Association between triglyceride glucose-waist height ratio index and cardiovascular disease in middle-aged and older Chinese individuals: a nationwide cohort study.

BACKGROUND: The triglyceride-glucose (TyG) index and its combination with obesity indicators can predict cardiovascular diseases (CVD). However, there is limited research on the relationship between changes in the triglyceride glucose-waist height ratio (TyG-WHtR) and CVD. Our study aims to investigate the relationship between the change in the TyG-WHtR and the risk of CVD. METHODS: Participants were from the China Health and Retirement Longitudinal Study (CHARLS). CVD was defined as self-reporting heart disease and stroke. Participants were divided into three groups based on changes in TyG-WHtR using K-means cluster analysis. Multivariable binary logistic regression analysis was used to examine the association between different groups (based on the change of TyG-WHtR) and CVD. A restricted cubic spline (RCS) regression model was used to explore the potential nonlinear association of the cumulative TyG-WHtR and CVD events. RESULTS: During follow-up between 2015 and 2020, 623 (18.8%) of 3312 participants developed CVD. After adjusting for various potential confounders, compared to the participants with consistently low and stable TyG-WHtR, the risk of CVD was significantly higher in participants with moderate and increasing TyG-WHtR (OR 1.28, 95%CI 1.01-1.63) and participants with high TyG-WHtR with a slowly increasing trend (OR 1.58, 95%CI 1.16-2.15). Higher levels of cumulative TyG-WHtR were independently associated with a higher risk of CVD events (per SD, OR 1.27, 95%CI 1.12-1.43). CONCLUSIONS: For middle-aged and older adults, changes in the TyG-WHtR are independently associated with the risk of CVD. Maintaining a favorable TyG index, effective weight management, and a reasonable waist circumference contribute to preventing CVD.

Association of triglyceride glucose-related parameters with all-cause mortality and cardiovascular disease in NAFLD patients: NHANES 1999-2018.

BACKGROUND: The relationship between the triglyceride-glucose (TyG) index and its derived index, the triglyceride glucose-waist height ratio (TyG-WHtR), with mortality and cardiovascular diseases (CVDs) in patients with non-alcoholic fatty liver disease (NAFLD) remains unclear. METHODS: This study enrolled 6627 adults aged 18 and above diagnosed NAFLD from the National Health and Nutrition Examination Survey (NHANES, 1999-2018). Binary weighted logistic regression analyses, cox proportional hazards model and restricted cubic spline (RCS) were used to analyze the relationship between TyG and TyG-WHtR with all-cause mortality, CVD mortality and CVDs. Mediation analysis explored the mediating role of glycohemoglobin, insulin and hypertension in the above relationships. Meanwhile, the incremental predictive value of the TyG index and TyG-WHtR was further assessed. RESULTS: Except for no significant association between the TyG index and both all-cause mortality and chronic heart failure (CHF), both TyG and TyG-WHtR exhibited significant positive correlations or trends of positive correlation with all-cause mortality, CVD mortality, total-CVD, CHF, coronary heart disease (CHD) and angina pectoris. For all-cause mortality, CVD mortality and CHF, TyG-WHtR was a better predictor than TyG (TyG-WHtR: HR 1.31, 95%CI 1.03-1.66; HR 2.22, 95%CI 1.42-3.47; OR 3.99, 95%CI 1.79-8.93). In contrast, TyG index demonstrated a stronger association with total-CVD, CHD and angina pectoris (TyG index: OR 2.00, 95%CI 1.26-3.18; OR 1.85, 95%CI 1.19-2.91; OR 2.93, 95%CI 1.23-7.00). RCS analysis showed that after adjusting for covariates, most of the aforementioned relationships were linear(P overall < 0.0001, P-nonlinear > 0.05), while the associations of the TyG index and TyG-WHtR with all-cause mortality and CHF were non-linear(P overall < 0.0001, P nonlinear < 0.05). The addition of the TyG index and TyG-WHtR to the basic model for outcomes improved the C-statistics, net reclassification improvement value, and integrated discrimination improvement value. CONCLUSIONS: The predictive value of TyG or TyG-WHtR for all-cause mortality and cardiovascular risk in NAFLD patients was significant. The TyG index and TyG-WHtR might be valid predictors of cardiovascular outcomes of patients with NAFLD.

Association of triglyceride-glucose index and its related parameters with atherosclerotic cardiovascular disease: evidence from a 15-year follow-up of Kailuan cohort.

