Bridging the Knowledge Gap: A National Survey on MASLD Awareness and Management Barriers in the Saudi Population
Abstract
1. Introduction
2. Methods
2.1. Study Setting
2.2. Study Tool
2.3. Data Analysis
3. Results
3.1. Knowledge of Participants About NAFLD
3.2. Attitude of Participants About NAFLD
3.3. Current NAFLD Management Status and Barriers
3.4. Perceptions on Long-Term Management and Program Participation
4. Discussion
5. Recommendations
6. Limitations
7. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Variable | n (%) |
|---|---|
| Gender | |
| Male | 231 (46) |
| Female | 271 (54) |
| Age | |
| 18–24 | 257 (51.2) |
| 25–33 | 53 (10.6) |
| 34–51 | 122 (24.3) |
| 52–64 | 57 (11.4) |
| >65 | 9 (1.8) |
| Job | |
| Employer | 172 (34.3) |
| Unemployed | 45 (9.0) |
| Students | 240 (47.8) |
| Retired | 45 (9.0) |
| Education level | |
| High school | 88 (17.5) |
| University | 384 (76.3) |
| Postgraduate | 30 (6.0) |
| body index | |
| below normal | 36 (7.2) |
| Normal | 230 (45.8) |
| Overweight | 148 (29.5) |
| Obesity | 34 (6.8) |
| I don’t know | 54 (10.8) |
| Variables | n (%) |
|---|---|
| Do you think you can get fatty liver without drinking alcohol? | |
| Yes | 226 (45) |
| No | 69 (13.7) |
| I don’t know | 207 (41.2) |
| Have you ever heard of the term “non-alcoholic fatty liver disease” or “fatty liver” | |
| Yes | 237 (47.2) |
| No | 265 (52.8) |
| Do you think non-alcoholic fatty liver disease is a disease that requires hospital treatment? | |
| Agree | 300 (59.8) |
| Disagree | 27 (5.4) |
| I don’t know | 175 (34.9) |
| NAFLD is life-threatening | |
| Yes | 255 (50.8) |
| No | 34 (6.8) |
| I don’t know | 212 (42.2) |
| Methods for diagnosis | |
| Body mass index | 40 (8) |
| Ultra sound | 40 (8) |
| Blood test | 49 (9.8) |
| All the above | 236 (47.6) |
| I don’t know | 133 (26.5) |
| Variables | n (%) |
|---|---|
| Change the diet (reduce sugars, processed foods, and saturated fats) | 333 (66.3) |
| Physical activity | 326 (64.9) |
| Controlling blood sugar levels for patients with diabetes, using medications if necessary | 171 (34.3) |
| Vitamins | 155 (30.9) |
| Lowering cholesterol and triglyceride levels through diet and medication if necessary | 275 (54.8) |
| Eat a balanced diet rich in vegetables, fruits, and healthy proteins, with an emphasis on fiber and whole grains. | 305 (60.8) |
| Variables | Knowledge Levels | 95% Confidence Interval (CI) | p-Value | |||
|---|---|---|---|---|---|---|
| Good n (%) | Fair n (%) | Poor n (%) | Total | |||
| Gender | ||||||
| Male | 61 (26.4) | 91 (39.4) | 79 (34.2) | 231 | 0.2 to 0.4 | 0.514 |
| Female | 64 (23.6) | 101 (37.3) | 106 (39.1) | 271 | 0.18 to 0.4 | |
| Age | ||||||
| 18–24 | 42 (16.3) | 108 (42.0) | 107 (41.6) | 257 | 0.1 to 0.5 | 0.002 * |
| 25–33 | 17 (29.8) | 20 (35.1) | 20 (35.1) | 57 | 0.2 to 0.5 | |
| 34–51 | 43 (35.2) | 38 (31.1) | 41 (33.6) | 122 | 0.2 to 0.4 | |
| 52–64 | 21 (36.8) | 21 (36.8) | 15 (26.3) | 57 | 0.1 to 0.6 | |
| 65 and above | 2 (22.2) | 5 (55.6) | 2 (22.2) | 9 | 0.03 to 1.3 | |
| Job | ||||||
| Employer | 58 (33.7) | 55 (32.0) | 59 (34.3) | 172 | 0.24 to 0.44 | 0.001 * |
| Unemployed | 14 (31.1) | 18 (40.0) | 13 (28.9) | 45 | 0.15 to 0.63 | |
| Students | 38 (15.8) | 99 (41.3) | 103 (42.9) | 240 | 0.11 to 0.52 | |
| Retired | 15 (33.3) | 20 (44.4) | 10 (22.2) | 45 | 0.11 to 0.69 | |
| Education level | ||||||
| High school | 23 (26.1) | 37 (42.0) | 29 (31.8) | 88 | 0.16 to 0.58 | 0.008 * |
| University | 87 (22.7) | 145 (37.8) | 152 (39.6) | 384 | 0.18 to 0.46 | |
| Postgraduate | 15 (50.0) | 10 (33.3) | 5 (16.7) | 30 | 0.05 to 0.82 | |
| Body mass index | ||||||
| Below normal | 5 (13.9) | 15 (41.7) | 16 (44.4) | 36 | 0.05 to 0.72 | 0.230 |
| Normal | 52 (22.6) | 88 (38.3) | 90 (39.1) | 230 | 0.16 to 0.48 | |
| Overweight | 45 (30.4) | 56 (37.8) | 47 (31.8) | 148 | 0.22 to 0.49 | |
| Obesity | 13 (38.2) | 11 (32.4) | 10 (29.4) | 34 | 0.14 to 0.58 | |
| I don’t know | 10 (18.5) | 22 (40.7) | 22 (40.7) | 54 | 0.09 to 0.62 | |
| Variables | Yes n (%) | No n (%) |
|---|---|---|
