Dynapenic Abdominal Obesity and Metabolic Health in Non-Geriatric Patients with Obesity.

Background: Dynapenic abdominal obesity (DAO) is the combination of low muscle strength and high central adiposity, which can lead to functional and cardiometabolic impairments. Objective: The aim of this study was to examine the relationship between DAO and metabolic parameters in non-geriatric patients with obesity. Methods: All patients seen in the obesity outpatient clinic during a random month, along with 30 healthy individuals, were included in the study. Body mass index (BMI), waist circumference (WC), hip circumference (HC), serum fasting blood glucose, triglyceride, high-density lipoprotein, low-density lipoprotein (LDL), insulin, and glycated hemoglobin (HbA1c) levels were measured. Muscle function tests were conducted. Hypertension and diabetes mellitus diagnoses were recorded. DAO was determined using handgrip strength and WC. Metabolic syndrome was defined based on International Diabetes Federation (IDF) criteria. Data were analyzed using SPSS. Results: A total of 106 individuals participated in the study, including 76 individuals with obesity as the case group and 30 healthy individuals as the control group. In the case group, BMI, WC, HC, and chair stand test results were higher compared to the control group. There was no significant difference between the case and control groups in terms of gait speed or handgrip test results. In the case group, 30 people (39.5%) had dynapenic obesity (DO), and in the control group, 8 people (26.7%) had DO. There was no significant difference in DO rates between the case and control groups. In the case group, the HbA1c level was higher in DO (+) group than DO (-) group. In the control group, DO (+) group had higher LDL and HbA1c level than DO (-) group. No significant difference was observed in other search parameters between the DO (+) and DO (-) groups in both the case and control groups. Conclusion: DAO is common among people with obesity and contributes to a poor prognosis, increased morbidity, and mortality. Therefore, including its treatment in the management of obesity is crucial for individuals of all age ranges.

Adrenal limb thickness is associated with metabolism profiles in patients with diabetes: A cross-sectional study.

BACKGROUND: The association between adrenal size and metabolic profiles in patients with diabetes mellitus (DM) is unclear. This study was conducted to determine whether the adrenal thickness measured by computed tomography (CT) is correlated with the metabolic profiles of patients with DM. METHODS: This was a cross-sectional study including 588 Chinese hospitalized patients with DM without comorbidities or medications known to affect adrenal morphology or hormone secretion. Adrenal limb thickness was measured on unenhanced chest CT. Participants were stratified into tertiles according to their total adrenal limb thickness. Linear and logistic regression models were used to estimate the correlations. RESULTS: After adjustment for sex and age, the adrenal thickness was positively associated with body mass index (BMI), waist circumference (WC), urinary albumin/creatinine ratio, and 24-h urinary free cortisol (UFC) and negatively correlated with high-density lipoprotein cholesterol. The sequential equation model (SEM) suggested UFC partially mediated the effect of adrenal limb thickness on WC by 12%. Adrenal thickness, but not UFC, was associated with a higher risk of existing hypertension (odds ratio [OR] = 3.78, 95% confidence interval [CI] 1.58, 9.02) and hyperlipidemia (OR = 2.76, 95% CI 1.03, 7.38), independent of age, gender, BMI, and WC. CONCLUSIONS: The adrenal thickness is independently associated with BMI, WC, cortisol levels, urinary albumin/creatinine ratio, hypertension, and dyslipidemia but not glycemic parameters in patients with diabetes. Our study encourages further studies to investigate the role of adrenal physiology in patients with diabetes.

Cross-sectional associations between 24-hour movement behaviors and cardiometabolic health among adults with type 2 diabetes mellitus: A comparison according to weight status.

