| Literature DB >> 29368641 |
Shoichi Masumoto1,2, Mikiya Sato3,4, Takami Maeno5, Yumiko Ichinohe3, Tetsuhiro Maeno5.
Abstract
BACKGROUND: The use of dietary supplements and over-the-counter (OTC) drugs is increasing, and there is adequate concern about potential harmful effects. However, there are limited reports on the concurrent use of nonprescription medications with prescription medications in elderly patients. Therefore, this study was conducted to describe the use of dietary supplements and OTC drugs, and to identify predictors for their use in elderly patients using medications prescribed for chronic diseases.Entities:
Keywords: Dietary supplements; Elderly; Nonprescription medications; Over-the-counter drugs; Polypharmacy
Mesh:
Substances:
Year: 2018 PMID: 29368641 PMCID: PMC5784694 DOI: 10.1186/s12875-017-0699-9
Source DB: PubMed Journal: BMC Fam Pract ISSN: 1471-2296 Impact factor: 2.497
Characteristics of the Study Population
| Characteristics | Total ( |
|---|---|
| Age, mean ± SD | 75.6 ± 7.5 |
| Sex, n (%) | |
| Male | 353 (48.4) |
| Female | 376 (51.6) |
| Drug prescriptions per patient, median (IQR) | 4 (2–6) |
| Charlson comorbidity index, median (IQR) | 1 (0–1) |
| Smoking status, n (%) | |
| Current smoker | 70 (9.6) |
| Past smoker | 285 (39.3) |
| Never smoker | 371 (51.1) |
| Regular drinker, n (%) | 238 (32.8) |
| Lives alone, n (%) | 187 (26.3) |
| Economic status, n (%) | |
| Less than average | 122 (17.1) |
| Average | 442 (62.0) |
| More than average | 149 (20.9) |
| Educational qualification, n (%) | |
| ≦High school | 282 (40.3) |
| > High school | 417 (59.7) |
| Anxiety by HADS, n (%) | 106 (16.1) |
| Depression by HADS, n (%) | 154 (23.1) |
Missing values were omitted from percentage calculation
SD Standard deviation, IQR Interquartile range, HADS Hospital Anxiety and Depression Scale
Underlying Medical Conditions of Patients
| Underlying medical conditions | n (%) |
|---|---|
| Hypertension | 525 (72.0) |
| Hyperlipidemia | 374 (51.3) |
| Chronic Kidney Disease (eGFR < 50 mL/min/1.73m2) | 153 (21.0) |
| Diabetes mellitus | 150 (20.6) |
| Hyperuricemia/gout | 138 (18.9) |
| Cerebrovascular disease | 130 (17.8) |
| Respiratory disease (Bronchial Asthma, COPD) | 86 (11.8) |
| Gastric ulcer | 94 (12.9) |
| Dementia | 57 (7.8) |
| Cardiovascular disease | 51 (7.0) |
| Liver disease | 39 (5.3) |
COPD Chronic Obstructive Pulmonary Disease
Frequency of nonprescription medication use and details (n = 237)
| Nonprescription medications | n (%) |
|---|---|
| Dietary supplements | 204 (28.0) |
| Vitamin/minerals | 48 (6.6) |
| Calcium | 16 (2.2) |
| Vitamin C | 12 (1.6) |
| Vitamin E | 4 (0.5) |
| Any vitamin B | 21 (2.9) |
| Chondroitin-glucosamine | 29 (4.0) |
| Omega-3 fatty acids | 9 (1.2) |
| Zinc | 5 (0.7) |
| | 30 (4.1) |
| Coenzyme Q-10 | 3 (0.4) |
| Probiotics | 8 (1.1) |
| Sesamin | 12 (1.6) |
| Garlic | 10 (1.4) |
