| Literature DB >> 26170878 |
Chun-Chuan Shih1, Lu-Hsiang Huang2, Hsin-Long Lane3, Chin-Chuan Tsai3, Jaung-Geng Lin4, Ta-Liang Chen5, Chun-Chieh Yeh6, Chien-Chang Liao7.
Abstract
Background. This study investigates the prevalence of and factors associated with users of folk therapy in Taiwan. Methods. Using data from the 2005 National Health Interview Survey and the National Health Insurance Research Database, we identified 16,750 adults aged 20 years and older. Sociodemographic factors, lifestyle, medical utilization, and health behaviors were compared between people using and not using folk therapy. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) of factors associated with folk therapy were analyzed. Results. The one-month prevalence of folk therapy use was 6.8%, which was significantly associated with ages of 30-59 years (OR = 1.98, 95% CI = 1.49-2.63), women (OR = 1.63, 95% CI = 1.40-1.90), nonindigenous population (OR = 1.90, 95% CI = 1.14-3.17), having two or more unhealthy lifestyle habits (OR = 1.51, 95% CI = 1.26-1.81), high density of traditional Chinese medicine (TCM) physicians (OR = 1.40, 95% CI = 1.20-1.62), and being ill without receiving medical care in past six months (OR = 2.11, 95% CI = 1.76-2.53). Medical care utilization of TCM and Western medicine were also associated factors for folk therapy. Conclusions. The use of folk therapy is correlated with sociodemographics, lifestyle and health behaviors.Entities:
Year: 2015 PMID: 26170878 PMCID: PMC4480812 DOI: 10.1155/2015/649265
Source DB: PubMed Journal: Evid Based Complement Alternat Med ISSN: 1741-427X Impact factor: 2.629
Characteristics of users and nonusers of folk therapy.
| Use of folk therapy | |||||||
|---|---|---|---|---|---|---|---|
| No ( | Yes ( | OR | (95% CI)‡ | Scores§ | |||
|
| (%) |
| (%) | ||||
| Age (years) | |||||||
| 20–29 | 3399 | (93.3) | 243 | (6.7) | 1.66 | (1.25–2.22) | 2 |
| 30–39 | 3198 | (92.1) | 276 | (7.9) | 1.98 | (1.49–2.63) | 2 |
| 40–49 | 3416 | (92.4) | 282 | (7.6) | 1.92 | (1.45–2.55) | 2 |
| 50–59 | 2387 | (92.8) | 185 | (7.2) | 1.83 | (1.37–2.46) | 2 |
| 60–69 | 1600 | (95.1) | 82 | (4.9) | 1.22 | (0.87–1.71) | 1 |
| ≥70 | 1615 | (96.0) | 67 | (4.0) | 1.00 | (Reference) | 0 |
| Gender | |||||||
| Male | 8057 | (94.3) | 491 | (5.7) | 1.00 | (Reference) | 0 |
| Female | 7558 | (92.2) | 644 | (7.8) | 1.63 | (1.40–1.90) | 2 |
| Occupation | |||||||
| White-collar | 5626 | (92.5) | 459 | (7.5) | — | — | — |
| Blue-collar | 5775 | (93.9) | 377 | (6.1) | — | — | — |
| Others | 4241 | (93.4) | 299 | (6.6) | — | — | — |
| Education (years) | |||||||
| 0 | 1188 | (95.2) | 60 | (4.8) | — | — | — |
| 1–9 | 5389 | (93.7) | 361 | (6.3) | — | — | — |
| 10–12 | 4406 | (92.8) | 342 | (7.2) | — | — | — |
| ≥13 | 4632 | (92.6) | 372 | (7.4) | — | — | — |
| Family income (USD/month) | |||||||
| <1000 | 4134 | (94.1) | 258 | (5.9) | — | — | — |
| 1000–6667 | 11176 | (93.0) | 836 | (7.0) | — | — | — |
| >6667 | 405 | (90.8) | 41 | (9.2) | — | — | — |
| Marital status | |||||||
| Married | 10003 | (93.2) | 734 | (6.8) | — | — | — |
| Unmarried | 3781 | (93.0) | 284 | (7.0) | — | — | — |
| Others | 1831 | (94.0) | 117 | (6.0) | — | — | — |
| Ethnicity | |||||||
| Nonindigenous | 15224 | (93.2) | 1119 | (6.8) | 1.90 | (1.14–3.17) | 2 |
| Indigenous | 391 | (96.1) | 16 | (3.9) | 1.00 | (Reference) | 0 |
| Density of TCM physicians | |||||||
| Low | 5649 | (94.2) | 348 | (5.8) | 1.00 | (Reference) | 0 |
| Moderate | 5252 | (93.6) | 362 | (6.4) | 1.08 | (0.93–1.26) | 1 |
| High | 4714 | (91.7) | 425 | (8.3) | 1.40 | (1.20–1.62) | 1 |
| Unhealthy lifestyle factors† | |||||||
| None | 7722 | (93.5) | 541 | (6.5) | 1.00 | (Reference) | 0 |
| One | 3491 | (93.0) | 264 | (7.0) | 1.25 | (1.06–1.47) | 1 |
| Two or three | 4402 | (93.0) | 330 | (7.0) | 1.51 | (1.26–1.81) | 2 |
| Medical care in past 6 months | |||||||
| Without illness | 4945 | (96.0) | 203 | (4.0) | 1.00 | (Reference) | 0 |
| Illness with care | 7252 | (92.3) | 606 | (7.7) | 2.04 | (1.73–2.40) | 3 |
| Illness without care | 3438 | (91.3) | 326 | (8.7) | 2.11 | (1.76–2.53) | 3 |
TCM: traditional Chinese medicine.
