Quality of life and its related-influencing factors in patients with cervical cancer based on the scale QLICP-CE(V2.0).

BACKGROUND: Quality of life research can guide clinical workers to adopt more targeted treatment and intervention measures, so as to achieve the purpose of improving patients' quality of life. The objective of this study was to evaluate health-related quality of life in Chinese patients with cervical cancer and to explore its influencing factors. METHODS: A total of 186 patients with cervical cancer were investigated by using the QLICP-CE (V2.0) scale (Quality of Life Instruments for Cancer Patients-Cervical Cancer) developed by our group in China. The data were analyzed by t-test, one-way ANOVA, univariate analysis, and multivariate linear regression. RESULTS: The total score of quality of life scale for cervical cancer patients was (62.58 ± 12.69), Univariate analysis of objective clinical indexes showed that creatinine concentration was a negative influence factor in the psychological domain, potassium ion concentration was a negative influence factor in the common symptoms and side effect domain, erythrocyte content was a positive influence factor physical domain and common general domain. Multiple linear regression results suggested that clinical staging was the influencing factor of common symptom and side effect domain, common general module and total score of scale. Marital status has different degrees of influence on the psychological, social, and common general domains. The level of education also influenced scores in the social domain. CONCLUSION: The total score of quality of life in patients with cervical cancer who received active treatment was acceptable. Marital status, clinical staging, and educational level are the factors that affect the quality of life of patients with cervical cancer. At the same time, potassium ion concentration, red blood cell count and creatinine concentration also have important effects on quality of life in patients with cervical cancer. Therefore, it is very important to give personalized treatment and nursing to patients based on various factors.

The effect of married status on cancer-specific mortality in nonmetastatic pelvic liposarcoma patients according to sex.

BACKGROUND: In nonmetastatic pelvic liposarcoma patients, it is unknown whether married status is associated with better cancer-control outcome defined as cancer-specific mortality (CSM). We addressed this knowledge gap and hypothesized that married status is associated with lower CSM rates in both male and female patients. METHODS: Within the Surveillance, Epidemiology, and End Results database (2000-2020), nonmetastatic pelvic liposarcoma patients were identified. Kaplan-Meier plots and univariable and multivariable Cox regression models (CRMs) predicting CSM according to marital status were used in the overall cohort and in male and female subgroups. RESULTS: Of 1078 liposarcoma patients, 764 (71%) were male and 314 (29%) female. Of 764 male patients, 542 (71%) were married. Conversely, of 314 female patients, 192 (61%) were married. In the overall cohort, 5-year cancer-specific mortality-free survival (CSM-FS) rates were 89% for married versus 83% for unmarried patients (Δ = 6%). In multivariable CRMs, married status did not independently predict lower CSM (hazard ratio [HR]: 0.74, p = 0.06). In males, 5-year CSM-FS rates were 89% for married versus 86% for unmarried patients (Δ = 3%). In multivariable CRMs, married status did not independently predict lower CSM (HR: 0.85, p = 0.4). In females, 5-year CSM-FS rates were 88% for married versus 79% for unmarried patients (Δ = 9%). In multivariable CRMs, married status independently predicted lower CSM (HR: 0.58, p = 0.03). CONCLUSIONS: In nonmetastatic pelvic liposarcoma patients, married status independently predicted lower CSM only in female patients. In consequence, unmarried female patients should ideally require more assistance and more frequent follow-up than their married counterparts.

Participatory methods used in the evaluation of medical devices: a comparison of focus groups, interviews, and a survey.

BACKGROUND: Stakeholder engagement in evaluation of medical devices is crucial for aligning devices with stakeholders' views, needs, and values. Methods for these engagements have however not been compared to analyse their relative merits for medical device evaluation. Therefore, we systematically compared these three methods in terms of themes, interaction, and time-investment. METHODS: We compared focus groups, interviews, and an online survey in a case-study on minimally invasive endoscopy-guided surgery for patients with intracerebral haemorrhage. The focus groups and interviews featured two rounds, one explorative focussing on individual perspectives, and one interactive focussing on the exchange of perspectives between participants. The comparison between methods was made in terms of number and content of themes, how participants interact, and hours invested by all researchers. RESULTS: The focus groups generated 34 themes, the interviews 58, and the survey 42. Various improvements for the assessment of the surgical procedure were only discussed in the interviews. In focus groups, participants were inclined to emphasise agreement and support, whereas the interviews consisted of questions and answers. The total time investment for researchers of focus groups was 95 h, of interviews 315 h, and survey 81 h. CONCLUSIONS: Within the context of medical device evaluation, interviews appeared to be the most appropriate method for understanding stakeholder views since they provide a scope and depth of information that is not generated by other methods. Focus groups were useful to rapidly bring views together. Surveys enabled a quick exploration. Researchers should account for these methodological differences and select the method that is suitable for their research aim.

