Physical Activity Energy Expenditure Research Articles

Physical activity levels and musculoskeletal disease risk in adults aged 45 and above: a cross-sectional study

BackgroundMusculoskeletal disease (MSD) is a major cause of disability among older adults, and understanding the role of physical activity (PA) in preventing these conditions is crucial. This study aimed to explore the association between PA levels and MSD risk among adults aged 45 and above, clarify the dose‒response relationship, and provide tailored guidelines.MethodsUsing data from the China Health and Retirement Longitudinal Study (CHARLS), a cross-sectional analysis was conducted on 15,909 adults aged 45 and over. The study population was divided into MSD (n = 7014) and nMSD (n = 8895) groups based on musculoskeletal health status. PA levels were assessed using the International Physical Activity Questionnaire and categorized into low intensity physical activity (LIPA), moderate vigorous physical activity (MVPA), and vigorous physical activity (VPA). Multivariable logistic regression models and restricted cubic spline regression were used to examine the relationship between PA levels and MSD risk in middle-aged and older adults. Sensitivity analyses and stratified analyses were also performed.ResultsThe main outcome measures were musculoskeletal diseases prevalence and PA levels. MVPA and VPA reduced MSD risk by 19% [OR = 0.81, 95% CI (0.72, 0.90), P < 0.001] and 12% [OR = 0.88, 95% CI (0.79, 0.98), P < 0.05], respectively. What’s more, after adjusting for confounding factors, VPA increased risk by 32% [OR = 1.32, 95% CI (1.04, 1.66), P < 0.05]. The relationship was nonlinear, showing a U-shaped pattern with age and hypertension status as significant moderators. The optimal PA energy expenditure was identified as approximately 1500 metabolic equivalents of tasks (METs) per week for adults aged 45–74, 1400 METs per week for those aged 75 and above, and 1600 METs per week for hypertensive adults aged 45 and older.ConclusionsFor adults aged 45 years and older, VPA significantly increases the risk of MSD. Adults aged 45 years and older should adjust their weekly METs based on their age. Additionally, those with hypertension should moderately increase their weekly METs to promote optimal musculoskeletal health.

Modulators of Energy Expenditure Accuracy in Adults with Overweight or Obesity: E-MECHANIC Secondary Analyses.

American College of Sports Medicine (ACSM) metabolic equations are used to estimate energy expenditure (EE) of physical activity and prescribe aerobic exercise to meet EE requirements. Limited evidence supports their accuracy in sedentary adults with overweight or obesity during controlled exercise interventions. The purpose of this study was to compare EE estimated by the ACSM walking equation versus EE measured by indirect calorimetry during a 24-week aerobic exercise intervention, and identify potential modulators for their accuracy. Data from the exercising groups (8 or 20 kcal·kg body weight-1·week-1) of the E-MECHANIC study were utilized in this ancillary analysis (N = 103). Every 2 weeks for the initial 8 weeks and monthly thereafter, EE was measured via indirect calorimetry during absolute (2 mph, 0% grade) and relative (65-85% VO2peak) workload exercise. Resting metabolic rate, VO2peak, and body composition were assessed at baseline and follow-up. An EE offset factor (EOF) was calculated to express measured EE as a percentage of the estimated EE at each workload (EOF < 100% represents an overestimation of ACSM estimated EE). The accuracy of the equation decreased with increasing exercise workload (0.44%, 9.2%, and 20.3% overestimation at absolute, relative, and maximal workloads, respectively, at baseline) and overestimation of EE was greater after the exercise intervention. Furthermore, race, sex, age, fat mass, and VO2peak were identified as modulators for equation accuracy. Greater overestimation of EE was observed in Black compared to white females, particularly at lower exercise workloads. These findings support future efforts to improve the accuracy of metabolic equations, especially in diverse populations. Researchers should account for exercise efficiency adaptations when using metabolic equations to prescribe exercise precisely.

