Endometrial cancer (EC) is associated with significant risk factors such as polycystic ovarian syndrome (PCOS) and sedentary behavior. In our study, we aim to employ machine learning algorithms to investigate the potential molecular processes that underlie their interaction and explore their respective roles in the diagnosis and immunotherapy of EC. The GEO database provides access to microarray data, which was utilized in this study to identify gene expression modules associated with PCOS and sedentary behavior, using weighted gene expression network analysis (WGCNA). Cluego software was then employed to investigate the energy enrichment of shared pathways in both PCOS and sedentary individuals, and differential gene analysis was used to confirm another two databases. The miRNAs-mRNAs controlled network was constructed to verify the pathway. The immune-related factors of the shared pathway in EC were then analyzed. Finally, to validate our findings, we conducted cell experiments using EC cell lines (AN3CA, KLE, Ishikawa, RL95-2, and HEC-1A). We found that increased intracellular aromatic compound anabolism is a common feature of both PCOS and sedentary individuals. We then developed a disease pathway model that was based on the common genetic characteristics of PCOS and sedentary behavior. We utilized pathway typing in EC samples and found a significant survival difference between the two subgroups, with the upregulated expression type exhibiting an immune-hot phenotype. Finally, the experimental results confirmed the expression of the hub gene (NAA15) in EC. The findings of our study suggest that genes related to the intracellular aromatic compound metabolic pathway can be used for immunotherapy of EC.

OBJECTIVE: The study aims to explore the relationship between modifiable lifestyle factors (physical activity, sedentary time, body composition, muscle strength) and mental health, and predict future changes in mental health.
METHODS: A cross-sectional survey was conducted on 133 men (age: 29.03 ± 6.605 years, BMI: 23.58 ± 2.688 kg/m²) to assess baseline body composition, muscle strength, sedentary time, and mental health, with follow-up at 3 months. F-tests were employed to compare the differences in mental health on sedentary time and body composition variables. Spearman correlation analysis was used to examine correlations between variables.
RESULTS: Spearman\'s correlation analysis showed that sedentary time, muscle strength and mental health of the subjects were significantly correlated. BMI, BFM, BFMI, PBF were higher in subjects with ≥ 4 h of sedentary time than in the other two shorter sedentary time groups. Subjects with higher PBF (p = 0.047, η2 = 0.030) and BFM (p = 0.032, η2 = 0.035) had severer depression. Subjects who sat for ≥ 4 h at a time were more severely depressed than those who sat for 2-4 h (p = 0.020). Change in depression was significantly negatively correlated with BMI, BFM, BFMI and PBF. Subjects with higher PBF (p = 0.023, η2 = 0.050) and BFM (p = 0.005, η2 = 0.075) at the baseline had less change in depression.
CONCLUSIONS: A Significant correlation was found between sedentary time, body composition and mental health, and baseline body composition predicted changes in mood three months later.

BACKGROUND: The relationship between fecal incontinence (FI) and type 2 diabetes (T2D) has been well recognized, but a comprehensive understanding of this relationship is lacking, taking into account demographic factors and lifestyle variables.
METHODS: Using a cross-sectional approach, 13,510 adults aged 20 years and older were identified from the 2005-2010 National Health and Nutrition Examination Survey. Multivariate logistic regression models were used to calculate the adjusted odds ratios (ORs), and further subgroup analyses and propensity score analysis were performed to ensure stable results.
RESULTS: Among 13,510 adults, 11.2% had T2D, and 8.8% had FI. We found a strong T2D-FI link (OR: 1.30; 95% CI: 1.09-1.54, P < 0.001), even after adjusting for covariates. Age > 45 was a critical factor, with a stronger T2D-FI association. Sedentary behavior (OR: 1.41; 95% CI: 1.15-1.73) in T2D patients were associated with FI.
CONCLUSIONS: Our study highlights the significant T2D-FI link in US adults, especially in older T2D patients. Lifestyle changes may reduce FI risk. More research is needed for causality and mechanisms.

