Nutritional quality of food purchases during the COVID-19 public health crisis: An analysis of geographic disparities in North Carolina.

Objective: To examine geographic disparities in the nutritional quality of food purchases during the COVID-19 public health crisis in North Carolina (NC). Methods: Using shopper-level longitudinal transaction records between October 2019- and December 2020 from NC's largest grocery retailer, we fit mixed-effect models to examine disparities in the nutritional quality of food purchases among shoppers in counties with different levels of socioeconomic development and how such disparities changed after March 2020, accounting for other observed and contextual factors. Results: Shoppers in counties with lower development levels purchased a larger share of calories from least healthy foods and a smaller share from healthier foods compared to shoppers in counties with higher development levels. These disparities were slightly attenuated for the least healthy foods and did not change for healthier foods after the onset of the COVID crisis. Conclusion: Despite existing nutritional disparities among shoppers in counties with different levels of socioeconomic development, we did not observe a large-scale accentuation of inequities in dietary quality during the COVID-19 crisis. This pattern may have resulted from programmatic responses to mitigate the adverse effects of the COVID crisis on vulnerable populations. Future work should further explore the role of such responses.

Contemporary Prevalence of Oral Clefts in the US: Geographic and Socioeconomic Considerations.

Background: Socio-economic status, living environments, and race have been implicated in the development of different congenital abnormalities. As orofacial clefting is the most common anomaly affecting the face, an understanding of its prevalence in the United States and its relationship with different determinants of health is paramount. Therefore, the purpose of this study is to determine the modern prevalence of oral-facial clefting in the United States and its association with different social determinants of health. Methods: Utilizing Epic Cosmos, data from approximately 180 US institutions were queried. Patients born between November 2012 and November 2022 were included. Eight orofacial clefting (OC) cohorts were identified. The Social Vulnerability Index (SVI) was used to assess social determinants of health. Results: Of the 15,697,366 patients identified, 31,216 were diagnosed with OC, resulting in a prevalence of 19.9 (95% CI: 19.7-20.1) per 10,000 live births. OC prevalence was highest among Asian (27.5 CI: 26.2-28.8) and Native American (32.8 CI: 30.4-35.2) patients and lowest among Black patients (12.96 CI: 12.5-13.4). Male and Hispanic patients exhibited higher OC prevalence than female and non-Hispanic patients. No significant differences were found among metropolitan (20.23/10,000), micropolitan (20.18/10,000), and rural populations (20.02/10,000). SVI data demonstrated that OC prevalence was positively associated with the percentage of the population below the poverty line and negatively associated with the proportion of minority language speakers. Conclusions: This study examined the largest US cohort of OC patients to date to define contemporary US prevalence, reporting a marginally higher rate than previous estimates. Multiple social determinants of health were found to be associated with OC prevalence, underscoring the importance of holistic prenatal care. These data may inform clinicians about screening and counseling of expectant families based on socio-economic factors and direct future research as it identifies potential risk factors and provides prevalence data, both of which are useful in addressing common questions related to screening and counseling.

Evaluating participant engagement in a preconception cohort study in relation to the Dobbs decision.

BACKGROUND: On June 24th, 2022, the United States (US) Supreme Court's ruling in Dobbs v. Jackson, et al. (hereafter, the Dobbs decision) removed federal-level protections for induced abortion, sparking concerns about reproductive rights and health privacy. Although other pregnancy outcomes (e.g. spontaneous abortion, ectopic pregnancy) are not explicit targets of post-Dobbs abortion bans, study participants may be worried about how their reproductive health data are used by researchers in the post-Dobbs era. OBJECTIVE: To evaluate the extent to which the Dobbs decision influenced participant's engagement in a preconception cohort study. METHODS: We leveraged data spanning 20 weeks before and after the Dobbs decision (4 February 2022, to 11 November 2022) from US participants in Pregnancy Study Online (PRESTO), an internet-based prospective preconception cohort study of couples attempting conception. We categorised participants' state-level abortion access by residential location: banned or restricted rights; limited access; and protected rights. We evaluated three participant engagement outcomes: follow-up questionnaire completion; report of a pregnancy; and clicking on the invitation link for a fertility-tracking app. We fit separate linear regression models and restricted cubic splines to compare outcome prevalence before and after the Dobbs decision by state-level abortion category. RESULTS: A total of 585 newly enrolled participants and 1247 already-enrolled participants received 2802 invitations to complete a follow-up questionnaire. In states with limited or protected abortion rights, we observed little change in participant engagement. In states with banned or restricted abortion rights, however, we observed a 27.12 percentage point reduction (95% confidence interval -43.68, -10.51) in the prevalence of clicking on the invitation link for the fertility-tracking app comparing the post- versus pre-Dobbs periods. CONCLUSIONS: There was some evidence of reduced participant engagement after the Dobbs decision in states with banned or restricted abortion rights, indicating potentially deleterious effects on the conduct of reproductive health studies.

