scholarly journals 13 / LIFE STRESSORS, UNHEALTHY LIFESTYLE BEHAVIOURS AND THE HEALTH OF WOMEN PREVIOUSLY TREATED FOR CANCER: RESULTS FROM THE AUSTRALIAN WOMEN’S WELLNESS AFTER CANCER PROGRAM

2018 ◽  
Author(s):  
Charrlotte Seib
Keyword(s):  
Life Stressors ◽  
Unhealthy Lifestyle ◽  
Lifestyle Behaviours ◽  
Cancer Program ◽  
Previously Treated ◽  
After Cancer

scholarly journals Smoking and associated unhealthy lifestyle behaviours in patients with chronic cardiac diseases during COVID-19 related lockdown

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
F Chague ◽  
M Boulin ◽  
JC Eicher ◽  
F Bichat ◽  
M Saint-Jalmes ◽  
...  
Keyword(s):  
Screen Time ◽  
University Hospital ◽  
Weight Increase ◽  
Phone Call ◽  
P Value ◽  
Time Increase ◽  
Unhealthy Lifestyle ◽  
Lifestyle Behaviours ◽  
Coronary Syndrome ◽  
The Impact

Abstract Funding Acknowledgements Type of funding sources: Public hospital(s). Main funding source(s): Dijon University Hospital France OnBehalf CLEO-CD Background   Lockdown can affect tobacco smoking (TS) behaviours.  Purpose To evaluate the impact of lockdown on (TS) and associated lifestyle behaviours in patients with Chronic coronary syndrome (CCS) and congestive heart failure (CHF) Methods CCS and CHF patients were invited to answer to a phone-call questionnaire during the 1st COVID-19 lockdown start  Results (Table) 343 questionnaires were fit for analysis, 43 (12.5%) were current smokers (CS). CS were younger (p < 0.001), none stopped and 13 increased their consumption (main reasons were stress and boredom). CS felt more often cramped (p = 0.023). CS who increased their TS consumption showed a trend toward a higher rate of unhealthy lifestyle behaviours Conclusions During the lockdown, more than ¼ of CS with CCS or CHF increased their TS consumption and none quitted. Moreover, TS was often associated with other deleterious behaviours increasing their risk for short and long term Main results Total Non-Smokers Smokers p* N(%) 344 301 43 Age, years 67.7 ± 12.8 69.2 ± 12.2 57.2 ± 12.1 <0.001 Men/Women 229/115 197/104 32/11 0.300 CCS/CHF 220/124 185/116 36/7 0.004 Urban/Rural 163/181 137/164 26/17 0.073 Living alone at home 83(24.3) 68(22.7) 15(34.9) 0.089 COVID screening (PCR) 11(3.2) 7(2.3) 4(9.3) 0.037 Feeling cramped 19(5.5) 13(4.4) 6(14.0) 0.023 Feeling less well 75(21.9) 65(21.7) 10(23.8) 0.842 K6 ≥ 5 81(23.7) 70(23.5) 11(25.6) 0.845 Physical activity decrease 146(42.6) 125(42.1) 21(48.8) 0.323 Screen time increase 154(45.0) 130(43.5) 24(55.8) 0.100 Alcohol consumption increase 14(5.5) 11(4.9) 3(7.5) 0.419 Sleep change 83(24.6) 68(22.5) 15(39.5) 0.083 Weight increase 77(22.4) 64(21.3) 13(30.2) 0.242 Smokers (n = 43) Smoking increase No smoking increase p** Feeling less well 5(38.5) 5(17.2) 0.238 Screen time increase 10(76.9) 14(46.7) 0.104 Weight increase 6(46.2) 7(23.3) 0.173 n(%) or mean ± SD. *p value: Smokers vs non smokers. **p value: Smoking increase vs no smoking increase

Aetiology and progression of cancer

2016 ◽  
pp. 155-159
Author(s):  
Fränzel J.B. van Duijnhoven ◽  
Ellen Kampman
Keyword(s):  
Physical Activity ◽  
Cancer Progression ◽  
Lifestyle Factors ◽  
Evidence Based ◽  
Unhealthy Lifestyle ◽  
Body Fatness ◽  
Treatment Research ◽  
After Cancer ◽  
Risk Of Cancer

Worldwide, there is a large difference in cancer rates. These rates may change over generations when people move from one part of the world to another. This occurs because these generations adapt their lifestyle to that of the host country, indicating that lifestyle factors are important in the aetiology of cancer. In this chapter an overview of established associations between body fatness, physical activity, diet, and other lifestyle factors and the development of cancer is given. About one-third of all cancers worldwide are caused by an unhealthy lifestyle. Evidence-based recommendations for the general population to decrease their risk of cancer have been set. Guidelines for individuals who are diagnosed with cancer, however, are lacking, due to limited evidence on the role of lifestyle during and after cancer treatment. Research should now be directed towards the role of body fatness, physical activity, diet, and other lifestyle factors in cancer progression.

scholarly journals Does Flourishing Reduce Engagement in Unhealthy and Risky Lifestyle Behaviours in Emerging Adults?

