Screening for social determinants of health among populations at risk for MASLD: a scoping review.

Background: Social determinants of health (SDoH) have been associated with disparate outcomes among those with metabolic dysfunction-associated steatotic liver disease (MASLD) and its risk factors. To address SDoH among this population, real-time SDoH screening in clinical settings is required, yet optimal screening methods are unclear. We performed a scoping review to describe the current literature on SDoH screening conducted in the clinical setting among individuals with MASLD and MASLD risk factors. Methods: Through a systematic literature search of MEDLINE, Embase, and CINAHL Complete databases through 7/2023, we identified studies with clinic-based SDoH screening among individuals with or at risk for MASLD that reported pertinent clinical outcomes including change in MASLD risk factors like diabetes and hypertension. Results: Ten studies (8 manuscripts, 2 abstracts) met inclusion criteria involving 148,151 patients: 89,408 with diabetes and 25,539 with hypertension. Screening was primarily completed in primary care clinics, and a variety of screening tools were used. The most commonly collected SDoH were financial stability, healthcare access, food insecurity and transportation. Associations between clinical outcomes and SDoH varied; overall, higher SDoH burden was associated with poorer outcomes including elevated blood pressure and hemoglobin A1c. Conclusion: Despite numerous epidemiologic studies showing associations between clinical outcomes and SDoH, and guidelines recommending SDoH screening, few studies describe in-clinic SDoH screening among individuals with MASLD risk factors and none among patients with MASLD. Future research should prioritize real-time, comprehensive assessments of SDoH, particularly among patients at risk for and with MASLD, to mitigate disease progression and reduce MASLD health disparities.

Antihypertensive Medication Regimens Used by US Adults With Hypertension and the Potential for Fixed-Dose Combination Products: The National Health and Nutrition Examination Surveys 2015 to 2020.

Background Fixed-dose combination (FDC) antihypertensive products improve blood pressure control and adherence among patients with hypertension. It is unknown to what degree commercially available FDC products meet the current hypertension management prescription patterns in the United States. Methods and Results This cross-sectional analysis of the National Health and Nutrition Examination Surveys 2015 to March 2020 included participants with hypertension taking ≥2 antihypertensive medications (N=2451). After constructing each participant's regimen according to antihypertensive classes used, we estimated the extent to which the 7 class-level FDC regimens available in the United States as of January 2023 would match the regimens used. Among a weighted population of 34.1 million US adults (mean age, 66.0 years; 52.8% women; 69.1% non-Hispanic White race and ethnicity), the proportions using 2, 3, 4, and ≥5 antihypertensive classes were 60.6%, 28.2%, 9.1%, and 1.6%, respectively. The 7 FDC regimens were among 189 total regimens used (3.7%), and 39.2% of the population used one of the FDC regimens (95% CI, 35.5%-43.0%; 13.4 million US adults); 60.8% of the population (95% CI, 57.0%-64.5%; 20.7 million US adults) were using a regimen not available as a class-equivalent FDC product. Conclusions Three in 5 US adults with hypertension taking ≥2 antihypertensive classes are using a regimen that is not commercially available as a class-equivalent FDC product as of January 2023. To maximize the potential benefit of FDCs to improve medication adherence (and thus blood pressure control) among patients taking multiple antihypertensive medications, use of FDC-compatible regimens and improvements in the product landscape are needed.

Comparative Safety and Effectiveness of Roux-en-Y Gastric Bypass and Sleeve Gastrectomy for Weight Loss and Type 2 Diabetes Across Race and Ethnicity in the PCORnet Bariatric Study Cohort.