BACKGROUND: Triglyceride glucose (TyG) index and its related parameters have been introduced as cost-effective surrogate indicators of insulin resistance, while prospective evidence of their effects on atherosclerotic cardiovascular disease (ASCVD) remained scattered and inconsistent. We aimed to evaluate the association of TyG and its related parameters with new-onset ASCVD, and the predictive capacity were further compared. METHOD: A total of 95,342 ASCVD-free participants were enrolled from the Kailuan study. TyG and its related parameters were defined by fasting blood glucose, triglyceride, body mass index (BMI), waist circumstance (WC) and waist-to-height ratio (WHtR). The primary outcome was incident ASCVD, comprising myocardial infarction (MI) and ischemic stroke (IS). Cox proportional hazard models and restricted cubic spline (RCS) analyses were adopted to investigate the association between each index and ASCVD. The C-index, integrated discrimination improvement (IDI), and net reclassification improvement (NRI) were used for comparison of their predictive value for ASCVD. RESULTS: During a median follow-up of 15.0 years, 8,031 new cases of ASCVD were identified. The incidence rate of ASCVD increased along with elevated levels of each index, and the relationships were found to be nonlinear in the RCS analyses. The hazard ratio (HR) and 95% confidence interval (95% CI) for ASCVD was 1.39 (1.35, 1.43), 1.46 (1.41, 1.50), 1.50 (1.46, 1.55), and 1.52 (1.48, 1.57) per 1 IQR increase of baseline TyG, TyG-BMI, TyG-WC, and TyG-WHtR, respectively, and the association were more pronounced for females and younger individuals aged < 60 years (Pfor interaction<0.05). Using the updated mean or time-varying measurements instead of baseline indicators did not significantly alter the primary findings. Additionally, TyG-WC and TyG-WHtR showed better performance in predicting risk of ASCVD than TyG, with the IDI (95% CI) of 0.004 (0.001, 0.004) and 0.004 (0.001, 0.004) and the category-free NRI (95% CI) of 0.120 (0.025, 0.138) and 0.143 (0.032, 0.166), respectively. Similar findings were observed for MI and IS. CONCLUSIONS: Both the TyG index and its related parameters were significantly and positively associated with ASCVD. TyG-WC and TyG-WHtR had better performance in predicting incident ASCVD than TyG, which might be more suitable indices for risk stratification and enhance the primary prevention of ASCVD.

The association between triglyceride-glucose index and its combination with obesity indicators and cardiovascular disease: NHANES 2003-2018.

BACKGROUND: In the American population, the relationship between the triglyceride-glucose (TyG) index and TYG combined with indicators of obesity and cardiovascular disease (CVD) and its mortality has been less well studied. METHODS: This cross-sectional study included 11,937 adults from the National Health and Nutrition Examination Survey (NHANES) 2003-2018. Cox proportional hazards model, binary logistic regression analyses, restricted cubic spline (RCS), and receiver operating characteristic (ROC) were used to analyze the relationship between TyG and its combined obesity-related indicators and CVD and its mortality. Mediation analysis explored the mediating role of glycated hemoglobin and insulin in the above relationships. RESULTS: In this study, except for no significant association between TyG and CVD mortality, TyG, TyG-WC, TyG-WHtR, and TyG-BMI were significantly and positively associated with CVD and CVD mortality. TyG-WHtR is the strongest predictor of CVD mortality (HR 1.66, 95% CI 1.21-2.29). The TyG index correlated better with the risk of coronary heart disease (OR 2.52, 95% CI 1.66-3.83). TyG-WC correlated best with total CVD (OR 2.37, 95% CI 1.77-3.17), congestive heart failure (OR 2.14, 95% CI 1.31-3.51), and angina pectoris (OR 2.38, 95% CI 1.43-3.97). TyG-WHtR correlated best with myocardial infarction (OR 2.24, 95% CI 1.45-3.44). RCS analyses showed that most of the above relationships were linear (P-overall < 0.0001, P-nonlinear > 0.05). Otherwise, ROC curves showed that TyG-WHtR and TyG-WC had more robust diagnostic efficacy than TyG. In mediation analyses, glycated hemoglobin mediated in all the above relationships and insulin-mediated in partial relationships. CONCLUSIONS: TyG-WC and TyG-WtHR enhance CVD mortality prediction, diagnostic efficacy of CVD and its mortality, and correlation with some CVD over and above the current hottest TyG. TyG-WC and TyG-WtHR are expected to become more effective metrics for identifying populations at early risk of cardiovascular disease and improve risk stratification.

Anthropometric markers and their cut-off point for the prediction of hypertension with lifestyle as a risk factor among Chiru tribe of North East India.

BACKGROUND: The increased prevalence of obesity, particularly central obesity, is closely associated with many metabolic complexions, including hypertension and diabetes. OBJECTIVES: The present study investigates the cut-off points of some anthropometric measurements such as body mass index [BMI (kg/m2)], waist circumference [WC (cm)], waist-hip ratio (WHR), and waist-height ratio (WHtR) associated with high blood pressure. It determines the risk factors among the Chiru tribe of North East India. METHODS: The cross-sectional study was conducted in four villages in the hilly districts of Manipur. For the present study, 416 Chiru adults (209 males and 207 females) aged 20-79 years were included. Anthropometrics and blood pressure were measured using standard procedures. Statistical methods such as chi-square, Pearson correlation, and multivariate logistic regression were employed. RESULTS: The result indicates that the cut-off values to detect hypertension were 21.83 for BMI, 82.55 for WC, 0.92 for WHR, and 0.53 for WHtR. However, the cut-off values to detect hypertension in females were 23.92 for BMI, 86.48 for WC, 0.94 for WHR, and 0.55 for WHtR. Multivariate logistic regression analysis indicated that hypertension was an independently associated risk factor in both males and females with an age ≥ 50 years (OR = 18.52 and 10.12), physical activity (OR = 0.10 and 0.21), salt intake (OR = 7.81 and 3.36), and smoking (OR = 2.56 and 3.23), respectively. CONCLUSION: It has been concluded that BMI, WC, WHR, and WHtR values can determine hypertension risk in the Chiru population. Age, smoking, physical activity, and salt intake were independent risk factors associated with high blood pressure.

