Metabolic Equivalent Values Research Articles

Energy Cost of Selected Physical Activities of Older Persons Living in Taguig City, the Philippines

The promotion of physical activity is important for fostering healthy aging. However, a substantial proportion of older adults remain sedentary. Current metrics assessing the energy cost of physical activity are primarily designed for the general adult population and inadequately account for distinct physiological changes in older individuals – encompassing variations in muscle mass, bone density, metabolism, and overall functional capacity. This study aimed to determine the energy cost of selected physical activities of Filipino older persons. This cross- sectional study conducted in Taguig City involved 19 older adults aged 60–79 yr using the COSMED Fitmate indirect calorimeter for resting metabolic rate determination, as well as the portable COSMED K5 indirect calorimeter for measuring energy cost of different physical activities – including treadmill walking, self-paced walking, a routine based on the DOST-FNRI manual, and multi-gym equipment. The outcomes of the study were presented in percentages and averages. Participants in the study were categorized based on their muscle strength and mass. Analysis revealed a consistent trend where older adults with lower appendicular skeletal muscle mass index and handgrip strength values demonstrated lower metabolic equivalent values across the different exercise routines. Notably, Routine 2 displayed an exception, with individuals above the 50th percentile of ASMI and HGS exhibiting lower METs than those below the 50th percentile. This study contributes insights into the energy cost of specific activities among older adults emphasizing the importance of physical activity in healthy aging and providing valuable information for tailored interventions and a nuanced understanding of energy expenditure in this age group.

Energy expenditure and physiological markers during a city mountain hike in the heat: A case study.

Background: Energy expenditure may be difficult to assess when hiking difficult trails. Case presentation: We measured physical activity exercise energy expenditure (PAEE) directly from oxygen uptake using a mobile device (cardiopulmonary exercise testing, CPET), and by using a formula based on heart rate (HR), or metabolic equivalent values from the Compendium of Physical Activity, and other physiological outcomes. Outcomes and implications: Total PAEE (1342 kcal) using CPET showed a two-fold difference between ascending and descending (887 vs. 455 kcal) during a 124-min hike. For HR, PAEE was 1893kcal (+551 kcal overreporting), while compendium-based scenarios ranged from 1179 to 1446 kcal, which was in closer range (-163 to +104 kcal/min) compared to the CPET data. Fluid consumption was 1300 mL/hour, with 1.1% bodyweight loss, peak skin temperature of 35.2°C and core body temperature of 39.2°C. Recommendations: Tables reasonably predict energy expenditure while not precisely reflecting the actual situation.

Development and validation of a smartwatch algorithm for differentiating physical activity intensity in health monitoring

To develop and validate a machine learning based algorithm to estimate physical activity (PA) intensity using the smartwatch with the capacity to record PA and determine outdoor state. Two groups of participants, including 24 adults (13 males) and 18 children (9 boys), completed a sequential activity trial. During each trial, participants wore a smartwatch, and energy expenditure was measured using indirect calorimetry as gold standard. The support vector machine algorithm and the least squares regression model were applied for the metabolic equivalent (MET) estimation using raw data derived from the smartwatch. Exercise intensity was categorized based on MET values into sedentary activity (SED), light activity (LPA), moderate activity (MPA), and vigorous activity (VPA). The classification accuracy was evaluated using area under the ROC curve (AUC). The METs estimation accuracy were assessed via the mean absolute error (MAE), the correlation coefficient, Bland–Altman plots, and intraclass correlation (ICC). A total of 24 adults aged 21–34 years and 18 children aged 9–13 years participated in the study, yielding 1790 and 1246 data points for adults and children respectively for model building and validation. For adults, the AUC for classifying SED, MVPA, and VPA were 0.96, 0.88, and 0.86, respectively. The MAE between true METs and estimated METs was 0.75 METs. The correlation coefficient and ICC were 0.87 (p < 0.001) and 0.89, respectively. For children, comparable levels of accuracy were demonstrated, with the AUC for SED, MVPA, and VPA being 0.98, 0.89, and 0.85, respectively. The MAE between true METs and estimated METs was 0.80 METs. The correlation coefficient and ICC were 0.79 (p < 0.001) and 0.84, respectively. The developed model successfully estimated PA intensity with high accuracy in both adults and children. The application of this model enables independent investigation of PA intensity, facilitating research in health monitoring and potentially in areas such as myopia prevention and control.

