Multiple Binary Logistic Regression Models Research Articles

Association of cognitive impairment with the interaction between chronic kidney disease and depression: findings from NHANES 2011–2014

BackgroundCognitive impairment (CoI), chronic kidney disease (CKD), and depression are prevalent among older adults and are interrelated, imposing a significant disease burden. This study evaluates the association of CKD and depression with CoI and explores their potential interactions.MethodData for this study were sourced from the 2011–2014 National Health and Nutritional Examination Survey (NHANES). Multiple binary logistic regression models assessed the relationship between CKD, depression, and CoI while controlling for confounders. The interactions were measured using the relative excess risk of interaction (RERI), the attributable proportion of interaction (AP), and the synergy index (S).ResultsA total of 2,666 participants (weighted n = 49,251,515) were included in the study, of which 700 (16.00%) had CoI. After adjusting for confounding factors, the risk of CoI was higher in patients with CKD compared to non-CKD participants (odds ratio [OR] = 1.49, 95% confidence interval [CI]:1.12–1.99). The risk of CoI was significantly increased in patients with depression compared to those without (OR = 2.29, 95% CI: 1.73–3.03). Furthermore, there was a significant additive interaction between CKD and depression in terms of the increased risk of CoI (adjusted RERI = 2.01, [95% CI: 0.31–3.71], adjusted AP = 0.50 [95% CI: 0.25–0.75], adjusted S = 2.97 [95% CI: 1.27–6.92]).ConclusionCKD and depression synergistically affect CoI, particularly when moderate-to-severe depression co-occurs with CKD. Clinicians should be mindful of the combined impact on patients with CoI. Further research is needed to elucidate the underlying mechanisms and assess the effects specific to different CKD stages.

Impact of indoor air pollution from cooking fuel usage and practices on self-reported health among older adults in India: Evidence from LASI

This research aims to explore the impact of various components of Indoor air pollution (IAP) on the Self-Reported Health (SRH) of older adults in India. Using a sample of 27,090 from the Longitudinal Aging Study in India (LASI) Wave-1, a multiple binary logistic regression model was employed to identify specific risk factors associated with poor SRH among older adults. Adjusting for demographic, socioeconomic, and IAP-related components, it was revealed that IAP significantly contributes to poor SRH. The adjusted model indicated that individuals using solid cooking fuels face a higher risk of poor SRH compared to those using liquid fuels. Additionally, individuals not using electric chimneys and cooking near windows are associated with an elevated risk of poor SRH, highlighting the importance of adequate ventilation. Health risk factors, including lung disease, diabetes, cough, and depression, further contribute to poor SRH among older adults exposed to IAP. Overall, the study offers crucial insights for policymakers, healthcare professionals, and environmentalists to improve the well-being of the vulnerable older population in India.

Opioids in geriatric units in 14 Belgian hospitals: prevalence, dosage and associated factors

Introduction: Adverse effects of opioids are common among older individuals, and undertreatment as well as overuse can be an issue. Epidemiological data on opioid use in older individuals are available, but scarce in hospitalized patients.Aims: The aim of this study is to examine the one-day prevalence of opioid use among older inpatients and identify the factors associated with both opioid use and dosage.Materials and methods: One-day cross-sectional study with data collected from geriatric units across 14 Belgian hospitals. The primary focus of the study is to assess the prevalence of opioid use and dosage, along with identifying associated factors. To achieve this, a multiple binary logistic regression model was fitted for opioid use, and a multiple linear regression model for opioid dose.Results: Opioids were used in 24.4% of 784 patients, of which 57.9% was treated with tramadol, 13.2% with oxycodone or morphine and 28.9% with transdermal buprenorphine or fentanyl. The odds for opioid use were 4.2 times higher in patients in orthogeriatric units compared to other patients (OR=4.2, 95% CI=2.50-7.05). The prevalence of opioid use was 34% higher in patients without dementia compared to patients with dementia (OR=0.66, 95% CI=0.46-0.95). The overall mean daily dosage was 14.07mg subcutaneous morphine equivalent. After adjustment for age, gender and dementia, dosage was only associated with type of opioid: the estimated mean opioid dose was 70% lower with tramadol (mean ratio=0,30,95% CI=0,23-0,39) and 67% lower with oxycodone and morphine (mean ratio=0,33, 95% CI=0,22-0,48) compared to transdermal buprenorphine and transdermal fentanyl.Conclusions: One in four patients received opioid treatment. It is not clear whether this reflects under- or overtreatment, but these results can serve as a benchmark for geriatric units to guide future pain management practices. The utilization of transdermal fentanyl and buprenorphine, resulting in higher doses of morphine equivalent, poses significant risks for side effects.

