Hormone profiling, including anti-Müllerian hormone (AMH), for the diagnosis of polycystic ovary syndrome (PCOS) and characterization of PCOS phenotypes.

Objective was to evaluate serum anti-Müllerian hormone (AMH) levels in polycystic ovary syndrome (PCOS) and in its different phenotypes in relation to clinical, endocrine and metabolic parameters using a new automated VIDAS® method and to compare it with the Gen II method. Study design was multi-center study including 319 PCOS women and 109 healthy controls. Serum AMH levels measured using VIDAS® were significantly higher in PCOS women than controls (p < .001), and they correlated with those measured using the AMH Gen II method. An AMH cutoff value of 42.1 pmol/L distinguished PCOS women from controls with 67% sensitivity and 83% specificity. The PCOS women with three Rotterdam criteria or hyperandrogenism displayed significantly higher AMH levels compared with those with two Rotterdam criteria or normoandrogenism. In PCOS, AMH levels correlated positively with luteinizing hormone (LH), androgen and sex hormone-binding globulin (SHBG) levels and negatively with BMI, abdominal obesity, follicle-stimulating hormone (FSH), fasting glucose and insulin, and insulin resistance. In conclusion, AMH evaluated using the VIDAS® method distinguished PCOS patients from healthy controls relatively well, especially in those with more severe phenotypes. Further studies are needed to establish whether AMH measurements can distinguish PCOS patients with different metabolic risk factors.

The association of neck circumference with risk of metabolic syndrome and its components in adults: A systematic review and meta-analysis.

BACKGROUND & AIMS: Several prior studies suggested that neck circumference (NC) is a reliable diagnostic tool for risk of metabolic syndrome (MetS) and its features. However, not all studies support this view. Therefore, we aimed to perform a meta-analysis to summarize the association between NC with MetS and its components in adult populations. METHODS AND RESULTS: PubMed/Medline, Web of Knowledge, and Scopus electronic databases were searched until May 31, 2017 to find relevant English-language papers. We included studies that examined the association of NC with risk of MetS, or at minimum, one of its components as outcomes. Of 2628 publications identified, 19 papers met selection criteria. We found no association between NC and MetS (odd ratio (OR): 0.73; 95% CI: 0.003, 1.47). However, there was a positive association between NC and waist circumference (WC) (r = 0.85; 95%: 0.75, 0.95; I2: 98.2%; p = 0.0001), BMI: (r:0.88; 95% CI: 0.74, 0.91, I2:97.3%), triglycerides (TG) (OR: 1.87; 95% CI: 1.60, 2.19; I2:58.4%; p = 0.03), TC (r:0.14; 95%CI: 0.05, 0.23, I2:94.1%), LDL-C (r: 0.18; 95%CI: 0.07, 0.29, I2:94.3%), hypertension (OR: 1.94; 95% CI:1.43, 2.64, I2:87.3%), systolic (r: 0.21, 95%CI: 0.19, 0.23; I2:67.1%) and diastolic blood pressures (r: 0.20, 95%CI: 0.16, 0.23; I2:79.7%), low HDL-C (r:-0.21; 95% CI: -0.26, -0.15, I2 = 92.5%), as well as fasting blood sugar (FBS) concentrations (r: 0.20, 95%CI: 0.16, 0.24; I2:88.1%). CONCLUSION: Subjects with higher NC were at approximately two-fold higher risk for hypertriglyceridemia compared to those with lower NC. We found positive associations between NC, WC, BMI, hypertension, FBS, TC, LDL-C, SBP, DBP, and low HDL-C concentrations. However, heterogeneity was considerably high. Therefore, the findings should be taken with caution. Future studies using longitudinal designs are needed to further understand the association between NC and features of MetS.

Follicle-stimulating hormone associates with metabolic factors in postmenopausal women.

