| Literature DB >> 26692096 |
Farah Naja1, Romy Abi Fadel2, Mohamad Alameddine3, Yasmin Aridi4, Aya Zarif5, Dania Hariri6, Anas Mugharbel7, Maya Khalil8, Zeina Nahleh9, Arafat Tfayli10.
Abstract
BACKGROUND: Breast cancer patients are increasingly seeking Complementary and Alternative Medicine (CAM) therapies with the hope of alleviating the burden of the disease and improving their quality of life (QOL). The objective of this study was to assess the prevalence, types, socio-demographic and disease-related correlates as well as characteristics of CAM use (including disclosure to treating physicians) among breast cancer patients in Beirut, Lebanon. A secondary objective was to evaluate the association between CAM use and QOL.Entities:
Mesh:
Year: 2015 PMID: 26692096 PMCID: PMC4687122 DOI: 10.1186/s12906-015-0969-9
Source DB: PubMed Journal: BMC Complement Altern Med ISSN: 1472-6882 Impact factor: 3.659
Association of socio-demographic and disease-related characteristics with CAM use in the study population (n = 180)
| Characteristics | Overall | CAM users | CAM non-users | OR (95 % CI)a |
|---|---|---|---|---|
|
|
|
| ||
| Age (years) | 53.78 ± 9.93 | 50.78 ± 10 | 55.64 ± 9.43 | 0.95 (0.92-0.98) |
| Recruitment site | ||||
| ᅟPrivate academic medical center | 116 (64.4) | 64 (87.7) | 52 (48.6) | 1 |
| ᅟPhilanthropic general hospital | 64 (35.6) | 9 (12.3) | 55 (51.4) | 0.13 (0.06-0.29) |
| Marital status | ||||
| ᅟSingle | 35 (19.4) | 8 (11) | 27 (25.2) | 1 |
| ᅟMarried | 145 (80.6) | 65 (89) | 80 (74.8) | 2.74 (1.17-6.44) |
| Educational level | ||||
| ᅟHigh school or less | 56 (31.1) | 18 (24.7) | 38 (35.5) | 1 |
| ᅟUniversity degree | 124 (68.9) | 55 (75.3) | 69 (64.5) | 1.68 (0.87-3.27) |
| Employment status | ||||
| ᅟUnemployed | 128 (71.1) | 51 (69.9) | 77 (72) | 1 |
| ᅟEmployed | 52 (28.9) | 22 (30.1) | 30 (28) | 0.90 (0.47-1.74) |
| Type of health insurance | ||||
| ᅟPrivate | 44 (24.4) | 22 (30.1) | 22 (20.6) | 1 |
| ᅟPublic | 136 (75.6) | 51 (69.9) | 85 (79.4) | 0.60 (0.30-1.19) |
| Monthly incomeb | ||||
| ᅟ<500$ | 36 (20.1) | 9 (12.3) | 27 (25.5) | 1 |
| ᅟ500-1000$ | 74 (41.1) | 33 (45.2) | 41 (38.7) | 2.42 (0.99-5.84) |
| ᅟ>1000$ | 69 (38.5) | 31 (42.5) | 38 (35.8) | 2.45 (1.00-5.97) |
| Duration of breast cancer | ||||
| ᅟ<1 year | 71 (39.4) | 32 (43.8) | 39 (36.4) | 1 |
| ᅟ1-5 years | 66 (36.7) | 24 (32.9) | 42 (39.3) | 0.70 (0.35-1.38) |
| ᅟ>5 years | 43 (23.9) | 17 (23.3) | 26 (24.3) | 0.80 (0.37-1.72) |
| Family history of breast cancer | ||||
| ᅟNo | 105 (58.3) | 43 (58.9) | 62 (57.9) | 1 |
| ᅟYes | 75 (41.7) | 30 (41.1) | 45 (42.1) | 1.04 (0.579-1.90) |
| State of breast cancer | ||||
| ᅟEarly stage | 99 (55) | 32 (43.8) | 67 (62.6) | 1 |
| ᅟLocally advanced | 44 (24.4) | 21 (28.8) | 23 (21.5) | 1.91 (0.93-3.95) |
| ᅟMetastatic | 37 (20.6) | 20 (27.4) | 17 (15.9) | 2.46 (1.14-5.33) |
| Adhere to doctor’s recommendations | ||||
