Associations of physical activity and sedentary behaviour with metabolic syndrome in rural Australian adults

Objectives

Associations between objectively measured sedentary behaviour, physical activity (PA) and metabolic syndrome (MetS)-classified using three different definitions were investigated in an inactive sample of rural Australian adults.

The assessment of physical activity by leisure-time physical activity questionnaires

The assessment of physical activity by questionnaire is currently the most popular and practical method of quantifying physical activity levels. Many questionnaires, past and present, have considered overall or habitual physical activity, which includes occupational (or nonleisure) activity. Others have focused specifically on leisure-time physical activity (LTPA) owing to the recognition of its dominating contribution to the total physical activity of developed populations. This review covers questionnaires that wholly or in part attend to LTPA levels. Typically, self-complete or interviewer-administered questionnaires record information on the types, frequency and duration of activities performed over a particular period of time. Activity-specific energy cost values, expressed in metabolic equivalents (METS) or kilocalories, are then commonly used to estimate the total energy expenditure from all activities and/or categories of activities. The validation of LTPA questionnaires has had to rely upon indirect methods, such as the assessment of cardiorespiratory fitness, body composition and activity diaries. The reporting of the reliability of questionnaires has frequently been ignored, although in cases where it has been reported, doubt exists as to whether the consistency of the questionnaire or the consistency of subjects' physical activity habits were being examined. LTPA questionnaires first appeared in the literature in the mid-1960s for use among specific, mainly middle-aged male population groups. Though they varied in their modes of scoring, periods of activity recall, and overall complexity, associations were universally observed between physical activity levels and chronic health conditions. However, it became apparent that different questionnaires did not yield the same results. In 1978, a questionnaire to assess only LTPA, the Minnesota LTPA Questionnaire, was published and despite its substantial limitations, has since established itself as the most popular option available. In recent years, shorter and simpler alternatives have been advocated, though most have yet to be adequately scrutinised. Associations have been found between LTPA and fitness levels, prompting the use of LTPA questionnaires in large-scale fitness surveys of both adults and children. Although LTPA has continued to be estimated in terms of energy expenditure, little attempt has been made to extend existing knowledge on the energy cost of physical activities. Existing values do not accommodate for individual intensities and inter-population activity variations. Consequently, standardised questionnaires are not yet viable. There exists considerable scope for further work with LTPA questionnaires, especially since the association between coronary heart disease and physical activity is now well recognised. Efforts ought to be directed at wider social groups for whom leisure-time activity may have distinct implications.     

Stability of habitual physical activity and sport participation: a longitudinal tracking study

Although one of the most important aims of physical education and public sport policy is to encourage life-long habitual physical activity, very little is known of the stability or tracking of physical activity. As a part of a larger research project called Cardiovascular Risks in Young Finns, the purpose of the study reported here was to investigate the stability (tracking) of leisuretime physical activity and sport participation at intervals of 3, 6, 9 and 12 years from age 9 to 30. The subjects, chosen by stratified random sample, represent five geographical areas of the country and eight gender-age cohorts (9, 12, 15 and 18 years old in 1980). Physical activity and sport participation were measured using a short questionnaire. Tracking was analysed by Spearman's rank order correlations and by simplex model. The tracking correlations within a 3-year interval of all individual variables were significant but rather low. The tracking correlations of the sum index of physical activity comprising five variables varied from 0.50 to 0.80 among boys and from 0.40 to 0.61 among girls. Simplex models that fitted the data very well showed higher stability coefficients than rank order correlations. With one exception the correlations of physical activity index within the 12-year interval were significant but low.     

Cross-sectional and longitudinal comparisons of self-reported and device-assessed physical activity and sedentary behaviour

ObjectivesTo examine the longitudinal associations and differences between self-reported and device-assessed physical activity (PA) and sedentary behaviour (SB), using a multifaceted statistical approach.DesignLongitudinal measurement burst.MethodsIn total, 52 university students (78% female) aged 18–38 years (mean = 21.94 ± 4.57 years) participated. The study consisted of three blocks of six days of measurement, during which participants wore an accelerometer on their wrist for the entire block, and self-reported their PA over the 6 days at the end of each block.ResultsMeaningful latent differences between methods were observed for moderate PA and SB across all three assessment periods, such that participants underreported the time spent in each activity. Bland–Altman plots revealed a positive mean difference for vigorous PA, with over-reporting increasing as mean levels increased. Negative mean differences were observed for all other intensities. Underreporting of moderate PA increased as the mean level increased, whereas for light PA and SB, underreporting decreased at high levels. Repeated measures correlations revealed a meaningful association for vigorous PA only, suggesting that as self-reported minutes increase so too do device-measured minutes.ConclusionsWe found evidence of cross-sectional and longitudinal differences and weak associations between self-reported and device-assessed PA and SB. Future work is needed to enhance the quality of self-reported methods to assess PA and SB (e.g., face and content validity), and consider improvements to the processing of device-based data.     