Rural-urban disparities in nutritional status among ever-married women in Bangladesh: A Blinder-Oaxaca decomposition approach

This study aims to investigate socioeconomic disparities in nutritional status among ever-married women in Bangladesh and to break down urban-rural differences in the underlying causes of undernutrition. We utilized data from the Bangladesh Demographic and Health Survey 2017–18, a sample size of 18328 ever-married women, including 5170 from urban residences, and 13159 from rural residences. To explore socioeconomic inequality, we employed a concentration indexing measure, while a multiple binary logistic regression model was carried out to identify the determinants associated with the outcome variable. A Blinder-Oaxaca decomposition analysis was performed to decompose the urban-rural gap in women’s nutritional status using associated factors. The prevalence of undernutrition among ever-married women in Bangladesh was 12 percent. Notably, this percentage varied by region, with urban residents accounting for 8.6% and rural residents accounting for 13.3%. Our findings confirmed that undernutrition was more prevalent among women with lower wealth indexes in Bangladesh, as indicated by the concentration index (CIX = −0.26). The multivariable analysis investigating the determinants of undernutrition status among ever-married women, with a focus on residence revealed significant associations with respondent age, education, marital status, mass media access, wealth status, and division. According to the Blinder-Oaxaca decomposition and its extension, the prevalence was significantly higher in rural residences of Bangladesh than in urban residences, and the endowment effect explained 86 percent of the total urban-rural difference in undernutrition prevalence. The results of this study indicate that the factors that influence women’s nutritional status in rural areas play a significant role in the gap, and the majority of the gap is caused by education and economic position. In order to effectively promote maternal health policies in Bangladesh, intervention techniques should be created that are aimed at the population, that is, the poorest and least educated.

Association Between Influenza Vaccine Uptake and Health Awareness: A Cross-Sectional Questionnaire-Based Study Among Medical Students and Healthcare Workers in Northern Vietnam.

BACKGROUND Seasonal influenza poses a significant global health concern. Despite the proven effectiveness of the influenza vaccine, its uptake remains low in Vietnam. This study aimed to assess the knowledge, attitudes, and practices of medical students and healthcare workers on influenza vaccine uptake in northern Vietnam. MATERIAL AND METHODS A cross-sectional survey was conducted among 585 participants from northern Vietnam institutions through an anonymous online survey via Google form from June to August 2022. The cut-off for a high level of knowledge and a positive attitude was set at 70% for each variable. Bivariate analysis was conducted to establish associations. Multiple binary logistic regression models were used to identify factors associated with knowledge, attitude, and practice. RESULTS Among the participants, 463 (79.15%) were women, 354 (60.51%) were below 25 years old, 426 (72.82%) were of "Kinh" ethnicity, and 454 (77.61%) were single. Only 237 (40.51%) were vaccinated. Good knowledge and attitude were reported by 36.58% and 42.39% of the participants, respectively. Having a high level of knowledge was found positively associated with having a positive attitude (odds ratio 2.11 [1.48-3.01]). Kinh ethnicity was positively associated with knowledge (1.67 [1.12-2.49]) and attitude (1.97 [1.32-2.94]). Female participants displayed a more positive attitude (2.08 [1.33-3.25]). Several factors influenced the uptake, such as being single (2.07 [1.19-3.59]), being a medical doctor (2.34 [1.09-5.06]), and being advised by a healthcare provider (2.96 [2.00-4.37]). CONCLUSIONS A noticeable gap in knowledge and attitude related to influenza vaccine uptake was found among the target population. Tailored interventions are necessary to improve vaccination coverage.

The adverse effect of gestational diabetes mellitus and hypertensive disorders of pregnancy on maternal-perinatal outcomes among singleton and twin pregnancies: a retrospective cohort study (2011-2019).

Gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDP) are the predominant pregnancy complications among singleton and twin pregnancies worldwide. Our primary objective was to explore the adverse effect of GDM and HDP on maternal-perinatal outcomes compared with non-GDM and non-HDP in singleton and twin pregnancies. The secondary objective was to find the risk of adverse maternal-perinatal outcomes in twin pregnancies compared with singleton pregnancies complicated with GDM and HDP in Hubei, China. A tertiary hospital-based retrospective study was conducted at Wuhan University Renmin Hospital, Hubei Province, China, from 2011 to 2019. A chi-square test was used to determine the difference in adverse maternal-perinatal outcomes between singleton and twin pregnancies. A multiple binary logistic regression model and a joinpoint regression model were used to determine the association of GDM and HDP with adverse maternal-perinatal outcomes and GDM and HDP temporal trend among singleton and twin pregnancies. The trend of HDP [average annual percentage change (AAPC) 15.1% (95% confidence interval (95%CI): 5.3, 25.7)] among singleton pregnancies and GDM [AAPC 50.4% (95%CI: 19.9, 88.7)] among twin pregnancies significantly increased from 2011 to 2019. After adjusting for confounding factors, GDM is associated with an increased risk of C-section (adjusted odds ratio (aOR), 1.5; 95%CI: 1.3, 1.6) and macrosomia (aOR, 1.3; 95%CI: 1.1, 1.6) in singleton and preterm birth (PTB) (aOR, 2.1; 95%CI: 1.2, 3.3) in twin pregnancies compared with non-GDM. HDP was associated with a higher risk of C-section, PTB, perinatal mortality, and low birth weight (LBW) in both singleton and twin pregnancies compared with the non-HDP. Compared with singleton pregnancies complicated with GDM and HDP, twin pregnancies showed higher odds of C-section [(aOR, 1.7; 95%CI: 1.1, 2.7), (aOR, 4.6; 95%CI: 2.5, 8.7), respectively], PTB [(aOR, 22.9; 95%CI: 14.1, 37.3), (aOR, 8.1; 95%CI: 5.3, 12.3), respectively], LBW [(aOR, 12.1; 95%CI: 8.2, 18.1), (aOR, 5.1; 95%CI: 3.6, 7.4), respectively], and low Apgar score [(aOR, 8.2; 95%CI: 4.4, 15.1), (aOR, 3.8; 95%CI: 2.4, 5.8), respectively] complicated with GDM and HDP. In conclusion, GDM showed an increased risk of a few adverse maternal-perinatal outcomes and HDP is associated with a higher risk of several adverse maternal-perinatal outcomes in singleton and twin pregnancies compared to non-GDM and non-HDP. Moreover, twin pregnancies complicated with GDM and HDP showed higher odds of adverse maternal-neonatal outcomes compared with singleton pregnancies complicated with GDM and HDP.

Pathogenetic Mechanisms Underlying Major Adverse Cardiac Events in Personality Type D Patients after Percutaneous Coronary Intervention: The Roles of Cognitive Appraisal and Coping Strategies.

This paper aimed to study the association of type D personality, coping strategies, and cognitive appraisal with annual prognosis after a percutaneous coronary intervention (PCI) in patients with coronary artery disease (CAD). The prospective study included 111 CAD patients who underwent a PCI. All participants, before the PCI, completed questionnaires designed to collect information about type D personality, cognitive appraisal, and coping styles. Information was also collected on the clinical and demographic characteristics of the patients. After 1 year of follow-up, the presence of major adverse cardiac events (MACEs) was assessed. The presence of a MACE was noted in 38 patients, and the absence of a MACE was noted in 53 patients. In patients with type D personality, higher incidences of MACEs (54.1% versus 33.3%; p = 0.0489) and hospitalization rates (29.7% versus 7.4%; p = 0.004) were revealed. Patients with poor prognoses preferred a moderate use of the confrontation strategy than patients without a MACE (78.4% vs. 50.9%; p = 0.0082). Patients with MACEs had statistically significantly lower indicators of strong emotions (11.92 ± 5.32 versus 14.62 ± 4.83 points; p = 0.005) and future prospects (11.36 ± 3.81 versus 13.21 ± 3.41 points; p = 0.015) than patients without a MACE. In a multiple binary logistic regression model, the following factors had significant associations with MACE development: type D, moderate use of confrontation coping, moderate use of self-control coping, and strong emotions in cognitive appraisal. This study showed that not only personality type D, but also certain coping strategies and cognitive appraisals increase the likelihood of developing a MACE after a PCI. This provides a theoretical basis for understanding the mechanism underlying type D personality and MACEs in patients after a PCI.