OBJECTIVE: Fibromyalgia syndrome (FM) is a chronic pain disorder that is ranked as one of the four most common rheumatological diseases in the world. This study aims to investigate the effects of an eight-week mat Pilates and electro-muscle stimulation (EMS) with combined mat Pilates exercises on pain, depression, anxiety, and strength in sedentary women.
METHODS: This study is a single-blind randomized controlled trial. A total of 30 sedentary female patients (Pilates (n = 15), EMS (n = 15)) diagnosed with FM were included in the study. The patients were subjected to Beck Depression (BDIs) and Anxiety Inventories (BAIs); a Fibromyalgia Impact Questionnaire (FIQ); five different Single-Leg Hop Tests (SLHTs); modified push-up (MPU), Handgrip Strength (HGS), Deep Squat (DSQ), V-Sit Flexor, bent-arm hang (BA), sit-up and Biering-Sørensen tests; and anthropometric tests before and after the 8-week exercise program.
RESULTS: The eight weeks of mat Pilates exercises combined with mat Pilates and EMS revealed significant results (p < 0.05) in anthropometric data (abdomen, lower abdomen, hips) (p < 0.05) except for the results of chest circumference measurements (p > 0.05). In addition, there were statistically significant positive results in BDIs, BAIs, FIQs, lower extremity (all SLHTs and DSQ), upper extremity (MPU, HGS, BA), and core (V-SIT, sit-up, Biering-Sørensen test) strength test findings (p < 0.05).
CONCLUSIONS: Combining the mat Pilates exercises with EMS is an effective and reliable method to improve the pain, anxiety, depression, and strength of female patients diagnosed with FM.

UNASSIGNED: To determine if performing regular 3-min bouts of resistance exercise spread over 4 hours in an evening will impact subsequent sleep quantity and quality, sedentary time and physical activity compared with prolonged uninterrupted sitting.
UNASSIGNED: In this randomised crossover trial, participants each completed two 4-hour interventions commencing at approximately 17:00 hours: (1) prolonged sitting and (2) sitting interrupted with 3 min of bodyweight resistance exercise activity breaks every 30 min. On completion, participants returned to a free-living setting. This paper reports secondary outcomes relating to sleep quality and quantity, physical activity and sedentary time which were assessed using wrist-worn ActiGraph GT3+ accelerometers paired with a sleep and wear time diary.
UNASSIGNED: A total of 28 participants (women, n=20), age 25.6±5.6 years, body mass index 29.5±6.7 kg/m2 (mean±SD) provided data for this analysis. Compared with prolonged sitting, regular activity breaks increased mean sleep period time and time spent asleep by 29.3 min (95% CI: 1.3 to 57.2, p=0.040) and 27.7 min (95% CI: 2.3 to 52.4, p=0.033), respectively, on the night of the intervention. There was no significant effect on mean sleep efficiency (mean: 0.2%, 95% CI: -2.0 to 2.4, p=0.857), wake after sleep onset (1.0 min, 95% CI: -9.6 to 11.7, p=0.849) and number of awakenings (0.8, 95% CI: -1.8 to 3.3, p=0.550). Subsequent 24-hour and 48-hour physical activity patterns were not significantly different.
UNASSIGNED: Performing bodyweight resistance exercise activity breaks in the evening has the potential to improve sleep period and total sleep time and does not disrupt other aspects of sleep quality or subsequent 24-hour physical activity. Future research should explore the longer-term impact of evening activity breaks on sleep.
UNASSIGNED: Australian New Zealand Clinical Trials Registry (ACTRN12621000250831).

BACKGROUND: Childhood overweight and obesity is a global concern and has increased in Spain over the last decades. Combinations of lifestyle behaviors (i.e., diet, sleep, and sedentarism) are highly related to weight status. Therefore, this study aimed to identify lifestyle patterns among children from Madrid City, and analyze associations with the prevalence of overweight, obesity, and abdominal obesity, considering socio-economic factors.
METHODS: A cross-sectional analysis was conducted on 4545 children from the ENPIMAD study with data on diet, sleep, anthropometric, and socio-economic variables. K-means cluster analysis was used to identify lifestyle clusters, and logistic regressions were used to examine the associations between socio-economic indicators and cluster membership, and between clusters and weight status.
RESULTS: Findings show three lifestyle clusters (healthy, mixed, and unhealthy), with boys and older children more represented in the unhealthy cluster. Food insecurity and low socio-economic status were associated with unhealthier clusters in boys and girls. Children in unhealthier clusters were more likely to have obesity and abdominal obesity. However, these associations disappeared in girls after controlling for food insecurity.
CONCLUSIONS: These results provide insight into the combination of behaviors and socio-economic factors associated with childhood obesity that may aid in the design of future interventions.

BACKGROUND: This study aimed to examine the association between physical activity one month post discharge and mortality over the first-year post discharge among recently hospitalized older adults with dementia.
METHODS: For this descriptive sub-study, among 42 participants, we obtained physical activity data via accelerometry at one month post discharge and death status via phone call at 6 months and 1 year post discharge. We performed logistic regression.
RESULTS: We found that participants\' amount of time spent in physical activity one month post hospital discharge was not statistically significantly associated with mortality within the first-year post hospital discharge (OR=.996, CI=.992,1.000; p=.053). However, we did observe a strong trend.
CONCLUSIONS: Given the small sample of participants, this trend is salient and should be examined in a larger sample. The results highlight a specific patient profile, recently hospitalized older adults with dementia, that would greatly benefit from physical activity interventions.