The impact of physical activity on sickness absence

The aim of this study was to examine whether the volume and intensity of physical activity are associated with subsequent sickness absence spells of different lengths, and how much of these associations can be explained by socioeconomic position, body mass index (BMI) and physical health functioning. Baseline data were collected by questionnaire surveys in 2000–2002 among 40–60‐year‐old employees of Helsinki City (n=6465, 79% women). Sickness absence data were derived from the employer's registers (mean follow‐up time 3.9 years). Associations of physical activity with shorter (≤14 days) and longer (>14 days) sickness absence spells were examined, using Poisson's regression analysis. The volume of physical activity was weakly and somewhat inconsistently associated with sickness absence. However, men and women who were vigorously active systematically had reduced risk of sickness absence, whereas the same volume of moderately intensive physical activity did not reduce the risk of sickness absence. Adjusting for BMI and in particular physical health functioning attenuated these associations, after which the associations lost statistical significance. The results suggest that vigorous physical activity is associated with sickness absence and may contribute to better work ability.     

Smoking history is related to free-living daily physical activity in claudicants.

PURPOSE: To determine whether smoking history was related to free-living daily physical activity in peripheral arterial occlusive disease (PAOD) patients with intermittent claudication, and whether the effect of smoking history on physical activity level persisted after controlling for group differences in ambulatory function, peripheral circulation, and body composition. METHODS: Patients were separated into three groups: those who never smoked (N = 35), those who had a lower pack-year history of smoking (< or =40 pack-yr; N = 33), and those who had a higher pack-year history (>40 pack-yr; N = 30). Free-living daily physical activity was assessed by activity monitors (an accelerometer and a pedometer) worn on each hip over 2 consecutive weekdays. Patients also were characterized on ambulatory function, peripheral circulation, and body composition because of their relationship with physical activity. RESULTS: A progressive decline (P < 0.001) in free-living daily physical activity with increasing smoking exposure was obtained from the accelerometer in the nonsmokers (482 +/- 36 kcal x d(-1); mean +/- SE), smokers with a lower pack-year history (361 +/- 37 kcal x d(-1)), and smokers with a higher pack-year history (227 +/- 23 kcal x d(-1)). A similar decline was found with the pedometer data (P < 0.001). After controlling for group differences in 6-min walk distance and in calf transcutaneous heating power, group differences in free-living daily physical activity were no longer significant. CONCLUSION: Progressive decrements in free-living daily physical activity with greater levels of smoking exposure in PAOD patients are primarily due to smoking-related impairments in ambulatory function and peripheral circulation.     

Energy expenditure from physical activity and the metabolic risk profile at menopause

PURPOSE: A sedentary lifestyle and visceral obesity are important risk factors for Type 2 diabetes and the development of cardiovascular disease, two conditions that are prevalent in women after menopause. The aim of this study was to assess the relationship between daily energy expenditure from moderate to intense physical activity and several metabolic parameters in postmenopausal women not receiving hormone therapy (HT) and to verify whether these associations are independent of the accumulation of visceral adipose tissue (AT). METHODS: Daily energy expenditure and frequency of participation in physical activity (kcal.kg(-1).15 min(-1)) were measured from a 3-d activity diary in 118 postmenopausal women (56 +/- 4 yr; 29 +/- 6 kg.m(-2)). Daily activities for each 15-min period during 24 h were categorized according to their intensity on a 1-9 scale. Category 1 indicated very low energy expenditure such as sleeping, and category 9 indicated very high energy expenditure such as running. Energy expenditure corresponding to categories 6-9 (EE6-9) was examined in relation to the metabolic risk profile. RESULTS: EE6-9 was negatively and significantly associated with body mass index (BMI) (r = -0.22, P < 0.05) and visceral AT accumulation (r = -0.18, P < 0.05). Partial correlation analyses adjusted for visceral AT showed that EE6-9 was significantly associated with systolic blood pressure (r = -0.22, P < 0.05), plasma concentrations of HDL-cholesterol (chol) (r = 0.23, P < 0.05), HDL2-chol (r = 0.22, P < 0.05), fasting glucose (r = -0.24, P < 0.05), and fasting C-peptide (r = -0.24, P = or <0.05). EE6-9 was also associated with insulin sensitivity as measured by the hyperinsulinemic-euglycemic clamp (r = 0.27, P < 0.01). CONCLUSIONS: Higher engagement in physical activity (EE6-9) is associated with a lower BMI and visceral AT accumulation and with a healthier metabolic profile in postmenopausal women. Furthermore, the associations between EE6-9 and some metabolic parameters appear to be independent of visceral AT accumulation.     

