Child Immunization Coverage in Urban Settings of Twelve Provinces Plus Kabul, Afghanistan, 2019.

Background: Low immunization and discrepancies in data sources have been a consistent challenge in Afghanistan. The objective of this was to estimate the coverage of immunization status among children of 12-23 months in urban settings of 12 provinces plus Kabul, Afghanistan in 2019. Methods: A cross-sectional survey was conducted in the capital of 12 cities of polio high-risk provinces plus Kabul during October-December 2019. A two-stage cluster sampling was used to approach 30 clusters and interview seven households. The coverage for 13 vaccines against 10 childhood diseases prioritized by the Afghanistan Immunization program was assessed through observation of vaccine cards or by history from caregivers of children. Epi Info v.7.2.5 was used for data management and analysis. Results: Totally, 3382 caregivers of children aged 12-23 months, of whom 50.8% were boys, were interviewed. The literacy of mothers was 35%, and 86.4% were housewives with no formal employment. The average age of children was 17.07 ± 4.05 months. In total, 1261 (37.29%) children were fully vaccinated, 833 (54.2%) were partially vaccinated, and 288 (8.52%) did not receive any dose of routine vaccine. Of total, 71.82% had vaccination cards, 17.24% had lost them, and 11% had no cards. Generally, coverage of immunization by cards and history was 91.70% for BCG, 52% for Penta, 78% for OPV-4, 63% for PCV2, 61% for Rota2, 68.50% for measles 1, and 58% for IPV. Nangarhar and Kunar provinces have the highest and lowest immunization coverage, respectively. Lack of awareness and time was the main factor cited by partially vaccinated individuals, while misconceptions about vaccines were reported among the unvaccinated. Conclusion: Child immunization levels, varying across cities, were suboptimal in the study population. Realistic goal-setting and awareness campaigns are necessary to address the low immunization coverage and fight against barriers in Afghanistan.

Comparison of Characteristics Influencing Patient Selection of Sunscreen Between Urban and Rural Regions in the United States.

Sunscreen greatly reduces the risk of skin cancer and is recommended as a critical component of sun protection. There is limited literature on patient preferences for sunscreen characteristics. A cross-sectional survey was administered to patients in an urban city and rural area in the United States. Sun Protection Factor (SPF) was consistently the most important factor for patients when selecting sunscreen. However, numerous preferences for sunscreen characteristics vary between the 2 regions, including dermatologist recommendation, texture, ingredients, cost, broad-spectrum, and brand. Gaps in patient knowledge of sunscreen recommendations may be present and further educational programs may be necessary. J Drugs Dermatol. 2024;23(8):e171-e172. doi:10.36849/JDD.8449.

The role of digital financial inclusion in China on urban-rural disparities in healthcare expenditures.

Introduction: The digital financial inclusion (DFI) provides opportunities to improve the relative capacity to pay for healthcare services by rural residents who are usually underserved by traditional finance in China. This paper provides empirical evidence on how the development of DFI affects the healthcare expenditure disparities between urban and rural residents. Methods: We employed the fixed effects model and instrumental variable method to estimate the impact of DFI on the Theil index of urban-rural disparities in healthcare expenditures, using panel data from 31 provinces (2011 ~ 2020) in China. We further adopted a moderating effect model to test whether the intensity of the impact would vary depending on the level of local government health expenditures. Results: The results suggest a negative association between the development level of DFI and the urban-rural healthcare expenditure disparities in China. For every 1% increase in the DFI index, the Theil index of urban-rural disparities in healthcare expenditures would fall by 0.0013. After changing the measurement method for the dependent variable and adjusting the sample, the results remain robust. Moreover, the result of the moderating effect model indicates that, a high level of government health expenditures is conducive to the impact of DFI. Discussion: Our research reveals that DFI plays an important role in bridging the urban-rural gap in healthcare expenditures. This finding provides new information for addressing the issue of urban-rural healthcare inequality in China. Chinese government needs to accelerate the construction of digital infrastructure and increase the penetration rate of digital tools in rural areas to promote the beneficial effects of DFI. Additionally, it is also necessary for local government to address the unbalanced allocation of medical resources between urban and rural areas, especially the shortage of rural human resources.