OBJECTIVES: Type 2 diabetes mellitus (T2DM) is a chronic disease associated with overweight and obesity. Evidence suggests that 24-hour movement behaviors (24 h-MBs) play a crucial role in cardiometabolic health. However, it is not yet known if 24 h-MBs differ between weight status groups among people with T2DM (PwT2DM) and how 24 h-MBs are associated with their cardiometabolic health. DESIGN: Cross-sectional study. METHODS: Cardiometabolic variables (i.e. Body Mass Index (BMI), waist circumference (WC), HbA1c, fasting glucose, triglycerides, total-cholesterol, HDL-cholesterol, LDL-cholesterol, blood pressure) and 24 h-MBs (accelerometry and sleep-diary) of 1001 PwT2DM were collected. Regression models using compositional data analysis explored differences in 24 h-MBs between weight status groups and analyzed associations with cardiometabolic variables. RESULTS: The 24 h-MBs of PwT2DM being obese consisted of less sleep, light physical activity (LPA) and moderate to vigorous physical activity (MVPA) and more sedentary time (ST) per day as compared to PwT2DM being overweight or normal weight (p < 0.001). Regardless of weight status, the largest associations were found when reallocating 20 min a day from ST into MVPA for BMI (-0.32 kg/m2; [-0.55; -0.09], -1.09 %), WC (-1.44 cm, [-2.26; -0.62], -1.35 %) and HDL-cholesterol (0.02 mmol/l, [0.01, 0.02], +1.59 %), as well as from ST into LPA for triglycerides (-0.04 mmol/l, [-0.05; -0.03], -2.3 %). Moreover, these associations were different when stratifying people by short-to-average (7.7 h/night) versus long sleep (9.3 h/night) period. CONCLUSIONS: This study highlights the importance of 24 h-MBs in the cardiometabolic health of PwT2DM. Shifting time from ST and/or sleep toward LPA or MVPA might theoretically benefit cardiometabolic health among relatively inactive PwT2DM, irrespective of weight status.

Biomarkers of glucose homeostasis as mediators of the relationship of body mass index and waist circumference with COVID-19 outcomes among postmenopausal women: The Women's Health Initiative.

BACKGROUND & AIMS: Systematic reviews, meta-analyses and Mendelian randomization studies suggest that cardiometabolic diseases may be associated with COVID-19 risk and prognosis, with evidence implicating insulin resistance (IR) as a common biological mechanism. As driving factors for IR, we examined body mass index (BMI) and waist circumference (WC) among postmenopausal women in association with COVID-19 outcomes (positivity and hospitalization), and the role of glucose homeostasis as a mediator of this relationship. METHODS: Associations of BMI and WC at baseline (1993-1998) with COVID-19 outcomes collected at Survey 1 (June-December, 2020) and/or Survey 2 (September-December, 2021) were evaluated among 42,770 Women's Health Initiative (WHI) participants (baseline age: 59.36 years) of whom 16,526 self-reported having taken ≥1 COVID-19 test, with 1242 reporting ≥1 positive COVID-19 test and 362 reporting ≥1 COVID-19 hospitalization. We applied logistic regression and causal mediation analyses to sub-samples with available fasting biomarkers of glucose homeostasis (glucose, insulin, Homeostatic Model Assessment for Insulin Resistance, Homeostasis Model Assessment for ß-cell function, Quantitative Insulin-sensitivity Check Index, Triglyceride-Glucose index (TyG)) at baseline, whereby 57 of 759 reported COVID-19 test positivity and 23 of 1896 reported COVID-19 hospitalization. RESULTS: In fully adjusted models, higher BMI, WC and TyG were associated with COVID-19 test positivity and hospitalization. Glucose concentrations mediated associations of BMI and WC with COVID-19 positivity, whereas TyG mediated BMI and WC's associations with COVID-19 hospitalization. CONCLUSIONS: Obesity and central obesity markers collected an average of 24 years prior were associated with COVID-19 outcomes among postmenopausal women. Glucose concentration and TyG partly mediated these associations.

The Association of Body Mass Index and Waist Circumference with the Risk of Achilles Tendon Problems: A Nationwide Population-Based Longitudinal Cohort Study.

