{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Smith BJ"],"funding":["NIDA NIH HHS","NIDDK NIH HHS","NHLBI NIH HHS","NCI NIH HHS","National Institutes of Health","NIH HHS","National Science Foundation"],"pagination":["939-952"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12354331"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["32(6)"],"pubmed_abstract":["<h4>Background</h4>Examine the role of income, perceived healthy foods availability, and consumption as mediators of rural-urban health disparities.<h4>Method</h4>Pre-registered simple mediation models with post hoc multi-mediator models were tested using national- and state-level survey data. Oregon data was collected in an online Qualtrics survey between October 8 and November 9, 2021 using CloudResearch; Health Information National Trends Survey (HINTS) 5, a nationally representative dataset, was collected over 4 cycles from 2017 to 2020. Oregon residents (n = 771; rural = 313, urban = 458) self-reported online: income, perceived fruits and vegetable (FV) availability, FV consumption, and BMI measures (height, weight). HINTS respondents (rural n = 1235; urban n = 13,912) self-reported the same variables of interest without FV availability, and with an additional self-rated health variable detailed below.  RESULTS: The effect of rurality on BMI (b = 0.012, SE = 0.005, p = 0.01) and self-rated health (b = 0.003, SE = 0.001, p = 0.008) when combining datasets was mediated by a series of income, perceived FV availability, and FV consumption.<h4>Conclusion</h4>To address rural-urban health disparities, individual (cognition, behavior), social (household income), and community (healthy food availability) factors should be targeted together."],"journal":["International journal of behavioral medicine"],"pubmed_title":["Income, Healthy Food Availability, and Consumption Mediate Rural-Urban Health Disparities."],"pmcid":["PMC12354331"],"funding_grant_id":["R01 DK128575","R01 CA240452","P50 DA048756","BCS2220295","DA048756","R01 HL158555","R01HL158555","CA240452","R01 CA211224","R01DK128575","CA211224"],"pubmed_authors":["Tomiyama AJ","Mantell B","Berkman ET","John DH","Smith BJ"],"additional_accession":[]},"is_claimable":false,"name":"Income, Healthy Food Availability, and Consumption Mediate Rural-Urban Health Disparities.","description":"<h4>Background</h4>Examine the role of income, perceived healthy foods availability, and consumption as mediators of rural-urban health disparities.<h4>Method</h4>Pre-registered simple mediation models with post hoc multi-mediator models were tested using national- and state-level survey data. Oregon data was collected in an online Qualtrics survey between October 8 and November 9, 2021 using CloudResearch; Health Information National Trends Survey (HINTS) 5, a nationally representative dataset, was collected over 4 cycles from 2017 to 2020. Oregon residents (n = 771; rural = 313, urban = 458) self-reported online: income, perceived fruits and vegetable (FV) availability, FV consumption, and BMI measures (height, weight). HINTS respondents (rural n = 1235; urban n = 13,912) self-reported the same variables of interest without FV availability, and with an additional self-rated health variable detailed below.  RESULTS: The effect of rurality on BMI (b = 0.012, SE = 0.005, p = 0.01) and self-rated health (b = 0.003, SE = 0.001, p = 0.008) when combining datasets was mediated by a series of income, perceived FV availability, and FV consumption.<h4>Conclusion</h4>To address rural-urban health disparities, individual (cognition, behavior), social (household income), and community (healthy food availability) factors should be targeted together.","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Dec","modification":"2026-06-15T06:11:55.161Z","creation":"2026-06-15T03:08:31.638Z"},"accession":"S-EPMC12354331","cross_references":{"pubmed":["40295464"],"doi":["10.1007/s12529-025-10362-1"]}}