THE ASSOCIATION BETWEEN FIRST-DEGREE FAMILY HISTORY OF DIABETES AND METABOLIC SYNDROME

Metabolic Comorbidities Among Relatives of Type 2 Diabetes Patients Stratified by Weight: Implications for Prevention and Care

Introduction

Diabetes, affecting 18.3% of young adults in Mexico (6), is influenced by both genetic factors and shared unhealthy habits within families.

Objective

To determine the metabolic abnormalities in relatives of people with T2D, stratified by body mass index.

Materials and Methods

This observational, descriptive study was conducted at the Center for Comprehensive Care for Patients with Diabetes (CAIPaDi). The study involved relatives of participants with type 2 diabetes mellitus (T2DM), recruited between June 2017 and December 2020. The relatives were people without diabetes, including spouses, siblings, offspring, or close family members aged 18 to 65 who spent over four days a week with the patient. Exclusion criteria included relatives diagnosed with diabetes, smokers, or any individual from a patient-relative pair that was excluded. All participants underwent laboratory tests and body measurements. Relatives were classified into three groups based on body weight: normal weight, overweight, and obesity. The relatives attended four monthly visits and then annual evaluations. Ethical approval was obtained.

Results

The study enrolled 220 relatives of people with T2DM, 69% women, median age 49±12 years; 19.5% with normal weight, 40.4% overweight, and 40% with obesity. Prediabetes (39.4%), dyslipidemia (67.2%), and abnormal liver function tests (32.2%) were prevalent. Higher levels of triglycerides and LDL cholesterol were associated with increased risk for comorbid conditions. Anxiety and depression showed no significant differences across weight categories.

Conclusion

These results highlight the importance of overweight and obesity as factors associated with the presence of comorbidities and the metabolic syndrome. It is essential to implement strategies to promote healthy habits among family members of people with diabetes, especially in those who are overweight or obese to reduce the risk of developing future metabolic and cardiovascular diseases.

A machine learning approach for type 2 diabetes diagnosis and prognosis using tailored heterogeneous feature subsets

Type 2 diabetes (T2D) is becoming one of the leading health problems in Western societies, diminishing quality of life and consuming a significant share of healthcare resources. This study presents machine learning models for T2D diagnosis and prognosis, developed using heterogeneous data from a Spanish population dataset (Di@bet.es study). The models were trained exclusively on individuals classified as controls and undiagnosed diabetics, ensuring that the results are not influenced by treatment effects or behavioral changes due to disease awareness. Two data domains are considered: environmental (patient lifestyle questionnaires and measurements) and clinical (biochemical and anthropometric measurements). The preprocessing pipeline consists of four key steps: geospatial data extraction, feature engineering, missing data imputation, and quasi-constancy filtering. Two working scenarios (Environmental and Healthcare) are defined based on the features used, and applied to two targets (diagnosis and prognosis), resulting in four distinct models. The feature subsets that best predict the target have been identified based on permutation importance and sequential backward selection, reducing the number of features and, consequently, the cost of predictions. In the Environmental scenario, models achieved an AUROC of 0.86 for diagnosis and 0.82 for prognosis. The Healthcare scenario performed better, with an AUROC of 0.96 for diagnosis and 0.88 for prognosis. A partial dependence analysis of the most relevant features is also presented. An online demo page showcasing the Environmental and Healthcare T2D prognosis models is available upon request.

Comparison of Incidence of Metabolic Syndrome and Five Obesity- and Lipid-Linked Indicators for Predicting Metabolic Syndrome Among Normal-Weight and Overweight Adults

Purpose

Metabolic syndrome (MetS) is an increasingly prevalent issue in China's public health landscape. Few studies have investigated the metabolic syndrome (MetS) in overweight people. We proposed to analyze and contrast the occurrence of MetS in normal-weight and overweight individuals and identify potential indicators for forecasting MetS in adults in Zhejiang Province.

Methods

This cohort study included 359 adults aged 40-65 years and followed up for five years in Zhejiang Province. The study assessed the predictive capabilities of five indicators linked to obesity and lipid levels, namely body mass index (BMI), waist-to-height ratio (WHtR), triglyceride-glucose index (TyGi), and their combined indices (TyG-BMI, TyG-WHtR). The evaluation was done employing the area under the Receiver Operating Characteristic (ROC) Curve (AUC). DeLong test was applied to compare area under different ROC curves.We evaluated the relationships between five variables and MetS using multivariate logistic regression.