Impact of a Discontinuous Training Program on Sedentary Behavior in Italian Type 2 Diabetes Older Patients: The Results of the TRIPL-A Randomized Controlled Trial.

Background: Physical activity is an important predictor of quality of life in older adults with type 2 diabetes (T2D). Unfortunately, most T2D adults adopt a sedentary lifestyle. The randomized, controlled TRIPL-A trial aims to verify the effect of a personalized, discontinuous exercise program on a sedentary lifestyle of T2D older adults. Methods: A total of 305 T2D patients (mean age ± SD: 68.8 ± 3.3 years) were divided into a control arm receiving only behavioral counseling and an intervention arm of an 18-month supervised discontinuous exercise program (ERS). The primary outcomes were the changes in sitting time (ST) and metabolic equivalent (MET) values, both evaluated by the International Physical Activity Questionnaire short form. A repeated measures ANOVA with Bonferroni correction for multiple comparisons was used to compare study outcomes. Results: The ST and MET differed significantly during the study compared to the control group (p = 0.028 and p = 0.004, respectively). In the intervention group, a decrease from baseline in ST at 6 months (p = 0.01) and an increase in MET values at 6 months (p = 0.01) up to 12 months (p < 0.01) were found. No significant differences were found for the other variables. Conclusions: Beneficial lifestyle changes were found within the first year of intervention. These results align with the theory of change.

Assessment of Body Mass Index, Body Composition, Physical Activity, and Dietary Preferences in University Students: A Pilot Study

(1) Background: Body composition analysis, particularly the assessment of the amount and distribution of body fat and muscle mass in young people, is of considerable clinical importance for the detection of nutritional disorders. (2) Methods: University students aged 19–25 years had their body composition measured using a bioimpedance (BIA) device InBody 370S. Furthermore, a questionnaire survey was performed using the questionnaires: factors that influence your choice of food (FCQ); food preference questionnaire for adolescents and adults (FPQ); the international physical activity questionnaire (IPAQ). (3) Results: Body mass index (BMI) values were within a normal range in 89.5% of men and 77.9% of women, while statistically significant differences between the sexes were confirmed for all body parameters (p &lt; 0.001; p = 0.025). The waist-to-hip ratio (WHR) and percentage body fat (PBF) were abnormally high in 50.4% and 44.3% of women, respectively. High values of skeletal muscle mass (SMM), protein, minerals, and bone mineral content (BMC) were identified in 36.8% of men. A total of 88 students (66.7% of men and women) had a higher level of physical activity, i.e., achieved metabolic equivalent (MET) values of more than 3000 per week. (4) Conclusions: BMI does not always have explanatory power for assessing body weight, as it does not consider the percentage distribution of fat and non-fat body mass in the total body weight. Physical activity and a varied diet have a positive effect on achieving optimal body weight and are effective in preventing nutritional disorders (such as obesity and malnutrition) and associated health problems.

Effects of different rehabilitation modality on cardiopulmonary function in patients with acute coronary syndrome after revascularization.

