participants) visiting an university hospital for medical check-ups between January 2014 and December 2016. A receiver operating characteristic curve analysis was performed and the area under the curve (AUC) was calculated to compare the concordance of the CACs and the VAI, CVAI, waist circumference, body mass index, triglycerides, and high-density lipoprotein cholesterol.RESULTS: In all participants, the AUC for the CVAI was the largest, while that for the VAI was fourth among all the indices (AUC(CVAI)=0.653, AUC(VAI)=0.592). The AUC for the CVAI was the largest among the indices in both sexes (female AUC(CVAI)=0.77, male AUC(CVAI)=0.592), while that for the VAI was the second largest (female, AUC(CVAI) 0.771>AUC(VAI) 0.651; male, AUC(CVAI) 0.592>AUC(VAI) 0.564).CONCLUSION: In conclusion, the CVAI showed a higher degree of concordance with CACs, which is an indirect indicator of cardiovascular disease, than the VAI in Korean adults.
Abdominal Fat ; Adiposity ; Adult ; Area Under Curve ; Asian Continental Ancestry Group ; Atherosclerosis ; Body Mass Index ; Calcium ; Cardiovascular Diseases ; China ; Cholesterol ; Coronary Vessels ; Cross-Sectional Studies ; Fatty Liver ; Female ; Humans ; Insulin Resistance ; Intra-Abdominal Fat ; Lipoproteins ; Male ; ROC Curve ; Triglycerides ; Vascular Calcification ; Waist Circumference