Daily physical activity patterns from hip- and wrist-worn accelerometers.

Accelerometer wear location may influence physical activity estimates. This study investigates this relationship through the examination of activity patterns throughout the day. Participants from the aging research evaluating accelerometry (AREA) study (n men = 37, n women = 47, mean age (SD) = 78.9 (5.5) years) were asked to wear accelerometers in a free-living environment for 7 d at three different wear locations; one on each wrist and one on the right hip. During waking hours, wrist-worn accelerometers consistently produced higher median activity counts, about 5 × higher, as well as wider variability compared to hip-worn monitors. However, the shape of the accrual pattern curve over the course of the day for the hip and wrist are similar; there is a spike in activity in the morning, with a prolonged tapering of activity level as the day progresses. The similar patterns of hip and wrist activity accrual provide support that each location is capable of estimating total physical activity volume. The examination of activity patterns over time may provide a more detailed way to examine differences in wear location and different subpopulations.

Reproductive and hormonal factors and mortality among women with colorectal cancer in the NIH-AARP Diet and Health Study.

BACKGROUND: Although use of menopausal hormone therapy (MHT) and some reproductive factors have been associated with colorectal cancer (CRC) risk, relations between these factors and survival after CRC diagnosis are unclear. METHODS: Among 2053 post-menopausal women diagnosed with incident CRC in the NIH-AARP Diet and Health Study, we calculated hazard ratios (HRs) and 95% confidence intervals (CIs) using multivariable Cox proportional hazards regression to test associations between oral contraceptive (OC) use, menarche age, age at first birth, parity, menopausal age, and MHT use with all-cause and CRC-specific mortality. RESULTS: There were 759 deaths (332 CRC-related deaths) over a median follow-up of 7.7 years. We observed no statistically significant associations between OC use, menarche age, age at first birth, parity, menopausal age, and mortality. Compared with never MHT use, former use was not associated with mortality, but we found an inverse association among baseline current users, for both all-cause (HR=0.79, 95% CI 0.66-0.94) and CRC mortality (0.76, 0.59-0.99). CONCLUSION: Future studies should further focus on the mechanisms by which exogenous oestrogen exposure might affect tumour progression and CRC survival.

Sleep duration and breast cancer risk in the Breast Cancer Detection Demonstration Project follow-up cohort.

BACKGROUND: Short sleep has been hypothesised to increase the risk of breast cancer. However, little is known about the association between sleep and different subtypes of breast cancer defined by hormone receptor status. METHODS: Among 40 013 women in the Breast Cancer Detection Demonstration Project, including 1846 incident breast cancer cases, we prospectively examined self-reported weekday and weekend sleep duration in relation to breast cancer risk. We used multivariate Cox proportional hazards regression models to estimate relative risks (RRs) and 95% confidence intervals (CIs). RESULTS: We found no association between sleep and overall breast cancer. However, we observed a decreased risk of ER+PR+ breast cancer (RR <6 vs 8 - 9 h (95% CI): 0.54 (0.31, 0.93), P for trend, 0.003) with shorter sleep duration. CONCLUSIONS: Our finding does not support an association between sleep duration and overall breast cancer risk. However, the effect of sleep on different subtypes of breast cancer deserves further investigation.

Physical activity and breast cancer risk in Chinese women.

BACKGROUND: The influence of different types and intensities of physical activity on risk for breast cancer is unclear. METHODS: In a prospective cohort of 73,049 Chinese women (40-70 years), who had worked outside the home, we studied breast cancer risk in relation to specific types of self-reported and work history-related physical activity, including adolescent and adult exercise and household activity and walking and cycling for transportation. Occupational sitting time and physical activity energy expenditure were assigned based on lifetime occupational histories. RESULTS: In all, 717 incident breast cancer cases were diagnosed. Breast cancer risk was lower for women in the lowest quartile of average occupational sitting time and in the highest quartile of average occupational energy expenditure (adjusted hazard ratio (HR): 0.81 and 0.73, respectively, P ≤ 0.05). Adult exercise at or above the recommended level (8 metabolic equivalent (MET) h per week per year) was associated with lower risk (adjusted HR: 0.73, P<0.05) in post-menopausal women. Analysis of joint effects showed that having both an active job and exercise participation did not confer an additional benefit. Other common daily activities were not associated with lower risk. INTERPRETATION: These findings suggest that both exercise and occupational activity are associated with lower breast cancer risk, which supports current health promotion campaigns promoting exercise.