| ᅟNo | 12 (6.7) | 6 (8.2) | 6 (5.6) | 1 |
| ᅟYes | 168 (93.3) | 67 (91.8) | 101 (94.4) | 1.51 (0.47-4.87) |
aResults in bold are significant at p < 0.05
bThe symbol ‘$’ in this table refers to U.S. dollars
Multivariate logistic regression for correlates of CAM use in the study population (n = 180)
| Characteristic | OR (95 % CI)a |
|---|---|
| Age (years) | 0.96 (0.92-0.99) |
| Recruitment site | |
| Private academic medical center | 1 |
| Philanthropic general hospital | 0.13 (0.05-0.35) |
| Marital status | |
| Single | 1 |
| Married | 1.90 (0.69-5.24) |
| Education level | |
| High school or less | 1 |
| University degree | 0.53 (0.16-1.73) |
| Type of health insurance | |
| Private | 1 |
| Public | 0.88 (0.39-1.96) |
| Monthly incomeb | |
| < 500$ | 1 |
| 500-1000$ | 0.53 (0.16-1.73) |
| > 1000$ | 0.45 (0.13-1.53) |
| Family history of breast cancer | |
| No | 1 |
| Yes | 0.94 (0.46-1.91) |
| State of breast cancer | |
| Early stage | 1 |
| Locally advanced | 4.20 (1.65-10.69) |
| Metastatic | 1.86 (0.79-4.40) |
aResults in bold are significant at p < 0.05
bThe symbol ‘$’ in this table refers to U.S. dollars
Fig. 1Distribution of the various types of CAM used in the study population (n = 73)
Prevalence and characteristics of CAM use in the study population (n = 180)
| Prevalence of CAM use | n (%) |
|---|---|
| Used CAM since diagnosis | |
| No | 107(59.4) |
| Yes | 73(40.6) |
| CAM related characteristics among CAM users ( | |
|
| |
| Media | 20 (27.4) |
| Family beliefs | 20 (27.4) |
| Personal choice | 18 (24.7) |
| Friends | 8 (11.0) |
| Health care practitioner | 3 (4.1) |
| Healthy food shop salesman | 2 (2.7) |
| Alternative medicine therapist | 2 (2.7) |
|
| |
| Belief in advantages of CAM | 67 (91.2) |
| Managing cancer complications and slowing its progression | 56 (76.7) |
| Reduce side effects of conventional therapy | 25 (34.2) |
| To feel more control over health | 23 (31.5) |
| Family tradition/culture | 22 (30.1) |
| Strengthen immunity | 18 (24.6) |
| Provides energy | 11 (15.1) |
| Provides hope/prayer | 10 (13.7) |
| Relief from sorcery and spell | 5 (6.6) |
| Disappointment from conventional therapy | 3 (4.1) |
| Curiosity | 3 (4.1) |
|
| |
| Not at all | 5 (6.8) |
| Some | 43 (58.9) |
| A lot, very satisfied | 22 (30.1) |
| You can’t tell | 3 (4.1) |
|
| |
| No | 65 (90.3) |
| Yes | 7 (9.7) |
|
| |
| No | 4 (5.6) |
| Yes | 53 (73.6) |
| Undecided | 15 (20.8) |
| CAM related characteristics among non-users ( | |
|
| |
| Lack of belief in the benefits of CAM | 36 (33.6) |
| Afraid of side effect | 30 (28.0) |
| The doctor didn’t prescribe CAM | 21 (19.6) |
| Never heard of CAM | 11 (10.3) |
| Additional burden | 9 (8.4) |
|
| |
| No | 91 (85.8) |
| Yes | 15 (14.2) |
aMore than one answer was applicable
Fig. 2Disclosure of CAM use to treating physician and the reaction of the physician, among users of CAM in the study population (n = 73)