Food, Nutrition, Physical Activity, and the Prevention of Cancer: A Global Perspective

The goal of this Report is to review all the relevant research in order to generate a comprehensive series of recommendations on food, nutrition, and physical activity, designed to reduce the risk of cancer and suitable for all societies. This process is also the basis for a continuous review of the evidence.

Physical activity and enhanced fitness to improve cognitive function in older people without known cognitive impairment

Physical activity is beneficial for healthy ageing. It may also help maintain good cognitive function in older age. Aerobic activity improves cardiovascular fitness, but it is not known whether this sort of fitness is necessary for improved cognitive function.��Eleven studies of aerobic physical activity programmes for healthy people over the age of 55 years have been included in this review. Eight of these 11 studies reported that aerobic exercise interventions resulted in increased fitness of the trained group and an improvement in at least one aspect of cognitive function. The largest effects were on cognitive speed, auditory and visual attention. However, the cognitive functions which improved were not the same in each study and the majority of comparisons yielded no significant results.��The data are insufficient to show that the improvements in cognitive function which can be attributed to physical exercise are due to improvements in cardiovascular fitness.

Physical activity and mental health in ageing

This research brief examines the links between maintaining recommended levels of physical activity and positive effects on mental health and brain functioning as well as the public policy strategies in place to promote physical activity in the older population. It is based on three CARDI-funded projects:- Physical activity and core depressive symptoms in the older Irish adult population, led by Karen Morgan at the Royal College of Surgeons in Ireland.- Using aerobic exercise to promote brain plasticity, conducted by Richard Carson at Queen’s University, Belfast.- Leading dance for older people, led by Sylvia O’Sullivan at the University of Limerick.

Statistics on Obesity, Physical Activity and Diet, England 2006

This is a statistical bulletin from the Information Centre which presents a range of information on obesity, physical activity and diet, drawn together from a variety of sources. The topics covered include: overweight and obesity prevalence among adults and children physical activity levels among adults and children trends in purchases and consumption of food and drink, and energy intake health outcomes of being obese hospital admissions and prescriptions dispensed related to obesity. The bulletin also summarises government plans and targets in this area, as well as providing sources of further information and links to relevant documents.

Statistics on obesity, physical activity and diet: England, January 2008

This statistical report from the Information Centre presents a range of information on obesity, physical activity and diet, drawn together from a variety of sources. The publication also summarises government plans and targets in this area, as well as providing sources of further information and links to relevant documents and key sources. There are several notable additions to this, The Information Centre's second report on obesity, physical activity and diet. Waist circumference analysis has been included where possible to reflect the importance of using this measurement in conjunction with Body Mass Index (BMI) in order to identify those at increased risk of health problems associated with obesity. More regional data is presented with a greater number of tables providing government office region and Strategic Health Authority breakdowns. Where possible information at a more local level has been reported on.

Statistics on obesity, physical activity and diet: England - January 2008

This statistical report presents a range of information on obesity, physical activity and diet, drawn together from a variety of sources.

Statistics on Obesity, Physical Activity and Diet: England, 2010

This statistical report presents a range of information on obesity, physical activity and diet, drawn together from a variety of sources. The topics covered include: Overweight and obesity prevalence among adults and children; Physical activity levels among adults and children; Trends in purchases and consumption of food and drink and energy intake; and Health outcomes of being overweight or obese. refer to the resource

Statistics on obesity, physical activity and diet: England, February 2009

The Information Centre has released a report and statistics on obesity, physical activity, and diet in England.

Statistics on Obesity, Physical Activity and Diet: England, 2011

The Information Centre has published 'Statistics on Obesity, Physical Activity and Diet: England, 2011'. This statistical report presents a range of information on obesity, physical activity and diet, drawn together from a variety of sources. The topics covered include: overweight and obesity prevalence among adults and children; physical activity levels among adults and children; trends in purchases and consumption of food and drink and energy intake; and health outcomes of being overweight or obese.

Gut Microbiota Composition in Male Rat Models under Different Nutritional Status and Physical Activity and Its Association with Serum Leptin and Ghrelin Levels.

