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.

scholarly journals COVID-19 severity: Studying the clinical and demographic risk factors for adverse outcomes

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255999
Author(s):  
Naila Shoaib ◽  
Naila Noureen ◽  
Rimsha Munir ◽  
Farhad Ali Shah ◽  
Noshaba Ishtiaq ◽  
...  
Keyword(s):  
Risk Factors ◽  
Strong Association ◽  
Adverse Outcomes ◽  
Vulnerable Groups ◽  
Nasopharyngeal Swab ◽  
Rt Pcr ◽  
Cross Sectional ◽  
Severity Of The Disease ◽  
Demographic Risk ◽  
Demographic Risk Factors

Background The primary goal of the presented cross-sectional observational study was to determine the clinical and demographic risk factors for adverse coronavirus disease 2019 (COVID-19) outcomes in the Pakistani population. Methods We examined the individuals (n = 6331) that consulted two private diagnostic centers in Lahore, Pakistan, for COVID-19 testing between May 1, 2020, and November 30, 2020. The attending nurse collected clinical and demographic information. A confirmed case of COVID-19 was defined as having a positive result through real-time reverse transcriptase polymerase chain reaction (RT-PCR) assay of nasopharyngeal swab specimens. Results RT-PCR testing was positive in 1094 cases. Out of which, 5.2% had severe, and 20.8% had mild symptoms. We observed a strong association of COVID-19 severity with the number and type of comorbidities. The severity of the disease intensified as the number of comorbidities increased. The most vulnerable groups for the poor outcome are patients with diabetes and hypertension. Increasing age was also associated with PCR positivity and the severity of the disease. Conclusions Most cases of COVID-19 included in this study developed mild symptoms or were asymptomatic. Risk factors for adverse outcomes included older age and the simultaneous presence of comorbidities.

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 Domestic violence among female psychiatric patients: cross-sectional survey

2010 ◽  
Vol 34 (11) ◽  
pp. 461-464 ◽  
Author(s):  
John F. Morgan ◽  
Gabriella Zolese ◽  
Jane McNulty ◽  
Sharon Gebhardt
Keyword(s):  
Risk Factors ◽  
Domestic Violence ◽  
Physical Violence ◽  
Psychiatric Patients ◽  
Point Prevalence ◽  
Adult Women ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Demographic Risk ◽  
Demographic Risk Factors

Aims and methodTo establish prevalence of domestic violence among female psychiatric patients, including risk factors, health professional attention and acceptability of routine enquiry. Participants were 70 adult women in an inner-city community mental health team who received questionnaire and case-note review. Main outcome measures were: lifetime/point prevalence of domestic violence; attitudes to routine enquiry; past disclosure and recording in psychiatric records; clinical and demographic risk factors.ResultsLifetime prevalence was 60% for physical violence from partners, 27% during pregnancy and 40% receiving injuries. Point prevalence was not reported, as an insufficient number of participants were currently in a relationship. As many as 82% regarded routine enquiry as acceptable, but only 24% had ever been questioned. Logistic regression analysis showed prediction by presence of children, previous overdose, and experience of sexual abuse.Clinical implicationsDomestic violence in female psychiatric patients is common but undetected. Enquiry should be routine, but would require staff training.

scholarly journals Comparative Seroprevalence and Risk Factors of Toxoplasmosis among Four Subgroups in Port Harcourt, Nigeria

2020 ◽  
pp. 110-118
Author(s):  
Onosakponome Evelyn Orevaoghene ◽  
Michael Ndubuisi Wogu
Keyword(s):  
Risk Factors ◽  
Cross Sectional Study ◽  
Control Group ◽  
Monitoring And Control ◽  
Cross Sectional ◽  
Port Harcourt ◽  
Associated Risk Factors ◽  
Demographic Risk ◽  
Demographic Risk Factors ◽  
The Unemployed