DiabetAction: changes in physical activity practice, fitness, and metabolic syndrome in type 2 diabetic and at-risk individuals.

OBJECTIVE: To study the changes in physical activity (PA) level, body composition, fitness, and health parameters after the DiabetAction program and evaluate if PA level was maintained during follow-up. DESIGN: The design of this quasi-experimental study was 1-group pre-test and post-test. SETTINGS: The study was conducted at the sport center (CEPSUM) of the University of Montreal. PARTICIPANTS: Out of the 39 subjects from different ethnic backgrounds with type 2 diabetes (T2D) or risk factors (obesity, insulin resistance, or familial history of T2D) who joined the program, 29 subjects took part in at least 50% of group sessions and performed post-intervention evaluations. Analyses were done using those 29 participants. INTERVENTION: DiabetAction is a 10-week program designed for health and exercise professionals who want to introduce type 2 diabetic (T2D) and at-risk individuals to various modalities of exercise (cardiovascular, resistance, flexibility, and balance) in order to increase activity levels. MAIN OUTCOME MEASUREMENTS: PA level, aerobic capacity, hand grip strength, dynamic balance, anthropometry, resting heart rate and blood pressure, fasting blood lipids and glucose, and metabolic syndrome prevalence. RESULTS: A significant increase in PA practice was observed after the 10-week program, and more importantly was maintained during the 6-month follow-up. Significant increases in aerobic capacity, muscular strength at the hand, and high-density lipoprotein cholesterol were also observed post-intervention. After the program, significant reductions in body weight, waist circumference, skinfolds thickness, resting heart rate, and systolic blood pressure were reported. Overall, a reduction in the prevalence of metabolic syndrome was measured post-intervention. CONCLUSION: Participants improved their fitness, cardiovascular risk factors, and PA level after their participation to the DiabetAction program, and those promising results justify further validation studies.     

Effect of strength training on resting metabolic rate and physical activity: age and gender comparisons

PURPOSE: The purpose of this study was to compare age and gender effects of strength training (ST) on resting metabolic rate (RMR), energy expenditure of physical activity (EEPA), and body composition. METHODS: RMR and EEPA were measured before and after 24 wk of ST in 10 young men (20-30 yr), 9 young women (20-30 yr), 11 older men (65-75 yr), and 10 older women (65-75 yr). RESULTS: When all subjects were pooled together, absolute RMR significantly increased by 7% (5928 +/- 1225 vs 6328 +/- 1336 kJ.d-1, P < 0.001). Furthermore, ST increased absolute RMR by 7% in both young (6302 +/- 1458 vs 6719 +/- 1617 kJ x d(-1), P < 0.01) and older (5614 +/- 916 vs 5999 +/- 973 kJ x d(-1), P < 0.05) subjects, with no significant interaction between the two age groups. In contrast, there was a significant gender x time interaction (P < 0.05) for absolute RMR with men increasing RMR by 9% (6645 +/- 1073 vs 7237 +/- 1150 kJ x d(-1), P < 0.001), whereas women showed no significant increase (5170 +/- 884 vs 5366 +/- 692 kJ x d(-1), P = 0.108). When RMR was adjusted for fat-free mass (FFM) using ANCOVA, with all subjects pooled together, there was still a significant increase in RMR with ST. Additionally, there was still a gender effect (P < 0.05) and no significant age effect (P = NS), with only the men still showing a significant elevation in RMR. Moreover, EEPA and TEE estimated with a Tritrac accelerometer and TEE estimated by the Stanford Seven-Day Physical Activity Recall Questionnaire did not change in response to ST for any group. CONCLUSIONS: In conclusion, changes in absolute and relative RMR in response to ST are influenced by gender but not age. In contrast to what has been suggested previously, changes in body composition in response to ST are not due to changes in physical activity outside of training.     

Regular physical activity increases glutathione peroxidase activity in adolescents with Down syndrome.

