Global patterns in excess body weight and the associated cancer burden.

The prevalence of excess body weight and the associated cancer burden have been rising over the past several decades globally. Between 1975 and 2016, the prevalence of excess body weight in adults-defined as a body mass index (BMI) ≥ 25 kg/m2 -increased from nearly 21% in men and 24% in women to approximately 40% in both sexes. Notably, the prevalence of obesity (BMI ≥ 30 kg/m2 ) quadrupled in men, from 3% to 12%, and more than doubled in women, from 7% to 16%. This change, combined with population growth, resulted in a more than 6-fold increase in the number of obese adults, from 100 to 671 million. The largest absolute increase in obesity occurred among men and boys in high-income Western countries and among women and girls in Central Asia, the Middle East, and North Africa. The simultaneous rise in excess body weight in almost all countries is thought to be driven largely by changes in the global food system, which promotes energy-dense, nutrient-poor foods, alongside reduced opportunities for physical activity. In 2012, excess body weight accounted for approximately 3.9% of all cancers (544,300 cases) with proportion varying from less than 1% in low-income countries to 7% or 8% in some high-income Western countries and in Middle Eastern and Northern African countries. The attributable burden by sex was higher for women (368,500 cases) than for men (175,800 cases). Given the pandemic proportion of excess body weight in high-income countries and the increasing prevalence in low- and middle-income countries, the global cancer burden attributable to this condition is likely to increase in the future. There is emerging consensus on opportunities for obesity control through the multisectoral coordinated implementation of core policy actions to promote an environment conducive to a healthy diet and active living. The rapid increase in both the prevalence of excess body weight and the associated cancer burden highlights the need for a rejuvenated focus on identifying, implementing, and evaluating interventions to prevent and control excess body weight.

Physical activity counseling in primary care: Insights from public health and behavioral economics.

Physical inactivity has reached epidemic proportions in modern society. Abundant evidence points to a causal link between physical inactivity and increased risk for numerous noncommunicable diseases, such as some types of cancer and heart disease, as well as premature mortality. Yet, despite this overwhelming evidence, many individuals do not meet the recommended amount of physical activity required to achieve maximum health benefits. Because primary care physicians' advice is highly regarded, clinicians have the unique opportunity to play an important role in enabling patients to modify their behavior at the point of care with the goal of guiding patients to adopt and maintain an active lifestyle. In the current study, the authors evaluate pertinent literature from the fields of medicine/public health and economics/psychology to suggest a comprehensive approach to physical activity counseling at the primary care level. They first examine the public health approach to physical activity counseling, and then proceed to offer insights from behavioral economics, an emerging field that combines principles from psychology and economics. The application of key behavioral economics tools (eg, precommitment contracts, framing) to physical activity counseling in primary care is elaborated. CA Cancer J Clin 2017;67:233-244. © 2017 American Cancer Society.

Physical activity trajectories, autonomic balance and cognitive function: The Coronary Artery Risk Development in Young Adults (CARDIA) study.

Physical activity (PA) plays an important role in cognitive health. However, the underlying mechanisms are not fully understood. Cardiac autonomic balance is influenced by PA and implicated in dementia pathogenesis. We examined whether autonomic balance mediates the association between PA and cognitive function. The sample included 1939 participants from the Coronary Artery Risk Development in Young Adults study who completed cognitive testing after 30-year follow-up (baseline: mean age 25.2 ± 3.5y; 58% women; 43% Black). Moderate to vigorous intensity PA (MVPA) was obtained in 7 consecutive examinations over 20 years (Year 0-Year 20). Cardiac autonomic balance was assessed at Year 20 via resting heart rate (RHR), standard deviation normal to normal (SDNN) and root mean square of successive differences (RMSSD). We used group-based trajectory modeling to identify homogenous MVPA trajectory groups, and formal mediation analysis to test whether autonomic function indices mediate the association between MVPA trajectories and cognition. We identified three distinct PA trajectory patterns: (1) Below MVPA guidelines (n = 1122; 57.9%); (2) Meeting MVPA guidelines (n = 652; 33.6%); and (3) Exceeding MVPA guidelines (n = 165; 8.5%). Meeting and exceeding MVPA guidelines were related to better autonomic balance overall, and to improved semantic fluency performance. Statistically, the association between higher MVPA level and verbal ability was mediated by SDNN and RMSSD, but not by RHR. In our sample of young and middle-aged adults, higher MVPA levels over time were associated with better cardiac autonomic function, which explained some of the associations between PA trajectories and better cognition.