Characterizing provider bias in contraceptive care in Tanzania and Burkina Faso: A mixed-methods study.

Provider bias based on age, marital status, and parity may be a barrier to quality contraceptive care. However, the extent to which bias leads to disparities in care quality is not well understood. In this mixed-methods study, we used four different data sources from the same facilities to assess the extent of bias and how much it affects contraceptive care. First, we surveyed providers in Tanzania and Burkina Faso (N = 295) to assess provider attitudes about young, unmarried, and nulliparous clients. Second, mystery clients anonymously visited providers for contraceptive care and we randomly assigned the reported age, marital status, and parity of each visit (N = 306). We used data from these visits to investigate contraceptive care disparities across 3 domains: information provision and counseling quality, contraceptive method provision, and perceived treatment. Third, we complemented mystery client data with client exit surveys (N = 31,023) and client in-depth interviews (N = 36). In surveys, providers reported biased attitudes against young, unmarried, and nulliparous clients seeking contraceptives. Similarly, we found disparities according to these characteristics in the reporting of contraceptive care quality; however, we found that each characteristic affected a different quality of care domain. Among mystery clients we found age-related disparities in the provision of methods; 16/17-year-old clients were 18 and 11 percentage points less likely to perceive they could take a contraceptive method relative to 24-year-old clients in Tanzania and Burkina Faso, respectively. Unmarried mystery clients perceived worse treatment from providers compared to married clients. Nulliparous mystery clients reported lower quality contraceptive counseling than their parous counterparts. These results suggest that clients of different characteristics likely experience bias across different elements of care. Improving care quality and reducing disparities will require attention to which elements of care are deficient for different types of clients.

Sample, time, and wording effects on estimating the prevalence of childfree adults: Insights from Japan.

Childfree adults neither have nor want children, but estimates of their prevalence vary widely, leading to ambiguity about how common this family status actually is. The goal of this study is to examine the effects of sample composition, time, and question wording on estimates of the prevalence of childfree adults. We pool 83 nationally representative estimates of the prevalence of childfree adults in Japan since 2000 using meta-regression to identify the influence of sex, marital status, year, and survey question. Prevalence estimates are higher when computed from samples of women than men, from samples of singles than married people, from samples collected more recently, and from surveys asking questions about expectations than wants. Most of the variation in estimates of the prevalence of childfree adults can be attributed to differences in sample composition, time, and question wording. Taking these factors into account, we estimate that over 2.5 million Japanese adults age 18-50, or 5.64% of this population, were childfree in 2020.

Exploring the inequalities experienced by health and care workforce and their bases - A scoping review protocol.

Planning for investment in human resources for health (HRH) is critical to achieve Universal Health Coverage (UHC) and establish a sustainable health system. Informed planning warrants a better understanding of the health labour market (HLM) to tackle a variety of health and care workforce challenges: from addressing critical supply shortage, to ensuring optimal skills mix and distribution, and addressing motivation and performance challenges. Scant evidence around the overall role of socioeconomic and cultural factors like gender, race, marital status, citizenship (migrant) status, workplace hierarchy etc. in determining workforce composition, deployment, distribution, retention, un- and underemployment, sub-optimal work environments and other factors in the 'HRH crisis' warrants further exploration. This scoping review protocol aims to map and present the available evidence on inequalities experienced by health and care workforce, the socio-economic, cultural and other bases of these inequalities, and their outcomes/ consequences. PubMed, Web of Science, CINAHL and SCOPUS will be used to identify relevant literature. All types of published study designs in English language will be included if they discuss any inequality experienced by any category of health and care workers. Elaborate keyword categories for health and care workers and inequalities context have been developed, tested and reduced to the near-final search string. Eligible articles will be charted using the Joanna Briggs Institute checklist. The sample data extraction chart in JBI manual will be used as a basic skeleton with fields added to it to serve the needs of the scoping review. Descriptive analysis will be performed, depicting basic frequencies. While no further analysis has been advised in the JBI and PRISMA protocol, thematic analysis will be undertaken; following the Braun and Clarke's method with some modification and open coding as suggested by Maquire and Delahunt.

