| Literature DB >> 34615504 |
Zewdneh Shewamene1,2, Tinashe Dune3, Caroline A Smith4,5.
Abstract
BACKGROUND: More than 80% of the African population depend on traditional medicine as a primary healthcare. Although the African migrant community is increasing in Australia, there is no research documenting if and how African migrant communities have maintained or changed their use of traditional health practices after migration. This study aims to answer the following research questions: does acculturation influence the use of traditional medicine? and how are cultural health practices or beliefs manifested among African migrant women in Australia?Entities:
Keywords: Acculturation; African women; Australia; Migrants; Traditional medicine
Mesh:
Year: 2021 PMID: 34615504 PMCID: PMC8495915 DOI: 10.1186/s12906-021-03424-w
Source DB: PubMed Journal: BMC Complement Med Ther ISSN: 2662-7671
Characteristics of survey participants
| Characteristics | n (%) | |
|---|---|---|
| Age on arrival | Less than 10 years | 5 (1.6) |
| 11-20 years | 77 (24.1) | |
| 21-30 years | 171 (53.6) | |
| Above 30 years | 55 (20.7) | |
| Time spent in Australia | 1-5 years | 111 (34.8) |
| > 5 years | 208 (65.2) | |
| Visa pathway to come to Australia | family or partner | 124 (38.9) |
| Humanitarian or refugee | 100 (31.3) | |
| Student | 56 (17.6) | |
| Skilled/work | 39 (12.2) | |
| Current visa status | Citizen | 130 (40.8) |
| PR | 123 (38.6) | |
| Temporary | 60 (18.8) | |
| Refugee or asylum seeker | 6 (1.9) | |
| Self-rated English proficiency | Fluent | 28 (8.8) |
| Excellent | 169 (53) | |
| Good or fair | 122 (38.2) | |
| Country of origin | Ethiopia | 58 (18.2%) |
| Ghana | 13 (4.0%) | |
| Liberia | 10 (3.1%) | |
| Nigeria | 26 (8.2%) | |
| Sierra Leone | 18 (5.6%) | |
| South Sudan | 16 (5.0%) | |
| Sudan | 51 (16.0%) | |
| Zimbabwe | 18 (5.6%) | |
| Other 35 countries | 109 (34.2%) | |
Characteristics of interview participants
| S. no | Name (age) | Age at arrival in Australia | Length of time in Australia, in year | Religion | Visa type on entry | English proficiency (Self rated) |
|---|---|---|---|---|---|---|
| 1 | Fiona (59) | 38 | 21 | Christian | Humanitarian /Refugee | Good |
| 2 | Zena (62) | 30 | 32 | Catholic | Humanitarian /Refugee | Excellent |
| 3 | Soy (46) | 38 | 8 | African traditional | Skilled/work | Good |
| 4 | Sim (33) | 22 | 11 | Christian | Family/partner | Good |
| 5 | Anna (42) | 32 | 10 | Christian | Humanitarian /Refugee | Excellent |
| 6 | Tia (28) | 26 | 2 | Christian | Student | Good |
| 7 | Mary (48) | 18 | 30 | Christian | Humanitarian /Refugee | Excellent |
| 8 | Eva (28) | 26 | 2 | Christian | Student | Fluent |
| 9 | Saly (48) | 26 | 22 | Christian | Family/partner | Excellent |
| 10 | Hiva (30) | 19 | 11 | Christian | Family/partner | Excellent |
| 11 | Ney (30) | 10 | 20 | Christian | Family/partner | Fluent |
| 12 | Mire (25) | 23 | 2 | Christian | Skilled/work | Good |
| 13 | Lita (35) | 32 | 3 | Christian | Family/partner | Excellent |
| 14 | Jay (26) | 10 | 16 | Christian | Student | Good |
| 15 | Ema (25) | 20 | 5 | Muslim | Family/partner | Good |
Multivariate logistic regression analysis for acculturation factors and use of traditional medicine
| Variables | Total | Use of TM | aAdjusted OR | 95%CI | |||
|---|---|---|---|---|---|---|---|
| Yes | No | ||||||
| Age on arrival | < 20 years | 82 | 40 (48.8%) | 42 (51.2%) | 1 | – | – |
| > 21 years | 235 | 192 (81.0%) | 45 (19.0%) | 2.9 | 1.54-5.33 | < 0.001 | |
| Time spent in Australia | < 5 years | 111 | 100 (90.1%) | 11 (9.9%) | 3.1 | 1.4-6.68 | 0.004 |
| > 5 years | 208 | 132 (63.5%) | 76 (36.5%) | 1 | – | – | |
| Self-rated English proficiency | Good | 122 | 112 (92%) | 10 (8%) | 5.6 | 2.58-12.11 | < 0.001 |
| Excellent | 169 | 101 (59.8%) | 68 (40.2%) | 1 | – | – | |
aAdjusted ORs were calculated by controlling the refugee status of women (refugee or non-refugee) and women’s current migration status in Australia (citizens or non-citizens) which were not found significant during the bivariate analysis