Sitting Time, Physical Activity, and Cognitive Impairment in Midlife and Older Adults.

This study cross-sectionally examines the relations of sitting and physical activity (PA) with cognitive impairment in community-dwelling adults aged 55-87 years (n = 3,780). Multivariable logistic regression assessed independent and joint relations of sitting and PA with Montreal Cognitive Assessment scores adjusting for covariates. Sitting ≥75% of the time and not meeting PA guidelines were related to 60% (95% confidence interval [CI] [1.19, 2.17]) and 27% (95% CI [1.06, 1.53]) higher odds for cognitive impairment, respectively. Stratification by age showed that sitting ≥75% of the time was associated with higher cognitive impairment odds in midlife (odds ratio [OR] = 1.86; 95% CI [1.31, 2.65]), but not older adults (OR = 1.06; 95% CI [0.57, 1.95]). Joint association analysis revealed that, overall, the highest odds for cognitive impairment were in those sitting ≥75% of the time while meeting or not meeting PA guidelines (OR = 1.69, 95% CI [1.13, 2.53]; and OR = 1.66, 95% CI [1.19, 2.32], respectively). In conclusion, prolonged sitting and insufficient PA are independent risk markers for cognitive impairment.

Body mass, cardiorespiratory fitness, and cardiometabolic risk over time: Findings from the Cooper Center Longitudinal Study.

Few studies have adequately assessed the simultaneous effects of changes in cardiorespiratory fitness (fitness) and body mass on cardiometabolic risk. Hence, the current study's aims were twofold: (1) To determine whether increases in body mass result in higher cardiometabolic risk after controlling for fitness changes; and (2) To assess whether increases in fitness result in lower cardiometabolic risk after controlling for weight changes. The study consisted of 3534 patients who came for preventive medicine visits ≥4 times over any 10-year period (1979-2019). The primary independent variables were body mass and fitness, and the dependent variable was metabolic syndrome (MetS) and its components. Mixed-effects regression was used to model the relationship between changes in body mass, fitness, and MetS. Results indicate that increasing body mass up to a 10-year period was significantly related to increasing risk of MetS while controlling for changes in fitness. Specifically, a 1-kg increase in body mass was associated with a 17% (OR = 1.17; 95% CI 1.15-1.19) increased odds for MetS, while adjusting for fitness changes. A 1-MET increase in fitness was related to a 23% (OR = 0.77; 95% CI 0.70-0.84) decrease in odds for MetS, while adjusting for body mass changes up to 10 years. Moreover, body mass change was significantly related to changes in all cardiometabolic components of MetS. Fitness change was significantly associated with changes in MetS components. Future interventions should focus concurrently on increasing fitness and on body mass loss (or maintenance) to improve cardiometabolic health.

Health & Wealth: is weight loss success related to monetary savings in U.S. adults of low-income? Findings from a National Study.

