Metabolic syndrome and the benefit of a physical activity intervention on lower-extremity function: Results from a randomized clinical trial

Associations of Combined Physical Activity and Body Mass Index with Metabolic Syndrome in American Adults: From the National Health and Nutrition Examination Survey, 2017-2020

PurposeThe purpose of this study is to examine the combined associations of physical activity and body mass index with the prevalence of metabolic syndrome in a population-based sample of American adults.DesignCross-sectional study.SettingData from the 2017-2020 National Health and Nutrition Examination Survey (NHANES).SubjectsA total of 2945 American adults who participated in the NHANES 2017-2020.MeasuresParticipants' physical activity levels were categorized based on the Physical Activity Guidelines for Americans. Metabolic syndrome was determined using the National Cholesterol Education Program Adult Treatment Panel III guidelines.AnalysisThe prevalence of metabolic syndrome among the various groups was analyzed using binary logistic regression to observe differences in the associated risks of developing metabolic syndrome.ResultsAn increase in body mass index and a decrease in physical activity are both risk factors for metabolic syndrome. Statistical results show that the prevalence of metabolic syndrome in the obese and sedentary group is 22.31 times higher than that in the normal weight and active group (P = 0.000).ConclusionA combination of at least 600 MET-minutes of physical activity per week and a lower body mass index is significantly associated with the lowest prevalence of metabolic syndrome.

Adverse childhood experiences, sleep quality/duration and later-life lower extremity function among older adults in China: evidence from CHARLS

OBJECTIVE

This study aimed to explore the relationship between adverse childhood experiences (ACEs), sleep, and lower extremity function in older adults using a nationally representative cohort.

METHODS

This study included 4,439 participants aged 60 years or older (mean age: 67.2 ± 5.7 years) from the China Health and Retirement Longitudinal Study (CHARLS) 2015 national survey and the 2014 Life History Survey. ACEs, sleep duration, and sleep quality were assessed through self-report, and lower extremity function was measured using the Short physical performance battery (SPPB). The relationships between ACEs, sleep, and lower extremity function were analyzed using multivariate linear regression model and restricted cubic splines.

RESULTS

After adjusting for covariates, older adults with four or more ACEs exhibited worse lower extremity function compared to those with no ACEs (β: -0.175). 6-8 h of sleep was associated with improved lower extremity function (β: 0.119), while good sleep quality was also associated with higher lower extremity function scores (β: 0.177). Age-related differences revealed that the association between four or more ACEs and reduced lower extremity function (β: -0.431) was significant only in individuals aged 70 years and older. In the 60-69 years age group, the sleep duration of 6-8 h was significantly related to better lower extremity function (β: 0.150), however, in those aged 70 years and older, more than 8 h of sleep was associated with poorer function (β: -0.378). Furthermore, good sleep quality was associated with better lower extremity function in individuals aged 70 years and older (β: 0.246).

CONCLUSION

ACEs, particularly household mental illness and parental disability, are associated with poorer lower extremity function in older adults. Normal sleep duration and good sleep quality are linked to better lower extremity function and may mitigate the negative effects of ACEs. However, these associations vary by age.

Exploring gait velocity as a predictor of cardiometabolic disease risk in young adults

Background

The association between poor gait and functional movement ability and metabolic syndrome (MetS) has been well established in older adults. A continuous cardiometabolic risk score, MetSindex, may more easily identify individuals at risk for cardiometabolic disease who do not yet meet the stringent criteria for a formal MetS diagnosis. Although the association between MetS and gait velocity is well established in older adults, no such relationship has been identified in younger adults; a group experiencing a rapid increase in the development of MetS.

Methods

MetSindex was determined for 21 young adults using standard procedures. Gait velocity was measured as participants completed a ten-meter walk test. Spatiotemporal parameters of gait were also derived using a motion capture system. Simple linear regression was used to determine the relationship between MetSindex and gait velocity, as well as MetSindex and spatiotemporal parameters of gait.

Results

There was a large inverse relationship between MetSindex and gait velocity. A large inverse relationship was also observed between MetSindex and cadence, and a large positive relationship was observed between stance time and double limb support time.

Conclusions

Gait velocity slows in young adults who do not necessarily meet the criterion for positive diagnosis of MetS-but demonstrate an increased risk for MetS and cardiovascular disease through higher MetSindex scores. The mechanism underlying reduced gait velocity may be fewer, but not shorter steps. Determining easy-to-use surrogates of MetS (e.g., gait velocity) may help combat the growing prevalence of MetS by increasing access to preventative approaches.

Plasma metabolite predictors of metabolic syndrome incidence and reversion

BACKGROUND

Metabolic Syndrome (MetS) is a progressive pathophysiological state defined by a cluster of cardiometabolic traits. However, little is known about metabolites that may be predictors of MetS incidence or reversion. Our objective was to identify plasma metabolites associated with MetS incidence or MetS reversion.