| Hyaluronic acid/Collagen | 15 (2.1) |
| Propolis/Royal Jerry | 13 (1.8) |
| Vinegar | 5 (0.7) |
| Blueberry, Carotenoids | 13 (1.8) |
| Amino acids, Proteins | 6 (0.8) |
| Combined natural products | 24 (3.3) |
| Enzymes | 9 (1.2) |
| Others | 11 (1.5) |
| OTCs | 66 (9.1) |
| Digestives | 27 (3.7) |
| Laxative | 14 (1.9) |
| Analgesics | 5 (0.7) |
| Antihistamines | 3 (0.4) |
| Herbal medicines | 26 (3.6) |
| Not reported | 39 (5.3) |
Association between each variable and the use of nonprescription medications by univariate analysis
| Variables | Nonprescription medication use | ||
|---|---|---|---|
| Yes: n, (%) | No: n, (%) | ||
| Sex | 0.013 | ||
| Male | 99 (28.0) | 254 (72.0) | |
| Female | 138 (36.7) | 238 (63.3) | |
| Age | 0.030 | ||
| < 75 | 133 (36.2) | 234 (63.8) | |
| ≧75 | 104 (28.7) | 258 (71.3) | |
| Number of prescription medications | 0.454 | ||
| ≦4 | 148 (33.6) | 293 (66.4) | |
| ≧5 | 89 (30.9) | 199 (69.1) | |
| CCI | 0.312 | ||
| 0–1 | 184 (33.5) | 365 (66.5) | |
| ≧2 | 53 (29.4) | 127 (70.6) | |
| Smoking status | 0.017 | ||
| Current smoker | 16 (22.9) | 54 (77.1) | |
| Past smoker | 83 (29.1) | 202 (70.9) | |
| Never smoker | 138 (37.2) | 233 (62.8) | |
| Drinking habit | 0.951 | ||
| Regular drinker | 77 (32.4) | 161 (67.6) | |
| Non drinker | 159 (32.6) | 329 (67.4) | |
| Family member | 0.376 | ||
| Lives alone | 65 (34.8) | 122 (65.2) | |
| Lives with other family members | 164 (31.2) | 361 (68.8) | |
| Economic status | 0.002 | ||
| Less than average | 34 (27.9) | 88 (72.1) | |
| Average | 133 (30.1) | 309 (69.9) | |
| More than average | 67 (45.0) | 82 (55.0) | |
| Educational qualification | 0.003 | ||
| ≦High school | 76 (27.0) | 206 (73.0) | |
| > High school | 157 (37.6) | 260 (62.4) | |
| Anxiety by HADS | 0.508 | ||
| ≦7 | 180 (32.5) | 373 (67.5) | |
| ≧8 | 38 (35.8) | 68 (64.2) | |
| Depression by HADS | 0.484 | ||
| ≦7 | 168 (32.7) | 346 (67.3) | |
| ≧8 | 55 (35.7) | 99 (64.3) | |
Missing values were omitted from percentage calculation
CCI Charlson Comorbidity Index, HADS Hospital Anxiety and Depression Scale
Factors associated with the use of nonprescription medications by logistic regression analysis (n = 623)
| Variables | Univariate | Multivariate | |
|---|---|---|---|
| Crude OR | Adjusted OR | ||
| Female sex | 1.47 (1.08–2.02) | 1.58 (1.03–2.41) | 0.036 |
| Age≧75 | 0.72 (0.52–0.98) | 0.78 (0.55–1.11) | 0.171 |
| Education > high school | 1.68 (1.21–2.34) | 1.70 (1.16–2.49) | 0.007 |
| Economic status (ref. = average) | |||
| Less than average | 1.09 (0.70–1.70) | 1.20 (0.72–1.99) | 0.484 |
| More than average | 1.89 (1.30–2.77) | 1.62 (1.07–2.43) | 0.021 |
| Never smoker | 1.48 (1.08–2.03) | 1.23 (0.81–1.88) | 0.330 |
| Anxiety by HADS | 1.17 (0.76–1.80) | 1.27 (0.77–2.10) | 0.350 |
| Depression by HADS | 1.05 (0.72–1.54) | 1.23 (0.79–1.91) | 0.367 |
HADS0 Hospital Anxiety and Depression Scale