Factors affecting depression among married adults: a gender-based household cross-sectional study

BackgroundDepression is a common mental health problem all over the world including Bangladesh. World Health Organization included it in the Mental Health Gap Action Programme as one of its priority conditions. Research on this issue is scanty in Bangladesh. Therefore, we designed to a gender-based household study on associated factors of depression among married adults in Rajshahi City of Bangladesh.MethodsWe conducted this household cross-sectional study from August 01 to October 31, 2019. A total of 708 married adults currently living together in Rajshahi City were recruited for this study. We applied a multi-stage random sampling technique for selecting samples and used a semi-structured questionnaire to collect necessary information from them. The Patient Health Questionnaire-9 was used for measuring depression and frequency distribution and binary logistic regression model were used for data analysis.ResultsThe prevalence of depression (moderate to severe) was 14.4% (95% CI: 11.9–16.9) among married adults, and females (21.2%, 95% CI: 17.2–25.4) suffered more than males (7.6%, 95% CI: 4.8–10.5). A multiple binary logistic regression model established four main factors of depression among married females: (i) multiple marriage [AOR = 19.982; 95% CI: 10.081–39.610; p < 0.01]; (ii) poor relationship with spouse [AOR = 2.175; 95%CI: 1.068–4.428; p < 0.05]; (iii) chronic medical comorbidity [AOR = 1.876; 95%CI: 1.009–2.626; p < 0.05]; and (iv) 7–12 years duration of conjugal life [AOR = 2.091, 1.009–4.334; p < 0.05]. Two main factors of depression among married males were (i) multiple marriage [AOR = 24.605; 95% CI: 20.228–40.402; p < 0.01] and hard work [AOR = 4.358; 95%CI: 1.109–7.132; p < 0.05].ConclusionThe prevalence of depression was significantly high among the study population, and females were the most vulnerable group. The concerned authorities and stakeholders should take appropriate measures to manage the problem with special focus on the risk factors and the vulnerable groups.

Logistic regression model for predicting failure of dual antihypertensive therapy: a prospective comparative non-randomized clinical trial

Background. Initial dual antihypertensive therapy is currently considered as the first management step for the majority of patients with arterial hypertension. However, it often fails to achieve the target blood pressure levels. An approved algorithm for predicting the failure of dual antihypertensive therapy is still to be developed. Objectives. To establish predictors of dual antihypertensive therapy failure in patients with high and very high cardiovascular risk and to create a model for predicting negative outcome of dual antihypertensive therapy. Methods. The paper presents a prospective comparative non-randomized clinical trial. The recruiting of participants and recording of results were carried out in March–December 2019 with 3 months of the follow-up period. The trial involved examination of 88 patients with poor blood pressure control, stage II and III arterial hypertension, high and very high cardiovascular risk of stages 1–3. Clinical and laboratory examination was carried out in compliance with the current regulatory documents. Additional examination included tests for uric acid, high-sensitivity C-reactive protein, as well as respiratory polygraphy and computerized capillaroscopy. All patients were prescribed dual antihypertensive therapy. The primary search for predictors was performed using the binary logistic regression. The predictive model was developed by stepwise variable selection. The diagnostic significance of the binary classifier was assessed by means of ROC-curve analysis; the calculation was performed using MedCalc 20.218 software (MedCalc Software Ltd., Belgium). Results. Administration of two hypotensive drugs appears to be effective in 33% of patients. The final model for predicting negative outcomes of dual antihypertensive therapy included such independent predictors as interventricular septal thickness, daily mean systolic blood pressure, and area density of the capillary network. The odds ratio accounted for 9.1 (95% confidence interval 3.12; 26.82). The area under the ROC curve based on the multiple binary logistic regression model comprised 0.805±0.05 with 95% confidence interval: 0.707-0.882 (p&lt;0.0001). The sensitivity and specificity of the method amounted to 83.1 and 69.0%, respectively. The prediction accuracy comprised 77.3%. Conclusion. The development of patient-oriented algorithms for selection of hypotensive treatment is considered to be essential due to poor blood pressure control during dual antihypertensive therapy. The developed prognostic model may be applied when managing hypertension.