Importance: Bariatric surgery is the most effective treatment for severe obesity; yet it is unclear whether the long-term safety and comparative effectiveness of these operations differ across racial and ethnic groups. Objective: To compare outcomes of Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG) across racial and ethnic groups in the National Patient-Centered Clinical Research Network (PCORnet) Bariatric Study. Design, Setting, and Participants: This was a retrospective, observational, comparative effectiveness cohort study that comprised 25 health care systems in the PCORnet Bariatric Study. Patients were adults and adolescents aged 12 to 79 years who underwent a primary (first nonrevisional) RYGB or SG operation between January 1, 2005, and September 30, 2015, at participating health systems. Patient race and ethnicity included Black, Hispanic, White, other, and unrecorded. Data were analyzed from July 1, 2021, to January 17, 2022. Exposure: RYGB or SG. Outcomes: Percentage total weight loss (%TWL); type 2 diabetes remission, relapse, and change in hemoglobin A1c (HbA1c) level; and postsurgical safety and utilization outcomes (operations, interventions, revisions/conversions, endoscopy, hospitalizations, mortality, 30-day major adverse events) at 1, 3, and 5 years after surgery. Results: A total of 36 871 patients (mean [SE] age, 45.0 [11.7] years; 29 746 female patients [81%]) were included in the weight analysis. Patients identified with the following race and ethnic categories: 6891 Black (19%), 8756 Hispanic (24%), 19 645 White (53%), 826 other (2%), and 783 unrecorded (2%). Weight loss and mean reductions in HbA1c level were larger for RYGB than SG in all years for Black, Hispanic, and White patients (difference in 5-year weight loss: Black, -7.6%; 95% CI, -8.0 to -7.1; P < .001; Hispanic, -6.2%; 95% CI, -6.6 to -5.9; P < .001; White, -5.9%; 95% CI, -6.3 to -5.7; P < .001; difference in change in year 5 HbA1c level: Black, -0.29; 95% CI, -0.51 to -0.08; P = .009; Hispanic, -0.45; 95% CI, -0.61 to -0.29; P < .001; and White, -0.25; 95% CI, -0.40 to -0.11; P = .001.) The magnitude of these differences was small among racial and ethnic groups (1%-3% of %TWL). Black and Hispanic patients had higher risk of hospitalization when they had RYGB compared with SG (hazard ratio [HR], 1.45; 95% CI, 1.17-1.79; P = .001 and 1.48; 95% CI, 1.22-1.79; P < .001, respectively). Hispanic patients had greater risk of all-cause mortality (HR, 2.41; 95% CI, 1.24-4.70; P = .01) and higher odds of a 30-day major adverse event (odds ratio, 1.92; 95% CI, 1.38-2.68; P < .001) for RYGB compared with SG. There was no interaction between race and ethnicity and operation type for diabetes remission and relapse. Conclusions and Relevance: Variability of the comparative effectiveness of operations for %TWL and HbA1c level across race and ethnicity was clinically small; however, differences in safety and utilization outcomes were clinically and statistically significant for Black and Hispanic patients who had RYGB compared with SG. These findings can inform shared decision-making regarding bariatric operation choice for different racial and ethnic groups of patients.

The Impact of a Yearlong Diabetes Prevention Program-Based Lifestyle Intervention on Cardiovascular Health Metrics.

INTRODUCTION: The American Heart Association created "Life's Simple Seven" metrics to estimate progress toward improving US cardiovascular health in a standardized manner. Given the widespread use of federally funded Diabetes Prevention Program (DPP)-based lifestyle interventions such as the Group Lifestyle Balance (DPP-GLB), evaluation of change in health metrics within such a program is of national interest. This study examined change in cardiovascular health metric scores during the course of a yearlong DPP-GLB intervention. METHODS: Data were combined from 2 similar randomized trials offering a community based DPP-GLB lifestyle intervention to overweight/obese individuals with prediabetes and/or metabolic syndrome. Pre/post lifestyle intervention participation changes in 5 of the 7 cardiovascular health metrics were examined at 6 and 12 months (BMI, blood pressure, total cholesterol, fasting plasma glucose, physical activity). Smoking was rare and diet was not measured. RESULTS: Among 305 participants with complete data (81.8% of 373 eligible adults), significant improvements were demonstrated in all 5 risk factors measured continuously at 6 and 12 months. There were significant positive shifts in the "ideal" and "total" metric scores at both time points. Also noted were beneficial shifts in the proportion of participants across categories for BMI, activity, and blood pressure. CONCLUSION: AHA-metrics could have clinical utility in estimating an individual's cardiovascular health status and in capturing improvement in cardiometabolic/behavioral risk factors resulting from participation in a community-based translation of the DPP lifestyle intervention.

