Physical Activity Exposure Research Articles

Exploring the association between lifestyle and cardiovascular health metrics and HPV infection risk: insights from the National Health and Nutrition Examination Survey 2005–2016 data

BackgroundHuman Papillomavirus (HPV) infection has garnered significant attention due to its high prevalence and association with various cancers and other health conditions. Composite lifestyle factors may influence the risk of HPV infection, yet their cumulative impact remains insufficiently explored. This study aims to explore the association between the Life’s Essential 8 (LE8) Score and HPV infection status, highlighting the potential role of lifestyle and health behaviors in HPV infection prevention.MethodsUtilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 2005–2016, we analyzed the health and nutritional statuses of 6,773 participants after excluding those with missing HPV infection status, inability to calculate the LE8 Score, and missing covariate data. The LE8 Score was computed based on eight cardiovascular health metrics, encompassing both health factors (BMI, non-HDL cholesterol, blood pressure, and blood glucose) and health behaviors (physical activity, diet, sleep duration, and nicotine exposure). HPV infection status was determined through vaginal swab specimens analyzed using various Roche assays. Multivariate logistic regression, the restricted cubic splines (RCS) analysis and weighted quantile sum (WQS) regression were employed to assess the association between LE8 Score and HPV infection risk.ResultsOur findings indicate a significant inverse association between the LE8 Score and HPV infection risk. Participants with medium and high LE8 Scores exhibited a 21% and 31% lower risk of HPV infection, respectively, compared to those with low LE8 Scores in multivariate logistic regression models. The analysis also revealed that lifestyle factors, particularly nicotine exposure and blood pressure, significantly contributed to the observed association.ConclusionThe study underscores the importance of healthy lifestyle behaviors in reducing the risk of HPV infection. Public health strategies promoting such behaviors could complement existing HPV prevention measures, potentially lowering the burden of HPV-related diseases. Future research should further investigate the mechanisms underlying this association and the effectiveness of lifestyle interventions in diverse populations.

Dose-response associations between physical activity and mental health among USA adolescents

Abstract Background Adolescent mental health is a critical public health concern. Physical activity has been shown to reduce risk of negative mental health outcomes. However, in adolescents little is known about the dose-response nature of this relationship. This study aims to fill this gap by examining the association between varying levels of self-reported physical activity and the odds of reporting depressive symptoms and poor mental health, among US high school students. Methods This is a cross-sectional study using data from the 2021 Youth Risk Behavior Survey. Physical activity exposure was assessed as students’ self-reported weekly frequency of ≥ 60min moderate-to-vigorous physical activity (MVPA), as well as frequency of participation in muscle-strengthening activities, sports teams, and physical education (PE) classes. For the dose-response analysis three categories were created for each item. Depressive symptoms and poor mental health were measured using established survey items. Multivariate logistic regression risk models were used. Results A total of 8,015 high-school students were included. Depressive symptoms were reported by 43% of students, and 28% reported poor mental health. Moderate doses (1-4 days) of muscle-strengthening activities reduced the odds of depressive symptoms by 23% and the odds of poor mental health by 38% compared to low doses (0 days). Higher reductions were observed for higher doses (5-7 days). Similar results were observed for sports teams (1 vs 0 teams). Moderate doses (1-4 days) of MVPA ≥60min showed a significant reduction in the odds for poor mental health (38%) but not depressive symptoms compared to low doses (0 days). No effect was observed for any dose of PE attendance. Conclusions The findings suggest a dose-response pattern in the association between physical activity and mental health in adolescents. Any increase in physical activity levels among young adults would be valuable in preventing poor mental health. Key messages • A dose-response pattern was observed between self-reported mental health and physical activity exposure in adolescents. • Moderate levels of physical activity significantly reduced the risk of self-reported poor mental health among adolescents.