Combined associations of physical activity, diet quality and their changes over time with mortality: findings from the EPIC-Norfolk study, United Kingdom

BackgroundPhysical activity (PA) and diet quality have each been shown to be inversely associated with mortality but their combined impact on longevity has been less explored, particularly when considering their changes over time. This study aimed to examine the separate and combined associations of PA, diet quality and their changes over time with mortality outcomes.MethodsA prospective cohort study was performed on 9349 adults aged 40 to 79 years from the population-based European Prospective Investigation into Cancer in Norfolk Study, with repeated measurements of PA and diet (from 1993 till 2004) and subsequent follow-up till 2022 (median follow-up 18.8 years). Validated questionnaires were used to derive physical activity energy expenditure (PAEE) as a proxy of total PA and adherence to the Mediterranean diet score (MDS, range 0–15 points) as an indicator of overall diet quality, and their changes over time (∆PAEE and ∆MDS). Cox regression models adjusted for potential confounders and mediators were used to estimate hazard ratios (HRs) and 95% CIs.ResultsOver 149,681 person-years of follow-up, there were 3534 deaths. In adjusted models, for each 1-SD difference in baseline PAEE (4.64 kJ/kg/day), ∆PAEE (0.65 kJ/kg/day per year), baseline MDS (1.30 points) and ∆MDS (0.32 points per year), HRs (95% CI) for all-cause mortality were 0.90 (0.86 to 0.94), 0.89 (0.85 to 0.93), 0.95 (0.91 to 0.99) and 0.93 (0.90 to 0.97), respectively. Compared with participants with sustained low PAEE (< 5 kJ/kg/day) and low MDS (< 8.5 points), those with sustained high PAEE and high MDS had lower all-cause mortality (HR 0.78; 95% CI: 0.68–0.91), as did those who improved both PAEE and MDS (0.60; 0.44–0.82). There was no evidence of interaction between PA and diet quality exposures on mortality risk. Population impact estimates suggested that if all participants had maintained high levels of PA and diet quality consistently, cumulative adjusted mortality rate would have been 8.8% (95% CI: 2.4 to 15.3%) lower.ConclusionsThese findings suggest that adopting and maintaining higher levels of PA and diet quality are associated with lower mortality. Significant public health benefits could be realised by enabling active living and healthy eating through adulthood.

Physical activity, metabolites, and breast cancer associations.

The effects of usual physical activity on physiology and disease prevention are not fully understood. We examined the associations between physical activity, metabolites, and breast cancer risk. Physical activity levels were assessed using doubly labeled water, accelerometers, and 24-hr recalls in the IDATA study (N = 707 participants, ages 50-74 years, 51% women), with 1-6 assessments over 12 months and two blood sample collections. Partial Spearman correlations were used to estimate associations between physical activity and 843 serum metabolites, corrected for multiple testing. Conditional logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) of metabolites with postmenopausal breast cancer in a nested case-control study (621 cases, 621 controls), all statistical tests were 2-sided. Physical activity was associated with 164 metabolites spanning numerous pathways, including amino acid and fatty acid metabolism. Twelve of these metabolites were also associated with breast cancer risk, ten of which supported a protective role of physical activity. Notably, higher physical activity was associated with lower 16alpha-hydroxy DHEA 3-sulfate (androgen) and adipoylcarnitine (fatty acid), both of which were associated with increased breast cancer risk (OR per 1 standard deviation (SD)=1.34, 95% CI = 1.16-1.55 and 1.26,1.11-1.42, respectively). Higher physical activity energy expenditure was also associated with lower sphingomyelin (d18:1/20:1, d18:2/20:0), which was associated with a reduced breast cancer risk (0.82,0.73-0.93). Physical activity is associated with a broad range of metabolites, many of which are consistent with a protective effect against breast cancer. Our findings highlight potential metabolic pathways for cancer prevention.

Prediction Of Energy Expenditure Of Physical Activities During Balneotherapy Using Heart Rates

Prediction Of Energy Expenditure Of Physical Activities During Balneotherapy Using Heart Rates

Improving physical and mental health in women with breast cancer undergoing anthracycline-based chemotherapy through wearable device-based aerobic exercise: a randomized controlled trial.