Conditioning factors in the spreading of Covid-19 - Does geography matter?

There is evidence in literature that the spread of COVID-19 can be influenced by various geographic factors, including territorial features, climate, population density, socioeconomic conditions, and mobility. The objective of the paper is to provide an updated literature review on geographical studies analysing the factors which influenced COVID-19 spreading. This literature review took into account not only the geographical aspects but also the COVID-19-related outcomes (infections and deaths) allowing to discern the potential influencing role of the geographic factors per type of outcome. A total of 112 scientific articles were selected, reviewed and categorized according to subject area, aim, country/region of study, considered geographic and COVID-19 variables, spatial and temporal units of analysis, methodologies, and main findings. Our literature review showed that territorial features may have played a role in determining the uneven geography of COVID-19; for instance, a certain agreement was found regarding the direct relationship between urbanization degree and COVID-19 infections. For what concerns climatic factors, temperature was the variable that correlated the best with COVID-19 infections. Together with climatic factors, socio-demographic ones were extensively taken into account. Most of the analysed studies agreed that population density and human mobility had a significant and direct relationship with COVID-19 infections and deaths. The analysis of the different approaches used to investigate the role of geographic factors in the spreading of the COVID-19 pandemic revealed that the significance/representativeness of the outputs is influenced by the scale considered due to the great spatial variability of geographic aspects. In fact, a more robust and significant association between geographic factors and COVID-19 was found by studies conducted at subnational or local scale rather than at country scale.

Multidimensional energy poverty: A study of its measurement, decomposition, and determinants in Indonesia.

This study estimated Indonesian households' Multidimensional Energy Poverty Index (MEPI) using Alkire-Foster's multidimensional poverty concept to capture the incidence, intensity, decomposition, and changes over time. The study used monetary and non-monetary variables to identify the availability, accessibility, affordability, consumption, and deprivation of modern energy services; and compared existing affordability indicators. Redundancy, robustness, and sensitivity tests were conducted with three weighting schemes and deprivation cut-offs. The study decomposed and determined household-head (HH) socio-economic, demographic, and geographic factors for MEP using the Logit, Probit, Tobit, and Heckman Selection models. The results show that the low-income and high cost (LIHC) was the most robust affordability indicator, followed by the ten percent rule (TPR). The complement-frequency weighting scheme gave the smallest and most robust MEPI compared to equal and principal component analysis (PCA) weighting. Three alternative deprivation cut-offs can show households as "vulnerable," "moderately," or "severely" energy poor. The MEP incidence decreased, but its intensity remained high and increased. Energy-poor households were averagely deprived of 55-60 % of all weighted indicators. The lack of modern cooking services was the primary cause. MEPI differed by geographical location and HH gender, education, business field, and employment status. Policies that boost education levels, raise household income, and increase the availability, accessibility, and affordability of modern cooking technology in the rural, hinterland, or non-coastal forested locations in the eastern islands of Indonesia may minimize the number of households experiencing MEP.

Determinants of referral network size for screening colonoscopies in the Veterans Health Administration after the implementation of the MISSION Act.

