2025
Metrics of Urbanicity and Rurality in US-Based Epidemiologic Studies of Ambient Temperature and Health: A Scoping Review
Johnson N, Del Favero-Campbell A, Nori-Sarma A, Amezcua-Smith A, Lewis B, Chen C, Lin C, Foo D, Byun G, Choi H, Kim H, Berman J, Son J, Warren J, Chen K, Burrows K, Fong K, Goldsmith L, Meadows M, Smith M, Stewart R, Heo S, Lin S, Ning X, Choi Y, Bell M, Deziel N. Metrics of Urbanicity and Rurality in US-Based Epidemiologic Studies of Ambient Temperature and Health: A Scoping Review. Current Environmental Health Reports 2025, 12: 30. PMID: 40830732, PMCID: PMC12364962, DOI: 10.1007/s40572-025-00494-7.Peer-Reviewed Original ResearchUrban-rural classificationRural-Urban Commuting Area codesEpidemiological studiesRural-Urban Continuum CodesHealth risk factorsUrban-rural differencesEnvironmental health risk factorBackgroundThe impactUS DepartmentContinuum CodesScoping ReviewUnited StatesArea codeIndependent reviewersUS CensusRural-urbanHealthRural areasRisk factorsUS-basedRuralMethodsUsing PubMedAdaptive capacityData sourcesMetrics of urbanization
2024
National age-specific mortality trends for cervical and breast cancers in urban–rural areas of China from 2009 to 2021: a population-based analysis
Li M, Qi J, Ma Y, Shu W, Xiao H, Wang L, Yin P, Guo H, Vermund S, Zhou M, Hu Y. National age-specific mortality trends for cervical and breast cancers in urban–rural areas of China from 2009 to 2021: a population-based analysis. Military Medical Research 2024, 11: 55. PMID: 39138529, PMCID: PMC11323448, DOI: 10.1186/s40779-024-00561-4.Peer-Reviewed Original ResearchConceptsAverage annual percent changeUrban-rural differencesMortality trendsRural areasNational Disease Surveillance Point SystemAge-specific mortality trendsBreast cancerDisease Surveillance Points systemAge groupsCancer control programsPromote health equityMortality rate ratiosAnnual percent changeRural-urban disparitiesRural-urban differencesRural areas of ChinaNegative binomial regression modelsUrban-rural areasTemporal trendsAge-specific mortalityPopulation-based analysisMortality rateBinomial regression modelsHealth equityJoinpoint modelsFactors Influencing the Spatial Variability of Air Temperature Urban Heat Island Intensity in Chinese Cities
Lyu H, Wang W, Zhang K, Cao C, Xiao W, Lee X. Factors Influencing the Spatial Variability of Air Temperature Urban Heat Island Intensity in Chinese Cities. Advances In Atmospheric Sciences 2024, 41: 817-829. DOI: 10.1007/s00376-023-3012-y.Peer-Reviewed Original ResearchAir temperature urban heat islandsUrban heat island intensitySpatial patternsSpatial variationClimate zonesHeat island intensityUrban climate modelsUrban heat islandClimate modelsClimate wetnessAnthropogenic heatHeat islandAttribution analysisVegetation influenceSpatial variabilitySemi-aridUrban landControlling factorsVegetation densityUrban clustersDominant contributorClimateConvective efficiencyUrban-rural differencesZone
2022
Impact of Social Vulnerability on Comorbid Cancer and Cardiovascular Disease Mortality in the United States
Ganatra S, Dani SS, Kumar A, Khan SU, Wadhera R, Neilan TG, Thavendiranathan P, Barac A, Hermann J, Leja M, Deswal A, Fradley M, Liu JE, Sadler D, Asnani A, Baldassarre LA, Gupta D, Yang E, Guha A, Brown SA, Stevens J, Hayek SS, Porter C, Kalra A, Baron SJ, Ky B, Virani SS, Kazi D, Nasir K, Nohria A. Impact of Social Vulnerability on Comorbid Cancer and Cardiovascular Disease Mortality in the United States. JACC CardioOncology 2022, 4: 326-337. PMID: 36213357, PMCID: PMC9537091, DOI: 10.1016/j.jaccao.2022.06.005.Peer-Reviewed Original ResearchAge-adjusted mortality ratesComorbid cancerCardiovascular diseaseCVD mortalityEpidemiologic Research databaseCardiovascular disease mortalityCross-sectional studyYears of agePublic health interventionsCounty-level mortality dataSignificant urban-rural differencesPrevention WideDisease mortalityResearch DatabaseDisease RegistryMortality rateGreater social vulnerabilityHigh mortalityHealth interventionsUrban-rural differencesCancerDisease controlMortalityMortality dataHighest relative increase
2020
Global Intake of Major Beverages in Adults by Country Wealth and Sociodemographic Characteristics: Analysis of the Global Dietary Database 2015
