scholarly journals Preventable Lifestyle Risk Factors for Non-Communicable Diseases in the Pakistan Adolescents Schools Study 1 (PASS-1)

2011 ◽  
Vol 44 (5) ◽  
pp. 210-217 ◽  
Author(s):  
Ali Khan Khuwaja ◽  
Saleem Khawaja ◽  
Komal Motwani ◽  
Adeel Akbar Khoja ◽  
Iqbal Syed Azam ◽  
...  
Keyword(s):  
Risk Factors ◽  
Communicable Diseases ◽  
Non Communicable Diseases ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

scholarly journals Clustering of lifestyle risk factors among adult population in India: A cross-sectional analysis from 2005 to 2016

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0244559
Author(s):  
Rufi Shaikh ◽  
Junaid Khan
Keyword(s):  
Risk Factors ◽  
Disease Risk ◽  
Communicable Diseases ◽  
Men And Women ◽  
Non Communicable Diseases ◽  
Lifestyle Risk Factors ◽  
Adult Men ◽  
Multiple Risk Factors ◽  
Multiple Risk ◽  
Lifestyle Risk

Introduction Individual’s early life style and health behaviors are directly linked to chronic non-communicable diseases. Considering the increased burden of NCDs during the last two decades, the aim of this study is to assess co-occurrence/clustering of lifestyle risk factors and its association with different socio-demographic and economic characteristics among adult men and women in India from 2005–2016. Methods This study utilized the data from the National Family Health Survey 2005–06 and 2015–16 survey rounds. Multinomial logistic regression is employed to evaluate co-occurrence of multiple risk factors among adult men and women of different socio-economic and demographic characteristics to identify the subgroups with elevated risk of clustering of multiple unhealthy lifestyle risk factors. Results More adult men in India tend to exhibit clustering of multiple non-communicable disease risk factors than females. Individuals between 30–49 years of age, residing in urban areas, the population with no education, separated couples and those from poor economic strata are the specific population subgroups show higher prevalence of co-occurrence of multiple risk factors. The regional pattern of clustering of risk factors shows that the prevalence of co-occurrence of multiple risk factors is higher among men and women from the North-Eastern part of India compared to the other regions of the country. Conclusion The prevalence of clustering of multiple risk factors associated with chronic NCDs is substantially high and has increased between 2005–06 to 2015–16. India may therefore experience a significant increase in the burden of chronic non-communicable diseases in the coming years. We therefore conclude that appropriate strategies should be implemented by policy makers and the government to reduce the overall health burden of NCDs due to lifestyle habits.

scholarly journals Lifestyle risk factors of non-communicable diseases among patients after liver transplantation – a pilot study

2017 ◽  
Vol 3 ◽  
pp. 214-220
Author(s):  
Anna Jagielska ◽  
Krzysztof Jankowski ◽  
Katarzyna Okręglicka ◽  
Paulina Skupin ◽  
Aleksandra Kozłowska ◽  
...  
Keyword(s):  
Risk Factors ◽  
Liver Transplantation ◽  
Pilot Study ◽  
Communicable Diseases ◽  
Non Communicable Diseases ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

Lifestyle risk factors, non-communicable diseases and labour force participation in South Africa

2019 ◽  
Vol 37 (3) ◽  
pp. 446-461
Author(s):  
Nozuko Lawana ◽  
Frederik Booysen ◽  
Asrat Tsegaye ◽  
Forget Mingiri Kapingura ◽  
Charles Hongoro
Keyword(s):  
Risk Factors ◽  
South Africa ◽  
Labour Force ◽  
Labour Force Participation ◽  
Communicable Diseases ◽  
Non Communicable Diseases ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

scholarly journals Prevalence and co-occurrence of lifestyle risk factors for non-communicable diseases according to sociodemographic characteristics among adults Chilean residents

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
María José Aburto ◽  
Dayna Romero ◽  
Leandro F. M. Rezende ◽  
Zila M. Sanchez ◽  
Cristian Cofre Bolados ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Alcohol Consumption ◽  
Physical Inactivity ◽  
Vegetable Consumption ◽  
Tobacco Consumption ◽  
Sociodemographic Characteristics ◽  
Non Communicable Diseases ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

