Factors associated with overactive bladder syndrome in the elderly community: a cross-sectional study

Abstract Objective: to identify risk factors related to overactive bladder syndrome. Method: a cross-sectional study was performed with elderly women (>60 years) from the community of Ceilândia, in the Distrito Federal, Brazil, with or without symptoms of OBS, who were evaluated through interviews and questionnaires. The clinical and sociodemographic variables analyzed were: age; body mass index (BMI); parity, schooling, previous abdominal and urogynecologic surgeries, physical activity, smoking, constipation, systemic arterial hypertension (SAH), diabetes mellitus; depression and anxiety. The questionnaires applied were the Overactive Bladder Awareness Tool (OAB-V8), the Geriatric Depression Scale and the Beck Anxiety Scale. Data were analyzed descriptively. Binary logistic regression was used to evaluate the significant associations between the independent variables and the outcome of interest. Risk ratios were calculated for each independent variable with 95% confidence intervals. Result: A total of 372 volunteers were recruited, 292 of whom were eligible. Of these, 172 were allocated to the case group (58.9%) and 120 (41.1%) were control subjects. The two groups were homogeneous between one another. There was a high prevalence of OBS in the study population and significant differences for the variables presence of SAH, abdominal surgery and pelvic surgery, with the case group presenting a higher frequency of these events. In multivariate analysis, it was observed that an active sexual life reduces the chance of having OBS by 70.8%, while urogynecologic surgeries increase this risk 3.098 times. Conclusion: In univariate logistic regression analysis, BMI, SAH, a previous history of abdominal and urogynecologic surgery, number of abortions and the presence of symptoms of depression and anxiety, were found to be factors associated with OBS.

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Anorectal pathology amongst HIV infected patients attending the Douala General Hospital: a cross-sectional study

International Journal of STD & AIDS ◽

10.1177/0956462416650817 ◽

2016 ◽

Vol 28 (4) ◽

pp. 389-396 ◽

Cited By ~ 3

Author(s):

Henry Namme Luma ◽

Servais Albert Fiacre Bagnaka Eloumou ◽

Ellis Atemlefeh Fualefeh-Morfaw ◽

Agnes Malongue ◽

Elvis Temfack ◽

...

Keyword(s):

Logistic Regression ◽

General Hospital ◽

Laboratory Data ◽

Study Participant ◽

Cross Sectional Study ◽

Interquartile Range ◽

People Living With Hiv ◽

Sectional Study ◽

Cross Sectional ◽

Factors Associated

While gastrointestinal disease is common among HIV infected individuals, the prevalence and distribution of ano-rectal pathology has not been well studied in our setting. The objective of this study therefore was to determine the prevalence and determinants of ano-rectal pathology in HIV infected patients attending the Douala General Hospital HIV treatment centre. A hospital-based cross-sectional study was undertaken. We collected socio-demographic, clinical and laboratory data using a structured questionnaire and patients’ files. Each study participant had a full physical and ano-rectal examination. We further studied factors associated with having at least one ano-rectal lesion by logistic regression reporting odds ratios (ORs) and their 95% confidence intervals (CI). We included 390 HIV infected patients. The mean age was 41 (SD: 8) years and 48% were men. Median duration since HIV diagnosis was 3 (interquartile range: 2–5) years and median CD4 cell count was 411 (interquartile range: 234–601) cells/mm3. Prevalence of ano-rectal pathology was 22.8% (95% CI: 18.7–27.3). Hemorrhoids and proctitis were most common lesions found; each in 10% of patients. From multivariate logistic regression, factors associated with ano-rectal pathology were CD4 < 350 cells/ml (OR: 2.1, 95% CI: 1.1–4.2), not on highly active antiretroviral therapy (OR: 2.2, 95% CI: 1.1–4.6), inpatient (OR: 2.3, 95% CI: 1.2–4.3), ano-rectal intercourse (OR: 5.0, 95% CI: 1.7–15.1), and more than one sexual partner (OR: 2.4, 95% CI: 1.3–4.2). Ano-rectal pathology is common amongst HIV infected patients. Care givers should actively investigate and treat them as this will improve the quality of life of people living with HIV/AIDS.