Patient Recruitment Into a Multicenter Clinical Cohort Linking Electronic Health Records From 5 Health Systems: Cross-sectional Analysis.

BACKGROUND: There is growing interest in identifying and recruiting research participants from health systems using electronic health records (EHRs). However, few studies have described the practical aspects of the recruitment process or compared electronic recruitment methods to in-person recruitment, particularly across health systems. OBJECTIVE: The objective of this study was to describe the steps and efficiency of the recruitment process and participant characteristics by recruitment strategy. METHODS: EHR-based eligibility criteria included being an adult patient engaged in outpatient primary or bariatric surgery care at one of 5 health systems in the PaTH Clinical Research Network and having ≥2 weight measurements and 1 height measurement recorded in their EHR within the last 5 years. Recruitment strategies varied by site and included one or more of the following methods: (1) in-person recruitment by study staff from clinical sites, (2) US postal mail recruitment letters, (3) secure email, and (4) direct EHR recruitment through secure patient web portals. We used descriptive statistics to evaluate participant characteristics and proportion of patients recruited (ie, efficiency) by modality. RESULTS: The total number of eligible patients from the 5 health systems was 5,051,187. Of these, 40,048 (0.8%) were invited to enter an EHR-based cohort study and 1085 were enrolled. Recruitment efficiency was highest for in-person recruitment (33.5%), followed by electronic messaging (2.9%), including email (2.9%) and EHR patient portal messages (2.9%). Overall, 779 (65.7%) patients were enrolled through electronic messaging, which also showed greater rates of recruitment of Black patients compared with the other strategies. CONCLUSIONS: We recruited a total of 1085 patients from primary care and bariatric surgery settings using 4 recruitment strategies. The recruitment efficiency was 2.9% for email and EHR patient portals, with the majority of participants recruited electronically. This study can inform the design of future research studies using EHR-based recruitment.

Lifestyle Habits Associated with Weight Regain After Intentional Loss in Primary Care Patients Participating in a Randomized Trial.

BACKGROUND: Though long-term weight loss maintenance is the treatment goal for obesity, weight regain is typical and few studies have evaluated lifestyle habits associated with weight regain. OBJECTIVE: To identify dietary and physical activity habits associated with 6- and 24-month weight regain among participants in a weight loss maintenance clinical trial. DESIGN: Secondary analysis of randomized clinical trial data. PARTICIPANTS: Adult primary care patients with recent, intentional weight loss of at least 5%. MAIN MEASURES: Lifestyle habits included consumption of low-fat foods, fish, desserts, sugary beverages, fruits, and vegetables and eating at restaurants from the Connor Diet Habit Survey; moderate-vigorous physical activity by self-report; steps recorded by a pedometer; and sedentary behavior by self-report. The outcome variable was weight change at 6 and 24 months. Linear regression models estimated adjusted associations between changes in weight and changes in dietary and physical activity habits. KEY RESULTS: Overall, participants (mean (SD): 53.4 (12.2) years old; 26% male; 88% white) maintained weight loss at 6 months (n = 178, mean (SD): - 0.02 (5.70)% change) but began to regain weight by 24 months (n = 157, mean (SD): 4.22 (9.15)% increase). When considered all together, more eating at restaurants, reduced fish consumption, and less physical activity were most consistently associated with weight regain in fully adjusted models at both 6 and 24 months of follow-up. In addition, more sedentary behavior was associated with weight regain at 6 months while reduced consumption of low-fat foods, and more desserts and sugary beverages were associated with weight regain at 24 months. CONCLUSIONS: Consuming less fish, fewer steps per day, and more frequent restaurant eating were most consistently associated with weight regain in primary care patients. Primary care providers may consider addressing specific lifestyle behaviors when counseling patients after successful weight loss. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01946191.

The SMARTER Trial: Design of a trial testing tailored mHealth feedback to impact self-monitoring of diet, physical activity, and weight.

