scholarly journals MICSIMPOP: MODELING HOW LIFESTYLE FACTORS AND CHRONIC DISEASES AFFECT CARE NEEDS WITH DEMENTIA

2017 ◽  
Vol 1 (suppl_1) ◽  
pp. 36-36
Author(s):  
C. Jagger ◽  
A. Kingston ◽  
H. Booth ◽  
Keyword(s):  
Chronic Diseases ◽  
Lifestyle Factors ◽  
Care Needs

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
Keyword(s):  
Risk Factors ◽  
Chronic Disease ◽  
Chronic Diseases ◽  
Lifestyle Factors ◽  
Competing Risk ◽  
Chronic Obstructive ◽  
Common Disease ◽  
Heavy Smoking ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

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.

scholarly journals The association between ethnicity, environmental and lifestyle factors and chronic disease in the development of pseudoexfoliation syndrome

2021 ◽  
Vol 37 (2) ◽  
Author(s):  
Saba Ali Arif ◽  
Muhammad Ifraheem Khan ◽  
Fatimah Nauman ◽  
Mohammad Ali Arif
Keyword(s):  
Chronic Disease ◽  
Chronic Diseases ◽  
Regression Coefficient ◽  
Binary Logistic Regression ◽  
Educational Status ◽  
Lifestyle Factors ◽  
Pseudoexfoliation Syndrome ◽  
Maximum Temperature ◽  
Creative Commons ◽  
Weighted Mean Temperature

Objectives: To determine the association between ethnicity, environmental factors, lifestyle factors, chronic diseases and pseudoexfoliation syndrome (PEX). Methods: A case control study conducted at four major hospitals in Pakistan from January to November 2019, with 241 cases and 294 controls, aged ≥ 40 years, who were administered a questionnaire assessing demographics, lifestyle factors, chronic diseases and ethnicity. Multivariate binary logistic regression was applied to calculate the odds ratio between cases and controls. Results: PEX was found to be positively associated with ethnicity (p<0.001), time spent outdoors (p<0.001), educational status (p<0.001), asthma (p<0.001), mean age (p<0.001), daily tea intake (p=0.003), weighted maximum temperature (p<0.001) and weighted mean temperature (p=0.004). Poor association was found with weighted latitude (p=0.526) and weighted minimum temperature (p=0.079). Odds ratios for patients with asthma (OR=7.366, regression coefficient=1.993, p<0.001) Pathan ethnicity (OR=1.616, regression coefficient=0.48, p=0.016) and mean weighted temperature (OR=0.907, regression coefficient-0.097, p=0 0.000) were significant in diagnosed cases of PEX. Conclusion: Individuals with Pathan ethnicity and asthmatics should be made aware of the risk of developing PEX and the importance of periodic screening. Limiting exposure to sunlight and cold and reducing the intake of tea may help in reducing in the chances of developing PEX. doi: https://doi.org/10.12669/pjms.37.2.2216 How to cite this:Arif SA, Khan MI, Nauman F, Arif MA. The association between ethnicity, environmental and lifestyle factors and chronic disease in the development of pseudoexfoliation syndrome. Pak J Med Sci. 2021;37(2):---------.   doi: https://doi.org/10.12669/pjms.37.2.2216 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

scholarly journals Healthy lifestyle and life expectancy free of chronic diseases

JMS SKIMS ◽  
2020 ◽  
Vol 23 (1) ◽  
pp. 54-56
Author(s):  
Peerzada Umar Farooq Baba ◽  
Adil Hafeez Wani
Keyword(s):  
Physical Activity ◽  
Life Expectancy ◽  
Chronic Diseases ◽  
Healthy Lifestyle ◽  
Lifestyle Factors ◽  
Total Life Expectancy ◽  
Lifestyle Measures ◽  
Disease Free ◽  
Total Life

The average life expectancy in the world has increased substantially in the past few decades. Modifiable lifestyle factors including smoking, physical activity, alcohol intake, body weight, and diet quality affect both total life expectancy and incidence of chronic diseases. Few studies have comprehensively examined how a combination of multiple lifestyle factors may relate to life expectancy free from major diseases such as diabetes, cardiovascular disease, and cancer. A Harvard team examined the effect of healthy lifestyle factors on life expectancy free of chronic diseases, using data from up to 34 years of follow-up in the Nurses’ Health Study (NHS) (1980-2014; n=73 196) and 28 years of follow-up in the Health Professions Follow-up Study (HPFS)(1986-2014;n=38 366). A healthy lifestyle score based on information on five lifestyle factors—diet, smoking, physical activity, alcohol consumption, and body mass index (BMI) was derived. Five low-risk lifestyle factors included: never smoking, body mass index 18.5-24.9, moderate to vigorous physical activity (≥30 minutes/day), moderate alcohol intake (women: 5-15 g/day; men 5-30 g/day), and a higher diet quality score (upper 40%). Women who met all the healthful lifestyle measures had an additional 10.7 years of disease-free life compared with women who met no healthful lifestyle measures. For men, the number was 7.6 additional disease-free years. So it was concluded that a healthier lifestyle was associated with an increased total life expectancy and life expectancy free of cancer, cardiovascular disease, and type 2 diabetes. Findings suggest that the promotion of a healthy lifestyle would help to reduce healthcare burdens. Public policies for improving food and the physical environment conducive to adopting a healthy diet and lifestyle are critical to improving life expectancy, especially life expectancy free of major chronic diseases. Source: BMJ 2020; 368:l6669 http://dx.doi.org/10.1136/bmj.l6669