Background: The purpose of this study was to evaluate the association of body mass index (BMI) and waist circumference (WC) with the risk of Achilles tendinopathy (AT) or Achilles tendon rupture (ATR), using data from a nationwide population-based cohort. We hypothesized that higher BMI and WC would be independently associated with the increased risk of AT or ATR. In addition, a higher WC may potentiate the association between BMI and the risk of Achilles tendon problems. Methods: We used the National Health Insurance database that covers the entire South Korean population to follow up subjects who participated in the National Health Screening Program (NHSP) from January 2009 to December 2010. The NHSP data include subjects' BMI, WC, blood test results, blood pressure, and information about lifestyle. Among the subjects, those who were newly diagnosed as having AT or ATR before December 31, 2017, were selected. To examine the association of the variables with the risk of AT or ATR and determine whether the effect of higher BMI varied according to WC, multivariate Cox proportional hazards regression was used. Results: Among a total of 16,830,532 subjects, 125,814 and 31,424 developed AT and ATR, respectively. A higher BMI showed a greater association with the increased risk of ATR than AT (adjusted hazard ratio [HR], 3.49 vs. 1.96). A higher WC was associated with the increased risk of AT (adjusted HR, 1.22), but not ATR. In a separate analysis, the association between BMI and the risk of AT was higher when subjects had higher WC as compared to those with lower WC, being most significant in individuals with both higher BMI and higher WC. Conclusions: Higher BMI was more associated with the increased risk of ATR than AT. Moreover, a high central fat distribution played an independent and potentiating role in the development of AT. This implies the greater importance of a high central fat distribution contributing to the development of AT in obese people.

Machine learning-based predictive model for prevention of metabolic syndrome.

Metabolic syndrome (MetS) is a chronic disease caused by obesity, high blood pressure, high blood sugar, and dyslipidemia and may lead to cardiovascular disease or type 2 diabetes. Therefore, the detection and prevention of MetS at an early stage are imperative. Individuals can detect MetS early and manage it effectively if they can easily monitor their health status in their daily lives. In this study, a predictive model for MetS was developed utilizing solely noninvasive information, thereby facilitating its practical application in real-world scenarios. The model's construction deliberately excluded three features requiring blood testing, specifically those for triglycerides, blood sugar, and HDL cholesterol. We used a large-scale Korean health examination dataset (n = 70, 370; the prevalence of MetS = 13.6%) to develop the predictive model. To obtain informative features, we developed three novel synthetic features from four basic information: waist circumference, systolic and diastolic blood pressure, and gender. We tested several classification algorithms and confirmed that the decision tree model is the most appropriate for the practical prediction of MetS. The proposed model achieved good performance, with an AUC of 0.889, a recall of 0.855, and a specificity of 0.773. It uses only four base features, which results in simplicity and easy interpretability of the model. In addition, we performed calibrations on the prediction probability and calibrated the model. Therefore, the proposed model can provide MetS diagnosis and risk prediction results. We also proposed a MetS risk map such that individuals could easily determine whether they had metabolic syndrome.

Evaluation of ethnic differences in cardiometabolic risk in children.

PURPOSE: In adults, cardiometabolic conditions manifest differently by ethnicity with South Asians particularly predisposed. Whether these differences arise in childhood remains narrowly explored. To address this evidence gap, we examined whether children of different ethnicities display differences in cardiometabolic risk (CMR). METHODS: A cross-sectional analysis was conducted among 5557 children (3-11 years). Multivariable linear regression models adjusted for age, sex, z-body mass index, and demographic factors were used to estimate differences in CMR outcomes between children with parents that self-reported European ancestry (reference group) and one of 13 other ethnicities (African, Arab, East Asian, Latin American, South Asian, Southeast Asian, Mixed Ethnicities, and Other). The primary outcome was a CMR score, calculated as the sum of age- and sex-standardized waist circumference, systolic blood pressure (SBP), glucose, log-triglycerides, and inverse high-density lipoprotein cholesterol (HDL-C), divided by √5. RESULTS: Lower mean CMR scores were observed among children with African (ß = -0.62, 95% CI: -0.92; -0.32) and East Asian (ß = -0.41, 95% CI: -0.68, -0.15) ancestry compared to children with European ancestry. Children with South Asian ancestry had higher SBP (ß = 2.25, 95% CI: 1.27, 3.22) and non-HDL-C (ß = 0.17, 95% CI: 0.07, 0.26) than children with European ancestry. CONCLUSIONS: Ethnic differences in CMR were observed in early and middle childhood.