Castor L, Cudhea F, Shi P, Zhang J, Miller V, Reedy J, Puklin L, Karageorgou D, Webb P, Mozaffarian D, Micha R. Global Intake of Major Beverages in Adults by Country Wealth and Sociodemographic Characteristics: Analysis of the Global Dietary Database 2015. Current Developments In Nutrition 2020, 4: nzaa053_063. PMCID: PMC7258132, DOI: 10.1093/cdn/nzaa053_063.Peer-Reviewed Original ResearchSugar-sweetened beveragesIntake of sugar-sweetened beveragesLower-middle income countriesHigh-income countriesUrban-rural residenceLow-income countriesGlobal Dietary DatabaseHigher education levelEducation levelUrban residentsDietary databaseIndividual-level intakesUrban-rural differencesIndividual-level dataBeverage intakeSociodemographic characteristicsIntake dataCoffee intakeSubnational surveysTea intakeMean intakeIncome countriesAge groupsWealth categoriesResidents
2019
Prevalence and Patterns of Multimorbidity in a Nationally Representative Sample of Older Chinese: Results From the China Health and Retirement Longitudinal Study
Yao SS, Cao GY, Han L, Chen ZS, Huang ZT, Gong P, Hu Y, Xu B. Prevalence and Patterns of Multimorbidity in a Nationally Representative Sample of Older Chinese: Results From the China Health and Retirement Longitudinal Study. The Journals Of Gerontology Series A 2019, 75: 1974-1980. PMID: 31406983, DOI: 10.1093/gerona/glz185.Peer-Reviewed Original ResearchConceptsPatterns of multimorbidityPrevalence of multimorbidityMultimorbidity patternsRetirement Longitudinal StudyOlder ChineseChina HealthPopulation-based studyDemographic characteristicsIndividual chronic diseasesLongitudinal studyCommon multimorbidity patternsLogistic regression modelsParticipants' demographic characteristicsNationally Representative SampleEntire cohortPotential confoundersChronic diseasesRepresentative sampleMultimorbidityAlcohol consumptionMemory-related diseasesUrban-rural differencesPrevalenceInterventional implicationsResidential region
2016
Impact of universal health coverage on urban–rural inequity in psychiatric service utilisation for patients with first admission for psychosis: a 10-year nationwide population-based study in Taiwan
Chiang C, Chen P, Huang L, Kuo P, Tung Y, Liu C, Chen W. Impact of universal health coverage on urban–rural inequity in psychiatric service utilisation for patients with first admission for psychosis: a 10-year nationwide population-based study in Taiwan. BMJ Open 2016, 6: e010802. PMID: 26940114, PMCID: PMC4785302, DOI: 10.1136/bmjopen-2015-010802.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAmbulatory CareDatabases, FactualFemaleHealthcare DisparitiesHumansKaplan-Meier EstimateLogistic ModelsMaleMental Health ServicesMiddle AgedNational Health ProgramsPatient AdmissionPsychotic DisordersRetrospective StudiesRural PopulationTaiwanUniversal Health InsuranceUrban PopulationYoung AdultConceptsUniversal health coverageService utilisationUrban-rural residenceUrban-rural inequalitiesHealth coverageUrban patientsEmergency departmentImplementation of universal health coverageImpacts of universal health coverageNationwide population-based studyQuality of careTaiwan National Health Insurance Research DatabaseNational Health Insurance Research DatabaseRural-dwelling patientsHealth Insurance Research DatabasePopulation-based studyUrban-rural differencesPopulation coverage ratePsychiatric outpatient servicesMedical claims recordsNationwide cohort of patientsRisk of readmissionRural patientsUrban-rural gapPsychiatric readmission
2015
Are pregnant mothers satisfied with the quality of care provided by government antenatal clinics? Rural Sri Lankan experience
Karunaratne A, Dissanayake L, Bandara P, Dissanayake Y, Agampodi S. Are pregnant mothers satisfied with the quality of care provided by government antenatal clinics? Rural Sri Lankan experience. Anuradhapura Medical Journal 2015, 9: 11. DOI: 10.4038/amj.v9i2supp.7560.Peer-Reviewed Original ResearchGovernment antenatal clinicQuality of careAntenatal careAntenatal clinicPregnant womenPrevious clinic visitsLow maternal mortality rateMaternal mortality rateDomains of careLow monthly incomeInadequate toilet facilitiesHealth care deliveryClinic visitsLower socio-economical classMean agePregnant mothersConclusions ImprovementHome visitsMortality rateMaternal healthcare deliveryMaternal perceptionMedical careCare deliveryUrban-rural differencesStandard questionnaire
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