Physical activity, sedentary behaviours, and the prevention of endometrial cancer.

Physical activity has been hypothesised to reduce endometrial cancer risk, but this relationship has been difficult to confirm because of a limited number of prospective studies. However, recent publications from five cohort studies, which together comprise 2663 out of 3463 cases in the published literature for analyses of recreational physical activity, may help resolve this question. To synthesise these new data, we conducted a meta-analysis of prospective studies published through to December 2009. We found that physical activity was clearly associated with reduced risk of endometrial cancer, with active women having an approximately 30% lower risk than inactive women. Owing to recent interest in sedentary behaviour, we further investigated sitting time in relation to endometrial cancer risk using data from the NIH-AARP Diet and Health Study. We found that, independent of the level of moderate-vigorous physical activity, greater sitting time was associated with increased endometrial cancer risk. Thus, limiting time in sedentary behaviours may complement increasing level of moderate-vigorous physical activity as a means of reducing endometrial cancer risk. Taken together with the established biological plausibility of this relation, the totality of evidence now convincingly indicates that physical activity prevents or reduces risk of endometrial cancer.

Energy balance and type 2 diabetes: a report from the Shanghai Women's Health Study.

BACKGROUND AND AIMS: The combined effect of the components of energy balance (energy intake and physical activity) and the development of type 2 diabetes (T2D) has not been adequately investigated. The aim of this study was to examine the components of energy balance and the incidence of T2D in a cohort of middle-aged women. METHODS AND RESULTS: A population-based prospective study of 64,227 middle-aged Chinese women who had no prior history of diabetes or chronic disease at study recruitment. Participants completed in-person interviews at baseline and follow-up surveys that collected information on diabetes risk factors including dietary and physical activity habits and disease occurrence. Anthropometric measurements were taken by trained interviewers at recruitment. Average follow-up time was 4.6 years. During 297,755 person-years of follow-up, 1608 new cases of T2D were documented. Body mass index (BMI) and weight gain (since age 20) were strongly associated with T2D incidence. Energy intake (EI) was associated with modestly increased risk, while physical activity (PA) was associated with decreased risk of T2D. Less active women with higher EI had higher risk of T2D (RR=1.96; 95% CI: 1.44, 2.67) than active women with lower EI (P(interaction)=0.02). The EI to PA (EI:PA) ratio was positively associated with T2D risk; the association was more evident among overweight and obese women (BMI > or = 23 kg/m(2)). CONCLUSION: These data suggest that energy balance plays an important role in the development of T2D, and this effect may be modified by BMI.

Anthropometric predictors of coronary heart disease in Chinese women.

OBJECTIVE: To evaluate the associations of body size and fat distribution with incidence of coronary heart disease (CHD) in Chinese women. DESIGN: Population-based, prospective cohort study. SUBJECTS: A total of 67 334 women aged 40-70 y, who had no prior history of CHD, stroke, and cancer at study recruitment. MEASUREMENTS: Weight, standing and sitting heights, circumferences of waist and hip, and ratios of the anthropometric measurements. OUTCOME: incidence of CHD (non-fatal myocardial infarction (MI) or fatal CHD). RESULTS: After a mean follow-up of 2.5 y (168 164 person-years), there were 70 incident cases of CHD (49 non-fatal MIs and 21 CHD deaths). Body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-standing height ratio (WHtR), waist-to-sitting height ratio (WsHtR), and conicity index were all positively associated with the risk of CHD. With the exception of WHR, all other anthropometric indexes only predicted the risk of CHD among women

Behavioral risk factors among members of a health maintenance organization.

