scholarly journals Early detection of postpartum depression (PPD) for women suffering high-risk pregnancy: An explorative study on self-perceived burden and other prenatal risk factors of immediate PPD among women hospitalized with threatened preterm labour1

2020 ◽  
Author(s):  
Qianqian Ni ◽  
GuiZhi Cheng ◽  
An Chen ◽  
Seppo Heinonen
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Logistic Regression ◽  
High Risk ◽  
Postpartum Depression ◽  
Pregnant Women ◽  
Multiple Logistic Regression Analysis ◽  
Delivery Mode ◽  
Multiple Logistic Regression ◽  
Perceived Burden

Abstract Background: The mental health of pregnant women, particularly those with elevated risks, has been an issue of global concern. Thus far, few studies have addressed mental health of pregnant women with threatened preterm labour (TPL). In the present study, we investigated self-perceived burden (SPB) and postpartum depression (PPD) among hospitalized pregnant women with TPL, exploring the association of SPB with PPD, and identifying other potential risk factors of early PPD. Methods: A self- reported survey conducted in the Obstetrics Department of Anhui Provincial Hospital, People’s Republic of China. Women hospitalized with TPL were approached one week after delivery. One hundred fifty women were recruited from January 2017 to December 2017. Self-Perceived Burden Scale (SPBS), Edinburgh Postnatal Depression Scale (EPDS), and Multidimensional Scale of Perceived Social Support (MSPSS) were the main measures. Descriptive statistics, Spearman's correlation, and multiple logistic regression were employed for data analysis.Results: SPB and PPD were commonly experienced by women hospitalized with TPL, and SPB was positively and significantly correlated with PPD. A multiple logistic regression analysis revealed that, for the women hospitalized with TPL during pregnancy, the emotional aspect of SPB (OR = 1.473, 95% CI = 1.141–1.903, p = 0.003), age (OR = 1.178, 95%CI = 1.056–1.314, p = 0.003), occupation (OR = 0.282, 95%CI = 0.095–0.023, p = 0.023), history of scarred uterus (OR = 0.163, 95%CI = 0.034–0.769, p = 0.022), delivery mode (OR = 5.974, 95%CI = 1.750–20.396, p = 0.004), and family support to women hospitalized with TPL during pregnancy (OR = 0.665, 95% CI = 0.498–0.887, p = 0.006) were the significant factors predicting early signs of PPD. Conclusion: This study indicated that SPB and PPD were prevalent mental issues among hospitalized women with TPL, and SPB, especially perceived emotional burden, is a strong predictor of PPD. Our study suggests the necessity of paying attention to mental health issues—especially SPB and PPD—among hospitalized women with TPL, as well as providing appropriate interventions at the prenatal stage to prevent adverse consequences. Perceiving support from family during pregnancy with high risk can help women in reducing the risk of PPD.

Case control study of gastrointestinal complications after cardiopulmonary bypass heart surgery

Perfusion ◽  
2009 ◽  
Vol 24 (3) ◽  
pp. 173-178 ◽  
Author(s):  
Guowei Zhang ◽  
Naishi Wu ◽  
Hongyu Liu ◽  
Hang Lv ◽  
Zhifa Yao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Cardiopulmonary Bypass ◽  
Heart Surgery ◽  
Perfusion Pressure ◽  
Multiple Logistic Regression Analysis ◽  
Univariate Analysis ◽  
Multiple Logistic Regression ◽  
Gastrointestinal Complications ◽  
Preoperative Serum

Background: Gastrointestinal complications (GIC) after cardiopulmonary bypass (CPB) surgery are rare, but, nevertheless, extremely dangerous.The identification of risks for GIC may be helpful in planning appropriate perioperative management strategies. The aim of the present study was to analyze perioperative factors of GIC in patients undergoing CPB surgery. Methods: We retrospectively analysed 206 patients who underwent GIC after cardiopulmonary bypass surgery from 2000 to 2007 and compared them with 206 matched control patients (matched for surgery, temperature, hemodilution and date). Univariate analysis and multiple logistic regression analysis were performed on 12 risk factors. Result: Sex and types of cardioplegia perfusate did not significantly influence the GIC after CPB surgery. Multiple logistic regression revealed that CPB time, preoperative serum creatinine (PSC) ≥ 179 mg/dL, emergency surgery, perfusion pressure ≤40mmHg, low cardiac output syndrome (LCOS), age ≥ 61, mechanical ventilation ≥96 h, New York Heart Association (NYHA) class III and IV were predictors of the occurrence of GIC after CPB surgery. Perfusion pressure and aprotinin administration were protective factors. Conclusion: Gastrointestinal complications after CPB surgery could be predictive in the presence of the above risk factors. This study suggests that GIC can be reduced by maintenance of higher perfusion pressure and shortening the time on CPB and ventilation.