Results

In normal-weight individuals, the five-year cumulative incidence of MetS was 21.85%, but in overweight people, it was 60.33%. After adjusting for confounding factors, BMI, WHtR, TyGi, TyG-BMI, and TyG-WHtR were independently linked to MetS in normal-weight individuals, while BMI, TyGi, TyG-BMI, and TyG-WHtR were independently linked to MetS in overweight individuals. In normal-weight individuals, the WHtR (AUC=0.738 and optimal threshold value =0.469) and TyG-WHtR (AUC=0.731 and optimal threshold value =4.121) had the larger AUC, which was significantly greater than that of the different three indicators. The TyG-BMI (AUC=0.769 and optimal threshold value = 211.099) was the best predictor of MetS in overweight individuals.

Conclusion

The five-year cumulative incidence of MetS in overweight people was approximately triple that of normal-weight people in Zhejiang Province. In the overweight population, the TyG-BMI performed better than the other indices in predicting MetS. WHtR and TyG-WHtR outperformed BMI, TyGi, and TyG-BMI in anticipating MetS in a normal-weight population.

Sex and population differences in the cardiometabolic continuum: a machine learning study using the UK Biobank and ELSA-Brasil cohorts

BACKGROUND

The temporal relationships across cardiometabolic diseases (CMDs) were recently conceptualized as the cardiometabolic continuum (CMC), sequence of cardiovascular events that stem from gene-environmental interactions, unhealthy lifestyle influences, and metabolic diseases such as diabetes, and hypertension. While the physiological pathways linking metabolic and cardiovascular diseases have been investigated, the study of the sex and population differences in the CMC have still not been described.

METHODS

We present a machine learning approach to model the CMC and investigate sex and population differences in two distinct cohorts: the UK Biobank (17,700 participants) and the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) (7162 participants). We consider the following CMDs: hypertension (Hyp), diabetes (DM), heart diseases (HD: angina, myocardial infarction, or heart failure), and stroke (STK). For the identification of the CMC patterns, individual trajectories with the time of disease occurrence were clustered using k-means. Based on clinical, sociodemographic, and lifestyle characteristics, we built multiclass random forest classifiers and used the SHAP methodology to evaluate feature importance.

RESULTS

Five CMC patterns were identified across both sexes and cohorts: EarlyHyp, FirstDM, FirstHD, Healthy, and LateHyp, named according to prevalence and disease occurrence time that depicted around 95%, 78%, 75%, 88% and 99% of individuals, respectively. Within the UK Biobank, more women were classified in the Healthy cluster and more men in all others. In the EarlyHyp and LateHyp clusters, isolated hypertension occurred earlier among women. Smoking habits and education had high importance and clear directionality for both sexes. For ELSA-Brasil, more men were classified in the Healthy cluster and more women in the FirstDM. The diabetes occurrence time when followed by hypertension was lower among women. Education and ethnicity had high importance and clear directionality for women, while for men these features were smoking, alcohol, and coffee consumption.

CONCLUSIONS

There are clear sex differences in the CMC that varied across the UK and Brazilian cohorts. In particular, disadvantages regarding incidence and the time to onset of diseases were more pronounced in Brazil, against woman. The results show the need to strengthen public health policies to prevent and control the time course of CMD, with an emphasis on women.

The role of high fat diet on serum uric acid level among healthy male first degree relatives of type 2 diabetes mellitus

First-degree relatives (FDR) of type 2 diabetes mellitus have increased risk of developing insulin resistance-related disorders including hyperuricemia. We investigated metabolic profile and serum uric acid (SUA) metabolism in response to high-fat diet among healthy male FDR in comparison to those without family history of diabetes. A total of 30 FDR and 30 non-FDR subjects completed a 5-days-hypercaloric diet with fat added to regular daily intake. Despite similar insulin response, FDR displayed different changes in SUA compared to non-FDR subjects (0.26 ± 0.83 mg/dL vs - 0.21 ± 0.78 mg/dL, p = 0.028). In subgroup analyses stratified by body mass index and waist circumference, significant different SUA changes between FDR and non-FDR subjects were only found in obese (0.48 ± 0.87 mg/dL vs - 0.70 ± 0.71 mg/dL, p = 0.001) and centrally obese (0.59 ± 0.83 mg/dL vs - 0.55 ± 0.82 mg/dL, p = 0.011) subgroups. In multivariate analysis, visceral adiposity seemed mediating the different response in SUA metabolism between FDR and non-FDR subjects induced by short-term obesogenic diet.