To investigate the effects of different rehabilitation modalities on cardiopulmonary function in patients with acute coronary syndrome after revascularization. Two randomized controlled trials were conducted. All patients were stable for more than 48 h and less than 1 week after revascularization for acute coronary syndrome and were randomly assigned to Group A (home-based rehabilitation group) or Group B (center guided home-based rehabilitation group). The cardiopulmonary exercise test was mainly performed before and 3 months after cardiac rehabilitation (at the end of intervention). The primary endpoints of the study were peak oxygen uptake (VO2peak), and the secondary endpoints were maximum metabolic equivalents (METs), anaerobic threshold exercise load (Load AT), maximal workload (Load max), and anaerobic threshold oxygen uptake (VO2 AT). A total of 106 patients were included in the study, with 47 patients in Group A (with 6 losses) and 50 patients in Group B (with 3 losses). There were no significant difference between the two groups in terms of age, gender, body mass index (BMI), left ventricular ejection fraction(LVEF), low-density lipoprotein cholesterol(LDL-C),cardiovascular risk factors. In Group A, no significant differences in CPET indices were observed before and after the intervention. In Group B, values of maximum metabolic equivalents (METs), peak heart rate (PHR), anaerobic threshold exercise load (Load AT), maximal workload (Load max), maximum ventilation per minute (VE max), peak oxygen uptake (VO2peak), anaerobic threshold oxygen uptake (VO2 AT) and maximum oxygen pulse (VO2/HRmax) were higher than those before the intervention (P < 0.05). In addition, METs (max), Load AT, Load max, VO2 AT, and VO2peak in Group B were higher than those in group A (P < 0.05). The change rates of VO2peak, METs(max), PHR, Load max, VO2 AT, VE max, VO2/HR(max) in the two groups were significantly different before and after intervention (P < 0.05). Cardiac exercise rehabilitation is helpful for improving patients' cardiopulmonary endurance and quality of life. Moreover, rehabilitation modalities with regular hospital guidance can improve cardiopulmonary function in a shorter period,which seems to be more effective than a complete home-based rehabilitation model. http://www.chictr.org.cn, identifier (ChiCTR2400081034).

Associations between physical activity and risk of liver cancer: results from a population-based cohort study in Chinese women

Aims : Epidemiological evidence has revealed varying degrees of relationship between physical activity and risk of most cancers, but the association between physical activity and risk for primary liver cancer in Chinese has seldom been reported. This study aims to characterize the associations between different physical activity types and liver cancer risk in Chinese women. Methods: We collected physical activity information through the physical activity questionnaire (PAQ) and assigned a corresponding metabolic equivalent value according to the physical activity compendium. Multivariable-adjusted Cox regression models were utilized to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) for the relationships between physical activity and liver cancer. Results : A total of 72,674 females were enrolled in the cohort, with a median follow-up time of 18.12 years. By the end of 2016, 255 females were identified as incident cases of liver cancer. In Multivariable-adjusted Cox regression analysis, total physical activity (TPA), daily living physical activity (DPA) and leisure-time physical activity (LTPA) were not associated with the liver cancer risk in women. The highest tertile vs . none of HRs (95%CIs) were 0.82 (0.58, 1.17) for TPA, 0.80 (0.56, 1.15) for DPA, and 1.15 (0.82, 1.61) for adult LTPA in terms of measures as the METs-hour/week. For each activity, we found that the HRs (95%CIs) were 0.77 (0.55, 1.08) for stair climbing and 0.78 (0.53, 1.15) for participation in housework after further adjusting for body mass index and type 2 diabetes. Conclusion : Null significant results were found in the association between physical activity and female liver cancer risk in China.

Heart condition determination based on MET value to NYHA Classification and abnormal ST segment identification

Cardiovascular diseases have always been among the top causes of death. Thus, there were variety of research focuses on cardiac stress test and on self-stress test as well. However, the portable device existed for heart monitoring were still insufficient where most device are for fitness monitoring rather than functional capacity. Thus, this paper determines heart condition based on New York Heart Classification (NYHA) for The Rockport Walking Fitness Test (TRWFT). TRWFT gave out parameters to calculate maximum oxygen consumption (VO2max) to find metabolic equivalent (MET) value. The MET values were compared with NYHA functional capacity classes. Hence, the comparison simplified the heart condition to the urgency to visit hospitals. Plus, ST segments of MIT-BIH ECG database were extracted and assessed for abnormality. Accordingly, a mobile application was developed. The prototype is built using Genuino 101 microcontroller, an AD8232 ECG module with leads to sense heart pulse, and a SD card module. Meanwhile, simulation test on the prototype shows that the prototype succeeds in produce the same values with manual calculation and managed to assess ST segments as programmed. In conclusion, a prototype to demonstrate the implementation of TRFWT and prediction of cardiac condition based on MET value is successful.