scholarly journals Association of the location and initial degree of malignant central airway stenosis with the risk of severe restenosis after interventional bronchoscopy

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Saibin Wang ◽  
Renzhi Zhou ◽  
Siyao Zhu ◽  
Dan Yan
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Main Bronchus ◽  
Multiple Logistic Regression Analysis ◽  
Left Main Bronchus ◽  
Multiple Logistic Regression ◽  
Left Main ◽  
Initial Degree ◽  
Central Airway

Abstract Background Therapeutic bronchoscopy is one of the effective methods in the treatment and management of malignant central airway stenosis (MCAS). However, restenosis after therapeutic bronchoscopy frequently occurs and severe restenosis (SR) can be life-threatening. Therefore, this study aimed at investigating the risk factors for SR after therapeutic bronchoscopy. Methods The data of 233 consecutive cases with MCAS who were subjected to therapeutic bronchoscopy between 2015 and 2020 at a tertiary hospital were collected. Patients were divided into SR group and non-SR during 6 months after therapeutic bronchoscopy. Multiple logistic regression analysis was performed to determine the risk factors for SR. Results SR during 6 months after therapeutic bronchoscopy occurred in 39.5% (92/233) of patients. The location and the initial degree of MCAS were associated with SR, as assessed by multiple logistic regression analysis (P < 0.05). The risk of SR after therapeutic bronchoscopy in the left main bronchus, right main bronchus, and right intermediate bronchus increased, compared to the risk when of MCAS was located in the trachea (OR (95% CI) of 8.821 (1.850-25.148), 6.583 (1.791–24.189), and 3.350 (0.831–13.511), respectively). In addition, the initial degree of MCAS was positively associated with an increased risk of SR (OR 1.020; 95% CI 1.006–1.035). Conclusions MCAS located in the left main bronchus, right main bronchus and right intermediate bronchus, as well as the higher initial degree of MCAS were independent risk factors for SR during 6 months after therapeutic bronchoscopy.

scholarly journals Cardiovascular Risk Factors in Pre-dialysis Chronic Kidney Disease patients of Nepal

2020 ◽  
Vol 9 (2) ◽  
pp. 47-53
Author(s):  
Kashyap Dahal ◽  
A. Baral ◽  
K.K. Sah ◽  
J.R. Shrestha ◽  
A. Niraula ◽  
...  
Keyword(s):  
Risk Factors ◽  
Chronic Kidney Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Kidney Disease ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Traditional Risk Factors

Background and Aims: Cardiovascular disease (CVD) is the commonest cause of morbidity and mortality in patients with chronic kidney disease (CKD) due to increased prevalence of traditional and nontraditional CVD risk factors. Our study aimed to evaluate these risk factors in pre-dialysis Nepalese CKD patients. Methods: This was a cross-sectional study conducted in Department of Nephrology, Bir hospital. Total 100 consecutive pre-dialysis CKD patients were enrolled. Ten traditional and six nontraditional CVD risk factors were analyzed and compared between CKD stages. Descriptive statistics was used to illustrate the socio-demographic and clinical characteristics, chi square test for categorical variables and multiple logistic regression analysis was done to determine the risk factors of CVD in CKD patients. p-value<0.05 was considered to be statistically significant. Results: Mean patient age was 52.03}13.64 years with majority (60%) of the patients being male. Comparison of traditional risk factors in different stages depicted similar trend except for old age in Stage 3 CKD (p=0.002). Anemia (p<0.001), hyperphosphatemia (p=0.01), hyperparathyroidism (p<0.01) and cumulative nontraditional risk factors were significantly higher (p=0.01) in stage 5 CKD. The predicted CVD events by Framingham risk score showed high risk in 37% with no significant difference among the stages. Multiple logistic regression analysis showed increased body mass index, low serum albumin and increased serum phosphate as the three significant predictors for left ventricular hypertrophy. Conclusion: Our study shows that the CVD risk factors were prevailing along the various stages of CKD. The occurrence of non-traditional risk factors increased with increasing stage of CKD.

