Modifiable Lifestyle Behaviors Are Associated With Metabolic Syndrome in a Taiwanese Population

Sex differences in the prevalence of metabolic syndrome and associated factors in the general population of Mongolia: A nationwide study

The prevalence and factors associated with metabolic syndrome (MetS) between men and women in Mongolia were compared using secondary data from the STEPwise approach to non-communicable disease risk factor surveillance conducted in 2019. In total, 5,695 participants (2,577 males and 3,118 females) aged 18-69 years old were enrolled in the study. The prevalence of MetS was 37.4% in total and the prevalence was significantly higher in women (39.2%) than men (35.2%, P = 0.002). The most prevalent MetS components were abdominal obesity in women (74.2%) and high blood glucose levels in men (58.7%). All of the 2,128 participants who were categorized into MetS met the criteria of abdominal obesity. Factors associated with MetS included being 30-69 years old compared to 18-29 years old, low and moderate physical activity levels compared to high levels, history of hypertension and diabetes mellitus, and a high body mass index (overweight and obesity) compared to a normal body mass index in both sexes. Additional factors included Buryat ethnicity compared to Khalkh ethnicity, living in Ulaanbaatar, no education compared to primary education, higher monthly income, and currently drinking in men; and smoking and sufficient fruit and vegetable intake in women. Significant differences were observed between men and women in terms of the prevalence of MetS, components of MetS, and factors associated with MetS. To reduce MetS prevalence in Mongolia, sex-specific programs should be designed to promote health behavior, such as reducing alcohol consumption in men and smoking in women.

Gender differences in metabolic syndrome and its components in southern china using a healthy lifestyle index: a cross-sectional study

BACKGROUND

Lifestyle changes are important for the prevention and management of metabolic syndrome (MetS), but studies that focus on gender differences in the lifestyle risk factors of MetS are limited in China. This research aimed to generate a healthy lifestyle index (HLI) to assess the behavioral risk factors of MetS and its components, and to explore the gender differences in HLI score and other influencing factors of MetS.

METHODS

A convenience sample of 532 outpatients were recruited from a general hospital in Changsha, China. The general information and HLI scores [including physical activity (PA), diet, smoking, alcohol use, and body mass index (BMI)] of the subjects were collected through questionnaires, and each patient's height, weight, waist circumference, and other physical signs were measured. Logistic regression analysis was used to analyze the risk factors of MetS and its components.

RESULTS

The prevalence of MetS was 33.3% for the whole sample (46.3% in males and 23.3% in females). The risk of MetS increased with age, smoking, unhealthy diet, and BMI in males and with age and BMI in females. Our logistic regression analysis showed that lower HLI (male: OR = 0.838,95%CI = 0.757-0.929; female: OR = 0.752, 95%CI = 0.645-0.876) and older age (male: OR = 2.899, 95%CI = 1.446-5.812; female: OR = 4.430, 95%CI = 1.640-11.969) were independent risk factors of MetS, for both sexes.

CONCLUSION

Low levels of HLI and older ages were independent risk factors of MetS in both males and females. The association between aging and MetS risk was stronger in females, while the association between unhealthy lifestyles and MetS risk was stronger in males. Our findings reinforced the expected gender differences in MetS prevalence and its risk factors, which has implications for the future development of gender-specific MetS prevention and intervention programs.

Racial/Ethnic Disparities of Cancer, Metabolic Syndrome, and Lifestyle Behaviors in People under 50: A Cross-Sectional Study of Data from the National Health and Nutrition Examination Survey

INTRODUCTION

Recent epidemiological studies have suggested a trend of increasing prevalence of metabolic syndrome (MetS) and certain types of cancer among adults under age 50. How MetS is associated with cancer in adults under the age of 50, however, remains unclear. Furthermore, it remains unknown whether associations between MetS and cancer vary by racial/ethnic group and whether modifiable lifestyle factors influence MetS-cancer relationships.