O.4.2-10 What can one minute of the day tell about physical capacity?

Abstract Introduction High cardiorespiratory fitness (CRF) allows individuals to perform daily activities and operate at higher intensity levels. This study investigates the association between the CRF and peak intensity of physical activity (PA) in absolute and relative terms. Absolute intensity measures the amount of energy expended per unit of time during an activity, while relative intensity reflects the proportion of an individual's maximal capacity. Methods 1952 adults (803 men, 1149 women) aged 20-69 years participated in the FinFit2017-study. Their CRF was predicted with 6 min walking test, and they wore the accelerometer for at least four days with a minimum of 24 h/day during the seven days measurement period. The participants were divided into CRF thirds by five age groups and sex. Acceleration data were analyzed in 6s epochs and intensity in MET (metabolic equivalent) values were calculated for each epoch. MET values were smoothed with a 1min exponential moving average and the highest daily value was recorded (peakMET). Analysis was done to the weekly mean of daily peakMET values both in absolute and relative terms. Results The CRF correlated significantly with absolute peakMET (r = 0.500) and relative peakMET (r=-0.456). In absolute terms, the highest CRF third had the highest peakMET value for men (6.5±1.8; 6.0±1.5; 5.2±1.2) and women (6.3±1.4; 5.8±1.1; 5.2±1.0). In relative terms, the highest CRF third utilized least of their aerobic capacity (men: 53±14%; 56±13%; 61±15%) and (women: 58±12%; 60±12%; 70±16%). Conclusion One minute of the day can provide valuable information about the individual’s CRF and the level of effort required during PA. Higher measured absolute peakMET may indicate higher CRF, as more fit individuals can sustain higher levels of PA. When an individual’s CRF is taken into account, individuals with lower CRF have to utilize more of their aerobic capacity. Thus, high CRF provides a possibility to operate at higher intensity levels and protects from strenuous PA during daily routines.

Effectiveness of Device-Guided Breathing in Chronic Coronary Syndrome: A Randomized Controlled Study.

Chronic coronary syndrome (CCS) is one of the most life-restricting coronary artery diseases, and symptom relief is the main goal in CCS patients who suffer from angina. To assess the potential benefits of device-guided breathing in CCS patients with angina in this randomized, controlled, single-blinded study. Fifty-one patients with CCS received device-guided breathing for 7 days/8 weeks. Exercise capacity [exercise stress test], cardiac function [transthoracic echocardiography], and angina severity [Canadian Cardiovascular Society Classification] were evaluated initially and after the training. Device-guided breathing was performed at the lowest resistance of the device (POWERbreathe® Classic LR) for the control group (n = 17). The low load training group (LLTG; n = 18) and high load training group (HLTG; n = 16) were trained at 30% and 50% of maximal inspiratory pressure. Baseline characteristics were compared using one-way ANOVA and Kruskal-Wallis test. Categorical data were compared using the chi-square test. ANCOVA was performed to compare changes between three groups. A p value < 0.05 was considered statistically significant. Metabolic equivalent values were significantly improved in both HLTG and LLTG groups (p < 0.001, p = 0.003). The Duke treadmill score significantly improved and shifted to low-risk both in the HLTG (p < 0.001) and LLTG (p < 0.001) groups. Angina severity significantly alleviated after the training in both HLTG and LLTG groups (p < 0.001, p = 0.002). An 8-week long program of short-term respiratory muscle training provided positive gains in exercise capacity and angina severity in CCS patients with angina. The effects of long-term training programs on CCS patients should be investigated clinically because of the possibility of helping to decrease the need for invasive treatments.

The Effect of Home-Based Cardiac Rehabilitation on Cardiovascular Risk Factors Management.