Association of health behaviors in life’s essential 8 and hypertension in adolescents: a cross-sectional study from the NHANES database

BackgroundHypertension is a common condition during adolescence with increasing prevalence globally, alongside the epidemic of unhealthy lifestyles and obesity. Health behaviors have been shown to be associated with hypertension risk in adults. Life’s essential 8 (LE8), as a comprehensive indicator to evaluate cardiovascular health (CVH), includes 4 health factors and 4 health behaviors. This study aims to evaluate the association between health behaviors defined in LE8 and hypertension among adolescents.MethodsData of this study were extracted from the National Health and Nutrition Examination Surveys (NHANES) 2007–2018. Health behaviors of LE8 including diet, physical activity and tobacco smoke exposure. The outcome was the odd of hypertension in adolescents. The weighted univariate and multivariate logistic regression was unitized to explore the relationship between CVH score and hypertension in adolescents. Subgroup analysis and sensitivity analysis were further conducted to explore the association across different populations.ResultsTotally 3,941 adolescents aged 12–17 years were included, with the mean aged of 14.48 ± 0.04 years. Of whom, 203 (5.15%) had hypertension. After adjusted all covariates, high CVH score was associated with the lower odds of hypertension (OR = 0.32, 95%CI: 0.17–0.61), especially in boys (OR = 0.23, 95%CI: 0.11–0.51) and adolescents with overweight/obesity (OR = 0.24, 95%CI: 0.10–0.56). Sensitivity analysis reported that the association between CVH score and the odds of hypertension was also robust after excluding self-reported hypertension and medication taking (OR = 0.37, 95%CI: 0.18–0.74).ConclusionA high CVH score, indicating a greater adherence of health behaviors, was associated with a reduced odds of hypertension, especially among boys and overweight/obesity adolescents. Large-scale prospective cohort studies are needed to further explore the association between health behaviors defined in LE8 and hypertension among adolescents.

6962 Natural History of Menstrual Pain and Associated Risk Factors in Early Adolescence

Abstract Disclosure: M. Sofia: None. R. Modarelli: None. S. Molsberry: None. S. Denslow: None. D. Zaccaro: None. C. Kamoun: None. N.D. Shaw: None. Background: Primary dysmenorrhea (PD), or menstrual pain of uterine origin without pelvic pathology, affects up to 93% of adolescents and is a leading cause of school and work absenteeism. The theory that PD only occurs when progesterone levels fall in the late-luteal phase, triggering production of uterine prostaglandins, has dominated the literature. However, recent studies identifying PD among girls with anovulatory cycles cast doubt on this theory. We took advantage of an ongoing longitudinal study of healthy early post-menarchal girls to test the hypothesis that ovulation is associated with increased PD and to explore other participant factors associated with PD. Methods: Participants contributed daily urine samples to measure Cr-corrected LH, estrone conjugates, and pregnanediol-3-glucuronide [PdG], completed menstrual diaries, and reported dysmenorrhea symptoms using the 24-item Menstrual Symptom Questionnaire (MSQ) approximately biannually. A cycle was defined as ovulatory if peak PdG >2500 ng/mg Cr. Scores were natural log-transformed and modeled to assess associations with gynecologic age, ovulation, anxiety, depression, and physical activity exposures using generalized estimating equations with a normal distribution and autoregressive covariance structure. Models were adjusted for age at menarche, baseline BMI Z-score, race, ethnicity, maternal age at menarche, parental education and employment, and gynecologic age (ovulation models only). Results: The 43 participants were 12.38 ± 1.06 years old (mean ± SD) with a gynecologic age of 2.99 ± 2.22 months. The majority were non-Hispanic White and of normal weight. Average maternal age at menarche was 12.64 ± 1.09 years. Among parents of participants, most were both at least college-educated and nearly 50% were both employed. Participants completed 155 MSQs (1-9/participant). Dysmenorrhea scores increased over time (scores 1.14x higher for every 1-year increase in gynecologic age, p<0.001). Dysmenorrhea scores were 1.12x higher (p=0.03) if the preceding cycle was ovulatory vs. anovulatory and 1.11x higher if all cycles in the preceding 6 months were ovulatory vs all anovulatory (p=0.11). Gynecologic age remained significant in models with ovulation-based exposures, and maternal age at menarche was inversely associated with dysmenorrhea score (beta -0.08, p=0.04) in the model with gynecologic age as the exposure. Conclusion: In early-postmenarchal girls, dysmenorrhea scores were higher when associated with ovulatory cycles but also increased over time independent of ovulatory status, suggesting a pathophysiologic role for progesterone and other unknown factors. There was no association between age at menarche, BMI, race/ethnicity, and dysmenorrhea scores whereas maternal age at menarche was inversely associated with dysmenorrhea scores. Presentation: 6/1/2024

Role of physical activity and sedentary behavior in venous thromboembolism: a systematic review and dose-response meta-analysis