[Detection of colorectal advanced neoplasms among the cancer screening population in urban areas of Henan Province and analysis on its influencing factors].

Objective: To analyze the detection of colorectal advanced neoplasms in the population who underwent colonoscopy screening in Henan Province as part of the Urban China Cancer Screening Program and its influencing factors. Methods: A cross-sectional study design was employed. Based on the Cancer Screening Program conducted in Henan Province, the study enrolled 7 454 urban residents who manifested no symptoms and were recruited from eight cities in the province, including Zhengzhou, Zhumadian, Anyang, Luoyang, Nanyang, Jiaozuo, Xinxiang, and Puyang from October 2013 to October 2019, and participated in colonoscopy screening. The χ2 test was used to compare the detection rates of colorectal advanced neoplasms among participants with different characteristics, and a multivariate logistic stepwise regression model was used to analyze the factors affecting the detection rates. Results: A total of 7 454 subjects underwent colonoscopy screening, and 112 cases of colorectal advanced neoplasms were detected. Multivariate logistic regression analysis suggested that older age, smoking, higher meat intake, history of diabetes, and family history of colorectal cancer in a first-degree relative were risk factors for colorectal advanced neoplasms. The detection rate was significantly higher in people aged 60-74 years compared with those aged 40-49 years, with an odds ratio (OR) of 2.04 (95% CI: 1.23-3.38).The rates were higher in people who smoked than those who did not smoke, with an OR of 2.21 (95% CI: 1.48-3.31), and in people who consumed more meat than those who consumed less, with an OR of 1.53 (95% CI: 1.04-2.26). Those with diabetes had a higher detection rate compared with those without, with an OR of 1.69 (95% CI: 1.07-2.69), and those with a first-degree family history of colorectal cancer had a higher detection rate than those without, with an OR of 1.64 (95% CI: 1.09-2.46). Conclusion: The detection rate of colorectal advanced neoplasms through colonoscopy screening in Henan Province covered by the Urban China Cancer Screening Program is 1.50%. Older age, smoking, higher meat intake, history of diabetes, and family history of colorectal cancer in a first-degree relative are identified as risk factors for colorectal advanced neoplasms.

Rural-urban disparity in community-based health insurance enrollment in Ethiopia: a multivariate decomposition analysis using Ethiopian Mini Demographic Health Survey 2019.

Background: In sub-Saharan Africa, achieving universal health coverage (UHC) and protecting populations from health-related financial hardship remain challenging goals. Subsequently, community-based health insurance (CBHI) has gained interest in low and middle-income countries, such as Ethiopia. However, the rural-urban disparity in CBHI enrollment has not been properly investigated using multivariate decomposition analysis. Therefore, this study aimed to assess the rural-urban disparity of CBHI enrollment in Ethiopia using the Ethiopian Mini Demographic Health Survey 2019 (EMDHS 2019). Methods: This study used the latest EMDHS 2019 dataset. STATA version 17.0 software was used for analyses. The chi-square test was used to assess the association between CBHI enrollment and the explanatory variables. The rural-urban disparity of CBHI enrollment was assessed using the logit-based multivariate decomposition analysis. A p-value of <0.05 with a 95% confidence interval was used to determine the statistical significance. Results: The study found that there was a significant disparity in CBHI enrollment between urban and rural households (p < 0.001). Approximately 36.98% of CBHI enrollment disparities were attributed to the compositional (endowment) differences of household characteristics between urban and rural households, and 63.02% of the disparities were due to the effect of these characteristics (coefficients). The study identified that the age and education of the household head, family size, number of under-five children, administrative regions, and wealth status were significant contributing factors for the disparities due to compositional differences between urban and rural households. The region was the significant factor that contributed to the rural-urban disparity of CBHI enrollment due to the effect of household characteristics. Conclusion: There were significant urban-rural disparities in CBHI enrollment in Ethiopia. Factors such as age and education of the household head, family size, number of under-five children, region of the household, and wealth status of the household contributed to the disparities attributed to the endowment, and region of the household was the contributing factor for the disparities due to the effect of household characteristics. Therefore, the concerned body should design strategies to enhance equitable CBHI enrollment in urban and rural households.