To compare the efficacy of home-based cardiac rehabilitation (HBCR) and center-based cardiac rehabilitation (CBCR) in cardiovascular risk factor management. We performed retrospective review of the electronic medical records of 72 patients who were hospitalized for acute coronary syndrome and participated in a cardiac rehabilitation (CR) program for the first time. The participants were stratified into the HBCR group, receiving educational programs and performing self-exercise at home, and the CBCR group, participating in electrocardiogram monitoring monitoring exercise training in hospital settings. The results of the Lifestyle Questionnaire survey were investigated at baseline, 3 months, and 6 months. Both groups showed significant improvements in serum low-density lipoprotein levels, frequency of alcohol consumption, eating habits and psychological status. Moderate-intensity exercise duration and the maximal metabolic equivalents values improved significantly in both groups but slightly more in the CBCR group. However, the number of current smokers increased in both groups, and no significant changes were found in body mass index, serum glycated hemoglobin levels, serum high-density lipoprotein levels, or high-intensity exercise duration. Regardless of the CR program type, a patient's lifestyle can be modified. Therefore, patients should continue participating in any type of CR program.

Association of physical activity, brain volume, and plasma biomarkers of Alzheimer’s disease: The Shanghai Aging Study

AbstractBackgroundThis study aimed to explore the potential relationship between physical activity and brain volume as well as plasma biomarkers of Alzheimer’s disease in the Chinese population.MethodThis cross‐sectional analysis included 99 dementia‐free community‐dwelling older adults from the Shanghai Aging Study. Physical activity was assessed based on questionnaires and further transformed into metabolic equivalent values (MET‐hours). Older adults were then divided into two groups: low physical activity (≤21.0 MET‐hours) and high physical activity (&gt;21.0 MET‐hours), based on the median of MET‐hours. Data on age, sex, years of education, and smoking status were collected through questionnaires. DNA was extracted from the blood or saliva samples to conduct apolipoprotein E (APOE) genotyping. Histories of hypertension and diabetes were confirmed by the medical records. Voxel‐based morphometry analysis was performed to quantify brain volumes. Hippocampal volume estimates were obtained using the free surfer image analysis suite. Plasma β amyloidAβ40, Aβ42, Tau, and neurofilament light (Nfl) were measured by the single‐molecule array. Multivariate linear models were used to examine the association between physical activity, brain volumes, and plasma biomarkers.ResultWe observed a significant inverse association between physical activity and the level of plasma Aβ40 (high vs. low physical activity, β = ‐17.883, r = ‐0.222, p = 0.039) and a marginally significant association between physical activity and the level of plasma Aβ42 (high vs. low physical activity, β = ‐1.394, r = ‐0.204, p = 0.058), after adjusting for age, sex, years of education, APOE ε4, smoking, hypertension, and diabetes. Physical activity displayed no significant associations with plasma Tau, Nfl as well as brain volumes.ConclusionThe protective effect of physical activity on cognition might rely on its effect on the β amyloid burden.

Estimating physical activity levels for regular and non-regular bike share users in Charleston, South Carolina

IntroductionThe growth of bike share systems has increased opportunities for active transportation and recreation. Using Global positioning system data for all trips in two years for the Charleston, South Carolina bike share system, the objectives of the study were to 1) demonstrate a physical activity estimation process for bike share trips, 2) describe the estimated activity levels for the bike share system, and 3) examine differences in bike share physical activity levels by bike share membership type. MethodsAll bike share trips taken in 2018 and 2019 were analyzed in this study (n = 93,470). Global positioning system data was used to record the distance and duration, which was used to calculate average speed for all trips. Based on this speed, a metabolic equivalent (MET) value derived from the Compendium of Physical Activities (2010) was assigned to each bike share trip and total MET-minutes were estimated for each trip. Differences in MET-minutes by bike share membership type, day of the week, and seasonality were analyzed using linear regression. ResultsOn average, each bike share trip resulted in 147.8 MET-minutes, or about 30% of the minimum weekly recommended physical activity (i.e., 500–1000 MET-minutes). Trips were evenly split into light and moderate intensity based on MET values. Bike share members classified as regular users accumulated greater MET-minutes per trip compared to those classified as non-regular users (b=147.9, p<0.001). ConclusionsBike share systems can estimate the physical activity levels for trips using global positioning system data and an evidence-based approach. Both regular and non-regular bike share use can contribute to meeting daily physical activity recommendations, quantifying a health promotion component for bike share systems.