BACKGROUND: Co-occurrence of risk behaviors (RBs) substantially increases the risk of disease. This study examines the co-occurrence of four health risk behaviors (i.e., smoking, high-fat diet, sedentariness, and high-risk drinking) and demographic and psychosocial variables associated with number of RBs in a sample of members of a health maintenance organization who participated in the Seasonal Variation in Cholesterol (Seasons) study. METHODS: Seasons study baseline data were used. Subjects completed a self-administered questionnaire packet containing questions on demographics, smoking history, and leisure-time physical activity, a 7-day dietary recall instrument, and various psychosocial measures. Results presented here are based on 496 subjects with complete data on all RBs. RESULTS: Forty-three percent of participants had > or = two RBs. The most prevalent RB combination was high-fat diet/sedentariness, with 30% of subjects reporting both RBs. Associations between RBs were observed. A greater number of RBs were observed among younger and less-educated subjects, those with higher depression scores, and subjects who perceived their health as poor. CONCLUSIONS: Findings highlight the importance of designing and evaluating primary care-based screening programs and interventions for multiple RBs.

Sources of variance in daily physical activity levels in the seasonal variation of blood cholesterol study.

The authors examined sources of variance in self-reported physical activity in a cohort of healthy adults (n = 580) from Worcester, Massachusetts (the Seasonal Variation of Blood Cholesterol Study, 1994-1998). Fifteen 24-hour physical activity recalls of total, occupational, and nonoccupational activity (metabolic equivalent-hours/day) were obtained over 12 months. Random effects models were employed to estimate variance components for subject, season, day of the week, and residual error, from which the number of days of assessment required to achieve 80% reliability was estimated. The largest proportional source of variance in total and nonoccupational activity was within-subject variance (50-60% of the total). Differences between subjects accounted for 20-30% of the overall variance in total activity, and seasonal and day-of-the-week effects accounted for 6% and 15%, respectively. For total activity, 7-10 days of assessment in men and 14-21 days of assessment in women were required to achieve 80% reliability. For nonoccupational activity, 21-28 days of assessment were required. This study is among the first to have examined the sources of variance in daily physical activity levels in a large population of adults using 24-hour physical activity recall. These findings provide insight for understanding the strengths and limitations of short term and long term physical activity assessments employed in epidemiologic studies.

Lifetime physical activity and breast cancer risk in the Shanghai Breast Cancer Study.

Overall physical activity in adolescence and adulthood, and changes in activity over the lifespan were analysed by in-person interviews among 1459 women newly diagnosed with breast cancer and 1556 age-matched controls in urban Shanghai. Physical activity from exercise and sports, household, and transportation (walking and cycling) was assessed in adolescence (13-19 y) and adulthood (last 10 y), as was lifetime occupational activity. Logistic regression was used to estimate odds ratios (OR) and 95% confidence limits (OR (95% CL)) while controlling for confounders. Risk was reduced for exercise only in adolescence (OR = 0.84 (0.70-1.00)); exercise only in adulthood (OR = 0.68 (0.53-0.88)), and was further reduced for exercise in both adolescence and adulthood (OR = 0.47 (0.36-0.62)). Graded reductions in risk were noted with increasing years of exercise participation (OR(1-5 yrs)= 0.81 (0.67-0.94); OR(6-10 yrs)= 0.74 (0.59-0.93); OR(11-15 yrs)= 0.55 (0.38-0.79); OR(16 + yrs)= 0.40 (0.27-0.60);P(trend,)< 0.01). Lifetime occupational activity also was inversely related to risk (P(trend)< 0.01). These findings demonstrate that consistently high activity levels throughout life reduce breast cancer risk. Furthermore, they suggest that women may reduce their risk by increasing their activity levels in adulthood.

Variability and classification accuracy of serial high-sensitivity C-reactive protein measurements in healthy adults.

BACKGROUND: Increased concentrations of high-sensitivity C-reactive protein (hs-CRP), a marker of systemic inflammation, are associated with increased risk for coronary heart disease. Because of its relationship to inflammation, hs-CRP has considerable biologic variation. This study was carried out to characterize CRP variation and to compare it to another risk factor, total serum cholesterol. METHODS: One hundred thirteen individuals were scheduled to have five measurements each of hs-CRP and total cholesterol carried out at quarterly intervals over a 1-year period. Variations of hs-CRP and total cholesterol were characterized, and classification accuracy was described and compared for both. RESULTS: The relative variation was comparable for hs-CRP and total cholesterol. When classified by quartile, 63% of first and second hs-CRP measurements were in agreement; for total cholesterol it was 60%. Ninety percent of hs-CRP measurements were within one quartile of each other. This relationship was not altered by the use of log-transformed hs-CRP data. CONCLUSION: hs-CRP has a degree of measurement stability that is similar to that of total cholesterol.

