The Impact of Acupuncture on Health-Related Quality of Life in Veterans with Combat Post-Traumatic Stress Disorder: A Secondary Analysis of a Randomized Control Trial
Abstract
1. Introduction
1.1. Origin of Acupuncture Treatment
1.2. Brief Overview of Acupuncture
1.3. Acupuncture Treatment in Veterans
1.4. PTSD and Quality of Life
1.5. Current Paper and Main Study Overview
1.6. Current Study Hypotheses
2. Materials and Methods
2.1. Ethics and IRB
2.2. Recruitment, Inclusion and Exclusion Criteria
2.3. Intervention and Measures
2.3.1. Acupuncture
2.3.2. Veterans RAND 12-Item Health Survey (VR-12)
2.4. Data Analyses
3. Results
3.1. Primary Analysis of MCS Findings
3.2. Primary Analysis of PCS Findings
3.3. Percentage of Clinically Relevant Change at the Individual Level
4. Discussion
4.1. Discussion of Results
4.2. Population-Level Changes in PCS and MCS
4.3. Individual-Level Changes in PCS and MCS
4.4. Clinical Implications
4.5. Strengths, Limitations, and Future Direction
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Group | |||||||
|---|---|---|---|---|---|---|---|
| Population | Verum | Sham | p-Value | ||||
| N | (%) | N | (%) | N | (%) | ||
| Age Group | 0.541 | ||||||
| 24–29 | 11 | (11.8) | 3 | (6.4) | 8 | (17.4) | |
| 30–34 | 22 | (23.7) | 10 | (21.3) | 12 | (26.1) | |
| 35–39 | 22 | (23.7) | 13 | (27.7) | 9 | (19.6) | |
| 40–44 | 9 | (9.7) | 6 | (12.8) | 3 | (6.5) | |
| 45–49 | 16 | (17.2) | 8 | (17.0) | 8 | (17.4) | |
| 50+ | 13 | (14.0) | 7 | (14.9) | 6 | (13.0) | |
| Sex | 0.975 | ||||||
| Male | 85 | (91.4) | 43 | (91.5) | 42 | (91.3) | |
| Female | 8 | (8.6) | 4 | (8.5) | 4 | (8.7) | |
| Country of Birth | 0.491 | ||||||
| USA | 72 | (77.4) | 35 | (74.5) | 37 | (80.4) | |
| Other | 21 | (22.6) | 12 | (25.5) | 9 | (19.6) | |
| Education Level | 0.457 | ||||||
| HS/GED | 19 | (20.4) | 12 | (25.5) | 7 | (15.2) | |
| Some College | 39 | (41.9) | 18 | (38.3) | 21 | (45.7) | |
| College Degree | 35 | (37.6) | 17 | (36.2) | 18 | (39.1) | |
| Marital Status | 0.292 | ||||||
| Married | 46 | (49.5) | 24 | (51.1) | 22 | (47.8) | |
| Single | 20 | (21.5) | 13 | (27.7) | 7 | (15.2) | |
| Divorced | 21 | (22.6) | 8 | (17.0) | 13 | (28.3) | |
| Other | 6 | (6.5) | 2 | (4.3) | 4 | (8.7) | |
| Religion | 0.416 | ||||||
| Buddhist | 4 | (4.3) | 3 | (6.4) | 1 | (2.2) | |
| Christian | 46 | (49.5) | 22 | (46.8) | 24 | (52.2) | |
| Muslim | 2 | (2.2) | 0 | 0 | 2 | (4.3) | |
| Other | 21 | (22.6) | 10 | (21.3) | 11 | (23.9) | |
| None | 20 | (21.5) | 12 | (25.5) | 8 | (17.4) | |
| Live With Self | 0.769 | ||||||
| No | 64 | (68.8) | 33 | (70.2) | 31 | (67.4) | |
| Yes | 29 | (31.2) | 14 | (29.8) | 15 | (32.6) | |
| Live With Spouse | 0.751 | ||||||
| No | 49 | (52.7) | 24 | (51.1) | 25 | (54.3) | |
| Yes | 44 | (47.3) | 23 | (48.9) | 21 | (45.7) | |
| Live With Children | 0.883 | ||||||
| No | 62 | (66.7) | 31 | (66.0) | 31 | (67.4) | |
| Yes | 31 | (33.3) | 16 | (34.0) | 15 | (32.6) | |
| Live With Parents | 0.173 | ||||||
| No | 78 | (83.9) | 37 | (78.7) | 41 | (89.1) | |
| Yes | 15 | (16.1) | 10 | (21.3) | 5 | (10.9) | |
| Live With Relatives | 0.673 | ||||||
| No | 86 | (92.5) | 44 | (93.6) | 42 | (91.3) | |
| Yes | 7 | (7.5) | 3 | (6.4) | 4 | (8.7) | |
| Live With Others | 0.533 | ||||||
| No | 79 | (84.9) | 41 | (87.2) | 38 | (82.6) | |
| Yes | 14 | (15.1) | 6 | (12.8) | 8 | (17.4) | |
| Annual Income | 0.174 | ||||||
| Missing | 1 | (1.1) | 1 | (2.1) | 0 | 0 | |
| USD 0–USD 19,999 | 13 | (14.0) | 3 | (6.4) | 10 | (21.7) | |
| USD 20,000–USD 34,999 | 14 | (15.1) | 6 | (12.8) | 8 | (17.4) | |
| USD 35,000–USD 49,999 | 22 | (23.7) | 13 | (27.7) | 9 | (19.6) | |
| >USD 50,000 | 43 | (46.2) | 24 | (51.1) | 19 | (41.3) | |
| Employed | 0.078 | ||||||
| No | 51 | (54.8) | 30 | (63.8) | 21 | (45.7) | |
| Yes | 42 | (45.2) | 17 | (36.2) | 25 | (54.3) | |