Study on the Correlation of Elevated Neutrophil-To-Lymphocyte Ratio and Platelet-To-Lymphocyte Ratio With Covid-19 Mortality among Patients in a Hospital Isolation Ward in Baler, Aurora

Neutrophil-to-Lymphocyte Ratio (NLR) and Platelet-to-Lymphocyte Ratio (PLR) are inflammatory biomarkers known to assess several disease types effectively. With the surge of Coronavirus disease (COVID-19) cases, many patients manifested various systemic inflammatory conditions suggesting a possible relationship between the predictive values of NLR and PLR to COVID-19 mortality. The study aims to assess a correlation between elevated biomarker values of NLR and PLR with COVID-19 mortality. A single-center, cross-sectional study of COVID-19 patients, admitted to a hospital isolation ward in Baler, Aurora, between May to October 2021 was conducted. Secondary data, namely demographic profiles, complete blood count results, and comorbidities upon admission, were collected. The effect of NLR and PLR on the risk of mortality, along with the impact of covariate variables that may affect the study’s outcome, was determined using a multiple binary logistic regression model and the computation of the odds ratio. 264 COVID-19 patients were included in the study–202 were recovered and 62 were deceased. Multiple binary logistic regression demonstrated a higher mortality risk in patients with elevated NLR (OR=2.607; 95% CI: 1.276 to 5.324; p=.009). Other risk factors such as age (OR=1.053; 95% CI: 1.029 to 1.077; p&lt;.001) and diabetes mellitus (OR=3.537; 95% CI: 1.441 to 8.682; p=.006) are risk factors for COVID-19 mortality. Patients with elevated NLR values indicate poor clinical outcomes with a higher mortality risk compared to those with low NLR in COVID-19 patients. Moreover, age and diabetes must be considered in patient assessment upon admission due to their correlation to COVID-19 mortality. Keywords: COVID-19 mortality, inflammatory biomarker, Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR).

Prevalence of osteoporosis in patients awaiting unicompartmental knee arthroplasty: a cross-sectional study.

Osteoporosis may contribute to failure of unicompartmental knee arthroplasty (UKA), yet the prevalence of osteoporosis in the population awaiting UKA has not been adequately studied. The objectives of this study were to report the prevalence of osteoporosis in people awaiting UKA and the rate of anti-osteoporosis treatment, and to explore factors associated with osteoporosis prevalence in people awaiting UKA. Participants awaiting UKA from January 2019 to May 2023 were consecutively enrolled. Participants ' age, gender, BMI, knee K-L score, VAS score, history of previous DXA testing, history of anti-osteoporosis treatment, and possible underlying risk factors were recorded. All participants were given a dual-energy x-ray absorptiometry (DXA) test after the visit. The diagnosis of osteoporosis was made according to the World Health Organization criteria. Compare the prevalence of osteoporosis between people waiting for UKA and the general population. Risk factors associated with osteoporosis were analyzed using multiple linear regression and binary logistic regression models. A total of 340 participants were included in the study, 259 in female and 81 in male, with a mean age of 63.53 years (range: 41-84 years), and all participants completed UKA and had DXA prior to UKA. The prevalence of osteoporosis was 40.88% (44.79% in female and 28.40% in male). The prevalence of osteoporosis was higher in female than in male (p<0.001). The prevalence of osteoporosis in the population waiting for UKA was significantly higher than that in the general population (p < 0.001). DXA testing was performed in 12.06% within 1 year prior to the visit. The percentage of those who had received anti-osteoporosis treatment was 20.59% (20.86% in osteoporosis, 22.39% in Osteopenia and 16.42% in normal bone mass). The correlation between age, gender, body mass index, visual analogue scale score and osteoporosis was statistically significant. Osteoporosis is common in people waiting for UKA, but screening and treatment rates are low. Female patients of advanced age and low weight combined with significant pain should be considered for osteoporosis screening and appropriate treatment before UKA.

Intention to Purchase through Parent Blogs: Evidence from Poland

This article investigates the role of trust/reputation and parasocial influence in influencing purchase intention among consumers of baby products who frequent Polish parenting blogs. Empirical data was collected by survey (n-1050) of blog readers to construct a model to assess the impact of trust/reputation and parasocial influence. Factor analysis was used to create scores which were then tested using a multiple binary logistic regression model. The research found that while both trust/reputation and parasocial influence were important determinants of consumer purchase intention, trust was significantly more important to baby product consumers than parasocial influence. Additionally, parasocial influence was a more important indicator of purchase intention among younger respondents (under 23 years of age) than those 23 years and older. Additionally, readers who have read blogs for longer are more likely to trust these sources, perceiving them to be reputable. Hence, bloggers should aim to foster long-term relationships with consumers when endorsing products that demand higher trust, such as baby products.