UNASSIGNED: During pregnancy, structural and functional changes usually occur in the body, which has various consequences, including lower back pain (LBP) and hypothyroidism. One of the risk factors for these problems is physical inactivity.
UNASSIGNED: This study aimed to investigate the association of back pain and physical inactivity, weight gain, and hypothyroidism in pregnant women.
UNASSIGNED: In this cohort study, 420 pregnant women (26.333 ± 5.820 years old) were included. At first, participants answered this question: \"Do you have any plans for pregnancy in the next month?\" If the answer was yes, further evaluations were performed. The physical activity and pain intensity were measured by the International Physical Activity Questionnaire Short Form (IPAQ-S) and Visual Analogue Scale. Serum TSH was measured by automated chemiluminescence and commercial kits. Measurements were conducted before, the first, second, and third trimester of pregnancy.
UNASSIGNED: Women reporting LBP were less engaged in physical activities and weight gained in the second and third trimesters of pregnancy was significantly higher than pregnant women without LBP (p< 0.05). TSH level and weight gained in pregnant women with low physical activity level was significantly higher than pregnant women with moderate and high physical activity (p< 0.05) (without significant difference in TSH and BMI). The physical inactivity (before: OR: 1.11 95% CI: 0.89 to 1.22; first trimester: OR: 1.09 95% CI: 1.02 to 1.59; second trimester: OR: 0.92 95% CI: 0.87 to 1.31; third trimester: OR: 1.12 95% CI: 1.02 to 1.39), TSH (OR: 0.85 95% CI: 0.57 to 1.29), and weight gain (second trimester: OR: 0.87 95% CI: 0.92 to 1.59; third trimester: OR: 1.44 95% CI: 1.02 to 1.98; p< 0.05) did predict increased pain intensity.
UNASSIGNED: Using health-oriented approaches to increase physical activity and normalize thyroid function and weight gain during pregnancy can have beneficial effects on LBP.

UNASSIGNED: We identified profiles of wake-time movement behaviours (sedentary behaviours, light intensity physical activity and moderate-to-vigorous physical activity) based on accelerometer-derived features among older adults and then examined their association with all-cause mortality.
UNASSIGNED: Data were drawn from a prospective cohort of 3991 Whitehall II accelerometer substudy participants aged 60-83 years in 2012-2013. Daily movement behaviour profiles were identified using k-means cluster analysis based on 13 accelerometer-assessed features characterising total duration, frequency, bout duration, timing and activity intensity distribution of movement behaviour. Cox regression models were used to assess the association between derived profiles and mortality risk.
UNASSIGNED: Over a mean follow-up of 8.1 (SD 1.3) years, a total of 410 deaths were recorded. Five distinct profiles were identified and labelled as \'active\' (healthiest), \'active sitters\', \'light movers\', \'prolonged sitters\', and \'most sedentary\' (most deleterious). In model adjusted for sociodemographic, lifestyle, and health-related factors, compared with the \'active\' profile, \'active sitters\' (HR 1.57, 95% CI 1.01 to 2.44), \'light movers\' (HR 1.75, 95% CI 1.17 to 2.63), \'prolonged sitters\' (HR 1.67, 95% CI 1.11 to 2.51), \'most sedentary\' (HR 3.25, 95% CI 2.10 to 5.02) profiles were all associated with a higher risk of mortality.
UNASSIGNED: Given the threefold higher mortality risk among those with a \'most sedentary\' profile, public health interventions may target this group wherein any improvement in physical activity and sedentary behaviour might be beneficial.

Parent-child patterns in objectively measured movement behaviours were the highlight of this study. A total of 381 families (337 mothers, 256 fathers, 190 daughters, and 191 sons) from 36 randomly selected schools and kindergartens provided valid accelerometer data. Sedentary behaviour and physical activity (PA) were assessed using ActiGraph accelerometers. Spearman\'s rho was used to evaluate parent-child associations, while logistic regression analysis (the backward LR method) was used to recognize factors related to children\'s achievement of PA recommendations. Results indicated that girls engaged more in light PA, while boys showed higher levels of moderate and vigorous PA. Mothers spent less time sitting and more time in light PA compared to fathers, resulting in higher total PA levels. Father-son pairs showed a stronger association in total PA than mother-son pairs. Children aged 6-10 years and those with mothers who engaged in more vigorous PA were more likely to meet PA recommendations compared to younger children and those with less active mothers.