Association of Leisure Time Physical Activity and Metabolic Syndrome over 40 Years

Acculturation, Physical Activity, and Metabolic Syndrome in Asian American Adults

INTRODUCTION

Asian Americans (AsAms) have a high prevalence of metabolic syndrome (MetS) and are one of the least physically active racial groups in America. The purpose of this study was to examine the relationship between MetS and moderate-to-vigorous physical activity (MVPA) among AsAm adults and whether acculturation modifies this relationship.

METHOD

Data were from 2,259 AsAms participating in the 2011-2016 National Health and Nutrition Examination Survey. Physical activity (PA) was self-reported as minutes of weekly MVPA. Acculturation included nativity, length of residency in America, and language preference. The International Diabetes Federation criteria was used to determine the presence of MetS.

RESULTS

About 64.4% of AsAms did not meet the PA recommendation (MVPA ≥150 min/week). The prevalence of MetS was 39.2%. The odds of having MetS were greater among AsAms who did not meet MVPA recommendations compared with those who did meet MVPA recommendations (odds ratio [OR] = 1.5, 95% confidence interval [CI] = [1.11, 2.07]). When stratified by acculturation, this association remained statistically significant in the groups who immigrated to America more than 15 years ago and who spoke English only.

CONCLUSION

MVPA reduces MetS risk in AsAm adults, especially among more acculturated AsAms. Culturally adapted programs are warranted to promote PA and adequate knowledge of disease prevention in this population.

Relationship between Marital Status and Metabolic Syndrome in Korean Middle-Aged Women: The Sixth Korea National Health and Nutrition Examination Survey (2013-2014)

Background

This study aimed to investigate the relationship between marital status and the incidence of metabolic syndrome in Korean middle-aged women.

Methods

Based on data from the sixth Korea National Health and Nutrition Examination Survey (2013–2014), 3,225 women aged 40–69 years were subjected to the analysis. Marital status was categorized as married, unmarried, separated, widowed, or divorced. The odds ratios (ORs) for metabolic syndrome were calculated based on marital status. After adjustment for age, income level, education level, alcohol intake, smoking status, leisure physical activity, menopause status, daily calories, and fat intake, changes in the OR for metabolic syndrome based on marital status were examined by multivariate logistic regression analysis.

Results

The OR for metabolic syndrome in the widowed group to the married group was 4.818 (95% confidence interval [CI], 3.861–6.002; P<0.001) and that after adjustment of age, economic level, education level, alcohol intake, smoking status, physical activity, menopause status, total daily calories, and fat intake was 2.141 (CI, 1.432–3.199; P<0.001), both of which were statistically significant. The OR for metabolic syndrome in the unmarried group to the married group was 0.246 (CI, 0.141–0.431; P<0.001) after adjustment of all components. On the contrary, the ORs of the separated group and the divorced group to the married group were not significant.

Conclusion

In comparison with the married middle-aged group, the widowed middle-aged group tended to have a higher risk of metabolic syndrome, which is speculated to be related to socioeconomic factors and health behavior.

Metabolic syndrome: prevalence and risk factors in Korean gout patients

BACKGROUND/AIMS

We performed this study to investigate associations between metabolic syndrome, chronic kidney disease (CKD), and gout.

METHODS

We reviewed the medical records of 151 patients with gout at the Department of Rheumatology in Korea University Ansan Hospital. The following measures were examined: waist circumference, blood pressure, alcohol consumption, and levels of triglyceride, high density lipoprotein cholesterol, fasting serum glucose, serum uric acid (SUA), creatinine, insulin, and C-peptide. We assessed metabolic syndrome by the homeostasis model assessment of insulin resistance (HOMA-IR) index and renal function by the Modification of Diet in Renal Disease equation; patients were classified according to World Health Organization Asia-Pacific obesity criteria.

RESULTS

The prevalence of metabolic syndrome in gout patients (50.8%) was higher than in non-gout patients. The mean SUA level was significantly higher in gout patients with metabolic syndrome (9.13 ± 3.15 mg/dL) than in gout patients without metabolic syndrome (8.14 ± 2.07 mg/dL). The mean SUA level was also significantly higher in patients with gout and CKD (9.55 ± 2.86 mg/dL) than in patients with gout but no CKD (7.74 ± 2.27 mg/dL). In gout patients, HOMA-IR was positively correlated with waist circumference (r = 0.409, p = 0.001).

CONCLUSIONS

The prevalence of metabolic syndrome in patients with gout was 50.8%, which is higher than the prevalence in the general Korean population. Hyperuricemia in gout patients was correlated with metabolic syndrome and CKD. Insulin resistance may provide clues to better understand the relationship between metabolic syndrome, CKD, and gout.

