Sexual Dysfunction and Gun Ownership in America: When Hard Data Meet a Limp Theory

Although there has been no direct empirical evidence linking sexual dysfunction (SD) with gun ownership, speculation has been widespread and persistent for decades. In this paper, we formally examine the association between SD and gun ownership. Our primary hypothesis, derived from the psychosexual theory of gun ownership, asserts that men experiencing SD are more likely to personally own guns than other men. To test this hypothesis, we used recently collected data from the 2021 Crime, Health, and Politics Survey (CHAPS), a national probability sample of 780 men, and binary logistic regression to model gun ownership as a function of SD. Our key finding is that men experiencing SD are no more likely to own guns than men without SD. This interpretation was supported across several indicators of SD (performance anxiety, erection trouble, and ED medication) and gun ownership (personal gun ownership, purchasing a gun during the pandemic, and keeping a gun in one’s bedroom). To our knowledge, we are the first to have directly tested the association between SD and gun ownership in America. Our findings are important because they contribute to our understanding of factors associated with gun ownership by challenging the belief that phallic symbolism and masculinity somehow drive men with SD to purchase guns. Our results also remind us of the perils of gun culture rhetoric, which, in this case, function to discredit gun owners and to further stigmatize men with ED. We conclude by calling for more evidence-based discussions of SD and guns in society.

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Assessment of pain and postoperative nausea and vomiting and their association in the early postoperative period: an observational study from Palestine

BMC Surgery ◽

10.1186/s12893-021-01172-9 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Reem M. Elsaid ◽

Ashraqat S. Namrouti ◽

Ahmad M. Samara ◽

Wael Sadaqa ◽

Sa’ed H. Zyoud

Keyword(s):

Logistic Regression ◽

Observational Study ◽

Postoperative Nausea ◽

Postoperative Nausea And Vomiting ◽

Binary Logistic Regression ◽

Nausea And Vomiting ◽

Prior History ◽

Factors Associated ◽

Duration Of Surgery ◽

History Of

Abstract Background Postoperative nausea and vomiting (PONV) and postoperative pain (POP) are most commonly experienced in the early hours after surgery. Many studies have reported high rates of PONV and POP, and have identified factors that could predict the development of these complications. This study aimed to evaluate the relationship between PONV and POP, and to identify some factors associated with these symptoms. Methods This was a prospective, multicentre, observational study performed at An-Najah National University Hospital and Rafidia Governmental Hospital, the major surgical hospitals in northern Palestine, from October 2019 to February 2020. A data collection form, adapted from multiple previous studies, was used to evaluate factors associated with PONV and POP in patients undergoing elective surgery. Patients were interviewed during the first 24 h following surgery. Multiple binary logistic regression was applied to determine factors that were significantly associated with the occurrence of PONV. Results Of the 211 patients included, nausea occurred in 43.1%, vomiting in 17.5%, and PONV in 45.5%. Multiple binary logistic regression analysis, using PONV as a dependent variable, showed that only patients with a history of PONV [odds ratio (OR) = 2.28; 95% confidence interval (CI) = 1.03–5.01; p = 0.041] and POP (OR = 2.41; 95% CI = 1.17–4.97; p = 0.018) were significantly associated with the occurrence of PONV. Most participants (74.4%) reported experiencing pain at some point during the first 24 h following surgery. Additionally, the type and duration of surgery were significantly associated with POP (p-values were 0.002 and 0.006, respectively). Conclusions PONV and POP are common complications in our surgical patients. Factors associated with PONV include a prior history of PONV and POP. Patients at risk should be identified, the proper formulation of PONV protocols should be considered, and appropriate management plans should be implemented to improve patients’ outcomes.

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Prevalence of and Factors Associated With Depressive Symptoms Among College Students in Wuhan, China During the Normalization Stage of COVID-19 Prevention and Control

Frontiers in Psychiatry ◽

10.3389/fpsyt.2021.742950 ◽

2021 ◽

Vol 12 ◽

Author(s):

Jincong Yu ◽

Ziyun Yang ◽

Yuqin Wu ◽

Ming Ge ◽

Xuemei Tang ◽

...