METHODS

We used data from the 2011-2018 National Health and Nutrition Examination Survey (NHANES) to define a case-control sample to examine potential racial/ethnic disparities associated with MetS and cancer of any type. We used a chi-square test and binary logistic regression to examine the MetS and cancer association.

RESULTS

From a total sample of 10,220 cases, we identified 9960 no-cancer cases and 260 cancer cases. Binary logistic regression results showed that MetS was significantly associated with a cancer risk among non-Hispanic whites (odds ratio = 1.48, 95% confidence interval = 1.00-2.19); however, it was not associated with a risk among non-Hispanic Blacks, Hispanic/Latinos, or Asian Americans. We also found several significant predictors of cancer, including age, gender, tobacco use, and sleep duration, with their roles varying by racial/ethnic subgroup.

CONCLUSION

The findings of this study indicate that racial/ethnic differences are involved in the association between MetS and cancer, and highlight the potential mediating effects of lifestyle and behavioral factors. Future research should leverage the existing longitudinal data or data from cohort or case-control studies to better examine the causal link between MetS and cancer among racial/ethnic minorities.

Metabolic Risks Are Increasing in Non-B Non-C Early-Stage Hepatocellular Carcinoma: A 10-Year Follow-Up Study

Background

Non-B, non-C hepatocellular carcinoma (NBNC-HCC) may be related to metabolic syndrome, and the incidence of this tumor type is increasing annually. The definition of metabolic-associated fatty liver disease (MAFLD) proposed in 2020 may help to more accuratelyassess the association between metabolic syndrome and NBNC-HCC. However, this new concept has not yet been applied in NBNC-HCC research. Therefore, this study aimed to compare the clinicopathological characteristics of patients with NBNC-HCC and CHB-HCC diagnosed between 2009-13 and 2014-18, focusing on metabolic risk factors and the new concept of MAFLD.

Method

Patients with BCLC-0/A-HCC who received curative hepatectomy between January 2009 and December 2018 were retrospectively assessed; the associations between clinicopathological characteristics and clinical outcomes of NBNC-HCC and CHB-HCC were analyzed by multivariate analysis.

Result

Compared to patients diagnosed in 2009-13, the frequency of metabolic disorders in NBNC-HCC was significantly higher in 2014-18 [DM (p=0.049), HTN (p=0.004), BMI (p=0.017) and MAFLD (p=0.003)]; there was no significant change in patients with CHB-HCC. Moreover, CHB-HCC was an independent risk factor for HCC recurrence (HR, 1.339; 95% CI, 1.010-1.775, p=0.043) and death (HR, 1.700; 95% CI, 1.017-2.842, p=0.043) compared to NBNC-HCC.

Conclusions

Therisk of MAFLD, obesity, DM, and hypertension in patients with early-stage NBNC have significantly increased in recent years, thus metabolic syndrome should be monitored in this special population. Moreover, NBNC-HCC tend to had a better prognosis than CHB-HCC, probably due to their distinct clinicopathological features.

The Study of Clustering Effects of Behavior Risk Factors in Patients with Metabolic Syndrome in Southern China: A Cross-Sectional Study

OBJECTIVES

Metabolic syndrome (MetS) is now becoming a serious public health threat. Some behaviors risk factors were considered to be associated with MetS and interacted to adversely affect MetS. However, the clustering effects of behavior risk factors of MetS among Chinese population remain unclear. The aim of this study is to observe the behavior risk factors and their clustering effects of MetS in China.

METHODS

A cross-sectional study design was used. Subjects were recruited in the departments of Cardiology Clinic, Endocrine Clinic, and Health Management from March to December 2019. A demographic sheet was designed to collect the demographic and clinical characteristics of the subjects. International Physical Activity Questionnaire-Short was applied to evaluate the level of PA in this study. Other behavior risk factors were observed by the questionnaire. The stepwise logistic regression analysis was performed to identify the determinants of MetS. The multiple logistic regression analysis was used to analyze the clustering effects of behavior risk factors in MetS.