Increasing studies have investigated the link between physical activity (PA) and sedentary behavior with venous thromboembolism (VTE) but the existing findings are not consistent and the independent relationship is uncertain. This meta-analysis aimed to comprehensively assess the shape of dose-response relationship between PA and sedentary behavior with VTE and further explore whether the relationship is independent after mutual adjustment. We systematically searched PubMed, Embase and Web of Science from inception to August 1, 2024. PA exposures were converted into MET-h/wk. Categorical meta-analyses and a cubic spline model were performed to evaluate the association between PA, sedentary behavior and VTE. Twenty-five articles including 31 studies were included. A curvilinear dose-response relationship between PA and VTE was observed, with steeper gradients even at lower PA levels. After adjustment for sedentary behavior, higher level of PA was independently associated with a reduced VTE risk (OR = 0.83, 95%CI:0.77–0.89). Based on population attributable fraction analyses, 2.37% (95%CI: 1.90-2.85%) of incident VTE could have been prevented if all adults had achieved half the PA minimum recommended level. A linear dose-response relationship between sedentary behavior and VTE risk was found, and there was a 2% higher risk of VTE (OR = 1.02, 95%CI: 1.00-1.03) for 1 h increment of sedentary behavior per day. After adjustment for PA, sedentary behavior was independently associated with an increased VTE risk (OR = 1.19, 95CI%:1.01–1.39). Our analyses demonstrated PA and sedentary time were indeed independently associated with the risk of VTE after mutually adjusting for sedentary time or PA, highlighting a unique perspective on their individual contributions. Further studies assessing the effects of different combinations of PA and sedentary time for assessing joint effects on VTE are needed.

Can incidental physical activity offset the deleterious associations of sedentary behaviour with major adverse cardiovascular events?

Incidental physical activity as part of daily living may offer feasibility advantages over traditional exercise. We examined the joint associations of incidental physical activity and sedentary behaviour with major adverse cardiovascular events (MACE) risk. Analyses included 22,368 non-exercising adults from the UK Biobank accelerometry sub-study (Median age [IQR]: 62.9 [11.6] years; 41.8% male). Physical activity and sedentary behaviour exposures were derived using a machine learning-based intensity and posture classification schema. We assessed the tertile-based joint associations of sedentary behaviour and: a) incidental vigorous (VPA), b) incidental moderate to vigorous (MVPA), c) vigorous intermittent lifestyle physical activity (VILPA; bouts lasting up to 1 minute), and d) moderate to vigorous intermittent lifestyle physical activity (MV-ILPA; bouts lasting up to 3 minutes) with MACE risk. Over an 8.0-year median follow-up, 819 MACE events occurred. Compared to the highest physical activity and lowest sedentary time, high sedentary behaviour (>11.4 hours/day) with low incidental VPA (<2.1 minutes/day) had an HR of 1.34 (95% CI: 0.98, 1.84) and low incidental MVPA (<21.8 minutes/day) had a 1.89 HR (95% CI: 1.42, 2.52) for MACE. Sedentary behaviour was not associated with MACE at medium and high levels of VPA or VILPA. Completing 4.1 minutes/day of VPA or VILPA may offset the MACE risk associated with high sedentary behaviour. Conversely, 31-65 minutes of incidental MVPA or 26-52 minutes of MV-ILPA per day largely attenuated the associations with MACE. Brief intermittent bursts of vigorous incidental physical activity may offset cardiovascular risks from high sedentary behaviour.

Effect of Intranasal Insulin on Olfactory Recovery in Patients with Anosmia .

Olfactory dysfunction, defined as either a complete or partial impairment of smell, is a common condition that may substantially affect a person’s quality of life and is frequently difficult to treat. Physical activity, heredity, nutrition, smoking, head trauma, medical treatments, and virus exposure all influence one’s capacity to smell. Hyposmia or anosmia, or loss of smell, affects 3% to 20% of the population. Intranasal insulin can improve cognitive performance, reduce food intake, and boost olfactory thresholds in healthy individuals. As people age, they are more likely to experience olfactory dysfunction, which may be affected by a variety of reasons, such as acute and chronic sino-nasal illness, upper respiratory infections, toxic chemical exposure, and degenerative diseases. About ten percent of those over 65 develop olfactory impairment, which can range from mild loss to total anosmia. Insulin resistance in the central nervous system has been linked to conditions like type II diabetes, Alzheimer’s disease, obesity, and poor odor identification. Reduced odor perception may contribute to reduced olfactory function in anosmic patients.

