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Background: Most adult patients with congenital heart disease (CHD) have reduced aerobic exercise capacity. Their habitual physical activity (PA) level is, however, less well studied. In this study habitual PA level in a cohort of adults with CHD compared to healthy age and gender matched controls was investigated. Methods: Eighty adults with CHD, classed as either “complex” (n=40) or “simple” (n=40), and 42 healthy controls were studied with a combined uniaxial accelerometer and heart rate monitor worn during 4 consecutive days. We analysed 1) the time spent during ≥ moderate/vigorous PA, 2) accelerometer counts/day and 3) to what extent the World Health Organization recommendations on PA were reached. Results: Patients with simple lesions had higher total accelerometer counts/day compared to both patients with complex lesions and controls (simple lesions; median (IQR) 107.7(63.4) vs. complex lesions; 72.8(53.5) and controls; 78.3(49.6), p≤0.001 and p=0.002). Furthermore, no differences in time spent during ≥ moderate-to-vigorous PA was found between patients and controls. In addition 46% of the patients with simple lesions, 55% of the patients with complex lesions and 44% of the controls did not reach the W.H.O.-recommended level of daily PA, but no significant differences between groups were found. There were no differences in achieving recommended PA level between patients in NYHA I vs. NYHA II+III. Conclusions: Patients with CHD follow the same PA-level pattern as the general population. Broad strategies promoting an active lifestyle are needed across the population and especially for patients with complex CHD and impaired NYHA class.

Purpose: Many adults with congenital heart disease have reduced exercise capacity but only little is known about habitual physical activityin this group. The aim of this study was to investigate habitual physicalactivity level in a cohort of adults with congenital heart disease. Methods: Seventy-five adult patients (29 females) aged 37.2±15.1 yearswith congenital heart disease classed as either simple or complex were studied with a combined accelerometer and heart rate monitor (Actiheart). The patients carried the Actiheart during 5 consecutive days, and where encouraged to proceed with their usual daily activities. Data was analysed with the Actiheart Software version 2.2. A mean ofPhysical Activity Level (PAL) (PAL=Total Energy Expenditure/Resting Energy Expenditure) over 4 days was calculated. PAL < 1.45 was categorised as low, 1.45-1.6 as moderate and >1.6 as high. Results: Forty-three patients (57,3%) had low PAL, 18 (24%) moderate PAL and 14 (16,7%) high PAL. PAL was lower in women compared to men (1.32±0.10 vs. 1.52±0.18, p < 0.001). PAL was higher in patients withsimple compared with complex congenital heart disease (1.50±0.21 vs. 1.39±0.14, p = 0.019). Among men, active smoking (p=0.015) and lower age (p=0.04) were independently associated with higher PAL, whereas no such associations were observed among women. Conclusion: The majority of the observed patients had low PAL and women had lower PAL compared to men. PAL was related to complexity ofheart lesion. Efforts to increase habitual physical activity may beindicated in this population, especially in women and patients withcomplex congenital heart disease.

To accurately examine associations of physical activity (PA) with disease outcomes, a valid method of assessing free-living activity is required. We examined the validity of a brief PA questionnaire (PAQ) used in the European Prospective Investigation into Cancer and Nutrition (EPIC). PA energy expenditure (PAEE) and time spent in moderate and vigorous physical activity (MVPA) was measured in 1,941 healthy individuals from 10 European countries using individually-calibrated combined heart-rate and movement sensing. Participants also completed the short EPIC-PAQ, which refers to past year's activity. Pearson (r) and Spearman (sigma) correlation coefficients were calculated for each country, and random effects meta-analysis was used to calculate the combined correlation across countries to estimate the validity of two previously- and one newly-derived ordered, categorical PA indices ("Cambridge index", "total PA index", and "recreational index") that categorized individuals as inactive, moderately inactive, moderately active, or active. The strongest associations with PAEE and MVPA were observed for the Cambridge index (r = 0.33 and r = 0.25, respectively). No significant heterogeneity by country was observed for this index (I-2 = 36.3%, P = 0.12; I-2 = 0.0%, P = 0.85), whereas heterogeneity was suggested for other indices (I-2 > 48%, P < 0.05, I-2 > 47%, P < 0.05). PAEE increased linearly across self-reported PA categories (P for trend < 0.001), with an average difference of approximately 460 kJ/d for men and 365 kJ/d for women, between categories of the Cambridge index. The EPIC-PAQ is suitable for categorizing European men and women into four distinct categories of overall physical activity. The difference in PAEE between categories may be useful when estimating effect sizes from observational research.

