Association of socio-demographic factors with clinical outcome among hospitalized patients in first and second waves of COVID-19 pandemic: Study from the developing world.

Background: Recent disease resurgence in China indicates that corona virus infectious disease is still a pertinent public health problem. We stand at a juncture where we are still unsure about the initial dilemmas regarding its birth, therapies, and the emerging novel strains. Medical literature has focused on the clinical, laboratory, radiological, and therapeutic aspects of disease management. There is paucity of literature on the association between socio-demographic variables on disease severity and clinical outcome. Materials and Methods: This retrospective observational study analyzing the socio-demographic variables was performed at a dedicated COVID care center in western Maharashtra, India. Electronic records of all individuals who were admitted to this hospital from July 29 2020, to June 14, 2021, and diagnosed COVID-19 positive by reverse transcriptase polymerase chain reaction (RT-PCR) were identified after due institutional ethical clearance. Patients admitted from July 29, 2020, to February 27, 2021, were categorized as patients presenting during the 'first wave of viral pandemic'. Those admitted from March 01, 2021, to June 14, 2021, have been included as patients admitted during 'second wave of viral pandemic'. The following outcome parameters were collected (presenting symptoms, duration of symptoms before the individual presented for diagnostic RT-PCR, total duration of symptoms, severity of disease at onset, duration of hospital stay, the final outcome (discharge/death) and Charlson's comorbidity index). The linear regression model was used to establish association between socio-demographic factors and disease severity at onset (mild/moderate/severe/critical). Results: A total of 37033 patients were screened, and the positivity rate with RT-PCR was 16.99% (n = 6275) during the study period. Out of which 45% (n = 2824) of the patients had mild disease requiring home isolation and the remaining 55% of patients required admission. 1590 patients from the first wave and 910 from the second wave of COVID-19 were hospitalized and included in the study after exclusion. The mean age of patients in first wave was 49 years and that in second wave was 54 years with 77.6% and 70.6% males in two waves, respectively. The burden of critical cases was higher in second wave as computed to first wave (10% vs 8%). The second wave had more outreach in the rural population as compared to second one (17.8% vs 12.2%). The mean duration from the onset of symptoms to hospitalization was 03 and 04 days, respectively, in two waves. Mortality associated in two waves was 11.9% and 24%, respectively (P < 0.05). Higher Charlson's comorbidity index was associated with higher mortality, and the cumulative survival from urban area was more as compared to the rural population (log rank - 9.148, P = 0.0002). Conclusion: The second COVID-19 wave had significantly higher case mortality. It affected elderly patients and those with rural background. The factors associated with higher mortality during COVID-19 pandemic were rural background, higher Charlson's comorbidity index and late presentation to the hospital. Ongoing vaccine campaigns, thus, should focus on rural areas and individuals with comorbidities especially in developing and least developed countries.

Anaemia prevalence and socio-demographic factors among women of reproductive age (WRA): A geospatial analysis of empowered action group (EAG) states in India.

Anaemia remains a major nutritional-related health concern for women under reproductive age (WRA) in developing nations like India as well as the Indian EAG states. According to NFHS round-5, EAG states constitute 57% of WRA having any form of anaemia, higher than many other states of India and other developed and developing nations. This study aimed to assess the frequency of anaemia among the WRA in India's eight EAG states. Also, it attempts to analyse the causes associated with anaemia by the women's background characteristics with spatial correlation with its co-variates across 291 districts of the EAG states. One of the most current Demographic and Health Survey's (DHS) cross-sectional data is the NFHS-5th (2019-21) round taken, conducted by the IIPS under the administration of MoHFW, India. This study only included 315,069 women under reproductive age (WRA). The variables related to anaemia among women's (WRA) background socio-demographic characteristics were assessed using bivariate statistics and multinominal logistic regression analysis to comprehend the spatial correlation between women and their determinant factors. Among the EAG states, the overall prevalence of anaemia was 57%, varying from 42.6% in Uttarakhand to 65.3% in Jharkhand. Multinominal logistic regression analyses reveal that the chances of anaemia are remarkably more prevalent in younger women (15-19 years of age), women living in rural areas, no educated and primary level educated women, women belonging to the middle to poorest wealth quintile, women no longer living together, women of the Christian religion, women who are not exposed to reading newspapers, underweight BMI women, and scheduled tribe women. Mainly, the prevalence is observed in the North-eastern and southeastern states of Bihar, Jharkhand, Odisha, Chhattisgarh, some parts of Madhya Pradesh, Uttar Pradesh, and Rajasthan, which is shown by the hotspot map. According to the findings of this study, numerous factors like family, socioeconomic, educational, awareness, and individual characteristics such as caste and domicile all lead to a risk of anaemia. The WRA suffers from anaemia as a result of their socioeconomic background and awareness, which leads to a lack of nourishment, and they seek nutrient deficiencies. To overcome this anaemia, multiple discipline policies and initiatives need to be taken targeting women's wellness and nutritional status by increasing women's education and socioeconomic status.