Predicting sleep based on physical activity, light exposure, and Heart rate variability data using wearable devices

Objective We aimed to improve the performance of sleep prediction algorithms by increasing the data amount, adding variables reflecting psychological state, and adjusting the data length. Materials and Methods We used ActiGraph GT3X+® and Galaxy Watch Active2™ to collect physical activity and light exposure data. We collected heart rate variability (HRV) data with the Galaxy Watch. We evaluated the performance of sleep prediction algorithms based on different data sources (wearable devices only, sleep diary only, or both), data lengths (1, 2, or 3 days), and analysis methods. We defined the target outcome, ‘good sleep’, as ≥90% sleep efficiency. Results Among 278 participants who denied having sleep disturbance, we used data including 2136 total days and nights from 230 participants. The performance of the sleep prediction algorithms improved with an increased amount of data and added HRV data. The model with the best performance was the extreme gradient boosting model; XGBoost, using both sources combined data with HRV, and 2-day data (accuracy=.85, area under the curve =.80). Conclusions The results show that the performance of the sleep prediction models improved by increasing the data amount and adding HRV data. Further studies targeting insomnia patients and applied researches on non-pharmacological insomnia treatment are needed.

The Impact of Lifestyle and Environmental Factors on Cancer Risk and Prevention

Cancer remains a leading cause of mortality globally, with a multifaceted etiology involving genetic, lifestyle, and environmental factors. This review article examines the impact of lifestyle and environmental factors on cancer risk and prevention, focusing on dietary habits, physical activity, tobacco use, alcohol consumption, and environmental exposures such as pollution, occupational hazards, and radiation. Lifestyle factors such as a balanced diet, regular exercise, and smoking cessation are shown to significantly influence cancer risk, while environmental factors like pollution and radiation exposure also play critical roles in cancer development. The review details the mechanisms through which these factors contribute to cancer, including DNA damage, inflammation, and hormonal regulation. Public health initiatives, policy regulations, and screening strategies are discussed as essential components of effective cancer prevention. Methodologically, this review synthesizes recent research findings and current evidence to provide a comprehensive overview of how lifestyle and environmental modifications can be leveraged to reduce cancer risk. Through this analysis, the article aims to offer valuable insights into enhancing cancer prevention strategies and improving public health outcomes. Keywords: Cancer Prevention, Lifestyle Factors, Environmental Exposure, Public Health, Risk Reduction

Physiological Features of the Response of the Respiratory and Circulation Systems to Physical Load in Students Engaged in Winter Football

Adaptive changes in the circulatory and respiratory systems under the influence of winter football training were studied. 50 men aged 21-25 years — 3rd-4th year students — were examined: control group — 25 people specializing in “soccer” (S), main group — 25 people studying in the specialization “winter football” (WF). The examination was performed twice — before and after physical activity. Running (average pace, 180 steps/min) for 15 minutes was used as dosed physical activity. The loads were performed either indoors at a temperature of plus 22–24°C, or in winter outside at a temperature of minus 18–20°C. Indoor and outdoor surveys were carried out on different days. Assessment of peripheral blood flow in the lower extremities was performed using rheography; to assess the main blood flow in the femoral artery, Doppler ultrasound was used. The study of external respiration functions was carried out using pneumotachography. The lactate concentration in capillary blood was determined photometrically. It has been shown that physical activity performed in the cold in adapted athletes (WF group) promotes increased integration between the respiratory and circulatory systems, ensuring the formation of a functional system characterized by stronger connections for optimal adaptation to the combined effects of physical activity and cold. In athletes training indoors (group S) under conditions of a combination of physical activity and cold exposure, on the contrary, desynchronization of the interaction of the respiratory and circulatory systems occurs, which leads to a decrease in adaptive reserves. Thus, sports training in winter football triggers phenotypic adaptive changes and creates a number of physiological mechanisms that promote increased integration between the respiratory and circulatory systems, providing optimal adaptation to the combined effects of physical activity and cold. The obtained facts will be useful for the development of special training programs aimed at increasing the functional reserve of the cardiorespiratory system of athletes training in cold conditions.

The Ecology of Human Sleep (EcoSleep) Cohort Study: Protocol for a longitudinal repeated measurement burst design study to assess the relationship between sleep determinants and outcomes under real-world conditions across time of year.

