A Population-Based Cohort Study on the Ability of Acupuncture to Reduce Post-Stroke Depression
Abstract
:1. Introduction
2. Materials and Method
2.1. Source of Data
2.2. Participants and End-Point
2.3. Covariates
2.4. Statistical Analysis
3. Results
3.1. Sample Characteristics
3.2. Cox Proportional Hazard Regression Analysis
4. Discussion
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Characteristic | Frequent Acupuncture Users a (N = 1036, 12.21%) | Infrequent Acupuncture Users b (N = 1053, 12.41%) | Acupuncture Non-Users c (N = 6398, 75.39%) | p Value |
---|---|---|---|---|
Female (%) | 444 (42.86) | 425 (40.36) | 2622 (40.98) | 0.378 |
Age of diagnosis (Mean ± SD) | 61.28 ± 13.19 | 61.77 ± 13.59 | 66.21 ± 14.35 | <0.001 |
Follow-up time (year) (Mean ± SD) | 4.67 ± 1.78 | 4.82 ± 1.76 | 4.28 ± 1.87 | <0.001 |
Living area (%) | <0.001 | |||
Urban area | 307 (30.10) | 275 (26.52) | 1471 (23.45) | |
Satellite city | 303 (29.71) | 305 (29.41) | 1668 (26.59) | |
Rural area | 410 (40.20) | 457 (44.07) | 3133 (49.95) | |
Insurance income ranks (%) d,e | <0.001 | |||
<15,000 NTD | 320 (30.89%) | 314 (29.82) | 2379 (37.18%) | |
≥15,000 NTD | 716 (69.11%) | 739 (70.18) | 4019 (62.82%) | |
Type of stroke | <0.001 | |||
hemorrhagic stroke | 261 (25.19) | 217 (20.61) | 1288 (20.13) | |
occlusion stroke | 617 (59.56) | 647 (61.44) | 3923 (61.32) | |
unknown | 158 (15.25) | 189 (17.95) | 1187 (18.55) | |
Hospitalization days | <0.001 | |||
≤7 days | 458 (44.21) | 536 (50.90) | 3540 (52.20) | |
8–14 days | 253 (24.42) | 298 (28.30) | 1626 (25.52) | |
15–21 days | 111 (10.71) | 74 (7.03) | 541 (8.46) | |
22–28 days | 63 (6.08) | 52 (4.94) | 316 (4.94) | |
≥28 days | 151 (14.58) | 93 (8.83) | 575 (8.99) | |
Comorbidities f | ||||
Rheumatoid arthritis (%) | 91 (8.78) | 83 (7.88) | 440 (6.88) | 0.018 |
Peripheral arterial disease (%) | 265 (25.58) | 234 (22.22) | 1216 (19.01) | <0.001 |
Myocardial infarction (%) | 50 (4.83) | 54 (5.13) | 278 (4.35) | 0.312 |
Cancer (%) | 152 (14.67) | 173 (16.43) | 919 (14.36) | 0.400 |
Diabetes (%) | 531 (51.25) | 520 (49.38) | 2989 (46.72) | 0.003 |
Hypertension (%) | 873 (84.27) | 887 (84.24) | 5160 (80.65) | <0.001 |
Chronic kidney diseases (%) | 112 (10.81) | 110 (10.45) | 767 (11.99) | 0.140 |
Chronic obstructive pulmonary diseases (%) | 554 (53.47) | 572 (54.32) | 3592 (56.14) | 0.070 |
Head traumatic injury (%) | 23 (2.22) | 31 (2.94) | 231 (3.33) | 0.055 |
Rehabilitation g | 390 (37.64) | 295 (28.02) | 1126 (17.60) | <0.001 |
SSI (Mean ± SD) h | −0.16 ± 1.39 | −0.35 ± 1.22 | −0.14 ± 1.40 | <0.001 |
Censor after stroke i | ||||
Yes | 110 (10.62) | 177 (16.81) | 1551 (24.24) | <0.001 |
Characteristic | Hazard Ratio a | p Value | 95% CI | |