OBJECTIVE: The present study was designed to determine the influence of a 12-week exercise program on the activity of erythrocyte glutathione peroxidase (GPX) in adolescents with Down syndrome. DESIGN: An interventional study with before-after comparison. SETTING: Sport Medicine School, University of Cadiz (Andalusia, Spain). PATIENTS: Thirty-one male adolescents (16.3+/-1.1) with Down syndrome. None of them suffered acute medical problems at that moment and had not taken part in any physical activity program in the last 6 months. INTERVENTION: A 12-week training program with 3 days per week, consisting of warm up (15 min) followed by a main part (20 to 35 min) at a work intensity of 60% to 75% of peak heart rate (HRmax=194.5-[0.56xage]) and by a cool-down period (10 min). MAIN OUTCOME MEASUREMENT: Erythrocyte activity of GPX. RESULTS: Preexercise and postexercise GPX activity in adolescents with Down syndrome were 24.8+/-3.1 [23.1 to 26.5] U/g hemoglobin and 29.3+/-2.9 [28.1 to 30.5] U/g hemoglobin, respectively. When compared with baseline values it was increased significantly (24.8+/-3.1 vs. 29.3+/-2.9; P=0.011). CONCLUSION: Regular exercise increased significantly GPX activity. Further studies are required to assess the behavior of other antioxidant enzymes to highlight potential benefits of regular exercise in redox metabolism.     

Genetic effects on physical activity: results from the Swedish Twin Registry

PURPOSE: The aim of this study was to investigate the genetic effects on leisure-time physical activity using data from the Swedish Twin Registry. METHODS: We investigated 13,362 twin pairs (5334 monozygotic and 8028 dizygotic pairs) aged 14-46 yr. Information on leisure-time physical activity was obtained by questionnaire. Correlations and odds ratios of physical activity were calculated for males, females, and monozygotic and dizygotic twins, respectively. Structural equation modeling was used to estimate the contribution of genetic effects as well as common and nonshared environmental factors on leisure-time physical activity. RESULTS: About one third of the twins reported that they exercised regularly (26% in females and 39% in males). The correlations of physical activity were twice as high in monozygotic compared with dizygotic twins, suggesting the presence of genetic effects. The variation in physical activity due to heritage was 57% (95% confidence interval (CI) = 0.49-0.63) in males and 50% (95% CI = 0.49-0.55) in females. The common environmental influence on physical activity was very small compared with the influence from environmental factors unique to the individual. CONCLUSIONS: Our study establishes heredity as an important component behind individual differences in physical activity in adult men and women. This may be one reason behind difficulties in convincing people to adopt an active lifestyle. Still, this study shows that there is a substantial influence on physical activity from environmental factors unique to the individual.     

The relationship between injury-related fear and physical activity in people with a history of anterior cruciate ligament reconstruction

Objective: The objective of this study was to examine the relationship between fear-avoidance beliefs and physical activity (PA) in people with a history of anterior cruciate ligament reconstruction (ACLR). Design: Modified cross-sectional. Setting: Research laboratory Participants: A total of 19 participants with a history of unilateral ACLR. Main Outcome Measures: Participants completed the Fear-Avoidance Beliefs Questionnaire (FABQ), a valid and reliable measure of FAB measured across two subscales (FABQ-Sport and FABQ-Physical Activity (PA)). Higher scores indicated greater FAB. The participants were provided a wearable accelerometer to wear on the wrist for one-week to capture PA outcomes (vertical counts per minute and average steps/day). Results: Weak, non-statistically significant positive correlations were identified between average daily steps per day (11,237.7 ± 5667.7), FABQ-PA (6 ± 8; r = 0.12, p = .63) and FABQ-S (8 ± 15; r = 0.26, p = .35). Weak, non-statistically significant negative correlations were identified between vertical counts per minute (131.4 ± 141.4) and FABQ-PA (r = −0.13, p = .59) and no relationship was observed with FABQ-Sports (r = 0.00, p = .98). Conclusions: There were no significant relationships between FABs and PA. The ability for individuals to remain physically active, with measurable levels of FABs (greater than 0), may be due to other psychological variables that should be further examined.     

Joint effects of physical activity and body weight on diabetes and cardiovascular disease

Recent studies have evaluated the interrelationship between physical activity and body weight on the incidence of chronic diseases such as diabetes and cardiovascular disease (CVD). The combined effect seems to be different and to be dependent on the disease mechanism. Studies reveal that body weight has a greater influence on diabetes, and physical activity plays a greater role in CVD.