Understanding how individuals engage in match-fixing: the role of moral disengagement

ABSTRACT Research question This study aims to investigate the role of moral disengagement in individuals’ decisions to consent to match-fixing, either alone or in concert with money, other inducements, and threats or pressure. Drawing on the moral (dis)comfort component of an individual's rational-choice cost–benefit assessment, we examine the potential of moral disengagement as an explanatory mechanism. Research methods Data were obtained through an online questionnaire. The analysis was based on an international sample of 383 current and former athletes, coaches, referees, and board members who have reported having been approached for match-fixing in the past. The empirical evaluation employed descriptive statistics and (multiple) binary logistic regression models, which were performed using SPSS 24 software. Results and Findings Results indicate that a higher propensity to morally disengage can be associated with increased odds of consenting to match-fixing. These results suggest that individuals approached with a match-fixing proposal tend to employ self-defensive mechanisms to rationalise their decision to engage in match-fixing. Furthermore, the use of threats or pressure was found to have a significant impact on the decision to participate in match-fixing, both alone and in concert with (monetary) inducements and moral disengagement. While a positive significant interaction effect was observed between moral disengagement and the offer of (monetary) inducements, no significant interaction effect was noted between moral disengagement and threats or pressure. Implications This study offers novel individual-level explanations for match-fixing. Enriching the dominant rational-choice paradigm, this study emphasises the importance of detecting and counteracting moral disengagement mechanisms in match-fixing prevention initiatives.

Trends and correlates of low HIV knowledge among ever-married women of reproductive age: Evidence from cross-sectional Bangladesh Demographic and Health Survey 1996-2014.

The human immunodeficiency virus (HIV) burden has frequently been changing over time due to epidemiological and demographic transitions. To safeguard people, particularly women of reproductive age, who can be exposed to transmitting this burden to the next generation, knowledge regarding this life-threatening virus needs to be increased. This research intends to identify the trends and associated correlates of "low" HIV knowledge among ever-married women of reproductive age in Bangladesh from 1996 to 2014. We analyzed data derived from six surveys of Bangladesh Demographic and Health Surveys conducted in 1996, 1999, 2004, 2007, 2011, and 2014. Analyses were primarily restricted to ever-married women aged 15-49 years who had ever heard of HIV. The correlates of "low" HIV knowledge were investigated using multiple binary logistic regression models. The study found that the proportion of women with "low" HIV knowledge decreased from 72% in 1996 to 58% in 2014. In adjusted models, age at first marriage, level of education, wealth quintile, and place of residence (except in the survey year 2011) were found to be potential correlates of "low" HIV knowledge in all survey years. In the pooled analysis, we found lower odds of "low" HIV knowledge in the survey years 1999 (Adjusted Odds Ratio: 0.67; 95% CI: 0.57, 0.78), 2004 (AOR: 0.60; 95% CI: 0.52, 0.70), 2007 (AOR: 0.51; 95% CI: 0.44, 0.60), 2011 (AOR: 0.36; 95% CI: 0.32, 0.42) and 2014 (AOR: 0.47; 95% CI: 0.41, 0.54) compared to the survey year 1996. The proportion of "low" HIV knowledge has declined over time, although the proportion of women with "low" HIV knowledge still remains high. The prevention of early marriage, the inclusion of HIV-related topics in the curricula, reduction of disparities between urban-rural and the poorest-richest groups may help to improve the level of HIV knowledge among ever-married Bangladeshi women.

Previous Experience in Medical Decision Making and Advance Care Planning Conversations: Findings From a Nationwide Cross-Sectional Survey.