Keyword(s):

College Students ◽

Logistic Regression ◽

Online Learning ◽

Depressive Symptoms ◽

Prevention And Control ◽

Psychological Intervention ◽

Binary Logistic Regression ◽

Factors Associated ◽

And Control ◽

At Home

Objectives: The 2019 coronavirus disease (COVID-19) epidemic has led to persistent negative psychological effects on the general public, especially on college students, who are highly susceptible to psychological difficulties, such as fear, anxiety, and depression. Little information is known about depressive symptoms among college students during the normalization stage of COVID-19 prevention and control in China. This study aimed to understand the prevalence of and factors associated with depressive symptoms after a long quarantine time and online learning at home among college students in Wuhan, China.Materials and Methods: A web-based survey was conducted from July to August 2020 during the Chinese summer holiday to collect data on sociodemographic variables, depressive symptoms, and their potential associated factors using an electronic questionnaire among college students in Wuhan, China. The Patient Health Questionnaire-9 (PHQ-9) was used to measure depressive symptoms. Binary logistic regression was used to explore the factors associated with depressive symptoms.Results: A total of 9,383 college students were included in the analysis. The prevalence of depressive symptoms was 15.8% (1,486/9,383) among college students. The binary logistic regression showed that the experience of being quarantined for observation or treatment, family members or friends dying of COVID-19, rarely or never seeking help from others, fewer supportive relatives or friends, less support from family in the past month, a worse relationship with parents at home, a longer time spent daily on electronic devices except for online learning, and feeling anxious in the face of returning to school were independently associated with a higher risk of depressive symptoms. Academic stress and concern about the epidemic were the main reasons for their anxiety.Conclusions: Targeted psychological intervention measures are recommended for college students to improve their mental health during the normalization stage of COVID-19 prevention and control.

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Study of Risk Factors Associated with Suicide Attempt in Patients with Bipolar Disorder Type I

Journal of Neurosciences in Rural Practice ◽

10.1055/s-0040-1709347 ◽

2020 ◽

Vol 11 (02) ◽

pp. 291-298

Author(s):

Karthick Subramanian ◽

Vikas Menon ◽

Siddharth Sarkar ◽

Vigneshvar Chandrasekaran ◽

Nivedhitha Selvakumar

Keyword(s):

Risk Factors ◽

Bipolar Disorder ◽

Logistic Regression ◽

Family History ◽

Suicide Attempt ◽

Coping Strategies ◽

Binary Logistic Regression ◽

Type I ◽

Factors Associated ◽

History Of

Abstract Background Suicide is the leading contributor to mortality in bipolar disorder (BD). A history of suicidal attempt is a robust predictive marker for future suicide attempts. Personality profiles and coping strategies are the areas of contemporary research in bipolar suicides apart from clinical and demographic risk factors. However, similar research in developing countries is rarer. Objectives The present study aimed to identify the risk factors associated with suicidal attempts in BD type I (BD-I). Materials and Methods Patients with BD-I currently in clinical remission (N = 102) were recruited. Sociodemographic details and the clinical data were collected using a semistructured pro forma. The psychiatric diagnoses were confirmed using the Mini-International Neuropsychiatric Interview 5.0. The National Institute of Mental Health–Life Chart Methodology Clinician Retrospective Chart was used to chart the illness course. Presumptive Stressful Life Events Scale, Coping Strategies Inventory Short Form, Buss–Perry aggression questionnaire, Past Feelings and Acts of Violence, and Barratt Impulsivity scale were used to assess the patient’s stress scores, coping skills, aggression, violence, and impulsivity, respectively. Statistical Analysis Descriptive statistics were used for demographic details and characteristics of the illness course. Binary logistic regression analyses were performed to identify the predictors for lifetime suicide attempt in BD-I. Results A total of 102 patients (males = 49 and females = 53) with BD-I were included. Thirty-seven subjects (36.3%) had a history of suicide attempt. The illness course in suicide attempters more frequently had an index episode of depression, was encumbered with frequent mood episodes, especially in depression, and had a higher propensity for psychiatric comorbidities. On binary logistic regression analysis, the odds ratios (ORs) for predicting a suicide attempt were highest for positive family history of suicide (OR: 13.65, 95% confidence interval [CI]: 1.28–145.38, p = 0.030), followed by the presence of an index depressive episode (OR: 6.88, 95% CI: 1.70–27.91, p = 0.007), and lower scores on problem-focused disengagement (OR: 0.72, 95% CI: 0.56–0.92, p = 0.009). Conclusion BD-I patients with lifetime suicide attempt differ from non-attempters on various course-related and temperamental factors. However, an index episode depression, family history of suicide, and lower problem-focused engagement can predict lifetime suicide attempt in patients with BD-I.