| Work Hours | 0.108 | ||||||
| <40 | 16 | (17.2) | 6 | (12.8) | 10 | (21.7) | |
| 40 | 22 | (23.7) | 12 | (25.5) | 10 | (21.7) | |
| >40 | 7 | (7.5) | 1 | (2.1) | 6 | (13.0) | |
| Missing | 48 | (51.6) | 28 | (59.6) | 20 | (43.5) | |
| Race | 0.299 | ||||||
| American Indian/Alaskan Native | 2 | (2.2) | 2 | (4.3) | 0 | 0 | |
| White | 44 | (47.3) | 23 | (48.9) | 21 | (45.7) | |
| Asian | 17 | (18.3) | 8 | (17.0) | 9 | (19.6) | |
| Black/African American | 12 | (12.9) | 5 | (10.6) | 7 | (15.2) | |
| More than one | 15 | (16.1) | 6 | (12.8) | 9 | (19.6) | |
| Unknown | 3 | (3.2) | 3 | (6.4) | 0 | 0 | |
| Ethnicity | 0.598 | ||||||
| Hispanic | 43 | (46.2) | 23 | (48.9) | 20 | (43.5) | |
| Non-Hispanic | 50 | (53.8) | 24 | (51.1) | 26 | (56.5) | |
| Combat Exposure | 0.981 | ||||||
| Light | 3 | (3.2) | 1 | (2.1) | 2 | (4.3) | |
| Moderate Light | 16 | (17.2) | 8 | (17.0) | 8 | (17.4) | |
| Moderate | 31 | (33.3) | 16 | (34.0) | 15 | (32.6) | |
| Moderate Heavy | 28 | (30.1) | 14 | (29.8) | 14 | (30.4) | |
| Heavy | 15 | (16.1) | 8 | (17.0) | 7 | (15.2) | |
| Deployment Preparedness | 0.936 | ||||||
| Low Preparedness | 7 | (7.5) | 4 | (8.5) | 3 | (6.5) | |
| Moderate Preparedness | 46 | (49.5) | 23 | (48.9) | 23 | (50.0) | |
| High Preparedness | 40 | (43.0) | 20 | (42.6) | 20 | (43.5) | |
![]() | |||
|---|---|---|---|
| Pre-Treatment M (SD); Sample Size | Post-Treatment M (SD); Sample Size | Delta (Pre–Post) Δ (SD); p-Value; Sample Size | |
| Verum | 31.1 (10.1); n = 47 | 36.7 (11.1); n = 39 | −5.2 ** (11.5); p = 0.01 **; n = 39 |
| Sham | 31.6 (8.3); n = 46 | 31.6 (11.3); n = 32 | 0.7 (8.8); p = 0.65; n = 32 |
| Total | 31.3 (9.2); n = 93 | 34.4 (11.4); n = 71 | −2.6 * (10.7); p = 0.049 *; n = 71 |
![]() | |||
|---|---|---|---|
| Pre-Treatment M (SD); Sample Size | Post-Treatment M (SD); Sample Size | Delta (Pre–Post) Δ (SD); p-Value; Sample Size | |
| Verum | 39.7 (11.2); n = 47 | 43.3 (11.1); n = 39 | −3.1 (10.2); p = 0.06; n = 39 |
| Sham | 39.9 (10.6); n = 46 | 38.8 (10.3); n = 32 | −2.5 (8.5); p = 0.10; n = 32 |
| Total | 39.8 (10.8); n = 93 | 41.3 (10.9); n = 71 | 2.9 (9.4); p = 0.01 **; n = 71 |
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Munoz, A.; Lai-Trzebiatowski, J.; Smith, T.; Frousakis, N.N.; Hsiao, A.-F.; Norrholm, S.D.; Aden, C.; Calloway, T.; Jung, M.; Carrick, K.; et al. The Impact of Acupuncture on Health-Related Quality of Life in Veterans with Combat Post-Traumatic Stress Disorder: A Secondary Analysis of a Randomized Control Trial. Trauma Care 2025, 5, 27. https://doi.org/10.3390/traumacare5040027
Munoz A, Lai-Trzebiatowski J, Smith T, Frousakis NN, Hsiao A-F, Norrholm SD, Aden C, Calloway T, Jung M, Carrick K, et al. The Impact of Acupuncture on Health-Related Quality of Life in Veterans with Combat Post-Traumatic Stress Disorder: A Secondary Analysis of a Randomized Control Trial. Trauma Care. 2025; 5(4):27. https://doi.org/10.3390/traumacare5040027
Chicago/Turabian StyleMunoz, Andrea, Jennifer Lai-Trzebiatowski, Tyler Smith, Nikki N. Frousakis, An-Fu Hsiao, Seth D. Norrholm, Chelsea Aden, Teresa Calloway, Megan Jung, Kala Carrick, and et al. 2025. "The Impact of Acupuncture on Health-Related Quality of Life in Veterans with Combat Post-Traumatic Stress Disorder: A Secondary Analysis of a Randomized Control Trial" Trauma Care 5, no. 4: 27. https://doi.org/10.3390/traumacare5040027
APA StyleMunoz, A., Lai-Trzebiatowski, J., Smith, T., Frousakis, N. N., Hsiao, A.-F., Norrholm, S. D., Aden, C., Calloway, T., Jung, M., Carrick, K., Alpert, R., Krajec, A., Jovanovic, T., & Hollifield, M. (2025). The Impact of Acupuncture on Health-Related Quality of Life in Veterans with Combat Post-Traumatic Stress Disorder: A Secondary Analysis of a Randomized Control Trial. Trauma Care, 5(4), 27. https://doi.org/10.3390/traumacare5040027