Background: Despite the extensive literature on facilitating advance care planning (ACP) with patients with serious illnesses, opportunities to include surrogates or family caregivers are overlooked. The research objective was to examine whether previous medical decision-making involvement for a loved one is associated with one's own ACP conversations with family and the potential mediating effect of knowledge of a loved one's end-of-life treatment preferences. Methods: This study employed a cross-sectional design using data from the 2016 Kaiser Family Foundation/The Economist Four-Country Survey on Aging and End-of-Life Medical Care. The sample included 627 US adults who completed the survey and were involved in making medical decisions for a loved one in the past. Multiple binary logistic regression and linear regression models were established for mediation analyses. Results: Participants in our nationally derived sample were largely confident in their knowledge of a deceased loved one's end-of-life treatment preferences. 66.8% of the sample had ACP conversations with family. The involvement in a loved one's medical decision making was significantly associated with higher odds of having ACP conversations with family (OR = 1.93, P = .01), but this relationship was significantly mediated by knowledge of one's end-of-life treatment preferences (b = .31, Boot CI = .12-.49). Conclusions: Previous experience in making medical decisions for a loved one may facilitate one's own ACP behavior through knowing a loved one's end-of-life treatment preferences. Clinicians in end-of-life settings are uniquely positioned to engage family members who were involved in medical decision-making for others before in ACP.

Is Psychological Distress Associated with Self-Perceived Health, Perceived Social Support and Physical Activity Level in Spanish Adults with Diabetes?

Depressive and anxiety symptoms are common in people with type 1 and type 2 diabetes mellitus. Physical activity and social support may prevent or reduce psychological distress in this population. This study aimed to analyse the associations between psychological distress, self-perceived health (SPH), perceived social support (PSS) and physical activity level (PAL) in adults with a diabetes mellitus diagnosis from Spain. A cross-sectional study based on data from the Spanish National Health Survey (ENSE2017) with a final sample of 1006 individuals with diabetes mellitus aged between 15 and 70 years, who completed the Adult Questionnaire. Some of the items from this survey were taken from existing questionnaires: the Goldberg General Health Questionnaire (GHQ-12) for Mental Health status and psychological distress, the Duke-UNC-11 Functional Social Support Questionnaire for PSS and the International Physical Activity Questionnaire (IPAQ) for PAL. A descriptive analysis and non-parametric statistical tests were carried out, including correlation analysis, multiple binary logistic regression and linear regression model calculations. It was found that SPH was related to PAL (p < 0.001): positive SPH prevalence was higher in the Active and Very Active groups (p < 0.05). Weak inverse correlations were found between the GHQ-12 and the PAL (rho: -0.230; p < 0.001) and PSS (rho: -0.234; p < 0.001). Physical inactivity and lower PSS were risk factors for negative SPH and worst physiological outcomes. Thus, higher PAL and PSS were positively correlated with SPH and lower psychological stress in Spanish adults with diabetes mellitus.

Evaluation of Satisfaction with the Built Environment of University Buildings under the Epidemic and Its Impact on Student Anxiety.

Anxiety on college campuses has increased due to the COVID-19 epidemic's profound effects on society. Much research has been conducted on how the built environment influences mental health; however, little has been undertaken on how it affects student mental health in the context of the epidemic from the architectural scale perspective of academic buildings. Based on online survey data, this study develops multiple linear regression and binary logistic regression models to investigate students' satisfaction ratings of the academic buildings' physical environments during the epidemic and how these satisfaction ratings affect students' anxiety tendencies. According to the study's findings regarding the natural exposure perspective, students who perceived the academic building's poor semi-open space view (p = 0.004, OR = 3.22) as unsatisfactory factors were more likely to show anxiety tendencies. In terms of the physical conditions, students who were dissatisfied with the noise level in the classroom (p = 0.038, OR = 0.616) and the summer heat in semi-open spaces (p = 0.031, OR = 2.38) were more likely to exhibit anxiety tendencies. Additionally, even after controlling for confusing distractions, the general satisfaction rating of the academic building's physical environments (p = 0.047, OR = 0.572) was still able to significantly and negatively affect students' anxiety tendencies. The study's findings can be used in the architectural and environmental planning of academic buildings focusing on mental health.

Factors Associated with Job Satisfaction among Government School Teachers in Nuwara- Eliya District of Sri Lanka