BACKGROUND: Many individuals aspire to attain various goals in life, such as committing to a healthful diet to slim down or saving for retirement to enhance future welfare. While these behaviors (weight loss and saving) share the common denominator of self-regulation, it is unclear whether success in one domain is related to the other. Therefore, we examined the relationship between long term weight loss (LTWL) success and monetary savings among U.S. adults who at one point in life diverged from normal weight status. METHODS: Data on 1994 adults with a maximum BMI ≥ 25 kg/m2 and with an annual household income equal or less than 200% poverty level. Data were derived from a U.S. population-based study (NHANES). The independent variable was LTWL success (loss maintained for at least 1 year), which was operationalized as < 10% (reference group), 10.00-19.99%, and ≥ 20.00%. The dependent variable was monetary savings (e.g., 401 K), defined as a 3-category ordinal variable. We employed ordered logistic regression to estimate the relationship between LTWL success and increased odds for higher overall savings. RESULTS: Multivariable analysis revealed that adjusting for income, education and other covariates, being in the highest LTWL category (≥20.00%) significantly reduced the likelihood of monetary savings in comparison to the reference group (OR = 0.55, 95%CI = 0.34-0.91). This relationship was not observed in the lower LTWL category (10.00-19.99%). CONCLUSIONS: Adults who in the past were overweight or obese and who presently exhibit high levels of LTWL, were markedly less successful when it came to their finances. This might stem from significant cognitive-affective resources exerted during the weight loss process coupled with a paucity of financial resources which impede financial decision making. This supposition, however, warrants future research.

Physical Activity in Cancer Survivors During "Re-Entry" Following Cancer Treatment.

INTRODUCTION: The transition from active cancer treatment into survivorship, known as re-entry, remains understudied. During re-entry, clinicians can educate survivors on the benefits of healthy behaviors, including physical activity, as survivors adjust to life after cancer. We examine the prevalence of adherence to established aerobic physical activity guidelines (≥150 minutes of moderate-intensity physical activity per week) in addition to related medico-demographic factors among cancer survivors during re-entry. METHODS: Data from 1,160 breast, colorectal, and prostate cancer survivors participating in the American Cancer Society's National Cancer Survivor Transition Study were examined. Multinomial logistic regression was used to calculate adjusted odds ratios (AOR) for various medico-demographic variables in relation to 4 established levels of physical activity (inactive, insufficiently active, 1-<2 times the guideline level, and ≥2 times the guideline level [referent group]). RESULTS: Overall, 8.1% were inactive, 34.1% were insufficiently active, 24.3% were within 1 to less than 2 times the guidelines, and 33.4% exceeded guidelines by 2 or more times. Inactive people had significantly higher odds of being women (AOR, 1.88; 95% confidence interval [CI], 1.10-3.23) and having lower education levels (AOR, 2.02; 95% CI, 1.21-3.38) compared with those who exceeded guidelines by 2 or more times. Each additional comorbidity was associated with a 26% increase in odds of inactivity (AOR, 1.26; 95% CI, 1.08-1.47). CONCLUSION: Patient education on the benefits of regular physical activity is important for all cancer survivors and may be especially important to review after treatment completion to promote healthy habits during this transition period. Survivors who are women, are less educated, and have comorbid conditions may be less likely to be compliant with physical activity guidelines.

Income, physical activity, sedentary behavior, and the 'weekend warrior' among U.S. adults.

The present study examines the association between income and physical activity intensity along the entire continuum using accelerometry in a nationally representative sample of U.S. adults. Specifically, we assessed the relationship between annual household income, sedentary behavior, light, and moderate-vigorous intensity physical activity, and meeting physical activity guidelines over a brief, 2-day period ('weekend warrior'), and during the entire week. The sample consisted of 5206 National Health and Examination Survey adult participants (2003-2006) who wore accelerometers and completed pertinent survey questions. Ordinary Least Square models were computed to examine the relationship between income and the dependent variables (sedentary behavior, light, and moderate to vigorous intensity activity) adjusting for covariates. Logistic regression was employed to examine the association between income and meeting physical activity guidelines during a 2-day and 7-day time-period. Results indicate that individuals with an annual income of ≥$75,000 engaged in 4.6 more daily minutes of moderate to vigorous activity (p-value<0.01), in comparison to the reference group (<$20,000 annual income). Those in the high-income strata were 1.6 and 1.9 times more likely to meet physical activity guidelines during a 2 and 7-day period (respectively) than their lower income counterparts (p<0.05 for both). Further, those in the high-income strata spent 11.8 more minutes daily being sedentary than their lower income counterparts (p-value<0.01). In conclusion, higher annual household income is related to more intense, less frequent (per week) patterns of physical activity and more daily sedentary time.