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Symptoms of Depression and Anxiety, and Screening for Mental Disorders in Migrainous Patients

Cephalalgia ◽

10.1046/j.1468-2982.2003.00461.x ◽

2003 ◽

Vol 23 (2) ◽

pp. 79-89 ◽

Cited By ~ 12

Author(s):

F Kowacs ◽

MP Socal ◽

SC Ziomkowski ◽

VF Borges-Neto ◽

DP Toniolo ◽

...

Keyword(s):

Logistic Regression ◽

Mental Disorders ◽

Healthy Subjects ◽

Univariate Analysis ◽

Cross Sectional Study ◽

Depression And Anxiety ◽

Sectional Study ◽

Cross Sectional ◽

Symptoms Of Depression ◽

Gender Education

The purpose of this clinic-based study was the assessment of symptoms of depression, anxiety, and non-specific psychiatric disorders amongst patients with migraine, compared with healthy subjects and with individuals with a non-neurological chronic disease. A cross-sectional study was carried out in which 178 individuals (migraine 51; psoriasis 35; healthy 92) were submitted to three scales: MADRS (depression), STAI-T (anxiety) and SRQ (screening for mental disorders). The subjects with migraine and psoriasis were from the Out-patient Clinics of Headache and of Dermatology, and the healthy volunteers were persons who were accompanying out-patients in the same hospital. Scores were analysed by MANOVA and by association analysis and logistic regression. Scores of all instruments were higher in the migrainous group, but the univariate analysis of association (using cut-offs) showed significance only for suspicion of mental disorders (SRQ). By logistic regression, variables with strongest association to migraine were gender, education, and SRQ in decreasing order.

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Internet Addiction and its Associated Factors Among Dilla University Undergraduate Students, Dilla, Ethiopia, 2019: A Cross-Sectional Study

10.21203/rs.3.rs-432680/v1 ◽

2021 ◽

Author(s):

Nebiyu Mengistu ◽

Desalegn Tarekegn ◽

Wondwosen Molla ◽

Seid Shumye

Keyword(s):

Logistic Regression ◽

University Students ◽

Undergraduate Students ◽

Internet Addiction ◽

Associated Factors ◽

Internet Use ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Factors Associated

Abstract Background: Internet addiction is characterized by excessive or poorly controlled preoccupation, urges or behavior regarding computer use and internet access that lead to impairment or distress. Globally, it has been found that the occurrence rate of internet addiction among university students ranges from 0.8% to 47.7%. Despite, there are multiple challenges that related with internet addiction which remains under-recognized and largely ignored by stakeholders and also not well known especially in low income countries including Ethiopia. Therefore, this study was conducted aimed to assess the magnitude of the internet addiction and its associated factors among undergraduate students. Methods: Institutional based cross-sectional study was employed from May 1st to June 1st 2019. Multi-stage sampling technique was used to get a total of 846 undergraduate Students. Data was collected by using self-administered structured questionnaires of Young’s Internet Addiction Test. The collected data was coded and entered into EPIDATA 3.1 and analyzed by using SPSS version 22, Bivariate and multivariate logistic regression analysis was conducted to identify factors associated with internet addiction and statistically significant was considered at P-value <0.05. Results: A total of 846 study participants, giving a response rate were 761 (90%) and the prevalence of internet addiction was 19.4%. Multiple logistic regression model revealed that being male [AOR=1.69, 95% CI: (1.80, 6.41)], probable depression [AOR =3.61, 95% CI (2.40, 5.43)] and khat or caffeinated drinks [AOR=1.86, 95%CI: (1.21, 2.87)] were significantly associated with internet addiction.Conclusion: This study revealed that a high prevalence of internet addiction among Dilla university students and there were various factors associated with increased prevalence of problematic internet use. Therefore, students need to be educated about safe, valuable, and healthy practice of internet use and better to counsel on substance use and its consequences and also psychiatric evaluation (referring for mental health services) to overcome the anticipated increase in internet addiction

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Prevalence and Factors Associated with Depression and Anxiety Among First-Year University Students in Bangladesh: A Cross-Sectional Study

International Journal of Mental Health and Addiction ◽

10.1007/s11469-020-00242-y ◽

2020 ◽

Cited By ~ 5

Author(s):

Saiful Islam ◽

Rejina Akter ◽

Tajuddin Sikder ◽

Mark D. Griffiths

Keyword(s):