†Including alcohol drinking, smoking, and betel nut chewing.
‡Using stepwise selection and the variables in the multiple logistic regression model included age, gender, ethnicity, density of TCM physicians, unhealthy lifestyle factors, and medical care in past 6 months. Occupation, family income, and marital status were not included in the final model because they were not significant factors.
§Predicted scores: 1.0 ≤ OR < 1.5 predicted score = 1, 1.5 ≤ OR < 2.0 predicted score = 2, 2.0 ≤ OR < 2.5 predicted score = 3, 2.5 ≤ OR < 3.0 predicted score = 4, 3.0 ≤ OR < 3.5 predicted score = 5, and 3.5 ≤ OR < 4.0 predicted score = 6.
Use of Western medicine within previous year in association with use of folk therapy in most recent month.
| Use of folk therapy | ||||||
|---|---|---|---|---|---|---|
| Medical utilization within previous year | No ( | Yes ( | OR | (95% CI) | ||
|
| (%) |
| (%) | |||
| Emergency care (Model 1) | ||||||
| No | 13519 | (93.6) | 920 | (6.4) | 1.00 | (Reference) |
| Yes | 2096 | (90.7) | 215 | (9.3) | 1.46 | (1.24–1.71) |
| Hospitalized care (Model 2) | ||||||
| No | 14383 | (93.4) | 1023 | (6.6) | 1.00 | (Reference) |
| Yes | 1232 | (91.7) | 112 | (8.3) | 1.28 | (1.04–1.57) |
| WM outpatient care (Model 3) | ||||||
| No | 4833 | (93.9) | 313 | (6.1) | 1.00 | (Reference) |
| Yes | 10782 | (92.9) | 822 | (7.1) | 1.22 | (1.01–1.49) |
| Frequency of WM outpatient care (Model 4) | ||||||
| None | 4839 | (93.9) | 313 | (6.1) | 1.00 | (Reference) |
| Low | 3650 | (94.0) | 235 | (6.0) | 0.93 | (0.78–1.12) |
| Moderate | 3570 | (92.8) | 278 | (7.2) | 1.05 | (0.89–1.25) |
| High | 3556 | (92.0) | 309 | (8.0) | 1.34 | (1.13–1.58) |
| Medical expenditure for WM (Model 5) | ||||||
| None | 4839 | (93.9) | 313 | (6.1) | 1.00 | (Reference) |
| Low | 3601 | (94.1) | 226 | (5.9) | 0.89 | (0.74–1.07) |
| Moderate | 3556 | (92.9) | 271 | (7.1) | 1.02 | (0.86–1.21) |
| High | 3619 | (91.8) | 325 | (8.2) | 1.42 | (1.20–1.67) |
WM: Western medicine.
There were 5 multivariate logistic regression models performed to investigate the impacts of five major factors (emergency care, hospitalized care, WM outpatient care, frequency of WM outpatient care, and medical expenditure for WM) on the use of folk therapy. Each model adjusted for age, gender, ethnicity, density of TCM physicians, unhealthy lifestyle factors, and medical care in past 6 months in multiple logistic regressions.
