scholarly journals Meta-Analysis the Effect of Intrauterine Device Uptake on the Risk of Ectopic Pregnancy in Women of Reproductive Age

2021 ◽  
Vol 6 (2) ◽  
pp. 165-175
Author(s):  
Yulita Endah Mayaningrum ◽  
◽  
Eti Poncorini Pamungkasari ◽  
Bhisma Murti ◽  
◽  
...  
Keyword(s):  
Ectopic Pregnancy ◽  
Meta Analysis ◽  
Intrauterine Device ◽  
Reproductive Age ◽  
Women Of Reproductive Age

scholarly journals Iron preparations for women of reproductive age with iron deficiency anaemia in pregnancy (FRIDA): a systematic review and network meta-analysis

2021 ◽  
Vol 8 (7) ◽  
pp. e503-e512
Author(s):  
Ewelina Rogozińska ◽  
Jahnavi Daru ◽  
Marios Nicolaides ◽  
Carmen Amezcua-Prieto ◽  
Susan Robinson ◽  
...  
Keyword(s):  
Systematic Review ◽  
Iron Deficiency ◽  
Iron Deficiency Anaemia ◽  
Meta Analysis ◽  
Reproductive Age ◽  
Women Of Reproductive Age ◽  
Deficiency Anaemia ◽  
Anaemia In Pregnancy ◽  
In Pregnancy

Meta-Analysis the Effect of Obesity on Polycystic Ovary Syndrome in Women of Reproductive Age

2021 ◽  
Author(s):  
Nabila Aulia Tsaqifah ◽  
◽  
Rita Benya Adriani ◽  
Bhisma Murti ◽  
◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Reproductive Age ◽  
Women Of Reproductive Age ◽  
Ovary Syndrome

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 Meta-Analysis the Effect of Obesity on Polycystic Ovary Syndrome and Anemia in Women of Reproductive Age

2021 ◽  
Vol 6 (4) ◽  
pp. 409-422
Author(s):  
Nabila Aulia Tsaqifah ◽  
◽  
Rita Benya Adriani ◽  
Bhisma Murti ◽  
◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Reproductive Age ◽  
Women Of Reproductive Age ◽  
Ovary Syndrome

scholarly journals Relationship between hormonal contraceptives and sleep among women of reproductive age: a systematic review protocol

BMJ Open ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. e045819
Author(s):  
Jinhui Ma ◽  
Megan Cheng ◽  
Lehana Thabane ◽  
Caihong Ma ◽  
Ning Zhang ◽  
...  
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Research Question ◽  
Risk Of Bias ◽  
Reproductive Age ◽  
Hormonal Contraceptives ◽  
Controlled Trials ◽  
Cochrane Central Register ◽  
Women Of Reproductive Age

IntroductionThe aetiology of sleep disruptions is unknown, but hormonal fluctuations during the menstrual cycle, pregnancy and menopause have been shown to potentially affect how well a woman sleeps. The aim of this systematic review was to investigate whether hormonal contraceptives are associated with a decreased quality of sleep and increased sleep duration in women of reproductive age.MethodsThis review will analyse data from randomised controlled trials or non-randomised comparative studies investigating the association between hormonal contraceptives and sleep outcomes among women of reproductive age. Reviews addressing the same research question with similar eligibility criteria will be included. A literature search will be performed using the MEDLINE, Embase and Cochrane Central Register of Controlled Trials databases from inception to 7 March 2021. The Cochrane Collaboration’s Risk of Bias for Randomised Trials V.2.0 and The Risk of Bias for Non-randomised Studies of Interventions tool will be used to assess risk of bias for each outcome in eligible studies. Two reviewers will independently assess eligibility of studies and risk of bias and extract the data. All extracted data will be presented in tables and narrative form. For sleep measures investigated by two or more studies with low heterogeneity, we will conduct random-effects meta-analysis to estimate the magnitude of the overall effect of hormonal contraceptives. If studies included in this systematic review form a connected network, a network meta-analysis will be conducted to estimate the comparative effect of different contraceptives. The Grading of Recommendations, Assessment, Development, and Evaluation approach will be used to summarise the quality of evidence. Our protocol follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Protocols 2015 guidelines.Ethics and disseminationEthics approval is not required as data were sourced from previously reported studies. The findings of this review will be published in a peer-reviewed journal and presented at relevant conferences.PROSPERO registration numberCRD42020199958.

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