The association between body mass index, abdominal fatness, and weight change and the risk of adult asthma: a systematic review and meta-analysis of cohort studies.

Obesity has been associated with increased risk of adult asthma, however, not all studies have found a clear association between overweight and the incidence of asthma, and data on other adiposity measures have been limited. Hence, we aimed to summarize evidence on association between adiposity and adult asthma. Relevant studies were retrieved through searches conducted in PubMed, and EMBASE up to March 2021. A total of sixteen studies (63,952 cases and 1,161,169 participants) were included in the quantitative synthesis. The summary RR was 1.32 (95% CI 1.21-1.44, I2 = 94.6%, pheterogeneity < 0.0001, n = 13) per 5 kg/m2 increase in BMI, 1.26 (95% CI 1.09-1.46, I2 = 88.6%, pheterogeneity < 0.0001, n = 5) per 10 cm increase in waist circumference and 1.33 (95% CI 1.22-1.44, I2 = 62.3%, pheterogeneity= 0.05, n = 4) per 10 kg increase in weight gain. Although the test for nonlinearity was significant for BMI (pnonlinearity < 0.00001), weight change (pnonlinearity = 0.002), and waist circumference (pnonlinearity = 0.02), there was a clear dose-response relationship between higher levels of adiposity and asthma risk. The magnitude of the associations and the consistency of the results across studies and adiposity measures provide strong evidence that overweight and obesity, waist circumference and weight gain increases asthma risk. These findings support policies to curb the global epidemic of overweight and obesity.

Morning Serum Cortisol Is Uniquely Associated with Cardiometabolic Risk Independent of Body Composition in Latino Adolescents.

Background: Alterations in morning serum cortisol (MSC) have been associated with higher cardiometabolic risk. This finding has been documented primarily in populations with overweight or obesity; however, it has not been clearly established if obesity plays a requisite role in this relationship. This study seeks to extend earlier findings by examining whether body composition measures alter the relationship between MSC with glucose and insulin markers, blood pressure, and lipid parameters in Latino youth in middle adolescence. Methods: This cross-sectional study included 196 healthy adolescents (130F/66M; mean age: 16.4 ± 0.6 years; 95% Latino; mean body mass index, BMI: 24.3 ± 5.7) from Los Angeles, California. Morning cortisol, glucose, insulin, glycated hemoglobin, and lipids (triglycerides and high-density lipoprotein cholesterol) were assessed from a fasting blood sample. Sitting systolic and diastolic blood pressure was averaged from duplicate measures. Body composition measures included BMI and waist circumference, which were used as proxies for total body and abdominal adiposity, respectively. Triplicate measurements of weight and height were averaged for calculation of BMI; age- and sex-specific BMI z-score was used to classify into normal BMI or overweight/obese BMI status. Waist circumference was measured in duplicate and the average was used to classify participants into two strata: normal/healthy waist circumference (<90th percentile for age, sex, and ethnicity) and high waist circumference (≥90th percentile). Results: The primary findings were that higher MSC was associated with higher fasting glucose and systolic blood pressure after adjusting for age, sex, and BMI z-score (and/or waist circumference). BMI status or waist circumference status did not alter these relationships. Main Conclusion: Our results suggest that the relationships between hypothalamic-pituitary-adrenal axis function and certain cardiometabolic risk factors may be independent of adiposity. Future research is warranted to discover the contributors and underlying mechanisms of these relationships in adolescent populations. ClinicalTrials.gov identifier: NCT02088294.

Occupational Physical Activity and Cardiometabolic Risk Factors: A Cross-Sectional Study.

