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Background We compared long-term mortality and readmission rates after COVID-19 hospitalization based on rural-urban status and assessed the impact of COVID-19 vaccination introduction on clinical outcomes by rurality. Methods The study comprised adults hospitalized for COVID-19 at 17 hospitals in 4 US states between March 2020 and July 2022, followed until May 2023. The main analysis included all patients, whereas a sensitivity analysis focused on residents from 4 states containing 17 hospitals. Additional analyses compared the pre- and postvaccination periods. Results The main analysis involved 9325 COVID-19 hospitalized patients: 31% were from 187 rural counties in 31 states; 69% from 234 urban counties in 44 states; the mean age was 65 years (rural, 66 years; urban, 64 years); 3894 women (rural, 41%; urban, 42%); 8007 Whites (rural, 87%; urban, 83%); 1738 deaths (rural, 21%; urban, 17%); and 2729 readmissions (rural, 30%; urban, 29%). During a median follow-up of 602 days, rural residence was associated with a 22% higher all-cause mortality (log-rank, P <.001; hazard ratio, 1.22; 95% confidence interval, 1.10-1.34, P <.001), and a trend toward a higher readmission rate (log-rank, P =.038; hazard ratio, 1.06; 95% confidence interval,.98-1.15; P =.130). The results remained consistent in the sensitivity analysis and in both pre- and postvaccination time periods. Conclusions and Relevance Patients from rural counties experienced higher mortality and tended to be readmitted more frequently following COVID-19 hospitalization over the long term compared with those from urban counties, a difference that remained even after the introduction of COVID-19 vaccines. [ABSTRACT FROM AUTHOR]

With rapid urbanization in Taiwan, the green space has become a key factor in modifiable cardiovascular disease (CVD) risks. We investigated the relationships between socioeconomic status (SES), green space, and cerebrovascular disease (CBD) at the township level in Taiwan, focusing on urban–rural disparities. Analyzing data from 358 townships (2011–2020), we examined SES indicators (e.g., low-income households, education levels, median tax payments), green space (Normalized Difference Vegetation Index—NDVI), and CBD mortality rates using the pooled ordinary least squares (OLS) and random-effect models (REM) in panel regression. Additionally, we explored the mediating role of the NDVI in the SES-CBD mortality association. CBD mortality decreased more in urban areas over the decade, with consistent NDVI patterns across regions. Rural areas experienced a decline in low-income households, contrasting with an increase in urban areas. SES variables, NDVI, and time significantly affected CBD mortality in rural areas but not urban ones. Notably, the NDVI had a stronger impact on CBD mortality in rural areas. Mediation analysis revealed the NDVI's indirect effects, especially in rural areas. Despite overall declines in CBD mortality in Taiwan, urban–rural disparities in SES and green space persist. Addressing these disparities is critical for understanding and developing interventions to mitigate health inequalities. [ABSTRACT FROM AUTHOR]

To examine rural-urban differences in the relationships of sociodemographic, social network, and lifestyle factors to mortality in middle-aged men, we used the data from a community based prospective cohort study, the Komo-Ise study. The subjects were all men aged 40-69 years living in Komochi Village, the rural group (n=2,295), or the downtown district of Isesaki City, the urban group (n=3,334), as of 1993. They completed a self-administered questionnaire in 1993 and were followed for all-cause deaths until 2000. The Cox proportional hazards model was used to compute relative risks (RRs) with 95% confidence intervals (CIs). Low educated men and men without a spouse in the rural group had an increased risk of mortality (RR=4.4; 95%CI: 1.1-18.2, RR=2.4; 95%CI: 1.2-4.5). Men who did not enjoy good fellowship with their neighbors in the rural group had a decreased risk of mortality (RR=0.58; 95%CI: 0.35-0.97). Mortality risks were significantly higher in urban men not participating in hobbies, club activities or community groups (RR=1.6; 95%CI: 1.1-2.4). These variables remained significant risk factors, even after controlling for all sociodemographic, social network, lifestyle, and health status variables. Educational level, marital status and relation to neighborhoods showed significant rural-urban differences.

In the last two decades, colorectal cancer (CRC) mortality has been decreasing in the United States. However, the mortality trends for the different subtypes of CRC, including different sides of colon, rectosigmoid, and rectal cancer remain unclear. We analyzed the mortality trends of different subtypes of CRC based on Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research data from 1999 to 2020. We calculated age-adjusted mortality rates (AAMR) per 100,000 individuals and examined the trends over time by estimating the average annual percent change (AAPC) using the Joinpoint Regression Program. Our study shows that the overall CRC rates decreased significantly from 26.42 to 15.98 per 100,000 individuals, with an AAPC of -2.41. However, the AAMR of rectosigmoid cancer increased significantly from 0.82 to 1.08 per 100,000 individuals, with the AAPC of +1.10. Men and Black individuals had the highest AAMRs respectively (23.90 vs. 26.93 per 100,000 individuals). The overall AAMR of CRC decreased for those aged ≥50 years but increased significantly from 1.02 to 1.58 per 100,000 individuals for those aged 15-49 years, with an AAPC of +0.75. Rural populations had a higher AAMR than the urban populations (22.40 vs. 19.60 per 100,000 individuals). Although overall CRC mortality declined, rising trends in young-onset CRC and rectosigmoid cancer warrant attention. Disparities persist in terms of sex, race, and geographic region, and urbanization level, emphasizing the need for targeted public health measures., (© 2024 UICC.)