Normoglycemia and type 2 diabetes: exploring secreted frizzled-4, insulin resistance, and waist-height ratio.

The current study was planned to compare serum levels of secreted frizzled related protein-4, insulin resistance and waist-to-height ratio in individuals with and without a diabetic background, and to assess the correlation of these markers with family history of diabetes. The cross-sectional comparative study comprised 80 subjects with confirmed normal glucose tolerance values. Parameters assessed included secreted frizzled related protein-4, fasting glucose, random glucose, fasting insulin, homeostasis model of assessment of insulin resistance and waist-toheight ratio values. Those without a diabetic background had significantly higher frizzled related protein-4 levels (p=0.02). Although subjects with family history of diabetes showed higher mean fasting glucose, waist circumference and waist-to-height ratio, these differences were not statistically significant (p>0.05). However, there was a strong positive correlation with waist circumference, waistto- height ratio, fasting insulin and homeostasis model of assessment of insulin resistance (p=0.0001). There was no significant correlation of diabetic background with frizzled related protein-4 SFRP-4, homeostasis model of assessment of insulin resistance and waist-to-height ratio (p>0.05).

Anthropometric Indices for Predicting Hypertension among General Outpatient Clinic Attendees of Federal Medical Centre, Bida, Nigeria.

BACKGROUND: The literature is replete with overwhelming evidence that being obese is a predictor of hypertension risk. Obesity can be defined by anthropometric indices, such as Body Mass Index (BMI), Waist Circumference (WC), waist-hip ratio (WHR), and waistheight ratio (WHtR). Despite wide use of BMI as indicator of obesity, it does not reflect central fat distribution, whereas WC, WHR, and WHtR are used as surrogate markers for body fat centralization. A central distribution of body fat has been shown to be strongly associated with hypertension. Controversies, however, remain regarding the best predictor of hypertension risk. We determined the prevalence of hypertension and assess its association with the four obesity-related indices above. We evaluated which anthropometric measurement most closely relates to high blood pressure risk among adult patients 18 years and above in Bida. METHODS: This is an analytical cross-sectional hospital-based study of 210 systematic randomly selected adults. Participants were administered a standardized questionnaire and had anthropometric measurements taken along with their blood pressure. RESULTS: The percentage of people with high blood pressure was 38.6% (33.7% for males and 42.4% for females). WC (p-value <0.001), WHR (p-0.001), WHtR (p-value <0.001) and BMI (p-0.016) were all statistically significantly associated with hypertension. At the multivariate analysis level; waist circumference (OR= 3.635, p= 0.002, CI = 1.613-8.189) and waist-height ratio (OR= 7.183, p-value <0.001, CI = 2.661-19.389) remained strong predictors of hypertension risk. Analysis of the receiver operated characteristics curve showed that waist circumference (0.842) and waist-height ratio (0.838) were the best predictors of hypertension risk. CONCLUSION: The central obesity indices WC, and WHtR were better than BMI for the prediction of hypertension in adults >18 years. Therefore, WHtR or WC is recommended as a screening tool for the prediction of hypertension in our clinics, as a means of prevention and early detection of hypertension to halt or slow down the rising burden of hypertension.

CONTEXTE: La littérature regorge de preuves irréfutables que l'obésité est un facteur de prédiction du risque d'hypertension. L'obésité peut être définie par des indices anthropométriques, comme l'indice de masse corporelle (IMC), le tour de taille (TT), le rapport taille-hanche (RTH) et le rapport taille-hauteur (RTH). Bien que l'IMC soit largement utilisé comme indicateur de l'obésité, il ne reflète pas la distribution centrale de la graisse, alors que le tour de taille, le WHR et le WHtR sont utilisés comme marqueurs de substitution pour la centralisation de la graisse corporelle. Il a été démontré qu'une distribution centrale de la graisse corporelle est fortement associée à l'hypertension. Cependant, des controverses subsistent quant au meilleur prédicteur du risque d'hypertension. Nous avons déterminé la prévalence de l'hypertension et évalué son association avec les quatre indices liés à l'obésité ci-dessus. Nous avons évalué quelle mesure anthropométrique est la plus étroitement liée au risque d'hypertension chez les patients adultes âgés de 18 ans et plus à Bida. MÉTHODES: Il s'agit d'une étude analytique transversale menée en milieu hospitalier auprès de 210 adultes sélectionnés de manière systématique et aléatoire. Les participants ont reçu un questionnaire standardisé et des mesures anthropométriques ont été prises en même temps que leur tension artérielle. RÉSULTATS: Le pourcentage de personnes ayant une pression artérielle élevée était de 38,6 % (33,7 % pour les hommes et 42,4 % pour les femmes). Le tour de taille (valeur p <0,001), le WHR (p-0,001), le WHtR (valeur p <0,001) et l'IMC (p-0,016) étaient tous associés de manière statistiquement significative à l'hypertension. Au niveau de l'analyse multivariée, le tour de taille (OR= 3,635, p=0,002, CI = 1,613-8,189) et le rapport taille-hauteur (OR= 7,183, pvalue <0,001, CI = 2,661-19,389) sont restés des prédicteurs forts du risque d'hypertension. L'analyse de la courbe des caractéristiques opérées par le récepteur a montré que le tour de taille (0,842) et le rapport taillehauteur (0,838) étaient les meilleurs prédicteurs du risque d'hypertension. CONCLUSION: Les indices d'obésité centrale WC, et WHtR étaient meilleurs que l'IMC pour la prédiction de l'hypertension chez les adultes de plus de 18 ans. Par conséquent, le WHtR ou le tour de taille est recommandé comme outil de dépistage pour la prédiction de l'hypertension dans nos cliniques, comme moyen de prévention et de détection précoce de l'hypertension pour arrêter ou ralentir l'augmentation du fardeau de l'hypertension. Mots clés: IMC, Hypertension artérielle, Tour de taille, Rapport taillehauteur.