Background: Overweight and obesity during pregnancy raise the risk of gestational diabetes and birth complications. Lifestyle factors like physical activity may decrease these risks through beneficial effects on glucose homeostasis. Here we examined physical activity patterns and their relationships with measures of glucose homeostasis in late pregnancy compared to non-pregnant women. Methods: Normal weight and overweight women without diabetes (N=108; aged 25-35 years) were studied; 35 were pregnant (in gestational weeks 28-32) and 73 were non-pregnant. Insulin sensitivity and beta-cell response were estimated from an oral glucose tolerance test. Physical activity was measured during 10-days of free-living using a combined heart rate sensor and accelerometer. Total (TEE), resting (REE), and physical activity (PAEE) energy expenditure were measured using doubly-labeled water and expired gas indirect calorimetry. Results: Total activity was associated with reduced first-phase insulin response in both pregnant (Regression r2=0.11; Spearman r=-0.47; p=0.007) and non-pregnant women (Regression r2=0.11; Spearman; r=-0.36; p=0.002). Relative to non-pregnant women, pregnant women were estimated to have secreted 67% more insulin and had 10% lower fasting glucose than non-pregnant women. Pregnant women spent 13% more time sedentary, 71% less time in moderate-to-vigorous intensity activity, had 44% lower objectively measured total activity,and 12% lower PAEE than non-pregnant women. Correlations did not differ significantly for any comparison between physical activity subcomponents and measures of insulin sensitivity or secretion. Conclusions: Our findings suggest that physical activity conveys similar benefits on glucose homeostasis in pregnant and non-pregnant women, despite differences in subcomponents of physical activity.

ackground: Few studies have compared the validity of objective measures of physical activity energy expenditure (PAEE) in pregnant and non-pregnant women. PAEE is commonly estimated with accelerometers attached to the hip or waist, but little is known about the validity and participant acceptability of wrist attachment. The objectives of the current study were to assess the validity of a simple summary measure derived from a wrist-worn accelerometer (GENEA, Unilever Discover, UK) to estimate PAEE in pregnant and non-pregnant women, and to evaluate participant acceptability. less thanbrgreater than less thanbrgreater thanMethods: Non-pregnant (N = 73) and pregnant (N = 35) Swedish women (aged 20-35 yrs) wore the accelerometer on their wrist for 10 days during which total energy expenditure (TEE) was assessed using doubly-labelled water. PAEE was calculated as 0.96TEE-REE. British participants (N = 99; aged 22-65 yrs) wore accelerometers on their non-dominant wrist and hip for seven days and were asked to score the acceptability of monitor placement (scored 1 [least] through 10 [most] acceptable). less thanbrgreater than less thanbrgreater thanResults: There was no significant correlation between body weight and PAEE. In non-pregnant women, acceleration explained 24% of the variation in PAEE, which decreased to 19% in leave-one-out cross-validation. In pregnant women, acceleration explained 11% of the variation in PAEE, which was not significant in leave-one-out cross-validation. Median (IQR) acceptability of wrist and hip placement was 9(8-10) and 9(7-10), respectively; there was a within-individual difference of 0.47 (p andlt; .001). less thanbrgreater than less thanbrgreater thanConclusions: A simple summary measure derived from a wrist-worn tri-axial accelerometer adds significantly to the prediction of energy expenditure in non-pregnant women and is scored acceptable by participants., Original Publication:Vincent T van Hees, Frida Renstrom, Antony Wright, Anna Gradmark, Michael Catt, Kong Y Chen, Marie Löf, Les Bluck, Jeremy Pomeroy, Nicholas J Wareham, Ulf Ekelund, Soren Brage and Paul W Franks, Estimation of Daily Energy Expenditure in Pregnant and Non-Pregnant Women Using a Wrist-Worn Tri-Axial Accelerometer, 2011, PLoS ONE, (6), 7.http://dx.doi.org/10.1371/journal.pone.0022922Licensee: Public Library of Science (PLoS)http://www.plos.org