The interplay of daily life factors, including mood, physical activity, or light exposure, influences sleep architecture and quality. Laboratory-based studies often isolate these determinants to establish causality, thereby sacrificing ecological validity. Furthermore, little is known about time-of-year changes in sleep and circadian-related variables at high resolution, including the magnitude of individual change across time of year under real-world conditions. The Ecology of Human Sleep (EcoSleep) cohort study will investigate the combined impact of sleep determinants on individuals' daily sleep episodes to elucidate which waking events modify sleep patterns. A second goal is to describe high-resolution individual sleep and circadian-related changes across the year to understand intra- and inter-individual variability. This study is a prospective cohort study with a measurement-burst design. Healthy adults aged 18-35 years (N = 12) will be enrolled for 12 months. Participants will continuously wear actimeters and pendant-attached light loggers. A subgroup will also measure interstitial fluid glucose levels (six paticipants). Every 4 weeks, all participants will undergo three consecutive measurement days of four ecological momentary assessments each day ('bursts') to sample sleep determinants during wake. Participants will also continuously wear temperature loggers (iButtons) during the bursts. Body weight will be captured before and after the bursts in the laboratory. The bursts will be separated by two at-home electroencephalogram recordings each night. Circadian phase and amplitude will be estimated during the bursts from hair follicles, and habitual melatonin onset will be derived through saliva sampling. Environmental parameters (bedroom temperature, humidity, and air pressure) will be recorded continuously.

Associations between leisure-time physical activity and the prevalence and incidence of osteoporosis disease: Cross-sectional and prospective findings from the UK biobank

BackgroundPrevious studies underscore the protective role of physical activity (PA) in bone health, yet the relationship between different PA categories and osteoporosis risk remains less explored. Understanding the relationships helps tailor health recommendations and policies to maximize the effects of preventing osteoporosis. MethodsThe cross-sectional study involves 488,403 UK Biobank participants with heel quantitative ultrasound-estimated bone mineral density (eBMD) data. The longitudinal cohort involves 471,394 UK Biobank participants without initial osteoporosis and with follow-up records. PA exposure categories in our study included sedentary behavior (SB), total PA (TPA), and different category-specific PA including household, leisure, and work PA. The cases of osteoporosis were assessed using the International Classification of Diseases, 10th revision (ICD-10). The linear, logistic, and Cox proportional hazard regression models were used in our study. ResultsIn the cross-sectional study, 15,818 (3.28 %) participants had osteoporosis. TPA levels have a positive correlation with eBMD and a negative correlation with osteoporosis prevalence. Among different categories of PA, higher levels of leisure PA were correlated with increased eBMD and a lower osteoporosis risk (leisure PA: OR: 0.83, 95 % CI: 0.79 to 0.86;). In the longitudinal study, 16,058 (17.6 % male, 82.4 % female) (3.41 %) individuals developed osteoporosis during an average follow-up of 13 years. We observed consistent protective effects of high levels of PA on osteoporosis incidence risk, particularly within the category of leisure PA (TPA: HR: 0.78, 95 % CI: 0.74 to 0.82; leisure PA:HR: 0.83, 95 % CI: 0.80 to 0.87). Such associations are independent of genetic predisposition, with no evidence of gene-PA interactions, and keep steady among individuals using drugs affecting bone-density. Moreover, among different leisure PA items, strenuous sports, other exercises, and walking for pleasure conferred a substantial protective effect against osteoporosis. Additionally, non-elderly individuals and males exhibited lower osteoporosis risk from PA. ConclusionThis study highlights activity categories differently associated with the risk of osteoporosis. Adherence to frequent leisure PA may have a protective effect against osteoporosis. Such associations are independent of genetic susceptibility to osteoporosis and keep steady among individuals using drugs affecting bone-density. This highlights that leisure PA could be suggested as a more effective intervention in the primary prevention of osteoporosis.

Prospective associations of maternal cardiometabolic health with children cardiometabolic health at ages 3 to 6 years.