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Dyslipidemia in northeastern China

Open Medicine ◽

10.2478/s11536-010-0075-9 ◽

2011 ◽

Vol 6 (2) ◽

pp. 220-226 ◽

Cited By ~ 1

Author(s):

Xiao Shi ◽

Qinglong Jin ◽

Yulin Hu ◽

Xiumei Chi ◽

Yanhang Gao ◽

...

Keyword(s):

Public Health ◽

Risk Factors ◽

Logistic Regression ◽

Risk Factor ◽

Coronary Artery ◽

Binary Logistic Regression ◽

Northeastern China ◽

Major Risk Factor ◽

Coronary Artery Diseases ◽

Factors Associated

AbstractDyslipidemia, is a major risk factor for premature coronary artery disease. Our aim was to estimate the prevalence of dyslipidemia (blood lipid abnormalities) and other risk factors associated with coronary artery diseases among an adult population in northeastern China. Throughout the months of September and October of 2007,a population-based cross-sectional study was conducted and a total of 3,815 individuals were included. Total cholesterol (TC), high-density cholesterol (HDL-C), low-density cholesterol (LDL-C), and triglycerides (TG) were measured. A binary logistic regression analysis was conducted to determine risk factors associated with dyslipidemia. The prevalence of hypercholesterolemia, high LDL-C, low HDL-C, and hypertriglyceridemia were 17.3%, 27.8%, 11.66% and 29.85%, respectively. The prevalence of hypertension, central obesity, alcoholic liver disease (ALD), non-ALD, diabetes and metabolic syndrome was higher in serum lipid abnormality groups than in the non-dyslipidemia group (p < 0.001). In a binary logistic regression, hyperlipidemia was positively correlated with age, male, hypertension, high body mass index, etc. There were negative correlations with being female and the level of education a subject had attained. Dyslipidemia is a major risk factor for premature coronary artery diseases and an important public health issue in the northeastern part of China. Dyslipidemia is more frequent than expected based on previous studies. To control dyslipidemia, routine evaluations in clinics and community centers are needed, as well as effective public health education.

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Analysis of risk factors predicting recurrence of chronic subdural hematoma

Nepal Journal of Neuroscience ◽

10.3126/njn.v15i3.23279 ◽

2018 ◽

Vol 15 (3) ◽

pp. 32-38

Author(s):

Nikunja Yogi ◽

Pankaj Raj Nepal ◽

Dinesh Nath Gongal ◽

Upendra Prasad Devkota

Keyword(s):

Logistic Regression ◽

Alcohol Use ◽

Subdural Hematoma ◽

Management Strategies ◽

Chronic Subdural Hematoma ◽

Binary Logistic Regression ◽

Surgical Approaches ◽

Chronic Alcohol ◽

Factors Associated ◽

Brain Expansion

Recurrences after evacuation of chronic subdural hematoma are seen in 2-33% of cases with various surgical approaches. Various demographical, clinical, radiological, surgical and postoperative management strategies have been explored as the possible predictors of recurrence. We performed a retrospective analysis in 160 patients with chronic subdural hematoma with an aim to analyze the post-operative recurrences and factors associated with it. Various socio demographic and clinico-radiological parameters were studied against the rate of recurrence after surgery using Chi square/Fischer Exact Test. Factors showing significant association on univarate analysis were then analysed using binary logistic regression. The rate of recurrence of CSDH in our study was 5% and the mean duration of recurrence was 33 days. Chronic alcohol use (p=0.007) and intraoperative brain expansion ((p=0.001) were the two factors associated with recurrence of CSDH. On binary logistic regression chronic alcohol use (wald-6.467, p=0.011) and intraoperative brain expansion (wald=6.674, p=0.010) were both associated significantly with recurrence of CSDGH with an odds of 7.804 and 0.058 respectively.