scholarly journals Mental health status of Chinese residents during the COVID-19 epidemic

2020 ◽  
Author(s):  
Wen Jiang ◽  
Xuerong Liu ◽  
Jingxuan Zhang ◽  
Zhengzhi Feng
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Depressive Symptoms ◽  
Cognitive Processing ◽  
Multiple Logistic Regression Analysis ◽  
Anxiety Symptoms ◽  
Multiple Logistic Regression ◽  
Processing Bias ◽  
Cognitive Processing Bias

Abstract Background: To investigate the mental health status of Chinese residents during the epidemic of COVID-19, as well as to identify the positive and negative factors and regulatory effect of negative cognitive processing bias on mental health.Methods: A total of 60199 residents in China were surveyed via an internet-based survey containing a general questionnaire, such as the self-rating depression scale, the state anxiety inventory, and the negative cognitive processing bias questionnaire. An ordered multiple logistic regression analysis model was used to analyze the collected data. Results: The survey revealed mild, moderate, and severe depressive symptoms in 62.65%, 11.33%, and 6.14% participants, respectively, and mild, moderate, and severe anxiety symptoms in 33.21%, 41.27%, and 22.99% participants, respectively. Multiple logistic regression analysis showed that factors, such as female gender, being older than 55 years, high school education level, medical staff, marital conflicts, negative attention bias, rumination, and death growth rate, positively affected depression and anxiety symptoms. The good family functionality, democratic working atmosphere, and a myriad of social activities negatively affected the level of depressive and anxiety symptoms.Conclusion: Chinese residents exhibited a high prevalence of anxiety and depressive symptoms during the epidemic. Thus, psychological interventions should focus on the vulnerable groups, and cognitive training should focus on reducing the negative cognitive processing bias. This might be an effective way to alleviate the mental stress of the general public during the COVID-19 pandemic.

scholarly journals Factors Associated with the 30-Day and 1-Year Smoking Abstinence of Women in Korea: The Effect of Nicotine Dependency, Self-Efficacy, and Mental Illness

2021 ◽  
Vol 18 (21) ◽  
pp. 11171
Author(s):  
Bo-Yoon Jeong ◽  
Min-Kyung Lim ◽  
Sang-Hwa Shin ◽  
Yu-Ri Han ◽  
Jin-Kyoung Oh ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Smoking Cessation ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Self Efficacy ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Factors Associated ◽  
Nicotine Dependency

Despite the success of tobacco control efforts in reducing smoking rates during the past 50 years, data on the factors contributing to quitting success are still lacking. Smoking-related mortality among women has also not declined. Therefore, this study aimed to characterize sociodemographic features, smoking-related behaviors, mental illness, and smoking cessation in woman smokers in Korea who were registered in the Quitline program. Furthermore, factors associated with 30-day and 1-year successful smoking cessation after enrollment in the Quitline program were investigated. A total of 3360 adult woman Quitline users from 2007 to 2018 were included in the final analysis, with information on their age, education level, marital status, body mass index, frequency of alcohol consumption per month, nicotine dependency, self-efficacy for smoking cessation, presence of a smoking cessation supporter, and mental health history collected upon registration with the Quitline program in Korea. Their cessation outcome was investigated with a 1-year follow-up until the end of 2019. A multiple logistic regression analysis was conducted to identify factors associated with smoking cessation at the 30-day and 1-year follow-ups. The results of the multiple logistic regression analysis indicated that lower nicotine dependency, higher self-efficacy, and the presence of a smoking cessation supporter improved the odds of smoking cessation at the 30-day and 1-year follow-ups. In contrast, users with a mental health condition were less likely to achieve smoking cessation. Incorporating methods to increase self-efficacy in women who decide to quit smoking will contribute to facilitating more attempts to quit and achieving greater success in smoking cessation among woman smokers.

scholarly journals Prevalence of Depression and its Associated Factors among Medical Students in International Islamic University Malaysia (IIUM)