2020 ◽  
Vol 17 (24) ◽  
pp. 9472
Author(s):  
Ernesta Sofija ◽  
Neil Harris ◽  
Dung Phung ◽  
Adem Sav ◽  
Bernadette Sebar
Keyword(s):  
Emerging Adults ◽  
Subjective Experience ◽  
Adult Population ◽  
Life Stage ◽  
Self Care ◽  
Sun Protection ◽  
Dietary Behaviour ◽  
Unhealthy Lifestyle ◽  
Cross Sectional Survey ◽  
Lifestyle Behaviours

Emerging adulthood is a transitional life stage with increased probability of risky and unhealthy lifestyle behaviours that are known to have strong links with premature mortality and morbidity. Wellbeing, as a positive subjective experience, is identified as a factor that encourages self-care and may steer individuals away from risky lifestyle behaviours. Investigating wellbeing–behaviour links in the emerging adult population may increase understanding of the factors that lead to, and ways to prevent, engagement in risky behaviours. This study examines the association between flourishing, that is, the experience of both high hedonic and eudaimonic wellbeing, and a broad range of risky and unhealthy lifestyle behaviours among emerging adults in Australia. A cross-sectional survey of 1155 emerging adults aged 18–25 years measured wellbeing, socio-demographics, and six groups of lifestyle behaviours surrounding substance use, physical activity, diet, sex, sun protection, and driving. Bivariate and multivariate statistics were used to analyse the data. The findings revealed that flourishing was negatively associated with more dangerous types of risk behaviours, such as driving under the influence of drugs, and positively associated with self-care behaviours, such as healthier dietary behaviour and sun protection. If enabling emerging adults to flourish can contribute to reduced engagement in risky/unhealthy lifestyle behaviours, then promoting it is an important goal for health promotion efforts not only because flourishing is desirable in its own right, but also to bring about sustainable change in behaviour. Further research is needed to inform the designs of such interventions.

Mortality risk comparing walking pace to handgrip strength and a healthy lifestyle: A UK Biobank study

2019 ◽  
pp. 204748731988504 ◽  
Author(s):  
Francesco Zaccardi ◽  
Paul W Franks ◽  
Frank Dudbridge ◽  
Melanie J Davies ◽  
Kamlesh Khunti ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Mortality Risk ◽  
Healthy Lifestyle ◽  
Handgrip Strength ◽  
Brisk Walking ◽  
Uk Biobank ◽  
Tv Viewing ◽  
Unhealthy Lifestyle ◽  
Lifestyle Behaviours

Aims Brisk walking and a greater muscle strength have been associated with a longer life; whether these associations are influenced by other lifestyle behaviours, however, is less well known. Methods Information on usual walking pace (self-defined as slow, steady/average, or brisk), dynamometer-assessed handgrip strength, lifestyle behaviours (physical activity, TV viewing, diet, alcohol intake, sleep and smoking) and body mass index was collected at baseline in 450,888 UK Biobank study participants. We estimated 10-year standardised survival for individual and combined lifestyle behaviours and body mass index across levels of walking pace and handgrip strength. Results Over a median follow-up of 7.0 years, 3808 (1.6%) deaths in women and 6783 (3.2%) in men occurred. Brisk walkers had a survival advantage over slow walkers, irrespective of the degree of engagement in other lifestyle behaviours, except for smoking. Estimated 10-year survival was higher in brisk walkers who otherwise engaged in an unhealthy lifestyle compared to slow walkers who engaged in an otherwise healthy lifestyle: 97.1% (95% confidence interval: 96.9–97.3) vs 95.0% (94.6–95.4) in women; 94.8% (94.7–95.0) vs 93.7% (93.3–94.2) in men. Body mass index modified the association between walking pace and survival in men, with the largest survival benefits of brisk walking observed in underweight participants. Compared to walking pace, for handgrip strength there was more overlap in 10-year survival across lifestyle behaviours. Conclusion Except for smoking, brisk walkers with an otherwise unhealthy lifestyle have a lower mortality risk than slow walkers with an otherwise healthy lifestyle.