Aimed to assess the impact of wearable device-based aerobic exercise on the physical and mental well-being of women with breast cancer (BC) undergoing chemotherapy. Forty adult women with BC who underwent anthracycline-based chemotherapy were randomly allocated to the exercise group (n = 21) or the control group (n = 19). Both groups received standard health education and oncology care. In addition, the exercise group wore wearable devices to engage in moderate to high-intensity (50-90% HRmax) aerobic exercise during chemotherapy, while the control group did not carry out exercise intervention. Health-related physical fitness level, physical activity energy expenditure (PAEE), anxiety and depression scores, sleep quality, cancer-related fatigue, and overall quality of life (QoL), were assessed both before (prior to the first chemotherapy session) and after (prior to the fifth chemotherapy session) the exercise intervention. Exercise-related adverse events, exercise compliance, number and severity of gastrointestinal reactions and myelosuppression occurred were recorded during the exercise intervention. After the intervention, compared to the control group, the exercise group (1) had significantly higher relative VO2peak (p = 0.003) and handgrip strength (p < 0.001); (2) had significantly higher PAEE (p < 0.001); (3) had a significantly lower scores in anxiety (p = 0.007), depression (p = 0.028), sleep quality in domains of subjective sleep quality (p = 0.010), sleep disturbances (p = 0.004), daytime dysfunction (p = 0.007), cancer-related fatigue in domains of physical (p < 0.001) and affective (p < 0.001); and (4) had a significantly lower scores in QoL in domains of physical well-being (p < 0.001) and emotional well-being (p = 0.019), while a significantly higher scores in functional well-being (p < 0.001). Patients in the exercise group experienced less severe gastrointestinal reactions (p = 0.028) and myelosuppressive symptoms (p < 0.001) than that in the control group. Patients in the exercise group had no serious exercise-related adverse events, with a mean exercise adherence of 81.8%. Wearable device-based aerobic exercise during chemotherapy can be an effective adjunctive therapy to improve physical and mental health in BC patients. https://www.chictr.org.cn/showproj.html?proj=200247, Identifier: ChiCTR2300073667.

Examining the Cycle of Physical Frailty in Falls Clinic Attendees Through Structural Equation Modeling.

In 1998, Fried and Walston introduced the Cycle of Frailty (CF) as a foundational concept for defining the physical frailty phenotype (FP). While the FP has been extensively validated, the CF hypothesis lacks equivalent support. This study aimed to internally validate the CF using structural equation modeling (SEM) in a clinical dataset of adults aged 50 or older attending an outpatient falls clinic. Measures included: age, morbidity, nutrition, sarcopenia by bioelectrical impedance, VO2max, handgrip strength, basal metabolic rate (BMR), 5-times chair stand test (5CST), physical activity, and total energy expenditure (TEE). The SEM, incorporating CF hypothesized causal pathways, was tested using IBM® SPSS® Amos 27.0.0 (maximum likelihood method) with a sample of 102 adults (mean age 69.8 years, 58.8% women). Overall, the SEM was supported by the data (χ2 = 44.4, df = 37, p = 0.189), with significant (p < 0.05) regression weights for morbidity→sarcopenia, age→sarcopenia, sarcopenia→VO2max, sarcopenia→handgrip strength, handgrip strength→5CST, physical activity→TEE, TEE→nutrition, and BMR→TEE. However, nutrition→sarcopenia, sarcopenia→BMR, VO2max→5CST, and 5CST→physical activity were not significant. Although the SEM was limited by inclusion of surrogate CF measures (e.g., 5CST instead of gait speed, VO2max based on age-predicted maximal/resting heart rate), it provided some internal support for the CF hypothesis.

Energy Expenditure in Humans: Principles, Methods, and Changes Throughout the Life Course.

Humans require energy to sustain their daily activities throughout their lives. This narrative review aims to (a) summarize principles and methods for studying human energy expenditure, (b) discuss the main determinants of energy expenditure, and (c) discuss the changes in energy expenditure throughout the human life course. Total daily energy expenditure is mainly composed of resting energy expenditure, physical activity energy expenditure, and the thermic effect of food. Total daily energy expenditure and its components are estimated using variations of the indirect calorimetry method. The relative contributions of organs and tissues determine the energy expenditure under different physiological conditions. Evidence shows that energy expenditure varies along the human life course, at least in part due to changes in body composition, the mass and specific metabolic rate of organs and tissues, and levels of physical activity. This information is crucial to estimate human energy requirements for maintaining health throughout the life course.