Current studies have focused more on the relationships among estrogen, androgen, and metabolic syndrome (MetS). The main aim of the study was to investigate whether the variation of FSH is associated with metabolic factors in postmenopausal women. A total of 561 postmenopausal women aged 39-69 years were selected. FSH, estradiol, fasting blood glucose, and lipid profiles were analyzed. Compared with women in the highest FSH quartile, women in the lowest quartile had higher body mass index (BMI), fast blood glucose (FBG), triglyceride (TG), blood pressure, and serum estradiol (E2) but lower high-density lipoprotein (HDL) (all p < .05). Compared with women in the groups of normal levels of MetS biomarkers, women in the abnormal groups had lower FSH (all p < .01). Increased quartiles of FSH were associated with significantly decreased rates of abnormal levels of metabolic factors (all p < .05). High FSH levels had protective effects regarding SBP, DBP, and FBG, with odds ratios (ORs) of 0.84 (95% CI 0.76-0.92, p < .001), 0.85 (95% CI 0.78-0.94, p < .01), 0.90 (95% CI 0.83-0.98, p < .01), respectively. Low FSH appears to be a risk factor of all domains of MetS in postmenopausal women, which merits further study.

Burden of disease attributable to suboptimal diet, metabolic risks and low physical activity in Ethiopia and comparison with Eastern sub-Saharan African countries, 1990-2015: findings from the Global Burden of Disease Study 2015.

BACKGROUND: Twelve of the 17 Sustainable Development Goals (SDGs) are related to malnutrition (both under- and overnutrition), other behavioral, and metabolic risk factors. However, comparative evidence on the impact of behavioral and metabolic risk factors on disease burden is limited in sub-Saharan Africa (SSA), including Ethiopia. Using data from the Global Burden of Disease (GBD) Study, we assessed mortality and disability-adjusted life years (DALYs) attributable to child and maternal undernutrition (CMU), dietary risks, metabolic risks and low physical activity for Ethiopia. The results were compared with 14 other Eastern SSA countries. METHODS: Databases from GBD 2015, that consist of data from 1990 to 2015, were used. A comparative risk assessment approach was utilized to estimate the burden of disease attributable to CMU, dietary risks, metabolic risks and low physical activity. Exposure levels of the risk factors were estimated using spatiotemporal Gaussian process regression (ST-GPR) and Bayesian meta-regression models. RESULTS: In 2015, there were 58,783 [95% uncertainty interval (UI): 43,653-76,020] or 8.9% [95% UI: 6.1-12.5] estimated all-cause deaths attributable to CMU, 66,269 [95% UI: 39,367-106,512] or 9.7% [95% UI: 7.4-12.3] to dietary risks, 105,057 [95% UI: 66,167-157,071] or 15.4% [95% UI: 12.8-17.6] to metabolic risks and 5808 [95% UI: 3449-9359] or 0.9% [95% UI: 0.6-1.1] to low physical activity in Ethiopia. While the age-adjusted proportion of all-cause mortality attributable to CMU decreased significantly between 1990 and 2015, it increased from 10.8% [95% UI: 8.8-13.3] to 14.5% [95% UI: 11.7-18.0] for dietary risks and from 17.0% [95% UI: 15.4-18.7] to 24.2% [95% UI: 22.2-26.1] for metabolic risks. In 2015, Ethiopia ranked among the top four countries (of 15 Eastern SSA countries) in terms of mortality and DALYs based on the age-standardized proportion of disease attributable to dietary and metabolic risks. CONCLUSIONS: In Ethiopia, while there was a decline in mortality and DALYs attributable to CMU over the last two and half decades, the burden attributable to dietary and metabolic risks have increased during the same period. Lifestyle and metabolic risks of NCDs require more attention by the primary health care system of the country.

Potential unfavorable impacts of BDNF Val66Met polymorphisms on metabolic risks in average population in a longevous area.