Socioeconomic Disparities and the Prevalence of Antimicrobial Resistance.

BACKGROUND: The increased prevalence of antimicrobial resistant (AMR) infections is a significant global health threat, resulting in increased morbidity, mortality, and costs. The drivers of AMR are complex and potentially impacted by socioeconomic factors. We investigated the relationships between geographic and socioeconomic factors and AMR. METHODS: We collected select patient bacterial culture results from 2015 to 2020 from electronic health records (EHR) of two expansive healthcare systems within the Dallas-Fort Worth, TX (DFW) metropolitan area. Among individuals with EHR records who resided in the four most populus counties in DFW, culture data were aggregated. Case counts for each organism studied were standardized per 1,000 persons per area population. Using residential addresses, the cultures were geocoded and linked to socioeconomic index values. Spatial autocorrelation tests identified geographic clusters of high and low AMR organism prevalence and correlations with established socioeconomic indices. RESULTS: We found significant clusters of AMR organisms in areas with high levels of deprivation, as measured by the Area Deprivation Index (ADI). We found a significant spatial autocorrelation between ADI and the prevalence of AMR organisms, particularly for AmpC and MRSA with 14% and 13%, respectively, of the variability in prevalence rates being attributable to their relationship with the ADI values of the neighboring locations. CONCLUSIONS: We found that areas with a high ADI are more likely to have higher rates of AMR organisms. Interventions that improve socioeconomic factors such as poverty, unemployment, decreased access to healthcare, crowding, and sanitation in these areas of high prevalence may reduce the spread of AMR.

Sociodemographic determinants of vaccination and willingness to pay for COVID-19 vaccines in Hungary, results of a cross-sectional online questionnaire.

BACKGROUND: Several different coronavirus disease (COVID-19) vaccines were authorized and distributed all over the world, including Hungary, but vaccination rates and acceptance of the different vaccines varied through 2021 and subsequent years. In Hungary Western vaccines and the Chinese and Russian vaccines were available in early 2021. Understanding preference and willingness to pay (WTP) for the COVID-19 vaccine could provide information for policy decision making to control the COVID-19 pandemic. We aimed to assess the socio-demographic factors influencing the COVID-19 vaccination and to analyse individual preferences for the available COVID-19 vaccines in Hungary. METHODS: A cross-sectional online questionnaire survey was conducted between 25-05-2021 and 08-06-2021 exploring the vaccine acceptance and WTP for vaccination in the Hungarian general population. To assess the preferences towards the different vaccines available in Hungary at the time of the study, we used a multi-step WTP task. RESULTS: Altogether 2,000 respondents filled out our survey, with the average age of 49.1 (SD = 15.3), out of whom 370 respondents (18.5%) stated that they already had a COVID-19 infection. Age above 65 years, male gender, higher level of education, higher income and residence in the capital or county seats were associated with a higher probability of vaccination. The average WTP ranged from 14.2 to 30.3 EUR for the different vaccine types. CONCLUSIONS: Males, respondents with higher education and income stated a higher WTP value for all vaccines. Better socioeconomic status increased both vaccination coverage and willingness to pay for vaccines.

Exploring tea and herbal infusions consumption patterns and behaviours: The case of Portuguese consumers.

Consumption of tea and herbal infusions (THIs) have a long history in traditional medicine and cultural practices. The health-promoting benefits attributed to THIs are considered influential factors in consumer choices. However, there is limited data on consumer choices and attitudes that might interfere with the positive effects associated with THIs consumption. The aim of this study was to investigate the consumption pattern and behavior of THIs consumers in Portugal, assessing the influence of socio-demographic factors on the selection of THIs products and consumer practices related to these beverages. An online survey was conducted, and from the collected data, 720 responses met the aim of the study and were further analyzed. Most of the respondents were female, 74.4%, belonging to the 40-60 age group (40.6%) and were medium consumers of THIs (47.2%). Green tea was the most consumed type among participants, and its consumption was associated not only with age but also with the pattern of THIs consumption. Despite that, participants preferred herbal infusions, with citronella, chamomile, and lemon verbena being the most consumed types. For certain types of herbal infusions, consumption was associated with age, while other types were preferred by moderate or heavy consumers. Most participants purchased THIs in supermarkets, registered trademark and brand stores, in the form of THIs bag. Light consumers use only bag, while medium/heavy consumers indicated the use of other forms. Almost half of the respondents admitted to not reading the information on product labels before consumption and using THIs after the expiry date, while only one-third of them declared paying attention to the label instructions. This study revealed the impact of socio-demographic factors as age on the consumption patterns and preferences of THIs of consumers. Of concern is the neglect of label usage among Portuguese consumers. This emphasizes the urgency of implementing interventions to guide proper label use and promote good consumption practices to ensure the quality of THIs products.

Assessment of socio demographic factors on termination of pregnancy in Ghana.

AIM: Assessing the socio-demographic factors on termination of pregnancy in Ghana. DESIGN: Cross-sectional study, using data source from the Demographic Health Survey (DHS). METHODS: Data pooled from the most recent DHS conducted in Ghana, with variables of interest with rural and urban population coverage. A systematic search of the literature was performed using PubMed, Google Scholar and Elsevier PubMed for the secondary data. Descriptive and logistic regression analysis was performed using Python Pandas' software to estimate the independent effects of the socio-demographic factors on termination of pregnancy in Ghana. RESULTS: Reported using odds and adjusted OR AOR at 95% confidence level and statistical significance at a p-value of (p > 0.05). Age, place of residence, occupation, currently pregnant, woman's individual sample weight, completeness of current pregnancy, living children + current pregnancy, ethnicity and number of living children significantly predicted the outcome variable. PATIENT OR PUBLIC CONTRIBUTION: Nurses have an important role to play in providing support, education and counselling to people, and must be equipped with the knowledge and skills (including non-judgmental and compassionate care) necessary to provide care that is sensitive to the diverse needs of people from different socio-demographic backgrounds.

Determinants of malaria prevention and control at household level in Assam: An analysis of data using composite index.

Background: Malaria prevention and control is a major public health problem of tropical countries including India. Usage of insecticide-treated bed nets, and early treatment especially in high-risk areas are the crucial factors for the malaria prevention at household levels. This study aimed to determine the crucial factors associated with malaria prevention at households' level such as household's characteristics, education, knowledge and awareness, insecticide treated bed nets usage, early treatment etc. Methods: Data of 1989 households was used from the cross-sectional survey of malaria-endemic areas of Assam. Principal component analysis and multinomial logistic regression model were used to compute the composite scores of malaria awareness and prevention practices, and to estimate the associated factors with malaria prevention practices, respectively. Results: The average age of household respondents were 41.1 ± 12.0 years and among them 71% were males. Almost 47% respondents were illiterate, and 38.6% of the respondents were farmers and 35% were employed. Multinomial logistic regression analysis indicates that malaria prevention practices are associated with age, education, religion, type of house and occupation of household heads and their level of malaria awareness among them. The prevention practices were significantly five times associated [Adjusted Rates Ratio (ARR): 5.0, 95% CI: 2.7-9.4] with the high level of malaria awareness compared with the low level of awareness. Overall, the level of prevention awareness, education, occupation, and house type related to the standard of living was significantly associated with the malaria prevention practices. Conclusion: Malaria awareness and education are the key factors of malaria prevention practices that need to be accelerated for effective control of malaria. Malaria education and increasing awareness of people have a high impact on malaria prevention practices and their control.

Unraveling Factors Shaping the Acceptance and Non-acceptance of Non-scalpel Vasectomy in Rural Central India: A Cross-Sectional Study.

