Novel Application of Statistical Methods to Identify New Urinary Incontinence Risk Factors
المؤلفون المشاركون
Ogunyemi, Theophilus O.
Siadat, Mohammad-Reza
Killinger, Kim A.
Arslanturk, Suzan
Diokno, Ananias C.
المصدر
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-10-31
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Longitudinal data for studying urinary incontinence (UI) risk factors are rare.
Data from one study, the hallmark Medical, Epidemiological, and Social Aspects of Aging (MESA), have been analyzed in the past; however, repeated measures analyses that are crucial for analyzing longitudinal data have not been applied.
We tested a novel application of statistical methods to identify UI risk factors in older women.
MESA data were collected at baseline and yearly from a sample of 1955 men and women in the community.
Only women responding to the 762 baseline and 559 follow-up questions at one year in each respective survey were examined.
To test their utility in mining large data sets, and as a preliminary step to creating a predictive index for developing UI, logistic regression, generalized estimating equations (GEEs), and proportional hazard regression (PHREG) methods were used on the existing MESA data.
The GEE and PHREG combination identified 15 significant risk factors associated with developing UI out of which six of them, namely, urinary frequency, urgency, any urine loss, urine loss after emptying, subject’s anticipation, and doctor’s proactivity, are found most highly significant by both methods.
These six factors are potential candidates for constructing a future UI predictive index.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ogunyemi, Theophilus O.& Siadat, Mohammad-Reza& Arslanturk, Suzan& Killinger, Kim A.& Diokno, Ananias C.. 2012. Novel Application of Statistical Methods to Identify New Urinary Incontinence Risk Factors. Advances in Urology،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-459651
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ogunyemi, Theophilus O.…[et al.]. Novel Application of Statistical Methods to Identify New Urinary Incontinence Risk Factors. Advances in Urology No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-459651
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ogunyemi, Theophilus O.& Siadat, Mohammad-Reza& Arslanturk, Suzan& Killinger, Kim A.& Diokno, Ananias C.. Novel Application of Statistical Methods to Identify New Urinary Incontinence Risk Factors. Advances in Urology. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-459651
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-459651
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر