Objectives: To determine the prevalence, risk factors of urinary incontinence (UI) and to assess its impact on the quality of women’s life. Methods: This cross-sectional study was performed 1050 female participants aged between 20-80 years. A questionnaire form, including the socio-demographic characteristics and risk factors and the "International Consultation on Incontinence Questionnaire-Short Form" were used for the data collection. Results: The mean age of women was 48.80±11.53 years. The prevalence of UI was 44.6%. The distribution of the types of UI was 31% stress incontinence, 47.4% urge, and 33.1% mixed type. Although 95.5% of the women reported a negative impact on the quality of life, admission to a health center was only 63.9%, and 64.7% of the women had not received any medical help. The statistical analysis revealed that menopause, constipation, hypertension, diabetes, family history and parity are associated with UI as risk factors. Conclusion: We suggest that in the early diagnosis and treatment of urinary incontinence (UI), mental, educational and psychosocial support should be given to patients together with medical therapy.

With the potential of Industry 4.0 technologies to enable sustainable manufacturing, asset life cycle management (ALCM) has been gaining increasing attention in recent years. This study explores the evolution of Industry 4.0 technology applications to sustainable ALCM from 2002 to 2021. This study is based on keywords collected from 3896 ALCM-related scientific articles published in the Web of Science, IEEE Xplore and Engineering Village between 2002 and 2021. We conducted a review analysis of these keywords using a network science-based methodology, which unlike the tedious traditional literature review methods, gives the capability to analyze a huge number of scientific articles efficiently. We built keyword co-occurrence networks (KCNs) from the keywords and explored the network characteristics to uncover meaningful knowledge patterns, knowledge components, knowledge structure, and research trends in the body of literature at the intersection of ALCM and Industry 4.0. The network modeling and data analysis results identify the emerging Industry 4.0-related keywords in ALCM literature and indicate the recent explosion of connectivity among keywords. We found IoT, predictive maintenance and big data to be the top three most popular Industry 4.0-related keywords in ALCM literature. Furthermore, this study maps relevant ALCM keywords in contemporary literature to the nine pillars of Industry 4.0 to help the responsible manufacturing community identify research trends and emerging technologies for sustainability.

Sequential use of misoprostol and Foley catheter is safe and effective in second trimester pregnancy termination for patients with and without CS scars.