RESULTS

There are a total of 532 eligible subjects (56.6% females; mean age was 48.4 ± 15.3 years), and approximately 33.3% were diagnosed as MetS. The subjects with a smoking habit (heavy and long-time history) had a 1.833-fold higher risk for MetS than their counterparts (none and light smoking), and the subjects that preferred salty taste had a 1.626-fold higher risk for MetS than the comparison cohort. Smoking and alcohol drinking had the highest clustering effect on MetS among the behavior risk factors.

CONCLUSIONS

The main finding of this study was that smoking and salty taste preference were the independent determinants of MetS. Smoking and alcohol consumption had the highest clustering effect on southern Chinese MetS.

Metabolic fitness in relation to genetic variation and leukocyte DNA methylation

Metabolic syndrome (MetS) is a highly prevalent condition causing increased risk of several life-threatening diseases. MetS has a pronounced hereditary basis but is also influenced by environmental factors, partly through epigenetic mechanisms. In this study, the five phenotypes underlying MetS were incorporated into a continuous score for metabolic fitness (MF), and associations with both genotypic variation and leukocyte DNA methylation were investigated. Baseline MF phenotypes (waist circumference, blood pressure, blood glucose, serum triglycerides, and high-density lipoproteins) of 710 healthy Flemish adults were measured. After a 10 yr period, follow-up measures were derived from 618 of these subjects. Genotyping was performed for 65 preselected MF-related genetic variants. Next, full genetic predisposition scores (GPSs) were calculated, combining genotype scores of multiple genetic variants. Additionally, stepwise GPSs were constructed, including only the most predictive genetic variants for the different MF phenotypes. For a subset of 68 middle-aged men, global and gene-specific DNA methylation was investigated, and a biological pathway analysis was performed. The full GPSs were predictive for some baseline MF phenotypes, but not for changes over time. Only a limited number of genetic variants were significantly predictive individually. On the contrary, global and gene-specific DNA methylation was associated with changes in the MF phenotypes rather than with the baseline measures, indicating that effects of DNA methylation on MF are somewhat delayed. Furthermore, several biological pathways were associated with the MF phenotypes through gene promoter methylation. For CETP, G6PC2, MC4R, and TFAP2B both a genetic and epigenetic relationship was found with MF.

Predictors of metabolic syndrome in community-dwelling older adults

Objectives

The metabolic syndrome has been associated with a variety of individual variables, including demographics, lifestyle, clinical measures and physical performance. We aimed to identify independent predictors of the prevalence and incidence of metabolic syndrome in a large cohort of older adults.

Methods

The Longitudinal Aging Study Amsterdam is a prospective cohort including community-dwelling adults aged 55–85 years. Metabolic syndrome was defined according to criteria of the National Cholesterol Education Program Adult Treatment Panel III. The incidence of metabolic syndrome was calculated over a period of three years. Stepwise backward logistic regression analyses were used to identify predictors, including variables for demographics, lifestyle, clinical measures and physical performance, both in a cross-sectional cohort (n = 1292) and a longitudinal sub-cohort (n = 218).

Results

Prevalence and incidence of metabolic syndrome were 37% (n = 479) and 30% (n = 66), respectively. Cross-sectionally, heart disease (OR: 1.91, 95% CI: 1.37–2.65), peripheral artery disease (OR: 2.13, 95% CI: 1.32–3.42), diabetes (OR: 4.74, 95% CI: 2.65–8.48), cerebrovascular accident (OR: 1.92, 95% CI: 1.09–3.37), and a higher Body Mass Index (OR: 1.32, 95% CI: 1.26–1.38) were significant independent predictors of metabolic syndrome. Longitudinally, Body Mass Index (OR: 1.16, 95% CI: 1.05–1.27) was an independent predictor of metabolic syndrome.

Conclusion

Four age related diseases and a higher Body Mass Index were the only predictors of metabolic syndrome in the cross-sectional cohort, despite the large variety of variables included in the multivariable analysis. In the longitudinal sub-cohort, a higher Body Mass Index was predictive of developing metabolic syndrome.

Metabolic risk factors are associated with non-hepatitis B non-hepatitis C hepatocellular carcinoma in Taiwan, an endemic area of chronic hepatitis B

Metabolic risk factors, such as obesity, fatty liver, high lipidemia, and diabetes mellitus are associated with increased risk for nonviral hepatocellular carcinoma (HCC); however, few nonviral HCC studies have stratified patients according to underlying etiologies. From 2005 to 2011, 3,843 patients with HCC were recruited into the Taiwan Liver Cancer Network. Of these patients, 411 (10.69%) who were negative for hepatitis B virus (HBV), surface antigen, HBV DNA, and anti-hepatitis C virus (HCV) antibody were classified as non-HBV non-HCV (NBNC)-HCC. Detailed clinical analyses of these patients were compared with age- and sex-matched patients with HBV-HCC or HCV-HCC for the associated metabolic risk factors. For this comparison, 420 patients with HBV-HCC and 420 patients with HCV-HCC were selected from the 3,843 patients with HCC. Multivariate analyses showed fatty liver (by echography), high triglyceride levels (>160 mg/dL), and diabetes mellitus history to be significantly associated only with NBNC-HCC and not with the matched patients with HBV- or HCV-HCC. When the patients with HCC were further divided into four groups based on history of alcoholism and cirrhotic status, the group without alcoholism and without cirrhosis exhibited the strongest association with the metabolic risk factors. Based on trend analyses, patients with NBNC-HCC with or without alcoholism were significantly different from the matched patients with HBV- or HCV-HCC, except for patients with alcoholism and cirrhosis, in having more than two of the above three risk factors. Conclusion: Metabolic risk factors are significantly associated with nonviral HCC, especially for patients without alcoholism in Taiwan. Because the prevalence of viral HCC is decreasing due to the success of universal vaccination and antiviral therapy, strategies for cancer prevention, prediction, and surveillance for HCC will require modification. (Hepatology Communications 2018;2:747-759).

Self-reported health and behavioral factors are associated with metabolic syndrome in Americans aged 40 and over

To determine whether behavioral factors differ among metabolic conditions and self-reported health, and to determine whether self-reported health is a valid predictor of metabolic syndrome (MetS). A total of 2997 individuals (≥ 40 years old) were selected from four biennial U.S. National Health and Nutrition Examination Surveys (2007-2014). A set of weighted logistic regression models were used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs)Individuals with light physical activity are more likely to have MetS and report poor health than those with vigorous physical activity with OR = 3.22 (95% CI: 2.23, 4.66) and 4.52 (95% CI: 2.78, 7.33), respectively. Individuals eating poor diet have greater odds of developing MetS and reporting poor health with OR = 1.32 (95% CI: 1.05, 1.66) and 3.13 (95% CI: 2.46, 3.98). The aforementioned relationships remained significant after adjustment for demographic and socio-economic status. A potential intervention strategy will be needed to encourage individuals to aggressively improve their lifestyle to reduce MetS and improve quality of life. Despite the significant association between self-reported health with MetS, a low sensitivity indicated that better screening tools for MetS, diabetes and cardiovascular disease are essential.

Program Development and Effectiveness of Workplace Health Promotion Program for Preventing Metabolic Syndrome among Office Workers

This paper aims to develop and analyze the effects of a socio-ecological model-based intervention program for preventing metabolic syndrome (MetS) among office workers. The intervention program was developed using regular health examinations, a “health behavior and need” assessment survey among workers, and a focus group study. According to the type of intervention, subjects took part in three groups: health education via an intranet-based web magazine (Group 1), self-monitoring with the U-health system (Group 2), and the target population who received intensive intervention (Group 3). The intervention programs of Group 1 and Group 2, which relied on voluntary participation, did not show significant effects. In Group 3, which relied on targeted and proactive programs, showed a decrease in waist circumference and in fasting glucose (p < 0.001). The MetS score in both males (−0.61 ± 3.35 versus −2.32 ± 2.55, p = 0.001) and females (−3.99 ± 2.05 versus −5.50 ± 2.19, p = 0.028) also showed a statistically significant decrease. In light of the effectiveness of the intensive intervention strategy for metabolic syndrome prevention among workers used in this study, companies should establish targeted and proactive health care programs rather than providing a healthcare system that is dependent on an individual’s voluntary participation.

