scholarly journals Risk factors associated with preterm birth in the Gaza Strip: hospital-based case-control study

2007 ◽  
Vol 13 (5) ◽  
pp. 1132-1141 ◽  
Author(s):  
Kh. Abu Hamad ◽  
Y. Abed ◽  
B. Abu Hamad
Keyword(s):  
Risk Factors ◽  
Preterm Birth ◽  
Case Control Study ◽  
Gaza Strip ◽  
Case Control ◽  
Factors Associated ◽  
The Gaza Strip ◽  
Control Study

scholarly journals Risk factors associated with preterm birth in the Dominican Republic: a case-control study

BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e045399
Author(s):  
Agustín Díaz-Rodríguez ◽  
Leandro Feliz-Matos ◽  
Carlos Bienvenido Ruiz Matuk
Keyword(s):  
Risk Factors ◽  
Preterm Birth ◽  
Dominican Republic ◽  
Case Control Study ◽  
Preterm Births ◽  
Case Control ◽  
Premature Births ◽  
Factors Associated ◽  
History Of ◽  
Control Study

ObjectivesThis study aimed to identify the risk factors associated with preterm birth, and to determine the prevalence of preterm births in the Dominican Republic.DesignCase-control study.SettingsSeven National Reference Hospitals from different regions of the Dominican Republic.ParticipantsA probabilistic sampling of both cases and controls was performed with a ratio of 2.92:1, and a power analysis was performed with α=0.05, P1=0.5, P2=0.6, and β=0.08, to yield a distribution of 394 cases and 1150 controls. Estimation of gestational age was based on neonatologist reports.Primary outcome measuresA protocol was created to obtain maternal and obstetric information.ResultsThe main risk factors were a family history of premature births (p<0.001, OR: 14.95, 95% CI 8.50 to 26.29), previous preterm birth (p=0.005, OR: 20.00; 95% CI 12.13 to 32.96), advanced maternal age (over 35 years; p<0.001, OR: 2.21; 95% CI 1.57 to 3.09), smoking (p<0.001, OR: 6.65, 95% CI 3.13 to 13.46), drug consumption (p=0.004, OR: 2.43, 95% CI 1.37 to 4.30), premature rupture of membranes (p<0.001, OR: 2.5) and reduced attendance at prenatal consultations (95% CI 6 to 7, Z=−10.294, p<0.001).ConclusionMaternal age greater than 35 years, previous preterm birth, family history of preterm births and prelabour rupture of membranes were independent risk factors for preterm birth. Adolescence, pregnancy weight gain and prenatal consultations, on the other hand, were protective factors for preterm birth. Although the prevalence of premature births in this study was 25%, this could have been biased.

scholarly journals Effects of sagging breasts and other risk factors associated with mastalgia: a case–control study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bülent Çomçalı ◽  
Servet Kocaoz ◽  
Buket Altun Özdemir ◽  
Ömer Parlak ◽  
Birol Korukluoğlu
Keyword(s):  
Risk Factors ◽  
Case Control Study ◽  
Coffee Consumption ◽  
Educational Status ◽  
Case Control ◽  
Tea Consumption ◽  
Drinking Alcohol ◽  
Factors Affecting ◽  
Factors Associated ◽  
Control Study

AbstractThe aim of this study is to compare patients with and without mastalgia and to analyze the factors affecting mastalgia and its severity. The patient’s age, height, weight, educational status, marital status, and occupation were recorded in all subjects. In addition, the women were asked about the presence of any risk factors for mastalgia, such as tea and coffee consumption, smoking, alcohol consumption, and weight gain. The sternal notch to nipple distance (SNND) was measured to determine whether there was breast sagging. Mastalgia was significantly more common in women with BMIs of > 30 kg/m2 (OR: 2.94, CI 1.65–5.24), those who were primary school graduates or illiterate (OR: 2.96, CI 1.6–5.46), and those with SNND values of 22–25 cm (OR: 2.94, CI 1.79–4.82). In these women, drinking more than 6 cups of tea a day (OR: 2.15, CI 1.32–3.5), smoking at least 10 cigarettes a day (OR: 2.94, CI 1.78–4.83), and drinking alcohol at least once a week (OR: 2.1, CI 1.12–3.91) were found to be important factors that increased the risk of mastalgia. As a result, it has been found that severe mastalgia complaints cause by obesity, sagging breasts, never giving birth, unemployment anxiety, regular smoking, alcohol use, and excessive tea consumption.

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