OBJECTIVE: To measure key characteristics of the Veterans Health Administration's (VHA) Community Care (CC) referral network for screening colonoscopy and identify market and institutional factors associated with network size. DATA SOURCES: VHA electronic health records, CC claim data, and National Plan and Provider Enumeration System. STUDY DESIGN: In this retrospective cross-sectional study, we measure the size of the VHA's CC referral networks over time and by VHA parent facility (n = 137). We used a multivariable linear regression to identify factors associated with network size at the market-year level. Network size was measured as the number of physicians who performed at least one VHA-purchased screening colonoscopy per 1000 enrollees at baseline. DATA EXTRACTION: Data were extracted for all Veterans (n = 102,119) who underwent a screening colonoscopy purchased by the VHA from a non-VHA physician from 2018 to 2021. PRINCIPAL FINDINGS: From 2018 to 2021, median network volume of screening colonoscopies per 1000 enrollees grew from 1.6 (IQR: 0.6, 4.6) to 3.6 (IQR: 1.6, 6.6). The median network size grew from 0.63 (IQR: 0.30, 1.26) to 0.92 (IQR: 0.57, 1.63). Finally, the median procedures per physician increased from 2.5 (IQR: 1.6, 4.2) to 3.2 (IQR: 2.4, 4.7). After adjusting for baseline market characteristics, volume of screening colonoscopies was positively related to network size (ß = 0.15, 95% CI: [0.10, 0.20]), negatively related to procedures per physician (ß = -0.12, 95% CI: [-0.18, -0.05]), and positively associated with the percent of rural enrollees (ß = 0.01, 95% CI: [0.00, 0.01]). CONCLUSIONS: VHA facilities with a higher volume of VHA-purchased screening colonoscopies and more rural enrollees had more non-VHA physicians providing care. Geographic variation in referral networks may also explain differences in the effects of the MISSION Act on access to care and patient outcomes.

Dominant flood types in mountains catchments: Identification and change analysis for the landscape planning.

The classification of floods may be a supporting tool for decision-makers in regard to water management, including flood protection. The main objective of this work is the classification of flood generation mechanisms in 28 catchments of the upper Vistula basin. A significant innovation in this study lies in the utilization of decision trees for flood classification. The methodology has so far been applied in the Alpine region. The analysis reveals that peak daily precipitation in the catchments mainly occurs in summer, particularly from June to August. Maximal daily snowmelt typically happens at the end of winter (March to April) and occasionally in November. Winter peaks are observed in March to April and, in some areas, in November to December, while summer peaks occur in May and, in specific catchments, in October. Higher peak flows for annual floods are noted in March to April and June to August. Most annual floods in the Upper Vistula basin are classified as Rain-on-Snow Floods (RoSFs) or Lowland River Floods (LRFs). LRFs contribute from 19% to almost 72%, while RoSFs range from 18% to 75%. In Season 1 (summer), most seasonal floods are identified as LRFs (51%-100%), with very few as RoSFs (0%-46.9%). In Season 2 (winter), the opposite pattern is observed, with most RoSFs (48.4%-97.9%) and fewer LRFs (0%-20.6%). While there are changes in flood patterns, they are not statistically significant. Conducted studies and obtained results can be useful for the preparation of flood prevention documentation and for flood management in general.

Measuring changes in neighborhood disorder using Google Street View longitudinal imagery: a feasibility study.

Few studies have used longitudinal imagery of Google Street View (GSV) despite its potential for measuring changes in urban streetscapes characteristics relevant to health, such as neighborhood disorder. Neighborhood disorder has been previously associated with health outcomes. We conducted a feasibility study exploring image availability over time in the Philadelphia metropolitan region and describing changes in neighborhood disorder in this region between 2009, 2014, and 2019. Our team audited Street View images from 192 street segments in the Philadelphia Metropolitan Region. On each segment, we measured the number of images available through time, and for locations where imagery from more than one time point was available, we collected 8 neighborhood disorder indicators at 3 different times (up to 2009, up to 2014, and up to 2019). More than 70% of streets segments had at least one image. Neighborhood disorder increased between 2009 and 2019. Future studies should study the determinants of change of neighborhood disorder using longitudinal GSV imagery.

Geographic differences in the magnitude of black-white disparities in having obesity.

Background: Obesity disparities in the United States are well documented, but the limited body of research suggests that geographic factors may alter the magnitude of these disparities. A growing body of evidence has identified a "rural mortality penalty" where morbidity and mortality rates are higher in rural than urban areas, even after controlling for other factors. Black-White differences in health and mortality are more pronounced in rural areas than in urban areas. Objective: Therefore, the purpose of this study was to explore how rural-urban status and region moderate Black-White health disparities in obesity. Methods: Data were abstracted from the 2012 Behavioral Risk Factor Surveillance System, with the sample being restricted to Black and White respondents (n = 403,231). Respondents' county of residence was linked to US Census information to obtain the county-level Index of Relative Rurality (IRR) and Census division. Crude and adjusted logistic regression models were utilized to assess the magnitude of Black-White disparities in having obesity (yes/no) by IRR quartile and by Census division. Results: Overall, Black-White differences in obesity were wider in rural than in urban counties, with a significant linear trend (p < 0.001). Furthermore, when stratified by US Census division, results revealed that disparities were significantly wider in rural than urban areas for respondents living in the Middle Atlantic and South Atlantic divisions. In contrast, the association was reversed for the remaining divisions (New England, East North Central, West North Central, Mountain, and Pacific), where the magnitude of the Black-White difference was the largest in urban areas. Conclusion: Findings highlight the need to understand and account for critical place-based factors that exacerbate racial obesity disparities to develop and maximize the effectiveness of policies and programs designed to reduce racial inequalities and improve population health.