BACKGROUND: Brain-derived neurotrophic factor (BDNF) has been implicated in cognitive performance and the modulation of several metabolic parameters in some disease models, but its potential roles in successful aging remain unclear. We herein sought to define the putative correlation between BDNF Val66Met and several metabolic risk factors including BMI, blood pressure, fasting plasma glucose (FPG) and lipid levels in a long-lived population inhabiting Hongshui River Basin in Guangxi. METHODS: BDNF Val66Met was typed by ARMS-PCR for 487 Zhuang long-lived individuals (age ≥ 90, long-lived group, LG), 593 of their offspring (age 60-77, offspring group, OG) and 582 ethnic-matched healthy controls (aged 60-75, control group, CG) from Hongshui River Basin. The correlations of genotypes with metabolic risks were then determined. RESULTS: As a result, no statistical difference was observed on the distribution of allelic and genotypic frequencies of BDNF Val66Met among the three groups (all P > 0.05) except that AA genotype was dramatically higher in females than in males of CG. The HDL-C level of A allele (GA/AA genotype) carriers was profoundly lower than was non-A (GG genotype) carriers in the total population and the CG (P = 0.009 and 0.006, respectively), which maintained in females, hyperglycemic and normolipidemic subgroup of CG after stratification by gender, BMI, glucose and lipid status. Furthermore, allele A carriers, with a higher systolic blood pressure, exhibited 1.63 folds higher risk than non-A carriers to be overweight in CG (OR = 1.63, 95% CI: 1.05 - 2.55, P = 0.012). Multiple regression analysis displayed that the TC level of LG reversely associated with BDNF Val66Met genotype. CONCLUSIONS: These data suggested that BDNF 66Met may play unfavorable roles in blood pressure and lipid profiles in the general population in Hongshui River area which might in part underscore their poorer survivorship versus the successful aging individuals and their offspring.

Factors affecting aging cognitive function among community-dwelling older adults.

AIM: The study purpose was to determine factors affecting aging cognitive function of 3,645 community-dwelling older adults in Korea. METHODS: The Hasegawa Dementia Scale assessed aging cognitive function, blood analyses and anthropometrics assessed cardio-metabolic risk factors, and the Geriatric Depression Scale Short Form Korean Version assessed depressive symptoms. RESULTS: Participants with poor aging cognitive function were more likely to be in the late age group (≥75 y) and currently smoking and have a medical history of stroke, high body mass index, and high level of depressive symptoms; they were also less likely to engage in regular meals and physical activities. CONCLUSION: Regular meals and physical activities may be primary factors for clinical assessment to identify older adults at risk for aging cognitive function. With aging, depressive symptoms and other unhealthy lifestyle behaviours should be managed to prevent cognitive function disorders.

Systematic review of impact of lifestyle-modification programs on metabolic risks and patient-reported outcomes in adults with metabolic syndrome.

BACKGROUND: Metabolic syndrome (MetS) is primarily attributed to an unhealthy lifestyle, which is a modifiable risk factor. Researchers have been exploring various strategies, including lifestyle-modification programs (LMPs), to prevent the progression of MetS. However, the effectiveness of LMPs on metabolic risks and patient-reported outcomes (PROs) among adults with MetS remains inconclusive. AIM: To evaluate the effectiveness of LMPs on the metabolic risks and PROs among adults with MetS. METHODS: A systematic review of randomized controlled trials published from January 1985 to June 2014 was conducted. The review extracted LMP interventions that included outcomes on the metabolic risks and PROs (quality of life and any other psychological health indicators). The quality of the included studies was assessed using the Cochrane Collaboration criteria. RESULTS: Among the five trials included, the most commonly applied intervention components were diet plans, supervised exercise, health education, individual counseling, behavioral modification, and motivational interviewing. Three fifths of the studies were nurse-led, and only one of the selected trials was theory-guided. LMPs can effectively reduce triglyceride levels, waist circumference, and systolic blood pressure. However, few trials consistently confirmed the benefits of metabolic risks, and none revealed a significant effect on high-density lipoprotein, fasting blood glucose, or any PRO, except quality of life. The duration of LMPs in the included trials ranged from 4 to 24 weeks, and durations of at least 12 weeks significantly improved quality of life. LINKING EVIDENCE TO ACTION: LMPs had positive effects on some metabolic risks and on quality of life, whereas longer-duration LMPs may have highly beneficial effects on quality of life. The essential elements of LMPs need to be evaluated more thoroughly to determine their effectiveness. Larger and more rigorous randomized controlled trials are required to assess the effectiveness of LMPs on metabolic risks and PROs among adults with MetS.

