scholarly journals Quantifier l'utilisation que les Canadiens font d'Internet comme source d'information sur la modification de certains comportements, identifiés comme facteurs de risque modifiables du cancer

2013 ◽  
Vol 33 (3) ◽  
pp. 141-146
Author(s):  
CG Richardson ◽  
LG Hamadani ◽  
C Gotay
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Healthy Eating ◽  
Facteurs De Risque ◽  
Mots Clés ◽  
Quit Smoking ◽  
Transfert Des Connaissances ◽  
Prévention Du Cancer ◽  
La Modification ◽  
Donne Lieu

Introduction La présente étude visait à quantifier la fréquence à laquelle les Canadiens consultent Internet pour trouver des renseignements sur la modification de comportements qui sont des facteurs de risque modifiables du cancer, et à déterminer le moment choisi pour effectuer leurs recherches. Méthodologie Nous avons utilisé l'outil générateur de mots clés Keywords du programme AdWords de Google pour estimer le nombre de recherches effectuées sur Internet au Canada entre juillet 2010 et mai 2011 pour trouver des renseignements associés aux mots clés anglais « physical activity/exercise », « healthy eating/weight loss » et « quit smoking ». Résultats Dans le cas de « physical activity/exercise », 663 mots clés connexes ont donné lieu à 117 951 699 recherches. Pour ce qui est de « healthy eating/weight loss », 687 termes apparentés ont conduit à 98 277 954 recherches. « Quit smoking » a été associé à 759 mots clés, qui ont mené à 31 688 973 recherches. Toutes ces recherches ont atteint un pic en janvier 2011. Conclusion De nombreux Canadiens font, surtout en janvier, des recherches sur Internet à propos de certains changements de comportements de santé. Ces changements étant susceptibles de favoriser la prévention du cancer, les principaux intervenants dans ce domaine devraient en tirer profit, définir des priorités en matière de transfert des connaissances et travailler avec les organismes de santé à l'élaboration de stratégies fondées sur des données probantes, stratégies favorisant l'utilisation d'Internet pour encourager ces changements de comportement.

scholarly journals Quantifying Canadians' use of the Internet as a source of information on behavioural risk factor modifications related to cancer prevention

2013 ◽  
Vol 33 (3) ◽  
pp. 123-128 ◽  
Author(s):  
CG Richardson ◽  
LG Hamadani ◽  
C Gotay
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Cancer Prevention ◽  
Behaviour Change ◽  
Healthy Eating ◽  
The Internet ◽  
Quit Smoking ◽  
Key Stakeholders ◽  
Internet Searches ◽  
Use Of The Internet

Introduction The purpose of this study was to quantify the frequency and timing of Canadians' Internet searches for information on modifying cancer prevention-related behavioural risk factors. Methods We used the Google AdWords Keyword tool to estimate the number of Internet searches in Canada from July 2010 to May 2011 for content associated with the keywords "physical activity / exercise", "healthy eating / weight loss" and "quit smoking". Results For ''physical activity / exercise,'' 663 related keywords resulted in 117 951 699 searches. For ''healthy eating / weight loss,'' 687 related search terms yielded 98 277 954 searches. ''Quit smoking'' was associated with 759 related keywords with 31 688 973 searches. All search patterns noticeably peaked in January 2011. Conclusion Many Canadians are actively searching for information on the Internet to support health behaviour change associated with cancer prevention, especially during the month of January. To take advantage of this opportunity, key stakeholders in cancer prevention need to identify knowledge translation priorities and work with health agencies to develop evidence-based strategies to support Internet-facilitated behaviour change.