BACKGROUND: Self-monitoring food intake and physical activity (PA) is positively related to weight loss and the addition of feedback (FB) messages has been shown to reinforce behavior change. Moreover, the more immediate the delivery of reinforcing FB messages, the more likely they will promote the desired behaviors. PURPOSE: Describe design and rationale of SMARTER, a National Institute of Heart, Lung, and Blood (NHLBI)-sponsored randomized, controlled trial, which compares the differential efficacy of two weight loss treatments among 530 adults, ages 18 and older. METHODS: Single-site, 2-group design trial with subjects randomized 1:1 to either: 1) self-monitoring (SM), where participants self-monitor diet, PA, and weight using a commercial smartphone application (app); or 2) SM + FB, where participants self-monitor and receive real-time, tailored feedback (FB) as pop-up messages up to 3 times/day for 12 months. Daily FB messages address diet and PA behaviors and a weekly FB message addresses self-weighing. We hypothesize that subjects assigned to SM + FB will show greater weight loss at 6 and 12 months and greater sustained engagement in the program than the SM group, measured by adherence to the study's lifestyle and SM protocol. We will explore temporal relationships of the frequency, timing, and type of FB delivered and subsequent lifestyle behaviors through examination of serially collected real-time SM (diet, PA, weight) data over 12 months. CONCLUSIONS: If efficacious, this fully scalable intervention could be efficiently translated and disseminated to reach large numbers of individuals through commercial apps at lower cost than existing in-person weight loss programs.

Understanding Primary Care Patients' Self-weighing Habits: Cohort Analysis from the PaTH Clinical Data Research Network.

BACKGROUND: Greater than 60% of adults have overweight or obesity. Self-weighing is an effective weight loss and weight maintenance tool. However, little is known about self-weighing habits among the primary care patient population. Our objective was to examine the frequency of patient-reported self-weighing, and to evaluate the associations of self-weighing with demographic characteristics and self-monitoring behaviors. METHODS: We conducted an analysis of survey data collected as part of the PaTH Clinical Data Research Network, which recruited a cohort of 1,021 primary care patients at 4 academic medical centers. Patients of all body mass index (BMI) categories were included. RESULTS: Response rate of 6-month survey was 727 (71%). The mean age was 56 years, and most were female (68%), White (78%), college graduates (66%), and employed/retired (85%). The mean BMI was 30.2 kg/m2, 80% of participants had a BMI â‰§ 25 kg/m2. Of patients with BMI â‰§ 25 kg/m2, 35% of participants self-weighed weekly and 23% daily. Participants who reported self-weighing at least weekly were more likely to be older (59 vs 54 years, p < 0.01), married (p = 0.01), college graduates (p = 0.03), White (p < 0.01), and employed vs disabled/unemployed (p < 0.01). Patients who self-weighed daily had a lower BMI (29 kg/m2 vs 31 kg/m2, p = 0.04). Patients who tracked exercise or food intake were more likely to self-weigh daily (p < 0.01), as were patients wanting to lose or maintain weight (p < 0.01). CONCLUSIONS: Despite its potential for primary and secondary obesity prevention, only 35% of primary care patients with overweight or obesity engage in self-weighing weekly and less than a quarter (23%) self-weigh daily. Socioeconomic status appears to be a factor influencing regular self-weighing in this population, potentially contributing to greater health disparities in obesity rates. Patients who self-weighed daily had a lower BMI, suggesting that it may play a role in primary prevention of obesity. More work is needed to explore self-weighing among patients.

The use of mHealth to deliver tailored messages reduces reported energy and fat intake.

