Biomaterial Database

Use of medications with potential oral adverse drug reactions in community-dwelling elderly. 1993

I K Lewis, and J T Hanlon, and M J Hobbins, and J D Beck

Department of Pharmacy Services, Veterans Affairs Medical Center, School of Pharmacy, University of North Carolina, Chapel Hill.

Prevalence and indicators of medication use with potential oral health implications among 4,163 people from the Duke Established Populations for Epidemiologic Studies of the Elderly were studied. Medications were grouped into seven potential oral adverse drug reaction (POADR) categories. Eighty percent of participants were taking at least one medication from any of the seven categories. Drugs with the potential to cause xerostomia were taken by 56.1%, abnormal hemostasis by 51.7%, soft tissue reactions by 23.4%, taste changes by 11.0%, alteration in host resistance by 8.7%, gingival overgrowth by 5.0%, and movement disorders by 2.4% of participants. Race-stratified analyses revealed that medication use with any POADR was significantly associated (p < 0.001) with being female for both races. Among nonblacks, being > or = 75 years old was associated with higher POADR use. Blacks who had a dental visit in the previous six months were more likely to take medications with POADR than those who did not. POADR medication use was not related to place of residence. Elderly often take medications with potential oral health impact.

UI	MeSH Term	Description	Entries
D007113	Immunity, Innate	The capacity of a normal organism to remain unaffected by microorganisms and their toxins. It results from the presence of naturally occurring ANTI-INFECTIVE AGENTS, constitutional factors such as BODY TEMPERATURE and immediate acting immune cells such as NATURAL KILLER CELLS.	Immunity, Native,Immunity, Natural,Immunity, Non-Specific,Resistance, Natural,Innate Immune Response,Innate Immunity,Immune Response, Innate,Immune Responses, Innate,Immunity, Non Specific,Innate Immune Responses,Native Immunity,Natural Immunity,Natural Resistance,Non-Specific Immunity
D007484	Iowa	State bounded on the north by Minnesota, on the east by Wisconsin and Illinois, on the south by Missouri, and on the west by Nebraska and South Dakota.
D008297	Male		Males
D008875	Middle Aged	An adult aged 45 - 64 years.	Middle Age
D009059	Mouth Diseases	Diseases involving the MOUTH.	Disease, Mouth,Diseases, Mouth,Mouth Disease
D009657	North Carolina	State bounded on the north by Virginia, on the east and Southeast by the Atlantic Ocean, on the south by Georgia and South Carolina, and on the west by Tennessee.
D001741	Black or African American	A person having origins in any of the black racial groups of Africa (https://www.federalregister.gov/documents/1997/10/30/97-28653/revisions-to-the-standards-for-the classification-of-federal-data-on-race-and-ethnicity). In the United States it is used for classification of federal government data on race and ethnicity. Race and ethnicity terms are self-identified social construct and may include terms outdated and offensive in MeSH to assist users who are interested in retrieving comprehensive search results for studies such as in longitudinal studies.	African American,African Americans,African-American,Afro-American,Afro-Americans,Black Americans,Blacks,Negroes,African-Americans,Negro,Afro American,Afro Americans,American, African,American, Black,Black American
D001778	Blood Coagulation Disorders	Hemorrhagic and thrombotic disorders that occur as a consequence of abnormalities in blood coagulation due to a variety of factors such as COAGULATION PROTEIN DISORDERS; BLOOD PLATELET DISORDERS; BLOOD PROTEIN DISORDERS or nutritional conditions.	Coagulation Disorders, Blood,Disorders, Blood Coagulation,Blood Coagulation Disorder,Coagulation Disorder, Blood,Disorder, Blood Coagulation
D003430	Cross-Sectional Studies	Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time.	Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D004363	Drug Utilization	The utilization of drugs as reported in individual hospital studies, FDA studies, marketing, or consumption, etc. This includes drug stockpiling, and patient drug profiles.	Utilization, Drug,Drug Utilizations,Utilizations, Drug