Contradictory data exist on the impact of occupational physical activity (OPA) on cardiovascular health. We aimed to evaluate the association between OPA and cardiometabolic risk factors. A cross-sectional study was performed in an environmental services company in 2017 (Spain). OPA was classified by work categories as being low (≤3 METs) or moderate-high (>3 METs). Multiple linear and logistic binary regression models were used to assess the associations between OPA and cardiometabolic risk factors related to obesity, blood pressure, blood lipids, and associated medical conditions, adjusted by age, sex, alcohol consumption, and global physical activity. In total, 751 employees were included (547 males and 204 females), and 55.5% (n = 417) had moderate-high OPA. Significant inverse associations were observed between OPA and weight, body mass index, waist circumference, waist-hip ratio, and total cholesterol both overall and in males. OPA was significantly inversely related to dyslipidemia overall and in both sexes, while the overweight plus obesity rate was inversely related only in the total and male populations. OPA was associated with a better cardiometabolic risk factor profile, particularly in males. The fact that our models were also adjusted by global physical activity highlights the associations obtained as being independent of leisure time physical activity effects.

Daily accelerometer-measured physical activity patterns and associations with cardiometabolic health among Canadian working adults.

Background: Previous studies examining the cardiometabolic risks associated with physical activity (PA) in workers have predominantly used self-reported measures. Little is known about workers' distinct daily PA patterns and whether these are linked with cardiometabolic risks. This study examined associations between patterns of workers' accelerometer-measured daily PA and four markers of cardiometabolic health. Data and methods: Working adults (N=8,229; 47% women; average age: 42 years; standard deviation = 0.3) were sampled from the Canadian Health Measures Survey (five cycles: 2007 to 2017). Accelerometer devices measured daily PA, and hierarchical cluster analysis identified distinct activity patterns. Multiple linear regression analyses examined associations between activity patterns and cardiometabolic risk markers (waist circumference, systolic and diastolic blood pressure, and non-high-density lipoprotein [HDL] cholesterol). Results: Workers were classified into six distinct activity patterns. On average, compared with workers classified in the "lowest activity" pattern, workers with the "moderate consistent activity," "fluctuating moderate activity," "high daytime activity" and "highest activity" patterns were associated with lower waist circumferences; workers with the "fluctuating moderate activity" and "highest activity" patterns were associated with lower systolic blood pressure; the "moderate evening activity" pattern was associated with lower diastolic blood pressure; and workers with the "fluctuating moderate activity," "high daytime activity" and "highest activity" patterns were associated with lower non-HDL cholesterol. "High daytime activity" was associated with lower waist circumference in women, compared with men, and the "moderate consistent activity" and "fluctuating moderate activity" patterns were associated with lower diastolic blood pressure in younger workers (40 years or younger). Interpretation: Workers with high daily PA levels tended to have the most optimal cardiometabolic health. Some evidence suggested that there are benefits to moderate levels of PA, particularly for lowering waist circumference and non-HDL cholesterol. Findings may assist in identifying workers for PA initiatives to promote cardiometabolic health benefits.

Body Composition and COPD: A New Perspective.

The proportion of obese or overweight patients in COPD patients is increasing. Although BMI, WC and other easy to measure indicators have been proven to be related to the risk of COPD, they cannot accurately reflect the distribution and changes of body composition, ignoring the body composition (such as fat distribution, muscle content, water content, etc.), the relationship between it and disease risk may be missed. By analyzing the correlation between different body composition indexes and COPD patients, we can provide new research ideas for the prognosis judgment or intervention of COPD disease.

Influence of enlarged waist circumference and hypertriglyceridemia in the severity of acute pancreatitis: A retrospective study.