BACKGROUND: Evidence supports the role of feedback in reinforcing motivation for behavior change. Feedback that provides reinforcement has the potential to increase dietary self-monitoring and enhance attainment of recommended dietary intake. OBJECTIVE: The aim of this study was to examine the impact of daily feedback (DFB) messages, delivered remotely, on changes in dietary intake. METHODS: This was a secondary analysis of the Self- Monitoring And Recording using Technology (SMART) Trial, a single-center, 24-month randomized clinical trial of behavioral treatment for weight loss. Participants included 210 obese adults (mean body mass index, 34.0 kg/m²) who were randomized to either a paper diary (PD), personal digital assistant (PDA), or PDA plus daily tailored feedback messages (PDA + FB). To determine the role of daily tailored feedback in dietary intake, we compared the self-monitoring with DFB group (DFB group; n = 70) with the self-monitoring without DFB group (no-DFB group, n = 140). All participants received a standard behavioral intervention for weight loss. Self-reported changes in dietary intake were compared between the DFB and no-DFB groups and were measured at baseline and at 6, 12, 18, and 24 months. Linear mixed modeling was used to examine percentage changes in dietary intake from baseline. RESULTS: Compared with the no-DFB group, the DFB group achieved a larger reduction in energy (-22.8% vs -14.0%; P = .02) and saturated fat (-11.3% vs -0.5%; P = .03) intake and a trend toward a greater decrease in total fat intake (-10.4% vs -4.7%; P = .09). There were significant improvements over time in carbohydrate intake and total fat intake for both groups (P values < .05). CONCLUSION: Daily tailored feedback messages designed to target energy and fat intake and delivered remotely in real time using mobile devices may play an important role in the reduction of energy and fat intake.

A randomized controlled pilot trial of the functional assessment screening tablet to engage patients at the point of care.

BACKGROUND: Healthcare providers play an important role in encouraging healthy behaviors and improving health-related quality of life (HRQoL). They are most effective when they partner with informed, engaged patients. OBJECTIVE: To examine the impact of a new health-information technology intervention (FAST-Feedback) that provides patients with immediate, personalized, guideline-based feedback regarding tobacco use, physical activity, and HRQoL, and encourages patients to initiate discussions regarding these topics with their primary care physician. DESIGN: A pilot, randomized controlled trial clustered by resident physician, with patients as the unit of analysis. PARTICIPANTS: Resident physicians and their out-patients in a single academic health center between May and October 2011. INTERVENTION: Patients received (intervention) or did not receive (control) FAST-Feedback prior to the clinical encounter. MAIN OUTCOME MEASURES: Primary outcomes were patient reports of initiating any discussions regarding tobacco use, physical activity, and HRQoL. Subgroup analyses examined patient reports of discussions regarding tobacco use, physical activity, and HRQoL, respectively. KEY RESULTS: Thirty of the 36 eligible resident physicians (83%) agreed to participate; 173 of their 415 eligible patients (42%) expressed interest in the study and 99 (24%) consented to participate. Compared to controls, a higher percentage of intervention patients reported initiating any discussion with their resident physician, although this difference was not statistically significant (40% vs. 27%; p = 0.12). For subgroup analyses regarding specific topics of discussion, patients in the intervention group reported initiating more discussions regarding mental HRQoL than controls (23% vs. 0%; p = 0.02). There was no difference in patient reports of initiating discussions regarding smoking, physical activity or physical HRQoL. CONCLUSIONS: Providing patients with immediate, personalized, guideline-based feedback prior to the clinical encounter can increase patient-initiated discussions regarding mental HRQoL. Future work should test FAST-Feedback in a larger population and evaluate the impact on tobacco cessation, increased physical activity, and improvements in HRQoL.

Physical activity intensity and cardiovascular risk by ankle-brachial index.

A low ankle-brachial index (ABI) is associated with increased risk for cardiovascular events and mortality. Physical inactivity in individuals with a low ABI may further increase their risk for cardiovascular events. The purpose of this paper is to examine the relationship between the intensity of free-living physical activity and cardiovascular disease (CVD) risk by ABI status. During 2003-2004, the National Health and Nutrition Examination Survey included an accelerometer module and collected ABI data. Individuals were classified as having a normal (1-1.4) or low (< 1) ABI. The Framingham risk score (FRS) was used to determine CVD risk. Multiple linear regression was used to determine the association of total accelerometer counts and time spent at various physical activity intensity levels with FRS by ABI groups. Individuals with a low ABI spent less time engaging in moderate-to-vigorous intensity physical activity (MVPA) (9.1 min/day vs 13.2 min/day; p = 0.06) when compared to those with a normal ABI. There were no differences in light intensity physical activity (LPA) or sedentary behavior between ABI groups. Total accelerometer counts were inversely related to FRS. MVPA, but not LPA, was inversely related to FRS in both normal and low ABI groups (p < 0.001 and p = 0.001, respectively). In conclusion, these findings suggest that even modestly higher levels of physical activity may be beneficial for secondary risk prevention in this high-risk group.