Background India, with a population exceeding 1.43 billion, faces significant demographic challenges, necessitating effective family planning measures. Non-scalpel vasectomy (NSV) is a less complex and cost-effective male contraceptive, yet its acceptance remains low, especially compared to female sterilization. Understanding the determinants of NSV acceptance is crucial for informed decisions on family planning methods. Methods This cross-sectional study investigated NSV acceptance among males who underwent non-scalpel vasectomy (acceptors of NSV) and spouses of women who underwent tubectomy (non-acceptors of NSV). The study was conducted among 116 NSV acceptors and 116 non-acceptors from rural Central India. Data were collected over six months, employing a pre-designed questionnaire covering socio-demographic details, reasons for acceptance/non-acceptance, and information sources for the same. Statistical analysis was done utilizing Epi Info 7.2.6 (Centers for Disease Control and Prevention [CDC], Atlanta, GA), employing descriptive statistics and tests of association. Results Significant associations were found between NSV acceptance (p<0.05) and the age and education of study subjects, age of wife, duration since marriage, and total number of children. Incentives also played a significant role (p=0.014). Opposition to NSV, mainly from wives, was a key factor for non-acceptance (38%). Reasons for acceptance included a previous cesarean section (40.52%), the simplicity of the NSV procedure (26.72%), and the wife's illness (23.28%). Non-acceptance reasons comprised family/friend opposition (38%), lack of awareness/ignorance (25.00%), and fear of surgery (23.28%). Study subjects perceived community reluctance to NSV as mainly due to misbeliefs (30.17%), fear of surgery (27.58%), and illiteracy (26.29%). Conclusion The study highlights socio-demographic factors influencing NSV acceptance and identifies key reasons for acceptance/non-acceptance. Community-based interventions, increased advertisement, and health provider counseling were suggested for enhancing acceptance. Despite challenges, participant satisfaction with NSV was high. These findings contribute to understanding the complex dynamics surrounding NSV acceptance in rural Central India, informing future family planning strategies.

Time living with food insecurity and socio-demographic factors: longitudinal analysis in a city in the semi-arid region of Northeast Brazil.

OBJECTIVE: Food insecurity (FI) is the lack of daily access for everyone to quality food in sufficient quantity. In many populations, it presents as a chronic and persistent condition. This study analysed the association between the length of time living with FI and socio-demographic conditions in households in a semi-arid municipality in the Brazilian Northeast between 2011 and 2019. DESIGN: This is a population-based cohort study among families in the municipality in Northeast Brazil (2011, 2014 and 2019). FI was estimated through the Escala Brasileira de Insegurança Alimentar (EBIA, Brazilian Household Food Insecurity Measurement Scale), and the longitudinal category of time of living with FI was adopted to classify them according to the time they remained in FI during the cohort. The association with the socio-demographic profiles of the population was verified through multinomial logistic regression. SETTING: Households in semi-arid, Northeast of Brazil. PARTICIPANTS: Household respondents interviewed in 2011, 2014 and 2019 (n 274). RESULTS: Sixty-seven percentage (67 %) of families lived in FI in this period. Rural residence, low monthly per capita income and low schooling of the household reference person increased the chances of these families living longer in FI. These overlapping conditions increased the odds of FI in the household. CONCLUSIONS: Coping with FI requires intersectoral intervention that improves the socio-demographic conditions of the population.

Biosecurity, health and disease management practices among the dairy farms in five districts of Bangladesh.

Herd health management is a planned program to optimize health, welfare, and production of dairy cows. A cross-sectional study focused on herd health management of dairy farms, was carried out to assess the biosecurity, health, and disease management practices with associated socio-demographic factors. A structured questionnaire with closed- and open-ended questions was employed for farmers' interviews to acquire information on dairy farms. Data were collected from randomly selected 205 dairy farms in five districts (Dhaka-Savar, Mymensingh, Gazipur, Rangpur, and Sirajganj) of Bangladesh. Overall, 1.5% farms had "good", 17% had "moderate" and 81.5% had "poor" levels of biosecurity, health and disease management practices (BHDMP). Analysis of variance revealed that mean BHDMP scores were significantly (p < 0.05) higher in farms of Rangpur (27.6 ± 0.8) and Gazipur (26.7 ± 0.6) than those of the other three districts. Educational status had a significant effect on BHDMP scores. The farms owned by graduated farmers had the highest mean BHDMP score (30.4 ± 1.1) while the farms operated by illiterate farmers had the lowest BHDMP score (20.4 ± 0.4). Multiple linear regression analysis also revealed that educational status (secondary to post-graduation), training experience, area of study (Rangpur district), and herd size were significantly associated with BHDMP score of the farms. The findings lay a basis for improving dairy farms' biosecurity, health and disease management practices, which further envisage the adoption and implementation of herd health management programs.

The sex difference in self-rated health among older Turkish and Moroccan migrants in the Netherlands: an exploratory study of contributing determinants.