Prevalence of metabolic syndrome and its risk factors among rural adults in Nantong, China

The prevalence of metabolic syndrome (MS) varies worldwide due to genetic and environmental factors. A population-based cross-sectional study, with 37,582 participants recruited in Nantong, China in 2007-2008 (stage I) and 2013 (stage II). Socio-demographic, lifestyle factors, disease history and fasting blood sample were collected. The prevalence of MS was much higher in 2013 (42.6%) than that in 2007-2008 (21.6%), which was significantly higher in older people in both stages. Participants with two or more familial history of diseases were associated with a higher MS prevalence compared to those who didn’t have familial history of diseases. Total physical activity (PA) was associated with 24 and 19% decreased risk of MS in men and women. Occupational PA in moderate and vigorous intensity was associated with a 25%-45% decreased risk of MS. Female smokers who smoked more than 10 cigarettes per day or over 25 years were associated with 96 and 74% increased MS risk, respectively. The highest quartile of rice wine consumption was associated with a lower risk of MS with OR of 0.63 in women, compared with female non-drinkers. These findings indicated that PA and rice wine are two protective factors in MS prevention in rural areas of East China.

The Effects of an Exercise Program on Anxiety Levels and Metabolic Functions in Patients With Anxiety Disorders

The purpose of this study was to evaluate the effects of a home-based (HB) exercise program on anxiety levels and metabolic functions in patients with anxiety disorders in Taiwan. Purposive sampling was used to recruit 86 participants for this randomized, experimental study. Participants were asked to complete a pretest before the 3-month exercise program, a posttest at 1 week, and a follow-up test at 3 months after the exercise program. Study measures included four Self-Report Scales and biophysical assessments to collect and assess personal data, lifestyle behaviors, anxiety levels, and metabolic control functions. Of the 86 study participants, 83 completed the posttest and the 3-month follow-up test, including 41 in the experimental group and 42 in the control group. Participants in the experimental group showed significant improvements in body mass index, high-density lipoprotein cholesterol levels, and the level of moderate exercise after the program relative to the control group, as analyzed by generalized estimating equations mixed-model repeated measures. State and trait anxiety levels were also significantly improved from pretest to follow-up test in the experimental group. Finally, the prevalence of metabolic syndrome declined for participants in the experimental group. The HB exercise program produced positive effects on the metabolic indicators and anxiety levels of Taiwanese adults with anxiety disorders. Health providers should consider using similar HB exercise programs to help improve the mental and physical health of patients with anxiety disorders in their communities.

The Relationship Between Health-Promoting Behaviors and Metabolic Syndrome in Community-Dwelling Older Adults

BACKGROUND

Poor health-promoting behaviors increase the risk of chronic disease and disability in older adults. Nevertheless, the predictors of health-promoting behaviors and their relationship with metabolic syndrome have been poorly characterized in older Taiwanese adults.

OBJECTIVE

To explore the determinants of health-promoting behaviors in community-dwelling older adults in Taiwan and the relationship of health-promoting behaviors with metabolic syndrome.

METHODS

A cross-sectional design was used. A convenience sample of 200 community residents aged 60 years and over was recruited from two large communities in New Taipei City, Taiwan. Data collection included physical examination and a structured questionnaire including measures of health status, health-promoting behaviors, self-efficacy, social support, and metabolic syndrome.

RESULTS

Metabolic syndrome was found in 60% of older Taiwanese adults. These participants had higher scores in interpersonal relationships but lower scores in physical activity. Half of the health-promoting behaviors were explained by behavior-specific cognitions and affect, and 44% of behavior-specific cognitions and affect was explained by the health status of the older adult.

CONCLUSIONS

Physical activity should be promoted in older Taiwanese adults. Positive behavior-specific cognitions and affect and better health status might impact the health-promoting behaviors of these adults.