| Literature DB >> 28187744 |
Tania Pannu1, Sarah Sharkey1, Grazyna Burek1, Daniela Cretu1, Michael D Hill1,2,3, David B Hogan3,4, Marc J Poulin5,6,7,8.
Abstract
BACKGROUND: Over the past 50 years, there has been an increase in the utilization of prescribed, over-the-counter (OTC) medications, and natural health products. Although it is known that medication use is common among older persons, accurate data on the patterns of use, including the quantity and type of medications consumed in a generally healthy older population from a Canadian perspective are lacking. In this study, we study the pattern of medication use in a sedentary but otherwise healthy older persons use and determined if there was an association between medication use and aerobic fitness level.Entities:
Keywords: Geriatrics; Natural Health Products; Polypharmacy; Prescription drugs
Mesh:
Substances:
Year: 2017 PMID: 28187744 PMCID: PMC5303244 DOI: 10.1186/s12906-017-1595-5
Source DB: PubMed Journal: BMC Complement Altern Med ISSN: 1472-6882 Impact factor: 3.659
Fig. 1Flow chart outlining the phases of the BIM study. Medication use was obtained at the time of baseline assessment (Pre-intervention Phase 1A)
Baseline characteristics of subjects enrolled in the Brain in Motion study
| Demographics | Number of subjects ( |
|---|---|
| Average age ± SD | 65.9 ± 6.5 |
| % (number) female sex | 54.6% (148) |
| Average number of years of education ± SD | 15.9 ± 2.7 |
| Total % (number) of participants consuming 1+ prescribed medication at baseline | 75.3% (204) |
| Total % (number) of participants consuming 1+ natural health product at baseline | 81.5% (220) |
| Total % (number) of participants consuming 1+ over-the-counter medication at baseline | 64.2% (174) |
Baseline prescribed medication use among participants (N = 271) enrolled in the Brain in Motion study (listed alphabetically)
| Prescribed medications | % total participants (number) |
|---|---|
| Drugs used for diabetes | 4.4% (12) |
| Anticonvulsant | 3.0% (8) |
| Antihypertensive/ cardiovascular agents | |
| bACE Inhibitor | 8.9% (24) |
| Angiotensin Receptor blocker | 12.5 (34) |
| Beta blocker | 3.7% (10) |
| Calcium Channel blocker | 10.0% (27) |
| Diuretic | 14.0% (38) |
| Analgesic | |
| b,aNSAID | 12.2% (33) |
| Opioid Analgesic | 3.3% (9) |
| Antidepressant | 14.4% (39) |
| Benign Prostrate Hyperplasia Agent | |
| Alpha blocker | 2.6% (7) |
| Cholesterol lowering agent | |
| bHMG-CoA reductase inhibitors (Statins) | 19.2% (52) |
| Hormonal agent | |
| Estrogen | 9.2% (25) |
| Corticosteroid | 7.4% (20) |
| Progesterone | 2.6% (7) |
| Thyroxine | 17.0% (46) |
| Proton Pump Inhibitor | 7.4% (20) |
| Sleep aids | |
| Melatonin Receptor Agonist | 3.3% (9) |
| Sedatives | 12.2% (33) |
| Other | |
| Antispasmodic | 3.3% (9) |
| Bisphosphonate | 7.0% (19) |
| Prostaglandin | 5.9% (16) |
| Other | 24.7% (67) |
| None | 24.7% (67) |
b ACE Angiotensin Converting Enzyme
NSAID Non-Steroidal Anti-Inflammatory Drug
HMG-CoA 3-Hydroxy-3-Methyl-Glutaryl-CoA
aThese include only prescribed NSAIDs
Baseline supplement, natural produce and over-the-counter medication use among participants (N = 271) enrolled in the brain in motion study
| Natural health products | % Total participants (number) | Over-the-counter medication | % Total participants (number) |
|---|---|---|---|
| Antioxidants | 4.8% (13) | Analgesic | 29.9% (81) |
| Coenzyme Q10 | 7.0% (19) | Antihistamine | 4.8% (13) |
| Digestive Enzymes | 2.2% (6) | Laxative | 3.3% (9) |
| Ginkgo | 2.6% (7) | Muscle Relaxant | 2.2% (6) |
| Ginseng | 2.2% (6) | NSAID | 30.3% (82) |
| Glucosamine | 18.8% (51) | Sedative | 1.8% (5) |
| Lutein | 7.5% (20) | Other | 10.0% (27) |
| Melatonin | 1.8% (5) | None | 35.8% (97) |
| Minerals | |||
| Calcium | 27.7% (75) | ||
| Other (e.g. magnesium, zinc) | 16.6% (45) | ||
| Multi-vitamins | 33.9% (92) | ||
| Omega 3 | 37.6% (102) | ||
| Plant Oil | 4.1% (11) | ||
| Probiotics | 4.4% (12) | ||
| Vitamins | |||
| Vitamin D* | 74.2% (201) | ||
| Vitamin C | 15.9% (43) | ||
| Vitamin E | 7.7% (21) | ||
| B-complex | 18.1% (49) | ||
| Other (e.g. A, K) | 1.8% (5) | ||
| Other | 32.5% (88) | ||
| None | 45.8% (124) | ||
*Includes 180 unique participants taking a vitamin D supplement and 21 taking multivitamins not on a separate vitamin D supplement
Vitamin D analysis in 201 participants on Vitamin D supplements. This analysis does not include dietary intake
| Vitamin D analysis, | |
|---|---|
| Recommended intake (IU)* | 800 |
| Average intake (IU) | 1896.3 |
| Median intake (IU) | 1400 |
| Minimum dosage (IU) | 200 |
| Maximum dosage (IU) | 12000 |
| % of subjects taking > 800 IU (n) | 79.1 (159) |
| % of subjects taking ≥ 2000 IU (n) | 41.8 (84) |
| % of subjects taking ≥ 4000 IU (n) | 9.5 (19) |
* IU International Units
Number (%) of people taking prescribed medications according to the age group and number of medications per person (N = 271)
| Number of prescribed medications | Age group | ||
|---|---|---|---|
| ≤65 ( | >65( |
| |
| 0 | 30.7 (39) | 19.4 (28) | 0.019 |
| 1 | 22.8 (29) | 22.2 (32) | |
| 2 | 20.5 (26) | 20.8 (30) | |
| 3 | 14.2 (18) | 13.2 (19) | |
| 4 | 7.9 (10) | 8.3 (12) | |
| 5 or more | 3.9 (5) | 16.0 (23) | |
*Fisher’s exact test
Physical fitness analysis using VO2max levels in 261 participants consuming OTC and prescription medication
| Medication Count | All Participants | Female | Male | ||||||
|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
|
|
|
|
|
| |
| 0 | 57 | 28.36(6.02)* | - | 24 | 24.59(5.17) | - | 33 | 31.10(5.08) | - |
| 1 | 65 | 27.23(5.63)* | >0.05a | 35 | 24.6(4.94) | >0.05a | 30 | 30.30(4.82) | >0.05a |
| 2 | 53 | 25.28(4.69) | 0.03b | 29 | 23.55(4.04) | 0.04b | 24 | 27.36(4.63) | 0.04b |
| >3 | 86 | 23.72(4.36)* | <0.001c | 53 | 22.26(3.67) | 0.005c | 33 | 26.06(4.40) | <0.001c |
Sex difference: *P < 0.05
N Number of participants in each category
P-values: adifference between 0 medication and >3 medications; bdifference between 1 medication and >3medications; cdifference between 2 medications and >3 medications