Anthropometric cut-points for discriminating diabetes and the metabolic syndrome among Arabs and Asians: the Kuwait Diabetes Epidemiology Program.

This study aimed to determine anthropometric cut-points for screening diabetes and the metabolic syndrome (MetS) in Arab and South Asian ethnic groups in Kuwait and to compare the prevalence of the MetS based on the ethnic-specific waist circumference (WC) cut-point and the International Diabetes Federation (IDF) and American Heart Association/National Heart, Lung, and Blood Institute WC criteria. The national population-based survey data set of diabetes and obesity in Kuwait adults aged 18-60 years was analysed. Age-adjusted logistic regression and receiver operating characteristic (ROC) analyses were conducted to evaluate for 3589 individuals the utility of WC, waist:height ratio (WHtR) and BMI to discriminate both diabetes and ≥3 CVD risk factors. Areas under the ROC curve were similar for WC, WHtR and BMI. In Arab men, WC, WHtR and BMI cut-offs for diabetes were 106 cm, 0·55 and 28 kg/m2 and for ≥3 CVD risk factors, 97 cm, 0·55 and 28 kg/m2, respectively. In Arab women, cut-offs for diabetes were 107 cm, 0·65 and 33 kg/m2 and for ≥3 CVD risk factors, 93 cm, 0·60 and 30 kg/m2, respectively. WC cut-offs were higher for South Asian women than men. IDF-based WC cut-offs corresponded to a higher prevalence of the MetS across sex and ethnic groups, compared with Kuwait-specific cut-offs. Any of the assessed anthropometric indices can be used in screening of diabetes and ≥3 CVD risk factors in Kuwaiti Arab and Asian populations. ROC values were similar. The WC threshold for screening the MetS in Kuwaiti Arabs and South Asians is higher for women.

The association between the presence of fast-food outlets and BMI: the role of neighbourhood socio-economic status, healthy food outlets, and dietary factors.

BACKGROUND: Evidence on the association between the presence of fast-food outlets and Body Mass Index (BMI) is inconsistent. Furthermore, mechanisms underlying the fast-food outlet presence-BMI association are understudied. We investigated the association between the number of fast-food outlets being present and objectively measured BMI. Moreover, we investigated to what extent this association was moderated by neighbourhood socio-economic status (NSES) and healthy food outlets. Additionally, we investigated mediation by frequency of fast-food consumption and amount of fat intake. METHODS: In this cross-sectional study, we used baseline data of adults in Lifelines (N = 149,617). Geo-coded residential addresses were linked to fast-food and healthy food outlet locations. We computed the number of fast-food and healthy food outlets within 1 kilometre (km) of participants' residential addresses (each categorised into null, one, or at least two). Participants underwent objective BMI measurements. We linked data to Statistics Netherlands to compute NSES. Frequency of fast-food consumption and amount of fat intake were measured through questionnaires in Lifelines. Multivariable multilevel linear regression analyses were performed to investigate associations between fast-food outlet presence and BMI, adjusting for individual and environmental potential confounders. When exposure-moderator interactions had p-value < 0.10 or improved model fit (∆AIC ≥ 2), we conducted stratified analyses. We used causal mediation methods to assess mediation. RESULTS: Participants with one fast-food outlet within 1 km had a higher BMI than participants with no fast-food outlet within 1 km (B = 0.11, 95% CI: 0.01, 0.21). Effect sizes for at least two fast-food outlets were larger in low NSES areas (B = 0.29, 95% CI: 0.01, 0.57), and especially in low NSES areas where at least two healthy food outlets within 1 km were available (B = 0.75, 95% CI: 0.19, 1.31). Amount of fat intake, but not frequency of fast-food consumption, explained this association for 3.1%. CONCLUSIONS: Participants living in low SES neighbourhoods with at least two fast-food outlets within 1 km of their residential address had a higher BMI than their peers with no fast-food outlets within 1 km. Among these participants, healthy food outlets did not buffer the potentially unhealthy impact of fast-food outlets. Amount of fat intake partly explained this association. This study highlights neighbourhood socio-economic inequalities regarding fast-food outlets and BMI.