BACKGROUND: Although being a woman and having a migration background are strong predictors of poor self-rated health among (older) adults, research on the sex difference in self-rated health among (older) migrants remains limited. This study therefore aims to investigate this topic and explore the contributing role of determinants of self-rated health. METHODS: Cross-sectional data from 360 Turkish-Dutch and Moroccan-Dutch adults aged 55-65 as part of the Longitudinal Aging Study Amsterdam (LASA) were used. Self-rated health (good versus poor) was measured by a single item question. Univariate age-adjusted logistic regression analysis was used to investigate the sex difference in self-rated health and the contribution of sex differences in sensitivity (strength of the association) and/or exposure (prevalence) to socio-demographic, social, lifestyle or health-related determinants of self-rated health. RESULTS: Women had a 0.53 times lower odds (95%CI:0.40-0.82, p = 0.004) on good self-rated health compared to men. Women more often having a lower education level, living alone and having a higher prevalence of depressive symptoms, chronic diseases and especially functional limitations contributed to the lower self-rated health among women. In contrast, men were more sensitive to the impact of memory complaints, depressive symptoms, visual difficulties and functional limitations. CONCLUSIONS: Older Turkish-Dutch and Moroccan-Dutch women have a significant lower self-rated health compared to men. Women having a higher exposure to both socio-demographic and health-related determinants of self-rated health, which contributed to the sex difference. Future research should take these differences in self-rated health and determinants between women and men into account when investigating health among older migrants.

Evaluation of the reasons for the non­COVID­19 status: A socio­demographic analysis.

The present study aimed to evaluate the reasons behind the fact that some individuals did not contract coronavirus disease 2019 (COVID-19), considering certain socio-demographic data. The present cross-sectional study was conducted at a state hospital between February 1, 2022 and March 1, 2022. The study group consisted of individuals who never had COVID-19, and the control group consisted of individuals who did not know at the time of the study whether they had COVID-19. A data collection form consisting of 29 questions created based on a literature review was used. A total of 2,958 subjects (study group, 669; control group, 2,289) were included; of these, 53.1% were females and 46.9% were males. It was found that housewives (P<0.001), individuals with secondary school and lower education levels (P=0.02), those residing in rural areas (P=0.003), those who received a combination vaccine (P<0.001), those with chronic diseases (P=0.016), those who consumed more fruits (P=0.001), those who used N95 masks (P=0.002), those with pets (P<0.001) and those who did not follow the news regarding COVID-19 (P=0.016) had a higher probability of not contracting COVID-19. On the whole, the present study observed that socio-demographic factors affected the non-COVID-19 status.

Diet quality and its associated factors among adults with overweight and obesity: findings from the 2015-2018 National Health and Nutrition Examination Survey.

The rate of adult severe obesity has been continually rising in the USA. While improving diet quality has been shown to reduce the risk of obesity, few studies have explored the differences in diet quality among adults with overweight and obesity by different weight statuses along with socio-demographic factors and physical activity using data from a nationally representative survey in the USA. The main goal of the study is to assess the diet quality of adults with overweight and obesity by examining differences in the Healthy Eating Index-2015 (HEI-2015) scores, using data from the 2015-2018 National Health and Nutrition Survey. Among 6746 adults with overweight and obesity (aged ≥ 20 years), severe obesity was prevalent (27 %), particularly among females, non-Hispanic Blacks and those with lower education and income. Compared to adults with overweight, adults with severe obesity had lower HEI-2015 total scores as well as component scores for total fruits, whole fruits, greens and beans, refined grains, sodium and saturated fats. Among adults with overweight and obesity, non-Hispanic Blacks had lower diet quality than non-Hispanic Asians; females had better diet quality than males; older adults had better diet quality than younger adults; adults with a college degree and above had better diet quality than those with less than a high school degree. Socio-demographic differences in diet quality and weight status should be considered in future obesity interventions to reduce adult severe obesity in the USA.

Spatial variability in socio-demographic factors affecting participation in the Australian national bowel cancer screening program.