Relationships between different types of physical activity and metabolic syndrome among Taiwanese workers

This study aimed to investigate the relationships between different types of physical activity (PA) and metabolic syndrome (MetS). In this cross-sectional study, 3,296 Taiwanese workers were enrolled. A self-reported questionnaire was used to assess nutritional health behavior and PA levels related to occupation, leisure time, and commuting. Anthropometric measures, blood pressure and biochemical determinations of the blood were also obtained. Multiple logistic regression was used to evaluate the adjusted odds ratios (ORs) and 95% confidence intervals (CI) of MetS and its components associated with different types of PA. The prevalence of MetS was 16.6% in workers. Compared with a low level of leisure-time PA, a high level of leisure-time PA showed a significantly lower risk of high triglycerides (OR 0.73, 95% CI 0.61-0.87) and MetS (OR 0.76, 95% CI 0.62-0.95). Compared with a low level of occupational PA, a high level of occupational PA represented a significantly lower risk of both abdominal adiposity (OR 0.64, 95% CI 0.49-0.84) and high triglycerides (OR 0.71, 95% CI 0.55-0.90). However, commuting PA levels were not significantly associated with MetS and its components. In conclusion, occupational PA as well as leisure-time PA could be important for the prevention of MetS.

The Association between Parameters of Socioeconomic Status and Hypertension in Korea: the Korean Genome and Epidemiology Study

We investigated the association between socioeconomic status and hypertension in Korea, a country that has experienced a dynamic socioeconomic transition. We analyzed participants of a prospective cohort study-the Korean Genome and Epidemiology Study-enrolled between 2001 and 2003. We recruited 7,089 subjects who underwent a 4-year follow up till 2007. Education and income levels, which are important parameters for socioeconomic status, were stratified into 4 groups. Education level was defined as short (≤ 6 years), mid-short (7-9 years), mid-long (10-12 years), and long (≥ 12 years). Monthly income level was stratified as low (< 500,000 KRW), mid-low (500,000-1,499,999 KRW), mid-high (1,500,000-2,999,999 KRW) or high (≥ 3,000,000 KRW). At baseline, 2,805 subjects (39.5%) were diagnosed with hypertension. Education and income levels were inversely associated with the prevalence and incidence of hypertension (P < 0.001). In multivariate analysis, a shorter duration of education was significantly associated with a higher prevalence of hypertension (P < 0.001), but income level was not (P = 0.305). During the follow-up, 605 subjects (14.2%) were newly diagnosed with hypertension. In multivariate adjusted analysis, the hazard ratios (95% confidence interval) for incident hypertension across the longer education groups were 0.749 (0.544-1.032), 0.639 (0.462-0.884), and 0.583 (0.387-0.879), compared with the shortest education group. There was no significant association between incident hypertension and income across higher income groups: 0.988 (0.714-1.366), 0.780 (0.542-1.121), and 0.693 (0.454-1.056), compared with the lowest income group. In conclusion, education and income levels are associated with the prevalence and incidence of hypertension, but only education is an independent prognostic factor in Korea.

Concordance between muscle mass assessed by bioelectrical impedance analysis and by dual energy X-ray absorptiometry: a cross-sectional study

BACKGROUND

Besides magnetic resonance imaging, dual energy X-ray absorptiometry (DXA) seems the most reliable tool to evaluate body composition and is often considered as the gold standard in clinical practice. Bioelectrical impedance analysis (BIA) could provide a simpler, portative, and less expensive alternative. Because the body composition assessment by BIA is device-dependent, the aim of this study was to appraise the concordance between the specific bioelectrical impedance device InBody S10 and DXA for the body composition evaluation.

METHODS

Body composition, included appendicular lean mass divided by height squared (ALM/ht(2)) was measured by DXA (Hologic QDR Discovery device) and by BIA (InBody S10 Biospace device). Agreement between tools was assessed by means of the Bland Altman method and reliability was determined using the IntraClass Coefficient (ICC). ICC was also computed to assess the reliability of the test-retest performed by the same operator or by two different ones.

RESULTS

A total of 219 subjects were enrolled in this study (mean age: 43.7 ± 19.1 years old, 51.6% of women). For the ALM/ht(2), reliability of the test-retest of the BIA was high with an ICC of 0.89 (95%CI: 0.86-0.92) when performed by the same operator and an ICC of 0.77 (95%CI: 0.72-0.82) when performed by two different operators. Agreement between ALM/ht(2) assessed by DXA and BIA was low (ICC = 0.37 (95%CI: 0.25-0.48)). Mean ALM/ht(2) was 9.19 ± 1.39 kg/m(2) with BIA and 7.34 ± 1.34 kg/m(2) with DXA, (p < 0001). A formula developed using a multiple regression analysis, and taking into account muscle mass assessed by BIA, as well as sex and body mass index, explains 89% of the ALM/ht(2) assessed by DXA.

CONCLUSIONS

Although our results show that the measure of ALM/ht(2) by BIA is reliable, the agreement between DXA and BIA is low. Indeed, BIA seems to overestimate ALM/ht(2) compared to DXA and, consequently, it is important to use an adapted formula to obtain measurement of the appendicular lean mass by BIA close to that measured by DXA.