scholarly journals E-cigarette use among women of reproductive age: Impulsivity, cigarette smoking status, and other risk factors

2016 ◽  
Vol 92 ◽  
pp. 126-134 ◽  
Author(s):  
Laura L. Chivers ◽  
Dennis J. Hand ◽  
Jeff S. Priest ◽  
Stephen T. Higgins
Keyword(s):  
Risk Factors ◽  
Cigarette Smoking ◽  
Smoking Status ◽  
Reproductive Age ◽  
Cigarette Use ◽  
Women Of Reproductive Age

scholarly journals THE RISK FACTORS OF DYSMENORRHEA IN YOUNG WOMEN

2019 ◽  
Vol 72 (6) ◽  
pp. 1170-1174
Author(s):  
Donata Saulė Vilšinskaitė ◽  
Greta Vaidokaitė ◽  
Žygimantas Mačys ◽  
Žana Bumbulienė
Keyword(s):  
Risk Factors ◽  
Young Women ◽  
Smoking Status ◽  
Reproductive Age ◽  
Age At Menarche ◽  
Menstrual Pain ◽  
Women Of Reproductive Age ◽  
Menstrual Cycles ◽  
Nulliparous Women ◽  
Experience Pain

The Aim: To evaluate risk factors for dysmenorrhea in women of reproductive age and to review its characteristics. Material and Methods: A questionnaire was conducted among 354 women followed by a statistical analysis of the gathered data. Results: Among the interviewed women 84.2 % suffer from painful menstruations. Women under 25 years of age are more likely to experience pain, which reduces with age. Dysmenorrhea is more common among women whose menstrual cycles are irregular (92.5%) with a number of bleeding days 4–7 (90.7 %), though still occurring within the normal 21–35 days interval (87.6 %). Nulliparous women are more likely to experience menstrual pain (89.9 %). Conclusion: Dysmenorrhea depends on women’s age, length of menstrual bleeding, length of menstrual cycle and its regularity, age at menarche and parity, but does not depend on body mass index and smoking status.

scholarly journals Trends in Prevalence and Related Risk Factors of Overweight and Obesity among Women of Reproductive Age in Zimbabwe, 2005–2015

2019 ◽  
Vol 16 (15) ◽  
pp. 2758 ◽  
Author(s):  
Fadzai Mukora-Mutseyekwa ◽  
Hajo Zeeb ◽  
Lydia Nengomasha ◽  
Nicholas Kofi Adjei
Keyword(s):  
Risk Factors ◽  
Urban Areas ◽  
Smoking Status ◽  
Economic Status ◽  
Overweight And Obesity ◽  
Control Measures ◽  
Reproductive Age ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Women Of Reproductive Age

Background: The prevalence of non-communicable diseases is rising in low and middle-income countries (LMICs) such as Zimbabwe, yet, the risk factors associated with overweight and obesity among women in the country have not been explored. This study investigated the trends in prevalence and demographic, socioeconomic and behavioral risk factors of overweight and obesity among Zimbabwean women of reproductive age (15–49 years) from 2005–2015. Methods: Data from the 2005/2006, 2010/2011 and 2015 Zimbabwe Demographic and Health Survey (ZDHS) were analyzed. Multiple logistic regression models were used to examine the associations between demographic, socioeconomic, behavioral risk factors and obesity and overweight (body mass index (BMI) ≥ 25.0 kg/m2). We further estimated the prevalence of overweight and obesity over the period covered by the surveys. Results: The prevalence of overweight and obesity increased substantially from 25.0% in 2005 to 36.6% in 2015. Some of the risk factors for overweight and obesity were older age (40+) (adjusted odds ratio (aOR) = 4.73; 95% confidence interval (CI) = 3.73–6.01) in 2015, being married, high economic status, being employed, residence in urban areas and alcohol use. Educational attainment and smoking status were not associated with overweight and obesity across all surveys. Conclusions: We provide the first detailed analysis of trends and risk factors for overweight and obesity between 2005 and 2015 among women in Zimbabwe. The findings indicate that women of reproductive age are at high, and increasing, risk of excess weight. Thus, prevention and control measures are needed to address the high prevalence of overweight and obesity in Zimbabwe.

scholarly journals Cigarette smoking and e-cigarette use among university students in Queensland, Australia and New Zealand: results of two cross-sectional surveys

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e041705
Author(s):  
Ben Wamamili ◽  
Sheleigh Lawler ◽  
Mark Wallace-Bell ◽  
Coral Gartner ◽  
David Sellars ◽  
...  
Keyword(s):  
New Zealand ◽  
Cigarette Smoking ◽  
University Students ◽  
Multinomial Logistic Regression ◽  
Smoking Status ◽  
Cigarette Use ◽  
Dual Use ◽  
Cross Sectional ◽  
Free Spaces ◽  
And Gender

