A Meta-Analysis of Prenatal and Maternal Risk Factors for Childhood Leukemia in Iran, Case-Control Studies Approach

2017 ◽  
Vol 6 (1) ◽  
Author(s):  
Yousef Veisani ◽  
Ali Delpisheh
2020 ◽  
pp. 019394592096767
Author(s):  
Yuan Deng ◽  
Yan Huang ◽  
Ping Ning ◽  
Se-Ge Ma ◽  
Pei-Yu He ◽  
...  

This meta-analysis was conducted to identify maternal risk factors for lactational mastitis. Studies published in English or Chinese were retrieved from Medline (PubMed), Embase, Cochrane Library, Web of Science, CNKI, WANFANG, and VIP databases according to predefined inclusion and exclusion criteria. Study quality was assessed by the Newcastle–Ottawa Scale. A random-effects model was used for data pooling and I2 tests to assess study heterogeneity. Pooled data from 8 cohorts and 10 case–control studies identified previous mastitis during breastfeeding (P<0.00001), cesarean section (P=0.001), breast trauma (P<0.001), anemia (P=0.0001), latch problems ≤ 8 weeks post-delivery (P=0.003), milk overproduction (P=0.002), blocked duct (P<0.0001), cracked nipple (especially ≤ 4 weeks post-delivery) (P=0.0001), use of nipple shields (P<0.00001), nipple cream (P<0.0001), brassieres (P<0.0001), and breast pumps (P<0.00001), and breastfeed duration > 30 min (P=0.008) as significant risk factors. Washing nipples before breastfeeding decreased lactational mastitis risk. Identification of these risk factors may facilitate the development of nursing care protocols for reducing lactational mastitis.


1993 ◽  
Vol 137 (4) ◽  
pp. 415-422 ◽  
Author(s):  
Mayns P. Webber ◽  
Genevieve Lambert ◽  
David A. Bateman ◽  
W. Allen Hauser

2020 ◽  
Vol 112 (9) ◽  
pp. 688-698 ◽  
Author(s):  
Romy Putte ◽  
Iris A.L.M. Rooij ◽  
Cynthia P. Haanappel ◽  
Carlo L.M. Marcelis ◽  
Han G. Brunner ◽  
...  

2014 ◽  
Vol 54 (2) ◽  
pp. 110-115 ◽  
Author(s):  
Stelios Mavrogenis ◽  
Róbert Urban ◽  
Andrew E. Czeizel ◽  
Nándor Ács

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Sinja Alexandra Ernst ◽  
Tilman Brand ◽  
Anna Reeske ◽  
Jacob Spallek ◽  
Knud Petersen ◽  
...  

Objective. To identify care-related and maternal risk factors for the antenatal nondetection of IUGR.Methods. In this hospital-based case-control study we compared antenatally undetected IUGR neonates (cases) to detected IUGR neonates (controls). Data were collected using newborn documentation sheets and standardized personal interviews with the mothers. We calculated antenatal detection rates and used uni- and multivariable logistic regression models to assess the association of antenatal nondetection of IUGR and maternal and care-related factors.Results. A total of 161 neonates from three hospitals were included in the study. Suboptimal fetal growth was identified antenatally inn=77pregnancies while inn=84it was not detected antenatally (antenatal detection rate: 47.8%). Severity of IUGR, maternal complications, and a Doppler examination during the course of pregnancy were associated with IUGR detection. We did not find statistically significant differences regarding parental socioeconomic status and maternal migration background.Conclusions. In our study, about half of all pregnancies affected by suboptimal growth remained undetected. Future in-depth studies with larger study populations should further examine factors that could increase antenatal detection rates for IUGR.


2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Vijayalaxmi V. Mogasale ◽  
Enusa Ramani ◽  
Vittal Mogasale ◽  
Ju Yeon Park ◽  
Thomas F. Wierzba

Background. Unsafe water is a well-known risk for typhoid fever, but a pooled estimate of the population-level risk of typhoid fever resulting from exposure to unsafe water has not been quantified. An accurate estimation of the risk from unsafe water will be useful in demarcating high-risk populations, modeling typhoid disease burden, and targeting prevention and control activities. Methods. We conducted a systematic literature review and meta-analysis of observational studies that measured the risk of typhoid fever associated with drinking unimproved water as per WHO-UNICEF’s definition or drinking microbiologically unsafe water. The mean value for the pooled odds ratio from case-control studies was calculated using a random effects model. In addition to unimproved water and unsafe water, we also listed categories of other risk factors from the selected studies. Results. The search of published studies from January 1, 1990, to December 31, 2013 in PubMed, Embase, and World Health Organization databases provided 779 publications, of which 12 case-control studies presented the odds of having typhoid fever for those exposed to unimproved or unsafe versus improved drinking water sources. The odds of typhoid fever among those exposed to unimproved or unsafe water ranged from 1.06 to 9.26 with case weighted mean of 2.44 (95% CI: 1.65–3.59). Besides water-related risk, the studies also identified other risk factors related to socioeconomic aspects, type of food consumption, knowledge and awareness about typhoid fever, and hygiene practices. Conclusions. In this meta-analysis, we have quantified the pooled risk of typhoid fever among people exposed to unimproved or unsafe water which is almost two and a half times more than people who were not exposed to unimproved or unsafe water. However, caution should be exercised in applying the findings from this study in modeling typhoid fever disease burden at country, regional, and global levels as improved water does not always equate to safe water.


2013 ◽  
Vol 03 (02) ◽  
pp. 251-257 ◽  
Author(s):  
Hussain R. Saadi ◽  
Khadijah Shamsuddin ◽  
Rosnah Sutan ◽  
Serene A. Alshaham

Sign in / Sign up

Export Citation Format

Share Document