Data Mining for Lifestyle Risk Factors Associated with Overweight and Obesity among Adolescents

2014 ◽  
Author(s):  
Anthony Pochini ◽  
Yitian Wu ◽  
Gongzhu Hu
Keyword(s):  
Risk Factors ◽  
Data Mining ◽  
Overweight And Obesity ◽  
Factors Associated ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

Factors Associated With Multimorbidity Patterns in Older Adults in England: Findings From the English Longitudinal Study of Aging (ELSA)

2019 ◽  
Vol 32 (9) ◽  
pp. 1120-1132 ◽  
Author(s):  
Hai Nguyen ◽  
Kia-Chong Chua ◽  
Alexandru Dregan ◽  
Silia Vitoratou ◽  
Ivet Bayes-Marin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Longitudinal Study ◽  
Latent Class ◽  
Future Research ◽  
Factors Associated ◽  
Lifestyle Risk Factors ◽  
Class B ◽  
Lifestyle Risk ◽  
English Longitudinal Study

Objective: We aimed to identify the patterns of multimorbidity in older adults and explored their association with sociodemographic and lifestyle risk factors. Method: The sample included 9,171 people aged 50+ from Wave 2 of the English Longitudinal Study of Aging (ELSA). Latent Class Analysis (LCA) was performed on 26 chronic diseases to determine clusters of common diseases within individuals and their association with sociodemographic and lifestyle risk factors. Result: Three latent classes were identified: (a) a cardiorespiratory/arthritis/cataracts class, (b) a metabolic class, and (c) a relatively healthy class. People aged 70 to 79 were 9.91 times (95% Confidence Interval [CI] = [5.13, 19.13]) more likely to be assigned to the cardiorespiratory/arthritis/cataracts class, while regular drinkers and physically inactive people were 0.33 times (95% CI = [0.24, 0.47]) less likely to be assigned to this class. Conclusion: Future research should investigate these patterns further to gain more insights into the needs of people with multimorbidity.

scholarly journals Is the Association Between Parity and Coronary Heart Disease Due to Biological Effects of Pregnancy or Adverse Lifestyle Risk Factors Associated With Child-Rearing?

Circulation ◽  
2003 ◽  
Vol 107 (9) ◽  
pp. 1260-1264 ◽  
Author(s):  
Debbie A. Lawlor ◽  
Jonathan R. Emberson ◽  
Shah Ebrahim ◽  
Peter H. Whincup ◽  
S. Goya Wannamethee ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Biological Effects ◽  
Child Rearing ◽  
Factors Associated ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

scholarly journals Dietary and Lifestyle Risk Factors Associated with Incident Kidney Stones in Men and Women

2017 ◽  
Vol 198 (4) ◽  
pp. 858-863 ◽  
Author(s):  
Pietro Manuel Ferraro ◽  
Eric N. Taylor ◽  
Giovanni Gambaro ◽  
Gary C. Curhan
Keyword(s):  
Risk Factors ◽  
Kidney Stones ◽  
Men And Women ◽  
Factors Associated ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

scholarly journals Lifestyle Risk Factors and the Population Attributable Fractions for Overweight and Obesity in Chinese Students of Zhejiang Province

2021 ◽  
Vol 9 ◽  
Author(s):  
Fang Gu ◽  
Siliang Zhou ◽  
Ke Lou ◽  
Rui Deng ◽  
Xingxiu Li ◽  
...  
Keyword(s):  
Risk Factors ◽  
Chinese Students ◽  
Lifestyle Factors ◽  
Overweight And Obesity ◽  
Zhejiang Province ◽  
Lifestyle Risk Factors ◽  
Population Attributable Fractions ◽  
Attributable Fractions ◽  
Lifestyle Risk ◽  
The Relationship

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.

scholarly journals Dietary and lifestyle risk factors associated with age-related macular degeneration: A hospital based study