Prevalence of metabolic syndrome and its association with oral health: First results from the Kurdish cohort study

Aims

Investigate the association between oral and dental health (ODH) and metabolic syndrome (MetS) in adults aged 35-70 years.

Methods

The study utilized data from the enrollment phase of Dehgolan prospective cohort study in the west of Iran. A cross-sectional assessment was conducted on a total of 3996 participants, involving a comprehensive oral examination and the assessment of their oral hygiene behavior (ODH). MetS was defined according to the updated National Cholesterol Education Program Adult Treatment Panel III. Logistic regression used to calculate odds ratios (ORs) and 95% confidence intervals (CIs), adjusting for sociodemographic characteristics.

Results

MetS was more prevalent among those who not daily brushing and flossing. Participants with missing teeth (MT) show higher prevalent of MetS. Being female, lower age, illiteracy, family history of diabetes, low physical activity, and salt at table were independently associated with increase odds of MetS (p < 0.05). Odds of MetS were significantly decreased with use flossing (OR = 0.75; CI = 0.60-0.93), decayed (OR = 0.83; CI = 0.72-0.97), filled (OR = 0.84; CI = 0.71-0.99), and increased with MT (OR = 1.45; CI = 1.16-1.81) as long as adjusted for ODH factors. When other potential confounder such as sociodemographic, personal and nutritional habits were adjusted, daily flossing was the only factor that still statistically decreased (OR = 0.79; CI = 0.62-0.99) the odds of MetS.

Conclusion

Daily flossing was the only factor that independently associated with MetS. Relationship of other ODH factors with Mets were confounded by sociodemographic characteristics of the participants.

Metabolic syndrome distribution based on diagnostic criteria and family history among adults in Al-Basra, Iraq

Background

Metabolic syndrome (MetS) is a collection of cardiovascular risk factors induced by insulin resistance and an inflammatory state that increases the likelihood of developing type 2 diabetes and a variety of cardiovascular disorders.

Objective

The study aims to determine the distribution of MetS by diagnostic criteria and family history among adults in Al- Basra province, southern Iraq.

Methods

A cross-sectional study was conducted at the Al- Fiaha Specialized Diabetes, Endocrine, and Metabolism Center (FDEMC) from October 2nd, 2022, to May 1st, 2023. Following ethical approval, data was obtained using a pre-tested questionnaire. All patient information was obtained from direct interviews as well as FDEMC's digital records, which controlled patient data via a Microsoft Access program and an internal network.

Results

This study included 476 people, aged 19 to 89. The sample had an equal number of males and females (238). MetS was identified in 247 people in the entire sample using the International Diabetes Federation criteria. The proportion of participants with a family history was as follows: obesity (30.0%), hypertension (44.1%), diabetes mellitus (46.6%), and cardiovascular disease (9.3%). The diagnostic criteria for MetS were as follows: high wc (94.3%), elevated glucose (69.6%), reduced highdensity lipoprotein (HDL) (80.2%), elevated TG (40.5%), and hypertension (71.7%). Controlled on glycemic status (21.1%), hypertension (61.9%), and lipids (44.1%).

Conclusion

Large wc, reduced HDL, and family histories of obesity, hypertension, diabetes mellitus, or cardiovascular disease are the most important risk factors for MetS. Participants with MetS have difficulties controlling their blood sugar, but they regulate the other MetS components.

Paediatric Obesity Evaluation for Metabolic Susceptibility (POEMS)

INTRODUCTION

Our aim was to determine whether there are risk factors which increase the risk of developing dysglycemia in a child who has increased body mass index (BMI) (overweight/obese).