Background: Over the past three decades, China has experienced significant changes in urban-rural, gender, and age-specific suicide mortality patterns. This study aimed to investigate the long-term trends in suicide mortality in China from 1987 to 2020. Methods: Suicide mortality data were obtained from China's National Health Commission. Joinpoint regression analysis was used to examine changes in trends and age-period-cohort modeling to estimate age, period, and cohort effects on suicide mortality from 1987 to 2020. Net drift, local drift, longitudinal age curves, and period relative risks were also calculated. Results: Crude and age-standardized suicide mortality in China showed continuing downward trends from 1987 to 2020, with a more pronounced decrease in rural areas (net drift = -7.07%, p<0.01) compared to urban areas (net drift = -3.41%, p<0.01). The decline curve of urban areas could be divided into three substages. Period and cohort effects were more prominent in rural areas. Suicide risk was highest among individuals aged 20–24 and gradually increased after age 60. Females, particularly those of childbearing age, had higher suicide risk than males, with a reversal observed after age 50. This gender reversal showed distinct patterns in urban and rural areas, with a widening gap in urban areas and a relatively stable gap in rural areas. Conclusions: Suicide mortality in China has consistently declined over the past three decades. However, disparities in age, gender, and urban-rural settings persist, with new patterns emerging. Targeted suicide prevention programs are urgently needed for high-risk groups, including females of childbearing age and the elderly, and to address the slower decrease and reversing urban-rural gender trends. [ABSTRACT FROM AUTHOR]

Purpose: Recent literature has highlighted the overlapping contribution of demographic characteristics and spatial factors to urban-rural disparities in SARS-CoV-2 transmission and outcomes. Yet the interplay between individual characteristics, hospitalisation, and spatial factors for urban-rural disparities in COVID-19 mortality have received limited attention. Methods: To fill this gap, we use national surveillance data collected by the European Centre for Disease Prevention and Control and we fit a generalized linear model to estimate the association between COVID-19 mortality and the individuals' age, sex, hospitalisation status, population density, share of the population over the age of 60, and pandemic wave across urban, intermediate and rural territories. Findings: We find that in what type of territory individuals live (urban-intermediate-rural) accounts for a significant difference in their probability of dying given SARS-COV-2 infection. Hospitalisation has a large and positive effect on the probability of dying given SARS-CoV-2 infection, but with a gradient across urban, intermediate and rural territories. For those living in rural areas, the risk of dying is lower than in urban areas but only if hospitalisation was not needed; while for those who were hospitalised in rural areas the risk of dying was higher than in urban areas. Conclusions: Together with individuals' demographic characteristics (notably age), hospitalisation has the largest effect on urban-rural disparities in COVID-19 mortality net of other individual and regional characteristics, including population density and the share of the population over 60. [ABSTRACT FROM AUTHOR]

Background: Cancer incidence and mortality vary across the globe, with nearly two-thirds of cancer-related deaths occurring in low- and middle-income countries. The rural-urban disparity in socio-demographic, behavioural, and lifestyle-related factors, as well as in access to cancer care, is one of the contributing factors. Population-based cancer registries serve as a measure for understanding the burden of cancer. We aimed to evaluate the rural-urban disparity in cancer burden and care of patients registered by an Indian population-based cancer registry. Methods: This study collected data from Varanasi, Uttar Pradesh, India, between 2017 and 2019. Sex and site-specific age-standardised rates for incidence and mortality per 100,000 population were calculated. Rural-urban disparities in cancer incidence and mortality were estimated through rate differences and standardised rate ratios (with 95% confidence intervals). Univariable and multivariable regressions were applied to determine any significant differences in socio-demographic and cancer-related variables according to place of residence (rural/urban). Crude and adjusted odds ratios with 95% confidence intervals were calculated. Results: 6721 cancer patients were registered during the study duration. Urban patients were older and had better literacy and socioeconomic levels, while rural patients had higher odds of having unskilled or semi-skilled professions. Diagnostic and clinical confirmation for cancer was significantly higher in urban patients, while verbal autopsy-based confirmation was higher in rural patients. Rural patients were more likely to receive palliative or alternative systems of medicine, and urban patients had higher chances of treatment completion. Significantly higher incidence and mortality were observed for oral cancer among urban men and for cervical cancer among rural women. Despite the higher incidence of breast cancer in urban women, significantly higher mortality was observed in rural women. Conclusions: Low- and middle-income countries are facing dual challenges for cancer control and prevention. Their urban populations experience unhealthy lifestyles, while their rural populations lack healthcare accessibility. The distinctness in cancer burden and pattern calls for a re-evaluation of cancer control strategies that are tailor-made with an understanding of urban-rural disparities. Context-specific interventional programmes targeting risk-factor modifications, cancer awareness, early detection, and accessibility to diagnosis and care are essential. [ABSTRACT FROM AUTHOR]

Objective. To determine how primary lifetime occupation type is associated with mortality, and how the relationship varies by rural and urban dwelling. Materials and methods. Data come from 2001-2018 Mexican Health and Aging Study (adults aged 50+, n=11 094). We created five occupation categories. Cox proportional hazard models predicted mortality using baseline covariates. Results. In both rural and urban settings, participants with manual jobs, such as agriculture and production/industrial jobs, had an increased risk of mortality compared to those with administrative/professional jobs. In urban settings, participants in the domestic/service and no main job categories had higher risk of mortality than those in the administrative/professional category. For men these differences remained, but not for women. Conclusion. In a context of rural and urban demographic shifts, it is crucial to consider the implications that occupation as a socioeconomic factor can have on health and to identify the most vulnerable groups. [ABSTRACT FROM AUTHOR]