Seasonal variation in household, occupational, and leisure time physical activity: longitudinal analyses from the seasonal variation of blood cholesterol study.

The authors examined seasonal variation in physical activity in longitudinal analyses of 580 healthy adults from Worcester, Massachusetts (the Seasonal Variation of Blood Cholesterol Study, 1994-1998). Three 24-hour physical activity recalls administered five times during 12 months of follow-up were used to estimate household, occupational, leisure time, and total physical activity levels in metabolic equivalent (MET)-hours/day. Trigonometric models were used to estimate the peak-to-trough amplitude and phase of the peaks in activity during the year. Total activity increased by 1.4 MET-hours/day (121 kcal/day) in men and 1.0 MET-hours/day (70 kcal/day) in women during the summer in comparison with winter. Moderate intensity nonoccupational activity increased by 2.0-2.4 MET-hours/day in the summer. During the summer, objectively measured mean physical activity increased by 51 minutes/day (95% confidence interval: 20, 82) in men and by 16 minutes/day (95% confidence interval: -12, 45) in women. The authors observed complex patterns of seasonal change that varied in amplitude and phase by type and intensity of activity and by subject characteristics (i.e., age, obesity, and exercise). These findings have important implications for clinical research studies examining the health effects of physical activity and for health promotion efforts designed to increase population levels of physical activity.

Comparing physical activity assessment methods in the Seasonal Variation of Blood Cholesterol Study.

PURPOSE: This paper evaluated three measures of physical activity employed in the Seasonal Variation of Blood Cholesterol Study (Seasons), and it had two objectives: 1) To examine the laboratory validity of the Actillume activity monitor, and 2) To examine the relative validity of three 24-h physical activity recalls (24HR) in quantifying short-term physical activity behaviors. METHODS: Nineteen healthy middle-age adults completed seven activity trials (reading, typing, box moving, stepping, and walking (3.5, 4.25, 5.0 km x h(-1))) while oxygen consumption and Actillume measures were obtained. ANOVA, linear regression, and a scatter plot were employed to examine the validity of the Actillume. In relative validity analyses of the 24HR in the Seasons study, participants (N = 481) completed two or three 24HR (MET-h x d(-1)) and a modified Baecke Questionnaire. A subset of the cohort (N = 41) wore the Actillume for 3-8 d (counts x min(-1) x d(-1)). The relative validity of the 24HR method was examined by comparison to these criterion measures. RESULTS: In laboratory validation analyses, the monitor was found to discriminate between sedentary and moderate intensity activities, changes in walking speed, and to account for 79% of the variance in oxygen consumption across sedentary and walking trials. In relative validity analyses, correlations between the 24HR and the modified Baecke ranged from 0.29 to 0.52 (P < 0.01) across total, household, occupational, and leisure-time activities. CONCLUSIONS: In laboratory testing, the Actillume monitor discriminated between sedentary and moderate intensity activities and was highly correlated with oxygen consumption. Three 24HR of physical activity were observed to have a relative validity that was comparable to published data from other short-term activity assessments that also employed the Baecke Questionnaire and activity monitors as criterion measures.

Seasonal variation of blood cholesterol levels: study methodology.

This manuscript provides a description of the methodology used in the Seasonal Variation of Blood Cholesterol Levels (SEASON) study, with the intent of informing the scientific community of the available data sets and to invite a dialogue with scientists in complementary fields. The primary aim of the SEASON study is to describe and delineate the causes of seasonal variation of blood lipid levels in the general population. This research project is designed specifically to systematically collect and analyze a number of important variables necessary to study the role of seasonality in blood lipids and relevant covariates.

Classification of cardiorespiratory fitness without exercise testing.

PURPOSE: We examined the ability of a nonexercise based VO2max, prediction model to classify cardiorespiratory fitness (CRF) in a population of men and women aged 19-79 yr of age (N = 799). METHODS: A VO2max (mL.kg(-1).min(-1)) prediction model was developed in the study group using multiple linear regression from the independent variables age, age2, gender, physical activity status, height, and body mass. The classification accuracy of this model was examined by cross-tabulating age and gender specific quintiles of measured and predicted CRF. RESULTS: Overall classification accuracy of the model was modest (36%); however, 83% of all subjects were either classified correctly or within one quintile of measured CRF. Extreme misclassification (e.g., misclassifying a low fit individual as high fit) was only rarely observed (0.13%). CONCLUSIONS: The present results support the concept that CRF prediction models can be used to reasonably characterize the fitness level of a cohort using data that can be obtained from a questionnaire. Accordingly, predicted CRF values may be useful as an exposure variable in large epidemiologic studies in which exercise testing is not feasible.