INTRODUCTION: Acute pancreatitis is a frequent inflammatory gastrointestinal disorder with high mortality rates in severe forms. An early evaluation of its severity is key to identify high-risk patients. This study assessed the influence of waist circumference together with hypertriglyceridemia on the severity of acute pancreatitis. METHODS: A retrospective study was performed, which included patients admitted with acute pancreatitis from March 2014 to March 2021. Patients were classified into four phenotype groups according to their waist circumference and triglyceride levels: normal waist circumference and normal triglycerides; normal waist circumference and elevated triglycerides; enlarged waist circumference and normal triglycerides; and enlarged waist circumference and triglycerides, namely hypertriglyceridemic waist (HTGW) phenotype. Clinical outcomes were compared among the groups. RESULTS: 407 patients were included. Systemic inflammatory response syndrome (SIRS) and intensive care unit admission were most frequent among patients in the HTGW phenotype group, at 44.9% and 8.2%, respectively. The incidence of local complications was higher in the normal waist circumference with elevated triglycerides group (27%). On multivariable analysis, an enlarged waist circumference was related to an increase of 4% and 2% in the likelihood of developing organ failure and SIRS, respectively. Hypertriglyceridemia was an independent risk factor for both organ failure and local complications. CONCLUSIONS: HTGW phenotype was significant related to developing of SIRS. It seems that an enlarged waist circumference has a greater role than hypertriglyceridemia in the development of SIRS. Obesity and hypertriglyceridemia were both independent risk factors for organ failure. Patients with hypertriglyceridemia were more likely to develop local complications.

Waist Circumference Is an Essential Factor in Predicting Insulin Resistance and Early Detection of Metabolic Syndrome in Adults.

BACKGROUND: Metabolic syndrome (Met-S) is considered one of the most important health problems of the 21st century. It includes a group of metabolic disorders that increase the risk of cardiovascular diseases such as overweight and obesity, elevated lipid profile and blood pressure and insulin resistance (IR). Based on the information mentioned above in which there seems to be a relationship between IR and Met-S, the objective of this work was twofold: on the one hand, to assess the relationship between the values of different insulin resistance risk scales and Met-S determined with three different scales, and on the other, to determine whether any of the components of Met-S predispose more to the appearance of IR. METHODS: A descriptive cross-sectional study of 418,343 workers. Waist circumference was measured and evaluated together with six formulas to assess the insulin resistance index. Categorical variables were evaluated by calculating the frequency and distribution of each one. For quantitative variables, mean and standard deviation were determined, and Student's t-test was applied, while for qualitative variables, the chi-square test was performed. The usefulness of the different risk scales for insulin resistance for predicting metabolic syndrome was evaluated using ROC curves, the area under the curve (AUC), as well as their cut-off points for sensitivity, specificity, and the Youden index. RESULTS: People with metabolic syndrome applying any criteria had higher values in the IR risk scales. The different IR scales made it possible to adequately classify people with metabolic syndrome. Of the three definitions of Met-S, the one that showed the greatest relationship with IR was IDF. CONCLUSIONS: Most risk scales for insulin resistance enable the presence of metabolic syndrome to be adequately classified, finding the best ones if the International Diabetes Federation (IDF) criteria are applied. Of the elements included in the Met-S, the one that seems to increase the risk of presenting IR the most is waist circumference; hence, the Met-S definition that is most related to IR is that of the IDF, which is the only one of the three in which a high value of waist circumference is necessary to be able to diagnose Met-S. Waist circumference can be considered the central essential component for detecting insulin resistance and, therefore, the early detection of metabolic syndrome.

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.

Effect of hypertensive disorders of pregnancy on pubertal development in daughters and sons: a systematic review and meta-analysis.

Hypertensive disorders of pregnancy (HDP) are a major cause of maternal and offspring morbidity and mortality worldwide. Several studies in recent years have focused on the link between HDP and pubertal development in offspring. The goal of this study was to synthesize the published literature on the effect of HDP on pubertal development in offspring by a systematic review and meta-analysis (PROSPERO 2021: CRD42020148736). A systematic literature search of several databases was conducted through December 2021, focusing on studies reporting pubertal development in offspring of women with and without HDP exposure. Primary outcomes of interest included offspring body mass index (BMI), height, waist and hip circumference, fat mass, pubarche, thelarche, and age at menarche. A total of 21 studies were finally included. Significantly higher values of BMI (SMD: 0.16 [0.11, 0.22]; p < 0.01) and waist circumference (SMD: 0.21 [0.14, 0.29]; p < 0.01) were found in offspring exposed to maternal HDP. In addition, a tendency of the early development of secondary sexual characteristics only in daughters was presented in offspring whose mothers were diagnosed with HDP. The findings imply a possible effect of HDP on pubertal development in offspring, especially for their BMI and waist circumference, which highlights the importance of focusing on adolescent developmental abnormalities in offspring exposed to HDP.