Objectives: The objective of this paper is to analyse the socio-demographic and spatial patterns associated with bowel cancer screening in Australia. Despite the importance of screening in reducing mortality via early intervention, it remains the case that overall screening rates are uneven between different socio-demographic groups and geographic regions. Notwithstanding this, there is limited knowledge in Australia regarding the interplay between socio-demographics and geography in relation to bowel cancer screening. Thus, this paper explores the socio-demographic and spatial patterns of screening participation across Australian regions to better inform public health policy and programs. Study design: This is a nationwide ecological study based on aggregate spatial data. Methods: An ecological study is conducted using bowel cancer screening rates and selected socio-demographic data measured at the Statistical Area 3 level. Geographically weighted regression software is used to conduct global and spatial regression analysis. Results: The global regression results show that higher rates of screening participation were associated with employment/education disengagement and volunteering while in contrast, lower rates of participation were associated with higher rates of indigenous populations, people with chronic health conditions, and people with poor English skills. Considering the spatial analysis, the analysis shows that once the spatial non-stationarity in the data is considered the influence of the variables shown to be significant in the global model, has significant spatial variability. Conclusion: From a public health perspective, addressing shortfalls in bowel cancer screening participation is an important priority. In order to understand differences in participation rates it is important to consider both socio-demographic factors as well as the geographic or spatial distribution of these factors.

Do Electronic Health Literacy and Online Health Information-Seeking Behavior Mediate the Effects of Socio-Demographic Factors on COVID-19- and Non-communicable Disease-Related Behaviors Among Myanmar Migrants in Southern Thailand?

Introduction Myanmar migrants in Thailand are vulnerable to COVID-19 and non-communicable disease (NCD) risk behaviors, influenced by socio-demographic factors. In the digital age, migrants can seek extensive health information online, and their ability to understand and use electronic health information, which is known as electronic health literacy (e-Health literacy), becomes critical in making decisions about their health behaviors. This study aims to investigate the potential mediating roles of online health information-seeking and e-Health literacy in the associations between socio-demographic factors and COVID-19- and NCD-related behaviors. Methods Our study was conducted in 2022, involving 1,050 Myanmar migrants in two southern Thai cities. Data on socio-demographic factors, e-Health literacy, online health information seeking, COVID-19-related behaviors (adherence to COVID-19 protective behavior (CPB), vaccination), and NCD risk behaviors (smoking, betel chewing, alcohol consumption, substance abuse) were collected. Structural equation modeling (SEM) was employed to analyze the hypothesized relationships. Results Nearly all migrants received the COVID-19 vaccination in two doses and above, with reasonable good adherence to CPB. Migrants exhibited risky NCD-related behaviors, including current smoking (26.8%), alcohol consumption (17.5%), and betel chewing (25.8%). Approximately three-quarters (73.4%) had a limited e-Health literacy level, and the vast majority did not search for online health information. Their COVID-19- and NCD-related behaviors were directly influenced by socio-demographic factors without the significant mediation roles of e-Health literacy and online health information seeking. Conclusions Myanmar migrant workers in Southern Thailand had reasonably good practices in COVID-19-related behaviors despite engaging in risky NCD-related behaviors. These outcome behaviors were directly influenced by their socio-demographic factors, without the significant mediation roles of e-Health literacy and online health information seeking. The findings suggest that diverse interventions beyond e-Health strategies for future pandemic mitigation and enhancement of their health behaviors are needed.

Efecto de factores sociodemográficos en la mortalidad del COVID-19 en Costa Rica: un enfoque geográfico

Introducción: La enfermedad por coronavirus (COVID-19) se ha extendido entre la población de todo el país y ha tenido un gran impacto a nivel mundial. Sin embargo, existen diferencias geográficas importantes en la mortalidad de COVID-19 entre las diferentes regiones del mundo y en Costa Rica. Objetivo: Explorar el efecto de algunos de los factores sociodemográficos en la mortalidad de COVID-19 en pequeñas divisiones geográficas o cantones de Costa Rica. Métodos: Usamos registros oficiales y aplicamos un modelo de regresión clásica de Poisson y un modelo de regresión ponderada geográficamente. Resultados: Obtuvimos un criterio de información de Akaike (AIC) más bajo con la regresión ponderada (927.1 en la regresión de Poison versus 358.4 en la regresión ponderada). Los cantones con un mayor riesgo de mortalidad por COVID-19 tuvo una población más densa; bienestar material más alto; menor proporción de cobertura de salud y están ubicadas en el área del Pacífico de Costa Rica. Conclusiones: Una estrategia de intervención de COVID-19 específica debería concentrarse en áreas de la costa pacífica con poblaciones más densas, mayor bienestar material y menor población por unidad de salud.

