| Literature DB >> 28152991 |
William Chi Wai Wong1, Sealing Cheung2, Heidi Yin Hai Miu3, Julie Chen3,4, Kelley Ann Loper5, Eleanor Holroyd6.
Abstract
BACKGROUND: Hong Kong is non-signatory to the 1951 Refugee Convention and its 1967 Protocol, and has no systematic domestic policies committed to the rights of asylum-seekers and refugees (ASRs). This creates a tenuous setting for African ASRs there. This study explored how mapped social determinates of health has impacted the mental health and wellbeing of African ASR's in Hong Kong.Entities:
Keywords: African refugees; Depression; Hong Kong; Mental health; Social Determinants of Health
Mesh:
Year: 2017 PMID: 28152991 PMCID: PMC5288844 DOI: 10.1186/s12889-016-3953-5
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1Mapping out of the Social Determinants of Health in the African ASR population in Hong Kong. Adapted from the WHO’s Conceptual Framework for the Social Determinants of Health (CSDH) framework (Solar & Irwin [16])
Everyday Discrimination Scale (Short) [17–19]
| Consisting of 5 items, the scale assessed frequencies of different day-to-day mistreatment; with a Cronbach alpha of 0.77. Participants were asked to rate the frequency of the following items: |
| 1. You are treated with less courtesy or respect than other people. |
| 2. You receive poorer service than other people at restaurants or stores. |
| 3. People act as if they think you are not smart. |
| 4. People act as if they are afraid of you. |
| 5. You are threatened or harassed. |
| Responses were rated into: never, less than once a year, a few times a year, a few times a month, at least once a week and multiple times a week |
Basic descriptive of African ASRs in Hong Kong, assessing different demographic factors and intermediary determinants of health as defined by the CSDH framework (Solar & Irwin [16]). (n = 374)
| Socio-demographics characteristics | |
| Gender | |
| Male | 292 (78.1%) |
| Female | 82 (21.9%) |
| Age Group (Mean: 31.52, SD: ±7.41) | |
| 18–27years | 107 (28.6%) |
| 28–37years | 194 (51.9%) |
| 38–47years | 66 (17.6%) |
| 48years + | 7 (1.9%) |
| Place of origin | |
| North Africa | 13 (3.5%) |
| East Africa | 131 (35.0%) |
| Central Africa | 69 (18.4%) |
| South Africa | 10 (2.7%) |
| Western Africa | 151 (40.4%) |
| Length of Residence in Hong Kong | |
| Less than 5 years | 280 (74.9%) |
| 5 to 10 years | 89 (23.8%) |
| 11years plus | 5 (1.3%) |
| Intermediarydeterminants of health | |
| Material/Living Circumstances | |
| Problems with Accommodation | |
| No | 80 (21.4%) |
| Yes | 294 (78.6%) |
| Problems with food packages | |
| No | 132 (35.3%) |
| Yes | 242 (64.7%) |
| Problems with case officer | |
| No | 174 (46.5%) |
| Yes | 200 (53.5%) |
| Biological/Behavioural Circumstances | |
| Alcohol consumptiona,b | |
| None | 268 (71.7%) |
| Infrequently | 57 (15.2%) |
| Frequently | 49 (13.1%) |
| Smokinga,c | |
| None | 260 (69.5%) |
| Light Smoker | 24 (6.4%) |
| Heavy Smoker | 90 (24.1%) |
| Recreational Drugsa | |
| No | 342 (91.4%) |
| Yes | 32 (8.6%) |
| Exercisea,d | |
| Little or none | 276 (73.8%) |
| Frequent | 98 (26.2%) |
| Multiple Sex partnersa | |
| None | 201 (53.7%) |
| Only one | 117 (31.3%) |
| More than one | 56 (15.0%) |
| Illness, Injury, or symptomsa | |
| No | 193 (51.6%) |
| Yes | 181 (48.4%) |
| Chronic illness | |
| No | 223 (59.6%) |
| Yes | 151 (40.4%) |
| Psychosocial Factors | |
| Religion | |
| Atheist | 14 (3.7%) |
| Christian/Catholic | 211 (56.4%) |
| Muslim | 142 (38.0%) |
| Other | 7 (1.9%) |
| Marital Status | |
| Single | 252 (67.4%) |
| Married | 71 (19.0%) |
| Divorced/Separated/Widowed | 51 (13.6%) |
| Living Companion | |
| Alone | 286 (76.5%) |
| With Family | 65 (17.4%) |
| With Others | 23 (6.1%) |
| PHQ-2 Score (Cut off at 2) | |
| Below 2 | 239 (63.9%) |
| Equal or above 2 | 135 (36.1%) |
| General healthe | |
| Very Good/Excellent | 72 (19.2%) |
| Good | 114 (30.5%) |
| Fair/Poor | 188 (50.3%) |
| Health vs. locals of same agee | |
| Better or Much Better | 162 (43.3%) |
| Same | 133 (35.6%) |
| Worse or Much Worse | 79 (21.1%) |
| Health vs. prior arrival in HKe | |
| Better or Much Better | 148 (39.6%) |