Abstract P073: Insufficient and Poor Sleep are Associated with Barriers to Healthy Eating and Lower Physical Activity: Baseline Characteristics of the EMPOWER Study

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Christopher E Kline ◽  
Patrick J Strollo ◽  
Eileen R Chasens ◽  
Bonny Rockette-Wagner ◽  
Andrea Kriska ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Sleep Quality ◽  
Lifestyle Intervention ◽  
Body Fat ◽  
Healthy Eating ◽  
Perceived Barriers ◽  
Poor Sleep ◽  
Body Habitus ◽  
Overweight Adults

Background: Sleep is emerging as an important factor that impacts dietary habits, physical activity, and metabolism. However, minimal attention is typically given to sleep in traditional lifestyle interventions. The purpose of these analyses was to examine baseline associations between sleep and physical activity and perceived barriers to healthy eating, which are two common lifestyle intervention targets, in a sample of apparently healthy adults enrolled in a behavioral weight loss intervention study. Methods: 150 overweight adults (51.1±10.2 y; 91% female; 79% Caucasian) participated in a 12-month lifestyle intervention that featured adaptive ecological momentary assessment. Sleep, physical activity, barriers to healthy eating and body habitus/composition were assessed prior to the intervention. Objective sleep was estimated with 7 days of wrist-worn actigraphy (Philips Actiwatch 2); sleep onset latency (SOL; the amount of time it takes to fall asleep after going to bed), sleep efficiency (SE; the percentage of time in bed that is spent asleep), and total sleep time (TST; total time spent asleep) served as the primary actigraphic sleep variables. Subjective sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI). Physical activity was assessed with 7 days of waist-worn accelerometry (ActiGraph GT3x). Perceived barriers to healthy eating were assessed with the Barriers to Healthy Eating questionnaire. Body mass index (BMI) served as the measure of body habitus, and body fat was assessed with bioelectrical impedance. Results: Mean BMI and body fat for the sample were 34.0±4.6 kg/m2 and 43.7±5.5%, respectively. Mean TST was 6.6±0.8 h/night; approximately 23% of the sample averaged less than 6 hours of sleep. Mean SOL and SE for the sample were 15.3±16.2 min and 85.7±6.1%, respectively. Based on the PSQI, 52.0% of the sample had poor sleep quality. Following adjustment for age, sex, and race, longer SOL was associated with fewer steps/day (β=-.19, p=.02) and less time spent in moderate to vigorous physical activity (MVPA; β=-.16, p=.03), and lower SE was related to less MVPA (β=.15, p=.04). Shorter TST was associated with greater barriers to healthy eating (β=-.16, p=.05). Longer SOL was associated with higher BMI (β=.16, p=.05) and body fat % (β=.15, p=.03), and lower SE was related to higher body fat % (β=-.13, p=.06). Conclusions: Short sleep duration and sleep disturbance were highly prevalent in this sample of overweight adults. Significant associations were observed between sleep and measures of body habitus/composition and eating and physical activity habits. Efforts to improve sleep during a behavioral intervention for weight loss may reduce barriers to healthy eating and improve physical activity habits as well as weight loss outcomes.

scholarly journals Acceptability of proactive telephone recruitment to a telephone support service to encourage healthy eating, physical activity and weight loss

2012 ◽  
Vol 36 (3) ◽  
pp. 295-296 ◽  
Author(s):  
Luke Wolfenden ◽  
Christine L. Paul ◽  
Flora Tzelepis ◽  
Megan Freund ◽  
John Wiggers ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Healthy Eating ◽  
Support Service ◽  
Telephone Support

Abstract P142: Smokers Can Lose Weight When They Quit Smoking

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Charlotta H Pisinger ◽  
Ulla Toft ◽  
Torben Jørgensen
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Smoking Cessation ◽  
High Education ◽  
Weight Gain ◽  
Tobacco Consumption ◽  
Quit Smoking ◽  
Quitting Smoking ◽  
Predictors Of Weight Loss