RESEARCH DESIGN AND METHODS

This was a retrospective cohort study of 715 children who had increased BMI (overweight/obese). They presented to tertiary care at KK Women's and Children's Hospital, Singapore, for metabolic risk assessment. Subjects who had more than one oral glucose tolerance test were included in order to track and analyze risk factors associated with worsening glycemic status from a previously normal glucose tolerance, impaired fasting glucose, or impaired glucose tolerance (IGT) state. Demographic characteristics, birth history, family history of metabolic syndrome, metabolic comorbidities, and interventions received were recorded. Statistical analysis was performed to determine odds ratio (OR) of worsening glycemic status progression in association with an analyzed variable, adjusted for intervention received.

RESULTS

Risk factors of developing dysglycemia can be present right from birth, as participants who were born preterm had increased odds of IGT (OR: 3.49 (1.10 to 11.03)), and a greater proportion of large-for-gestational-age (LGA)/small-for-gestational-age (SGA) babies had dysglycemia (SGA-IGT: 8.8%, SGA-diabetes mellitus (DM): 5.9%, LGA-IGT: 10.6%, LGA-DM: 11.8%) even at baseline. Being born preterm (OR: 3.49 (1.10 to 11.03)), with comorbidities of hypertension (OR: 1.61 (1.01 to 2.57)), hyperlipidemia (OR: 1.80 (1.19 to 2.72)), and fatty liver disease (OR: 2.08 (1.39 to 3.13)), was significantly associated with an increased OR of developing IGT. Risk factors for developing a worsening glycemic status, either to IGT or DM, included age >10 years (OR 4.94 (1.21 to 20.25)), BMI rise (OR 1.71 (1.17 to 2.49)), BMI increase >1.08 kg/m² (OR 1.71 (1.16 to 2.51)), comorbidities of hyperlipidemia (OR 1.67 (1.12 to 2.50)), and fatty liver disease (OR 2.11 (1.43 to 3.12)).

CONCLUSIONS

A child who has increased BMI (overweight/obese) and possesses risk factors for worsening glycemic status, if intervened with routine lifestyle modification advice, may still have increased risk of developing dysglycemia and type 2 DM. Therefore, understanding their risk profile provides opportunities to have a tiered and individualized approach.

The longitudinal association between coffee and tea consumption and the risk of metabolic syndrome and its component conditions in an older adult population

The present study aimed to assess the longitudinal associations of coffee and tea consumption with metabolic syndrome and its component conditions in a group of Australian older adults who participated in the Blue Mountains Eye Study (n 2554, mean age: 64 years, 43 % female). Participants' coffee and tea intake were measured using a validated food frequency questionnaire. Hazard ratios (HRs) over a 10-year period were estimated using Cox hazard regression models adjusting for lifestyle factors. Results showed that coffee consumption was not associated with the incidence of metabolic syndrome, high fasting glucose, high triglycerides, central obesity, high blood pressure and low HDL-cholesterol (HDL-C). Tea consumption was not associated with incidence of metabolic syndrome and the component conditions except for the risk of having low HDL-C, in which a nominally inverse association was observed (multivariate-adjusted HR at 2-3 cups/d: 0⋅48, 95 % CI 0⋅26, 0⋅87, P = 0⋅016; 4 cups/d or more: 0⋅50, 95 % CI 0⋅27, 0⋅93, P = 0⋅029). After stratifying for fruit consumption (P _interaction between tea and fruit = 0⋅007), consuming four cups of tea per day was nominally associated with lower incidence of metabolic syndrome among those with high fruit consumption (multivariable-adjusted HR: 0⋅44, 95 % CI 0⋅20, 0⋅93, P = 0⋅033). Our results did not support a significant association between tea and coffee consumption and metabolic syndrome. Tea consumption may be associated with a lower risk of having low HDL-C, while high tea and fruit consumption together may be associated with a lower risk of developing metabolic syndrome.