The Role of Distance from Home to Hospital on Parental Experience in the NICU: A Qualitative Study.

Prolonged admission to the neonatal intensive care unit presents challenges for families, especially those displaced far from home. Understanding specific barriers to parental engagement in the NICU is key to addressing these challenges with hospital-based interventions. The objective of this qualitative study was to explore the impact of distance from home to hospital on the engagement of parents of very preterm infants (VPT) in the neonatal intensive care unit (NICU). We used a grounded theory approach and conducted 13 qualitative interviews with parents of VPT who were admitted ≥14 days and resided ≥50 miles away using a semi-structured interview guide informed by the socio-ecological framework. We used constant comparative method with double coders for theme emergence. Our results highlight a multitude of facilitators and barriers to engagement. Facilitators included: (1) individual-delivery preparedness and social support; (2) environmental-medical team relationships; and (3) societal-access to perinatal care. Barriers included: (1) individual-transfer stressors, medical needs, mental health, and dependents; (2) environmental-NICU space, communication, and lack of technology; and (3) societal-lack of paid leave. NICU parents with geographic separation from home experienced a multitude of barriers to engagement, many of which could be addressed by hospital-based interventions.

Geographic Origin may Affect Outcomes for Hispanic Patients with Non-Small Cell Lung Cancer in the United States.

BACKGROUND: Social determinants of health thoroughly explored in the literature include insurance status, race, and ethnicity. There are over 50 million self-identifying Hispanics in the United States. This, however, represents a heterogeneous population. We used a national registry to investigate for significant differences in outcomes of Hispanic patients with non-small cell lung cancer (NSCLC) in the Unites states, by geographic region of origin. MATERIALS AND METHODS: We identified a cohort of Hispanic patients in the Unites states with NSCLC for which region of origin was documented within the 2004 to 2016 National Cancer Database (NCDB) registry. This included patients from Cuba, Puerto Rico, Mexico, South and Central America, and the Dominican Republic. We performed multivariate logistic regression modeling to determine whether origin was a significant predictor of cancer staging at diagnosis, adjusting for age, sex, histology, grade, insurance status, and facility type. Race was not included due to a nonsignificant association with stage at diagnosis at the bivariate level in this cohort. Subsequently, we used Kaplan-Meier modeling to identify whether overall survival (OS) of Hispanic patients differed by origin. RESULTS: A total of 12,557 Hispanic patients with NSCLC were included in this analysis. The breakdown by origin was as follows: n = 2071 (16.5%) Cuban, n = 2360 (18.8%) Puerto Rican, n = 4950 (39.4%) Mexican, n = 2329 (18.5%) from South or Central America, and n = 847 (6.7%) from the Dominican Republic. After controlling for age, sex, histology, grade, insurance status and treating facility type, we found that geographic origin was a significant predictor of advanced stage at diagnosis (P = .015). Compared to Cubans, patients of Puerto Rican origin were less likely to present with advanced disease (68.4% vs. 71.9%; OR: 0.82; 95%CI: 0.69-0.98; P = .026). We also identified a significant (log-rank P-value<.001) difference in OS by geographic origin, even at early-stages of diagnosis. Dominican patients with NSCLC exhibited the highest 5-year OS rate (63.3%), followed by patients from South/Central America (59.7%), Puerto Rico (52.3%), Mexico (45.9%), and Cuba (43.8%). CONCLUSION: This study showed that for Hispanic individuals living in the Unites states, region/country of origin is significantly associated with outcomes, even after accounting for other known determinants of health. We suggest that region of origin should be studied further as a potential determinant of outcomes in patients with cancer.

Food Security Among Syrian Refugee Families in Quebec, Canada.