AbstractTo examine the prevalence and co-occurrence of lifestyle risk factors for non-communicable diseases (NCDs) according to sociodemographic characteristics in Chilean residents. A cross-sectional study based on data from 5995 adults from the Chilean National Health Survey. The lifestyle risk factors included were physical inactivity, tobacco consumption, alcohol consumption, low fruits and vegetable consumption, and overweight/obesity. The most frequent risk factor was overweight/obesity (75.6%), followed by alcohol consumption (74.8%), low fruits and vegetable consumption (51.7%), physical inactivity (36.3%), and tobacco consumption (27.9%). Only 1.0% of the participants did not present any risk factor, while 9.6%, 30.4%, 34.0%, 20.3%, and 4.7% accumulated one, two, three, four, and five risk factors. Men (OR 1.56; 95% CI 1.18; 2.04), people who have secondary education (OR 1.59; 95% CI 1.20; 2.10), and those with lower household income (OR 1.39; 95% CI 1.09; 1.59) had higher odds of three or more risk factors. Associations were inverse for older adults (OR 0.57; 95% CI 0.41; 0.79) and rural geographic areas (OR 0.77; 95% CI 0.67; 0.89). The prevalence of risk factors for NCDs is fairly high in Chilean residents. Interventions may need to target these co-occurrences rather than emphasizing individual risk factors for NCDs. Interventions could further consider these co-occurrences as a potential target for population stratification.

Novel Machine-Learned Approach for COVID-19 Resource Allocation: A Tool for Evaluating Community Susceptibility (Preprint)

2020 ◽  
Author(s):  
Neil Kale
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Insurance Coverage ◽  
Premature Mortality ◽  
Health Insurance Coverage ◽  
Heart Attacks ◽  
Lifestyle Risk Factors ◽  
The People ◽  
Potential Risk Factors ◽  
Lifestyle Risk

BACKGROUND Despite worldwide efforts to develop an effective COVID vaccine, it is quite evident that initial supplies will be limited. Therefore, it is important to develop methods that will ensure that the COVID vaccine is allocated to the people who are at major risk until there is a sufficient global supply. OBJECTIVE The purpose of this study was to develop a machine-learning tool that could be applied to assess the risk in Massachusetts towns based on community-wide social, medical, and lifestyle risk factors. METHODS I compiled Massachusetts town data for 29 potential risk factors, such as the prevalence of preexisting comorbid conditions like COPD and social factors such as racial composition, and implemented logistic regression to predict the amount of COVID cases in each town. RESULTS Of the 29 factors, 14 were found to be significant (p < 0.1) indicators: poverty, food insecurity, lack of high school education, lack of health insurance coverage, premature mortality, population, population density, recent population growth, Asian percentage, high-occupancy housing, and preexisting prevalence of cancer, COPD, overweightness, and heart attacks. The machine-learning approach is 80% accurate in the state of Massachusetts and finds the 9 highest risk communities: Lynn, Brockton, Revere, Randolph, Lowell, New Bedford, Everett, Waltham, and Fitchburg. The 5 most at-risk counties are Suffolk, Middlesex, Bristol, Norfolk, and Plymouth. CONCLUSIONS With appropriate data, the tool could evaluate risk in other communities, or even enumerate individual patient susceptibility. A ranking of communities by risk may help policymakers ensure equitable allocation of limited doses of the COVID vaccine.

scholarly journals The prevalence of risk factors associated with non-communicable diseases in Afghan refugees in southern Iran: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Erfan Taherifard ◽  
Mohammad Javad Moradian ◽  
Ehsan Taherifard ◽  
Abdolrasool Hemmati ◽  
Behnaz Rastegarfar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Tobacco Smoking ◽  
Physical Inactivity ◽  
Vegetable Intake ◽  
Vegetable Consumption ◽  
Communicable Diseases ◽  
Cross Sectional ◽  
Non Communicable Diseases ◽  
Afghan Refugees ◽  
Southern Iran

Abstract Background Refugees are highly vulnerable to many health-related risks. Monitoring non-communicable diseases (NCDs) is of overriding importance in these populations. This study aimed to investigate the prevalence of risk factors for NCDs amongst Afghan refugees in a refugee camp located in southern Iran. Methods This cross-sectional sturdy was conducted in 2018. Risk factors such as inadequate nutrition, physical inactivity, tobacco smoking, obesity and overweight, hypertension (HTN), elevated fasting plasma glucose (FPG), and dyslipidaemia were assessed. Data were gathered with a modified WHO STEPS procedure. Prevalence and age-standardized prevalence and their 95% confidence intervals (CI) were estimated. Results The estimated prevalence were 94% for inadequate fruit/vegetable consumption, 18% for physical inactivity, 9% for tobacco smoking, 3% for FPG, 20% for HTN, 51% for central obesity, 24% for overweight, 19% for obesity, and 69% for dyslipidaemia. Conclusions Except for inadequate fruit and vegetable intake and dyslipidaemia, the prevalence of other NCD risk factors was low among Afghan refugees in Iran. Raising awareness about healthy diet and its importance and the provision of more affordable fruit and vegetables are two effective measures toward improving the health of refugees in Iran.

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