Prediction of the Physical Activity Level of Community-Dwelling Older Japanese Adults with a Triaxial Accelerometer Containing a Classification Algorithm for Ambulatory and Non-Ambulatory Activities

Accurate methods for the prediction of the total energy expenditure and physical activity level (PAL) in community-dwelling older adults have not been established. Therefore, we examined the validity of estimating the PAL using an activity monitor (Active style Pro HJA-350IT, [ASP]) and proposed correction formulae for such populations in Japan. Data for 69 Japanese community-dwelling adults aged 65 to 85 years were used. The total energy expenditure in free-living conditions was measured with the doubly labeled water method and the measured basal metabolic rate. The PAL was also estimated from metabolic equivalent (MET) values obtained with the activity monitor. Adjusted MET values were also calculated with the regression equation of Nagayoshi et al. (2019). The observed PAL was underestimated, but significantly correlated, with the PAL from the ASP. When adjusted using the Nagayoshi et al. regression equation, the PAL was overestimated. Therefore, we developed regression equations to estimate the actual PAL (Y) from the PAL obtained with the ASP for young adults (X) as follows: women: Y = 0.949 × X + 0.205, mean ± standard deviation of the prediction error = 0.00 ± 0.20; men: Y = 0.899 × X + 0.371, mean ± standard deviation of the prediction error = 0.00 ± 0.17.

The vicious cycle of physical inactivity, fatigue and kinesiophobia in patients with fibromyalgia syndrome.

This study aims to determine the association between fatigue, kinesiophobia, disease severity, and physical inactivity by comparing fibromyalgia syndrome (FMS) patients with healthy controls. Pain and fatigue are significant barriers to the participation in functional activities. Inactivity is a result of fatigue, but exercise is the foundation of FMS treatment. This case-control study included a total of 203 participants (107 patients with FMS and 96 healthy volunteers). The fibromyalgia impact questionnaire, the fatigue severity scale, the international physical activity questionnaire, and the Tampa scale for kinesiophobia were assessed. The FMS group scored significantly higher on the fatigue severity scale and kinesiophobia than the control group (p<0.001). Significantly lower metabolic task equivalent (MET) scale values were observed in the FMS group compared to the control group (p<0.001). The severity of fatigue and kinesiophobia correlated positively with the FMS impact questionnaire (p=0.001, r=0.621) and negatively with the MET scale (p=0.009, r= -0.287). Patients with FMS experience greater fatigue, kinesiophobia, and inactivity. As the severity of FMS worsens, so do disability, kinesiophobia, and fatigue. This study highlights the importance of breaking the cycle of fatigue and inactivity in the treatment of FMS.

Moderate-intensity stepping in older adults: insights from treadmill walking and daily living