Caesarean section and associated factors in Nigeria: assessing inequalities between rural and urban areas-insights from the Nigeria Demographic and Health Survey 2018.

INTRODUCTION: When medically indicated, caesarean section (CS) can be a life-saving intervention for mothers and their newborns. This study assesses the prevalence of CS and its associated factors, focussing on inequalities between rural and urban areas in Nigeria. METHODS: We disaggregated the Nigeria Demographic and Health Survey 2018 and performed analyses separately for Nigeria's overall, rural, and urban residences. We summarised data using frequency tabulations and identified factors associated with CS through multivariable logistic regression analysis. RESULTS: CS prevalence was 2.7% in Nigeria (overall), 5.2% in urban and 1.2% in rural areas. The North-West region had the lowest prevalence of 0.7%, 1.5% and 0.4% for the overall, urban and rural areas, respectively. Mothers with higher education demonstrated a greater CS prevalence of 14.0% overall, 15.3% in urban and 9.7% in rural residences. Frequent internet use increased CS prevalence nationally (14.3%) and in urban (15.1%) and rural (10.1%) residences. The southern regions showed higher CS prevalence, with the South-West leading overall (7.0%) and in rural areas (3.3%), and the South-South highest in urban areas (8.5%). Across all residences, rich wealth index, maternal age ≥ 35, lower birth order, and ≥ eight antenatal (ANC) contacts increased the odds of a CS. In rural Nigeria, husbands' education, spouses' joint healthcare decisions, birth size, and unplanned pregnancy increased CS odds. In urban Nigeria, multiple births, Christianity, frequent internet use, and ease of getting permission to visit healthcare facilities were associated with higher likelihood of CS. CONCLUSION: CS utilisation remains low in Nigeria and varies across rural-urban, regional, and socioeconomic divides. Targeted interventions are imperative for uneducated and socioeconomically disadvantaged mothers across all regions, as well as for mothers in urban areas who adhere to Islam, traditional, or 'other' religions. Comprehensive intervention measures should prioritise educational opportunities and resources, especially for rural areas, awareness campaigns on the benefits of medically indicated CS, and engagement with community and religious leaders to promote acceptance using culturally and religiously sensitive approaches. Other practical strategies include promoting optimal ANC contacts, expanding internet access and digital literacy, especially for rural women (e.g., through community Wi-Fi programs), improving healthcare infrastructure and accessibility in regions with low CS prevalence, particularly in the North-West, and implementing socioeconomic empowerment programs, especially for women in rural areas.

Barriers to the uptake of eye care services: A cross-sectional survey from rural and urban communities.

PURPOSE: To explore the barriers to the uptake of eye care services in urban and rural communities in Papua New Guinea. METHODS: This was a population-based cross-sectional descriptive study and involved multi-stage sampling. Communities were randomly selected from each of the three clusters of Madang District for free eye care outreaches from June to September 2022. A structured questionnaire was used to collect data from the outreach patients. The study excluded attendees who refused to consent. Responses were rated from 1 (not a barrier) to 10 (a very strong barrier). The p-value significance was set at ≤ 0.05. RESULTS: The majority of the 972 participants (60.2%) were from rural communities. The mean age of participants was 40.82 ± 13.14 years. Almost two-thirds of the participants (61.4%) never had an eye examination before this study was conducted. All the participants reported that time constraint, insufficient income, good vision in the fellow eye, not considering their eye conditions as serious issues and cultural beliefs were personal barriers to accessing eye care services. Provider-related challenges included long waiting periods at eye clinics and fear of procedure complications. There were differences in barriers with respect to the participants' demographic clusters. CONCLUSION: There are major personal- and service-related barriers to eye care services in Madang. These barriers could be overcome through strategic human resource development, health education, school screening programs, and establishing eye care centres in the communities to improve the uptake of eye care services in Madang and more widely across the country.