Validation of activity trackers to estimate energy expenditure in older adults with cardiovascular risk factors.

To compare different types of activity trackers recording physical activity energy expenditure (PAEE) and examine their criterion validity against indirect calorimetry (IC) as the gold standard in adults over 60 years of age with a special focus on women with cardiovascular risk. Synchronous registrations of PAEE were performed with up to four different devices to determine criterion validity against IC while participants performed a protocol of simulated activities in a laboratory setting. Thirty-four participants (25 women, 9 men) with at least a light cardiac risk performed a protocol of simulated activities in a laboratory setting (daily living activities, cycle ergometer test). PAEE was simultaneously assessed by IC, two research-grade activity trackers (ActiGraph-wGT3X-BT and Actiheart-4) and two consumer-level activity trackers (OMRON pedometer and Fitbit Charge-3). Tracker-derived PAEE was compared with PAEE calculated from IC descriptively and by Bland-Altman plots. The ActiGraph (0.7 ± 0.4 kcal/min), the Actiheart (1.1 ± 0.6 kcal/min) and the OMRON (0.8 ± 0.6 kcal/min) underestimated, while the Fitbit (3.4 ± 1.2 kcal/min) overestimated PAEE compared to IC-PAEE (2.0 ± 0.5 kcal/min). The Bland-Altman limits of agreement (LoA) against IC were +0.5/+2.2 kcal/min for the ActiGraph, -0.3/+2.1 kcal/min for the Actiheart, -3.7/+1.0 kcal/min for the Fitbit, and -0.5/+2.9 kcal/min for the OMRON. The magnitude of the deviation varied considerably depending on the activity (e.g. walking, cleaning, cycle ergometer test). The research-grade activity trackers estimated PAEE with higher validity than the commercially available activity trackers. The partly very wide LoA have to be critically considered when assessing PAEE in the context of health service research, as individual Physical Activity behaviour may be under- or overestimated.

Lifestyle Behaviors and Psychological Health in Adolescents with Overweight or Obesity: Cross-sectional Associations with Weight Underestimation.

Encouraging adolescents with overweight/obesity to accurately perceive their weight in the belief that this will improve their lifestyle behaviors (physical activity (PA), sedentary behavior (SB), eating behavior (EB)) may be detrimental to their psychological health. This study aimed to investigate associations between weight underestimation and lifestyle behaviors along with psychological health in French adolescents with overweight or obesity. Baseline data from adolescents who participated in a school-based trial were used. Lifestyle behaviors and psychological health (anxiety, depression, eating disorders, quality of life (QoL)) were self-reported. Weight underestimation was measured by matching objective and perceived weight status. Multilevel models were computed to investigate associations between weight underestimation and lifestyle behaviors and psychological health, by gender. Of the 1245 adolescents included (15.3 ± 0.7years), 15.8% underestimated their objective weight (boys 24.2%; girls 8.2%). Boys with underestimation had higher vigorous PA energy expenditure (β = 372.7 MET-min/week, 95%CI [25.1;720.4]), and lower daily sugar-sweetened beverages and foods consumption (β = - 0.3 points, 95%CI [- 0.7; - 0.0]) than those with accurate perception. Girls with weight underestimation had lower eating disorder (β = - 6.0 points, 95%CI [- 9.6; - 2.5]), anxiety (β = - 7.8 points, 95%CI [- 13.8; - 1.9]), and higher QoL (β = 3.3 points, 95%CI [0.0; 6.5]) scores than girls with accurate perception. Weight underestimation among adolescents with overweight or obesity was associated with healthier lifestyle behaviors in boys, and better psychological health (eating disorder, anxiety and QoL) in girls. Accurate perception of weight status may not be a relevant lever to improve lifestyle behaviors and psychological health.