BackgroundA step cadence of 100 steps/minute is widely used to define moderate-intensity walking. However, the generalizability of this threshold to different populations needs further research. We investigate moderate-intensity step cadence values during treadmill walking and daily living in older adults.MethodsOlder adults (≥ 60 years) were recruited from urban community venues. Data collection included 7 days of physical activity measured by an activPAL3™ thigh worn device, followed by a laboratory visit involving a 60-min assessment of resting metabolic rate, then a treadmill assessment with expired gas measured using a breath-by-breath analyser and steps measured by an activPAL3™. Treadmill stages were undertaken in a random order and lasted 5 min each at speeds of 1, 2, 3, 4 and 5 km/h. Metabolic equivalent values were determined for each stage as standardised values (METSstandard) and as multiples of resting metabolic rate (METSrelative). A value of 3 METSstandard defined moderate-intensity stepping. Segmented generalised estimating equations modelled the association between step cadence and MET values.ResultsThe study included 53 participants (median age = 75, years, BMI = 28.0 kg/m2, 45.3% women). At 2 km/h, the median METSstandard and METSrelative values were above 3 with a median cadence of 81.00 (IQR 72.00, 88.67) steps/minute. The predicted cadence at 3 METSstandard was 70.3 (95% CI 61.4, 75.8) steps/minute. During free-living, participants undertook median (IQR) of 6988 (5933, 9211) steps/day, of which 2554 (1297, 4456) steps/day were undertaken in continuous stepping bouts lasting ≥ 1 min. For bouted daily steps, 96.4% (90.7%, 98.9%) were undertaken at ≥ 70 steps/minute.ConclusionA threshold as low as 70 steps/minute may be reflective of moderate-intensity stepping in older adults, with the vast majority of all bouted free-living stepping occurring above this threshold.

Cardiopulmonary Fitness of Preschoolers with Congenital Heart Disease: An Observational Study.

With advancements in cardiopulmonary rehabilitation over the past few decades, the survival rate of patients with congenital heart disease (CHD) has increased. However, the Cardiopulmonary fitness (CPF) of these patients is poor. Here, we aimed to investigate CPF in preschoolers with CHD (aged 4 to 6 years) using cardiopulmonary exercise testing. We retrospectively compared 102 healthy preschoolers with 80 preschoolers with CHD. The latter had lower peak oxygen consumption, oxygen consumption at anaerobic threshold and metabolic equivalent at anaerobic threshold. The same result was observed in boys with CHD, but not in girls, when sex was sub-analyzed. Considering the body composition, children with CHD had a lower fat-free mass index (FFMI) than their healthy peers. Healthy preschoolers with a normal body mass index (BMI) had higher anaerobic threshold and peak metabolic equivalent values than overweight or underweight children. This was categorized under the BMI reference of the Ministry of Health and Welfare in Taiwan. In conclusion, the CPF difference between the CHD and healthy groups was identified as early as in preschool age, and better CPF in healthy preschoolers within the normal BMI range suggests the importance of weight control in young children.

Comparison of different insulin resistance surrogates to predict hyperuricemia among U.S. non-diabetic adults.

Although it has been well-acknowledged that insulin resistance (IR) plays a critical role in the development of hyperuricemia (HU), specific relationship between IR and HU in non-diabetic patients remains rarely studied, and there is still no large-scale research regarding this issue. This study aims to explore the association between triglyceride glucose (TyG), TyG with body mass index (TyG-BMI), the ratio of triglycerides divided by high-density lipoprotein cholesterol (TG/HDL-C), metabolic score for insulin resistance (METS-IR), and the risk of HU in non-diabetic patients in The United States of America. Data from the National Health and Nutrition Examination Survey (NHANES) enrolling a representative population aged ≥18-year-old were included to calculate these four indexes. Logistic regression analysis was applied to describe their associations and calculate odds ratios (OR) while the Receiver Operating Characteristic curve was utilized to assess the prediction ability of these four indexes. A total of 7,743 people (3,806 males and 3,937 females, mean age: 45.17 ± 17.10 years old) were included in this study, among whom 32.18% suffered from HU. After adjustment for sex, age, ethnicity, education background, smoking status, drinking status, systolic blood pressure (SBP), diastolic blood pressure (DBP), metabolic equivalent values (METs), total cholesterol, low-density lipoprotein cholesterol, and estimated glomerular filtration rate, it showed that all four indexes were closely related to HU. Compared with the lowest quartile, OR of the highest quartile of these four indicators for HU were as following respectively: TyG: 5.61 (95% CI: 4.29-7.32); TyG-BMI: 7.15 (95% CI: 5.56-9.20); TG/HDL-C: 4.42 (95% CI: 3.49-5.60); METS-IR: 7.84 (95% CI: 6.07-10.13). TyG, TyG-BMI, TG/HDL-C and METS-IR had moderate discrimination ability for HU, with an AUC value of 0.66 (95% CI: 0.65-0.68), 0.67 (95% CI: 0.65-0.68), 0.68 (95% CI: 0.67-0.69) and 0.68 (95% CI: 0.66-0.69) respectively. Each index showed better prediction ability for HU risk in females than in males. It was found that the risk of HU was positively associated with the elevation of TyG, TyG-BMI, TG/HDL-C and METS-IR in a large-scale population of U.S., and TyG-BMI and METS-IR have a better ability to identify HU in both genders.