Job satisfaction among teachers has received immense importance in increasing the quality of education. Students' performance in schools will never be improved without teachers' commitment, effectiveness to work at school, and job satisfaction. The teachers in government schools in Sri Lanka are frustrated with their job. This study aims to examine the determinants of job satisfaction among teachers in government schools in Sri Lanka. The study was conducted in the Nuwara Eliya district. A sample of 352 teachers was selected using multi-stage stratified random sampling. Descriptive statistics, principal components factor analysis, and multiple binary logistic regression models were used in data analysis. Descriptive statistics show that most sample teachers are female (65%) and married (62%). The principal components factor analysis extracted two factors labeled as community factors and school factors from 13 dimensions describing teachers' job satisfaction based on eigenvalues. The multiple binary logistic regression model results indicate that community factors, school factors, gender, and educational qualification were significant in the model to explain the teachers' job satisfaction. Further, the odds ratio for community factors is greater than 1 and positively related to Teacher’s job satisfaction. Similarly, School factors too have built a positive relationship. The model predicts the probability of being satisfied for the female is 0.52 while it is 0.21 for the male. The probability of being satisfied for degree holders is 0.02 while it is 0.52 for diplo-matic teachers compared to trained teachers. It is concluded that attention should be paid to community factors and school factors to enhance the teachers' job satisfaction to improve the quality of education.

The influencing factors of health-related quality of life of the general population of Iran during the COVID-19 Pandemic.

COVID-19 is a global challenge that negatively affects the health-related quality of life (HRQoL) of the general population. The current study aimed to evaluate HRQoL and its associated factors among the Iranian general population during the COVID-19 pandemic. The data were collected in 2021 using the EuroQol 5-Dimension 3-Level (EQ-5D-3L) and EQ-5D Visual Analog Scale (EQ VAS) questionnaires through an online survey. Participants were recruited via social media from the Fars province. The multiple binary logistic regression model was used to identify factors influencing participants' HRQoL. Kolmogorov-Smirnov, the t-test, ANOVA, and the chi-square test were used. All tests were conducted at a significance level of 5% using Stata 14.2 and SPSS 16. A total of 1,198 participants were involved in this cross-sectional study. The mean age of participants was 33.3 (SD:10.2), and more than half were women (55.6%). The mean EQ-5D-3L index value and EQ-VAS of the respondents were 0.80 and 77.53, respectively. The maximum scores of the EQ-5D-3L and EQ-VAS in the present study were 1 and 100, respectively. The most frequently reported problems were anxiety/depression (A/D) (53.7%), followed by pain/discomfort (P/D) (44.2%). Logistic regression models showed that the odds of reporting problems on the A/D dimension increased significantly with supplementary insurance, including concern about getting COVID-19, hypertension, and asthma, by 35% (OR = 1.35; P = 0.03), 2% (OR = 1.02; P = 0.02), 83% (OR = 1.83; P = 0.02), and 6.52 times (OR = 6.52; P = 0.01), respectively. The odds of having problems on the A/D dimension were significantly lower among male respondents, those in the housewives + students category, and employed individuals by 54% (OR = 0.46; P = 0.04), 38% (OR = 0.62; P = 0.02) and 41% (OR = 0.59; P = 0.03), respectively. Moreover, the odds of reporting a problem on the P/D dimension decreased significantly in those belonging in a lower age group and with people who were not worried about getting COVID-19 by 71% (OR = 0.29; P = 0.03) and 65% (OR = 0.35; P = 0.01), respectively. The findings of this study could be helpful for policy-making and economic evaluations. A significant percentage of participants (53.7%) experienced psychological problems during the pandemic. Therefore, effective interventions to improve the quality of life of these vulnerable groups in society are essential.

Knowledge of and Testing Rate for Hepatitis C Infection among the General Public of Saudi Arabia: A Cross-Sectional Study.

The Ministry of Health in Saudi Arabia has announced a plan to eradicate hepatitis C virus (HCV) infection. This study sought to evaluate the knowledge levels and testing rate among the general population of Saudi Arabia. A cross-sectional study was conducted using data collected from an online, self-administered survey. Multivariable analysis was conducted using multiple binary logistic regression models to identify factors associated with low knowledge levels as well as predictors of HCV testing. A total of 689 participants completed the survey. While most participants (88%) have heard of HCV infection, less than half (47.3%) understood that HCV is curable with medications. More than half of the participants (53.7%) have low knowledge about HCV infection. Testing for HCV was reported by 123 respondents (17.8%), and the odds of testing for HCV were significantly lower among residents of the Makkah region (OR = 0.59 [95% CI: 0.36-0.97]) and those with low knowledge level (OR = 0.47 [95% CI: 0.29-0.74]). HCV diagnosis was reported by nine respondents (1.3%), of whom only four reported receiving treatment (44%). Our study indicates inadequate knowledge levels and relatively low testing rate. These findings underscore the need for national awareness campaigns and more effective strategies for HCV screening.