Globally, there has been tremendous advancement in medicine and child healthcare with increased life expectancy. That notwithstanding, the risk of under-five mortality ─ children dying before their fifth birthday remains relatively high in countries in Sub-Saharan Africa such as Ghana. In Ghana, under-five mortality remains a major public health problem that requires significant policy interventions. Using data from the 2017 Maternal Health Survey (n = 4785), we examined the geographic disparities in the time to under-five mortality in Ghana. The Kaplan Meier estimator showed significant (Log-rank: p< 0.001) rural-urban differences in the time to under-five mortality in Ghana. A disaggregated cox proportional hazards analysis showed that despite wide consensus that children in urban areas have a high survival rate, children in urban areas in northern regions of Ghana, especially the Upper West (HR = 4.40, p < 0.05) and Upper East (HR = 5.37, p < 0.01) Regions were significantly at increased risk of dying before the age of five compared to children in urban areas in the Greater Accra Region. A rural-urban comparison showed that children born in rural areas in all the other regions of Ghana were at a higher risk of dying before the age of five when compared to their counterparts in the rural areas of Greater Accra Region. Other factors such as sex of child, mothers' age and use of the internet, number of household members, ethnicity and household wealth were significantly associated with the timing of under-five mortality in Ghana. Healthcare policies and programs such as immunizations and affordable child healthcare services should be prioritized especially in rural areas of regions with a high risk of child mortality. Also, there is a need to improve healthcare delivery in urban areas, particularly in northern Ghana, where deplorable healthcare service infrastructure and delivery coupled with high poverty rates put children at risk of dying before their fifth birthday. [ABSTRACT FROM AUTHOR]

Background: Evidence on rural-urban differences in adult mortality in low- and middle-income countries (LMICs) is limited and mixed. We examined the size of and factors contributing to rural-urban life expectancy differences among adults in Indonesia, the third most populous LMIC.Methods: Data come from the 2000, 2007, and 2014/2015 waves of the Indonesian Family Life Survey, a population-representative longitudinal study with mortality follow-up. We used Poisson regression and life tables to estimate rural-urban differences in life expectancy among 18,867 adult respondents ≥30 years. We then used a novel g-formula-based decomposition to quantify the contribution of rural-urban differences in blood pressure (BP), body mass index (BMI), and smoking to life expectancy differences.Results: Compared with urban adults, life expectancy at age 30 was 2.2 (95% confidence interval [CI] = 0.4, 3.9) years higher for rural men and 1.2 (95% CI = -0.4, 2.7) years higher for rural women. Setting the BMI and systolic BP distribution equal in urban and rural adults reduced the urban mortality penalty by 22% for men and 78% for women, with the majority of this reduction coming from the contribution of rural-urban differences in BMI. Smoking did not contribute to the urban mortality penalty for either men or women.Conclusions: Adult life expectancy is lower in urban than in rural areas in Indonesia and we estimate that this difference is partly related to differences in BMI and systolic BP. [ABSTRACT FROM AUTHOR]

Rural-urban health disparities in life expectancy are large and increasing, with the rural-urban disparity stroke mortality serving as a potential contributor. Data from Vital Statistics shows an unexplained temporal pattern in the rural-urban disparity in stroke-specific mortality, with the magnitude of the disparity increasing from 15% to 25% between 1999 and 2010, but subsequently decreasing to 8% by 2019. This recent decrease in the magnitude of the rural-urban disparity in stroke mortality appears to be driven by a previously unreported plateauing of stroke mortality in urban areas and a continued decline of stroke mortality in rural areas. There is a need to better understand the contributors to these temporal changes; however, a general lack of temporal data on potential contributors prevents this investigation. However considering contributors to the rural-urban differences pooled across time, an overall a higher stroke incidence in rural areas appears to be a contributor to the higher rural stroke mortality, with this higher incidence potentially associated with a higher prevalence of stroke risk factors in rural areas. Conversely, studies assessing rural-urban disparities in stroke case fatality show smaller and inconsistent associations. To the extent that disparities in case fatality do exist, there are many studies showing rural-urban disparities in stroke care could be contributing. While these data offer insights to the overall rural-urban disparities in stroke mortality, additional data are needed to help understand temporal changes in the magnitude of the rural-urban stroke mortality disparity. [ABSTRACT FROM AUTHOR]