University Students ◽

Cross Sectional Study ◽

First Year ◽

Depression And Anxiety ◽

Sectional Study ◽

Cross Sectional ◽

Factors Associated ◽

First Year University

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Random forest algorithm to identify factors associated with sports-related dental injuries in 6 to 13-year-old athlete children in Hamadan, Iran-2018 -a cross-sectional study

BMC Sports Science Medicine and Rehabilitation ◽

10.1186/s13102-020-00217-5 ◽

2020 ◽

Vol 12 (1) ◽

Author(s):

Maryam Farhadian ◽

Sima Torkaman ◽

Farzad Mojarad

Keyword(s):

Logistic Regression ◽

Random Forest ◽

Cross Sectional Study ◽

Machine Learning Algorithms ◽

Sectional Study ◽

Sports Activity ◽

Cross Sectional ◽

Dental Injury ◽

Factors Associated ◽

Dental Injuries

Abstract Background Traumatic dental injuries are one of the most important problems with major physical, aesthetic, psychological, social, functional and therapeutic problems that adversely affect the quality of life of children and adolescents. Recently the development of methods based on machine learning algorithms has provided researchers with more powerful tools to more accurate prediction in different domains and evaluate the factors affecting different phenomena more reliably than traditional regression models. This study tries to investigate the performance of random forest (RF) in identifying factors associated with sports-related dental injuries. Also, the accuracy of the RF model for predicting sports-related dental injuries was compared with logistic regression model as traditional competitor. Methods This cross-sectional study was applied to 356 athlete children aged 6 to 13-year-old in Hamadan, Iran. Random forest and logistic regression constructed by using sports-related dental injuries as response variables and age, sex, parent’s education, child’s birth order, type of sports activity, duration of sports activity, awareness regarding the mouthguard, mouthguard use as input. A self-reported questionnaire was used to obtain information. Results Fifty-five (15.4%) subjects had experienced a sports-related dental injury. The mean age of children with sports injuries was significantly higher than children without the experience of injury (p = 0.006). The prevalence of injury was significantly higher in boys (p = 0.008). Children with illiterate mothers are more likely to be injured than children with educated mothers (p = 0.045). Awareness of mouthguard and its use during exercise has a significant effect on reducing the prevalence of injury among users (p < 0.001). Random forest model has a higher prediction accuracy (89.3%) for predicting sports-related dental injuries compared to the logistic regression (84.2%). The results of the relative importance of variables, based on RF showed, mouthguard use, and mouthguard awareness has more contributed importance in dental sport-related injuries’ prediction. Subsequently, the importance of sex and age is in the next position. Conclusions Using predictive models such as RF challenges existing inaccurate predictions due to high complexity and interactions between variables would be minimized. This helps to achieve more accurate identification of factors in sport-related dental injury among the general population of children.

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Prevalence and Factors Associated with Depression and Anxiety of Hospitalized Patients with COVID-19 in St. Peter Specialized Hospital Treatment Centers

10.26420/austinpsychiatry.2021.1009 ◽

2021 ◽

Vol 4 (1) ◽

Author(s):

Dereseh BA ◽

◽

Abraha M ◽

Haile K ◽

Fanta T ◽

...

Keyword(s):