Background Maternal characteristics during pregnancy such as BMI, weight gain, and glucose tolerance have been associated with anthropometric traits in their offspring. Here we extend these observations looking at the associations between maternal body composition, weight gain by trimester, and glucose tolerance and anthropometrics in their infants. Materials and methods Participants were 31 (16 female) singleton babies and their mothers (aged 25-35 yrs) in the eastern area of the county of Västerbotten in Sweden. Maternal weight was measured at gestational weeks 10-12, 28-32, and 37-41. Maternal body composition was assessed using isotope dilution and gestational glucose tolerance was assessed with a 2-hour, 75-gram oral glucose challenge at 28-32 weeks gestation. Infant body composition was assessed at 11-19 weeks of age using air- displacement plethysmography. The relationships between maternal and infant variables were assessed with Spearman correlations. Results Mid-pregnancy weight gain was significantly positively related to fat mass (r=0.41, p= 0.022) but not fat-free mass whereas late-pregnancy weight gain was significantly positively related to infant fat-free mass (r=0.37, p=0.04) but not fat mass. Maternal weight, body composition, or glucose tolerance was not significantly related to infant body composition. Early infancy growth (weight-for-length growth z-score) from 0 to 4 months was significantly related to infant percent fat (r=0.48, p=0.006). Gestational weight gain by trimester is differently related to body composition assessed in early infancy. Additionally, greater early infancy growth is associated with higher percent fat at 4 months of age. Both of these findings might identify targets for interventions conducted in pregnancy and during early life.

Background: Few studies have compared the validity of objective measures of physical activity energy expenditure (PAEE) in pregnant and non-pregnant women. PAEE is commonly estimated with accelerometers attached to the hip or waist, but little is known about the validity and participant acceptability of wrist attachment. The objectives of the current study were to assess the validity of a simple summary measure derived from a wrist-worn accelerometer (GENEA, Unilever Discover, UK) to estimate PAEE in pregnant and non-pregnant women, and to evaluate participant acceptability. Methods: Non-pregnant (N = 73) and pregnant (N = 35) Swedish women (aged 20-35 yrs) wore the accelerometer on their wrist for 10 days during which total energy expenditure (TEE) was assessed using doubly-labelled water. PAEE was calculated as 0.96TEE-REE. British participants (N = 99; aged 22-65 yrs) wore accelerometers on their non-dominant wrist and hip for seven days and were asked to score the acceptability of monitor placement (scored 1 [least] through 10 [most] acceptable). Results: There was no significant correlation between body weight and PAEE. In non-pregnant women, acceleration explained 24% of the variation in PAEE, which decreased to 19% in leave-one-out cross-validation. In pregnant women, acceleration explained 11% of the variation in PAEE, which was not significant in leave-one-out cross-validation. Median (IQR) acceptability of wrist and hip placement was 9(8-10) and 9(7-10), respectively; there was a within-individual difference of 0.47 (p < .001). Conclusions: A simple summary measure derived from a wrist-worn tri-axial accelerometer adds significantly to the prediction of energy expenditure in non-pregnant women and is scored acceptable by participants.

Large-scale aetiological studies of obesity and its pathological consequences require accurate measurements of adipose mass, distribution and subtype. Here, we compared the validity of three abdominal obesity assessment methods (dual-energy X-ray absorptiometry (DXA), ultrasound and anthropometry) against the gold-standard method of computed tomography (CT) in twenty-nine non-diseased middle-aged men (BMI 26.5 (sd 3.1) kg/m(2)) and women (BMI 25.5 (sd 3.2) kg/m(2)). Assessments of adipose mass (kg) and distribution (total subcutaneous (TSAT), superficial subcutaneous (SSAT), deep subcutaneous (DSAT) and visceral (VAT)) were obtained. Spearman's correlations were performed adjusted for age and sex. VAT area that was assessed using ultrasound (r 0.79; P < 0.0001) and waist circumference (r 0.85; P < 0.0001) correlated highly with VAT from CT, as did BMI (r 0.67; P < 0.0001) and DXA (r 0.70; P < 0.0001). DXA (r 0.72; P = 0.0004), BMI (r 0.71; P = 0.0003), waist circumference (r 0.86; P < 0.0001) and ultrasound (r 0.52; P = 0.015) were less strongly correlated with CT TSAT. None of the comparison measures of DSAT was strongly correlated with CT DSAT (all r approximately 0.50; P < 0.02). BMI (r 0.76; P < 0.0001), waist circumference (r 0.65; P = 0.002) and DXA (r 0.75; P < 0.0001) were all fairly strongly correlated with the CT measure of SSAT, whereas ultrasound yielded a weaker yet statistically significant correlation (r 0.48; P = 0.03). Compared with CT, visceral and subcutaneous adiposity can be assessed with reasonable validity using waist circumference and BMI, respectively. Ultrasound or DXA does not generally provide substantially better measures of these traits. Highly valid assessments of DSAT do not appear to be possible with surrogate measures. These findings may help guide the selection of measures for epidemiological studies of obesity.