Burden of cardiovascular disease attributable to metabolic risks in 204 countries and territories from 1990 to 2021.

AIMS: To evaluate the global cardiovascular disease (CVD) burden attributable to metabolic risks in 204 countries and territories from 1990 to 2021. METHODS AND RESULTS: Following the methodologies used in the Global Burden of Disease Study 2021, this study analyzed CVD deaths and disability-adjusted life-years (DALYs) attributable to metabolic risks by location, age, sex, and socio-demographic index (SDI). In 2021, metabolic risks accounted for 13.59 million CVD deaths (95% UI 12.01 to 15.13) and 287.17 million CVD DALYs (95% UI 254.92 to 316.32) globally, marking increases of 63.3% and 55.5% since 1990, respectively. Despite these increases, age-standardised mortality and DALY rates have significantly declined. The highest age-standardised rates of metabolic risks-attributable CVD mortality and DALYs were observed in Central Asia and Eastern Europe, while the lowest rates were found in High-income Asia Pacific, Australasia, and Western Europe, all of which are high SDI regions. Among the metabolic risks, high systolic blood pressure emerged as the predominant factor, contributing to the highest numbers of CVD deaths [10.38 million (95% UI 8.78 to 12.03)] and DALYs [14.52 million (95% UI 180.42 to 247.57)] in 2021, followed by high LDL cholesterol. CONCLUSION: Our study highlights the persistent and significant impact of metabolic risks on the global CVD burden from 1990 to 2021, emphasizing the need of designing public health strategies that align with regional healthcare capacities and demographic differences to effectively reduce these effects through enhanced international collaboration and specific policies.

Global, regional, and national burden of atrial fibrillation/flutter related to metabolic risks over three decades: estimates from the global burden of disease study 2019.

AIMS: Atrial fibrillation/atrial flutter (AF/AFL) remains a significant public health concern on a global scale, with metabolic risks playing an increasingly prominent role. This study aimed to investigate comprehensive epidemiological data and trends concerning the metabolic risks related-AF/AFL burden based on the data from the Global Burden of Disease study in 2019. METHODS AND RESULTS: The analysis of disease burden focused on numbers, age-standardized rates of deaths, disability-adjusted life years (DALYs), and estimated annual percentage change, while considering factors of age, sex, sociodemographic index (SDI), and locations. In 2019, there was a culmination of 137 179 deaths and 4 099 146 DALYs caused by metabolic risks related-AF/AFL worldwide, with an increase of 162.95% and 120.30%, respectively from 1990. High and high-middle SDI regions predominantly carried the burden of AF/AFL associated with metabolic risks, while a shift towards lower SDI regions had been occurring. Montenegro had the highest recorded death rate (7.6 per 100 000) and DALYs rate (146.3 per 100 000). An asymmetrically inverted V-shaped correlation was found between SDI and deaths/DALYs rates. Moreover, females and the elderly exhibited higher AF/AFL burdens, and young adults (over 40 years old) also experienced an annual increase. CONCLUSION: The global AF/AFL burden related to metabolic risks has significantly increased over the past three decades, with considerable spatiotemporal, gender-based, and age-related heterogeneity. These findings shed valuable light on the trends in the burden of metabolic risks related-AF/AFL and offered insights into corresponding strategies.

Time trends in Alzheimer's disease mortality attributable to metabolic risks and smoking in China from 1990 to 2019: an age-period-cohort analysis.

