| Literature DB >> 36197929 |
Satish Chandrasekhar Nair1,2, Jayadevan Sreedharan3, Karthyayani Priya Satish4, Halah Ibrahim5.
Abstract
INTRODUCTION: Health literacy is a powerful predictor of health outcomes, but remains a global challenge. There is a paucity of published data and limited understanding of the health literacy of patients in the Middle East. The purpose of this study was to assess the patient health literacy levels in the United Arab Emirates (UAE) and identify associated demographic characteristics.Entities:
Mesh:
Year: 2022 PMID: 36197929 PMCID: PMC9534436 DOI: 10.1371/journal.pone.0275579
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Fig 1Participant distribution across the seven emirates of the United Arab Emirates (N = 2349).
Demographics of participants in the UAE outpatient clinics (N = 2349).
| Demographic Variable | n (%N) |
|---|---|
|
| |
| Men | 980 (41.7) |
| Women | 1369 (58.3) |
|
| |
| 18–30 | 398 (16.9) |
| 31–50 | 646 (27.5) |
| 51–65 | 804 (34.2) |
| 66–75 | 501 (21.3) |
|
| |
| No secondary education | 629 (27) |
| High School | 1023 (43.6) |
| Bachelors/Postgraduate degree | 677 (29.1) |
|
| |
| GCC | 1050 (44.6) |
| Arab (not GCC) | 434 (33.6) |
| Asia | 595 (69.2) |
| Europe/North America | 181 (68.5) |
| Africa | 83 (3.5) |
|
| |
| Cardiology | 336 (14.3) |
| Dental | 286 (12.2) |
| Infectious Diseases | 526 (22.4) |
| Metabolic | 640 (27.2) |
| Surgery | 561 (23.9) |
GCC = Gulf Cooperation Council.
Association between health literacy levels and participant demographics (N = 2349).
| Variable | Group | Literacy Levels | p Value | ||
|---|---|---|---|---|---|
| Inadequate | Marginal | Adequate | |||
| n (%) | n (%) | n (%) | |||
|
| Male | 136 (13.9) | 717 (73.2) | 127 (13.0) | <0.001 |
| Female | 702 (51.3) | 239 (17.5) | 428 (31.3) | ||
|
| 18 - 30Y | 38 (9.5) | 108 (27.1) | 252 (63.3) | <0.001 |
| 31 - 50Y | 156 (24.1) | 248 (38.4) | 242 (37.5) | ||
| 51 - 65Y | 394 (49.0) | 355 (44.2) | 55 (6.8) | ||
| 66-75Y | 250 (49.9) | 245 (48.9) | 6 (1.2) | ||
|
| No Secondary Education | 279 (44.4) | 258 (41.0) | 92 (14.6) | <0.001 |
| High School | 271 (26.5) | 440 (43.0) | 312 (30.5) | ||
| Bachelors/ Post Graduate Degree | 273 (40.3) | 253 (37.4) | 151 (22.3) | ||
|
| GCC | 366 (34.9) | 391 (37.2) | 293 (27.9) | <0.001 |
| Arab (non GCC) | 178 (41.0) | 180 (41.5) | 76 (17.5) | ||
| Asia | 151 (25.4) | 303 (50.9) | 141 (23.7) | ||
| Europe/North America | 107 (59.1) | 40 (22.1) | 34 (18.8) | ||
| Africa | 32 (38.6) | 40 (48.2) | 11 (13.3) | ||
Ordinal regression model-determination of marginal and adequate health literacy.
| Estimate | Stand. Error | Wald | df | Sig. | 95% Confidence Interval | OR | |||
|---|---|---|---|---|---|---|---|---|---|
| Lower Bound | Upper Bound | ||||||||
| Threshold | [Health literacy = 1.00] | -0.23 | 0.21 | 1.25 | 1 | NS | -0.64 | 0.18 | |
| [Health literacy = 2.00] | 2.14 | 0.21 | 100 | 1 | < .001 | 1.72 | 2.56 | ||
| Location | [Gender = Male] | 0.69 | 0.09 | 63.84 | 1 | < .001 | 0.52 | 0.86 | 2 |
| [Gender = Female] | 0a | . | . | 0 | . | . | . | 1 | |
| [Age = 18-30Y] | 3.62 | 0.21 | 310.66 | 1 | < .001 | 3.22 | 4.03 | 37.4 | |
| [Age = 31-50Y] | 1.38 | 0.19 | 53.45 | 1 | < .001 | 1.01 | 1.75 | 4 | |
| [Age = 51-65Y] | -0.18 | 0.19 | 0.87 | 1 | NS | -0.54 | 0.19 | 0.8 | |
| [Age = 65-75Y] | 0a | . | . | 0 | . | . | . | 2.7 | |
| [Education = No Secondary Education] | 0.73 | 0.19 | 15.36 | 1 | < .001 | 0.37 | 1.1 | 2.1 | |
| [Education = High School | 0.18 | 0.11 | 3.03 | 1 | NS | -0.02 | 0.39 | 1.2 | |
| [Education = Bachelor’s & Post Graduate Degree | 0a | . | . | 0 | . | . | . | 1 | |
| [Nation = GCC | -1.45 | 0.17 | 72.24 | 1 | < .001 | -1.79 | -1.12 | 0.2 | |
| [Nation = Middle East Arabs] | -0.6 | 0.12 | 23.47 | 1 | < .001 | -0.85 | -0.36 | 0.5 | |
| [Nation = Asia] | 0a | . | . | 0 | . | . | . | 1 | |
| [Nation = America and Europe] | -0.93 | 0.17 | 28.87 | 1 | < .001 | -1.27 | -0.59 | 0.4 | |
| [Nation = Africa] | -1.1 | 0.24 | 21.95 | 1 | < .001 | -1.56 | -0.64 | 0.3 | |
NS = not significant.