The impact of central obesity on the risk of hospitalization or death due to heart failure in type 1 diabetes: a 16-year cohort study.

BACKGROUND: Obesity and type 2 diabetes are well-known risk factors for heart failure (HF). Although obesity has increased in type 1 diabetes, studies regarding HF in this population are scarce. Therefore, we investigated the impact of body fat distribution on the risk of HF hospitalization or death in adults with type 1 diabetes at different stages of diabetic nephropathy (DN). METHODS: From 5401 adults with type 1 diabetes in the Finnish Diabetic Nephropathy Study, 4668 were included in this analysis. The outcome was HF hospitalization or death identified from the Finnish Care Register for Health Care or the Causes of Death Register until the end of 2017. DN was based on urinary albumin excretion rate. A body mass index (BMI) ≥ 30 kg/m2 defined general obesity, whilst WHtR ≥ 0.5 central obesity. Multivariable Cox regression was used to explore the associations between central obesity, general obesity and the outcome. Then, subgroup analyses were performed by DN stages. Z statistic was used for ranking the association. RESULTS: During a median follow-up of 16.4 (IQR 12.4-18.5) years, 323 incident cases occurred. From 308 hospitalizations due to HF, 35 resulted in death. Further 15 deaths occurred without previous hospitalization. The WHtR showed a stronger association with the outcome [HR 1.51, 95% CI (1.26-1.81), z = 4.40] than BMI [HR 1.05, 95% CI (1.01-1.08), z = 2.71]. HbA1c [HR 1.35, 95% CI (1.24-1.46), z = 7.19] was the most relevant modifiable risk factor for the outcome whereas WHtR was the third. Individuals with microalbuminuria but no central obesity had a similar risk of the outcome as those with normoalbuminuria. General obesity was associated with the outcome only at the macroalbuminuria stage. CONCLUSIONS: Central obesity associates with an increased risk of heart failure hospitalization or death in adults with type 1 diabetes, and WHtR may be a clinically useful screening tool.

Screening of central obesity among normal-weight children and adolescents in Shandong, China.

The prevalence of central obesity in the total population has been reported in numerous studies. However, information on the prevalence of central obesity within normal-category BMI is scant. In the present study, we examined the profiles of central obesity among normal-weight children and adolescents. A total of 29 516 (14 226 boys and 15 290 girls) normal-weight children and adolescents (excluding underweight, overweight and obesity) aged 7-18 years were included in the final analysis. Central obesity was defined by the international age- and sex-specific cut-offs of waist circumference (WC) and threshold of waist:height ratio (WHtR ≥ 0·5). All subjects were classified into four groups (Q1-Q4) according to the age- and sex-specific quartiles of BMI, those in the upper fourth (Q4) were defined as 'high-normal BMI' and those in the lower fourth (Q1) were defined as 'low-normal BMI'. The prevalence of central obesity as measured by WC was 9·90 (95 % CI 9·41, 10·39) % for boys and 8·11 (95 % CI 7·68, 8·54) % for girls; by WHtR was 2·97 (95 % CI 2·69, 3·25) % for boys and 2·44 (95 % CI 2·20, 2·68) % for girls. Subjects in the Q4 group had a much higher prevalence of central obesity than their counterparts in the Q1 group (P < 0·01). Our findings suggest that the health risks of children with normal-weight central obesity may be missed when BMI is used alone as a measure; it is meaningful to include WC in clinical practice and to include the simple message 'Keep your waist to less than half your height'.

Abdominal obesity and risk of CVD: a dose-response meta-analysis of thirty-one prospective studies.

This meta-analysis aimed to study the relationship between abdominal obesity and the risk of CVD by waist circumference (WC), waist:hip ratio (WHR) and waist:height ratio (WHtR). We systematically searched PubMed, Embase and Web of Science. Prospective studies that estimated cardiovascular events by WC, WHR and WHtR were included in this study. Pooled relative risks with 95 % CI were calculated using random effects models. A total of thirty-one studies were included in the meta-analysis, including 669 560 participants and 25 214 cases. Compared the highest with the lowest category of WC, WHR and WHtR, the summary risk ratios were 1·43 (95 % CI, 1·30, 1·56, P < 0·001), 1·43 (95 % CI, 1·33, 1·54, P < 0·001) and 1·57 (95 % CI, 1·37, 1·79, P < 0·001), respectively. The linear dose-response analysis revealed that the risk of CVD increased by 3·4 % for each 10 cm increase of WC, and by 3·5 and 6·0 % for each 0·1 unit increase of WHR and WHtR in women, respectively. In men, the risk of CVD increased by 4·0 % for each 10 cm increase of WC, and by 4·0 and 8·6 % for each 0·1 unit increase of WHR and WHtR, respectively. Collectively, abdominal obesity is associated with an increased risk of CVD. WC, WHR and WHtR are good indicators for the prediction of CVD.

