scholarly journals Smoking, drinking, diet and physical activity—modifiable lifestyle risk factors and their associations with age to first chronic disease

2019 ◽  
Vol 49 (1) ◽  
pp. 113-130 ◽  
Author(s):  
Ryan Ng ◽  
Rinku Sutradhar ◽  
Zhan Yao ◽  
Walter P Wodchis ◽  
Laura C Rosella

AbstractBackgroundThis study examined the incidence of a person’s first diagnosis of a selected chronic disease, and the relationships between modifiable lifestyle risk factors and age to first of six chronic diseases.MethodsOntario respondents from 2001 to 2010 of the Canadian Community Health Survey were followed up with administrative data until 2014 for congestive heart failure, chronic obstructive respiratory disease, diabetes, lung cancer, myocardial infarction and stroke. By sex, the cumulative incidence function of age to first chronic disease was calculated for the six chronic diseases individually and compositely. The associations between modifiable lifestyle risk factors (alcohol, body mass index, smoking, diet, physical inactivity) and age to first chronic disease were estimated using cause-specific Cox proportional hazards models and Fine-Gray competing risk models.ResultsDiabetes was the most common disease. By age 70.5 years (2015 world life expectancy), 50.9% of females and 58.1% of males had at least one disease and few had a death free of the selected diseases (3.4% females; 5.4% males). Of the lifestyle factors, heavy smoking had the strongest association with the risk of experiencing at least one chronic disease (cause-specific hazard ratio = 3.86; 95% confidence interval = 3.46, 4.31). The lifestyle factors were modelled for each disease separately, and the associations varied by chronic disease and sex.ConclusionsWe found that most individuals will have at least one of the six chronic diseases before dying. This study provides a novel approach using competing risk methods to examine the incidence of chronic diseases relative to the life course and how their incidences are associated with lifestyle behaviours.

2021 ◽  
Vol 9 ◽  
Author(s):  
Fang Gu ◽  
Siliang Zhou ◽  
Ke Lou ◽  
Rui Deng ◽  
Xingxiu Li ◽  
...  

Objectives: To assess the relationship between modifiable lifestyle factors and risk of overweight/obesity in Chinese students, and to evaluate the predicting prevalence of overweight if the lifestyle risk factors were removed.Methods: A cross-sectional survey was conducted among 40,141 students in grade three and above (8–24yrs) in 2019 in Zhejiang Province, China. Physical examination was performed, and a self-administered questionnaire was used to collect lifestyle information, including dietary behavior, physical activity, TV watching, sleeping, smoking, drinking, and tooth-brushing habits. Logistic regression models were performed to assess the relationship between overweight/obesity and a series of lifestyle factors. Population attributable fractions (PAFs) were used to calculate the predicting prevalence of overweight/obesity if lifestyle risk factors were removed.Results: The prevalence of overweight/obesity of participants was 25.5% (male 32.3%, female 18.1%). Overweight/obesity were associated with adverse lifestyle factors, such as watch TV ≥1 h/day (OR = 1.14, 95% CI: 1.11–1.22), insufficient sleep (OR = 1.14, 95% CI: 1.11–1.22), and irregular toothbrushing habits (OR = 1.19, 95% CI: 1.01–1.39). Based on the calculated PAFs, the predicted prevalence of overweight/obesity would decline moderately if lifestyle factors were modified, with the magnitudes of decrease vary by sex, age and residence. Generally, a larger reduction was estimated if the sleeping time was increased and TV time was reduced, with the prevalence of overweight/obesity decreased by 1.1% (95% CI: 0.7, 1.5%) and 0.9% (95% CI: 0.6, 1.2%), respectively.Conclusions: Predicted prevalence of overweight/ obesity in Chinese students may decrease if modifiable lifestyle risk factors were removed. The attributable risk for obesity of lifestyle behaviors varied in age, sex and residence groups. The findings of this study may provide insights for planning and optimizing future obesity intervention endeavors.


Author(s):  
Deepadarshan H. ◽  
Shweta D. Hiremath

Background: Rapid urbanization and industrialization is leading to increased lifestyle risk factors and thus lifestyle diseases. Lifestyle diseases are causing more number of deaths and disability worldwide in recent years. Recent studies have shown a higher risk of lifestyle diseases among rural population. Hence this study was conducted to assess the lifestyle factors and lifestyle diseases and to know the prevalence of lifestyle diseases among rural population. Study design and setting: Cross-sectional study in Rural Health Training Centre, Sapthagiri Institute of Medical Sciences and Research Centre, Bengaluru.Methods: For a sample size of 108, systematic sampling was done and a questionnaire was administered. Data collected regarding lifestyle risk factors and diseases and analyzed using SPSS v 20. Results: 66 out of 108 participants (61.1%) had one or more lifestyle risk factors. Prevalence of lifestyle diseases was 37.03%. Hypertension was the most common disease with 27 (25%) cases followed by diabetes mellitus (16.7%) and asthma/COPD (7.5%). There was significant association between lifestyle factors like Tobacco and cigarette use, junk foods, overweight and obesity with lifestyle diseases. Conclusions: There is a need for population based program at primary level on lifestyle modification in the prevention of lifestyle diseases. 