| Same | 110 (29.4%) |
| Worse or Much Worse | 116 (31.0%) |
| PHQ-2 Score (Cut off at 4) | |
| Below 4 | 327 (87.4%) |
| Equal or above 4 | 47 (12.6%) |
a Reported in the past 30 days; b Alcohol Consumption – None = does not drink, infrequently = <5 drinks/week, Frequently = >5 drinks/week; c Smoking – Light Smokers = <10 cigarettes per day, Heavy Smokers = >10 Cigarettes per day; d Exercise – Little or none = <15 days with exercise, Frequent = >15 days with exercise; e Based on the participants own judgement
Basic descriptive of African ASRs in Hong Kong, assessing structural and health system determinants of health as defined by the CSDH framework (Solar & Irwin [16]) (n = 374)
| Health system determinants of health | |
| Satisfaction with Medical Services | |
| Not used | 87 (23.3%) |
| Fair/Poor | 105 (28.1%) |
| Good-Excellent | 182 (48.6%) |
| Admission to hospitala | |
| Yes | 146 (39.0%) |
| No | 228 (61.0%) |
| Difficulties Accessing Medical Facilities | |
| No | 104 (27.8%) |
| Yes | 270 (72.2%) |
| Obtained treatment due to illness/injurya | |
| Yes | 217 (58.0%) |
| No | 157 (42.0%) |
| Structural determinants of health | |
| Socio-economic Position | |
| ASR Status | |
| Refugee | 32 (8.6%) |
| Asylum Seeker Claimant | 172 (46.0%) |
| Torture Claimant | 115 (30.7%) |
| Asylum Seeker & Torture Claimant | 55 (14.7%) |
| Education Level in country of origin | |
| None | 55 (14.7%) |
| Primary | 87 (23.3%) |
| High School | 177 (47.3%) |
| University or above | 55 (14.7%) |
| Occupation in country of origin | |
| Professional | 124 (33.1%) |
| Supervisory | 57 (15.2%) |
| Skilled manual worker | 74 (19.8%) |
| Semi/Unskilled manual worker | 44 (11.8%) |
| Casual worker or unemployed | 75 (20.1%) |
| Discrimination | |
| Everyday Discrimination Scale: Mean = 12.87; SD = ±7.01 | |
| Treated with less respect than localsa | |
| None | 118 (31.5) |
| Not regularly | 96 (25.7) |
| Regularly | 160 (42.8) |
| Receive Poorer Services than localsa | |
| None | 104 (27.8) |
| Not regularly | 83 (22.2) |
| Regularly | 187 (50.0) |
| Considered Not Smarta | |
| None | 100 (26.8) |
| Not regularly | 88 (23.5) |
| Regularly | 186 (49.7) |
| People Fear youa | |
| None | 117 (31.3) |
| Not regularly | 84 (22.4) |
| Regularly | 173 (46.3) |
| Felt threateneda | |
| None | 169 (45.2) |
| Not Regularly | 79 (21.1) |
| Regularly | 126 (33.7) |
aReported in the past 12 months
Crude Odds Ratio (OR) and adjusted Odds Ratio (aOR) analysis of variables significant to positive depression screen using the PHQ-2 on African ASRs in Hong Kong
| Variable | OR | 95%CI | aOR | 95%CI |
|---|---|---|---|---|
| Intermediary determinants of health | ||||
| Age | 1.05 | (1.01–1.09)* | 1.02 | (0.97–1.07) |
| Exercisea,b | 0.37 | (0.15–0.91)* | 0.42 | (0.15–1.15) |
| Illness, Injury, or symptomsa | 2.55 | (1.33–2.17)* | 1.23 | (0.49–3.06) |
| Chronic illness | 2.44 | (1.31–4.56)* | 0.87 | (0.35–2.18) |
| Living Companion (Alone) | ||||
| With Family | 0.30 | (0.09–0.99)* | 0.25 | (0.07–0.88)* |
| Others | 1.29 | (0.41–4.00) | 0.97 | (0.23–4.04) |
| General health ‖ (Very Good/Excellent) | ||||
| Good | 2.46 | (1.66–9.13) | 3.18 | (0.71–14.19) |
| Fair/Poor | 4.90 | (1.45–16.51)* | 5.78 | (1.40–23.81)* |
| Health vs. locals of same agec‖ (Better) | ||||
| Same | 2.65 | (1.30–5.42)* | 2.22 | (0.90–5.49) |
| Worse | 1.49 | (0.60–3.61) | 0.63 | (0.20–1.98) |
| Healthsystem determinants of health | ||||
| Reported difficulties accessing Med Services (Yes) | 2.92 | (1.20–7.11)* | 3.57 | (0.95–13.44) |
| Satisfaction with Medical Services (Not Used) | ||||
| Good - Excellent | 1.27 | (0.43–3.71) | 0.75 | (0.16–3.41) |
| Fair - Poor | 2.88 | (1.16–7.18)* | 0.92 | (0.23–3.67) |
| Obtained treatment due to illness/injuryd | 2.32 | (1.16–4.64)* | 1.19 | (0.44–3.25) |
| Structural determinants of health | ||||
| Everyday Discrimination Scaled | 1.17 | (1.11–1.23)** | 1.17 | (1.10–1.24)** |
a Reported in the past 30 days; b Exercise – Little or none = <15 days with exercise, Frequent = >15 days with exercise; c Based on the participants own judgement; d Reported in the past 12 months. ** p<0.01; * p<0.05