ObjectivesExamine the patterns of cigarette smoking and e-cigarette use (vaping), the perceived harm of e-cigarettes compared with tobacco cigarettes, and associations between smoking and vaping with student characteristics.DesignCross-sectional studies.SettingThe University of Queensland (UQ), Australia and eight New Zealand (NZ) universities.ParticipantsStudents at UQ: 4957 (70.8% aged <25 years, 63.0% women) and NZ: 1854 (82.5% aged <25 years, 60.1% women).MethodsΧ2 tests compared smoking by age and gender, and vaping by age, gender and smoking status. Two-sided p<0.05 was considered significant and 95% CIs reported where appropriate. Multinomial logistic regression examined associations between smoking and vaping (exclusive smoking, exclusive vaping, dual use and non-use) with age, gender and student type (domestic vs international).ResultsSmoking (UQ vs NZ, 95% CI): ever 45.2% (43.8% to 46.6%) vs 50.0% (47.7% to 52.3%), current 8.9% (8.1% to 9.7%) vs 10.4% (9.1% to 11.9%) and daily 5.2% (4.6% to 5.8%) vs 5.6% (4.6% to 6.7%), and not smoking in indoor 98.3% vs 87.7% or outdoor smoke-free spaces 83.8% vs 65.3%.Vaping (UQ vs NZ, 95% CI): ever 20.9% (19.8% to 22.1%) vs 37.6% (35.4% to 39.9%), current 1.8% (1.5% to 2.2%) vs 6.5% (5.4% to 7.7%) and daily 0.7% (0.5% to 1.0%) vs 2.5% (1.9% to 3.4%), and not vaping in indoor 91.4% vs 79.6% or outdoor smoke-free spaces 84.4% vs 71.3%. Of respondents, 71.7% (70.3% to 73.2%) vs 75.3% (72.9% to 77.6%) perceived e-cigarettes as less harmful than tobacco cigarettes.Men were more likely than women to smoke and vape, and to believe that e-cigarettes are less harmful. Regression models containing all predictors for smoking and vaping were significant and the effect of gender was significant for dual use, exclusive smoking and exclusive vaping (all p<0.01). Men had higher odds for smoking, vaping or dual use.ConclusionsResults suggest significant differences in patterns of smoking and vaping of university students in Australia and NZ, and a strong influence of gender on smoking and vaping.

scholarly journals Identifying risk factors of anemia among women of reproductive age in Rwanda - a cross-sectional study using secondary data from the Rwanda Demographic and Health Survey 2014/2015

2019 ◽  
Author(s):  
Dieudonne Hakizimana ◽  
Marie Paul Nisingizwe ◽  
Jenae Logan ◽  
Rex Wong
Keyword(s):  
Public Health ◽  
Risk Factors ◽  
Pregnant Woman ◽  
Intrauterine Device ◽  
Cross Sectional Study ◽  
Hemoglobin Level ◽  
Reproductive Age ◽  
Sectional Study ◽  
Women Of Reproductive Age ◽  
Cross Sectional

Abstract Background Anemia among Women of Reproductive Age (WRA) continues to be among the major public health problems in many developing countries, including Rwanda, where it increased in prevalence between the 2015 and 2010 Rwanda Demographic and Health Survey (RDHS) reports. A thorough understanding of its risk factors is necessary to design better interventions. However, to the best of our knowledge, no study has been conducted in Rwanda on a nationally representative sample to assess factors associated with anemia among WRA. Accordingly, this study was conducted to address such gap. Methods A quantitative, cross-sectional study was conducted using data from the RDHS 2014-2015 report. The study population consisted of 6680 WRA who were tested for anemia during the survey. Anemia was defined as having a hemoglobin level equal to or below 10.9 g/dl for a pregnant woman, and hemoglobin level equal to or below 11.9 g/dl for a non-pregnant woman. Pearson’s chi-squared test and multiple logistic regression were conducted for bivariate and multivariable analysis, respectively. Results The prevalence of anemia among WRA was 19.2% (95% CI: 18.0 - 20.5). Four factors were found to be associated with lower odds of anemia, including being obese (OR: 0.61, 95% CI: 0.40 - 0.91), being in the rich category (OR: 0.74, 95% CI: 0.63 - 0.87), sleeping under a mosquito net (OR: 0.85, 95% CI: 0.74 - 0.98), and using hormonal contraceptives (OR: 0.61, 95% CI: 0.50 - 0.73). Five factors were associated with higher odds of anemia, including being underweight (OR: 1.39, 95% CI: 1.09 - 1.78), using an intrauterine device (OR: 1.98, 95% CI: 1.05 - 3.75), being separated or widowed (OR: 1.35, 95% CI: 1.09 - 1.67), and living in the Southern province (OR: 1.45, 95% CI: 1.11 - 1.89) or in the Eastern province (OR: 1.41, 95% CI: 1.06 - 1.88). Conclusion Anemia continues to pose public health challenges; novel public health interventions should consider geographic variations in anemia risk, seek to improve women’s economic statuses, and strengthen iron supplementation especially for Intrauterine device users. Additionally, given the association between anemia and malaria, interventions to prevent malaria should be enhanced.