Background: With the increase in the aging population worldwide, Alzheimer's disease has become a rapidly increasing public health concern. In the Global Burden of Disease Study 2019, there are three risk factors judged to have evidence for a causal link to Alzheimer's disease and other dementias: smoking, high body-mass index (HBMI), and high fasting plasma glucose (HFPG). Objective: This study aimed to analyze trends in AD mortality and the relevant burden across China from 1990 to 2019, as well as their correlation with age, period, and birth cohort. Methods: The data were extracted from the GBD 2019. Trends in AD mortality attributable to metabolic risks (HFPG and HBMI) and smoking were analyzed using Joinpoint regression. The age-period-cohort (APC) model was used to evaluate cohort and period effects. Results: From 1990 to 2019, the overall age-standardized mortality rate of AD increased, especially in women. There was an increase in AD mortality due to smoking in the net drift, and it was more significant in women (0.46, 95%CI = [0.09, 0.82]) than men (-0.03, 95%CI = [-0.11, 0.05]). For the cause of HFPG, the net drift values for men and women were 0.82% and 0.43%. For HBMI, the values were 3.14% and 2.76%, respectively, reflecting substantial increases in AD mortality. Conclusion: Time trends in AD mortality caused by metabolic risks and smoking in China from 1990 to 2019 have consistently increased. Therefore, it is necessary to prevent excessive weight gain and obesity during the later stages of life, especially for females.

Trends in breast cancer mortality attributable to metabolic risks in Chinese women from 1990 to 2019: an age-period-cohort analysis.

Objective: Metabolic risks (MRs) are the primary determinants of breast cancer (BC) mortality among women. This study aimed to examine the changing trends in BC mortality associated with MRs and explore how they related to age, time period, and birth cohorts in Chinese women aged 25 and above. Methods: Data were sourced from the Global Burden of Disease Study 2019 (GBD2019). The BC mortality trajectories and patterns attributable to MRs were assessed using Joinpoint regression. The age-period-cohort (APC) model was employed to evaluate cohort and time period effects. Results: The age-standardized mortality rate (ASMR) of BC mortality linked to MRs displayed an escalating trend from 1990 to 2019, demonstrating an average annual percentage change (AAPC) of 1.79% (95% CI: 1.69~1.87). AAPCs attributable to high fasting plasma glucose (HFPG) and high body mass index (HBMI) were 0.41% (95% CI: 0.32~0.53) and 2.75% (95% CI: 2.68~2.82), respectively. APC analysis revealed that BC mortality due to HBMI in women aged 50 and above showed a rise with age and mortality associated with HFPG consistently demonstrated a positive correlation with age. The impact of HBMI on BC mortality significantly outweighed that of HFPG. The risk of BC mortality linked to HBMI has steadily increased since 2005, while HFPG demonstrated a trend of initial increase followed by a decrease in the period effect. Regarding the cohort effect, the relative risk of mortality was greater in the birth cohort of women after the 1960s of MRs on BC mortality, whereas those born after 1980 displayed a slight decline in the relative risk (RR) associated with BC mortality due to HBMI. Conclusion: This study suggests that middle-aged and elderly women should be considered as a priority population, and control of HBMI and HFPG should be used as a primary tool to control metabolic risk factors and effectively reduce BC mortality.

Impact of a lifestyle intervention program on cardio-metabolic parameters among obese adults: A comparative population-based study in West Bengal, India.