Background: The epidemiology of stroke is evolving in China as the population undergoes demographic, lifestyle, and economic transitions. An updated review is pertinent to providing feedback on current, and in planning future, prevention and management strategies. Aims: To identify high-quality epidemiological studies for quantifying the prevalence, incidence, mortality, and case fatality for stroke in China. Methods: A search was undertaken across a range of bibliographic databases on 30 November 2021 without time limitation. Assessments were made of the risk of bias of the included studies. The outcomes were synthesized using a random-effects model. Subgroup analysis and meta-regression models were used to define the source of heterogeneity. Results: Of 9407 identified records, 26 population-based studies were included. Due to significant heterogeneity across the studies, the original range for crude rates of indices was wide. The pooled annual prevalence was 1329.5/100,000 (95% confidence interval (CI) 713.6–2131.9, p < 0.001), incidence 442.1/100,000 (327.6–573.8, p < 0.001), mortality 154.1/100,000 (52.6–308.8, I2 = 100%, p < 0.001), and case fatality 35.8% (26.1% to 46.1%, I2 = 97%, p < 0.001). The prevalence and incidence of stroke have increased, but stroke-related case fatality has declined in China over recent decades. There are significant regional and rural-urban differences in incidence rates. Conclusion: Despite improved public health policies and healthcare delivery, the burden of stroke remains high in China. Further coordinated efforts are required in prevention and community care to offset the likelihood of further expansion in the absolute number of stroke cases in this large population. [ABSTRACT FROM AUTHOR]

This study used data from the US Centers for Disease Control and Prevention WONDER database to examined temporal trends in cardiovascular disease age-adjusted mortality rates overall and across subgroups stratified by rural-urban area designation in the US. [ABSTRACT FROM AUTHOR]

INTRODUCTION: We examined trends in rural-urban cirrhosis mortality disparities in the United States from decedents aged 25 years and older from 1999 to 2019. METHODS: We calculated cirrhosis age-adjusted mortality rates across 3 population categories: large metropolitan (≥1 million), medium/small metropolitan (50,000–999,999), and rural (<50,000) areas using the US Centers for Disease Control and Prevention Wide-ranging ONline Data for Epidemiologic Research database. RESULTS: We found an almost 20-fold increase in the absolute difference in cirrhosis age-adjusted mortality rates between rural and large metropolitan areas between 1999 and 2019. DISCUSSION: Future research is needed to investigate reasons for this widening rural-urban disparity to improve rural cirrhosis care. [ABSTRACT FROM AUTHOR]

Objective: Compare the urban-rural disparity in cancer mortality and changing trend during the past 18 years in Tianjin, China.Methods: Cancer death data were obtained from Tianjin All Cause of Death Registration System (CDRS), which covers the whole population of Tianjin. We calculated and compared the constituent ratio of cancer deaths, age-standardized mortality rate(ASR)and changing trends between urban and rural areas.Results: From 1999 to 2016, a total of 245,744 cancer deaths were reported, accounting 21.7% of all deaths in Tianjin. The ASR of total cancer mortality was higher in urban areas than in rural areas. A total of 33,739 persons were avoided dying of cancers in rural area compared to the urban death level from 1999 to 2016, which was 40.1% compare to the current level of rural areas. But the gap between urban and rural areas became narrowed gradually. The urban-rural ratios (urban/rural) of total cancer mortality changed from 1.76 (125.7/71.5)[95%CI,1.67,1.84] in 1999 to 1.11 (99.6/90.0)[95%CI,1.06,1.15] in 2016. The ASR of lung, liver and esophagus cancer became higher in rural areas than in urban areas in 2016.Conclusion: Cancer transition was obviously occurred in Tianjin and showed different speeds and big gap between urban and rural areas. Much more attention was needed to pay in rural areas which still have increasing trends in most cancers mortality recently. [ABSTRACT FROM AUTHOR]

Objective: Ischaemic heart disease (IHD) is a major source of disease burden worldwide. Recent trends show incidence is declining but it is unclear whether the trends are similar in urban and rural populations. This study examines the trends of IHD events (i.e. hospitalisations and deaths) in New South Wales, Australia by rurality.Methods: This was a retrospective analysis of linked administrative data for hospitalisation and death records across NSW between 2001 and 2015. Participants were NSW residents aged 15-105 years who died or were hospitalised with a principal diagnosis of IHD. The main outcome measures were annual age-standardised mortality and hospitalisations for IHD by calendar year and rurality.Results: Between 2001 and 2015, age-standardised annual IHD hospitalisations declined in urban areas from 587 to 260 and in rural areas from 766 to 395 per 100,000 people. The annual decline in hospitalisations was greater in urban than rural areas, with Annual Percentage Change (APC) of -5.6% (95% CI, -6.1%, -5.0%) and -4.5% (95% CI, -5.0%, -4.0%), respectively (p=0.012). Ischaemic heart disease mortality declined at a similar rate in urban and rural regions (APC -7.6% and -6.7% per annum, p=0.28). Absolute inequalities in IHD deaths persisted until 2015 when there were 49 (urban) and 70 (rural) IHD deaths per 100,000 people.Conclusions: Ischaemic heart disease hospitalisations and mortality have declined considerably between 2001 and 2015 in both rural and urban areas, yet inequalities persist, suggesting more intensive preventive efforts are required to further reduce the burden of IHD in rural populations. [ABSTRACT FROM AUTHOR]

Studies have shown that children in rural areas face excess risks of dying, but the little research on spatial inequalities in adult mortality has reached mixed conclusions. We examine rural–urban differences in mortality in 53 low- and middle-income countries. We consider how the rural–urban mortality gap evolves from birth to age 60 by estimating mortality based on birth and sibling histories from 138 Demographic and Health Surveys run between 1992 and 2018. We observe excess rural mortality until age 15, finding the largest differences between urban and rural sectors among 1–59-month-olds. While we cannot claim higher mortality among urban adults than those in rural areas, we find a reduced gap between the sectors over the life course and a diminishing urban advantage in adult mortality with age. This shift over the life course reflects a divergence in the epidemiologic transition between the rural and urban sectors. [ABSTRACT FROM AUTHOR]

