Demographic risk factors for pelvic organ prolapse: Do smoking, asthma, heavy lifting or family history matter?

2021 ◽  
Vol 261 ◽  
pp. 25-28
Author(s):  
Moshe Gillor ◽  
Paulina Saens ◽  
Hans Peter Dietz
Keyword(s):  
Risk Factors ◽  
Pelvic Organ Prolapse ◽  
Family History ◽  
Pelvic Organ ◽  
History Matter ◽  
Demographic Risk ◽  
Demographic Risk Factors

scholarly journals Prevalence and risk factors for pelvic organ prolapse in female citizens of Baku

2018 ◽  
Vol 99 (2) ◽  
pp. 187-194
Author(s):  
M Sh Askerova ◽  
L M Rzakulieva
Keyword(s):  
Risk Factors ◽  
Secondary Education ◽  
Pelvic Organ Prolapse ◽  
Family History ◽  
Medical History ◽  
Positive Family History ◽  
Age Groups ◽  
Pelvic Organ ◽  
Physical Work ◽  
Past Medical History

Aim. Study of prevalence and risk factors of pelvic organ prolapse in females in Baku. Methods. Statistical observation unit was a woman aged 45-74 years. The sample size (710 women) was determined taking into account probable prevalence of pelvic organ prolapse (20% according to literature) and margin of error (3%). All women were invited to maternity welfare centre, and a thorough examination was performed after their written consent was obtained. Results. The proportion of women aged 45-49, 50-54, 55-59, 60-64, 65-69, and 70-74 years was 26.5±1.7, 24.9±1.6, 23.1±1.6, 10.9±1.2, 8.2±1.0 and 6.4±0.9%, respectively. Prevalence of obesity in the named groups was 31.9, 34.5, 35.4, 36.4, 27.8 and 34.8%. Proportion of women with secondary and specialized secondary education was 58.5, 58.8, 53.7, 51.9, 51.7 and 67.4% resepctively. Among women of the corresponding age groups, physical work was recorded in 47.9, 53.7, 59.8, 58.4, 13.8 and 17.4% of cases, respectively. In past medical history, no surgeries were observed in 68.1, 77.4, 73.2, 77.9, 84.5 and 84.8% of cases, resepectively. Some women had no labour in past medical history (2.1, 2.3, 2.5, 2.6, 3.5 and 4.3% in the same age groups). Statistically significantly prevalence of pelvic organ prolapse increases among those aged 60 years and older (51.6±3.6% at age 45-49 years and ≥76.6±4.8% at age 60 years and older, р=0.001), with a body mass index less than 25.0 and more than 30 kg/м2 (69.7±3.3 and 66.7±3.0%, р=0.01), with high parity and remarkable family history (63.0±2.6, р=0.01), severe connective tissue dysplasia (72.6±2.5%, р=0.001), in postmenopausal period (63.8±2.0%, р=0.01), and depending on education level (88.0±2.4% among those with pre-secondary education: р=0.001). Relative risk of pelvic organ prolapse in the population of Baku is lower compared to the literature data in the background of obesity, but is higher in the background of positive family history and depending on the amount of deliveries (p=0.05). Conclusion. In Baku 59.9±1.8% of women aged 45-75 years have pelvic organ prolapse of different severity, incomplete uterine and vaginal prolapse are more prevalent (41.3±1.8 per 100 women); prevalence of pelvic organ prolapse is higher in women aged 60 years or older compared to those aged 45-49 (76.6±4.8% vs 51.6±3.6%, р=0.001).

scholarly journals Socio-demographic risk factors associated with febrile seizures at Puducherry: a retrospective study

2020 ◽  
Vol 7 (5) ◽  
pp. 1130
Author(s):  
Gobinaath . ◽  
Arun Daniel J.
Keyword(s):  
Risk Factors ◽  
Family History ◽  
Age At Onset ◽  
Febrile Seizures ◽  
Factors Associated ◽  
Younger Age ◽  
History Of ◽  
Demographic Risk ◽  
Tract Infections ◽  
Demographic Risk Factors

Background: Febrile seizures occur commonly in the under 5 age group and is associated with few risk factors causing its recurrence like very high fever, family history of seizures, low sodium levels and younger age of onset which are subject to seasonal and wide geographical variations. This study aimed at detecting the major risk factors associated with recurrent febrile seizures in an Indian population.Methods: A retrospective hospital-based study was conducted among a total of 300 cases aged 6 months to 5 years attending to the paediatric OPD with history of fever followed by febrile seizures. Information regarding socio-demographic and clinical variables associated with febrile seizure was collected and analyzed.Results: The mean age of the study participants was 25.6±2.2 months and majority (60%) were males. Family history of seizures was present in 25.3% (n=76) of the children with febrile seizures. Respiratory infections (73.3%) and gastroenteritis (17%) were the major infective reasons associated with the occurrence of febrile seizures followed by pneumonia (6.3%) and urinary tract infections (5%). Recurrence of FS was significantly higher among the children with family history of FS (p=0.009), age at onset lesser (p<0.001) and simple FS seizures.Conclusions: Younger age at onset and positive family history of seizures were important socio-demographic risk factors associated with recurrent febrile seizures.