U.S. military service and the prevalence of metabolic syndrome: Findings from a cross-sectional analysis of the Cooper Center Longitudinal Study, 1979-2013.

U.S. military service confers both health benefits and risks potentially associated with a clustering of cardiovascular risk factors called metabolic syndrome. However, the association between prior military service and metabolic syndrome has not sufficiently been examined. The purpose of the study was to compare the prevalence of metabolic syndrome by prior military service status. Among 42,370 men (887 with prior military service) examined from 1979 to 2013 at the Cooper Clinic (Dallas, TX), we used a cross-sectional study design to examine the association between military service and metabolic syndrome. First, an unadjusted log binomial regression model was performed by regressing the prevalence of metabolic syndrome on prior service. This was followed by performing Kleinbaum's modeling strategy for assessing confounding. The same methodology was used to explore the association between individual metabolic syndrome risk factors and prior service. Prior military service was not significantly associated with the prevalence of metabolic syndrome (PR=0.98, 0.89-1.07). None of the variables explored were identified as confounders. Participants with prior military service had lower prevalence of both elevated levels of triglycerides (PR=0.89, 0.80-0.99) and low levels of high-density lipoprotein-cholesterol (PR=0.78, 0.70-0.88). They had a higher prevalence of elevated resting systolic blood pressure (PR=1.23, 1.12-1.35). However, none of these associations were significant after adjusting for identified confounders: age; cardiorespiratory fitness; and exam year. Study findings indicate that military service was not independently associated with the prevalence of metabolic syndrome or its components. Future research is warranted longitudinally assessing the impact of military service on long-term outcomes.

Ecological Momentary Assessment of Physical Activity: Validation Study.

BACKGROUND: Ecological momentary assessment (EMA) may elicit physical activity (PA) estimates that are less prone to bias than traditional self-report measures while providing context. OBJECTIVES: The objective of this study was to examine the convergent validity of EMA-assessed PA compared with accelerometry. METHODS: The participants self-reported their PA using International Physical Activity Questionnaire (IPAQ) and Behavioral Risk Factor Surveillance System (BRFSS) and wore an accelerometer while completing daily EMAs (delivered through the mobile phone) for 7 days. Weekly summary estimates included sedentary time and moderate-, vigorous-, and moderate-to vigorous-intensity physical activity (MVPA). Spearman coefficients and Lin's concordance correlation coefficients (LCC) examined the linear association and agreement for EMA and the questionnaires as compared with accelerometry. RESULTS: Participants were aged 43.3 (SD 13.1) years, 51.7% (123/238) were African American, 74.8% (178/238) were overweight or obese, and 63.0% (150/238) were low income. The linear associations of EMA and traditional self-reports with accelerometer estimates were statistically significant (P<.05) for sedentary time (EMA: ρ=.16), moderate-intensity PA (EMA: ρ=.29; BRFSS: ρ=.17; IPAQ: ρ=.24), and MVPA (EMA: ρ=.31; BRFSS: ρ=.17; IPAQ: ρ=.20). Only EMA estimates of PA were statistically significant compared with accelerometer for agreement. CONCLUSIONS: The mobile EMA showed better correlation and agreement to accelerometer estimates than traditional self-report methods. These findings suggest that mobile EMA may be a practical alternative to accelerometers to assess PA in free-living settings.

Economic preferences and fast food consumption in US adults: Insights from behavioral economics.