Association of BMI trajectories with cardiometabolic risk among low-income Mexican American children.

BACKGROUND: The aim of this study was to identify distinct trajectories of BMI growth from 2 to 7.5 years and examine their associations with markers of cardiometabolic risk at age 7.5 years among a sample of low-income Mexican American children. METHODS: This longitudinal cohort study recruited 322 mother-child dyads to participate prenatally and at child age 2, 3, 4.5, 6, and 7.5 years. Child height/weight, waist circumference, and blood pressure were assessed at each time point. Blood was collected from child at 7.5 years. RESULTS: Covarying for birthweight, three BMI trajectories were identified: Low-Stable BMI (73% of the sample), High-Stable BMI (5.6% of the sample), and Increasing BMI over time (21.4% of the sample). The High-Stable and Increasing BMI classes had higher waist circumference and systolic blood pressure and lower HDL-c than the Low-Stable BMI class (ps < 0.05). Among children with BMIs below the 85th percentile, 16% had three or more cardiometabolic risk indicators. CONCLUSIONS: BMI classes were consistent with existing literature. For youth, standard medical practice is to examine cardiometabolic risk indicators when BMI is high; however, this practice would miss 16% of youth in our sample who exhibit cardiometabolic risk but do not screen in based on BMI. IMPACT: Research indicates Mexican American youth are at risk for cardiometabolic dysregulation relative to other ethnic groups, yet there is a paucity of longitudinal research. An Increasing BMI and a High-Stable BMI class were associated with larger waist circumference, higher systolic blood pressure, and lower HDL cholesterol than the Low-Stable BMI class. BMI trajectories in childhood predict cardiometabolic risk indicators. As the sole screener for deciding when to test cardiometabolic indicators, BMI alone will miss some children exhibiting cardiometabolic dysregulation.

Body mass index, waist circumference and cardiovascular diseases in transitional ages (40 and 66 years).

BACKGROUND: There is lack of data on effect modification by age on the association between body mass index (BMI) or waist circumference (WC) and cardiovascular diseases (CVDs). We aimed to investigate the impact of BMI and WC on incident CVDs in individuals aged 40 and 66 years. METHODS: Overall, 2 430 510 participants who underwent a national health screening for transitional ages provided by the Korean National Health Insurance Service between 2009 and 2012 were included. The adjusted hazard ratios and 95% confidence intervals for myocardial infarction (MI), ischaemic stroke and CVDs as a composite outcome of MI and ischaemic stroke were calculated using multivariable Cox proportional hazard regression analysis. RESULTS: During a mean follow-up of 7.7 years, 24 884 MI and 29 415 ischaemic stroke events occurred. Among participants aged 40 years, there was a J-shaped association of BMI with incident CVDs, MI and ischaemic stroke with nadir at BMI 18.5-22.9 kg/m2 (P for trend < 0.001 for all). Among those aged 66 years, there were significant U-shaped associations of BMI with CVDs and MI with nadir at a BMI of 23.0-24.9 kg/m2 (P for trend 0.013 and 0.017, respectively). WC was linearly associated with all study outcomes in both age groups (P for trend < 0.001). The impact of general and abdominal obesity on both study outcomes was more prominent in those aged 40 years than in those aged 66 years (P for interaction < 0.001). CONCLUSIONS: To prevent cardiovascular risk, weight loss intervention should be cautiously implemented and individualized according to age. The maintenance of muscle mass may be essential in managing weight loss particularly in older population.

Impact of a national screening programme on obesity and cardiovascular risk factors.