Use of biochemical markers for diabetes prevention in the new decade

Use of biochemical markers for diabetes prevention in the new decade. There is established evidence that type 2 diabetes mellitus is preceded by a phase, during which there is a cluster of conditions including raised triglycerides and lowered high-density lipoprotein cholesterol, raised fasting glucose, high blood pressure and central obesity. This cluster of risk factors for type 2 diabetes mellitus, constitutes the metabolic syndrome (MetS). Therefore, there is need to screen for this syndrome among the population for the primary prevention of type 2 diabetes mellitus which is a global public health problem. Despite the high prevalence of type 2 diabetes in Mauritius, research work on MetS is scarce. This study was thus undertaken with the primary objective to determine the prevalence of MetS among the employees of a public educational institution in Mauritius. A cross-sectional study which involved randomly identified employees was conducted. The participants were requested to fill in a survey questionnaire, undergo biometric measurements (waist circumference and blood pressure) and venous blood sample collection in a fasting condition. The blood tests included the determination of glucose, triglyceride and cholesterol levels. The 2009 International Diabetes Federation criteria were used for the diagnosis of MetS. The presence of any 3 of 5 risk factors, raised triglycerides, raised glucose, lowered high-density lipoprotein cholesterol, high blood pressure and central obesity constitutes a diagnosis of metabolic syndrome. Ethical clearance was obtained from the Department of Medicine Research Ethics Committee of the University of Mauritius. The prevalence of MetS was found to be 20.1% (40 participants), in the overall population, 31.4% in men (22 out of 70) and 13.95% in women (18 out of 129). The determination of any association by means of the Chi square tests showed there was a significant association between gender and MetS (p < 0.01). Educational level was also associated with the MetS (p < 0.05). Logistic regression analysis confirmed t\he significant association between MetS with gender (p < 0.01) where male gender was more associated with MetS than female. This study with the determination of the prevalence of the MetS among employees constituted the first step in the implementation of a structured workplace health intervention programme in Mauritius. We highlight the importance of workplace interventions with the involvement of a multi-disciplinary team of health professionals for the primary prevention of diabetes, through the screening for the MetS among employees.

Metabolic Syndrome and Its Components among Taxi Drivers in the City of Tshwane, South Africa

The occupation of taxi driving predisposes drivers to health risks, including obesity, cardiovascular and metabolic disorders. Although individual components of metabolic syndrome (MetS) are documented, data is scarce on concurrent metabolic disturbances among commercial drivers. The prevalence of MetS and its components were determined in a cross-sectional study among taxi drivers (n = 362) in the City of Tshwane, South Africa. Sociodemographic, occupational, and lifestyle factors were assessed using a structured questionnaire. Anthropometry, blood pressure, and glucose were measured. MetS was defined based on BMI strata, hypertension, and glucose levels. Data was analyzed using SPSS. The mean age of taxi drivers was 42 ± 10.9 years. Overall prevalence of MetS was 17.1%, with higher prevalence observed among older taxi drivers (24.2%) and those with longer experience in the industry (22.9%). Individual components of MetS were obesity (36%), hypertension (36%) and diabetes (46%), while smoking (30%), alcohol use (59%), and physical inactivity (71%) were observed. MetS was associated with duration in the taxi industry, and family history of diabetes among taxi drivers. The presence of MetS and its components among taxi drivers calls for early identification of cardiometabolic risks in the taxi industry and efforts towards achieving a healthier workforce.

Screening cardiovascular risk factors of diabetes patients in the primary diabetes clinics

ABSTRACT

To evaluate the atherosclerotic cardiovascular diseases (ASCVD) risk factors in type 2 diabetes patients from the primary diabetes clinics for further comprehensive intervention in China.A cross-sectional study was conducted in 5 primary diabetes chain hospitals in Beijing, Lanzhou, Harbin, Chengdu, and Taiyuan in continuous patients with type 2 diabetes from March 2016 to December 2019. The data collected at the first visit were analyzed, and proportions of patients reached the targets (glycosylated hemoglobin [HbA1c] < 7%, blood pressure < 130/80 mm Hg, and low-density lipoprotein cholesterol [LDL-C] < 2.6mmol/l) were calculated. The clinical characteristics and the associated factors with achievement in HbA1c, blood pressure, and LDL-C targets were analyzed.A total of 20,412 participants, including 11,353 men (55.6%), with an average age of (59.4 ± 10.4) years were enrolled. Nearly 95% diabetes had one or more ASCVD risk factors other than hyperglycemia. The control rates of HbA1c, blood pressure, and LDL-C were 26.5%, 27.8%, and 42.6%, respectively. Only 4.1% patients achieved all 3 targets. Nearly 95% patients had one or more ASCVD risk factors other than hyperglyciemia. Diabetes duration, family history, and overweight/obesity were associated with the number of aggregated ASCVD risk factors. The patients with older age, no overweight/obesity, not smoking, less ASCVD risk factors, and having special diabetes care insurance (Chengdu) were associated with a higher control rates.To deal with poor control status, global management of ASCVD risk factors, weight loss, and smoking cessation must be emphasized in the primary diabetes care settings. Special diabetes care insurance should be advocated.Current ClinicalTrial.gov protocol ID NCT03707379. Date of Registration: October 16, 2018. https://clinicaltrials.gov.