OBJECTIVE: To examine the relationship between economic time preferences and frequency of fast food and full-service restaurant consumption among U.S. adults. METHODS: Participants included 5871U.S. adults who responded to a survey conducted in 2011 pertaining to the lifestyle behaviors of families and the social context of these behaviors. The primary independent variable was a measure of time preferences, an intertemporal choice assessing delay discounting. This was elicited via responses to preferences for an immediate dollar amount or a larger sum in 30 (30-day time horizon) or 60days (60-day time horizon). Outcomes were the frequency of fast food and full-service restaurant consumption. Ordered logistic regression was performed to examine the relationship between time preferences and food consumption while adjusting for covariates (e.g. socio-demographics). RESULTS: Multivariable analysis revealed that higher future time preferences were significantly related to less frequent fast food intake for both the 30- and 60-day time horizon variables (P for linear trend <0.05; both). Notably, participants with the highest future time preference were significantly less likely to consume fast food than those with very low future time preferences (30-day: OR=0.74, 95%CI: 0.62-0.89; and 60-day: OR=0.86, 95%CI: 0.74-1.00). In comparison, higher future time preferences were not significantly associated with full-service restaurant intake (30-day: p for linear trend=0.73; 60-day: p for linear trend=0.83). CONCLUSIONS: Higher future time preferences were related to a lower frequency of fast food consumption. Utilizing concepts from behavioral economics (e.g. pre-commitment contracts) to facilitate more healthful eating is warranted using experimental studies.

Association Between Sitting Time and Cardiometabolic Risk Factors After Adjustment for Cardiorespiratory Fitness, Cooper Center Longitudinal Study, 2010-2013.

INTRODUCTION: Objective estimates, based on waist-worn accelerometers, indicate that adults spend over half their day (55%) in sedentary behaviors. Our study examined the association between sitting time and cardiometabolic risk factors after adjustment for cardiorespiratory fitness (CRF). METHODS: A cross-sectional analysis was conducted with 4,486 men and 1,845 women who reported daily estimated sitting time, had measures for adiposity, blood lipids, glucose, and blood pressure, and underwent maximal stress testing. We used a modeling strategy using logistic regression analysis to assess CRF as a potential effect modifier and to control for potential confounding effects of CRF. RESULTS: Men who sat almost all of the time (about 100%) were more likely to be obese whether defined by waist girth (OR, 2.61; 95% CI, 1.25-5.47) or percentage of body fat (OR, 3.33; 95% CI, 1.35-8.20) than were men who sat almost none of the time (about 0%). Sitting time was not significantly associated with other cardiometabolic risk factors after adjustment for CRF level. For women, no significant associations between sitting time and cardiometabolic risk factors were observed after adjustment for CRF and other covariates. CONCLUSION: As health professionals struggle to find ways to combat obesity and its health effects, reducing sitting time can be an initial step in a total physical activity plan that includes strategies to reduce sedentary time through increases in physical activity among men. In addition, further research is needed to elucidate the relationships between sitting time and CRF for women as well as the underlying mechanisms involved in these relationships.

Impact of a Mobile Phone Intervention to Reduce Sedentary Behavior in a Community Sample of Adults: A Quasi-Experimental Evaluation.

BACKGROUND: Greater time spent sedentary is linked with increased risk of breast, colorectal, ovarian, endometrial, and prostate cancers. Given steadily increasing rates of mobile phone ownership, mobile phone interventions may have the potential to broadly influence sedentary behavior across settings. OBJECTIVE: The purpose of this study was to examine the short-term impact of a mobile phone intervention that targeted sedentary time in a diverse community sample. METHODS: Adults participated in a quasi-experimental evaluation of a mobile phone intervention designed to reduce sedentary time through prompts to interrupt periods of sitting. Participants carried mobile phones and wore accelerometers for 7 consecutive days. Intervention participants additionally received mobile phone prompts during self-reported sitting and information about the negative health impact of prolonged sedentariness. The study was conducted from December 2012 to November 2013 in Dallas, Texas. Linear mixed model regression analyses were conducted to evaluate the influence of the intervention on daily accelerometer-determined estimates of sedentary and active time. RESULTS: Participants (N=215) were predominantly female (67.9%, 146/215) and nonwhite (black: 50.7%, 109/215; Latino: 12.1%, 26/215; other: 5.6%, 12/215). Analyses revealed that participants who received the mobile phone intervention had significantly fewer daily minutes of sedentary time (B=-22.09, P=.045) and more daily active minutes (B=23.01, P=.04) than control participants. CONCLUSIONS: A simple mobile phone intervention was associated with engaging in less sedentary time and more physical activity. Findings underscore the potential impact of mobile phone interventions to positively influence sedentary behavior and physical activity.