Mental Health ◽

Social Support ◽

Cross Sectional Study ◽

Anxiety And Depression ◽

Hospital Treatment ◽

Depression And Anxiety ◽

Sectional Study ◽

Cross Sectional ◽

Factors Associated ◽

Specialized Hospital

Background: Since December 2019, an outbreak of corona virus disease 2019(COVID-19), caused by the Severe Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV-2) has widely and rapidly spread in China and around the world. Since 31 December 2019 and as of 30 April 2020, more than 25,000,000 cases of COVID-19 and 800,000 deaths have been reported. The grim epidemic has caused increasing public panic and mental health stress. Mental health is becoming an issue that cannot be ignored, while trying to control the outbreak. Cross sectional study was conducted to assess magnitude and factors associated depression among patients with COVID-19 in St. Peter Specialized Hospital Treatment Centers Addis Ababa, Ethiopia. Methods: Institutional based cross-sectional study was conducted among 422 Patients with COVID-19 admitted at St. Peter Specialized Hospital COVID-19 treatment center. The Anxiety and Depression was assessed through face to face interviews by trained psychiatry nurses using 14-items Hospital Anxiety and Depression Scale (HADS).Correlates for depression & anxiety were assessed using a structured questionnaire and Oslo social support scale. Result: A total of 373 participants were volunteer to be included in the study which makes the response rate88.4%. The mean age of the respondents was 37.46 (±SD=16.09) years. This study revealed that the Magnitude of Depression 36.5 % (136) and Anxiety 21.2 % (79) among COVID-19 patients. By using Multivariate (Anxiety) Logistic Regression, Patients who were Male (AOR 5.01, 95%CI (2.11, 11.87)), Housewife (AOR 11.43, 95%CI ( 2.67, 48.90)), Selfemployed (AOR 2.45,, 95%CI (1.07, 5.60)), having Diagnosed Chronic illness (AOR 2.56, 95%CI (1.19, 5.53)), having COVID-19 Symptoms for below 7 days and for 8-14 days ((AOR 3.21, 95%CI (1.21, 8.58)) & AOR 3.70, 95%CI (1.55, 8.84)) respectively) and those who had Poor/low Social Support (AOR 3.42, 95%CI (1.21, 9.63)) had Statistically Significant Association with Anxiety. By using Multivariate (Depression) Logistic Regression, Patients who were 41 and above years of old (AOR 3.95, 95% CI (1.80, 8.69)), had Monthly Income of less than 1000 birr (AOR 2.99, 95%CI (1.11, 8.05)), Having COVID-19 Symptoms for 8-14 days (AOR 2.63, 95% CI (1.34, 5.17)) and who had Poor Social Support (AOR 3.13, 95% CI (1.34, 7.30)) were Statistically Significant Associated with Depression. Conclusion: In the current study area the magnitude of depression and anxiety was high. Factors like sex, Job, having Diagnosed Chronic illness, Duration of COVID-19 symptom and social support with anxiety and factors such as age, income, duration of COVID-19 symptom and social support had statistically significant associated with depression.

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Self-management and its associated factors among people living with diabetes in Blantyre, Malawi: a cross-sectional study

AAS Open Research ◽

10.12688/aasopenres.12992.2 ◽

2021 ◽

Vol 2 ◽

pp. 161

Author(s):

Chimwemwe Kwanjo Banda ◽

Belinda T. Gombachika ◽

Moffat J. Nyirenda ◽

Adamson Sinjani Muula

Keyword(s):

Logistic Regression ◽

Self Efficacy ◽

Social Cognitive ◽

Management Practices ◽

Cross Sectional Study ◽

The Self ◽

Self Management ◽

Sectional Study ◽

Cross Sectional ◽

Factors Associated

Background: Self-management is key to the control of glycaemia and prevention of complications in people with diabetes. Many people with diabetes in Malawi have poorly controlled glucose and they experience diabetes-related complications. This study aimed to assess diabetes self-management behaviours and to identify factors associated with it among people with diabetes at Queen Elizabeth Central Hospital, Blantyre, Malawi. Methods: This cross-sectional study recruited 510 adults attending a diabetes clinic at a teaching referral hospital in southern Malawi. The social cognitive theory was applied to identify factors associated with following all recommended self-management behaviours. Data on participants’ demographics, clinical history, diabetes knowledge, self-efficacy, outcome expectations, social support, environmental barriers and diabetes self-management were collected. Univariate and multivariate logistic regression analyses were conducted to identify factors associated with following all self-management behaviours. Results: The mean age of participants was 53.6 (SD 13.3) years. The majority (82%) were females. Self-reported medication adherence within the last seven days was 88.6%; 77% reported being physically active for at least 30 minutes on more than three days in the previous seven days; 69% reported checking their feet every day and inspecting inside their shoes; 58% reported following a healthy diet regularly. Only 33% reported following all the self-management behaviours regularly. Multiple logistic regression analysis showed that self-efficacy was the only social cognitive factor associated with following all the self-management practices (p < 0.001). Conclusions: Participants in our study were not consistently achieving all self-management practices with dietary practices being the least adhered to behaviour by many. To improve self-management practices of people with diabetes, current health education programs should not only aim at improving diabetes related knowledge but also self-efficacy. Adopting interventions that promote self-efficacy in diabetes patients such as exposure to role models, peer education, providing positive feedback, and counselling is recommended.