Validity of predictive equations for total energy expenditure against doubly labeled water

Variations in physical activity energy expenditure can make accurate prediction of total energy expenditure (TEE) challenging. The purpose of the present study was to determine the accuracy of available equations to predict TEE in individuals varying in physical activity (PA) levels. TEE was measured by DLW in 56 adults varying in PA levels which were monitored by accelerometry. Ten different models were used to predict TEE and their accuracy and precision were evaluated, considering the effect of sex and PA. The models generally underestimated the TEE in this population. An equation published by Plucker was the most accurate in predicting the TEE in our entire sample. The Pontzer and Vinken models were the most accurate for those with lower PA levels. Despite the levels of accuracy of some equations, there were sizable errors (low precision) at an individual level. Future studies are needed to develop and validate these equations.

A CNN Model for Physical Activity Recognition and Energy Expenditure Estimation from an Eyeglass-Mounted Wearable Sensor.

Metabolic syndrome poses a significant health challenge worldwide, prompting the need for comprehensive strategies integrating physical activity monitoring and energy expenditure. Wearable sensor devices have been used both for energy intake and energy expenditure (EE) estimation. Traditionally, sensors are attached to the hip or wrist. The primary aim of this research is to investigate the use of an eyeglass-mounted wearable energy intake sensor (Automatic Ingestion Monitor v2, AIM-2) for simultaneous recognition of physical activity (PAR) and estimation of steady-state EE as compared to a traditional hip-worn device. Study data were collected from six participants performing six structured activities, with the reference EE measured using indirect calorimetry (COSMED K5) and reported as metabolic equivalents of tasks (METs). Next, a novel deep convolutional neural network-based multitasking model (Multitasking-CNN) was developed for PAR and EE estimation. The Multitasking-CNN was trained with a two-step progressive training approach for higher accuracy, where in the first step the model for PAR was trained, and in the second step the model was fine-tuned for EE estimation. Finally, the performance of Multitasking-CNN on AIM-2 attached to eyeglasses was compared to the ActiGraph GT9X (AG) attached to the right hip. On the AIM-2 data, Multitasking-CNN achieved a maximum of 95% testing accuracy of PAR, a minimum of 0.59 METs mean square error (MSE), and 11% mean absolute percentage error (MAPE) in EE estimation. Conversely, on AG data, the Multitasking-CNN model achieved a maximum of 82% testing accuracy in PAR, a minimum of 0.73 METs MSE, and 13% MAPE in EE estimation. These results suggest the feasibility of using an eyeglass-mounted sensor for both PAR and EE estimation.

Energy Expenditure Validation of an Exergame Platform: Ring Fit Adventure Use in Adults with Overweight and Obesity.

Objective: This study aims at comparing the energy expenditure (EE) and heart rate (HR) data from Ring Fit Adventure (RFA) with those from indirect calorimetry (COSMED) and a heart rate monitor (Polar FT7). A secondary goal is to evaluate self-reported enjoyment and perceived effort levels. Materials and Methods: Thirty participants (age = 21.8 ± 2.2; body mass index = 31.8 ± 4.4) were recruited for two laboratory visits. The first visit involved baseline measurements. In the second visit, participants performed a 55-minute ad libitum exercise session with the RFA in adventure mode with moderate difficulty. During this session, EE, HR, perceived effort, and enjoyment of physical activity were recorded. Results: Although no statistically significant overestimation of EE was found between the RFA and the metabolic cart, two-way analysis of variance results show a main effect of condition (RFA vs. Polar FT7) on HR (122.8 ± 20.1 bpm and 129.0 ± 18.6 bpm; P = 0.007; ᶯp2 = 0.235). Based on comprehensive statistical evaluations, including the mean absolute percent error, intraclass correlations, typical error of measurement, and limits of agreement, the data suggest that the RFA provides reliable estimates for EE and HR. Overall, participants enjoyed the game considerably (71.3 ± 5.9/80 arbitrary units), and their reported perceived exertion was low. Conclusion: This study underscores that the RFA values are relatively accurate and precise, and thus it can be safely suggested for individuals with overweight and obesity to adopt an active lifestyle.