Economic Preferences and Obesity among a Low-Income African American Community.

Obesity has reached epidemic proportions in the US, with a significantly higher fraction of African Americans who are obese than whites. Yet there is little understanding of why some individuals become obese while others do not. We conduct a lab-in-field experiment in a low-income African American community to investigate whether risk and time preferences play a role in the tendency to become obese. We examine the relationship between incentivized measures of risk and time preferences and weight status (BMI), and find that individuals who are more tolerant of risk are more likely to have a higher BMI. This result is driven by the most risk tolerant individuals. Patience is not independently statistically related to BMI in this sample, but those who are more risk averse and patient are less likely to be obese.

The Supplemental Nutrition Assistance Program, Food Insecurity, Dietary Quality, and Obesity Among U.S. Adults.

OBJECTIVES: We examined whether Supplemental Nutrition Assistance Program (SNAP) participation changes associations between food insecurity, dietary quality, and weight among US adults. METHODS: We analyzed adult dietary intake data (n = 8333) from the 2003 to 2010 National Health and Nutrition Examination Survey. Bivariate and multivariable methods assessed associations of SNAP participation and 4 levels of food security with diet and weight. Measures of dietary quality were the Healthy Eating Index 2010, total caloric intake, empty calories, and solid fat; weight measures were body mass index (BMI), overweight, and obesity. RESULTS: SNAP participants with marginal food security had lower BMI (1.83 kg/m2; P < .01) and lower probability of obesity (9 percentage points; P < .05). SNAP participants with marginal (3.46 points; P < .01), low (1.98 points; P < .05), and very low (3.84 points; P < .01) food security had better diets, as illustrated by the Healthy Eating Index. Associations between SNAP participation and improved diet and weight were stronger among Whites than Blacks and Hispanics. CONCLUSIONS: Our research highlights the role of SNAP in helping individuals who are at risk for food insecurity to obtain a healthier diet and better weight status.

Accelerometer determined sedentary behavior and dietary quality among US adults.

OBJECTIVE: Scant evidence exists pertaining to objectively measured sedentary time and dietary quality among adults. Therefore, we examined the relationships between sedentary time, physical activity, and dietary quality. METHODS: Cross-sectional analyses of a 4,910 US adults from two cycles (2003-2006) of the National Health and Nutrition Examination Survey. The primary independent variables were sedentary time and physical activity (continuous and categorical), while the outcomes were overall dietary quality (Healthy Eating Index (HEI) 2010), fruit and vegetable scores, and empty caloric intake (kcal). RESULTS: Multivariable analyses revealed that a 1min increase in daily sedentary behavior was associated with a 0.2kcal decrease in empty calories (-0.18, 95% CI=-0.34, -0.03); however, sedentary time was not significantly related to overall dietary quality (HEI) and fruit and vegetable intake. In comparison, a 1min increase in daily moderate-to-vigorous intensity physical activity was related to a 0.1 higher HEI score (0.08, 95% CI=0.04, 0.11), a 0.01 higher fruit score (0.01, 95% CI=0.01, 0.02), and conversely a 1.3kcal decrease in empty calories (-1.35, 95% CI=-2.01, -0.69). In addition, meeting physical activity guidelines was associated with a 2.8 point higher HEI score (2.82, 95% CI=1.40, 4.25), a 0.5 point higher fruit score (0.51, 95% CI=0.31-0.71), and 37.4 fewer empty calories (-37.43, 95% CI=-64.86, -9.10). CONCLUSIONS: Physical activity is significantly related to better overall dietary quality, while sedentary behavior is not. Findings suggest the need to promote physical activity and encourage adherence to dietary guidelines jointly, whereas sedentary behavior and overall dietary quality might need to be targeted independently.