Analyzing Depressive Symptoms Among Elderly Cancer Patients: A Comprehensive Examination of Demographic and Medical Correlates.

OBJECTIVE: This study aimed to explore the relationship between depressive symptoms and demographic as well as health-related variables in elderly individuals diagnosed with cancer. METHODS: A cohort of 50 elderly cancer patients participated in the study. Data collection involved the completion of surveys and assessments encompassing demographic characteristics, medical profiles, levels of depression, cognitive functioning, activities of daily living, and perceived social support. RESULTS: Findings revealed that among the elderly participants, 45% experienced mild depression, 20% exhibited moderate depression, and 5% showed severe depression. Depression levels were found to be linked to marital status (P = 0.03), with widowed individuals reporting the highest depression rates (80%) and single individuals reporting the lowest (4%). Living arrangements were significantly associated with depression (P = 0.012), with participants cohabiting with their partner and children showing lower depression rates (6%) compared to those living solely with their children (40%). Additionally, depression showed a significant correlation with income (P = 0.01), as individuals reporting insufficient income for living expenses displayed higher levels of depression (58%). Furthermore, depression was notably linked to chronic health conditions like diabetes and respiratory ailments (P = .023), with individuals grappling with respiratory issues reporting the highest depression scores. CONCLUSION: Recognizing and addressing factors such as marital status, living situation, income level, and the presence of chronic illnesses hold the potential for healthcare professionals to tailor interventions effectively to meet the specific requirements of this vulnerable demographic. This tailored approach has the capability to contribute significantly to enhancing the overall well-being and mental health outcomes of elderly cancer patients.

The relationship between marital status and cognitive impairment in Chinese older adults: the multiple mediating effects of social support and depression.

BACKGROUND: Marital status is a potentially essential factor for cognitive impairment. Relevant research examining the potential pathways through which the marital status of spouseless older people is associated with cognitive impairment needs to be more adequate. Therefore, this study aims to investigate the serial mediating effects of various forms of social support and depression between marital status and cognitive impairment in older Chinese people. METHODS: This study involved a secondary analysis of data from the 2014-2018 wave of the Chinese Longitudinal Healthy Longevity Survey (CLHLS), with a total of 2,647 Chinese older adults and 53.6% being males. Mediation analysis using the SPSS process macro was conducted. RESULTS: The results indicated that marital status was significantly predictive of cognitive impairment among older people, and those with a spouse exhibited higher cognitive functioning. Informal social support and depression were found to play partial mediating roles in the association between marital status and cognitive impairment. The findings also revealed that marital status was unrelated to formal social support, and no association between formal social support and cognitive impairment was found. CONCLUSIONS: The study findings highlight the need for social service providers to design programs for promoting connections associated with informal support to reduce their risk of depression and cognitive impairment and for policymakers to develop effective formal social support systems for older people without spouses. This study indicated that older people could regain the benefits of marriage to lower the risk of depression and improve their mental health.

Studying the impact of marital status on diagnosis and survival prediction in pancreatic ductal carcinoma using machine learning methods.

Pancreatic cancer is a commonly occurring malignant tumor, with pancreatic ductal carcinoma (PDAC) accounting for approximately 95% of cases. According of its poor prognosis, identifying prognostic factors of pancreatic ductal carcinoma can provide physicians with a reliable theoretical foundation when predicting patient survival. This study aimed to analyze the impact of marital status on survival outcomes of PDAC patients using propensity score matching and machine learning. The goal was to develop a prognosis prediction model specific to married patients with PDAC. We extracted a total of 206,968 patient records of pancreatic cancer from the SEER database. To ensure the baseline characteristics of married and unmarried individuals were balanced, we used a 1:1 propensity matching score. We then conducted Kaplan-Meier analysis and Cox proportional-hazards regression to examine the impact of marital status on PDAC survival before and after matching. Additionally, we developed machine learning models to predict 5-year CSS and OS for married patients with PDAC specifically. In total, 24,044 PDAC patients were included in this study. After 1:1 propensity matching, 8043 married patients and 8,043 unmarried patients were successfully enrolled. Multivariate analysis and the Kaplan-Meier curves demonstrated that unmarried individuals had a poorer survival rate than their married counterparts. Among the algorithms tested, the random forest performed the best, with 0.734 5-year CSS and 0.795 5-year OS AUC. This study found a significant association between marital status and survival in PDAC patients. Married patients had the best prognosis, while widowed patients had the worst. The random forest is a reliable model for predicting survival in married patients with PDAC.

A study on the impact of marital status on the survival status of prostate cancer patients based on propensity score matching.

Marital status is an independent prognostic factor for survival in many types of cancers, but its prognostic impact on patients with prostate cancer (PCa) has not been established. The aim of this study was to explore the independent prognostic factors of PCa and to investigate the effect of marital status on survival outcomes in patients with different stratified by PCa. Using the surveillance, epidemiology, and end results (SEER) database, we collected data on 584,655 PCa patients diagnosed between 1975 and 2019. Marital status was classified as married, divorced, widowed, and single. We used the Kaplan-Meier analysis and single multivariate Cox proportional hazards regression analysis to determine the effect of marital status on overall survival (OS) and cancer-specific survival (CSS). In addition, we performed subgroup analyses for different ages, Gleason score and PSA values, and performed a 1:1 propensity score matching (PSM) to reduce the impact of confounding factors to obtain more accurate matching results. According to our findings, marital status was an independent prognostic factor for the survival of PCa patients and a better prognosis of married patients. Moreover, we also found that factors such as age, TNM stage, Gleason score, and PSA concentration were also considered as important predictors for the prognosis of PCa. The above findings can facilitate early detection and treatment of high-risk PCa patients, prolong their life and reduce family burden.

The influence of marital status at diagnosis on survival of adult patients with mantle cell lymphoma.

PURPOSE: Marital status has been reported to influence the survival outcomes of various cancers, but its impact on patients with mantle cell lymphoma (MCL) remains unclear. This study aimed to assess the influence of marital status at diagnosis on overall survival (OS) and cancer-specific survival (CSS) in patients with MCL. METHODS: The study utilized data from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER)-18 databases, including 6437 eligible individuals diagnosed with MCL from 2000 to 2018. A 1:1 propensity matching method (PSM) minimized confounding factor. Univariate and multivariate analyses determined hazard ratios (HR). Stratified hazard models were developed for married and unmarried statuses across time intervals. RESULTS: Married patients exhibited better 5-year OS and CSS rates compared to unmarried patients (54.2% vs. 39.7%, log-rank p < 0.001; 62.6% vs. 49.3%, log-rank p < 0.001). Multivariate analysis indicated that being unmarried was an independent risk factor for OS (adjusted HR 1.420, 95% CI 1.329-1.517) and CSS (adjusted HR 1.388, 95% CI 1.286-1.498). After PSM, being unmarried remained an independent risk factor for both OS and CSS. Among unmarried patients, widowed individuals exhibited the poorest survival outcomes compared to patients with other marital statuses, with 5-year OS and CSS rates of 28.5% and 41.0%, respectively. Furthermore, in the 10-year OS and CSS hazard model for widowed individuals had a significantly higher risk of mortality, with the probability of overall and cancer-specific mortality increased by 1.7-fold and 1.6-fold, respectively. CONCLUSION: Marital status at diagnosis is an independent prognostic factor for MCL patients, with widowed individuals showing worse OS and CSS than those who are married, single, or divorced/separated. Adequate psychological and social support for widowed patients is crucial for improving outcomes in this patient population.

Research Note: New Evidence on the Motherhood Wage Penalty.

U.S. women's age at first birth has increased substantially. Yet, little research has considered how this changing behavior may have affected the motherhood pay penalty, or the wage decrease with a child's arrival, experienced by the current generation. Using Rounds 1-19 of the National Longitudinal Survey of Youth 1997 (NLSY97), in this research note we examine shifts in hourly pay with childbirth for a cohort of women who became mothers mostly in the 2000s and 2010s. Results from fixed-effects models indicate that the motherhood pay penalty for NLSY97 women who had their first child before their late 20s is generally similar to that of previous cohorts. Those who became mothers near or after age 30, however, encounter a parenthood premium, as men do. The growing proportion of women delaying motherhood, coupled with the rising heterogeneity in motherhood wage outcomes by childbearing timing, contributes to a comparatively small motherhood penalty for this recent cohort. The pay advantage of "late mothers" cannot be explained by factors such as their labor market locations, number of children, stage of childrearing, marital status, or ethnoracial composition. Instead, the hourly gain stems from such mothers' tendency to reduce working hours more than other mothers without experiencing a commensurate decrease in total pay. Unlike the fatherhood premium, the premium for late mothers does not lead to a real boost in income.

