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 Analysis and Factors Associated with Measles in Larut, Matang and Selama Districts, Perak, Malaysia

2020 ◽  
Vol 27 (5) ◽  
pp. 130-140
Author(s):  
Asraf Ahmad Qamruddin ◽  
Reza Qamruddin ◽  
Ayu Malik
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Incidence Rate ◽  
Logistic Regression Analysis ◽  
Protective Factor ◽  
Multiple Logistic Regression Analysis ◽  
Prior History ◽  
Multiple Logistic Regression ◽  
Case Definitions ◽  
Factors Associated

Objectives: To determine the incidence rate of measles and the factors associated with confirmed measles cases in Larut, Matang and Selama districts. Methods: Cross-sectional analysis was carried out looking at all suspected and laboratoryconfirmed measles cases in Larut, Matang and Selama districts between 2015 and 2019. Multiple logistic regression analysis was used to determine the associated factors for laboratory-confirmed measles cases. Results: The incidence rate for suspected measles showed an increasing trend from 2015–2019. For laboratory-confirmed measles cases, the incidence rate showed more variation with an increase to 36.11 per million population in 2017 from 5.67 per million population in 2015. The incidence rate later decreased to 10.99 per million population in 2018 and increased again to 24.47 per million population in 2019. From multiple logistic regression analysis, cases that fulfilled the case definition of measles were more likely to be laboratory-confirmed measles. On the other hand, a prior history of measles immunisation was a protective factor. Conclusion: Measles incidence is increasing in trend. Any suspected measles cases that fulfilled the clinical case definitions need to be further investigated. Immunisation should be promoted as they are effective in preventing and eliminating measles.

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 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.

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

2020 ◽  
Vol 20 (1) ◽  
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 60,199 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 Smoking Cessation Intention and Its Association with Advice to Quit from Significant Others and Medical Professionals

2021 ◽  
Vol 18 (6) ◽  
pp. 2899
Author(s):  
Jun Hyun Hwang ◽  
Soon-Woo Park
Keyword(s):  
Smoking Cessation ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Significant Others ◽  
Intention To Quit ◽  
Medical Professionals ◽  
Multiple Logistic Regression ◽  
Quit Smoking

Few studies have simultaneously considered the effects of significant others and medical professionals’ advice to quit smoking on smoking cessation intention. The present study involved 3841 current adult Korean smokers, divided into four groups with an intention to quit within 1 month, within 6 months, someday, and without intention to quit. Multinomial multiple logistic regression analysis was conducted according to smoking cessation intention level, adjusted for potential confounders, including past smoking cessation attempts. Smokers who had been advised to quit smoking by both significant others and medical professionals, significant others only, and medical professionals only were 2.63 (95% confidence interval (CI): 1.62–4.29), 1.84 (95% CI: 1.17–2.89), and 1.44 (95% CI: 0.70–2.94) times more likely to intend to quit within 1 month, respectively, than those who were not advised to quit. The odds ratios of an intention to quit within 6 months were 2.91 (95% CI: 1.87–4.54), 2.49 (95% CI: 1.69–3.68), and 0.94 (95% CI: 0.44–2.05), respectively. To promote smokers’ intention to quit, the role of significant others should be considered. Medical professionals’ advice to quit smoking remains important, increasing the effects of significant others’ advice.

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

2020 ◽  
Author(s):  
Wen Jiang ◽  
Xuerong Liu ◽  
Jingxuan Zhang ◽  
Jia Wang ◽  
Zhengzhi Feng
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Health Status ◽  
Cognitive Processing ◽  
Logistic Regression Analysis ◽  
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 and identify the positive and negative factors affecting mediating 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 depression were 62.65%, 11.33%, and 6.14%, respectively, and that of mild, moderate and severe anxiety 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 depression and anxiety. The good family functionality, democratic working atmosphere, and a myriad of social activities negatively affected the level of depression and anxiety.Conclusion: The Chinese residents exhibited a high prevalence of anxiety and depression 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 Factors associated with the occurrence of prehospital medical interventions provided by physicians among non-trauma patients: a single-centre retrospective observational study in Japan

BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e029186
Author(s):  
Tomohiro Abe ◽  
Kenshi Iwatani ◽  
Takeshi Aoyama ◽  
Tatsunori Ameda ◽  
Hidenobu Ochiai
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Observational Study ◽  
Multiple Logistic Regression Analysis ◽  
Trauma Patients ◽  
Multiple Logistic Regression ◽  
Disease Category ◽  
Transportation Time ◽  
Factors Associated ◽  
Category Type

ObjectivesPhysician-staffed prehospital units are widely used in many countries. The criteria for predicting fatal injury are well recognised for trauma victims, but there are no criteria for predicting critical condition for non-trauma patients. This study aimed to identify the factors associated with non-trauma cases receiving prehospital interventions by physicians.DesignRetrospective observational study.SettingPhysician-staffed prehospital unit (car) at a single-base hospital in a suburban city in Japan.ParticipantsParticipants were 1058 non-trauma patients who received prehospital medical examinations from April 2014 to December 2017.Outcome measuresThe outcome was the occurrence of physician-only interventions (POIs) exceeding paramedics’ competencies. Univariate analysis and multiple logistic regression analysis were performed. Patient’s age and gender, presumed disease category, type of location of the emergency, time of alarm, activation time, activator’s occupation, time to arrival, transportation time and the destination facility were included as covariates.ResultsPOIs were provided to 380 (36%) patients. Patient’s age, presumed disease category, type of location of the emergency, activator’s occupation, time to arrival, transportation time and the destination facility were identified as potential independent factors. Multiple logistic regression analysis found that patient’s age, presumed disease category, type of location of the emergency, transportation time and destination facility were the significant independent factors. Transportation times of more than 15 min (adjusted ORs (AORs)=4.17, 95% CI 2.59 to 6.72, p<0.01) or 10 to 14 min (AOR=3.66, 95% CI 2.32 to 5.79, p<0.01) and patient age of 40–59 years (AOR=3.16, 95% CI 1.66 to 6.01, p<0.01) were the strongest independent factors.ConclusionsThis study identified the factors associated with non-trauma cases receiving prehospital POIs. Patient’s age, presumed disease category, type of location of the emergency and transportation time are independent factors associated with requiring POIs.

Sign in / Sign up

Export Citation Format

Share Document