Use of traditional Chinese medicine within previous year in association with use of folk therapy in most recent month.
| Use of folk therapy | ||||||
|---|---|---|---|---|---|---|
| No ( | Yes ( | OR | (95% CI) | |||
|
| (%) |
| (%) | |||
| Use of TCM (Model 1) | ||||||
| No | 11879 | (94.6) | 679 | (5.4) | 1.00 | (Reference) |
| Yes | 3736 | (89.1) | 456 | (10.9) | 1.93 | (1.70–2.19) |
| Number of visits for TCM (Model 2) | ||||||
| None | 11879 | (94.6) | 679 | (5.4) | 1.00 | (Reference) |
| 1 visit | 1164 | (92.0) | 101 | (8.0) | 1.42 | (1.14–1.77) |
| 2 visits | 649 | (91.3) | 62 | (8.7) | 1.52 | (1.16–2.01) |
| ≥3 visits | 1923 | (86.8) | 293 | (13.2) | 2.36 | (2.04–2.74) |
| Use of acupuncture (Model 3) | ||||||
| No | 14684 | (93.8) | 964 | (6.2) | 1.00 | (Reference) |
| Yes | 931 | (84.5) | 171 | (15.5) | 2.59 | (2.17–3.09) |
| Number of visits for acupuncture treatment (Model 4) | ||||||
| Without TCM use | 11879 | (94.6) | 679 | (5.4) | 1.00 | (Reference) |
| Use of TCM but without acupuncture | 2805 | (90.8) | 285 | (9.2) | 1.60 | (1.38–1.85) |
| 1 visit | 297 | (90.3) | 32 | (9.7) | 1.65 | (1.13–2.40) |
| 2 visits | 285 | (86.1) | 46 | (13.9) | 2.59 | (1.87–3.59) |
| ≥3 visits | 349 | (79.0) | 93 | (21.0) | 4.35 | (3.40–5.56) |
| Frequency of TCM use (Model 5) | ||||||
| None | 11879 | (94.6) | 679 | (5.4) | 1.00 | (Reference) |
| Low | 1813 | (91.8) | 163 | (8.2) | 1.46 | (1.22–1.75) |
| Moderate | 1064 | (88.9) | 133 | (11.1) | 1.95 | (1.60–2.38) |
| High | 859 | (84.3) | 160 | (15.7) | 2.87 | (2.37–3.47) |
| Expenditure for TCM (Model 6) | ||||||
| None | 11881 | (94.6) | 680 | (5.4) | 1.00 | (Reference) |
| Low | 1235 | (91.2) | 119 | (8.8) | 1.57 | (1.28–1.93) |
| Moderate | 1274 | (90.5) | 134 | (9.5) | 1.64 | (1.35–2.00) |
| High | 1225 | (85.8) | 202 | (14.2) | 2.57 | (2.16–3.04) |
| Acupuncture, herbal medicine, and tui-na (Model 7) | ||||||
| None (including other TCM) | 11881 | (94.6) | 679 | (5.4) | 1.00 | (Reference) |
| Acupuncture only | 176 | (88.4) | 23 | (11.6) | 2.17 | (1.38–3.42) |
| Herbal medicine only | 1841 | (91.6) | 168 | (8.4) | 0.10 | (0.06–0.17) |
| Tui-na only | 367 | (90.8) | 37 | (9.2) | 1.31 | (0.92–1.85) |
| Acupuncture and herbal medicine | 370 | (84.9) | 66 | (15.1) | 2.23 | (1.70–2.94) |
| Acupuncture and tui-na | 97 | (92.4) | 8 | (7.6) | 1.12 | (0.54–2.32) |
| Herbal medicine and tui-na | 595 | (88.2) | 80 | (11.8) | 1.68 | (1.31–2.15) |
| All | 288 | (79.6) | 74 | (20.4) | 3.30 | (2.52–4.31) |
CI: confidence interval; OR: odds ratio; TCM: traditional Chinese medicine.
There were seven multivariate logistic regression models performed to investigate the impacts of seven major factors (use of TCM, number of visits for TCM, use of acupuncture, number of visits for acupuncture treatment, frequency of TCM use, expenditure for TCM, and acupuncture, herbal medicine, and tui-na) on the use of folk therapy. Each model adjusted for age, gender, ethnicity, density of TCM physicians, unhealthy lifestyle factors, and medical care in past 6 months in multiple logistic regressions.
Predictive scores for use of folk therapy among adults in Taiwan.
| Use of folk therapy | ||||
|---|---|---|---|---|
| Interviewees | Users | OR | (95% CI) | |
| Predictive scores | ||||
| 0–5 | 4365 | 156 | 1.00 | (Reference) |
| 6-7 | 5789 | 395 | 1.97 | (1.63–2.39) |
| 8 | 4086 | 351 | 2.54 | (2.09–3.08) |
| 9-10 | 2510 | 233 | 2.76 | (2.24–3.40) |
CI: confidence interval; OR: odds ratio.
Using the results of Table 1, we calculated the total predictive scores of folk therapy use for every participant.