Urban-rural disparities in minimum acceptable diet intake among children aged 6-23 months in Ethiopia: A multivariable Decomposition analysis of Ethiopian demographic and health survey 2019.

Introduction: The achievement of the minimum acceptable diet intake (MAD) stands at 14% among urban and 10% among rural under-five children in Ethiopia. Consequently, identifying the determinants of the urban-rural gap is vital for advancing Sustainable Development Goals (SDGs), fostering healthier communities, and developing evidence-driven approaches to enhance health outcomes and address disparities. Objective: The objective of the study was to decompose the urban-rural disparities in minimum acceptable diet intake in Ethiopia using the Ethiopian Mini-Demographic and Health Survey 2019 data. Method: The study was conducted using the Ethiopian Demographic and Health Survey 2019 report. A total of 1,496 weighted children aged 6-23 months were included using stratified sampling techniques. The main outcome variable minimum acceptable diet was calculated as a combined proportion of minimum dietary diversity and minimum meal frequency. A decomposition analysis was used to analyze the factors associated with the urban-rural discrepancy of minimum acceptable diet intake, and the results were presented using tables and figures. Result: The magnitude of minimum acceptable diet among children aged 6-23 months in Ethiopia was 11.0%. There has been a significant disparity in the intake of minimum acceptable diet between urban and rural under-five children with 14 and 10%, respectively. Endowment factors were responsible for 70.2% of the discrepancy, followed by 45.1% with behavioral coefficients. Educational status of college and above was responsible for narrowing the gap between urban and rural residents by 23.9% (ß = 0.1313, 95% CI: 0.0332-0.245). The number of children in the household and the age of the child between 18 and 23 months were responsible for widening the gap in minimum acceptable diet intake discrepancy between urban and rural residents by 30.7% and 3.36%, respectively (ß = -0.002, 95% CI: -0.003 to -0.0011 and ß = -30.7, 95% CI: -0.025 - -0.0085). From the effect coefficients, the effect of institutional delivery was responsible for 1.99% of the widening of the gap between urban and rural residents in minimum acceptable diet intake (ß = -0.0862, 95% CI: -0.1711 - -0.0012). Conclusion: There is a significant variation between urban and rural residents in minimum acceptable diet. The larger portion of the discrepancy was explained by the endowment effect. Educational status of mothers with college and above, parity, age of child, and place of delivery were the significant factors contributing to the discrepancy of minimum acceptable diet intake between urban and rural residents.

Prevalence of Second Hand Smoke Exposure and Measures to Overcome: A Cross Sectional Study among Youth in Urban Hyderabad.

ABSTRACT: In India, the prevalence of secondhand smoke (SHS) exposure is 29.5% in general and 11.2% at home. The youth may expose themselves to SHS without knowing the risk factors and consequences involved. This study is intended to determine the prevalence of SHS exposure and the measures adopted by the youth to avoid exposure. A cross-sectional study was conducted among 338 youth in an urban area in Hyderabad. A modified Global Youth Tobacco Survey questionnaire was used for data collection on SHS exposure and avoidance. The total prevalence of SHS exposure was 35.21%. The mean days of SHS exposure/week were 1.419 (standard deviation -1.806) days. Belonging to the age group 18-21 years, and male gender were significant predictors of SHS exposure. Education of the head of family was a significant predictor of SHS avoidance behavior. Creating awareness among young adults regarding the deleterious effects and preventive strategies of SHS exposure, thereby making them responsible for the health of their family can be a protective long-term strategy.

Population prevalence of aspergillus sensitization and allergic bronchopulmonary aspergillosis in COPD subjects in North India.