'Sedentary behaviour counselling': the next step in lifestyle counselling in primary care; pilot findings from the Rapid Assessment Disuse Index (RADI) study.

BACKGROUND: Accumulating evidence emphasises a relationship between prolonged sitting and increased risk for cardiometabolic disorders and premature death irrespective of the protective effects of physical activity. Primary care physicians have the potential to play a key role in modifying patients' sedentary behaviour alongside physical activity. METHODS: A pilot study examining sedentary behaviour and physical activity counselling in a primary care clinic. A total of 157 patients completed a detailed survey related to lifestyle counselling received from their primary care physician. We analysed these responses to describe counselling practices within the 5A framework, and to examine correlates (ie, patients' demographics, sedentary behaviour and physical activity and clinical variables) related to receiving counselling. RESULTS: A total of 10% received general advice to decrease sitting time, in comparison with 53% receiving general physical activity counselling. None, however, received a written plan pertaining to sedentary behaviour whereas 14% received a written physical activity prescription. Only 2% were provided with specific strategies for sedentary behaviour change in comparison with 10% for physical activity change. Multivariable analysis revealed that patients who were obese were more likely to receive counselling to decrease sitting (OR=7.0; 95% CI 1.4 to 35.2). In comparison, higher odds for receiving physical activity counselling were associated with being younger, aged 40-59 years (OR=2.4; 95% CI 1.1 to 5.4); and being a non-smoker (OR=6.1; 95% CI 1.3 to 28.4). CONCLUSIONS: This study is the first to assess sedentary behaviour counselling practices in primary care and such practices appear to be infrequent. Future research should attempt to establish a 'knowledge base' to inform development of sedentary behaviour interventions, which should be followed by testing feasibility, efficacy, and subsequent effectiveness of these programmes in a clinical setting.

Sedentary behaviour and physical inactivity assessment in primary care: the Rapid Assessment Disuse Index (RADI) study.

BACKGROUND: The emerging evidence of the effects of sedentary time on health outcomes suggests a need to better measure this exposure. Healthcare settings, however, are not equipped with a tool that can quickly assess the sedentary habits of their patient population. The purpose of this study was to validate a tool for rapidly quantifying and tracking the sedentary time and low levels of daily lifestyle physical activity among primary care patients. METHODS: The study examined the test-retest reliability and validity of the rapid assessment disuse index (RADI) among adult patients from a large primary care clinic. Patients completed RADI (comprised of 3 items: sitting, moving and stair climbing) twice, followed by accelerometer monitoring. Test-retest reliability was computed, and the correlation between survey responses and accelerometry was determined. A receiver operating characteristic curve was constructed and the area under the curve (AUC) was calculated. RESULTS: RADI was temporally stable (intraclass correlation coefficients 0.79), and a higher score was significantly correlated with greater sedentary time (ρ=0.40; p<0.01), fewer sedentary to active transitions (ρ=-0.42; p<0.01), and less light-intensity physical activity (ρ=-0.40; p<0.01). The ability of RADI to detect patients with high levels of sedentary time was fair (AUC=0.72). CONCLUSIONS: This brief assessment tool, designed to quickly identify patients with high levels of sitting and low daily physical activity, exhibits good reliability and moderate validity. RADI can assist in providing recommendations at the point of care pertaining to modifying sedentary behaviour.

Coronary Artery Calcification and High-Volume Physical Activity: Role of Lower Intensity versus Longer Duration of Exercise.