Introduction: The coronavirus disease (COVID-19) has spread among the population of Costa Rica and has had a great global impact. However, there are important geographic differences in mortality from COVID-19 among world regions and within Costa Rica. Objective: To explore the effect of some sociodemographic factors on COVID-19 mortality in the small geographic divisions or cantons of Costa Rica. Methods: We used official records and applied a classical epidemiological Poisson regression model and a geographically weighted regression model. Results: We obtained a lower Akaike Information Criterion with the weighted regression (927.1 in Poisson regression versus 358.4 in weighted regression). The cantons with higher risk of mortality from COVID-19 had a denser population; higher material well-being; less population by health service units and are located near the Pacific coast. Conclusions: A specific COVID-19 intervention strategy should concentrate on Pacific coast areas with denser population, higher material well-being and less population by health service units.

Comparison of Malnutrition Indicators and Associated Socio-Demographic Factors among Children in Rural and Urban Public Primary Schools in South Africa.

Most children in South Africa attending public schools are predisposed to malnutrition due to poor infrastructure and social inequality. This is despite the implementation of the National School Nutrition Programme to address barriers to learning associated with hunger and malnutrition and the National Development Plan to reduce child malnutrition through provision of social grants. In view of this, we compared malnutrition indicators and associated socio-demographic factors among children in rural Mpumalanga and urban Gauteng in South African public primary schools selected using a multistage cluster random sampling. A validated researcher-administered questionnaire was used to collect socio-demographic data of caregivers, along with primary school children data collected on age, sex, learning grade, and anthropometric measures. Malnutrition indicators, which are stunting (low height-for-age z-scores), underweight (low weight-for-age z-scores), thinness (low body-mass-index-for-age z-scores), and overweight/obesity (high body mass index) were computed using WHO Anthro Plus 1.0.4 and data were analyzed using Stata 18. A total of 903 children (rural = 390 and urban = 513) with a mean age of 10 ± 2 years in the foundation phase (learning grades one to three) and the intermediate learning phase (learning grades four to seven) participated with their caregivers (mean age: 39 ± 8 years). Significant levels of poor socio-demographic status were observed among caregivers living in the rural setting compared to in the urban setting. Overall, thinness (18%), stunting (12%), underweight (10%), and overweight/obesity (24%) were observed among school children. Children in the rural schools had a significantly higher prevalence of stunting (20% vs. 3%; p < 0.0001), underweight (17% vs. 2%; p < 0.0001) and thinness (28% vs. 7%; p < 0.001) than their urban counterparts. In the urban, the odds of stunting, underweight and thinness were less among school children, while overweight/obesity was twice as likely in the urban setting. The multivariate final model showed lower odds of underweight [adjusted odds ratio (AOR) = 0.16; 95% confidence interval (CI): 0.06-0.42] and stunting [AOR = 0.33; 95% CI: 0.13-0.87] in the urban compared to the rural schools. The association of stunting with sex [AOR =0.53; 95% CI: 0.30-0.94] and the intermediate learning phase [AOR = 7.87; 95% CI: 4.48-13.82] was observed in the rural setting, while thinness was associated with living in households with an income of USD 52.51 to USD 262.60/month [AOR = 2.89; 95% CI: 1.01-8.24] and receiving the child social grant [AOR = 2.49; 0.90-6.86] in the urban setting. Overweight/obesity was associated with living in a household with an income of USD 52.51 to USD 262.60/month [AOR = 1.80; 95% CI: 1.02-3.10]. The findings suggest nutritional intervention approaches that are accustomed to the context of settings to effectively tackle malnutrition.

Health-Related Quality of Life and Influencing Factors in Coronary Heart Disease Based on the Scale QLICD-CHD (V2.0): A Cross-Sectional Study.