The obesity epidemic is not only limited to high-income or urbanized societies, but has also become prevalent among rural communities, even in India. Approaches to modifiable behaviors, like unhealthy dietary habits or a sedentary lifestyle, could bring positive results among obese populations. This research aimed to assess the effectiveness of lifestyle intervention programs to prevent obesity and cardio-metabolic risks among Bengali obese adults (Body Mass Index of 25-30kg/m2). The population was selected from rural and urban communities of Hooghly district in west Bengal, India and included 121 participants (20-50 years), divided into four groups (rural male, rural female, urban male, and urban female) who underwent a 12-month intervention program. Anthropometric parameters, systolic and diastolic blood pressure, biochemical parameters (fasting blood glucose, fasting plasma insulin, Homeostatic Model Assessment for Insulin Resistance [HOMA-IR] and lipid profile), dietary habits, and physical activity profiles were assessed before the study (baseline), after 12 months of intervention (post-intervention), and after 24 months (follow-up), among all groups, to evaluate changes in data within and between the groups (rural vs. urban). The results showed a significant decline in anthropometric parameters and fasting blood glucose levels among all intervention groups, HOMA-IR in rural females, and serum triglyceride levels in urban groups. A significant improvement was noted regarding dietary habits and physical activity, even during follow-up. The impact of the intervention program did not show any rural-urban difference. The lifestyle intervention program was effective in reducing obesity and related health risks and promoting a healthy lifestyle among the target population.

Socioeconomic and contextual determinants of the burden of disease attributable to metabolic risks in childhood.

We analyze the socioeconomic and political contextual determinants of the burden of disease attributable to three metabolic risks in children: kidney dysfunction, high fasting plasma glucose, and high body-mass index. We use data from 121 countries. We matched data of the Global Burden of Disease project, World Bank and United Nations databases. The burden of disease is measured with the Disability Adjusted Life Years lost. We explore associations with four groups of variables: (i) income level, which measures differences in socioeconomic conditions between countries; (ii) income inequality, which measures within country inequalities in the income distribution; (iii) health care expenditure, which measures the resources allocated to health and healthcare, and (iv) women empowerment, which we measure in terms of both educational and political participation. Our findings point toward the need to act at the root of the underlying factors underpinning the disease burden, namely: reducing between and, particularly, within-country income inequalities, increasing the role of expenditure on health, and ensuring women empowerment and girls education. To our knowledge, this is the first study that have identified the associations of these variables with the burden of disease that is specifically attributable to metabolic risks in childhood.

Individual and community experience of rising burden of non-communicable diseases in two case districts of Nepal: a qualitative exploration.

INTRODUCTION: Non-communicable diseases (NCDs) are a rapidly emerging global health challenge with multi-level determinants popularly known as social determinants. The objective of this paper is to describe the individual and community experiences of NCDs in the two case districts of Nepal from a social determinants of health perspective. METHOD: This study adopted qualitative study design to identify the experiences of NCDs. Sixty-three interviews were conducted with key informants from different sectors pertinent to NCD prevention at two case districts and at the policy level in Nepal. Twelve focus group discussions were conducted in the selected communities within those case districts. Data collection and analysis were informed by the adapted Social Determinants of Health Framework. The research team utilised the framework approach to carry out the thematic analysis. The study also involved three sense-making workshops with policy level and local stakeholders. RESULTS: Three key themes emerged during the analysis. The first theme highlighted that individuals and communities were experiencing the rising burden of NCDs and metabolic risks in both urban and rural areas. The other two themes elaborated on the participant's experiences based on their socio-economic background and gender. Disadvantaged populations were more vulnerable to the risk of NCDs. Further, being female put one into an even more disadvantaged position in experiencing NCD risks and accessing health services. CONCLUSION: The findings indicated that key social determinants such as age, geographical location, socio-economic status and gender were driving the NCD epidemic. There is an urgent need to take action on social determinants of health through multi-sectoral action, thus also translating the spirit of the recommendations made a decade ago by the Commission on Social Determinants of Health in addressing a complex challenge like NCDs in Nepal.

Coffee Types and Type 2 Diabetes Mellitus: Large-Scale Cross-Phenotype Association Study and Mendelian Randomization Analysis.