Background: Urban-rural disparity in mortality at older ages is well documented in China. However, surprisingly few studies have systemically investigated factors that contribute to such disparity. This study examined the extent to which individual-level socioeconomic conditions, family/social support, health behaviors, and baseline health status contributed to the urban-rural difference in mortality among older adults in China.Methods: This research used the five waves of the Chinese Longitudinal Healthy Longevity Survey from 2002 to 2014, a nationally representative sample of older adults aged 65 years or older in China (n = 28,235). A series of hazard regression models by gender and age group examined the association between urban-rural residence and mortality and how this association was modified by a wide range of individual-level factors.Results: Older adults in urban areas had 11% (relative hazard ratio (HR) = 0.89, p < 0.01) lower risks of mortality than their rural counterparts when only demographic factors were taken into account. Further adjustments for family/social support, health behaviors, and health-related factors individually or jointly had a limited influence on the mortality differential between urban and rural older adults (HRs = 0.89-0.92, p < 0.05 to p < 0.01). However, we found no urban-rural difference in mortality (HR = 0.97, p > 0.10) after adjusting for individual socioeconomic factors. Similar results were found in women and men, and among the young-old and the oldest-old populations.Conclusions: The urban-rural disparity in mortality among older adults in China was largely attributable to differences in individual socioeconomic resources (i.e., education, income, and access to healthcare) regardless of gender and age group. [ABSTRACT FROM AUTHOR]

Background: Eliminating health disparities among different segments of the US population is an overarching goal of the US Healthy People 2020 objectives. Objective: Examine changes in educational, rural-urban, and racial disparities in premature mortality during the past 10 years. Design and Participants: Descriptive analysis of US mortality data from 2007 to 2017. Main Measures: Relative and absolute rural-urban, educational attainment, and Black-White disparities in premature mortality for all-cause and top 10 causes of death among persons ages 25–74 years, estimated as rate ratios and rate differences between ≤12 and ≥16 years of education, rural versus urban, and non-Hispanic Black (Black) versus non-Hispanic White (White), respectively, in 2007 and 2017. Key Results: During 2007–2017, mortality rates in persons aged 25–74 years in the USA increased for several leading causes of death, especially in persons with <16 years of education, rural residents, and White people. As a result, disparity in mortality between 2007 and 2017 widened on both relative and absolute scales for all-cause and for 6 of the top 10 causes of death by education and for all-cause and for 9 of the top 10 causes by rural/urban residence. In contrast, Black-White disparities narrowed for all-cause and for all 7 causes that Black people had a higher rate than White people. For all-cause mortality for example, absolute disparities in the number of deaths per 100,000 person-years between 2007 and 2017 increased from 454.0 (95%CI, 446.0–462.1) to 542.7 (535.6–549.7) for educational attainment and from 85.8 (82.8–88.8) to 140.5 (137.6–143.4) for rural versus urban; in contrast, absolute Black-White disparity decreased from 315.3 (311.0–319.7) to 221.7 (218.1–225.3). Conclusions: Educational and rural-urban disparities in premature mortality widened, whereas Black-White disparities narrowed in the USA between 2007 and 2017, though overall rates remained considerably higher in Black people. [ABSTRACT FROM AUTHOR]

Objectives. To demonstrate how inferences about rural–urban disparities in age-adjusted mortality are affected by the reclassification of rural and urban counties in the United States from 1970 to 2018. Methods. We compared estimates of rural–urban mortality disparities over time, produced through a time-varying classification of rural and urban counties, with counterfactual estimates of rural–urban disparities, assuming no changes in rural–urban classification since 1970. We evaluated mortality rates by decade of reclassification to assess selectivity in reclassification. Results. We found that reclassification amplified rural–urban mortality disparities and accounted for more than 25% of the rural disadvantage observed from 1970 to 2018. Mortality rates were lower in counties that reclassified from rural to urban than in counties that remained rural. Conclusions. Estimates of changing rural–urban mortality differentials are significantly influenced by rural–urban reclassification. On average, counties that have remained classified as rural over time have elevated mortality. Longitudinal research on rural–urban health disparities must consider the methodological and substantive implications of reclassification. Public Health Implications. Attention to rural–urban reclassification is necessary when evaluating or justifying policy interventions focusing on geographic health disparities. [ABSTRACT FROM AUTHOR]

We summarize several studies, from the last 10 years. of temporal changes and rural-urban differences in the risk factors of cardiovascular disease (CVD) in China to indicate the influences of economic modernization. Two national blood pressure surveys have shown that the prevalence of hypertension increased from 5.1% to 7.7% between 1958-1959 and 1979-1980. Throughout China hypertension is more prevalent in urban areas than in rural areas. Within the Shanghai region body mass index, blood pressure, and total serum cholesterol were higher in urban districts than in rural areas. Rural-urban differences in lipid levels were also found in the Beijing and Guangzhou regions. A related four-sear followup study showed that total serum cholesterol and triglycerides increased markedly in both urban and rural areas of Guangzhou. In Shanghai part-time farmers who worked in factories had a higher age-adjusted prevalence of definite hypertension than farmers who worked full-time in the fields (5.0% versus 2.3%). In a prospective study in Wuhan a new productivity-based salary system was associated with increased serum cholesterol and blood pressure. Age-adjusted CVD mortality increased from 1973 to 1982 in a rapidly industrializing county in the Shanghai metropolitan region. The results from several studies indicate that China is undergoing the expected increase in modernization-related CVD risk factors and mortality, especially in urban metropolitan regions. [ABSTRACT FROM AUTHOR]