Behavior Characteristics and Risk for Metabolic Syndrome Among Women in Rural Communities in China

BACKGROUND

Rapid economic growth and lifestyle changes in China have resulted in increased metabolic syndrome (MetS) rates. Few investigators have examined sex-specific risk factors and the role of menopause, stress, and sleep on MetS among women in China.

OBJECTIVE

In this study, we aimed to identify the risk factors for MetS among women in rural China.

METHODS

A cross-sectional study design was used, and participants were recruited from rural areas in China. Female participants older than 18 years were eligible to participate. Participants had their weight, height, waist circumference, blood pressure, and fasting blood measured at study sites. They also completed validated questionnaires regarding sociodemographic information and MetS-related health behaviors.

RESULTS

A total of 646 women were included in this study. The overall prevalence of MetS was 26.2%. The MetS group had a greater number of overweight/obese women than the non-MetS group did. For premenopausal women, a higher income, being overweight/obese, and eating salty/marinated food increased their risk for MetS (odds ratio [OR], 2.56, 4.55, and 3.1, respectively). For postmenopausal women, a low level of education (OR, 0.44) and being overweight/obese (OR, 4.98) increased their risk of MetS.

CONCLUSION

Almost half of the women in this study were overweight/obese, and many of them did not meet the national recommendations for a healthy lifestyle, increasing their risk for MetS. Developing cultural and behavioral interventions tailored for overweight/obese women is critical in reducing MetS.

Secreted Frizzled-Related Protein 5 is Associated with Glucose and Lipid Metabolism Related Metabolic Syndrome Components Among Adolescents in Northeastern China

PURPOSE

Secreted frizzled-related protein 5 (SFRP5) is a novel anti-inflammatory adipokine that has been associated with various metabolic diseases. However, such relationship among adolescents remains unclear. The purpose of this study was to clarify the relationship between SFRP5 and the components of metabolic syndrome in Chinese adolescents.

PATIENTS AND METHODS

In this cross-sectional study, we included a total of 684 adolescents aged 11-16 years old from Liaoyang city, Liaoning province, China. The ELISA kits were implemented to measure the plasma SFRP5 and high-sensitivity C-reactive protein. Serum total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), and high-density lipoprotein cholesterol (HDL-C), serum uric acid (UA), alanine aminotransferase (ALT), aspartate aminotransferase (AST), fasting plasma glucose (FPG), and fasting serum insulin (FINS) were also measured.

RESULTS

The multivariate logistic regression analysis showed that low SFRP5 level were an independent risk factor of high FPG [odds ratio (OR)=5.31, 95% confidence interval (CI): 1.85-15.22, P<0.01] and high TC (OR=1.73, 95% CI: 1.01-2.96, P<0.05) when adjusting for age, sex, family history of diabetes, body mass index, and high-sensitivity C-reactive protein.

CONCLUSION

The lower level of SFRP5 is strongly related to lipid and glucose metabolism among adolescents in Northeast China. The risk of high fasting plasma glucose and high total cholesterol increases significantly as the plasma SFRP5 level decreases.

Association of the Ratio of Triglycerides to High-Density Lipoprotein Cholesterol Levels with the Risk of Type 2 Diabetes: A Retrospective Cohort Study in Beijing

BACKGROUND

Previous studies have shown that the ratio of triglyceride to high-density lipoprotein cholesterol level (TG/HDL-C) is a risk factor for type 2 diabetes mellitus (T2DM). The aim of this study was to investigate the nonlinear relationship between TG/HDL-C and the incidence of T2DM in a Chinese population.

METHODS

We used logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the incidence of T2DM among 7,791 participants from the Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal (REACTION) cohort study at baseline.