scholarly journals Gut microbiome composition and risk factors in a large cross-sectional IBS cohort

2020 ◽  
Vol 7 (1) ◽  
pp. e000345 ◽  
Author(s):  
Melissa Agnello ◽  
Lauren N Carroll ◽  
Nabeel Imam ◽  
Rodolfo Pino ◽  
Christina Palmer ◽  
...  
Keyword(s):  
Risk Factors ◽  
Family History ◽  
Gastrointestinal Disorder ◽  
Health Conditions ◽  
Multivariable Logistic Regression Model ◽  
Cross Sectional ◽  
Microbiome Composition ◽  
Demographic Risk ◽  
Demographic Risk Factors ◽  
Log Ratio

ObjectiveIrritable bowel syndrome (IBS) is a common gastrointestinal disorder that is difficult to diagnose and treat due to its inherent heterogeneity and unclear aetiology. Although there is evidence suggesting the importance of the microbiome in IBS, this association remains poorly defined. In the current study, we aimed to characterise a large cross-sectional cohort of patients with self-reported IBS in terms of microbiome composition, demographics, and risk factors.DesignIndividuals who had previously submitted a stool sample for 16S microbiome sequencing were sent a comprehensive survey regarding IBS diagnosis, demographics, health history, comorbidities, family history, and symptoms. Log ratio-transformed abundances of microbial taxa were compared between individuals reporting a diagnosis of IBS without any comorbidities and individuals reporting no health conditions. Univariable testing was followed by a multivariable logistic regression model controlling for relevant confounders.ResultsOut of 6386 respondents, 1692 reported a diagnosis of IBS without comorbidities and 1124 reported no health conditions. We identified 3 phyla, 15 genera, and 19 species as significantly associated with IBS after adjustment for confounding factors. Demographic risk factors include a family history of gut disorders and reported use of antibiotics in the last year.ConclusionThe results of this study confirm important IBS risk factors in a large cohort and support a connection for microbiome compositional changes in IBS pathogenesis. The results also suggest clinical relevance in monitoring and investigating the microbiome in patients with IBS. Further, the exploratory models described here provide a foundation for future studies.

Clinical and Demographic Risk Factors for COVID-19 during Delivery Hospitalizations in New York City

2021 ◽  
Author(s):  
Desmond Sutton ◽  
Timothy Wen ◽  
Anna P. Staniczenko ◽  
Yongmei Huang ◽  
Maria Andrikopoulou ◽  
...  
Keyword(s):  
Risk Factors ◽  
New York ◽  
New York City ◽  
Logistic Regression ◽  
York City ◽  
Demographic Data ◽  
Outcome Data ◽  
Demographic Risk ◽  
Demographic Risk Factors ◽  
Zip Code

Objective This study was aimed to review 4 weeks of universal novel coronavirus disease 2019 (COVID-19) screening among delivery hospitalizations, at two hospitals in March and April 2020 in New York City, to compare outcomes between patients based on COVID-19 status and to determine whether demographic risk factors and symptoms predicted screening positive for COVID-19. Study Design This retrospective cohort study evaluated all patients admitted for delivery from March 22 to April 18, 2020, at two New York City hospitals. Obstetrical and neonatal outcomes were collected. The relationship between COVID-19 and demographic, clinical, and maternal and neonatal outcome data was evaluated. Demographic data included the number of COVID-19 cases ascertained by ZIP code of residence. Adjusted logistic regression models were performed to determine predictability of demographic risk factors for COVID-19. Results Of 454 women delivered, 79 (17%) had COVID-19. Of those, 27.9% (n = 22) had symptoms such as cough (13.9%), fever (10.1%), chest pain (5.1%), and myalgia (5.1%). While women with COVID-19 were more likely to live in the ZIP codes quartile with the most cases (47 vs. 41%) and less likely to live in the ZIP code quartile with the fewest cases (6 vs. 14%), these comparisons were not statistically significant (p = 0.18). Women with COVID-19 were less likely to have a vaginal delivery (55.2 vs. 51.9%, p = 0.04) and had a significantly longer postpartum length of stay with cesarean (2.00 vs. 2.67days, p < 0.01). COVID-19 was associated with higher risk for diagnoses of chorioamnionitis and pneumonia and fevers without a focal diagnosis. In adjusted analyses, including demographic factors, logistic regression demonstrated a c-statistic of 0.71 (95% confidence interval [CI]: 0.69, 0.80). Conclusion COVID-19 symptoms were present in a minority of COVID-19-positive women admitted for delivery. Significant differences in obstetrical outcomes were found. While demographic risk factors demonstrated acceptable discrimination, risk prediction does not capture a significant portion of COVID-19-positive patients. Key Points

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