Exaggerated blood pressure response to dynamic exercise and risk of future hypertension.

This study examined the association between an exaggerated blood pressure response to treadmill exercise and the risk of developing hypertension. Subjects were healthy normotensive men (n = 5386) who had a baseline graded maximal exercise test between 1971 and 1982, and completed a mailed follow-up questionnaire. At follow-up in 1986, cases (n = 151) reported physician diagnosed hypertension and controls (n = 201) reported normotension. Those who had developed hypertension at follow-up were more likely to have had an exaggerated blood pressure response to exercise (OR = 2.4, 1.4-4.3). In multiple logistic regression analysis an exaggerated response was significantly associated (OR = 3.0, 1.5-6.1) with future hypertension after controlling for sitting systolic and diastolic blood pressure, weight change from age 21 to follow-up, entry age, family history of hypertension, body mass index, treadmill time, alcohol consumption, and years of follow-up. These results suggest that an exaggerated blood pressure response to exercise is independently associated with increased risk of future hypertension, and therefore, may be an important factor in determining hypertension risk.

Relationship between leisure-time physical activity and selected dietary variables in the Worcester Area Trial for Counseling in Hyperlipidemia.

We evaluated the relationship between Leisure-time Physical Activity (LTPA) and selected dietary variables in the Worcester Area Trial for Counseling in Hyperlipidemia. Subjects were males (N = 425) and females (N = 494) of mean age 49.8 and 48.4 yr, respectively. Dietary data were collected using a 7-d (7DDR) and a 24-h dietary recall (24HR), and LTPA information was obtained along with the 7DDR. Subjects were categorized into four levels of LTPA (0-29 (N = 548), 30-60 (N = 98), 61-120 (N = 137), and > or = 121 min.wk-1 (N = 136)). Results from ANOVA revealed that active subjects (LTPA > or = 30 min.wk-1) consumed fewer servings per week of meats, fried foods, sweets, and 2-4% milk and more servings of fruits, vegetables, low fat dairy products, and 0-1% milk than did inactive subjects (LTPA = 0-29 min.wk-1). Comparison of selected 7DDR-derived macro- and micronutrients revealed that active individuals consumed a lower fat and a more micronutrient dense diet than their more inactive counterparts. These findings were not materially altered by adjustment for age, gender, education, and smoking. Finally, the 7DDR results were confirmed in analyses of the 24HR data in a slightly smaller group of subjects (N = 756). The present findings have implications for etiologic investigations on outcomes that have both LTPA and diet as risk factors, and for targeting public health interventions.

Field trial of a three-dimensional activity monitor: comparison with self report.

We examined the ability of the Tritrac-R3D to estimate daily energy expenditure (EE) and characterize the physical activity patterns of free-living humans. Daily EE was estimated by the Tritrac, a 3-d physical activity log (PAL), and a 7-d recall (SDR). Digital storage of activity data by the Tritrac allowed us to tabulate the number of minutes the monitor recorded EE at specific activity intensities. Twenty-five men and women (mean age and body mass 26.7 yr, 72.5 kg) wore the monitor for 7 d. The Tritrac significantly underestimated daily EE compared with the PAL and SDR, 2552.7 vs 2915.5 kcal.d-1 and 2530.0 vs 2840.3 kcal.d-1, respectively (both, P < 0.01). Correlations between the Tritrac and PAL and the SDR were r = 0.82 and r = 0.77 (both, P < 0.001). Compared with the PAL, the Tritrac overestimated time accumulated in sedentary activities (862.7 vs 827.2 min.d-1) but underestimated time accumulated in active behaviors (37.5 vs 78.0 min.d-1). In conclusion, these data suggest the Tritrac ranks activity levels similarly to the PAL and SDR but it significantly underestimates free-living energy expenditure.