This study aims to understand how socioeconomic, geographic and cultural factors affect the food security status of Syrian refugee households in Quebec, Canada. Using a mixed methods study design, 49 households were assessed for their food security and socioeconomic status, followed by structured interviews with 35 households and 9 service providers. 52% of refugee households were food insecure, and although not significantly different, food insecurity was higher among privately sponsored refugee households in the Montreal area. Food insecurity appears mainly due to food access issues. Syrian refugees possess agricultural and cooking skills that could be beneficial in promoting community food security.

Differences Between Right and Left Colon Cancer in Beira Interior.

Introduction Colorectal cancer (CRC) is the second most common cancer in Portugal and worldwide, with a high mortality rate, especially in more advanced stages. In recent decades, there has been a growing interest in the distinction between right colorectal carcinoma (RCC) and left colorectal carcinoma (LCC) due to the different presentation, treatment, and prognosis. Studies show that RCC and LCC have different clinical and biological characteristics, being considered two distinct entities. Material and methods This cross-sectional, descriptive, and comparative retrospective study included data collection at the three hospitals of Beira Interior - Centro Hospitalar Cova de Beira, Hospital Amato Lusitano, and Hospital Sousa Martins - over a 6-year period. Results The proportion of RCC cases was higher. The proportion of women was higher in the RCC group compared to the LCC (46.2%, 121/262 vs. 39%, 76/195). Anemia was statistically higher in the RCC group (p <0.01). On the other hand, intestinal occlusion tends to appear in patients with LCC (p <0.001). The most frequent surgery was elective. The proportion of emergency surgery was higher in the LCC group (LCC vs RCC: 27.2% vs 18.3%; p = 0.03). Discussion and conclusion In both the RCC and LCC groups, the male sex is the most frequently observed in Beira Interior and in Portugal, opposite from the world population, in which the female sex predominates in patients with RCC. The RCC presents alterations in bowel habits more often (p> 0.05). On the other hand, anemia is more common in RCC and intestinal occlusion in LCC, following the current literature. Conducting targeted studies and optimizing the screening and treatment processes are key to reducing mortality associated with CRC.

Accumulation characteristics, driving factors, and model prediction of cadmium in soil-highland barley system on the Tibetan Plateau.

Cadmium (Cd) poses major human health problems due to its high toxicity and organ bioaccumulation potential. This study collected and analysed 130 pairs of representative soil-highland barley samples on the Tibetan Plateau. The total soil Cd content (Cd-soil), available soil Cd (Cd-ava), and highland barley Cd contents (Cd-barley) ranged from 0.03 to 0.46 mg kg-1, 0.006-0.185 mg kg-1, and 0.57-13.62 µg kg-1, with mean values of 0.19 ± 0.01 mg kg-1, 0.045 ± 0.003 mg kg-1, and 4.57 ± 0.17 µg kg-1, respectively. Redundancy analysis (RDA) demonstrated that geographic factors and soil properties explained 28.46% of the variation in Cd-soil and Cd-ava, and precipitation (14.6%) and pH (9.1%) were the dominant factors. The structural equation model (SEM) indicated that Cd-soil and Cd-ava were predominantly controlled by pH. Furthermore, the Cd-soil, Cd-ava, and Cd-barley with significantly different environmental conditions were more accurately predicted by conditional inference trees-multiple linear regression (CITs-MLR). When Cd-soil is more than 0.376 mg kg-1, Cd-ava obtains the most accurate predictor (R2 =0.64, P < 0.01). This study provides new scientific insight into understanding the environmental biogeochemical nexus of Cd in the complex and fragile plateau environment and evaluating food security on the Tibetan Plateau under the self-sufficiency model of highland barley.

Multi-dimensional investigation and distribution characteristics analysis of gut microbiota of different marine fish in Fujian Province of China.