Changed pattern of physical activity and energy expenditure among mid-pregnancy women during China's COVID-19 lockdown: A cross-sectional study

BackgroundThis study examines the physical activity (PA) patterns and energy expenditure of Chinese pregnant women during the COVID-19 lockdown, their influencing factors, and explores potential improvement strategies. MethodsA survey using the Chinese version of the Pregnancy Physical Activity Questionnaire (PPAQ) was conducted among 610 women in their second trimester. It compared their PA patterns and energy expenditure during the lockdown with pre-pandemic levels. Factors influencing PA were analyzed using one-way ANOVA and regression. ResultsAlthough aware of PA benefits, respondents overestimated their PA levels during lockdown, showing significantly lower PA and energy expenditure than before pregnancy, primarily in housework and caregiving activities. Average energy expenditure was 34.3 MET-hrs/wk. Influential factors included concerns about miscarriage/preterm birth, parity, pre-pregnancy exercise habits, and family opposition. ConclusionsThe lockdown notably decreased PA patterns and energy expenditure in mid-pregnancy, highlighting a gap between perception and practice. Activities were mainly sedentary to light-intensity. Influencing factors suggest the need for targeted health education and support. Implementing adaptive strategies, personalized antenatal care, effective health education, family engagement, and digital health tools could enhance PA during restrictive periods like lockdowns.

Energy expenditure and dietary intake in professional female football players in the Dutch Women’s League: Implications for nutritional counselling

ABSTRACT In contrast to male football players, research on the nutritional requirements of female football players is limited. This study aimed to assess total daily energy expenditure (TDEE) in professional female football players, along with body composition, physical activity and dietary intake. This observational study included 15 professional football players playing in the highest Dutch Women’s League. TDEE was assessed by doubly labelled water over 14 days, along with resting metabolic rate (RMR; ventilated hood), fat-free mass (FFM; dual-energy x-ray absorptiometry), and dietary intake (24-h recalls). Physical activity energy expenditure (PAEE) was derived from subtracting RMR and estimated diet-induced thermogenesis (10%) from TDEE. TDEE was 2882 ± 278 kcal/day (58 ± 5 kcal/kg FFM) and significantly (p < 0.05) correlated with FFM (r = 0.62). PAEE was 1207 ± 213 kcal/d. Weighted energy intake was 2344 kcal [2023–2589]. Carbohydrate intakes were 3.2 ± 0.7, 4.4 ± 1.1 and 5.3 ± 1.9 g/kg body mass for rest, training and match days, respectively, while weighted mean protein intake was 1.9 ± 0.4 g/kg body mass. In conclusion, the energy requirements of professional female football players are moderate to high and can be explained by the substantial PAEE. To fuel these requirements, sports nutritionists should consider shifting the players’ focus towards prioritizing adequate carbohydrate intakes, rather than emphasizing high protein consumption.

Using $B$-Spline Model on Depth Camera Data to Predict Physical Activity Energy Expenditure of Different Levels of Human Exercise

Using $B$-Spline Model on Depth Camera Data to Predict Physical Activity Energy Expenditure of Different Levels of Human Exercise

The Impact of the Physical Activity Level on Sarcopenic Obesity in Community-Dwelling Older Adults

Previous studies have reported that low levels of physical activity result in sarcopenic obesity (SO). However, the effects of specific intensities of physical activity on SO and the optimal amount of physical activity for lowering the prevalence of SO have not been well studied. This study aimed to identify the effects of physical activity levels and intensity on SO and the optimal amount of physical activity related to a lower prevalence of SO. This cross-sectional study used data from the nationwide Korean Frailty and Aging Cohort Study (KFACS), which included 2071 older adults (1030 men, 1041 women). SO was defined according to the criteria of the European Society for Clinical Nutrition Metabolism (ESPEN) and the European Association for the Study of Obesity (EASO). Multivariate logistic regression analysis was performed to investigate the association between the physical activity level and SO. The high activity group had a significantly lower prevalence of SO than the non-high activity (low and moderate activity) group. On the other hand, moderate-intensity physical activity was associated with a lower prevalence of SO. A total physical activity energy expenditure of &gt; 3032 kcal/week (433 kcal/day) for men and 2730 kcal/week (390 kcal/day) for women was associated with a reduced prevalence of SO. The high physical activity and total physical energy expenditure described above may be beneficial for reducing the prevalence of SO.

The keystone gut species Christensenella minuta boosts gut microbial biomass and voluntary physical activity in mice.