Growth and socio-economic status, influence on the age at menarche in school going girls.

INTRODUCTION: Onset age at menarche has been considered an important indicator of reproductive maturity in females and reflects the health status of the population. The purpose of this study was to determine the mean menarcheal age and to examine whether anthropometric and socio-economic status (SES) influences age at menarche in the girls from Punjab province of Pakistan. METHODS: In this population-based cross-sectional study, 10,050 school-going girls aged 8-16 years from 35 schools across 12 districts of Punjab were recruited. Menarcheal data was obtained by using a questionnaire, while the anthropometric data were obtained by the measurements of standing height, body weight, waist, and hip circumference. The anthropometric indices of pre- and post-menarcheal girls were compared. Student's t-test, ANOVA, and post-hoc Tukey's test was applied for comparison between two and multiple groups respectively, P < 0.05 was considered statistically significant. RESULTS: There was a normal distribution of age at menarche and mean was 12.4 years in the study population. The girls who reached menarche were found to be taller and heavier with higher BMIs, having a greater waist and hip circumference as compared to their pre-menarcheal peers. Waist-hip-ratio was less, and the waist-to-height ratio was higher in post-menarcheal as compared to pre-menarcheal girls. The girls belonging to low SES had delayed onset of menarche as compared to those belonging to middle/high SES. CONCLUSION: The age at menarche was associated with SES and changes in various anthropometric measurements reflecting the growth status of girls.

Aesthetic Contouring of the Chest wall with Rib Resection.

BACKGROUND: In past decades, several invasive and noninvasive aesthetic procedures have been sought as a way to improve body contouring, and one may resort to uncertified and potentially dangerous procedures to achieve that goal. An example of this practice would be the resection of ribs to reduce the waist for aesthetic reasons. The objective was to check scientific evidence on the effectiveness and safety of removal of floating ribs for aesthetic purposes. METHODS: A systematic review of the literature was carried out in EMBASE/Elsevier, Cochrane, Scopus, Medline, PubMed, BVS, SciELO, OneFile, and Lilacs, throughout the period until June 2020, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. RESULTS: Fifty-six articles were found in all databases. After applying the inclusion criteria, by reading the title and abstract of the studies found, only two articles were definitively included. One addressed the possibility of removing the 7th and 8th ribs for improving body contouring in patients with an exaggerated anterior projection of the chest wall, without showing cases or surgical techniques. The other demonstrated procedures of body contouring in transgender by the removal of the 11th and 12th ribs in five of the 22 patients studied, just providing a brief description of the surgical technique used, without details. CONCLUSIONS: Despite the relevance of the theme and its popularity, there is not enough scientific evidence to support the practice, effectiveness and safety of the resection of ribs for aesthetic purposes. LEVEL OF EVIDENCE III: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Associations of childhood adiposity with menstrual irregularity and polycystic ovary syndrome in adulthood: the Childhood Determinants of Adult Health Study and the Bogalusa Heart Study.