Maternal cardiometabolic health (MCMH) may have critical effects on offspring lifetime CMH, whereas evidence on the relationship between MCMH during pregnancy and children CMH (CCMH) at ages 3∼6 years remains unknown. The study included 1478 mother-child dyads from the Shanghai Maternal-Child Pairs Cohort study. MCMH was examined at a mean of 27.8 (24-36) weeks' gestation based on 8 metrics of 'Life Essential 8' framework involving pre-pregnancy body mass index, total cholesterol, glucose level, blood pressure, physical activity, sleep, diet quality, and nicotine exposure. CCMH was examined at the age of 3 to 6 based on 5 metrics including body mass index, physical activity, sleep health, diet quality, and nicotine exposure. To validate the robustness of main analysis, 499 children were selected to reevaluate CCMH by six metrics (adding blood pressure) for sensitivity analysis. Among 1478 mother-child dyads, the mean (SD) MCMH during pregnancy and CCMH scores were 67.07 (SD 8.82) and 73.80 (SD 10.75), respectively. After adjusting important confounders, each 10 points increase in (more favorable) MCMH score was significantly associated with a higher CCMH score (β: 0.85, [95% confidence interval (CI): 0.22, 1.47]). Subgroup analysis showed similar results in girls but not in boys. For cardiometabolic risks factors in children, the risk of overweight/obesity and hypertension in children decreased with increased MCMH score (overweight/obesity, Relative Risks [RRs]: 0.98, 95%CI: [0.96, 0.99]); hypertension, RRs: 0.66, 95%CI: [0.47, 0.92]). Sensitivity analysis showed similar result. Better MCMH in pregnancy was associated with better CCMH at ages 3∼6 years.

Cardiovascular disease risk: it is complicated, but race and ethnicity are key, a Bayesian network analysis.

Cardiovascular diseases are the leading cause of morbidity and mortality in the United States. Despite the complexity of cardiovascular disease etiology, we do not fully comprehend the interactions between non-modifiable factors (e.g., age, sex, and race) and modifiable risk factors (e.g., health behaviors and occupational exposures). We examined proximal and distal drivers of cardiovascular disease and elucidated the interactions between modifiable and non-modifiable risk factors. We used a machine learning approach on four cohorts (2005-2012) of the National Health and Nutrition Examination Survey data to examine the effects of risk factors on cardiovascular risk quantified by the Framingham Risk Score (FRS) and the Pooled Cohort Equations (PCE). We estimated a network of risk factors, computed their strength centrality, closeness, and betweenness centrality, and computed a Bayesian network embodied in a directed acyclic graph. In addition to traditional factors such as body mass index and physical activity, race and ethnicity and exposure to heavy metals are the most adjacent drivers of PCE. In addition to the factors directly affecting PCE, sleep complaints had an immediate adverse effect on FRS. Exposure to heavy metals is the link between race and ethnicity and FRS. Heavy metal exposures and race/ethnicity have similar proximal effects on cardiovascular disease risk as traditional clinical and lifestyle risk factors, such as physical activity and body mass. Our findings support the inclusion of diverse racial and ethnic groups in all cardiovascular research and the consideration of the social environment in clinical decision-making.

The association between sleep duration and cardiometabolic risk among children and adolescents in the United States (US): A NHANES study.

This work aims to assess the association of sleep duration with cardiometabolic risk (adiposity, blood pressure, lipids, albuminuria and A1C) and to investigate lifestyle factors (physical activity, light exposure, caffeine consumption and sugar consumption) associated with sleep duration in children. A nationally representative sample of 3907 children ages 6-17 years enrolled in NHANES from 2011 to 2014 was included in this cross-sectional study. Sleep duration was defined as the daily average time spent sleeping over 7days as measured by a physical activity monitor (PAM). Participants without valid sleep data for ≥95% of the study were excluded. Regression models were adjusted for age, sex, race, body mass index (BMI) Z score, physical activity and light exposure. In adjusted regression models, longer sleep duration was associated with lower systolic blood pressure index (β = -3.63*10-5, 95% CI -6.99*10-5, -2.78*10-6, p = 0.035) and BMI Z score (β = -0.001, 95% CI -0.001, 0.000, p = 0.002). In logistic regression models, longer sleep duration was associated with lower odds of obesity (OR = 0.998, 95% CI 0.997, 0.999, p < 0.001) and overweight status (OR = 0.998, 95% CI 0.997, 0.999, p = 0.004). Greater light exposure (β = 6.64*10-5, 95% CI 3.50*10-5, 9.69*10-5, p < 0.001) and physical activity (β = 0.005, 95% CI 0.004, 0.006, p < 0.001) were associated with longer sleep. Longer sleep duration was associated with lower blood pressure and adiposity measures in children. Improving sleep quality by increasing physical activity and light exposure in childhood may decrease the lifetime risk of cardiometabolic disease.