Since late-2020, COVID-19 mortality rates have been higher in rural than in urban America, but there has also been substantial within-rural heterogeneity. Using CDC data, we compare COVID-19 mortality rates across the rural-urban continuum as well as within rural counties across different types of labor markets and by metropolitan adjacency. As of October 1, 2021, the cumulative COVID-19 mortality rate was 247.0 per 100,000 population in rural counties compared to 200.7 in urban counties. Higher COVID-19 mortality rates in rural counties are explained by lower average educational attainment and lower median household income. Within rural counties, mortality rates have been highest in farming-dependent counties and lowest in recreation-dependent counties. Those differences are similarly explained by differences in educational attainment and median household income. Our findings have implications for ongoing COVID-19 prevention and vaccination efforts as well as for informing preparation efforts for future infectious disease outbreaks. [ABSTRACT FROM AUTHOR]

Objective: China is a developing country with urban-rural disparities and accelerating population aging. Therefore, quantifying the effects of population aging on the cancer mortality burden is urgently needed. Methods: Using data from China's death surveillance datasets (2004-2017), we decomposed and quantified the effects of population aging and factor variations on cancer mortality rates in urban and rural China during 2004-2017 through a decomposition method. R ratios were used to assess the extent of the mortality decreases attributable to factor variations offsetting the increases attributable to population aging for 4 aging-related cancers (lung, colorectal, esophageal, and stomach cancer). Results: Overall, population aging has led to continued increases in cancer mortality rates in China during 2004-2017 (mortality rates attributable to population aging: 8.63/100,000 for urban men, 4.21/100,000 for urban women, 11.95/100,000 for rural men, and 5.66/100,000 for rural women). The 4 cancers displayed 3 patterns. The mortality rates from lung cancer in rural China and from colorectal cancer nationwide increased because of both population aging and factor variations. Population aging was primarily responsible for the growing mortality due to lung cancer in urban areas. However, for esophageal and stomach cancer, the effect of population aging was not dominant, thus resulting in decreases in mortality rates. Conclusions: Health resource allocation should prioritize areas or cancers more adversely affected by population aging. The burden of cancer will continue to increase in the future, because of rapid population aging, but can still be offset or even reversed with enhanced cancer control and prevention. [ABSTRACT FROM AUTHOR]

Background: Socioeconomically disadvantaged populations often have higher exposures to particulate air pollution, which can be expected to contribute to differentials in life expectancy. We examined socioeconomic differentials in exposure and air pollution-related mortality relating to larger scale (5 km resolution) variations in background concentrations of selected pollutants across England.Methods: Ozone and particulate matter (sub-divided into PM10, PM2.5, PM2.5-10, primary, nitrate and sulphate PM2.5) were simulated at 5 km horizontal resolution using an atmospheric chemistry transport model (EMEP4UK). Annual mean concentrations of these pollutants were assigned to all 1,202,578 residential postcodes in England, which were classified by urban-rural status and socioeconomic deprivation based on the income and employment domains of the 2010 English Index of Multiple Deprivation for the Lower-level Super Output Area of residence. We used life table methods to estimate PM2.5-attributable life years (LYs) lost in both relative and absolute terms.Results: Concentrations of the most particulate fractions, but not of nitrate PM2.5 or ozone, were modestly higher in areas of greater socioeconomic deprivation. Relationships between pollution level and socioeconomic deprivation were non-linear and varied by urban-rural status. The pattern of PM2.5 concentrations made only a small contribution to the steep socioeconomic gradient in LYs lost due to PM2.5 per 103 population, which primarily was driven by the steep socioeconomic gradient in underlying mortality rates. In rural areas, the absolute burden of air pollution-related LYs lost was lowest in the most deprived deciles.Conclusions: Air pollution shows modest socioeconomic patterning at 5 km resolution in England, but absolute attributable mortality burdens are strongly related to area-level deprivation because of underlying mortality rates. Measures that cause a general reduction in background concentrations of air pollution may modestly help narrow socioeconomic differences in health. [ABSTRACT FROM AUTHOR]