scholarly journals Vaping and subsequent comorbidities potentially associated with increased mortality and more severe illness in COVID-19: a narrative review

2021 ◽  
Keyword(s):  
Risk Factors ◽  
Cigarette Smoking ◽  
Health Risks ◽  
Older Patients ◽  
Significant Risk ◽  
Self Report ◽  
Severe Illness ◽  
Protective Effects ◽  
Cigarette Use

Introduction: COVID-19 (or COVID) is a highly virulent viral disease which more frequently presents severe infection in specific populations, such as the elderly, patients with hypertension, patients with respiratory disease, and patients who smoke. The effects vaping (i.e., an electronic cigarette or JUUL device) has on COVID progression remains unclear, because there is an information paucity correlating e-cigarette use and COVID. This review sought to identify links between vape use and COVID severity via literature review. Additionally, because there is more widespread information about cigarette smoking than about vaping, this review sought to illustrate commonalities between smoking and vaping. If smoking and vaping are deemed near-identical practices, then it is possible the effects of smoking on human health and on COVID disease could be comparable in vaping. Methods: Several searches were performed on PubMed with MeSH headings and JSTOR between 17 December 2020 and 22 December 2020. Search results were excluded if they were not trials or controlled clinical trials, if the articles were not about COVID, if the articles were about smoking behaviors or habits, or if the articles were not related to vaping or smoking. Key findings were summarized and tabled based on relevance, substantiability, and applicability to COVID. Results: Multiple sources viewed smoking and vaping as equal risk factors for COVID disease, whereas other sources viewed the two as unique risk factors. Because of this controversy, it is challenging to view the two practices as similar enough to pose equivalent risks for COVID. Both practices pose significant health risks to its users, but these health risks are unique to each practice. Discussion: There are several limitations which exacerbate ambiguity—(1) it is unclear how harmful smoking is for COVID patients, because several publications found smoking may have protective effects; (2) few older patients vape, but yet most severe COVID cases occur in older populations; (3) older patients and impoverished patients show a statistically significant risk for severe COVID disease independent of other factors; (4) vaping is a relatively new practice, and there are few patients who self-report long-term e-cigarette use or long-term adverse effects as a result thereof. Conclusion: Although vaping may present serious health risks, clinically, it is uncertain how significantly vaping affects COVID disease, especially when compared against cigarette smoking. More research is needed on both the effects of vaping on COVID and the likeness of vaping versus smoking.

scholarly journals Risk factors for Toxoplasma gondii infection in women of reproductive age in northern Kosovska Mitrovica

Praxis medica ◽  
2015 ◽  
Vol 44 (4) ◽  
pp. 35-38
Author(s):  
Jelena Aritonovic-Pribakovic ◽  
N. Katanic ◽  
R. Katanic ◽  
A. Ilic ◽  
V. Minic ◽  
...  
Keyword(s):  
Risk Factors ◽  
Toxoplasma Gondii ◽  
Reproductive Age ◽  
Women Of Reproductive Age ◽  
Toxoplasma Gondii Infection

scholarly journals Prevalence of sexually transmitted infections at a tertiary hospital in Tamil Nadu

2017 ◽  
Vol 6 (8) ◽  
pp. 3573
Author(s):  
Durga K. ◽  
Karthika K.
Keyword(s):  
Risk Factors ◽  
Sexually Transmitted Infections ◽  
Tamil Nadu ◽  
Tertiary Hospital ◽  
Good Evidence ◽  
Reproductive Age ◽  
Women Of Reproductive Age ◽  
Asymptomatic Group ◽  
Major Health Problem ◽  
Sexually Transmitted

Background: Sexually transmitted infections (STIs) present a huge burden of disease and adversely affect the reproductive health of people. The disease prevalence is about 6% in India. This study is done to determine the prevalence of STIs in women of reproductive age (15-49yrs) attending gynaec outpatient block at Institute of Obstetrics and Gynaecology, Chennai and to identify the risk factors.Methods: It is a prospective analytical study conducted at IOG from Febraury 2010 to January 2011 where 1000 women of reproductive age attending gynec op were included of which 500 women were asymptomatic and 500 women were symptomatic for STIs. A well-structured proforma was prepared for selection of women, history, examination, investigations and treatment. Asymptomatic women were also screened and treated. Partners were also screened and treated. Depending upon the statistical data, the risk factors were identified and analysed.Results: Overall prevalence of STI was 27.2% of which 22.5% was in symptomatic group and 4.7% in asymptomatic group. Bacterial vaginosis was the commonest STI. The important risk factors identified were age group between 26-30 years, high risk sexual behaviours, poor socioeconomic factors, poor menstrual hygiene and lack of contraception.Conclusions: STIs cause major health problem and it is important to diagnose and treat them at the earliest. The importance of STIs has been more widely recognised since the advent of the HIV/AIDS epidemic, and there is good evidence that their control can reduce HIV transmission. Women diagnosed with one STI should be screened for other STI due to coexistant infections. Screening and treatment of partners and follow-up tests of cure should be performed wherever possible.

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