Purpose: To explore whether coffee intake is associated with the risk of type 2 diabetes mellitus (T2DM) from a genetic perspective, and whether this association remains the same among different types of coffee consumers. Methods: We utilized the summary-level results of 12 genome-wide association studies. First, we used linkage disequilibrium score regression and cross-phenotype association analysis to estimate the genetic correlation and identify shared genes between coffee intake and T2DM in addition to some other T2DM-related phenotypes. Second, we used Mendelian randomization (MR) analysis to test whether there is a significant genetically predicted causal association between coffee intake and the risk of T2DM or other T2DM-related phenotypes. For all the analyses above, we also conducted a separate analysis for different types of coffee consumers, in addition to total coffee intake. Results: Genetically, choice for ground coffee was significantly negatively associated with the risk of T2DM and some other related risks. While coffee intake and choice for decaffeinated/instant coffee had significant positive correlation with these risks. Between these genetically related phenotypes, there were 1571 genomic shared regions, of which 134 loci were novel. Enrichment analysis showed that these shared genes were significantly enriched in antigen processing related biological processes. MR analysis indicated that higher genetically proxied choice for ground coffee can reduce the risk of T2DM (T2DM: b: -0.2, p-value: 4.70×10-10; T2DM adjusted for body mass index (BMI): b: -0.11, p-value: 4.60×10-5), and BMI (b: -0.08, p-value: 6.50×10-5). Conclusions: Compared with other types of coffee, ground coffee has a significant negative genetic and genetically predicated causal relationship with the risk of T2DM. And this association is likely to be mediated by immunity. The effect of different coffee types on T2DM is not equal, researchers on coffee should pay more attention to distinguishing between coffee types.

Factors related to trunk intramuscular adipose tissue content - A comparison of younger and older men.

The present study investigated factors related to trunk intramuscular adipose tissue (IntraMAT) content in younger and older men. Twenty-three healthy younger (20 to 29 years) and 20 healthy older men (63 to 79 years) participated in this study. The trunk IntraMAT content was measured using magnetic resonance imaging at the height of the 3rd lumbar vertebra. In addition to blood properties and physical performance, dietary intake was assessed by a self-administered diet history questionnaire. The dietary intake status was quantified using the nutrient adequacy score for the intake of 10 selected nutrients by summing the number of items that met the criteria of dietary reference intakes for Japanese individuals. The results obtained revealed that the trunk IntraMAT content was significantly higher in the older group than in the younger group (p < 0.05). In the younger group, the trunk IntraMAT content significantly correlated with systolic and diastolic blood pressure and HbA1c (rs = 0.443 to 0.464, p < 0.05). In the older group, significant and negative correlations were observed between the trunk IntraMAT content and 5-m usual walking speed, handgrip strength, and nutrient adequacy scores (rs = -0.485 to -0.713, p < 0.05). These results indicate that factors associated with the trunk IntraMAT content differed in an age dependent manner. In the younger group, the trunk IntraMAT content correlated with the metabolic status such as blood pressure and HbA1c. In the older group, physical performance and the dietary intake status negatively correlated with the trunk IntraMAT content.

Retinol-binding protein 4 in obesity and metabolic dysfunctions.

Excessive increased adipose tissue mass in obesity is associated with numerous co-morbid disorders including increased risk of type 2 diabetes, fatty liver disease, hypertension, dyslipidemia, cardiovascular diseases, dementia, airway disease and some cancers. The causal mechanisms explaining these associations are not fully understood. Adipose tissue is an active endocrine organ that secretes many adipokines, cytokines and releases metabolites. These biomolecules referred to as adipocytokines play a significant role in the regulation of whole-body energy homeostasis and metabolism by influencing and altering target tissues function. Understanding the mechanisms of adipocytokine actions represents a hot topic in obesity research. Among several secreted bioactive signalling molecules from adipose tissue and liver, retinol-binding protein 4 (RBP4) has been associated with systemic insulin resistance, dyslipidemia, type 2 diabetes and other metabolic diseases. Here, we aim to review and discuss the current knowledge on RBP4 with a focus on its role in the pathogenesis of obesity comorbid diseases.

Contribution of Adipose Tissue Oxidative Stress to Obesity-Associated Diabetes Risk and Ethnic Differences: Focus on Women of African Ancestry.

Adipose tissue (AT) storage capacity is central in the maintenance of whole-body homeostasis, especially in obesity states. However, sustained nutrients overflow may dysregulate this function resulting in adipocytes hypertrophy, AT hypoxia, inflammation and oxidative stress. Systemic inflammation may also contribute to the disruption of AT redox equilibrium. AT and systemic oxidative stress have been involved in the development of obesity-associated insulin resistance (IR) and type 2 diabetes (T2D) through several mechanisms. Interestingly, fat accumulation, body fat distribution and the degree of how adiposity translates into cardio-metabolic diseases differ between ethnicities. Populations of African ancestry have a higher prevalence of obesity and higher T2D risk than populations of European ancestry, mainly driven by higher rates among African women. Considering the reported ethnic-specific differences in AT distribution and function and higher levels of systemic oxidative stress markers, oxidative stress is a potential contributor to the higher susceptibility for metabolic diseases in African women. This review summarizes existing evidence supporting this hypothesis while acknowledging a lack of data on AT oxidative stress in relation to IR in Africans, and the potential influence of other ethnicity-related modulators (e.g., genetic-environment interplay, socioeconomic factors) for consideration in future studies with different ethnicities.

Prevalence and Correlates of Cardio-Metabolic Risk Factors Among Regular Street Food Consumers in Dar es Salaam, Tanzania.

BACKGROUND: Regular street food consumers (RSFCs) in Africa are at an increased risk of unhealthy eating practices, which have been associated with intermediate risk factors of cardio-metabolic diseases. However, knowledge of the magnitude and correlates of these risk factors is limited in Tanzania. This study aimed to fill this gap using data collected from RSFCs in Dar es Salaam, the largest city in Tanzania. METHODOLOGY: A cross-sectional study was carried out among 560 RSFCs in three districts of Dar es Salaam between July and September 2018. Information on socio-economic factors and demographics, behavioral risks, anthropometric and biochemical indicators was collected. Adjusted odds ratios (OR) and prevalence ratio (PR) with corresponding 95% confidence intervals (CI) were estimated using multivariable binary logistic and modified Poisson regression models, respectively. RESULTS: On average, participants consumed 11 street food meals/week. The prevalence (95% CI) of cardio-metabolic risk factors was 63.9% (60.6-69.9%) for overweight/obesity, 42.5% (38.3-46.9%) for raised blood pressure, 13.5% (10.9-16.8%) for raised triglycerides and 6.6% (4.9-9.3%) for raised glucose levels. The correlates of overweight/obesity were female vs male sex (APR=1.3; 95% CI 1.2-1.5), age of 41-64 vs 25-40 years (APR=1.4; 95% CI 1.2-1.6), high vs low income (APR=1.2; 95% CI 1.04-1.3), being married/cohabiting vs other (APR=1.2; 95% CI 1.01-1.4) and family history of diabetes vs no family history (APR=1.2; 95% CI 1.01-1.3). Age 41-64 vs 25-40 years, was the only significant factor associated with raised blood pressure APR (95% CI) 2.2 (1.7-2.9) and raised glucose AOR (95% CI) 3.9 (1.5-10.5). CONCLUSION: Our study revealed that RSFCs are at risk of cardio-metabolic health problems, especially women, middle-aged people and those with higher incomes. Transdisciplinary studies to understand the drivers of street food consumption are needed in order to inform interventions to mitigate the risk of developing cardio-metabolic diseases. These interventions should target both street food vendors and their consumers.

Predicting Body Composition From Anthropometrics.

Body weight, height, and other simple, noninvasive anthropometric measures are the cornerstones of epidemiological research. Body composition determinants such as fat and lean tissue masses and their distributions are better associated with metabolic conditions, such as diabetes, than anthropometrics alone. However, body composition is generally more challenging to measure. This analysis article comments on the manuscript by Cichosz et al that appeared in this issue of the Journal of Diabetes Science and Technology, where a machine-learning approach was developed to predict body composition using measured anthropometric parameters for potentially easier estimations of risk factors of metabolic diseases in the future.