BACKGROUND Several evidences indicate that gut microbiota is involved in the control of host energy metabolism. OBJECTIVE To evaluate the differences in the composition of gut microbiota in rat models under different nutritional status and physical activity and to identify their associations with serum leptin and ghrelin levels. METHODS IN A CASE CONTROL STUDY, FORTY MALE RATS WERE RANDOMLY ASSIGNED TO ONE OF THESE FOUR EXPERIMENTAL GROUPS: ABA group with food restriction and free access to exercise; control ABA group with food restriction and no access to exercise; exercise group with free access to exercise and feed ad libitum and ad libitum group without access to exercise and feed ad libitum. The fecal bacteria composition was investigated by PCR-denaturing gradient gel electrophoresis and real-time qPCR. RESULTS In restricted eaters, we have found a significant increase in the number of Proteobacteria, Bacteroides, Clostridium, Enterococcus, Prevotella and M. smithii and a significant decrease in the quantities of Actinobacteria, Firmicutes, Bacteroidetes, B. coccoides-E. rectale group, Lactobacillus and Bifidobacterium with respect to unrestricted eaters. Moreover, a significant increase in the number of Lactobacillus, Bifidobacterium and B. coccoides-E. rectale group was observed in exercise group with respect to the rest of groups. We also found a significant positive correlation between the quantity of Bifidobacterium and Lactobacillus and serum leptin levels, and a significant and negative correlation among the number of Clostridium, Bacteroides and Prevotella and serum leptin levels in all experimental groups. Furthermore, serum ghrelin levels were negatively correlated with the quantity of Bifidobacterium, Lactobacillus and B. coccoides-Eubacterium rectale group and positively correlated with the number of Bacteroides and Prevotella. CONCLUSIONS Nutritional status and physical activity alter gut microbiota composition affecting the diversity and similarity. This study highlights the associations between gut microbiota and appetite-regulating hormones that may be important in terms of satiety and host metabolism.

Physical activity and energy expenditure in haemodialysis patients: an international survey.

BACKGROUND: The assessment of physical activity and energy expenditure is relevant to the care of maintenance haemodialysis (MHD) patients. In the current study, we aimed to evaluate measurements of physical activity and energy expenditure in MHD patients from different centres and countries and explored the predictors of physical activity in these patients.¦METHODS: In this cross-sectional multicentre study, 134 MHD patients from four countries (France, Switzerland, Sweden and Brazil) were included. The physical activity was evaluated for 5.0 ± 1.4 days (mean ± SD) by a multisensory device (SenseWear Armband) and comprised the assessment of number of steps per day, activity-related energy expenditure (activity-related EE) and physical activity level (PAL).¦RESULTS: The number of steps per day, activity-related EE and PAL from the MHD patients were compatible with a sedentary lifestyle. In addition, all parameters were significantly lower in dialysis days when compared to non-dialysis days (P < 0.001). The multivariate regression analysis revealed that diabetes and higher body mass index (BMI) predicted a lower PAL and older age and diabetes predicted a reduced number of steps.¦CONCLUSIONS: The physical activity parameters of MHD patients were compatible with a sedentary lifestyle. This inactivity was worsened by aging, diabetes and higher BMI. Our results indicate that MHD patients should be encouraged by the health care team to increase their physical activity.

Assessment of Physical Activity and Energy Expenditure by GPS Combined With Accelerometry in Real-Life Conditions.

Background: Physical activity (PA) and related energy expenditure (EE) is often assessed by means of a single technique. Because of inherent limitations, single techniques may not allow for an accurate assessment both PA and related EE. The aim of this study was to develop a model to accurately assess common PA types and durations and thus EE in free-living conditions, combining data from global positioning system (GPS) and 2 accelerometers. Methods: Forty-one volunteers participated in the study. First, a model was developed and adjusted to measured EE with a first group of subjects (Protocol I, n = 12) who performed 6 structured and supervised PA. Then, the model was validated over 2 experimental phases with 2 groups (n = 12 and n = 17) performing scheduled (Protocol I) and spontaneous common activities in real-life condition (Protocol II). Predicted EE was compared with actual EE as measured by portable indirect calorimetry. Results: In protocol I, performed PA types could be recognized with little error. The duration of each PA type could be predicted with an accuracy below 1 minute. Measured and predicted EE were strongly associated (r = .97, P < .001). Conclusion: Combining GPS and 2 accelerometers allows for an accurate assessment of PA and EE in free-living situations.