scholarly journals Complex care needs in people with chronic diseases: measurement of the agreement to define complexity between physicians and nurses in primary care

2016 ◽  
Vol 16 (6) ◽  
pp. 373
Author(s):  
Lidia Palau Morales ◽  
Carme Berbel Navarro ◽  
Marisa Martínez-Muñoz ◽  
Clara Alavedra Celada ◽  
Núria Albi Visús ◽  
...  
Keyword(s):  
Primary Care ◽  
Chronic Diseases ◽  
Complex Care ◽  
Care Needs ◽  
Complex Care Needs

scholarly journals Chewing Difficulty Should be Included as a Geriatric Syndrome

Nutrients ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 1997 ◽  
Author(s):  
Jean Woo ◽  
Cecilia Tong ◽  
Ruby Yu
Keyword(s):  
Primary Care ◽  
Chronic Diseases ◽  
Well Being ◽  
Geriatric Syndrome ◽  
Subjective Well Being ◽  
Geriatric Syndromes ◽  
Care Needs ◽  
Cross Sectional ◽  
Poor Vision ◽  
Automated Methods

Recent studies have noted an association between chewing difficulties and frailty. In a pilot survey of primary care needs of older people living in the community using automated methods, we examined the prevalence of chewing difficulties and the cross-sectional association with other geriatric syndromes, chronic diseases, and the use of hospital services. A brief multi-domain geriatric assessment was administered to 2259 men and women using a mobile device, the data uploaded to the cloud and analyzed. A total of 37.8% had chewing difficulties, which were associated with older age, poor vision, frailty, sarcopenia, memory complaints, low subjective well-being, incontinence, and stroke. The results suggest that chewing difficulties should be included as a geriatric syndrome and should be included in primary care screening of geriatric syndromes as well as chronic diseases.

scholarly journals Healthy lifestyle and life expectancy free of cancer, cardiovascular disease, and type 2 diabetes: prospective cohort study

BMJ ◽  
2020 ◽  
pp. l6669 ◽  
Author(s):  
Yanping Li ◽  
Josje Schoufour ◽  
Dong D Wang ◽  
Klodian Dhana ◽  
An Pan ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Cohort Study ◽  
Cardiovascular Diseases ◽  
Life Expectancy ◽  
Chronic Diseases ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Healthy Lifestyle ◽  
Lifestyle Factors ◽  
Low Risk

Abstract Objective To examine how a healthy lifestyle is related to life expectancy that is free from major chronic diseases. Design Prospective cohort study. Setting and participants The Nurses’ Health Study (1980-2014; n=73 196) and the Health Professionals Follow-Up Study (1986-2014; n=38 366). Main exposures Five low risk lifestyle factors: never smoking, body mass index 18.5-24.9, moderate to vigorous physical activity (≥30 minutes/day), moderate alcohol intake (women: 5-15 g/day; men 5-30 g/day), and a higher diet quality score (upper 40%). Main outcome Life expectancy free of diabetes, cardiovascular diseases, and cancer. Results The life expectancy free of diabetes, cardiovascular diseases, and cancer at age 50 was 23.7 years (95% confidence interval 22.6 to 24.7) for women who adopted no low risk lifestyle factors, in contrast to 34.4 years (33.1 to 35.5) for women who adopted four or five low risk factors. At age 50, the life expectancy free of any of these chronic diseases was 23.5 (22.3 to 24.7) years among men who adopted no low risk lifestyle factors and 31.1 (29.5 to 32.5) years in men who adopted four or five low risk lifestyle factors. For current male smokers who smoked heavily (≥15 cigarettes/day) or obese men and women (body mass index ≥30), their disease-free life expectancies accounted for the lowest proportion (≤75%) of total life expectancy at age 50. Conclusion Adherence to a healthy lifestyle at mid-life is associated with a longer life expectancy free of major chronic diseases.

Sign in / Sign up

Export Citation Format

Share Document