Exploring the Causal Relationship Between Modifiable Exposures and Diabetes Mellitus: A Two-Sample Mendelian Randomization Analysis.

Background Observational studies link lifestyle factors to diabetes, but confounding limits causal inference. This study employed Mendelian randomization (MR) to investigate the potential causal effects of major dietary, obesity, smoking, and physical activity exposures on diabetes risk. Methods A two-sample MR framework integrated FinnGen and United Kingdom Biobank (UKB) data. Genetic instruments for diet (fruits, vegetables, cheese), smoking (initiation, intensity, maternal), body mass index (BMI), and physical activity came from various consortia (n=64, 949-632, 802). Associations with diabetes odds were assessed using inverse-variance weighted analysis. Results Fruit and cheese intake and physical activity per standard deviation increase causally reduced diabetes risk in both cohorts. Conversely, smoking initiation, maternal smoking around birth, and BMI per standard deviation increase causally increased diabetes risk in both cohorts. Coffee increased diabetes risk only in FinnGen, whereas smoking intensity increased diabetes risk only in UKB. Conclusion This study provides robust evidence that modifiable lifestyle factors may have causal effects on diabetes risk. Fruit, cheese, and physical activity may protect against diabetes, whereas smoking, maternal smoking, and higher BMI appear to increase risk. Findings support public health interventions targeting diet, physical activity, smoking cessation, and healthy weight to combat the global diabetes epidemic.

Social Determinants of Cardiovascular Risk Factors Among Asian American Subgroups.

Social determinants of health (SDOH) play a significant role in the development of cardiovascular risk factors. We investigated SDOH associations with cardiovascular risk factors among Asian American subgroups. We utilized the National Health Interview Survey, a nationally representative survey of US adults, years 2013 to 2018. SDOH variables were categorized into economic stability, neighborhood and social cohesion, food security, education, and health care utilization. SDOH score was created by categorizing 27 SDOH variables as 0 (favorable) or 1 (unfavorable). Self-reported cardiovascular risk factors included diabetes, high cholesterol, high blood pressure, obesity, insufficient physical activity, suboptimal sleep, and nicotine exposure. Among 6395 Asian adults aged ≥18 years, 22.1% self-identified as Filipino, 21.6% as Asian Indian, 21.0% as Chinese, and 35.3% as other Asian. From multivariable-adjusted logistic regression models, each SD increment of SDOH score was associated with higher odds of diabetes among Chinese (odds ratio [OR], 1.45; 95% CI, 1.04-2.03) and Filipino (OR, 1.24; 95% CI, 1.02-1.51) adults; high blood pressure among Filipino adults (OR, 1.28; 95% CI, 1.03-1.60); insufficient physical activity among Asian Indian (OR, 1.42; 95% CI, 1.22-1.65), Chinese (OR, 1.58; 95% CI, 1.33-1.88), and Filipino (OR, 1.24; 95% CI, 1.06-1.46) adults; suboptimal sleep among Asian Indian adults (OR, 1.20; 95% CI, 1.01-1.42); and nicotine exposure among Chinese (OR, 1.56; 95% CI, 1.15-2.11) and Filipino (OR, 1.50; 95% CI, 1.14-1.97) adults. Unfavorable SDOH are associated with higher odds of cardiovascular risk factors in Asian American subgroups. Culturally specific interventions addressing SDOH may help improve cardiovascular health among Asian Americans.

A Study to Determine the Prevalence, Risk Factors and Perception of Overweight and Obesity by Parent and Adolescent and Evaluate the Effectiveness of a School-Based Intervention Program on BMI, Body Fat Composition and Selected Health-Related Behaviour Patterns among Adolescents in Kanyakumari District

Adolescents are increasingly susceptible to obesity, and thus at risk of later non-communicable diseases, due to changes in food choices, physical activity levels and exposure to an obese environment. This review aimed to synthesize the literature investigating the effectiveness of health education interventions delivered in school settings to prevent overweight and obesity and/ or reduce BMI in adolescents, and to explore the key features of effectiveness.