2021 ◽  
Vol 20 (4) ◽  
Author(s):  
Abdul Hadi Said ◽  
Muhammad Addin Nur Hakim Azmi ◽  
Haziqah Mohd Hanapiah ◽  
Anis Wardati Abdullah ◽  
Mohd Shaiful Ehsan Shalihin
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Logistic Regression ◽  
Medical Students ◽  
Associated Factors ◽  
Multiple Logistic Regression Analysis ◽  
Regular Physical Activity ◽  
Multiple Logistic Regression ◽  
Cross Sectional ◽  
Prevalence Of Depression

Introduction: Globally, depression is one of the serious problems reported among medical students. Various studies reported that the prevalence of depression among medical students was high due to multiple risk factors. Therefore, this study aimed to measure the prevalence of depression and its associated factors among medical students in International Islamic University Malaysia (IIUM). Materials and Methods: A cross-sectional study was conducted among 500 medical students in IIUM Kuantan. A validated self-reported questionnaire using Depression Anxiety Stress Score 21 was distributed during the second semester of the 2018/2019 session. Descriptive statistics were used to measure the prevalence of depression. Chi-square test, Fisher’s exact test, independent sample T-test, and multiple logistic regression were used to determine the association between risk factors and depression. Result: The prevalence of depression was 39% with 10.5% of them were having severe and extremely severe level of depression. Multiple logistic regression analysis showed regular physical activity (AOR=0.64, 95% CI: 0.42-0.98) and Tahajjud prayer practice (AOR: 0.76, 95% CI 0.66-0.88) are two protective factors against depression among medical students. Conclusion: About two out of every five IIUM medical students had depression. Regular physical activity and Tahajjud prayer practised may reduce the risk of depression and should be encouraged.

scholarly journals 447 - Risk factors associated with sleep disturbance in a general elderly Japanese population: The Arao Cohort Study

2020 ◽  
Vol 32 (S1) ◽  
pp. 167-167
Author(s):  
Kazuki Honda ◽  
Tomohisa Ishikawa ◽  
Ryuji Fukuhara ◽  
Seiji Yuki ◽  
Yusuke Miyagawa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cohort Study ◽  
Sleep Disturbance ◽  
Logistic Regression Analysis ◽  
Barthel Index ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Factors Associated

[Background]Sleep disturbance is a common symptom in elderly people. However, the associated risk factors have not been completely clarified. We examined possible risk factors associated with sleep disturbance in a community-based Japanese cohort study.[Methods]1521 community-dwelling individuals aged 65 years or older were selected from a consecutive series at a cohort study from 2016 to 2018 in Arao city, where located at south part of Japan. In this survey, the clinical valuables were collected as follows: age, sex, occupational status, education, lifestyle information, medical history, EuroQoL(EQ)-5D (a score of health-related quality of life [QOL]), Barthel index (a score of performance in activities of daily living), a score of Geriatric Depression Scale (GDS) and a score of Mini-Mental State Examination (MMSE). Sleep disturbance was assessed by the Pittsburgh Sleep Quality Index (when the global score was 6 or over, sleep disturbance was determined to be present). Multiple logistic regression analysis was used to examine the association between clinical valuables and sleep disturbance. This research was supported by AMED (Japan Agency for Medical Research and Development) under Grant Number JP18dk0207025h0003 and has been approved by the research ethics committee of Kumamoto University. Informed consent was obtained from all participants and their family members.[Results]Multiple logistic regression analysis revealed that Parkinson disease (Odds ratio[OR]=5.59), living alone (OR=1.93), liver disease (OR=1.89), hyperlipidemia (OR=1.36), higher score of GDS (OR=1.14), lower scores of both EQ-5D index (OR=1.11) and Barthel index (OR=1.03) were significantly associated as risk factors with sleep disturbance. Unexpectedly, lower score of MMSE was not a significant risk factor.[Conclusion]These results suggest that several physical illnesses, solitude, depressive symptoms and lower QOL, but not cognitive impairment, might be crucial risk factors associated with sleep disturbance in elderly population.

scholarly journals Mental health status of Chinese residents during the COVID-19 epidemic