---|---|---|---|---|
Acupuncture users (ref: Acupuncture non-users d) | ||||
Frequent acupuncture users b | 0.475 | <0.001 | 0.389 | 0.580 |
Infrequent acupuncture users c | 0.718 | <0.001 | 0.612 | 0.842 |
Female | 0.777 | <0.001 | 0.705 | 0.856 |
Age of diagnosis | 1.045 | <0.001 | 1.040 | 1.050 |
Living area (ref: Rural area) | ||||
Urban area | 0.836 | 0.005 | 0.738 | 0.947 |
Satellite city | 0.966 | 0.548 | 0.861 | 1.082 |
Insurance income (ref: <15,000 NTD) e,f | ||||
≥15,000 NTD | 1.082 | 0.128 | 0.978 | 1.198 |
Type of stroke (ref: unknown) | ||||
hemorrhagic stroke | 0.796 | 0.006 | 0.676 | 0.936 |
occlusion stroke | 0.911 | 0.131 | 0.808 | 1.028 |
Hospitalization days g | 1.098 | <0.001 | 1.053 | 1.145 |
Comorbidities | ||||
Rheumatoid arthritis | 0.998 | 0.989 | 0.833 | 1.195 |
Peripheral arterial disease | 0.878 | 0.029 | 0.781 | 0.986 |
Myocardial Infarction | 1.298 | 0.005 | 1.080 | 1.559 |
Cancer | 1.423 | <0.001 | 1.268 | 1.597 |
Diabetes | 1.136 | 0.009 | 1.032 | 1.251 |
Hypertension | 0.844 | 0.008 | 0.744 | 0.956 |
Chronic kidney diseases | 1.519 | <0.001 | 1.345 | 1.715 |
Chronic obstructive pulmonary diseases | 1.219 | <0.001 | 1.097 | 1.355 |
Head traumatic injury | 1.629 | <0.001 | 1.335 | 1.988 |
Rehabilitation h (ref: no rehabilitation) | 0.929 | 0.221 | 0.825 | 1.045 |
SSI i | 1.210 | <0.001 | 1.166 | 1.256 |
Characteristic e | Hemorrhagic Stroke | Occlusion Stroke | ||||||
---|---|---|---|---|---|---|---|---|
Hazard Ratio a | p Value | 95% CI | Hazard Ratio a | p Value | 95% CI | |||
Acupuncture users (ref: Acupuncture non-users d) | ||||||||
Frequent acupuncture users b | 0.446 | <0.001 | 0.283 | 0.702 | 0.499 | <0.001 | 0.391 | 0.638 |
Infrequent acupuncture users c | 0.831 | 0.318 | 0.577 | 1.196 | 0.707 | <0.001 | 0.578 | 0.865 |
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Tseng, S.-P.; Hsu, Y.-C.; Chiu, C.-J.; Wu, S.-T. A Population-Based Cohort Study on the Ability of Acupuncture to Reduce Post-Stroke Depression. Medicines 2017, 4, 16. https://doi.org/10.3390/medicines4010016
Tseng S-P, Hsu Y-C, Chiu C-J, Wu S-T. A Population-Based Cohort Study on the Ability of Acupuncture to Reduce Post-Stroke Depression. Medicines. 2017; 4(1):16. https://doi.org/10.3390/medicines4010016
Chicago/Turabian StyleTseng, Shuo-Ping, Yu-Ching Hsu, Ching-Ju Chiu, and Shang-Te Wu. 2017. "A Population-Based Cohort Study on the Ability of Acupuncture to Reduce Post-Stroke Depression" Medicines 4, no. 1: 16. https://doi.org/10.3390/medicines4010016
APA StyleTseng, S. -P., Hsu, Y. -C., Chiu, C. -J., & Wu, S. -T. (2017). A Population-Based Cohort Study on the Ability of Acupuncture to Reduce Post-Stroke Depression. Medicines, 4(1), 16. https://doi.org/10.3390/medicines4010016