METHODS

The study included 1468 participants without cardiovascular disease (CVD) but at high CVD risk at enrollment from two case-cohort studies nested within the PREvención con DIeta MEDiterránea (PREDIMED) study with baseline metabolomics data. MetS was defined in accordance with the harmonized International Diabetes Federation and the American Heart Association/National Heart, Lung, and Blood Institute criteria, which include meeting 3 or more thresholds for waist circumference, triglyceride, HDL cholesterol, blood pressure, and fasting blood glucose. MetS incidence was defined by not having MetS at baseline but meeting the MetS criteria at a follow-up visit. MetS reversion was defined by MetS at baseline but not meeting MetS criteria at a follow-up visit. Plasma metabolome was profiled by LC-MS. Multivariable-adjusted Cox regression models and elastic net regularized regressions were used to assess the association of 385 annotated metabolites with MetS incidence and MetS reversion after adjusting for potential risk factors.

RESULTS

Of the 603 participants without baseline MetS, 298 developed MetS over the median 4.8-year follow-up. Of the 865 participants with baseline MetS, 285 experienced MetS reversion. A total of 103 and 88 individual metabolites were associated with MetS incidence and MetS reversion, respectively, after adjusting for confounders and false discovery rate correction. A metabolomic signature comprised of 77 metabolites was robustly associated with MetS incidence (HR: 1.56 (95 % CI: 1.33-1.83)), and a metabolomic signature of 83 metabolites associated with MetS reversion (HR: 1.44 (95 % CI: 1.25-1.67)), both p < 0.001. The MetS incidence and reversion signatures included several lipids (mainly glycerolipids and glycerophospholipids) and branched-chain amino acids.

CONCLUSION

We identified unique metabolomic signatures, primarily comprised of lipids (including glycolipids and glycerophospholipids) and branched-chain amino acids robustly associated with MetS incidence; and several amino acids and glycerophospholipids associated with MetS reversion. These signatures provide novel insights on potential distinct mechanisms underlying the conditions leading to the incidence or reversion of MetS.

Examining the Dose-Response Relationship between Outdoor Jogging and Physical Health of Youths: A Long-Term Experimental Study in Campus Green Space

Many studies have demonstrated that outdoor physical activity positively affects the physical health of young people. Here, we aimed to examine the extent to which outdoor jogging was associated with the physical health of youths, and then to decipher whether a dose–response relationship exists between them. A total of 2852 youths from a Chinese university were enrolled in a long-term experimental study between September 2018 and September 2019. We conducted two waves of physical health tests for 2852 youths (before and after the jogging interventions in 2018 and 2019, respectively) using China’s National Student Physical Health Standard (NSPHS). Paired t-tests were used to examine statistical differences. A multiple regression model was used to evaluate the associations between jogging and physical health. The results showed that: statistically significant changes in the two waves of physical health outcomes were suggested after jogging interventions; outdoor jogging in campus green space was associated with participants’ physical health after controlling for covariates; and a dose–response relationship between jogging and physical health outcomes was revealed, with 120–140 km/year (approximately 3.43–4 km/week) being the most effective intervention dose. Our findings have implications for promoting physical health in youth groups by encouraging outdoor physical activity.

Relationship of Inflammatory Markers and Metabolic Syndrome in Postmenopausal Women

The increased deposition of visceral fat in the postmenopause period increases the production of inflammatory cytokines and the release of tumor necrosis factor- α (TNF-α), interleukin-6 (IL-6), and decrease in IL-10. This study investigated the relationship between inflammatory biomarkers and metabolic syndrome (MS) in postmenopausal women considering different diagnostic criteria. We conducted a cross-sectional observational study based on STROBE. Data were collected regarding the diagnostic criteria for MS (International Diabetes Federation; NCEP (International Diabetes Federation (IDF), National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP-III), and Harmonized criteria), body composition, comorbidities, time without menstruation, values of IL-6, IL-10, and TNF-α. ANOVA, Kruskal-Wallis, Levene tests, ROC, and odds ratio were performed to analyze the data. The results showed no significant difference between the methods and no interaction between the method and the presence of MS. However, for the values of WC, body fat percentage, TNF-α, and IL-10/TNF-α ratio, a significant effect of MS was observed. In subjects with MS, lower values of body fat percentage and TNF-α and higher values of the IL-10/TNF-α ratio were also observed. The higher IL-10/TNF-α ratio in the MS group is related to the greater anti-inflationary action of IL-10. The IL-10/TNF-α ratio showed significant accuracy to discriminate patients with MS according to the NCEP-ATP III criteria.