BACKGROUND: Sensitization to Aspergillus fumigatus (AS) has been recently described in chronic obstructive pulmonary disease (COPD) patients. However, there is no data on the community prevalence of AS in COPD. OBJECTIVES: To assess the prevalence of AS among COPD subjects. The secondary objectives were to (1) assess the prevalence of allergic bronchopulmonary aspergillosis (ABPA) in COPD and (2) compare the lung function in COPD subjects with and without AS. METHODS: We conducted a cross-sectional study in rural (29 villages) and urban (20 wards) communities in North India. We identified individuals with respiratory symptoms (IRS) through a house-to-house survey using a modified IUATLD questionnaire. We then diagnosed COPD through specialist assessment and spirometry using the GOLD criteria. We assayed A.fumigatus-specific IgE in COPD subjects. In those with A. fumigatus-specific IgE ≥0.35 kUA/L (AS), ABPA was diagnosed with raised serum total IgE and raised A.fumigatus-specific IgG or blood eosinophil count. RESULTS: We found 1315 (8.2%) IRS among 16,071 participants >40 years and diagnosed COPD in 355 (2.2%) subjects. 291 (82.0%) were men and 259 (73.0%) resided in rural areas. The prevalence of AS and ABPA was 17.7% (95% CI, 13.9-21.8) and 6.6% (95% CI, 4.4-8.8). We found a lower percentage predicted FEV1 in COPD subjects with AS than those without (p =.042). CONCLUSIONS: We found an 18% community prevalence of AS in COPD subjects in a specific area in North India. Studies from different geographical areas are required to confirm our findings. The impact of AS and ABPA on COPD requires further research.

Spatial analysis and factors associated with low birth weight in Ghana using data from the 2017 Ghana Maternal Health Survey: spatial and multilevel analysis.

OBJECTIVE: Low birth weight (LBW) is an important indicator of newborn health and can have long-term implications for a child's development. Spatial exploratory analysis provides a toolkit to gain insight into inequalities in LBW. Few studies in Ghana have explored the spatial distribution of LBW to understand the extent of the problem geographically. This study explores individual and cluster-level distributions of LBW using spatial exploration components for common determinants from nationally representative survey data. DESIGN: We used data from the 2017 Ghana Maternal Health Survey and conducted individual-level and cluster-level analyses of LBW with place and zone of residence in both bivariate and multivariate analyses. By incorporating spatial and survey designs methodology, logistic and Poisson regression models were used to model LBW. SETTING: Ghana. PARTICIPANTS: A total of 4127 women aged between 15 and 49 years were included in the individual-level analysis and 864 clusters corresponding to birth weight. PRIMARY AND SECONDARY OUTCOME MEASURES: Individual and cluster-level distribution for LBW using spatial components for common determinants. RESULTS: In the individual-level analysis, place and zone of residence were significantly associated with LBW in the bivariate model but not in a multivariate model. Hotspot analysis indicated the presence of LBW clusters in the middle and northern zones of Ghana. Compared with rural areas, clusters in urban areas had significantly lower LBW (p=0.017). Clusters in the northern zone were significantly associated with higher LBW (p=0.018) compared with the coastal zones. CONCLUSION: Our findings from choropleth hotspot maps suggest LBW clusters in Ghana's northern and middle zones. Disparities between the rural and urban continuum require specific attention to bridge the healthcare system gap for Ghana's northern and middle zones.

Natural health product knowledge as a significant factor associated with health-promoting lifestyle in a low-income urban community in Kuala Lumpur.