Association of leisure physical activity and sleep with cardiovascular risk factors in postmenopausal women.

OBJECTIVE: The aim of this study was to examine the individual and combined associations of leisure-time physical activity and sleep with cardiovascular risk factors in postmenopausal women. METHODS: We analyzed 48-month cross-sectional follow-up data from 393 participants of the Women on the Move Through Activity and Nutrition Study, a behavioral weight loss trial. Leisure-time physical activity data were collected with the past-year Modifiable Activity Questionnaire, whereas sleep data were collected with the Pittsburgh Sleep Quality Index. We compared physical activity and sleep categories using analysis of variance, post hoc Scheffe tests, and multivariate analyses based on groups above/below the median leisure-time physical activity level, above/below the sleep quality value of 5, and above/below the sleep duration of 7 hours/day. RESULTS: The average sleep quality and sleep duration did not significantly differ between women with high and women with low physical activity levels. When women with good sleep quality were compared, higher physical activity levels were associated with lower body mass index (2.0 kg/m; 25, 75 quartiles, 0.3, 3.6), waist circumference (6.3 cm; 1.7, 10.9), and total body fat (2.1%; 0.3, 4.0; P < 0.05). When participants with poor sleep quality were compared, highly active women had lower trunk fat, total body fat, and insulin levels than less active women did (P < 0.05). In multivariate analysis, physical activity was significantly associated with high-density lipoprotein level, trunk fat, and total body fat after controlling for sleep quality, sleep duration, age, hormone therapy and smoking status, and body mass index. CONCLUSIONS: The combined associations of leisure-time physical activity and sleep suggest that cardiovascular risk factors are more favorable in highly active women relative to less active women regardless of sleep.

The impact of weight and fat mass loss and increased physical activity on physical function in overweight, postmenopausal women: results from the Women on the Move Through Activity and Nutrition study.

OBJECTIVE: The aim of this study was to determine whether changes in leisure time physical activity (LTPA) and body composition reflect concomitant changes in 400-meter walk time. METHODS: Data were collected at the baseline and 48-month visits in the Women on the Move Through Activity and Nutrition study. At baseline, participants (n = 508) were randomized to the lifestyle intervention or health education group. The lifestyle intervention focused on weight (7%-10%) and waist circumference reduction through healthy lifestyle behavior change. Change in walk time over 48 months was the primary outcome. Secondary measures included change in LTPA and body composition measures including, body weight, body mass index, waist circumference, and dual-energy x-ray absorptiometry--derived fat and lean mass. RESULTS: Increased LTPA and reductions in body weight, body mass index, waist circumference, and fat mass were associated with decreased walk time from baseline to 48 months (P < 0.01). After stratification by group, LTPA was no longer significantly related to walk time in the health education group. CONCLUSIONS: Increased LTPA and weight loss resulted in improved physical function, as measured by the 400-meter walk, in a group of overweight, postmenopausal women. These findings support the use of the 400-meter walk to evaluate progress in physical activity or weight loss programs.

Physical activity self-monitoring and weight loss: 6-month results of the SMART trial.

INTRODUCTION: Weight loss has been associated with higher physical activity (PA) levels and frequent dietary self-monitoring. Less is known about how PA self-monitoring affects adherence to PA goals, PA levels, and weight change. METHODS: The SMART Trial is a clinical weight loss trial in which 210 overweight adults were randomized equally to one of three arms: 1) paper record (PR), 2) personal digital assistant with self-monitoring software (PDA), and 3) PDA with daily tailored feedback message (PDA + FB). PA self-monitoring and adherence to PA goals were based on entries in weekly submitted diaries. PA levels were measured via self-report by the past 6-month Modifiable Activity Questionnaire at baseline and 6 months. RESULTS: Data are presented on 189 participants with complete 6-month PA data (84% female, 77% white, mean age = 47.3 ± 8.8 yr, mean body mass index = 34.1 ± 4.5 kg·m(-2)). Median PA level was 7.96 MET·h·wk(-1) at baseline and 13.4 MET·h·wk(-1) at 6 months, with significant PA increases in all three arms. PDA + FB arm had a higher mean number of weekly self-monitoring entries than the PR arm (3.4 vs 2.4, P = 0.003) and were more likely to maintain high (i.e., 100%) adherence to PA goals over time than the PDA (P = 0.02) or PR arms (P = 0.0003). Both PA self-monitoring and adherence to PA goals were related to higher PA levels at 6 months. A higher mean rate of PA self-monitoring was associated with a greater percentage of weight decrease (ρ = -0.49, P < 0.0001) at 6 months. CONCLUSIONS: PA self-monitoring and adherence to PA goals were more likely in participants in the PDA + FB arm and in turn predicted higher PA levels and weight loss.