Diminished psychedelic returns on distress: Marital status and household size.

Although the use of psychedelics to impact health has seen growth, little research has tested the effects of culture conditions on the relationship. More specifically, how does marital status and family size affect the relationship between psychedelics and health? This study tests the relationship between Lifetime Classic Psychedelic Use (LCPU), marital status, and household size (number of people living in a household) on levels of psychological distress in the past 30 days. This project uses pooled data from the National Survey of Drug Use and Health (NSDUH) (2010 to 2018) (N = 674,521). The Final sample size is determined by the dependent variable, psychological distress in the past month (n = 158,633). The analysis includes a series of nested logistic regression models conducted in Stata 17. Results indicate that LCPU is independently associated with better health, but the association between LCPU and health varies across levels of household size. Larger households are associated with higher levels of distress, which are then exacerbated among psychedelics users. Furthermore, three-way interactions reveal that the negative association between household size and distress gets larger among psychedelic users who are married, divorced, and widowed. Overall, results suggest that household size negatively impacts the association between LCPU and health, with those who are married, divorced, and widowed experiencing the worst outcomes.

Unmarried status effect on stage at presentation and treatment patterns in primary urethral carcinoma patients.

BACKGROUND: Unmarried status has been associated with advanced stage at presentation and lower treatment dose intensification rates in several urological and non-urological malignancies. However, no previous investigators focused of the association of unmarried status with locally advanced stage (T3-4N0-2) at presentation and lower bi-/trimodal therapy rates in primary urethral carcinoma (PUC) patients. To address these knowledge gaps, we relied on the Surveillance, Epidemiology, and End Results (SEER) database. METHODS: Within the SEER database 2000 to 2020, all non-metastatic PUC patients were identified. Logistic regression models (LRMs) tested for differences in stage at presentation and treatment modality in the overall cohort and then in a sex-specific fashion, according to marital status (married vs unmarried). RESULTS: Of all 1,430 non-metastatic PUC patients, 1,004 (70%) were male vs 426 (30%) were female. Of 1,004 male PUC patients, 272 (27%) were unmarried. Of all 426 female PUC patients, 239 (56%) were unmarried. In multivariable LRMs predicting T3-4N0-2, unmarried status was independently associated with an increased risk of locally advanced stage at presentation in the overall cohort (odds ratio [OR]:1.31; P = 0.03) and in female patients (OR:1.62; P = 0.02), but not in male PUC patients (P = 0.6). In multivariable LRMs predicting bi-/trimodal therapy, unmarried status was an independent predictor of lower bi-/trimodal therapy rates in the overall cohort (OR:0.73; P = 0.02) and in male patients (OR:0.60; P = 0.007), but not in female PUC patients (P = 0.6). CONCLUSIONS: Unmarried female PUC patients more likely harbored locally advanced stage at presentation. Conversely, unmarried male PUC patients are less likely to benefit from bi-/trimodal therapy.

A Retrospective Analysis of Early 20th Century Asylum Records of Patients with Dementia Praecox.

Mental illness definitions and classifications are to a certain extent intrinsically tied to social factors. To empirically examine the impact of sociodemographic factors on patients institutionalized with dementia praecox in the early 20th century, we examined records from Dorothea Dix Hospital (DDH), an asylum in Southeastern United States. Data was extracted from digitally archived handwritten admission ledgers and general casebooks. Of those institutionalized at DDH between 1896-1917, 190 patients were diagnosed with dementia praecox. Clinical characteristics of patients are described using descriptive text analysis. We used regression models to examine the influence of sociodemographic factors on length of stay and release condition from the asylum. Race was not recorded for any patient and presumed White since DDH was not racially integrated until 1960s. Women had a significantly increased odds (OR = 3.8, p = 0.016) of dying in the facility than getting discharged; being single significantly increased the odds of dying in the facility (OR = 6.8, p = 0.002). Marital status predicted length of stay-being single increased the length of stay (b = 5.97, t (159) = 2.43, p = 0.016) adjusting for the effects of gender, age, and education. We report the impact of gender and marital status on patient release condition and length of stay in an asylum in the early 20th century. Results from the historical data we empirically examined are relevant today as women continue to experience disparities in mental health care. Family support was crucial to better outcomes then, as it is today.