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Factors that Affect Sugar Sweetened Beverage Intake in Rural, Southern College Students in the US

International Journal for Vitamin and Nutrition Research ◽

10.1024/0300-9831/a000218 ◽

2015 ◽

Vol 85 (1-2) ◽

pp. 5-13

Author(s):

Yeonsoo Kim ◽

Tak Yan Chau ◽

Julie M. Rutledge ◽

Dawn Erickson ◽

Yunsook Lim

Keyword(s):

College Students ◽

Logistic Regression ◽

Odds Ratio ◽

Binary Logistic Regression ◽

Bottled Water ◽

Regression Analyses ◽

Sugar Sweetened Beverage ◽

Factors Associated ◽

Sweetened Beverage ◽

The Us

Abstract. The objective of the present study was to investigate factors that affect sugar sweetened beverage (SSB) intake in rural, southern college students in the US. The majority of the participants were male (58 %) and Caucasian (63 %). The average total SSB consumption was 79.4 fl oz/day (2.35 L/d). Results of binary logistic regression analyses of total SSB intake greater than 57.4 fl oz/day (1.8 L/d) versus less than 57.4 fl oz/day showed that factors associated with greater odds for high SSB intake were age greater than 20 years old (odds ratio [OR] = 3.551, 95 % confidence interval [CI] = 1.385 - 9.104, p = 0.008) and being African American (OR = 3.477, 95 % CI = 1.291 - 9.363, p = 0.013). Results of binary logistic regression analyses of total bottled water intake greater than 39.4 fl oz/day (median) versus less than 39.4 fl oz/day showed that consuming alcohol was significantly related to an increased probability of drinking more than 39.4 fl oz (1.17 L/d) of bottled water per day (median; OR = 2.914, 95 % CI = 1.223 - 6.943, p = 0.016). Culturally sensitive strategies are needed to raise awareness for making healthy beverage choices when dining on campus to effectively reduce college student’s SSB consumption.

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Factors Associated with Poor Quality of Sleep in Construction Workers: A Secondary Data Analysis

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18052279 ◽

2021 ◽

Vol 18 (5) ◽

pp. 2279

Author(s):

Youkyung Kim ◽

Sangeun Lee ◽

Jeeyeon Lim ◽

Soyeon Park ◽

Sojeong Seong ◽

...

Keyword(s):

Logistic Regression ◽

Sleep Quality ◽

Secondary Data ◽

Binary Logistic Regression ◽

Poor Quality ◽

Construction Workers ◽

Quality Of Sleep ◽

Factors Associated ◽

The Poor

This study aimed to explore factors associated with poor quality of sleep in construction workers. This study was cross-sectional, correlational in design and used secondary data from fatigue instrument development study. We analyzed the data from 206 participants aged over 19 years who worked at construction sites for more than 6 months. We used multivariate binary logistic regression to identify the factors associated with poor quality of sleep. We classified the two sleep quality groups based on the Pittsburgh Sleep Quality Index (PSQI) score, and almost 63% of them were classified as the poor quality of sleep group. Based on multivariate binary logistic regression (Cox and Snell R2 = 0.317, Nagelkerke R2 = 0.429), the poor quality of sleep group tended to sleep for a shorter duration before the working day, and not only showed lower sleep latency and higher levels of daytime dysfunction and discomfort in daily life, but also had more chronic disease, depressive symptoms, and higher physical fatigue. Our study findings support that there are many modifiable factors associated with poor sleep and a high rate of poor quality of sleep occurred in construction workers. Thus, clinicians should consider providing diverse options for applying interventions to ensure better sleep, fatigue management, and depression prevention in construction workers after considering their unique characteristics.

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Utility of a modified distress thermometer in screening COVID-19 patients for psychological distress: A prospective Egyptian study

Multidisciplinary Respiratory Medicine ◽

10.4081/mrm.2021.750 ◽

2021 ◽

Vol 16 ◽

Author(s):

Sherif A.A. Mohamed ◽

Azza AbdelHafeez ◽

Ehab Kamel ◽

Alaa Rashad

Keyword(s):