Aims: This study was carried out to investigate the comparative seroprevalence and associated risk factors of toxoplasmosis among four subgroups in Port Harcourt viz: immunocompromised persons (HIV), pregnant women (PTW) and schizophrenics (SZN), using immunocompetent persons (IP) as controls. Study Design: A descriptive cross-sectional study was adopted. Place and Duration of Study: The study was carried out in the University of Port Harcourt Teaching Hospital (UPTH), Braithwaite Memorial Specialist Hospital (BMSH) and Neuro Psychiatric Hospital (NPH) between March 2016 and February 2017. Methodology: A total of 800 (200 from each of the group) samples were collected from subjects from the three hospitals. Study participants of ≥20 years were used in this study. The detection of T. gondii antibodies in examined sera was carried out using ELISA –IgG and IgM assay using standard procedures. Structured questionnaires were used to collect data on social demographic risk factors associated with toxoplasmosis. Results: Out of the 800 (200 per group) examined, SZN recorded the highest seroprevalence of IgG 50%(100)(P.= .05) and IgM 4%(8) followed closely by HIV subjects with seroprevalence of IgG 32%(72) (P=.05) and IgM 2%(3). However, the seroprevalence were not significantly different from that of the immunocompetent control group which had the least seroprevalence. Schizophrenia subjects in age group 20-24 years recorded the highest seroprevalence with (P=.05) The unemployed recorded the highest seroprevalence for SZN with rates of 43% for IgG. More males were infected with the disease than females. Male Schizophrenics recorded a seroprevalence of 20.9%. There was no significant relationship between seroprevalence and demographic factors among subjects. Conclusion: Our findings indicated that toxoplasmosis was relatively prevalent (P=.05) among the studied population, with schizophrenics having the highest seroprevalence. Therefore, incorporating detection of anti-Toxoplasma antibodies in routine testing in our health care centers is recommended for monitoring and control of the disease.

scholarly journals Skin aging risk factors: A nationwide population study in Mongolia

2021 ◽  
Author(s):  
Tuya Nanzadsuren ◽  
Tuul Myatav ◽  
Amgalanbaatar Dorjkhuu ◽  
Mandukhai Ganbat ◽  
Chuluunbileg Batbold ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sun Exposure ◽  
Skin Surface ◽  
Population Based ◽  
Skin Aging ◽  
World Population ◽  
Cross Sectional ◽  
Factors Associated ◽  
Demographic Risk ◽  
Demographic Risk Factors

The world population is aging and no country is immune to the consequences. We are not aware of any country-specific skin aging risk factors data for the Mongolian people. Thus, we aimed to study the risk factors associated with skin aging in the Mongolian population.  A population-based cross-sectional study of 2720 study participants 18 years of age and older was performed evaluating the severity of skin aging based on cutaneous microtopography. Questionnaire data and skin physiological measurements were obtained. The odds ratios for skin aging grades associated with risk factors were estimated using ordinal logistic regression. Study participant's mean age was 45 years, ranging from 18 to 87. After adjustment for known risk factors, skin aging was associated with demographic risk factors such as increasing age (aOR=1.19, 95% CI 1.18-1.20), living in an urban area (aOR=1.31, 95% CI 1.12-1.55) and working outside (aOR=1.44, 95% CI 0.88-2.39) and lifestyle factors including non-usage of sunscreen cream (aOR=1.09 95% CI 0.87-1.37), being a smoker (aOR=1.32, 95% CI 1.09-1.61), having a higher body mass index (BMI) (aOR=1.04, 95% CI 1.02-1.06) and higher levels of sun exposure time (aOR=1.03, 95% CI 1.00-1.06 ) were significantly associated with higher skin aging grades. Having dry (aOR=1.94, 95% CI 1.45-2.59) and combination skin (aOR=1.62, 95% CI 1.22-2.16) types were also independent risk factors associated with skin aging. Having very low skin surface moisture at the T-zone (aOR=2.10, 95% CI 1.42-3.11) and U-zone (aOR=1.25, 95% CI 0.95-1.65) were significantly related to skin aging. Older age, urban living, harsh working conditions, living in a ger district were independent demographic risk factors related to skin aging. Not using sunscreen cream, smoking, higher BMI, greater levels of sun exposure were significant lifestyle risk factors. Having a skin type other than normal was a physiologic risk factor for skin aging.

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