scholarly journals Identifying patterns of lifestyle behaviours among children of 3 years old

2020 ◽  
Vol 30 (6) ◽  
pp. 1115-1121
Author(s):  
Lu Wang ◽  
Wilma Jansen ◽  
Amy van Grieken ◽  
Eline Vlasblom ◽  
Magda M Boere-Boonekamp ◽  
...  
Keyword(s):  
Educational Level ◽  
Screen Time ◽  
Unhealthy Lifestyle ◽  
Time Pattern ◽  
Lifestyle Behaviours ◽  
Permissive Parenting ◽  
Maternal Educational Level ◽  
Lifestyle Pattern ◽  
Child Bmi ◽  
Lifestyle Patterns

Abstract Background To identify the patterns of lifestyle behaviours in children aged 3 years, to investigate the parental and child characteristics associated with the lifestyle patterns, and to examine whether the identified lifestyle patterns are associated with child BMI and weight status. Methods Cross-sectional data of 2090 children 3 years old participating in the Dutch BeeBOFT study were used. Child dietary intakes, screen times and physical activity were assessed by parental questionnaire, and child weight and height were measured by trained professionals according to a standardized protocol. Latent class analysis was applied to identify patterns of lifestyle behaviours among children. Results Three subgroups of children with distinct patterns of lifestyle behaviours were identified: the ‘unhealthy lifestyle’ pattern (36%), the ‘low snacking and low screen time’ pattern (48%) and the ‘active, high fruit and vegetable, high snacking and high screen time’ pattern (16%). Children with low maternal educational level, those raised with permissive parenting style (compared those with authoritative parents), and boys were more likely be allocated to the ‘unhealthy lifestyle’ pattern and the ‘active, high fruit and vegetable, high snacking and high screen time’ pattern (P < 0.05). No association was found between the identified lifestyle patterns and child BMI z-score at age 3 years. Conclusions Three different lifestyle patterns were observed among children aged 3 years. Low maternal educational level, permissive parenting style and male gender of the child were associated with having unhealthy lifestyle patterns for the child.

scholarly journals Self-reported Lifestyle Behaviours in Families With an Increased Risk for Type 2 Diabetes Across Six European Countries: the Feel4diabetes-study

2020 ◽  
Author(s):  
Vicky Van Stappen ◽  
Greet Cardon ◽  
Violeta Iotova ◽  
Nevena Chakarova ◽  
Imre Rurik ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
At Risk ◽  
Primary Schools ◽  
Trial Registration ◽  
Future Research ◽  
Multilevel Regression ◽  
Unhealthy Lifestyle ◽  
Lifestyle Behaviours ◽  
Increased Risk

Abstract Background: The current study aimed to describe self-reported lifestyle behaviours by comparing them to current health guidelines in European Feel4Diabetes-families at risk for developing type 2 diabetes across six countries (Belgium, Finland, Spain, Greece, Hungary and Bulgaria). Methods: Parents and their children were recruited through primary schools located in low socio-economic status areas. Parents filled out the FINDRISC-questionnaire, which was used for the risk assessment of the family. Sociodemographic factors and several lifestyle behaviours of both adults and children were assessed by parental questionnaires. To investigate families’ lifestyle behaviours, to compare these levels to health guidelines and to assess potential differences between the countries, multilevel regression analyses were conducted. Results: Most Feel4Diabetes-families at risk (parents and their children) did not comply with the guidelines regarding healthy behaviours, set by the WHO, European or national authorities; less than half of parents and children complied with the physical activity guidelines, less than 15% of them complied with the fruit and vegetable guideline, and only 40% of the children met the recommendations of five glasses of water per day. Clear differences in lifestyle behaviours in Feel4Diabetes-families at risk exist between the countries. Conclusions: Countries are highly recommended to invest in policy initiatives to counter unhealthy lifestyle behaviours in families at risk, taking into account country-specific needs. For future research it is of great importance to focus on families at risk in order to counter the development of type 2 diabetes and reduce health inequity.Trial registration: Name: Feel4Diabetes-study, trial registration number: 643708, data of registration 03/15/2015 (Retrospectively registered), URL: https://clinicaltrials.gov/ct2/show/NCT02393872?term=643708&draw=2&rank=1

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