BACKGROUND: Low income communities are vulnerable to non-communicable diseases (NCDs), which affect their economy and disability status. An effective approach to address the NCD burden is through the multidimensional concept of health-promoting lifestyle. Another preferred approach by the population worldwide for NCD treatment is natural health product (NHP). Studies on NHP and health-promoting lifestyle among this vulnerable population, specifically the low-income urban community, are limited. Therefore, this study, aimed at investigating the NHP knowledge and health-promoting lifestyle, and to determine the factors associated with health-promoting lifestyle in a low income urban community in Cheras, Kuala Lumpur. This study has focused on sociodemographic characteristics, annual health monitoring activities, and health status, which are modifiable and non-modifiable factors. METHODS: Phase 1 of the study involves developing the Malay-version NHP knowledge questionnaire, whereas Phase 2 involves a cross-sectional study of 446 randomly selected low-income respondents to determine their level of health-promoting lifestyle and the associated factors. The respondents' sociodemographic, socioeconomic, health monitoring activity, health status, and NHP knowledge data were obtained using the newly developed Malay-version NHP questionnaire and the Health-Promoting Lifestyle Profile II (HPLP II) questionnaire. The independent variables include sociodemographic status, annual health monitoring activities, health status and NHP knowledge were analysed using simple and multiple linear regression. RESULTS: In this study, the 10-item NHP knowledge questionnaire developed in the Malay version contains two domains [safe use (eight items) and point of reference (two items)] (total variance explained: 77.4%). The mean of NHP knowledge score was 32.34 (standard deviation [SD] 7.37). Meanwhile, the mean score of health-promoting lifestyle was 109.67 (SD 25.01). The highest and lowest scores of health-promoting lifestyles are attributed to spiritual growth and physical activity, respectively. Ethnicity is associated with a higher health-promoting lifestyle level, same goes to the occupational status - NHP knowledge interaction. "Unclassified" education status and annual blood glucose level monitoring are associated with a lower level of health-promoting lifestyle. CONCLUSION: A new questionnaire in Malay version was developed to measure NHP knowledge. Compared to other subpopulations, the respondents' health-promoting lifestyle levels in this study were low, associated with ethnicity, education status, and health monitoring activities. The findings provided insight into the interaction between NHP knowledge and occupational status, which is associated with a higher health-promoting lifestyle level. Accordingly, the future health-promoting lifestyle intervention programmes in healthcare delivery should target these factors.

Impact of the improvement of living conditions on tuberculosis mortality in Brazil: an ecological study.

BACKGROUND: The risk of death due to tuberculosis (TB) in Brazil is high and strongly related to living conditions (LC). However, epidemiological studies investigating changes in LC and their impact on TB are lacking. OBJECTIVES: To evaluate the impact of LC on TB mortality in Brazil. DESIGN AND SETTING: This ecological study, using panel data on spatial and temporal aggregates, was conducted in 1,614 municipalities between 2002 and 2015. METHODS: Data were collected from the Mortality Information System and the Brazilian Institute of Geography and Statistics. The proxy variable used for LC was the Urban Health Index (UHI). Negative binomial regression models were used to estimate the effect of the UHI on TB mortality rate. Attributable risk (AR) was used as an impact measure. RESULTS: From 2002 to 2015, TB mortality rate decreased by 23.5%, and LC improved. The continuous model analysis resulted in an RR = 0.89 (95%CI = 0.82-0.96), so the AR was -12.3%. The categorized model showed an effect of 0.92 (95%CI = 0.83-0.95) in municipalities with intermediate LC and of 0.83 (95%CI = 0.82-0.91) in those with low LC, representing an AR for TB mortality of -8.7% and -20.5%, respectively. CONCLUSIONS: Improved LC impacted TB mortality, even when adjusted for other determinants. This impact was greater in the strata of low-LC municipalities.

A comparison of trauma patients in urban and rural areas presenting to a Canadian tertiary care centre.