2016 ◽  
Vol 58 (8) ◽  
pp. 770-777 ◽  
Author(s):  
Stella M. Gwini ◽  
Helen L. Kelsall ◽  
Jil F. Ikin ◽  
Malcolm R. Sim ◽  
Alexander C. McFarlane ◽  
...  

2021 ◽  
pp. 135245852110220
Author(s):  
Jing Wu ◽  
Elin Engdahl ◽  
Rasmus Gustafsson ◽  
Anna Fogdell-Hahn ◽  
Tim Waterboer ◽  
...  

Background: Infection with human herpesvirus 6A (HHV-6A) has been suggested to increase multiple sclerosis (MS) risk. However, potential interactions between HHV-6A and environmental/lifestyle risk factors for MS have not previously been studied. Methods: We used two Swedish population-based case-control studies comprising 5993 cases and 5995 controls. Using logistic regression models, subjects with different HHV-6A antibody levels, environmental exposures, and lifestyle habits were compared regarding MS risk, by calculating odds ratios (ORs) with 95% confidence intervals (CIs). Potential interactions between high HHV-6A antibody levels and common environmental exposures and lifestyle factors were evaluated on the additive scale. Results: High HHV-6A antibody levels were associated with increased risk of developing MS (OR = 1.5, 95% CI = 1.4–1.6). Regarding MS risk, significant interactions were observed between high HHV-6A antibody levels and both smoking (attributable proportion (AP) = 0.2, 95% CI = 0.1–0.3), low ultraviolet radiation (UVR) exposure (AP = 0.3, 95% CI = 0.1–0.4), and low vitamin D levels (AP = 0.3, 95% CI = 0.0–0.6). Conclusion: High HHV-6A antibody levels are associated with increased MS risk and act synergistically with common environmental/lifestyle risk factors for MS. Further research is needed to investigate potential mechanisms underlying the interactions presented in this study.


Neurology ◽  
2019 ◽  
Vol 92 (23) ◽  
pp. e2691-e2698 ◽  
Author(s):  
Donald M. Lyall ◽  
Carlos Celis-Morales ◽  
Laura M. Lyall ◽  
Christopher Graham ◽  
Nicholas Graham ◽  
...  

ObjectiveTo test for interactions between APOE ε4 genotype and lifestyle factors on worse cognitive abilities in UK Biobank.MethodsUsing UK Biobank cohort data, we tested for interactions between APOE ε4 allele presence, lifestyle factors of alcohol intake, smoking, total physical activity and obesity, and sex, on cognitive tests of reasoning, information processing speed, and executive function (n range = 70,988–324,725 depending on the test). We statistically adjusted for potential confounders of age, sex, deprivation, cardiometabolic conditions, and educational attainment.ResultsThere were significant associations between APOE ε4 and worse cognitive abilities, independent of potential confounders, and between lifestyle risk factors and worse cognitive abilities; however, there were no interactions at multiple correction-adjusted p < 0.05, against our hypotheses.ConclusionsOur results do not provide support for the idea that ε4 genotype increases vulnerability to the negative effects of lifestyle risk factors on cognitive ability, but rather support a primarily outright association between APOE ε4 genotype and worse cognitive ability.


2010 ◽  
Vol 12 ◽  
pp. e63
Author(s):  
R. Plotnikoff ◽  
N. Karunamuni ◽  
J. Spence ◽  
K. Storey ◽  
L. Forbes ◽  
...  

Author(s):  
Smita Maruti Mekhale ◽  
Pramod A. Budruk

Introduction - In the present era for upholding the identity of Ayurveda, it is necessary to substantiate that the knowledge available in Samhita is undeniably true with respect to modern science. Human body is a miracle of the nature. In Ayurveda it has been cited that in order to fulfil the achievement of Garbha the four fertility factors i.e Rutu, Kshetra, Ambu, Beeja (Garbhasambhav samgiri) must be adequate.1 To treat infertility understanding Garbhasambhav Samgri i.e Rutu, Kshetra, Ambu, Beeja in Female is of its critical importance. Aim – Conceptual study of Garbhasambhav Samgri in Female with Modern Aspects and lifestyle risk factors. Objectives – To Review Garbhasambhav Samgri in Both Ayurvedic and Modern text. Material and Methods – All the Ayurvedic and Modern literature and contemporary texts including websites will be reviewed. Discussion –The review of Garbhasambhav samgri from the purview of modern Aspect will be discussed. Conclusion – The Proper conclusion related to the Conceptual Study of Garbhasambhav Samgri with respect to lifestyle factors will be drawn. Key Words: Garbhasambhav samgri, Rutu, Kshetra, Beeja


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