2013 ◽  
Vol 61 (12) ◽  
pp. 722 ◽  
Author(s):  
Baskaran Vallikannan ◽  
BangeraSheshappa Mamatha ◽  
Bhatiwada Nidhi ◽  
ChamrajnagarAnantharajiah Padmaprabhu ◽  
Prabhu Pallavi
Keyword(s):  
Risk Factors ◽  
Macular Degeneration ◽  
Age Related Macular Degeneration ◽  
Factors Associated ◽  
Lifestyle Risk Factors ◽  
Age Related ◽  
Lifestyle Risk

scholarly journals Risk Factors for Gestational Diabetes Mellitus in a Large Population of Women Living in Spain: Implications for Preventative Strategies

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Ana M. Ramos-Leví ◽  
Natalia Pérez-Ferre ◽  
M. Dolores Fernández ◽  
Laura del Valle ◽  
Elena Bordiu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intervention Studies ◽  
Large Population ◽  
Behavioral Characteristics ◽  
Risk Appraisal ◽  
Processed Meats ◽  
Factors Associated ◽  
Lifestyle Risk Factors ◽  
Modifiable Factors ◽  
Lifestyle Risk

The aim of this study is to establish a risk appraisal model for GDM by identifying modifiable factors that can help predict the risk of GDM in a large population of 2194 women living in Spain. They were recruited between 2009-2010 when screening for GDM was performed. Participants completed a questionnaire on socio-demographic, anthropomorphic and behavioral characteristics, and reproductive and medical history. A total of 213 (9.7%) women were diagnosed as having GDM. Age, pregestational body weight (BW) and body mass index (BMI), and number of events of medical, obstetric and family history were significantly associated with GDM. After logistic regression model, biscuits and pastries intake <4 times/week, red and processed meats intake <6 servings/week, sugared drinks <4 servings/week, light walking >30 minutes/day, and 30 minutes/day of sports at least 2 days/week, compared with opposite consumption, was associated with less GDM risk. Our study identified several pregestational modifiable lifestyle risk factors associated with an increase in the risk of developing GDM. This may represent a promising approach for the prevention of GDM and subsequent complications. Further intervention studies are needed to evaluate if this appraisal model of risk calculation can be useful for prevention and treatment of GDM.

scholarly journals Obesity and lifestyle risk factors among an adult population in Legal Amazon, Mato Grosso, Brazil

2016 ◽  
Vol 18 (1) ◽  
pp. 26-36 ◽  
Author(s):  
Rita De Cássia Spanhol ◽  
Carlos Kusano Bucalen Ferrari
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Soft Drinks ◽  
Overweight And Obesity ◽  
Activity Level ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

<p>To evaluate the frequency of obesity and lifestyle risk factors in the population of Barra do Garças, Legal Amazon.</p><p><strong>Methodology </strong>A randomized, transversal study with 305 adults of both genders was performed. Weight, height, body mass index (BMI), waist circumference, food dietary habits, frequency of smoking and alcoholic consumption, practice of physical activity, and the physical activity level were evaluated.  </p><p><strong>Results </strong>Smoking and alcoholic consumption was higher among men compared to women. Almost 60 % of men engaged in leisure-time physical activities, whereas only 42.4 % of women practiced physical activity. Women were engaged in mostly sedentary behavior activities, such as watching television and using the computer use than men. Dietary daily intake of fruits and vegetables were higher among women compared to men (65.9 % and 51.5 %, respectively). Men were more prone to drink soft drinks than women. However, 39.4 % of men and only 3.4 % of women drank soft drinks three or more days <em>per</em> week. The prevalence of overweight and obesity according to body mass index (BMI) was higher in this study. 34.4 % of men and 33.7 % of women were overweight and 15.10 % and 17.50% of men and women, respectively, were classifyied as obese. Elevated values of waist circumference were found in 35.35 % of men and 70.73 % of women.</p><p><strong>Conclusión</strong> Women were more sedentary than men and had higher prevalence of abnormal waist circumference values.</p>

scholarly journals Lifestyle factors and lifestyle diseases among rural population of Bengaluru rural district

2017 ◽  
Vol 4 (5) ◽  
pp. 1558
Author(s):  
Deepadarshan H. ◽  
Shweta D. Hiremath
Keyword(s):  
Risk Factors ◽  
Rural Population ◽  
Lifestyle Factors ◽  
Overweight And Obesity ◽  
Research Centre ◽  
Rapid Urbanization ◽  
Training Centre ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk ◽  
Lifestyle Diseases

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. 

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