Immediate and delayed effects of environmental temperature on schizophrenia admissions in Liuzhou, China, 2013-2020: a time series analysis.

This study aimed to investigate the associations between environmental temperature and schizophrenia admissions in Liuzhou, China. A Poisson generalized linear model combined with a distributed lag nonlinear model was used to analyze the effects of daily mean temperature on schizophrenia admissions from 2013 to 2020 in Liuzhou. Additionally, subgroup analyses were conducted to investigate possible modifications stratified by gender, marital status, and age. In this study, 10,420 schizophrenia admissions were included. The relative risks of schizophrenia admissions increased as the temperature rose, and the lag effects of high temperature on schizophrenia admissions were observed when the daily mean temperature reached 21.65°C. The largest single effect was observed at lag0, while the largest cumulative effect was observed at lag6. The single effects of high temperatures on schizophrenia admissions were statistically significant in both males and females, but the cumulative effects were statistically significant only in males, with the greatest effect at lag0-7. The single effect of high temperatures on admissions for unmarried schizophrenics was greatest at lag5, while the maximum cumulative effect for unmarried schizophrenia was observed at lag0-7. The single effects of high temperatures on schizophrenia admissions were observed in those aged 0-20, 21-40, and 41-60. The cumulative effects for schizophrenics aged 21-40 were observed from lag0-3 to lag0-7, with the maximum effect at lag0-7. In conclusion, the risk of schizophrenia admissions increased as the environmental temperature increased. The schizophrenics who were unmarried appeared to be more vulnerable to the single and cumulative effects of high temperature.

Exploration of subgroups and predictors of loneliness among older adults in rural China: A latent profile analysis.

BACKGROUND: Loneliness is a negative emotional state that can lead to physical and mental health problems. This study's objective was to acquire an in-depth understanding of the heterogeneity and the predictors of loneliness among older adults in rural China and provide valuable references for practical interventions. METHODS: Older rural adults in China (N = 680) were recruited between January and April 2023. Latent profile analysis (LPA) was employed to identify subgroups of loneliness among participants. Single-factor and multinomial logistic regression analyses were conducted to investigate predictors of loneliness. RESULTS: The loneliness of rural older adults could be divided into three subgroups: low interaction loneliness group (55.0%), moderate emotional loneliness group (31.8%), and high loneliness group (13.2%). The subgroup predictors included age, gender, religious beliefs, marital status, living alone, number of chronic diseases, and smartphone use (P < 0.05). CONCLUSION: This study identified a classification pattern for loneliness among older adults in rural areas of China, revealed the characteristics of different demographic variables in loneliness categories, and highlighted the heterogeneity of loneliness in this population. It serves as a theoretical reference for formulating intervention plans aimed at addressing various loneliness categories for local rural older adults. CLINICAL TRIAL REGISTRATION: ChiCTR2300071591.

Post-Stroke Depression and Suicidal Ideations: Relationship with Gender and Marital Status: A Cross Sectional Study.

OBJECTIVES: To determine the prevalence and contributing factors of depression and suicidal ideations among stroke survivors in Nigeria. METHODS: This was a cross-sectional study comprising 75 consenting stroke survivors who were purposively recruited from 2 tertiary hospitals. Suicidal ideations and depression were measured using standard questionnaires. Obtained data was analyzed with appropriate statistical tools. RESULTS: 9.3% of the participants had depression while 4% reported suicidal ideations. Significant correlation existed between suicidal ideations and depression (ρ = .31, P = .01), and levels of depression and suicidal ideations (χ2 = 85.76; P < .01). Depression had a significant relationship with gender and marital status, while suicidal ideations had a significant relationship with marital status. Females were significantly more depressed than their male counterparts (U = 512.50, P = .04) and also had a higher score on suicidal ideations. The widowed/divorced recorded the highest scores on depression (χ2 = 8.77, P = .01) and suicidal ideations (χ2 = 6.62; P = .04). CONCLUSION: A worrisome prevalence of depression was reported among the study participants. The level of suicidal ideations was quite low. Depression and suicidal ideations were higher among females and those who lost their life partners (either by divorce or death).