Logistic Regression ◽

Psychological Distress ◽

Binary Logistic Regression ◽

Distress Thermometer ◽

Shortness Of Breath ◽

University Hospitals ◽

Distress Screening ◽

Factors Associated ◽

Care Worker ◽

Cancer Network

Background: The National Comprehensive Cancer Network (NCCN) has adopted the distress thermometer (DT) as one of the best-known distress-screening instruments. We have adopted a modified version of the NCCN distress thermometer.We questioned if this modified DT (m-DT) could be utilized for measuring the prevalence of psychological distress among COVID-19 patients.Methods: The prospective study included 2 phases; modification of the original DT and its associated problem list (PL), and evaluation of this m-DT in measuring the prevalence of psychological distress among COVID-19 patients. Egyptian adult subjects with suspected or confirmed cases of COVID-19 at 2 University Hospitals were enrolled. Binary logistic regression tests were carried out to explore the association between the m-DT cut-off scores of 4 and the clinical variables.Results: One hundred sixty-nine (60.4%) patients experienced significant distress (m-DT cut off score ≥4). Logistic regression showed that occupation, presence of special habits, length of quarantine time, worry, cough, shortness of breath, and fever, were independent factors associated with significant distress in COVID-19 patients.Conclusion: With the modified distress thermometer (m-DT), 60% of Egyptian COVID-19 patients experienced significant distress. This distress was significantly related to age, marital status, occupation, presence or absence of special habits, and length of the quarantine time. With m-DT, the current study had identified worry, being a health-care worker, shortness of breath, fever, length of quarantine time, presence of special habits, and cough as independent factors associated with significant distress in COVID-19 patients. Further studies are warranted.

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Risk factors associated with the development of undifferentiated connective tissue dysplasia

Bulletin of Siberian Medicine ◽

10.20538/1682-0363-2018-2-41-48 ◽

2018 ◽

Vol 17 (2) ◽

pp. 41-48

Author(s):

G. Yu. Kalaeva ◽

O. I. Khokhlova ◽

I. A. Deev ◽

G. A. Мikheenko

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Connective Tissue ◽

Chronic Conditions ◽

Binary Logistic Regression ◽

Maternity Hospital ◽

Fetal Hypoxia ◽

Factors Associated ◽

Factor Combination ◽

Connective Tissue Dysplasia

Development of the undifferentiated connective tissue dysplasia (UCTD) is influenced by various adverse factors to the fetus during intrauterine growth. There is not a clear linkage to the contribution of the separate factors to the development of the UCTD.Aims of the studyare to determine the risk factors associated with the development of the UCTD of the adolescents and to appreciate the predictive value of the examined factors related to UCTD to form the dispensary groups of the children with UCTD.Materials and methods. During the first stage of the study there was an examination of 110 adolescents at the age of 10–14 years old, the UCTD presence was established according to the scale proposed by T.I. Kadurina and V.N. Gorbunova (2009). During the second stage the data of the prenatal casework and maternity hospital records attached to the out-patient medical records were examined to detect the specialties of the antenatal life course. During the third stage 2 groups were formed: with the presence of UCTD (n = 81) and without UCTD (n = 29). The mother groups were formed accordingly with the adolescents groups.Results. The pregnancy of the mothers of the adolescents with UCTD proceeded against the anemia, threatening miscarriage, chronic fetal hypoxia, chronic fetoplacental insufficiency, toxicosis, gestosis, and concomitant chronic conditions (thyroid, kidneys, digestive apparatus, aspiration pathology) more common than the pregnancy of the mothers of the adolescents without UCTD. The binary logistic regression method allowed the predictors of the UCTD’s formation to be determined, there were: toxicosis during the gestation course (OR = 10.9; CI 95% 2.94–40.49), anemia of pregnancy (OR = 8.6; CI 95%: 2.42–30.81), gestosis (OR = 6.53; CI 95%: 1.27–33.71), chronic fetal hypoxia (OR = 4.4; CI 95%: 1.09–17.83) and pre-existing chronic conditions of the mothers (OR = 3.6; CI 95%: 0.86–15.48). Different factor combination enhances the likelihood of the delivery of a child with UCTD more than 6.5-fold: chronic conditions of the mothers and chronic fetal hypoxia (OR = 6.8; CI 95%: 1.95–48.57); anemia of pregnancy and chronic fetal hypoxia (OR = 7.2; CI 95%: 1.01–50.99), and toxicosis (OR = 10.4; CI 95%: 1.48–72.82).Conclusion. The risk factors associated to the development of UCTD in adolescents are: toxicosis during the gestation course, anemia of pregnancy, gestosis, chronic fetal hypoxia and pre-existing chronic conditions of the mothers. The use of the equation of the binary logistic regression allows the prediction of the possibility of the development of UCTD in adolescents at the level of 80.9% and to form the dispensary groups of children in order to prevent the development of dysplastic-dependent pathology

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