Literature DB >> 3794145

Medication use characteristics in the elderly: the Iowa 65+ Rural Health Study.

D K Helling, J H Lemke, T P Semla, R B Wallace, D P Lipson, J Cornoni-Huntley.   

Abstract

Medication use was studied in a rural, elderly population. Household interviews were conducted of 3,467 individuals aged 65 years or older. A total of 9,955 prescription or nonprescription drugs were reported by the respondents. The overall mean number of drugs per respondent was 2.87, while 12% of all respondents were not taking any drugs. Mean prescription and overall drug use increased significantly with increasing age (P less than .001), while mean nonprescription drug use was relatively constant across age groups. Significantly more women were prescription and nonprescription drug users. Directions for scheduled daily dosing accounted for 75% of all directions. The majority of prescription and nonprescription drugs had been taken on the previous day. General practitioners accounted for more prescription drugs (39.7%) than any other medical specialty. The most frequently stated purpose was cardiovascular for prescription drugs and musculoskeletal for nonprescription drugs. The three most frequent prescription drug therapeutic categories were cardiovascular (54.7%), central nervous system (CNS) agents (11.4%), and analgesics (9.4%). For nonprescription drugs, the three most frequent therapeutic categories were analgesics (39.6%), vitamins and minerals (32.9%), and laxatives (14.1%). Implications of these findings are discussed.

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Year:  1987        PMID: 3794145     DOI: 10.1111/j.1532-5415.1987.tb01312.x

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


  24 in total

1.  Congruence of medication information from a brown bag data collection and pharmacy records: findings from the Seattle longitudinal study.

Authors:  Grace I L Caskie; Sherry L Willis; K Warner Schaie; Faika A K Zanjani
Journal:  Exp Aging Res       Date:  2006 Jan-Mar       Impact factor: 1.645

2.  Prescribing of schedule II pain medications in ambulatory medical care settings.

Authors:  L A Rose; B M Devellis; G Howard; E Mutran
Journal:  Ann Behav Med       Date:  1996-09

3.  Controlled study of the impact of educational home visits by pharmacists to high-risk older patients.

Authors:  V W Sidel; J L Beizer; D Lisi-Fazio; K Kleinmann; J Wenston; C Thomas; H R Kelman
Journal:  J Community Health       Date:  1990-06

Review 4.  Prevalence of self-medication and associated factors in an elderly population: a systematic review.

Authors:  Javier Jerez-Roig; Lucas F B Medeiros; Victor A B Silva; Camila L P A M Bezerra; Leandro A R Cavalcante; Grasiela Piuvezam; Dyego L B Souza
Journal:  Drugs Aging       Date:  2014-12       Impact factor: 3.923

Review 5.  Switching drug availability from prescription only to over-the-counter status. Are elderly patients at increased risk?

Authors:  S I Benrimoj; J H Langford; M G Bowden; E J Triggs
Journal:  Drugs Aging       Date:  1995-10       Impact factor: 3.923

Review 6.  The effects of opioids and opioid analogs on animal and human endocrine systems.

Authors:  Cassidy Vuong; Stan H M Van Uum; Laura E O'Dell; Kabirullah Lutfy; Theodore C Friedman
Journal:  Endocr Rev       Date:  2009-11-10       Impact factor: 19.871

7.  Congruence of self-reported medications with pharmacy prescription records in low-income older adults.

Authors:  Grace I L Caskie; Sherry L Willis
Journal:  Gerontologist       Date:  2004-04

8.  A study of medication-taking and unobtrusive, intelligent reminding.

Authors:  Tamara L Hayes; Kofi Cobbinah; Terry Dishongh; Jeffrey A Kaye; Janna Kimel; Michael Labhard; Todd Leen; Jay Lundell; Umut Ozertem; Misha Pavel; Matthai Philipose; Kevin Rhodes; Sengul Vurgun
Journal:  Telemed J E Health       Date:  2009-10       Impact factor: 3.536

9.  Drug use in a geriatric long-term care setting: comparison between newly admitted and institutionalised patients.

Authors:  Zeev Arinzon; Alexander Peisakh; Aneta Zuta; Yitshal N Berner
Journal:  Drugs Aging       Date:  2006       Impact factor: 3.923

10.  Drug consumption during the last decade among persons born in 1902 in Umeå, Sweden. A longitudinal population study.

Authors:  P O Osterlind; G Bucht
Journal:  Drugs Aging       Date:  1991 Nov-Dec       Impact factor: 3.923

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