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Prevalence and factors associated with depressive, anxiety and stress symptoms among women with gestational diabetes mellitus in tertiary care centres in Malaysia: a cross-sectional study

BMC Pregnancy and Childbirth ◽

10.1186/s12884-019-2519-9 ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 6

Author(s):

Kai Wei Lee ◽

Siew Mooi Ching ◽

Fan Kee Hoo ◽

Vasudevan Ramachandran ◽

Seng Choi Chong ◽

...

Keyword(s):

Cross Sectional Study ◽

Multiple Logistic Regression ◽

Depression And Anxiety ◽

Sectional Study ◽

Cross Sectional ◽

Factors Associated ◽

Stress Symptoms ◽

History Of ◽

Family History Of Depression ◽

History Of Depression

Abstract Background Research on antenatal depressive, anxiety and stress symptoms among women with gestational diabetes mellitus (GDM) is lacking in Malaysia. This study aimed to determine the prevalence and factors associated with antenatal depressive, anxiety and stress symptoms among Malaysian women with GDM. Methods This was a descriptive, cross-sectional study of 526 women with GDM. Depressive, anxiety and stress symptoms are defined as the final score in mild to extremely severe risk in the severity rating scale. Data analysis was performed using SPSS v.21, while multiple logistic regression was used to identify predictors of depressive, anxiety and stress symptoms. Results Prevalence of anxiety symptoms was highest (39.9%), followed by depressive symptoms (12.5%) and stress symptoms (10.6%) among women with GDM. According to multiple logistic regression analyses, younger age (OR = 0.955, 95% CI = 0.919–0.993), comorbidity with asthma (OR = 2.436, 95% CI = 1.219–4.870) and a family history of depression and anxiety (OR = 4.782, 95% CI = 1.281–17.853) had significant associations with antenatal anxiety symptoms. Being non-Muslim (OR = 2.937, 95% CI = 1.434–6.018) and having a family history of depression and anxiety (OR = 4.706, 95% CI = 1.362–16.254) had significant associations with antenatal depressive symptoms. Furthermore, being non-Muslim (OR = 2.451, 95% CI = 1.273–4.718) had a significant association with antenatal stress symptoms. Conclusions Within a population of women with GDM in Malaysia, those at higher risk of having depressive, anxiety and stress symptoms can be identified from several baseline clinical characteristics. Clinicians should be more alert so that the high-risk patients can be referred earlier for further intervention.

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Factors Associated With Low Back Pain In Patients With Lumbar Spinal Stenosis: A Cross-Sectional Study

10.21203/rs.3.rs-1041772/v1 ◽

2021 ◽

Author(s):

Izaya Ogon ◽

Kousuke Iba ◽

Hiroyuki Takashima ◽

Yoshinori Terashima ◽

Mitsunori Yoshimoto ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Low Back Pain ◽

Roc Analysis ◽

Cross Sectional Study ◽

Low Back ◽

Sectional Study ◽

Cross Sectional ◽

Factors Associated ◽

Lumbar Spinal

Abstract Background: Low back pain (LBP) is a major symptom of lumbar spinal stenosis (LSS). To develop better treatment, it is important to assess LBP in patients with LSS. This study aimed to analyze the factors associated with LBP in patients with LSS.Methods: This cross-sectional study included consecutive patients with LSS aged between 51 and 79 years who had symptoms in one or both legs with or without LBP. The participants were classified into two groups: the high group (LBP visual analog scale [VAS] score of 30 mm or more) and the low group (LBP VAS score of less than 30 mm). We performed multiple logistic regression analysis with the high and low groups as dependent variables and a receiver operating characteristic (ROC) analysis.Results: A total of 80 patients with LSS were included (35 men and 45 women; mean age 64.5 years), with 47 and 30 patients in the high and low groups, respectively. Multivariate logistic regression analysis revealed that the sagittal vertical axis (SVA; + 1; odds ratio [OR], 1.029; 95% confidence interval [CI], 1.005−1.052) and pelvic incidence (PI)-lumbar lordosis (LL; + 1; OR, 1.065; 95% CI 1.019–1.168) were significantly associated with LBP. ROC analysis revealed cut-off values of 47.0 mm and 30.5° of PI-LL, respectively.Conclusion: These cut-off values could have a high specificity and positive predictive value for LBP in patients with LSS due to spinopelvic malalignment. However, these cut-off values could also represent with a cause other than LSS due to spinopelvic malalignment.

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