STUDY QUESTION: Is high adiposity in childhood associated with menstrual irregularity and polycystic ovary syndrome (PCOS) in later life? SUMMARY ANSWER: Overall, greater childhood BMI was associated with menstrual irregularity, and greater childhood BMI and waist/height ratio (WHtR) in white but not black participants were associated with PCOS in adulthood. WHAT IS KNOWN ALREADY: Increased childhood BMI has been associated with irregular menstrual cycles and PCOS symptoms in adulthood in two longitudinal population-based studies, but no study has reported on associations with childhood abdominal obesity. Few studies have investigated whether there are racial differences in the associations of adiposity with PCOS though there has been some suggestion that associations with high BMI may be stronger in white girls than in black girls. STUDY DESIGN, SIZE, DURATION: The study included 1516 participants (aged 26-41 years) from the Australian Childhood Determinants of Adult Health study (CDAH) and 1247 participants (aged 26-57 years) from the biracial USA Babies substudy of the Bogalusa Heart Study (BBS) who were aged 7-15 years at baseline. At follow-up, questions were asked about menstruation (current for CDAH or before age 40 years for BBS), ever having had a diagnosis of PCOS and symptoms of PCOS. PARTICIPANTS/MATERIALS, SETTING, METHODS: In CDAH, a single childhood visit was conducted in 1985. In BBS, multiple childhood visits occurred from 1973 to 2000 and race was reported (59% white; 41% black). In childhood, overweight and obesity were defined by international age-sex-specific standards for BMI and WHtR was considered as an indicator of abdominal obesity. Multilevel mixed-effects Poisson regression estimated relative risks (RRs) adjusting for childhood age, highest parental and own education and age at menarche. MAIN RESULTS AND THE ROLE OF CHANCE: The prevalence of childhood obesity was 1.1% in CDAH and 7.5% in BBS. At follow-up, menstrual irregularity was reported by 16.7% of CDAH and 24.5% of BBS participants. The prevalence of PCOS was 7.4% in CDAH and 8.0% in BBS participants. In CDAH, childhood obesity was associated with menstrual irregularity (RR = 2.84, 95% CI: 1.63-4.96) and PCOS (RR = 4.05, 95% CI: 1.10-14.83) in adulthood. With each 0.01 unit increase in childhood WHtR there was a 6% (95% CI: 1-11%) greater likelihood of PCOS. Overall, in BBS, childhood obesity was associated with increased risk of menstrual irregularity (RR = 1.44, 95% CI: 1.08-1.92) in adulthood. Significant interaction effects between race and childhood adiposity were detected in associations with PCOS. In BBS white participants, childhood obesity was associated with PCOS (RR = 2.93, 95% CI: 1.65-5.22) and a 0.01 unit increase in childhood WHtR was associated with an 11% (95% CI: 5-17%) greater likelihood of PCOS in adulthood. In BBS black participants, no statistically significant associations of childhood adiposity measures with PCOS were observed. LIMITATIONS, REASONS FOR CAUTION: The classification of menstrual irregularity and PCOS was based on self-report by questionnaire, which may have led to misclassification of these outcomes. However, despite the limitations of the study, the prevalence of menstrual irregularity and PCOS in the two cohorts was consistent with the literature. While the study samples at baseline were population-based, loss to follow-up means the generalizability of the findings is uncertain. WIDER IMPLICATIONS OF THE FINDINGS: Greater childhood adiposity indicates a higher risk of menstrual irregularity and PCOS in adulthood. Whether this is causal or an early indicator of underlying hormonal or metabolic disorders needs clarification. The stronger associations of adiposity with PCOS in white than black participants suggest that there are racial differences in childhood adiposity predisposing to the development of PCOS and other environmental or genetic factors are also important. STUDY FUNDING/COMPETING INTEREST(S): The CDAH study was supported by grants from the Australian National Health and Medical Research Council (grants 211316, 544923 and 1128373). The Bogalusa Heart Study is supported by US National Institutes of Health grants R01HD069587, AG16592, HL121230, HD032194 and P50HL015103. No competing interests existed.

Waist Circumference and its Changes Are More Strongly Associated with the Risk of Type 2 Diabetes than Body Mass Index and Changes in Body Weight in Chinese Adults.

BACKGROUND: The associations of different adiposity indicators and short-term adiposity change with diabetes risk are not fully elucidated. OBJECTIVE: We aimed to assess the independent and joint effects of different baseline adiposity indicators and short-term body adiposity change on the risk of type 2 diabetes. METHODS: We prospectively followed 10,419 Chinese adults aged 20-80 y in 2008-2012. Incident diabetes was diagnosed based on fasting glucose, 2-h glucose, or glycated hemoglobin (HbA1c) after an oral glucose tolerance test using the American Diabetes Association standard. Cox proportional hazard regression models were used to assess the associations of adiposity indicators and adiposity change with diabetes risk. RESULTS: During a mean follow-up of 2.8 y, we identified 805 type 2 diabetes cases. Baseline BMI, waist circumference, and waist-height ratio (WHtR) were all positively associated with diabetes risk. The area under the curve was significantly greater for waist circumference (0.624) and WHtR (0.627) than for BMI (0.608) (P <0.05). Compared with subjects with stable adiposity levels (±2 kg or ± 3 cm in changes in body weight or waist circumference) from baseline to Year 1, those subjects with the most weight gain or the most waist circumference gain had a 1.53-fold or 1.37-fold greater risk of diabetes; those with the most weight loss had a 46% lower risk of diabetes. Furthermore, regardless of baseline weight status, weight or waist circumference change in the first year was associated with diabetes risk. CONCLUSION: Abdominal adiposity indicators, waist circumference and its change, are more strongly associated with the risk of type 2 diabetes than general adiposity indicators, BMI, and changes in body weight among Chinese adults.

Mediating effect of waist:height ratio on the association between BMI and frailty: the Korean Frailty and Aging Cohort Study.

Body weight is a major risk determinant of frailty, but the effect of obesity on frailty is controversial. The present study aimed to confirm the hypothesis that the risk of frailty is positively associated with obesity (BMI ≥ 30 kg/m2), but the association is mediated by the waist:height ratio (WHtR) in older women and men. A total of 2862 community-dwelling older individuals aged 70-84 years were assessed for frailty using the Korean version of Fatigue, Resistance, Ambulation, Illnesses, and Loss of weight index. Obesity (BMI ≥ 30 kg/m2) was associated with a higher risk of frailty compared with BMI 18·5-<23 kg/m2 in all the older individuals (OR 1·88; 95 % CI 1·11, 3·17; P = 0·018) and in older women (OR 1·86; 95 % CI 1·01, 3·42; P = 0·047) before adjusting for WHtR but was not associated with BMI after adjusting for WHtR. Additionally, obesity was not significantly associated with the risk of frailty before and after adjusting for WHtR in older men. Mediation analysis revealed that the association between BMI and frailty score was mediated by WHtR. Moreover, the mediating effect of WHtR on frailty score was positive in both women and men, but the frailty score was associated with BMI positively in women and negatively in men. The present study suggests that the risk of frailty is higher in obese women, which is mediated by WHtR, but not in obese men.