BACKGROUND: The aim of our work was to examine differences between trauma patients in rural and urban areas who presented to a tertiary trauma centre in the province of Saskatchewan, Canada. METHODS: We identified a historical cohort of all level 1 trauma activations presenting to Royal University Hospital (RUH) from April 1, 2020, to March 31, 2022. We divided the cohort into 2 groups (urban and rural), according to the trauma location. The primary outcome of interest was 30-day mortality. Secondary outcomes of interest were hospital length of stay, readmission to hospital within 30 days of discharge, and complication rate. RESULTS: Trauma patients in rural areas were younger (34.1 v. 37 yr; p = 0.002) and more likely to be male (80.3% v. 74.4%; p = 0.040), with higher Injury Severity Scores (12.3 v. 8.3; p < 0.0001). Trauma patients in urban areas were more likely to sustain penetrating trauma (42.5% v. 28.5%; p < 0.0001). We saw no differences in morbidity and mortality between the 2 groups, but the rural trauma group had longer median lengths of stay (5 v. 3 d; p < 0.0007). CONCLUSION: Although we identified key differences in patient demographics, injury type, and injury severity, outcomes were largely similar between the urban and rural trauma groups. This finding contradicts comparable studies within Canada and the United States, a difference that may be attributable to the lack of inclusion of prehospital mortality in the rural trauma group. The longer length of stay in trauma patients from rural areas may be attributed to disposition challenges for patients who live remotely.

Nutritional status of HIV-infected children at Federal University Teaching Hospital, Owerri, Nigeria: A prospective analysis of rural and urban dwellers.

Malnutrition is a critical concern among children living with human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS), particularly in regions heavily affected by the HIV epidemic, such as sub-Saharan Africa. In 2019, nearly 2.84 million children under 19 years of age were living with HIV globally, with over 90% residing in sub-Saharan Africa. Concurrently, malnutrition remains prevalent in the region, with approximately 49 million children under the age of 5 experiencing stunting and 149 million suffering from wasting in 2018. This burden of malnutrition is exacerbated by factors such as poverty, food insecurity, and HIV/AIDS, which collectively contribute to adverse health outcomes among affected children. The bidirectional relationship between HIV/AIDS and malnutrition is well-established, with HIV infection increasing the risk of malnutrition and malnutrition worsening the progression of HIV/AIDS. Studies have consistently demonstrated higher rates of stunting, underweight, and wasting among HIV-infected children compared to their uninfected counterparts. Moreover, malnutrition significantly impacts the disease progression, morbidity, and mortality of HIV-infected individuals, further underscoring the importance of addressing this issue in pediatric HIV care. A total of 99 HIV-infected children, aged 2 to 16 years, were consecutively recruited from the pediatric infectious disease clinic of the Federal University Teaching Hospital Owerri. Anthropometric measurements, including weight and height, were obtained using a stadiometer (RGZ-160 England). Weight status was categorized as normal, underweight, overweight, or obese, while height status was classified as stunted, normal, or tall stature. The study participants ranged in age from 2 to 16 years. Approximately 20.2% of the children were underweight, and 6.1% were classified as obese. Stunting was observed in 29.3% of the participants. Notably, all forms of malnutrition, including underweight and overweight, were more prevalent among children residing in rural areas. In addition, stunting was more common among rural dwellers. This study highlights the high prevalence of malnutrition among HIV-infected children attending the pediatric infectious disease clinic at the Federal University Teaching Hospital Owerri. The findings underscore the urgent need for targeted nutritional interventions, particularly in rural areas, to improve the health outcomes of HIV-infected children.

National age-specific mortality trends for cervical and breast cancers in urban-rural areas of China from 2009 to 2021: a population-based analysis.