Background About 19% of the United States population lives in rural areas and is served by only 10% of the physician workforce. If this misdistribution represents a shortage of available surgeons, it is possible that outcomes for rural patients may suffer. The objective of this study was to explore differences in outcomes for emergency general surgery (EGS) conditions between rural and urban hospitals using a nationally representative sample. Methods Data from the 2007-2011 National Inpatient Sample were queried for adult patients (≥18 years) with a primary diagnosis consistent with an EGS condition, as defined by the American Association for the Surgery of Trauma. Urban and rural patients were matched on patient-level factors using coarsened exact matching. Differences in outcomes including mortality, morbidity, length of stay (LOS), and total cost of hospital care were assessed using multivariable regression models. Analogous counterfactual models were used to further examine hypothetical outcomes, assuming that all patients had been treated at urban centers. Results A total of 3,749,265 patients were admitted with an EGS condition during the study period. Of 3259 hospitals analyzed, 40.2% ( n = 1310) were rural; they treated 14.6% of patients. Relative to urban centers, EGS patients treated at rural centers had higher odds of in-hospital mortality (odds ratio [OR]: 1.24; 95% confidence interval [CI]: 1.21-1.28) and lower odds of major complications (OR: 0.98; 95% CI: 0.96-0.99). Rural patients had 0.51 d (95% CI: 0.50-0.53) shorter LOS and $744 (95% CI: 712-774) higher cost of hospitalization compared to urban patients. In counterfactual models overall odds of death decreased by 0.05%, whereas the overall odds of complications increased by 0.02%. Overall difference in LOS and total costs were comparable with absolute differences of 0.08 d and $98, respectively. Conclusions Despite the statistically significant difference in mortality and cost of care at rural versus urban hospitals, the magnitude of absolute differences is sufficiently small to indicate limited clinical importance. Large urban centers are designed to manage complex cases, but our results suggest that for cases appropriate to treat in rural hospitals, equivalent outcomes are found. These findings will inform future work on rural outcomes and provide impetus for regionalization of care for complex EGS presentations. [ABSTRACT FROM AUTHOR]

Background: Limited access to mental health and addiction (MHA) services in rural areas may increase the risk of recurrent alcohol-related harm among rural, relative to urban, residents. This study evaluated (1) rural-urban differences in clinical trajectories following alcohol-related hospitalizations and (2) whether limited access to MHA services mediates an increased risk of adverse post-discharge outcomes in rural areas.Methods: This was a population-based retrospective cohort study of individuals in Ontario, Canada, who experienced an alcohol-related hospitalization between 2016 and 2018. The primary exposure was rurality. The outcomes of interest were outpatient MHA care, alcohol-related emergency department visits, alcohol-related hospitalizations, and all-cause mortality within one-year of discharge from the index alcohol-related hospitalization. Data were collected using provincial health administrative databases. The associations between rurality and the time to each outcome were assessed using multivariable time-to-event regression. Mediation analyses were conducted using a counterfactual approach.Results: 46,657 individuals were included. 11.5% of the cohort died within one year of discharge from the index alcohol-related hospitalization. Relative to urban residents, rural residents were less likely to receive MHA outpatient care (adjusted hazard ratio (aHR): 0.80, 95% confidence interval (CI): 0.75-0.86) and more likely to die (aHR: 1.19, 95% CI: 1.06-1.34) in the year following discharge. The lower likelihood of post-discharge MHA-related care among rural residents mediated 31% (95% CI: 13-46%) of the increased risk of mortality.Conclusions: A lack of follow-up MHA care mediates an increased risk of short-term mortality following alcohol-related hospitalizations in rural, relative to urban, communities. [ABSTRACT FROM AUTHOR]

Background: Childhood fevers due to malaria remain a major cause of morbidity and mortality among under-five children in Nigeria. The degree of vulnerability perceived by mothers will affect their perception of the severity and threat of their child's fever and the patterns of health care use. This study was undertaken to compare maternal responses to childhood fever in urban and rural areas of Enugu, south east Nigeria. Methodology/Principal Findings: Data was collected with pre-tested interviewer-administered questionnaires from 276 and 124 urban and rural households respectively. In each household, only one woman aged 15-49 years who had lived in each of the urban and rural communities for at least one year and had at least one child less than 5 years old was interviewed. Malaria was mentioned as the commonest cause of childhood fevers. Rural mothers were more likely to recognize danger signs and symptoms than urban mothers. Rural mothers use more of informal than formal health services, and there is more home management of the fever with urban than rural mothers. Chloroquine, ACT, SP and Paracetamol are the main drugs given at home for childhood fevers, but the rural mothers were more likely to use leftover drugs from previous treatment to treat the fevers than urban mothers. The urban respondents were also more likely to use a preventive measure. Urban mothers sought actions faster than rural mothers and the total cost of treatment was also higher in urban areas. Conclusions/Significance: Both urban and rural mothers are aware that malaria is the major cause of childhood fevers. Although rural mothers recognize childhood fever and danger signs better than urban mothers, the urban mothers' responses to fever seem to be better than that for rural mothers. These responses and differences may be important for geographical targeting by policy makers for malaria interventions. [ABSTRACT FROM AUTHOR]

Background: This study assesses whether 90‐day mortality differs between patients living in rural and urban areas, as lower access to supportive care services in rural areas could result in higher mortality. Methods: All patients with head and neck cancer (HNC) treated between 1998 and 2014 with radiotherapy in British Columbia were included. Patients were divided into rurality areas according to the Modified Statistics Canada (mSC) definition, which classifies a population <30 000 as rural and ≥30 000 as urban. Results: Five thousand five hundred and fifty‐four patients were included in this study, of which 68% lived in urban centers. The 90‐day mortality for rural versus urban patients were 3.0% and 3.9% (p = 0.09), respectively. Univariate and multivariate analyses showed no association with 90‐day mortality and rurality. Conclusion: After controlling for potentially confounding factors, we did not find a significant association between 90‐day mortality and rurality in patients who were treated with radiotherapy for HNC in British Columbia. [ABSTRACT FROM AUTHOR]