Physical Activity Levels (PAL) in US Adults-2019.

Physical activity levels (PAL) are associated with mortality risk and were instrumental in estimating national energy requirements, but we are unaware of population-based estimates of PAL in US adults. Thus, we conducted a nationwide survey using a validated previous-day recall method to estimate PAL and the behavioral determinants of low and higher PAL. Participants from the AmeriSpeak panel 20-75 yr of age ( N = 2640) completed Activities Completed over Time in 24-hours previous-day recalls. PAL values were estimated as the average metabolic equivalent value over 24 h. Recalls were conducted on randomly selected days in October and November 2019. Survey sample design weights were applied to reflect the US population. Mean age was 45.3 yr, 51% were female, 67% were non-Hispanic White, and 37% had a body mass index of ≥30 kg·m -2 . US adults reported a mean PAL of 1.63 (95% confidence interval, 1.60-1.65), and 39% (37%-42%) of adults reported PAL ≥1.6 on a given day. Men reported higher PAL than women (1.67 vs 1.59), and older adults reported lower PAL. Adults with PAL <1.4 spent 81% (12.1 h·d -1 ) of their waking day sedentary and 19% (2.7 h·d -1 ) in total physical activity. Adults with PAL considered to be "active"(1.6-1.89) spent only 49% (8.0 h·d -1 ) of their waking day sedentary, and 51% (8.3 h·d -1 ) physically active. Our study provides novel estimates of PAL in a nationwide sample of US adults and a description of the type and intensity of sedentary and physically active behaviors contributing to low and higher PAL. These findings may inform public health messages aimed at increasing physical activity in adults and potentially contribute to obesity prevention efforts.

Occupational and domestic physical activity and diabetes risk in adults: Results from a long-term follow-up cohort.

Physical activity (PA) has been associated with decreased incidence of diabetes. However, few studies have evaluated the influence of occupational and domestic PA on the risk of diabetes with a long-term follow-up. We aimed to examine the association between occupational and domestic PA and the risk of diabetes in a long-term prospective cohort of Chinese adults. A total of 10,343 adults who were followed up in the China Health and Nutrition Survey from 1997 to 2015 were included in our analysis. Occupational and domestical PA were collected with detailed seven-day data and were converted into metabolic equivalents values. Total PA included occupational, domestic, transportation, and leisure time PA. Diabetes cases were identified by self-reported doctor/health professional diagnosis of diabetes, fasting blood glucose ≥7.0 mmol/L, and glycosylated hemoglobin (HbA1c) ≥6.5%. Cox proportional hazards models were used to calculate hazard ratios (HR) and 95% confidence intervals (CI). During up to 18 years of follow-up (median 10 years), there were 575 diabetes cases documented. Occupational PA accounted for the majority of total PA (68%) in Chinese population, followed by domestic PA (25%). With adjustments for possible covariates, the highest quartiles of total PA (HR, 0.728 [95% CI, 0.570-0.929]) and occupational PA (HR, 0.765 [95% CI, 0.596-0.982]) were significantly associated with a lower risk of diabetes compared with lowest quartiles. The association between domestic PA and the risk of diabetes was insignificant (P >0.05). Higher levels of occupational PA were associated with a decreased risk of diabetes risk in the Chinese population. Domestic PA was not associated with the incidence of diabetes.