Associations between overweight and obesity and asthma outcomes in urban adolescents.

Objective: To examine the prevalence of overweight and obesity in urban adolescents with asthma and to investigate the relationships between anthropometric measures and asthma outcomes including quality of life, asthma control and lung function.Methods: Adolescents with an asthma diagnosis, 12-20 years-old, were recruited from three urban communities in the United States. Spirometry and anthropometric data including height, weight and waist circumferences were collected along with questionnaire data measuring quality of life, asthma control, and medication adherence. Body mass index (BMI) and waist-height ratio (WHtR) were computed.Results: The sample (N = 294) included 48% female and 80% African American. About 50% of the sample were either overweight or obese, and 41% had central obesity. No significant gender interactions with either BMI or WHtR on asthma outcomes were found. Neither BMI nor WHtR predicted quality of life, asthma control or medication adherence, while females had poorer quality of life and asthma control regardless of weight status (p < 0.001). Higher BMI or WHtR predicted higher spirometry values. Regardless of weight status, females had greater percent predicted spirometry values, while raw values (L) were significantly greater in males.Conclusions: High BMI is a common comorbidity among poor, primarily African American, urban adolescents with asthma. The negative impact of being overweight or obese on quality of life or asthma control is yet to be manifested in adolescents. The findings underscore adolescence as an ideal period to safely intervene to reduce excessive body weight, which can prevent the potentially harmful effects of obesity on future asthma outcomes.

Impact of interlukin-6 on central obesity measures in women with polycystic ovarian syndrome.

Our aim was to investigate the relationship between plasma interleukin-6 (IL-6) levels with different measures of central obesity among Saudi women with and without polycystic ovarian syndrome (PCOS). One hundred and sixty-four Saudi females, between 22 and 38 years of age, with and without PCOS were enrolled in this case-control study. Physical examination and laboratory tests were completed for every subject. 2/3 of the study population were obese. Fasting serum insulin, plasma IL-6 levels and insulin resistance show significant increase among POCS than the controls (p<.05). Based on linear regression analysis, C-reactive protein (hs-CRP) was the only independent predictor of plasma IL-6 levels, accounting for 4% of the variability in plasma IL-6 (ß = 0.217, p=.005, 95% CI: 0.049-0.275). Coexistence of metabolic and inflammatory factors in PCOS females is accompanied by central obesity which overpowers the effect of insulin resistance, contributing to higher plasma levels of IL-6 and CRP.Impact statementWhat is already known on this subject? Polycystic ovary syndrome (PCOS) is a cluster of many cardiovascular risk factors, but is also known as an inflammatory condition. Insulin resistance and abdominal obesity are classic components of PCOS. High circulatory levels of inflammatory markers in PCOS patients have been reported but it remains unclear whether their elevation is related to PCOS itself, or are a function of abdominal adiposity.What the results of this study add? The relationship between plasma interleukin-6 levels and different measures of central obesity was investigated among Saudi women with and without PCOS. Elevations of proinflammatory cytokines and inflammatory markers were reported in PCOS patients independently of insulin resistance. It remains to be established whether the proinflammatory state in PCOS is primarily due to inflamed adipose tissue.What the implications are of these findings for clinical practice and/or further research? The present study demonstrates that coexistence of metabolic and inflammatory factors in PCOS females are accompanied by central obesity which overpowers the effect of insulin resistance, contributing to higher plasma levels of IL-6 and CRP. Future studies including a larger population are needed to investigate the mechanisms by which IL-6 and hs-CRP promote cardiovascular risk in PCOS patients.

Anthropometric indices to predict insulin resistance in women with polycystic ovary syndrome in China.

RESEARCH QUESTION: Which anthropometric index (waist-to-height ratio, waist circumference, waist-to-hip ratio and body mass index) is the best in predicting insulin resistance among Chinese women with polycystic ovary syndrome? DESIGN: A total of 1124 patients with polycystic ovary syndrome at the Reproductive Endocrinology Division of West China Second University Hospital of Sichuan University were enrolled in this study. Identification of insulin resistance was based on homeostasis model assessment of insulin resistance scores 2.77 or over. Receiver operator characteristic analysis was carried out using the four anthropometric indices as the continuous variables and insulin resistance as the categorical variable to obtain the areas under the curve. RESULT: The area under the curve for the waist-to-height ratio (0.748 ± 0.019) was greater than those for waist circumference (0.739 ± 0.019), body mass index (0.738 ± 0.017), and waist-to-hip ratio (0.659 ± 0.020) in the prediction of insulin resistance. The waist-to-height ratio also had the highest Youden indices compared with those of waist circumference, body mass index, and waist-to-hip ratio; the waist-to-height ratio cut-off was 0.49. CONCLUSION: The waist-to-height ratio with a cut-off of 0.49 was the most accurate anthropometric indicator for predicting insulin resistance among Chinese women with polycystic ovary syndrome.