Purpose: Coronary heart disease (CHD) is difficult to cure, so more attention should be paid to improving patients' health-related quality of life (HRQoL). This paper focuses on identifying factors that affect HRQoL. Patients and Methods: Overall, 189 in-patients with coronary heart disease were investigated at the Affiliated Hospital of Guangdong Medical University between 2015 and 2016. The scale Quality of Life Instruments for Chronic Diseases-Coronary heart disease (QLICD-CHD V2.0) was used to evaluate HRQoL and collect demographic information. Medical records were applied to collect patients' clinical indicators. A simple correlation analysis, Student's t-test, and a one-way analysis of variance were first performed to filter factors that might associate with HRQoL, and multiple linear regression was applied to finally identify related factors. Results: Findings from multiple linear regression showed that the total score was related to family economy, treatment, indirect bilirubin, and albumin with regression coefficient B=5.209, -6.615, 0.378, and 0.548, respectively. The physical functions were related to treatment, albumin, globular proteins, chloride, and red blood cell count with B=-9.031, 1.000, 0.612, 1.320, and 5.161, respectively. The psychological function was in association with family economy, clinical course, serum phosphorus, and percentage of lymphocyte population with B=7.487, 6.411, -16.458, and 0.090, respectively. The social function was associated with family economy, blood urea nitrogen, serum creatinine, and platelet distribution width with B=7.391, 1.331, -0.060, and -0.929, respectively. The special module was in association with treatment, indirect bilirubin, and serum calcium with B=-7.791, 0.414, and 23.017, respectively. Conclusion: Clinical indicators including albumin, globular proteins, chloride, red blood cell count, serum phosphorus, percentage of lymphocyte population, blood urea nitrogen, serum creatinine, platelet distribution width, indirect bilirubin, and serum calcium, as well as socio-demographic factors including the family economy, clinical course, and treatment, may affect coronary heart disease patients' HRQoL.

Black race and lower age at surgery are associated with smoking relapse in a safety-net setting after surgery for stage I non-small cell lung cancer.

Background: Smoking relapse after surgical resection for lung cancer (LC) remains a health concern. This study aims to determine various factors associated with postoperative smoking relapse in patients undergoing surgical resection for stage I non-small cell lung cancer (NSCLC) at an urban safety net hospital. Methods: We analyzed the demographic and clinical variables of all patients who underwent surgical resection for stage I NSCLC from 2002 to 2016 at our institution. Based on the post-operative smoking history, we segregated the cohort into two groups: relapse and abstinent. Chi-squared and analysis of variance tests were used to identify the variables that registered a significant difference between the two groups. Further, we used univariable and multivariable logistic regression to determine association between variables and smoking relapse. Results: We analyzed data from 168 patients, excluding those with inadequate smoking history and never smokers. In total, 64 (38.1%) patients experienced smoking relapse, and 104 (61.9%) remained abstinent. The age, annual income, and race showed significant differences between the two groups. Multivariable logistic regression reflected that black patients had higher odds of relapse than white patients [odds ratio (OR) =3.26, confidence interval (CI): 1.54-6.89, P=0.002] and the chances of relapse decreased as the age increased (5-year age gap, OR =0.70, CI: 0.58-0.85, P<0.001). Conclusions: Black race and younger age at the time of surgery are associated with smoking relapse after surgery for stage I NSCLC. Targeted smoking cessation programs catered towards these patient groups may help reduce the prevalence of post-operative smoking.

Hypertension Control Status Among Patients Receiving Treatment From Selected Primary Health Centres in Puducherry: A Cohort-Analysis Approach.

BACKGROUND:  High blood pressure (hypertension) is a major risk factor contributing to 60% of premature deaths caused by non-communicable diseases. In India, a mere 15% of the hypertensive population achieves optimal blood pressure control. Effective monitoring of hypertension is crucial for mitigating the morbidity and mortality associated with cardiovascular diseases. OBJECTIVE: This study employed a cohort analysis approach to determine the control status of hypertension and identify factors associated with hypertension among individuals seeking care at selected primary health centres (PHCs) in Puducherry from January 2019 to December 2022. METHODOLOGY: We assessed treatment records of 1127 patients with hypertension registered at PHCs in both urban and rural areas between 2019 and 2022. Information on socio-demographic details and blood pressure readings was collected to assess the control status of hypertension on a quarterly and six-monthly basis. Additionally, 436 patients were interviewed to identify factors associated with uncontrolled hypertension. RESULTS: Control rates of hypertension varied among PHCs on a quarterly and six-monthly basis. The rural PHC achieved the highest quarterly control rate of 80% in Q4 2020, while the urban PHC had the lowest rate of 44% in Q1 2020. Similarly, the highest six-monthly control rate of 78% was observed in Q3 2019 at both rural and urban PHCs, with the lowest rate of 44% in Q1 2020 at the urban PHC.  Conclusion: Analysing data obtained from regular monitoring of hypertension control status allows healthcare providers to identify patterns, trends, and correlations. It assists providers in making informed decisions regarding treatment adjustments, medication choices, lifestyle recommendations, and policy changes. This approach is expected to improve control status for hypertension, leading to the ultimate goal of better health outcomes for patients.