The gut bacteria of the family Christensenellaceae are consistently associated with metabolic health, but their role in promoting host health is not fully understood. Here, we explored the effect of Christensenella minuta amendment on voluntary physical activity and the gut microbiome. We inoculated male and female germ-free mice with an obese human donor microbiota together with live or heat-killed C. minuta for 28 days and measured physical activity in respirometry cages. Compared to heat-killed, the live-C. minuta treatment resulted in reduced feed efficiency and higher levels of physical activity, with significantly greater distance traveled for males and higher levels of small movements and resting metabolic rate in females. Sex-specific effects of C. minuta treatment may be in part attributable to different housing conditions for males and females. Amendment with live C. minuta boosted gut microbial biomass in both sexes, immobilizing dietary carbon in the microbiome, and mice with high levels of C. minuta lose more energy in stool. Live C. minuta also reduced within and between-host gut microbial diversity. Overall, our results showed that C. minuta acts as a keystone species: despite low relative abundance, it has a large impact on its ecosystem, from the microbiome to host energy homeostasis.IMPORTANCEThe composition of the human gut microbiome is associated with human health. Within the human gut microbiome, the relative abundance of the bacterial family Christensenellaceae has been shown to correlate with metabolic health and a lean body type. The mechanisms underpinning this effect remain unclear. Here, we show that live C. minuta influences host physical activity and metabolic energy expenditure, accompanied by changes in murine metabolism and the gut microbial community in a sex-dependent manner in comparison to heat-killed C. minuta. Importantly, live C. minuta boosts the biomass of the microbiome in the gut, and a higher level of C. minuta is associated with greater loss of energy in stool. These observations indicate that modulation of activity levels and changes to the microbiome are ways in which the Christensenellaceae can influence host energy homeostasis and health.

Device-measured physical activity and type 2 diabetes mellitus risk.

We investigated how device-measured physical activity (PA) volume (PA energy expenditure [PAEE]) and intensity (fraction of PAEE from moderate-to-vigorous PA [FMVPAEE]) were associated with the incidence of type 2 diabetes mellites (T2DM). This population-based prospective cohort study included 90,044 participants. The primary exposures were PAEE and FMVPAEE. The secondary exposures were energy expenditure exerted during light, moderate, and vigorous PA and their fraction of PAEE. Each 1-SD increase in PAEE was associated with a 17% lower risk of T2DM (hazard ratio [HR]: 0.83, 95% confidence interval [CI]: 0.78-0.98). Each 1-SD increase in FMVPAEE was associated with a 21% lower incidence of T2DM (HR: 0.79, 95% CI: 0.74-0.83). Achieving the same PA volume (KJ/kg/day) through vigorous PA (HR: 0.88, 95% CI: 0.85-0.91) was more effective in preventing T2DM than moderate PA (HR: 0.97, 95% CI: 0.96-0.98) and light PA (HR: 0.99, 95% CI: 0.98-1.00). A higher PA volume is associated with a lower incidence of T2DM. Achieving the same PA volumes through higher-intensity PA is more effective than low-intensity PA in reducing T2DM incidence.

Effects of a supervised exercise training on body composition after bariatric surgery: a randomized controlled trial.

This study aimed to determine the effects of a multicomponent exercise intervention during the first year post-bariatric surgery (BS) on body composition, weight loss (WL), energy expenditure, and nutrient intake. A total of 84 patients were included in this study and were randomly assigned to either an exercise group (n = 41) or a control group (n = 20). The exercise group participated in a multicomponent exercise program that began 1-month post-BS, whereas the control group received only standard medical care post-BS. Body composition was assessed by dual-energy x-ray absorptiometry, and physical activity energy expenditure was assessed by accelerometers. Nutritional intake was assessed through a 4-day food diary. A total of 6-months post-BS, exercise was found to be effective in mitigating the loss of lower-limb and appendicular lean mass (LM), as well as favoring trunk fat mass (FM) loss. Moreover, it further decreased percent FM and promoted additional excess WL. After 12 months, exercise not only reduced waist circumference but also helped to lessen the loss of total, trunk, and appendicular LM. Exercise further induced trunk fat mass, percent FM, excess WL, and waist circumference reductions. Moreover, exercise attenuated the loss of total and regional LM.