BACKGROUND: Cervical and breast cancers are among the top 4 leading causes of cancer-related mortality in women. This study aimed to examine age-specific temporal trends in mortality for cervical and breast cancers in urban and rural areas of China from 2009 to 2021. METHODS: Age-specific mortality data for cervical and breast cancers among Chinese women aged 20-84 years were obtained from China's National Disease Surveillance Points system spanning the years 2009 to 2021. Negative binomial regression models were utilized to assess urban-rural differences in mortality rate ratios, while Joinpoint models with estimated average annual percent changes (AAPC) and slopes were employed to compare temporal trends and the acceleration of mortality rates within different age groups. RESULTS: From 2009 to 2021, there was a relative increase in age-specific mortality associated with the two cancers observed in rural areas compared with urban areas. A rising trend in the screening age of 35-64 [AAPC: 4.0%, 95% confidence interval (CI) 0.5-7.6%, P = 0.026] for cervical cancer was noted in rural areas, while a stable trend (AAPC: - 0.7%, 95% CI - 5.8 to 4.6%, P = 0.78) was observed in urban areas. As for breast cancer, a stable trend (AAPC: 0.3%, 95% CI - 0.3 to 0.9%, P = 0.28) was observed in rural areas compared to a decreasing trend (AAPC: - 2.7%, 95% CI - 4.6 to - 0.7%, P = 0.007) in urban areas. Urban-rural differences in mortality rates increased over time for cervical cancer but decreased for breast cancer. Mortality trends for both cervical and breast cancers showed an increase with age across 4 segments, with the most significant surge in mortality observed among the 35-54 age group across urban and rural areas, periods, and regions in China. CONCLUSIONS: Special attention should be given to women aged 35-54 years due to mortality trends and rural-urban disparities. Focusing on vulnerable age groups and addressing rural-urban differences in the delivery of cancer control programs can enhance resource efficiency and promote health equity.

Quantifying urban park use in the USA at scale: empirical estimates of realised park usage using smartphone location data.

BACKGROUND: A large body of evidence connects access to greenspace with substantial benefits to physical and mental health. In urban settings where access to greenspace can be limited, park access and use have been associated with higher levels of physical activity, improved physical health, and lower levels of markers of mental distress. Despite the potential health benefits of urban parks, little is known about how park usage varies across locations (between or within cities) or over time. METHODS: We estimated park usage among urban residents (identified as residents of urban census tracts) in 498 US cities from 2019 to 2021 from aggregated and anonymised opted-in smartphone location history data. We used descriptive statistics to quantify differences in park usage over time, between cities, and across census tracts within cities, and used generalised linear models to estimate the associations between park usage and census tract level descriptors. FINDINGS: In spring (March 1 to May 31) 2019, 18·9% of urban residents visited a park at least once per week, with average use higher in northwest and southwest USA, and lowest in the southeast. Park usage varied substantially both within and between cities; was unequally distributed across census tract-level markers of race, ethnicity, income, and social vulnerability; and was only moderately correlated with established markers of census tract greenspace. In spring 2019, a doubling of walking time to parks was associated with a 10·1% (95% CI 5·6-14·3) lower average weekly park usage, adjusting for city and social vulnerability index. The median decline in park usage from spring 2019 to spring 2020 was 38·0% (IQR 28·4-46·5), coincident with the onset of physical distancing policies across much of the country. We estimated that the COVID-19-related decline in park usage was more pronounced for those living further from a park and those living in areas of higher social vulnerability. INTERPRETATION: These estimates provide novel insights into the patterns and correlates of park use and could enable new studies of the health benefits of urban greenspace. In addition, the availability of an empirical park usage metric that varies over time could be a useful tool for assessing the effectiveness of policies intended to increase such activities. FUNDING: Google.

A case study of inclusion of rural populations in research: Implications for science and health equity.

Prior research highlights that rural populations have been historically underrepresented/excluded from clinical research. The primary objective of this study was to describe the inclusion of rural populations within our research enterprise using Clinical Research Management System demographic information at a large academic medical center in the Southeast. This was a cross-sectional study using participant demographic information for all protocols entered into our Clinical Research Management System between May 2018 and March 2021. Descriptive statistics were used to analyze the representation of rural and non-rural participants and demographic breakdown by age, sex, race, and ethnicity for our entire enterprise and at the state level. We also compared Material Community Deprivation Index levels between urban and rural participants. Results indicated that 19% of the research population was classified as rural and 81% as non-rural for our entire sample, and 17.5% rural and 82.5% urban for our state-level sample. There were significant differences in race, sex, and age between rural and non-rural participants and Material Community Deprivation Indices between rural and non-rural participants. Lessons learned and recommendations for increasing the inclusion of rural populations in research are discussed.