2020 ◽  
Author(s):  
Wen Jiang ◽  
Xuerong Liu ◽  
Jingxuan Zhang ◽  
Zhengzhi Feng
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Depressive Symptoms ◽  
Health Status ◽  
Cognitive Processing ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Processing Bias ◽  
Cognitive Processing Bias

Abstract Background: To investigate the mental health status of Chinese residents during the epidemic of COVID-19, identify the positive and negative factors and explore the regulatory effects of negative cognitive processing bias on mental health.Methods: Using a general questionnaire, such as the self-rating depression scale, the state anxiety inventory, and the negative cognitive processing bias questionnaire, an internet-based survey was conducted on 60199 residents in China. An ordered multiple logistic regression analysis model was used to analyze the collected data. Results: The survey showed that the incidences of mild, moderate, and severe depressive symptoms were 62.65%, 11.33%, and 6.14%, respectively, and that of mild, moderate and severe anxiety symptoms were 33.21%, 41.27%, and 22.99%, respectively. The results of ordered multiple logistic regression analysis showed that factors, such as female gender, age more than 55 years elderly, high school education level, medical staff, marital conflicts, negative attention bias, rumination, and death rate positively affected the level of depressive and anxiety symptoms. The good family functionality, democratic working atmosphere, and a myriad of social activities negatively affected the level of depressive and anxiety symptoms.Conclusion: The Chinese residents exhibited a high prevalence of anxiety and depressive symptoms during the epidemic. Thus, psychological interventions should focus on the vulnerable groups, and cognitive training should focus on reducing the negative cognitive processing bias that might be an effective way to alleviate the mental stress of the general public during the COVID-19 pandemic.

scholarly journals Prevalence and social determinants of psychological distress among people who use drugs in Cambodia

2020 ◽  
Author(s):  
Chan Hang Saing ◽  
Kiesha Prem ◽  
Ponha Uk ◽  
Navy Chann ◽  
Pheak Chhoun ◽  
...  
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Psychological Distress ◽  
Logistic Regression Analysis ◽  
Mental Health Problems ◽  
Multiple Logistic Regression Analysis ◽  
People Who Use Drugs ◽  
Multiple Logistic Regression ◽  
High Psychological Distress

Abstract Background: People who use drugs are at a disproportionately higher risk of mental disorders due to prolonged exposure to psychosocial challenges. However, studies on mental health among people who use drugs in resource-constrained countries are scarce. This study sheds light on the prevalence and correlates of psychological distress among people who use drugs in Cambodia.Methods: We conducted this cross-sectional study in 12 provinces in 2017. The Respondent Driven Sampling method was adapted to recruit 1677 people who used drugs for face-to-face interviews using a structured questionnaire. Psychological distress was measured using the General Health Questionnaire (GHQ-12). A total score of GHQ-12>2 indicated high psychological distress. We performed a multiple logistic regression analysis to examine factors associated with psychological distress. Results: The mean age of the participants was 28.6 years (SD= 7.8). Of the total, 41.9% had high psychological distress – 49.7% in women and 37.3% in men. We included 1598 participants in the multiple logistic regression analysis. The adjusted odds of having high psychological distress was significantly higher among participants who were 25-34 years old (AOR 1.30, 95% CI 1.01-1.70) and 35 years and above (AOR 1.68, 95% CI 1.19-2.35), had been to a drug rehabilitation center (AOR 2.06, 95% CI 1.48-2.86), had been insulted by family members (AOR 2.09, 95% CI 1.62-2.70), and had been sexually harassed/abused by someone when they were growing up (AOR 1.80, 95% CI 1.38-2.36). The odds of having high psychological distress was significantly lower among participants who were male (AOR 0.53, 95% CI 0.41-0.69), lived in own dwelling (AOR 0.56, 95% CI 0.41-0.77), reported injecting as the mode of the first drug use (AOR 0.56, 95% CI 0.34-0.91), and had someone taking care of when getting sick (AOR 0.68, 95% CI 0.47-0.99).Conclusions: This study documents a high prevalence of psychological distress among people who use drugs in Cambodia. Intervention programs that attempt to address mental health problems among people who use drugs in resource-limited settings should be gender- and age-sensitive and target more marginalized subpopulations. Mental health services can be integrated into HIV and harm-reduction programs for people who use drugs.

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