The gut microbiota plays an important role in animal health and behavior. In marine fish, the composition of the gut microbiota is affected by many complex factors, such as diet, species, and regional factors. Since more than one hundred fish species have been cultured in fish farms along with the 3,324 km coastline of Fujian Province in South China, we chose this region to study the gut microbiota composition of marine commercial fishes because sufficient different species, diets, and regional factors were observed. We investigated the distribution characteristics of the gut microbiota of seven cultured species (Epinephelus akaara, Epinephelus coioides, Epinephelus lanceolatus ♂ × Epinephelus fuscoguttatus ♀, Siganus fuscescens, Pagrus major, Lateolabrax japonicus, and Acanthopagrus schlegelii) living in the same aquatic region and one species (E. akaara) living separately in five regions separated by latitude. The impacts of diet, region, and species factors on fish gut microbiota were also evaluated. Diversity and multivariate analyses showed that the patterns of the microbiota were significantly different in different fish species within the same habitat and E. akaara with five latitude regions. Mantel analysis showed that AN, SiO3 2-, DO, and NO2 - were the principal factors affecting the microbial community of E. akaara in the five habitats. Additionally, similar distribution characteristics occurred in different gut parts of different fishes, with an increasing trend of Proteobacteria and Vibrionaceae abundance and a decreasing trend of Firmicutes and Bacillaceae abundance from the foregut to the hindgut. Vibrionaceae was the most abundant family in the content. This study highlights that a persistent core microbiota was established in marine commercial fishes spanning multiple scales. The factors with the greatest effect on fish gut microbiota may be (i) host genetics and (ii) geographic factors rather than the microbiota in the diet and water environment. These core microbes regularly colonized from the foregut to the hindgut, which was driven by their underlying functions, and they were well adapted to the gut environment. Moreover, the microbiota in the content may have contributed more to the gut microbial communities than previously reported. This study could complement basic data on the composition of marine commercial fishes and facilitate relatively complete investigations, which would be beneficial for the healthy and sustainable development of aquaculture.

Effects of Socioeconomic and Geographic Factors on Outcomes in Ewing Sarcoma: A National Cancer Database Review.

PURPOSE: Ewing sarcoma is a primary malignant bone tumor that manifests predominantly in the proximal long bones and pelvis and traditionally presents with nonspecific symptoms. This tumor preferentially affects children and young adults, occurring most often in patients of European descent. The most important established prognostic factor is the presence of metastasis at the time of diagnosis followed by primary site, size of the primary neoplasm, patient age, and lactate dehydrogenase (LDH) levels. To the authors' knowledge, this is the first study focused on the effects of socioeconomic and geographic factors on overall survival in Ewings sarcoma. METHODS: A total of 3,920 patients diagnosed with Ewing sarcoma were identified in the National Cancer Database (NCDB) using the International Classification of Diseases for Oncology, Third Edition (ICD-O-3) code 9260. Of these, 3,238 met the inclusion criteria and were analyzed. Descriptive statistics, Kaplan-Meier survival curves, and Cox regression tables were all performed using IBM SPSS Statistics for Windows, Version 27.0 (Released 2020; IBM Corp., Armonk, New York, United States). RESULTS: Univariate analysis showed greater mortality for patients of increasing age at the time of diagnosis, at two, five, and 10 years of follow-up, Black race patients at two years, Medicare insurance status at two years, urban or rural residence at two and 10 years, more advanced tumor stage at two and five years, and patients with a comorbidity score of ≥2 at two years. Multivariate analysis showed greater mortality at two years with increasing age, Black race, uninsured status, urban or rural residence, and increasing tumor stage. Mortality also increased for patients at five years of follow-up in patients with increasing age or more advanced tumor stage.  Conclusion: Patient mortality in the first two years after diagnosis is increased for patients of the Black race, those living in urban or rural areas, and for patients that are uninsured or using Medicare as their primary payor at the time of diagnosis. To improve patient outcomes, clinicians should recognize and address not only the unique biology of patients but also their unique challenges in access to healthcare. Patients and providers should work to elicit changes on an individual and community level to improve their personal health and the health of those around them.

The influence of geographical environment on the distribution of reference value of tumor marker CYFRA21-1 in Chinese healthy adults.

The perspectives of geography and medicine are integrated to analyze the influence of geographic factors on the reference value of tumor marker CYFRA21-1, and explore the spatial distribution of tumor marker CYFRA21-1 for healthy adults in China; CYFRA21-1 is a tumor marker for adults in different regions of China. The value of medical diagnosis provides a theoretical basis. Based on the measured values of the tumor marker CYFRA21-1 in 24,634 healthy adults in 314 cities, combined with 15 geographical factors, predictive modeling was carried out through spatial autocorrelation, correlation analysis, ridge regression analysis, and support vector machine, and the health of 2322 cities in China was predicted. The reference value of the tumor marker CYFRA21-1 for healthy adults in China was used to generate a geographical distribution map. The results showed that the distribution of reference values of the tumor marker CYFRA21-1 for healthy adults in China showed a higher trend in northern and northwestern areas, and a lower trend in southern areas. The reference value of tumor marker CYFRA21-1 has a certain concentration in the geographical distribution of China, and temperature, precipitation, wind speed, and soil factors will affect the reference value of CYFRA21-1 of healthy adults in China.

