| Literature DB >> 32991612 |
Yanjie Sun1, Rongying Wang1, Weiwei Tang2,3,4, Chao Li5, Nan Huo6.
Abstract
BACKGROUND: The potential effects of botanical dietary supplements (BDS) in the treatment of asthma have been proposed. However, the evidence of the effects of BDS use among patients with COPD is limited. The objective of our study was to exam the trends and effects of BDS use among US adults with COPD.Entities:
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Year: 2020 PMID: 32991612 PMCID: PMC7523968 DOI: 10.1371/journal.pone.0239674
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Trends in the current use of any Botanical Dietary Supplements (BDS) among patients with COPD in the United States (weighted = 232,741,893).
Sample characteristics for U.S. Adults with COPD and adjusted odds ratios of associations with Botanical Dietary Supplements (BDS) use among adult COPD patients (N = 2,580, weighted n = 103,484,187).
| COPD Patients | Likelihood of Using BDS | |||||
|---|---|---|---|---|---|---|
| Variable | BDS Users N (%) | BDS Non-users N (%) | P* | AOR (95% CI) | ||
| N = 374 | Weighted % (17.19) | N = 2206 | Weighted % (82.81) | |||
| 0.3554 | ||||||
| ≤39 | 78 | 25.56 | 437 | 23.30 | ||
| 40–64 | 167 | 50.88 | 971 | 49.05 | ||
| ≥65 | 129 | 23.56 | 798 | 27.65 | ||
| 0.2044 | ||||||
| Male | 128 | 31.08 | 818 | 35.26 | ||
| Female | 246 | 68.92 | 1388 | 64.74 | ||
| Non-Hispanic White | 265 | 84.69 | 1310 | 77.76 | 1.42 (0.98–2.08) | |
| Others | 109 | 15.31 | 896 | 22.24 | ref | |
| 0.8555 | ||||||
| Unemployed/unknown | 23 | 5.70 | 147 | 6.06 | ||
| Employed | 351 | 94.30 | 2059 | 93.94 | ||
| 0.7471 | ||||||
| Never married | 33 | 9.86 | 274 | 12.37 | ||
| Married | 191 | 49.02 | 967 | 48.18 | ||
| Widowed or divorced | 116 | 28.36 | 680 | 26.35 | ||
| Unknown/inapplicable | 34 | 12.75 | 285 | 13.10 | ||
| <100% FPL | 40 | 7.33 | 575 | 21.81 | ref | |
| 100–200% FPL | 102 | 22.69 | 661 | 26.77 | ||
| 200–400% FPL | 105 | 30.73 | 476 | 26.02 | ||
| >400% FPL | 105 | 32.24 | 306 | 19.20 | ||
| Unknown | 22 | 7.01 | 188 | 6.20 | ||
| High school | 137 | 31.84 | 1294 | 53.10 | ref | |
| Some college | 141 | 39.75 | 630 | 30.81 | ||
| Bachelor’s degree | 96 | 28.41 | 282 | 16.09 | ||
| No | 52 | 14.60 | 351 | 16.11 | ref | |
| Yes | 322 | 85.40 | 1855 | 83.89 | 0.89 (0.59–1.35) | |
| Non-Smoker | 146 | 38.44 | 717 | 32.44 | ref | |
| Current Smoker | 228 | 61.56 | 1489 | 67.56 | 0.94 (0.70–1.27) | |
| | 113 | 28.83 | 566 | 26.66 | ref | |
| | 111 | 34.31 | 582 | 27.61 | 1.12 (0.78–1.59) | |
| | 78 | 22.11 | 485 | 22.43 | 0.93 (0.60–1.43) | |
| | 72 | 14.75 | 573 | 23.30 | 0.66 (0.40–1.09) | |
| | 51 | 16.26 | 231 | 11.23 | ref | |
| | 185 | 52.55 | 1007 | 48.61 | 0.76 (0.53–1.11) | |
| | 138 | 31.19 | 968 | 40.16 | 0.69 (0.43–1.10) | |
1Weighted percent
*Chi-square test significant at P<0.05
^All covariance variables that had Chi-square test P≥0.05 or small cell size (<20) were removed from the multivariable logistic regression models; adjusted odds ratios (AOR) and 95% confidence intervals (CI) were reported
* Other Health Conditions included 26 other health conditions excluding COPD
Associations between use of botanical dietary supplements with COPD clinical outcomes among adult COPD patients.
| Adults COPD Patients | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Variable | Having hospitalization in last 12 months N (%) | AOR (95% CI) | Low Hemoglobin N (%) | AOR (95% CI) | |||||
| BDS Users | Yes | No | P* | Yes | No | Unknown* | P* | ||
| | 65 (16.87) | 309 (83.13) | 67 (14.78) | 288 (80.99) | 19 (4.23) | ||||
| | 601 (24.01) | 1605 (75.99) | ref | 503 (18.10) | 1490 (73.50) | 213 (8.40) | ref | ||
^Other covariance variables had Chi-square less than 0.05 were collected into the multivariable logistic regression models; adjusted odds ratios (AOR) and 95% confidence intervals (CI) were reported
1Weighted percent.
*Chi-square
*Covariance variables in both hospitalizations and Hemoglobin level included sex, race, age, region, marital status, family income, prescription number, other health conditions.
*Hemoglobin level with missing were excluded from the multivariable logistic regression models.