RESULTS

After adjusting for age, sex, body mass index, smoking status, alcohol intake, low-density lipoprotein cholesterol level, strenuous activity, education level, family histories of T2DM and tumors, and the presence of hypertension, tumor, stroke, and coronary heart disease, we showed that TG/HDL-C was positively associated with the incidence of T2DM at the 4-year follow-up (OR = 1.49, 95%CI = 1.26-1.78). TG/HDL-C and incidence of T2DM showed a nonlinear relationship; the inflection point of TG/HDL-C was 1.50. The ORs (95% CI) on the left and right sides of the inflection point were 2.50 (1.70-3.67) and 0.96 (0.67-1.37), respectively. After adjusting for age, sex, and body mass index (BMI) in the linear relationship, the OR of the incidence of T2DM was 1.60 (95%CI = 1.37-1.87). When the TG/HDL-C was less than 1.50 or greater than 1.76, the ORs (95% CI) were 2.41 (1.82-3.18) or 0.81 (0.53-1.25), respectively. Subgroup analysis showed no relationships of T2DM incidence with sex, BMI, family history of T2DM, or TG/HDL-C.

CONCLUSION

TG/HDL-C is positively associated with diabetes risk. In our study, with each increasing quintile, the risk of T2DM after 4 years was 1.60 or 1.49 depending on the variables adjusted. In addition, our cohort study showed a nonlinear relationship between TG/HDL-C and T2DM incidence, with an inflection point of 1.76 or 1.50, depending on the variables adjusted. When the TG/HDL was less than 1.50, the ORs (95% CI) were 2.41 (1.82-3.18) and 2.50 (1.70-3.67). When the TG/HDL-C was greater than 1.76 or 1.50, there was no significant difference in the change in OR.

Association between Dietary Habits, Shift Work, and the Metabolic Syndrome: The Korea Nurses' Health Study

Metabolic syndrome (MetS) is an important public health problem, and unhealthy dietary habits and shift work are considered major factors that increase the prevalence of MetS. The purpose of this study was to examine whether dietary habits, alcohol drinking, and shift-working were associated with development of MetS in shift-working female nurses. This study analyzed cross-sectional survey data from the Korea Nurses’ Health Study (KNHS). Of the 1638 nurses, 403 participants were selected based on the propensity score matching method (PSM). These participants had either no or more than three MetS determinant factors. Analysis was conducted by using multivariable logistic regression to confirm the factors influencing MetS. The prevalence of MetS in this group (1638 participants) was 5.6% (92 participants). Consumption of over 50% of daily calorie intake after 7 p.m., consumption of carbonated drinks, family history of diabetes, and non-shift work were significant factors influencing MetS. Nurses are one of the at-risk groups for unhealthy dietary habits due to the nature of their work. Therefore, nurse managers should include regular dietary education for nurses and continue their policy efforts to resolve health problems that may arise in connection with nurses’ work.

Associations of early-life exposure to famine with abdominal fat accumulation are independent of family history of diabetes and physical activity

The present study aimed to investigate the association of early-life exposure to famine with abdominal fat accumulation and function and further evaluate the influence of first-degree family history of diabetes and physical activity on this association. The present work analysed parts of the REACTION study. A total of 3033 women were enrolled. Central obesity was defined as waist circumferences (W) ≥ 85 cm. Chinese visceral adiposity index (CVAI) was used to evaluate visceral adipose distribution and function. Partial correlation analysis showed BMI, W, glycated Hb and CVAI were associated with early-life exposure to famine (both P < 0·05). Logistic regression showed that the risks of overall overweight/obesity and central obesity in fetal, early-childhood, mid-childhood and late-childhood exposed subgroups were increased significantly (all P < 0·05). Compared with the non-exposed group, the BMI, W and CVAI of fetal, early- to late-childhood exposed subgroups were significantly increased both in those with or without first-degree family history of diabetes and in those classified as physically active or inactive, respectively (all P < 0·05). The associations of BMI, W and CVAI with early-life exposure to famine were independent of their associations with first-degree family history of diabetes (all P < 0·01) or physical activity status (all P < 0·001). Early-life exposure to famine contributed to abdominal fat accumulation and dysfunction, which was independent of the influence of genetic background and exercise habits. Physical activity could serve as a supplementary intervention for women with high risk of central obesity.