Treatment outcomes among rural and urban patients with obstructive sleep apnea: a prospective cohort study.

STUDY OBJECTIVES: To determine whether adherence to continuous positive airway pressure (CPAP) in adults with uncomplicated obstructive sleep apnea differs by rural vs urban residential address. METHODS: In this prospective cohort study, we recruited adults who initiated CPAP for uncomplicated obstructive sleep apnea that was diagnosed by a physician using sleep specialist-interpreted diagnostic testing. Participants were classified as urban (community size > 100,000) or rural (community size < 100,000) by translating residential postal code into geographic census area. The primary outcome was mean daily hours of CPAP use compared between rural and urban patients. Secondary outcomes included the proportion of patients who were adherent to CPAP, change in Epworth Sleepiness Scale score, change in EuroQOL-5D visual analog score, and Visit-Specific Satisfaction Instrument score. All outcomes were measured 3 months after CPAP initiation. RESULTS: We enrolled 242 patients (100 rural) with a mean (standard deviation) age of 51 (13) years and a respiratory event index of 24 (18) events/h. The mean (95% confidence interval) CPAP use was 3.19 (2.8-3.58) hours/night and 35% were CPAP-adherent, with no difference between urban and rural patients. Among the 65% of patients who were using CPAP at 3 months, the mean CPAP use was 4.89 (4.51-5.28) hours/night and was not different between rural and urban patients. Improvement in the Epworth Sleepiness Scale score and patient satisfaction was similar between groups, but the EuroQOL-5D score improved to a greater extent in rural patients. Urban or rural residence was not associated with CPAP adherence according to multivariable regression analysis. CONCLUSIONS: Rural vs urban residence was not associated with differences in CPAP adherence among patients with uncomplicated OSA diagnosed by a physician using specialist-interpreted sleep diagnostic testing. CITATION: Corrigan J, Tsai WH, Ip-Buting A, et al. Treatment outcomes among rural and urban patients with obstructive sleep apnea: a prospective cohort study. J Clin Sleep Med. 2022;18(4):1013-1020.

Geographic Factors Associated with Poorer Outcomes in Patients Diagnosed with COVID-19 in Primary Health Care.

Background: The prognosis of older age COVID-19 patients with comorbidities is associated with a more severe course and higher fatality rates but no analysis has yet included factors related to the geographical area/municipality in which the affected patients live, so the objective of this study was to analyse the prognosis of patients with COVID-19 in terms of sex, age, comorbidities, and geographic variables. Methods: A retrospective cohort of 6286 patients diagnosed with COVID-19 was analysed, considering demographic data, previous comorbidities and geographic variables. The main study variables were hospital admission, intensive care unit (ICU) admission and death due to worsening symptoms; and the secondary variables were sex, age, comorbidities and geographic variables (size of the area of residence, distance to the hospital and the driving time to the hospital). A comparison analysis and a multivariate Cox model were performed. Results: The multivariate Cox model showed that women had a better prognosis in any type of analysed prognosis. Most of the comorbidities studied were related to a poorer prognosis except for dementia, which is related to lower admissions and higher mortality. Suburban areas were associated with greater mortality and with less hospital or ICU admission. Distance to the hospital was also associated with hospital admission. Conclusions: Factors such as type of municipality and distance to hospital act as social health determinants. This fact must be taken account in order to stablish specifics prevention measures and treatment protocols.

Driving distances and loss to follow-up after hematopoietic cell transplantation.

In a recent multicenter analysis, long geographic distances predicted loss to follow-up (LTF) among allogeneic hematopoietic cell transplantation (HCT) survivors. We hypothesized that lower frequencies of patient interactions (including in-person appointments and telemedicine encounters) would predict LTF rather than long driving distances. However, in our retrospective single-center analysis of 263 HCT survivors, the only predictors of LTF were residence in the furthest driving-distance quartile and Medicaid insurance (but not annualized frequencies of patient interactions). Our findings suggest that telemedicine may not necessarily "rescue" long-distance HCT survivors from LTF. Other solutions, for example patient-specific partnerships with local providers, may be helpful.