Physical activity, adiposity, and risk of endometrial cancer.

OBJECTIVE: We examined the associations of leisure-time physical activity and adiposity with endometrial cancer risk. METHODS: Eligible subjects were 32,642 healthy US women, >or=45 years, from the Women's Health Study. Women reported on questionnaires about their weight, height, and physical activity at baseline (1992-1995) and waist and hip circumference at 72 months. During an average follow-up of 8.8 years, 264 women developed endometrial cancer, confirmed using medical records. RESULTS: The heaviest women (body mass index, BMI >or= 30 kg/m(2)) had more than twice the risk of endometrial cancer as those who were least heavy (BMI < 22.5 kg/m(2)) [multivariable-adjusted relative risk, RR = 2.49 (95% confidence interval (CI) = 1.73, 3.59)]. Neither waist nor waist/hip ratio predicted risk in multivariate analyses. Leisure-time physical activity and walking were also unrelated to risk. Women reporting any vigorous activity had lower risk than those reporting none (multivariable-adjusted RR = 0.74 [0.56, 0.97]) independent of BMI, but there was no trend of declining risk with increasing energy expended in such activities. In examining the joint effects of BMI and physical activity, compared with active (>or=15 MET-h/week), normal weight (BMI < 25) women, those who were both inactive (<15 MET-h/week) and overweight (BMI >or= 25) had higher risk (multivariable-adjusted RR = 1.85 [1.26, 2.72]), as did women who were overweight and active (multivariable-adjusted RR = 1.60 [1.01, 2.54]), whereas normal weight, inactive women (multivariable-adjusted RR = 1.17 [0.77, 1.77]) did not. CONCLUSIONS: This study confirms BMI as a strong predictor of endometrial cancer risk. Central adiposity did not independently predict risk after adjustment for BMI; there also was no clear evidence of an inverse relation with leisure-time physical activity.

Gender, mental health service use and objectively measured physical activity: Data from the National Health and Nutrition Examination Survey (NHANES 2003-2004).

OBJECTIVE: To examine the relationship between physical activity levels measured objectively by accelerometry and the use of mental health services (MHS) in a representative sample of males and females. METHOD: NHANES 2003-2004 is a cross-sectional study of the civilian, non-institutionalized US adult population. Participants reported whether or not they had seen a mental health professional during the past 12 months. Three measures of daily physical activity (light minutes, moderate-vigorous minutes, and total activity counts) and sedentary minutes were determined by accelerometry. The relationship between physical activity and use of MHS was modeled with and without adjustments for potential socioeconomic and health confounders. RESULTS: Of the 1846 males and 1963 females included in this analysis, 7 and 8% reported seeing mental health professionals during the past 12 months, respectively. Men who used MHS were significantly less active than men who did not use MHS (227,700 versus 276,900 total activity counts, respectively, p < 0.05). Men who did not use MHS engaged in 38 min (95% CI 16.3, 59.0) more of light or moderate-vigorous physical activity per day than men who used MHS. Physical activity levels of women, regardless of MHS use, were significantly lower than men who did not use MHS. Differences in total physical activity between women who did and did not use MHS were small (1.3, 95% CI - 14.0, 11.4). CONCLUSION: Men and women who used MHS were relatively sedentary. Additional research is warranted to determine if increasing physical activity levels results in improved mental health in individuals who use MHS.

Lapses and psychosocial factors related to physical activity in early postmenopause.