Background: Smoking is one of the major risk factors of CVD. It is well-known that smokers increase weight when they quit smoking, and concomitant weight increase after smoking cessation may blunt beneficial effects of smoking cessation on e.g. glucose metabolism. However, not all smokers gain weight. To our knowledge, predictors of weight-loss after smoking cessation have not previously been investigated. Methods: in a large population-based study, the Inter99 study, 2,408 daily smokers were included at baseline. Out of these, 262 attended the five year follow-up and reported that they had not smoked for at least 12 months. Participants completed self-report questionnaires at baseline and follow-up. In multivariable logistic regression analyses we investigated predictors of weight-loss. Results: A total of 17.6% of the quitters had lost weight from baseline to 5 years follow-up. Neither sex, age, number of daily meals, energy intake, dietary quality, physical activity, alcohol consumption, nor change in physical activity or alcohol consumption from baseline to five year follow-up was associated with weight-loss at five year follow-up. Quitters with high education had significantly higher probability of weight-loss compared to quitters with low education (OR=3.88(1.04–14.50), p=0.044). Increasing BMI at baseline increased (OR=1.20(1.06–1.36), p=0.004) and increasing tobacco consumption decreased (OR=0.93(0.87–0.99), p=0.038) the probability of weight-loss. Furthermore, quitters who reported a healthier diet at five-year follow-up than at baseline had increased probability of weight-loss (OR=3.23(1.07–9.82), p=0.038). The mean weight-gain in quitters with normal baseline BMI was 5.66kg (±4.8), quitters who were overweight at baseline gained 5.32kg (±7.0) and quitters who were obese gained 1.98kg (±8.3), p=0.038. Conclusion: Weight-loss after quitting smoking is feasible and was achieved by about two out of ten quitters. High BMI, high education and low tobacco consumption at baseline and change to a healthier diet predicted weight loss in daily smokers who had quit for at least 12 months. Discussion: Obese smokers who had quit had the lowest weight-gain. A reason could be that normal-weight smokers are used to eat whatever they want, whereas obese smokers are used to focus on what and how much they eat. Obese smokers should definitely not be advised against quitting smoking in fear of further weight-gain. The large positive cardiovascular health effects of quitting overshadow the negative health effects of a small weight gain, and this study shows that weight-loss after smoking cessation is feasible, especially in obese smokers.

How to Maintain a Healthy Body Weight

2006 ◽  
Vol 76 (4) ◽  
pp. 208-215 ◽  
Author(s):  
Astrup
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Weight Loss ◽  
Body Weight ◽  
Glycemic Index ◽  
Dairy Products ◽  
Weight Control ◽  
Healthy Body Weight ◽  
Healthy Body

The epidemic of both obesity and type 2 diabetes is due to environmental factors, but the individuals developing the conditions possess a strong genetic predisposition. Observational surveys and intervention studies have shown that excess body fatness is the major environmental cause of type 2 diabetes, and that even a minor weight loss can prevent its development in high-risk subjects. Maintenance of a healthy body weight in susceptible individuals requires 45–60 minutes physical activity daily, a fat-reduced diet with plenty of fruit, vegetables, whole grain, and lean meat and dairy products, and moderate consumption of calorie containing beverages. The use of table values to predict the glycemic index of meals is of little – if any – value, and the role of a low-glycemic index diet for body weight control is controversial. The replacement of starchy carbohydrates with protein from lean meat and lean dairy products enhances satiety, and facilitate weight control. It is possible that dairy calcium also promotes weight loss, although the mechanism of action remains unclear. A weight loss of 5–10% can be induced in almost all obese patients providing treatment is offered by a professional team consisting of a physician and dieticians or nurses trained to focus on weight loss and maintenance. Whereas increasing daily physical activity and regular exercise does not significantly effect the rate of weight loss in the induction phase, it plays an important role in the weight maintenance phase due to an impact on daily energy expenditure and also to a direct enhancement of insulin sensitivity.

Parents Are Powerful Models of Healthy Eating and Engagement in Physical Activity

2014 ◽  
Author(s):  
R.A. Natale ◽  
S.E. Messiah ◽  
L. Asfour ◽  
S.B. Uhlhorn ◽  
A. Delamater ◽  
...  
Keyword(s):  
Physical Activity ◽  
Healthy Eating
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