After decades of lower or comparable mortality rates in rural than in urban areas of the U.S., numerous studies have documented a rural mortality penalty that started in the 1990s and has grown since the mid-2000s. The widening of the gap appears to be especially pronounced among non-Hispanic (NH) whites. However, the rural U.S. is not monolithic, and some rural places have experienced much larger mortality rate increases than others over the past 30 years. Drawing on restricted mortality files from the National Vital Statistics System (NVSS), I examine metro versus nonmetro and intra-nonmetro (divisional and economic dependency) all-cause and cause-specific mortality trends among working-age (25–64) NH white males and females, 1990–2018. Results show that the nonmetro mortality penalty is wide and growing and is pervasive across multiple disease and injury categories. Trends for females are particularly concerning. Smaller nonmetro declines in mortality from cancers and cardiovascular disease (throughout the 1990s and 2000s) and larger increases in metabolic and respiratory diseases, suicide, alcohol-related, and mental/behavioral disorders (throughout the 2010s) collectively drove the growth in the nonmetro disadvantage. There are also large divisional disparities (which are growing for females), with particularly poor trends in New England, South Atlantic, ES Central, WS Central, and Appalachia and more favorable trends in the Mid-Atlantic, Mountain, and Pacific. Mining-dependent counties have diverged from the other economic dependency types since the mid-2000s due to multiple causes of death, whereas farming counties have comparatively lower mortality rates. High and rising mortality rates across a variety of causes and rural places, some of which have been occurring since the 1990s and others that emerged more recently, suggest that there is not one underlying explanation. Instead, systemic failures across a variety of institutions and policies have contributed to rural America's troubling mortality trends generally and within-rural disparities more specifically. [ABSTRACT FROM AUTHOR]

ABSTRACT In the Roman period, urban and rural ways of living were differentiated philosophically and legally, and this is the first regional study of these contrasting life-ways. Focusing on frailty and mortality risk, we investigated how these differed by age, sex, and status, using coffin type as a proxy for social status. We employed skeletal data from 344 individuals: 150 rural and 194 urban (1st-5th centuries A.D.) from Dorset, England. Frailty and mortality risk were examined using indicators of stress (cribra orbitalia, porotic hyperostosis, nonspecific periostitis, and enamel hypoplastic defects), specific metabolic and infectious diseases (rickets, scurvy, and tuberculosis), and dental health (carious lesions and calculus). These variables were studied using Chi-square, Siler model of mortality, Kaplan-Meier analysis, and the Gompertz model of adult mortality. Our study found that overall, mortality risk and survivorship did not differ between cemetery types but when the data were examined by age, mortality risk was only significantly higher for urban subadults. Demographic differences were found, with urban cemeteries having more 0-10 and >35 year olds, and for health, urban cemeteries had significantly higher frequencies of enamel hypoplastic defects, carious lesions, and rickets. Interestingly, no significant difference in status was observed between rural and urban cemeteries. The most significant finding was the influence of the skeletal and funerary data from the Poundbury sites, which had different demographic profiles, significantly higher frequencies of the indicators of stress and dental health variables. In conclusion, there are significant health, demographic, and mortality differences between rural and urban populations in Roman Britain. Am J Phys Anthropol 157:107-120, 2015. © 2015 Wiley Periodicals, Inc. [ABSTRACT FROM AUTHOR]

Background Rural residence is associated with stroke incidence and mortality, but little is known about potential rural/urban differences in ambulatory stroke care. Methods and Results We used the CANHEART (Cardiovascular Health in Ambulatory Care Research Team) cohort, created from linked administrative databases from the province of Ontario, Canada, and divided into primary (N=6 207 032) and secondary (N=75 823) prevention cohorts based on the absence or presence of prior stroke. We defined rural communities as those with a population size of ≤10 000 and within each of the primary and secondary prevention cohorts, compared cardiovascular risk factors and care between rural and urban areas. We then calculated sex-/age-standardized rates of stroke incidence and mortality per 1000 person-years between January 1, 2008 and December 31, 2012 and used cause-specific hazard models to compare outcomes in rural versus urban areas adjusting for age, sex, income, ethnicity, smoking, physical activity and comorbid conditions, and accounting for the competing risk of death in the model for the occurrence of stroke incidence. In the primary prevention cohort, rural residents were less likely than urban ones to be screened for diabetes mellitus (70.9% versus 81.3%) and hyperlipidemia (66.2% versus 78.4%) and less likely to achieve diabetes mellitus control (hemoglobin A1c ≤7% in 51.3% versus 54.3%; P<0.001 for all comparisons). In the secondary prevention cohort, the prevalence and treatment of risk factors were similar in rural and urban residents. After adjustment for sociodemographic and comorbid conditions, rural residence was associated with higher rates of stroke and all-cause mortality in both the primary prevention (adjusted hazard ratio [aHR] for stroke, 1.06; 95% CI, 1.04-1.09; aHR for mortality, 1.09; 95% CI, 1.08-1.10) and the secondary prevention cohort (aHR for stroke, 1.11; 95% CI, 1.02-1.19; aHR for mortality, 1.07; 95% CI, 1.03-1.11). Conclusions In this population-based study of over 6 million people with universal access to physician and hospital services, risk factors were more prevalent but less likely to be controlled in rural than in urban residents without prior stroke, whereas in those with prior stroke, risk factor prevalence and treatment were similar. Rural residence was associated with the rate of stroke and death even after adjustment for risk factors. Future efforts should focus not only on control of known vascular risk factors but also on addressing other determinants of health in rural communities. [ABSTRACT FROM AUTHOR]