PURPOSE: After menopause, leisure physical activity (PA) levels seem to decline for reasons that are not completely understood. This study examines the associations between PA, lapses in PA, and psychosocial factors in early postmenopausal women. METHODS: This cross-sectional analysis included 497 women from the Women on the Move through Activity and Nutrition study. PA was assessed with a past-year, interviewer-administered Modifiable Activity Questionnaire. Measures of activity lapses of >or= 2 wk in the past 6 months, exercise decision making, processes of change, and self-efficacy were collected along with Beck Depression Inventory, State-Trait Anxiety Inventory, Cohen Perceived Stress Scale, and Short Form-36. RESULTS: Mean age of participants was 56.9 yr. Compared with less active women, women with significantly higher activity levels reported greater exercise self-efficacy (r = 0.31), more frequent use of behavioral exercise processes of change (r = 0.31), greater perceived benefits for PA (r = 0.22), and better physical quality of life (r = 0.16) (all P < 0.001). Women reporting no activity lapses had higher reported activity levels than regularly active women with lapses or occasionally active women with lapses (P < 0.0001 for trend). Of the women who reported lapses, 24% reported low self-confidence, 43% reported difficulty controlling their weight, and 55% reported difficulty maintaining their diet when they lapsed from PA. Thirty-nine percent of women reporting lapses did not resume PA (i.e., relapsed to inactivity). Higher anxiety and depressive symptoms, and less frequent use of behavioral exercise processes of change, were associated with relapse to inactivity. CONCLUSIONS: Future interventions for early postmenopausal women should consider psychosocial factors when attempting to encourage and maintain higher levels of PA. Addressing and preventing PA lapses may help to achieve PA goals in this population.

Associations among walking performance, physical activity, and subclinical cardiovascular disease.

An objective measure of walking performance could have several potential applications in clinical settings. The cross-sectional relationships among long distance corridor walk (LDCW) time, physical activity, and subclinical cardiovascular disease (CVD) measures were examined before group randomization in 492 participants (mean age, 57.0+/-2.9 years) from the Women On the Move Through Activity and Nutrition (WOMAN) study, a randomized clinical trial involving postmenopausal women. Longer walk times were significantly associated with higher body mass index (P<0001), average waist circumference (P<0001), and lower levels of physical activity (P<002). The proportion of detectable coronary artery calcification and median aortic pulse wave velocity levels were significantly higher among those with slower walk times (P<002 and P<.001, respectively). Findings from the current report support the utility of the LDCW to identify women at higher risk for CVD who may be candidates for further cardiovascular testing or intensive lifestyle intervention.

The relationship between physical activity and lipoprotein subclasses in postmenopausal women: the influence of hormone therapy.

OBJECTIVE: This study's objective was to determine if the association between physical activity and lipids and lipoprotein subclasses in postmenopausal women varies by hormone therapy (HT) use. DESIGN: The cross-sectional relationship between physical activity and lipid and lipoprotein subclass relationship was examined before group randomization in 485 postmenopausal (mean age 56.9 [2.9] y) white and African American women from the Woman On the Move through Activity and Nutrition study. This study is a randomized clinical trial designed to test whether a lifestyle intervention will reduce subclinical cardiovascular disease measures. RESULTS: Hormone therapy users (n = 286) were significantly (P < 0.05) younger, less likely to be African American, reported higher levels of physical activity, large very low-density lipoprotein particles (VLDL-P), and medium high-density lipoprotein particles (HDL-P), had a larger mean HDL-P size, and lower levels of total cholesterol, low-density lipoprotein (LDL) cholesterol, small HDL-P, and small VLDL-P than nonusers (n = 196). Physical activity was significantly associated with favorable lipoprotein and lipid levels, regardless of HT use. Some relationships were found to vary significantly by HT use. In nonusers, mean HDL-P and LDL particles (LDL-P) size was significantly larger (P = 0.01 and 0.05, respectively) and total and small LDL-P were significantly lower (both P = 0.02) as activity increased. These relationship were not found in HT users. CONCLUSIONS: Physical activity was significantly related to some lipoprotein subclasses regardless of HT; however, several key lipoprotein subclasses were associated with higher levels of activity only among non-HT users.