AIM: While high-volume physical activity (PA) has been linked to elevated coronary artery calcification (CAC), the role of intensity versus duration of PA has not been investigated. The purpose of the study was to examine the role of intensity versus duration of PA in relation to CAC. METHODS: Data are from 23,383 apparently healthy men who completed a PA questionnaire and underwent CAC scanning as part of a preventive exam. Self-reported PA was categorized into 4 groups of average intensity and weekly duration of PA and (average intensity: 1, 3-5.9, 6-8.9, and 9-12 metabolic equivalents of task [METs]; weekly duration: 0, > 0-<2, 2-<5, and ≥5 hours/week). Mean CAC and CAC ≥ 100 Agatston Units (AU) were regressed separately on continuous or categorical average intensity and weekly duration of PA. RESULTS: The mean and standard deviation (SD) age was 51.7 (8.3) years, and mean CAC was 174.8 (543.6) AU with 23.5% of men presenting with CAC ≥ 100 AU. Higher average intensity of PA was related to lower mean CAC (-3.1%/MET, 95% confidence interval [CI]: -4.6, -1.6%/MET) and lower relative risk (RR) of CAC ≥ 100 AU (RR: 0.99, 95% CI: 0.98, 1.00/MET). Opposite trend was observed for the duration component wherein higher weekly duration of PA was significantly associated with greater mean CAC and RR of CAC ≥ 100 AU. CONCLUSIONS: Elevated CAC was associated with lower average intensity and longer duration of PA in men, providing new insight into the complex relationship between leisure-time PA behaviors and risk of CAC.

Does greater extent of coronary artery calcification observed at high volumes of leisure time physical activity relate more to the intensity or the duration of the activity? Higher average intensity of activity is associated with less coronary artery calcification at any age and weekly duration of activity.Higher weekly duration of activity is associated with more coronary artery calcification at any age and average intensity of activity.

Physical Activity and Progression of Coronary Artery Calcification in Men and Women.

Importance: Prior cross-sectional studies have suggested that very high levels of physical activity (PA) are associated with a higher prevalence of coronary artery calcium (CAC). However, less is known regarding the association between high-volume PA and progression of CAC over time. Objective: To explore the association between PA (measured at baseline and during follow-up) and the progression of CAC over time. Design, Setting, and Participants: This cohort study included data from 8771 apparently healthy men and women 40 years and older who had multiple preventive medicine visits at the Cooper Clinic (Dallas, Texas), with a mean (SD) follow-up time of 7.8 (4.7) years between the first and last clinic visit. Participants with reported PA and CAC measurements at each visit during 1998 to 2019 were included in the study. Data were analyzed from March 2023 to February 2024. Exposures: PA reported at baseline and follow-up, examined continuously per 500 metabolic equivalent of task minutes per week (MET-min/wk) and categorically: less than 1500, 1500 to 2999, 3000 or more MET-min/wk. Main Outcomes and Measures: Negative binomial regression was used to estimate the rate of mean CAC progression between visits, with potential modification by PA volume, calculated as the mean of PA at baseline and follow-up. In addition, proportional hazards regression was used to estimate hazard ratios for baseline PA as a predictor of CAC progression to 100 or more Agatston units (AU). Results: Among 8771 participants, the mean (SD) age at baseline was 50.2 (7.3) years for men and 51.1 (7.3) years for women. The rate of mean CAC progression per year from baseline was 28.5% in men and 32.1% in women, independent of mean PA during the same time period. That is, the difference in the rate of CAC progression per year was 0.0% per 500 MET-min/wk for men and women (men: 95% CI, -0.1% to 0.1%; women: 95% CI, -0.4% to 0.5%). Moreover, baseline PA was not associated with CAC progression to a clinically meaningful threshold of 100 AU or more over the follow-up period. The hazard ratio for a baseline PA value of 3000 or more MET-min/wk vs less than 1500 MET-min/wk to cross this threshold was 0.84 (95% CI, 0.66 to 1.08) in men and 1.16 (95% CI, 0.57 to 2.35) in women. Conclusions and Relevance: This study found that PA volume was not associated with progression of CAC in a large cohort of healthy men and women who were initially free of overt cardiovascular disease.