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
2019 ◽  
Vol 32 (9) ◽  
pp. 1120-1132 ◽  
Author(s):  
Hai Nguyen ◽  
Kia-Chong Chua ◽  
Alexandru Dregan ◽  
Silia Vitoratou ◽  
Ivet Bayes-Marin ◽  
...  

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.


Circulation ◽  
2003 ◽  
Vol 107 (9) ◽  
pp. 1260-1264 ◽  
Author(s):  
Debbie A. Lawlor ◽  
Jonathan R. Emberson ◽  
Shah Ebrahim ◽  
Peter H. Whincup ◽  
S. Goya Wannamethee ◽  
...  

2013 ◽  
Vol 61 (12) ◽  
pp. 722 ◽  
Author(s):  
Baskaran Vallikannan ◽  
BangeraSheshappa Mamatha ◽  
Bhatiwada Nidhi ◽  
ChamrajnagarAnantharajiah Padmaprabhu ◽  
Prabhu Pallavi

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Ana M. Ramos-Leví ◽  
Natalia Pérez-Ferre ◽  
M. Dolores Fernández ◽  
Laura del Valle ◽  
Elena Bordiu ◽  
...  

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.


PLoS ONE ◽  
2012 ◽  
Vol 7 (11) ◽  
pp. e49464 ◽  
Author(s):  
Raquel Villegas ◽  
Ryan Delahanty ◽  
Yu-Tang Gao ◽  
Jirong Long ◽  
Scott M. Williams ◽  
...  

2019 ◽  
Vol 35 (2) ◽  
pp. 291-298 ◽  
Author(s):  
Perttu Sahlman ◽  
Markku Nissinen ◽  
Pauli Puukka ◽  
Antti Jula ◽  
Veikko Salomaa ◽  
...  

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