The effect of breaking sitting time with physical activity breaks on cognitive performance in young people with cerebral palsy: an exposure response cross-over feasibility design

Abstract Objectives To assess the feasibility of methods and estimate the potential effect of interrupting sedentary behaviour, with intermittent or continuous physical activity breaks, on cognitive performance in young people with Cerebral Palsy. Methods A randomised three-arm exposure response cross-over design with process evaluation. Participants were recruited throughout the Thames Valley, UK between 01/11/2018 to 31/03/2020. The three 2 h activity exposure visits included: (i) sitting only (controls), (ii) sitting plus 20 min of moderate-to-vigorous activity burst, or (iii) 4×5 min of moderate-to-vigorous activity bursts, during a 2.5 h sedentary session. Measures of feasibility were sought. Cognitive performance outcomes (using the Eriksen Flanker task and Forward and Backward Digit Span) were delivered before and after the 2 h testing period. Results 36 participants were randomised (age 13.2±2.7, Gross-Motor Functional Classification System 1–3). Study retention was 83 % across all three interventions and overall missing data for measures was 4 %. A small intervention effect was found in reaction time in the 4×5 min physical activity exposure session compared to the sedentary control condition (0.42; 95 % CI 0.40 to 0.79). There were two research-related minor adverse effects, an allergic reaction to the FreeStyle Libre and feeling faint and vomiting after consumption of glucose solution. Both events were resolved and participants continued with the study. Conclusions The study design and intervention implementing short bursts of physical activity was feasible and indicated a potential effect on reaction time as a measure of cognitive performance in young people with cerebral palsy.

Abstract 18: Associations of Accelerometer and Questionnaire Measured Physical Activity With Incident Cardiovascular Events in Older Multiethnic Women

Purpose: Self-report misclassifies physical activity (PA) in older adults when compared to accelerometer measures of PA. Few studies have evaluated whether associations with CVD differ between accelerometer-measured and self-reported PA. Methods: We followed 5,719 women (mean age 79 years; 49.8% white, 33.3% black, 16.9% Hispanic) for incident adjudicated CVD (first myocardial infarction, stroke, or heart failure) in the Objective PA and Cardiovascular Health Study. Vector magnitude counts/15 sec epoch from a hip worn (2012-2014) ActiGraph GT3X+ accelerometer were used to define light PA (19-518 counts/15 sec) and moderate-to-vigorous (MVPA; ≥519). Self-reported light PA and MVPA were assessed with the CHAMPS questionnaire. Cox regression was used to estimate hazard ratios (HR) and 95% confidence intervals (CI) controlling for age, race-ethnicity, education, smoking, number of comorbidities, self-rated health, SF36 physical function score, and accelerometer wear time. Harrell’s c-statistic estimated discrimination of CVD event risk for models with accelerometer versus questionnaire PA exposure measures. Results: Mean min/d in PA determined with the accelerometer and questionnaire were 288.4 and 54.3 for light PA, and 51.3 and 32.1 for MVPA. Age-adjusted Spearman correlations were r = 0.13 for light PA and r = 0.29 for MVPA. There were 862 incident CVD events through February 2023 (follow-up mean 7.5 years). HRs (95% CIs) per 30 min/d increment for accelerometer vs questionnaire were 0.95 (0.92, 0.98) vs 0.98 (0.92, 1.02) for light PA, and were 0.82 (0.76, 0.89) vs 0.99 (0.98, 1.00) for MVPA. C-statistics showed similar discrimination of CVD event risk for accelerometer (c = 0.70) vs questionnaire (c = 0.69) models when either light PA or MVPA was the exposure. Associations across tertiles (T1 = ref) for accelerometer PA were 0.92 (0.79, 0.99), 0.78 (0.65, 0.94) for light and 0.76 (0.64, 0.89), 0.58 (0.48, 0.71) for MVPA; and for questionnaire PA were 0.89 (0.75, 1.05), 0.91 (0.77, 1.08) for light and 0.75 (0.64, 1.08), 0.77 (0.65, 0.92) for MVPA. Associations for accelerometer- and questionnaire-measured PA were consistent when stratified by race-ethnicity (white, black, Hispanic) and age (&lt;80 vs ≥80 years). Conclusion: In this study, accelerometers captured greater amounts of daily light PA and MVPA than did questionnaire assessment in older ambulatory women. Inverse associations for light PA and MVPA with incident CVD were stronger and achieved statistical significance when measured by accelerometer as compared to questionnaire assessment where associations were generally weaker and nonsignificant. The modest correlations between accelerometer and questionnaire PA suggest that accelerometers are capturing different aspects of cardiovascular health-promoting movement in older women that are not captured in a widely used questionnaire designed to assess PA in older adults.