AIMS: The benefits of nationwide screening and tailored health guidance on improving obesity and cardiovascular risk factors is uncertain. The aim of the present study was to investigate the association of the national health screening and tailored health guidance with population health outcomes. METHODS AND RESULTS: A fuzzy regression discontinuity design analysed data of men and women aged 40-74 years who participated in a nationwide health screening programme in Japan from 1 April 2008 to 31 March 2019 and were recorded in the Japanese National Database. Exposure was assignment to the national health guidance of counselling on healthy lifestyle and clinical follow-up for individuals found to have waist circumference ≥85 cm for men ≥90 cm for women with one or more cardiovascular risk factors during annual national health screening. The primary outcomes were changes in obesity status and cardiovascular risk factors 1 year after screening. Of 3 490 112 men and 2 328 929 women, the assignment to the health guidance resulted in small reductions in obesity parameters: waist circumference; men, -0.27 cm [95% confidence interval (CI) -0.29 to -0.26]; women -0.34 (-0.41 to -0.27); body mass index, -0.07 kg/m2 (-0.075 to -0.066); -0.11 kg/m2 (-0.13 to -0.10); weight, -0.21 kg (-0.22 to -0.19); -0.28 kg (-0.32 to -0.24) that attenuated over time. Short-term improvements were also observed in blood pressure, haemoglobin A1c, fasting glucose and triglycerides across both sexes. CONCLUSION: A nationwide health screening programme was associated with only small, and transient improvements in obesity and cardiovascular risk factors.

In this national cohort of 5 819 041 men and women in Japan, we provide robust evidence that nationwide assignment to the health guidance resulted in only a small reduction in obesity parameters in men and women which was lost within only a few years. Exposure to the health guidance also failed to lead to long-term changes in cardiovascular risk factors and lifestyle behaviours. Japan is the only country with large populace across the globe that provides the annual prevention programme, and thus this study renders unique results of international importance.

Relationship between measures of adiposity and hypertension amongst secondary school adolescents in an urban setting in Cameroon.

Introduction: measures of obesity such as body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR) have been shown to be associated with high blood pressure (BP) in children and adolescents. The purpose of this study was to determine the proportion of secondary school adolescents with elevated BP and high BP in relation to some measures of adiposity (BMI, WC, WHtR) and to examine the association between BP and adiposity indices amongst the children. Methods: the study was an institutional-based cross-sectional study involving 534 adolescents (mean age 15.1 ± 2.3 years) attending 4 secondary schools (2 public and 2 private) in the Bamenda municipality of the North West Region of Cameroon. Anthropometric and BP measurements were carried out following standard procedures. Diagnosis of hypertension in the children was done by obtaining three elevated systolic or diastolic BP readings (BP ≥ 95th percentile for the child's age, sex and height). Linear regression was used to determine the relationship between BP and some measures of adiposity (BMI, WC, WHtR) amongst the children. Results: the prevalence of elevated BP and hypertension amongst the study participants was 33.3% and 33.3% in the BMI-obese children, 25.9% and 25.2% in the WC overweight/obese children and 29.4% and 41.2% in the "high risk" (WHtR ≥ 0.5) children respectively. Body mass index-obese, WC overweight/obese and "high risk" (WHtR ≥ 0.5) children had a significantly (p <0.05) higher mean SBP and DBP compared to their healthy weight counterparts. Linear regression indicated a significant association (p <0.001) between WC (ß=0.75; 95% CI = 0.57, 0.92), BMI (ß=0.88; 95% CI = 0.49, 1.25) and WHtR (ß= 67.08; 95% CI = 45.64, 88.51) with systolic BP for the unadjusted analysis. After adjusting for age, gender and school type, only WC (ß= 0.66; 95% CI = (0.43, 0.89) showed a positive significant (p <0.001) relationship with systolic BP. Conclusion: this study has demonstrated that WC is positively associated with high BP in children and adolescents. Thus, WC can be used in predicting children and adolescents with a high risk of developing high BP in our setting.