Don't stop, don't stop: physical activity and adolescence.

The aim was to assess whether physical activity decreases during adolescence, whether this decrease depends on the gender, whether physical activity is related to personal, family, and school factors, and whether it is associated to healthy behaviors in a sample of adolescents. Data were drawn from a survey carried out in 2001 among in-school Catalan adolescents aged 14-19 years. Subjects were divided in two groups: physical activity (N=4,185, 43.5% females) and no-physical activity (N=2,743; 68.9% females). Personal, family, school and lifestyles' variables were compared. Chi-square and Odds Ratio were used to compare qualitative variables and Student's t to compare quantitative variables. For the multivariate analysis, all statistically significant variables in the univariate analysis in each of the four groups of variables (plus age) were introduced in a non-conditioned multiple regression. Analysis was performed separately by gender. Physical activity was significantly more frequent among males and decreased with age. Globally, physically active youth perceived themselves as healthier and happier with their body image, they showed a better relationship with their parents, were better connected to school, and exhibited healthier lifestyles. As physical activity has important benefits on health, health professionals dealing with adolescents should encourage adolescents to keep practicing. This message must be specially directed to females.

Moderate to vigorous physical activity and sedentary time and cardiometabolic risk factors in children and adolescents.

CONTEXT: Sparse data exist on the combined associations between physical activity and sedentary time with cardiometabolic risk factors in healthy children. OBJECTIVE: To examine the independent and combined associations between objectively measured time in moderate- to vigorous-intensity physical activity (MVPA) and sedentary time with cardiometabolic risk factors. DESIGN, SETTING, AND PARTICIPANTS: Pooled data from 14 studies between 1998 and 2009 comprising 20 871 children (aged 4-18 years) from the International Children's Accelerometry Database. Time spent in MVPA and sedentary time were measured using accelerometry after reanalyzing raw data. The independent associations between time in MVPA and sedentary time, with outcomes, were examined using meta-analysis. Participants were stratified by tertiles of MVPA and sedentary time. MAIN OUTCOME MEASURES: Waist circumference, systolic blood pressure, fasting triglycerides, high-density lipoprotein cholesterol, and insulin. RESULTS: Times (mean [SD] min/d) accumulated by children in MVPA and being sedentary were 30 (21) and 354 (96), respectively. Time in MVPA was significantly associated with all cardiometabolic outcomes independent of sex, age, monitor wear time, time spent sedentary, and waist circumference (when not the outcome). Sedentary time was not associated with any outcome independent of time in MVPA. In the combined analyses, higher levels of MVPA were associated with better cardiometabolic risk factors across tertiles of sedentary time. The differences in outcomes between higher and lower MVPA were greater with lower sedentary time. Mean differences in waist circumference between the bottom and top tertiles of MVPA were 5.6 cm (95% CI, 4.8-6.4 cm) for high sedentary time and 3.6 cm (95% CI, 2.8-4.3 cm) for low sedentary time. Mean differences in systolic blood pressure for high and low sedentary time were 0.7 mm Hg (95% CI, -0.07 to 1.6) and 2.5 mm Hg (95% CI, 1.7-3.3), and for high-density lipoprotein cholesterol, differences were -2.6 mg/dL (95% CI, -1.4 to -3.9) and -4.5 mg/dL (95% CI, -3.3 to -5.6), respectively. Geometric mean differences for insulin and triglycerides showed similar variation. Those in the top tertile of MVPA accumulated more than 35 minutes per day in this intensity level compared with fewer than 18 minutes per day for those in the bottom tertile. In prospective analyses (N = 6413 at 2.1 years' follow-up), MVPA and sedentary time were not associated with waist circumference at follow-up, but a higher waist circumference at baseline was associated with higher amounts of sedentary time at follow-up. CONCLUSION: Higher MVPA time by children and adolescents was associated with better cardiometabolic risk factors regardless of the amount of sedentary time.