Socioeconomic inequality in adults undertaking HIV testing over time in Ethiopia based on data from demographic and health surveys.

INTRODUCTION: HIV testing is the entry point to HIV prevention, care and treatment and needs continuous evaluation to understand whether all social groups have accessed services equally. Addressing disparities in HIV testing between social groups results in effective and efficient response against HIV prevention. Despite these benefits, there was no previous study on inequality and determinants over time in Ethiopia. Thus, the objective of this research was to examine socioeconomic inequality in individuals undertaking HIV testing over time, allowing for the identification of persistent and emerging determinants. METHODS: Data sources for the current study were the 2011 and 2016 Ethiopian Demographic Health Surveys. The 2016 population health survey is the one that Ethiopia used to set national AIDS response strategies; there was no other recent survey with HIV/AIDS-related indicators in Ethiopia. The final sample size for the current study was 28,478 for the year 2011 and 25,542 for the year 2016. The concentration curve and Erreygers' concentration index were used to estimate socioeconomic inequality in HIV testing. Subsequently, decomposition analysis was performed to identify persistent and emerging contributors of socioeconomic inequality. Generalized linear regression model with the logit link function was employed to estimate the marginal effect, elasticity, Erreygers' concentration index (ECI), and absolute and percentage contributions of each covariate. RESULTS: The concentration curve was below the line of equality over time, revealing the pro-rich inequality in HIV testing. The inequality was observed in both 2011 (ECI = 0.200) and 2016 (ECI = 0.213). A household wealth rank had the highest percentage contribution (49.2%) for inequality in HIV testing in 2011, which increased to 61.1% in 2016. Additional markers include listening to the radio (13.4% in 2011 and 12.1% in 2016), education status (8.1% in 2011 and 6.8% in 2016), and resident (-2.0% in 2011 and 6.3% in 2016). Persistent determinants of individuals undertaking HIV testing were age 20-34 years, geographic region, education status, marital status, religion, income, media exposure (listening to the radio, reading newspaper, watching television), knowledge about HIV/AIDS, and attitudes towards people living with HIV. Age between 35 and 44 years and urban residence emerged as new associated factors in 2016. CONCLUSIONS: The higher HIV testing coverage was among individuals with higher socioeconomic status in Ethiopia. Socioeconomic inequality amongst individuals undertaking HIV testing was diverging over time. Household wealth rank, mass media exposure, education status, and resident took the largest share in explaining the disparity in individuals undertaking HIV testing between the lower and higher income groups. Therefore, interventions to equalise HIV testing coverage should take account of these determinants.

Happiness and air quality: microdata analysis in Indonesia.

BACKGROUND: While economics is growing in Indonesia, its Happiness Index remains steady. Regarding the average concentration of dissolved particles, Indonesia is ranked sixth globally. Many factors can affect happiness. Environmental conditions, especially air quality, are considered to influence individual happiness. Therefore, this research investigates the impact of air quality and health on happiness. METHODS: Data used in this study is the microdata of Indonesia's Happiness Survey (SPTK) in 2021. With more than 70,000 respondents, the study uses Ordered Probit as an analysis method with subjective happiness as the dependent variable. The independent variables used in this study are air quality, age, gender, housing area per capita, marital status, and health status. All independent variables except age are categorical. The variable of interest, air quality, is coded "1" if the IKU achieves the Strategic Plan's target of 84.2 and "0" otherwise. IKU is a regional air quality index that combines two substances. RESULTS: At a significance level of 5%, there is a positive relationship between subjective happiness and air quality. In other words, if air quality (IKU) meets the Strategic Plan target (≥ 84.2), then a person is more likely to have a higher level of happiness. It can be explained more with the marginal effect. The marginal effect concludes that if the target is achieved, the probability of having a lower level of happiness decreases by up to 2.8%, and a very high level of happiness rises by 5.1%. Regarding health status, the rarer someone gets sick, the happier she/he is. CONCLUSION: The study finds that air pollution could lower happiness, while better health increases happiness. Therefore, it is important to meet the target of IKU and to improve public health. Some good practices can be adopted to achieve this goal.