| Do you believe that obesity causes NAFLD | 243 (48.4) | 259 (51.6) |
| Do you believe that NAFLD is caused by diabetes? | 146 (29.1) | 356 (70.9) |
| Do you believe that hypertension affects NAFLD? | 120 (23.9) | 382 (76.1) |
| Do you believe that liver cancer can be caused by NAFLD? | 215 (42.8) | 287 (57.2) |
| Do you believe that high blood cholesterol cause NAFLD? | 260 (51.8) | 242 (48.2) |
| Do you think that NAFLD can cause cardiovascular diseases | 149 (29.7) | 353 (70.3) |
| Variables | Knowledge Levels | 95% Confidence Interval (CI) | p-Value | |||
|---|---|---|---|---|---|---|
| Good n (%) | Fair n (%) | Poor n (%) | Total | |||
| Gender | ||||||
| Male | 64 (27.7) | 83 (35.9) | 84 (36.4) | 231 | 0.23 to 0.45 | 0.520 |
| Female | 68 (25.1) | 91 (33.6) | 112 (41.3) | 271 | 0.19 to 0.49 | |
| Age | ||||||
| 18–24 | 72 (28.0) | 82 (31.9) | 103 (40.1) | 257 | 0.22 to 0.49 | 0.614 |
| 25–33 | 12 (21.1) | 23 (40.4) | 22 (38.6) | 57 | 0.11 to 0.61 | |
| 34–51 | 26 (21.3) | 47 (38.5) | 49 (40.2) | 122 | 0.14 to 0.51 | |
| 52–64 | 19 (33.3) | 18 (31.6) | 20 (35.1) | 57 | 0.18 to 0.54 | |
| 65 and above | 3 (33.3) | 4 (44.4) | 2 (22.2) | 9 | 0.07 to 1.1 | |
| Job | ||||||
| Employer | 43 (25.0) | 62 (36.0) | 67 (39.0) | 172 | 0.18 to 0.49 | 0.725 |
| Unemployed | 9 (20.0) | 17 (37.8) | 19 (42.2) | 45 | 0.09 to 0.66 | |
| Students | 70 (29.2) | 76 (31.7) | 94 (39.2) | 240 | 0.23 to 0.47 | |
| Retired | 10 (22.2) | 19 (42.2) | 16 (35.6) | 45 | 0.11 to 0.58 | |
| Education level | ||||||
| High school | 26 (29.5) | 33 (37.5) | 29 (33.0) | 88 | 0.19 to 52 | 0.261 |
| University | 94 (24.5) | 132 (34.4) | 158 (41.1) | 384 | 0.19 to 0.48 | |
| Postgraduate | 12 (40.0) | 9 (30.0) | 9 (30.0) | 30 | 0.13 to 0.69 | |
| Body mass index | ||||||
| Under normal | 8 (22.2) | 8 (22.2) | 20 (55.6) | 36 | 0.01 to 0.85 | 0.084 |
| Normal | 62 (27.0) | 73 (31.7) | 95 (41.3) | 230 | 0.21 to 0.51 | |
| Overweight | 43 (29.1) | 57 (38.5) | 48 (32.4) | 148 | 0.21 to 0.49 | |
| Obesity | 11 (32.4) | 14 (41.2) | 9 (26.5) | 34 | 0.12 to 0.69 | |
| I don’t know | 8 (14.8) | 22 (40.7) | 24 (44.4) | 54 | 0.06 to 0.66 | |
| Variables | n (%) |
|---|---|
| Diagnosis with NAFLD | |
| Yes | 39 (7.8) |
| No | 453 (92.2) |
| During your hospital visit, have you been recommended to change your lifestyle? | |
| Yes | 29 (74.4) |
| No | 10 (25.6) |
| Did you visit the hospital for more tests and management of NAFLD? | |
| Yes (go to the prevention/management question) | 24 (61.5) |
| No (go to the reason question) | 15 (38.5) |
| Your reason for not following-up with another hospital visit? (Multiple answers allowed) (n = 15) | |
| Not considered fatty liver a serious disease. | 5 (33.3) |
| I believed that by changing my lifestyle on my own, I could control the illness (weight management, exercise management, etc.). | 7 (46.7) |
| Lack of time to visit the hospital. | 2 (13.3) |
| The cost of medical care. | 4 (26.7) |
| My doctor has never advised me that I require illness management. | 5 (46.7) |
| Prevention/management of NAFLD (Multiple answers allowed) (n = 24) | |
| I am not managing my NAFLD in any specific way. | 8 (33.3) |
| Supplements for hyperlipidemia and the liver are available at pharmacies or online. | 5 (20.8) |
| Hospital-prescribed drugs for hyperlipidemia and liver. | 6 (25) |
| Reduction in calorie intake. | 5 (20.8) |
| Increase in the amount of exercise. | 7 (29.2) |
| Weight loss. | 10 (41.7) |
| Variables | n (%) |
|---|---|
| What do you think is the most important aspect of managing long-term non-alcoholic fatty liver disease? (Multiple answers) | |
| Make time for lifestyle changes | 320 (63.7) |
| Health with treatment costs | 221 (44) |
| Providing nutritional advice and periodic management by a nutritionist | 286 (57) |
| Providing advice on how to exercise and periodic management by a sports specialist | 232 (46.2) |
| Instructions on proper diet and exercise provided by a physician | 283 (56.4) |
| If there is a mobile app for the prevention or management of non-alcoholic fatty liver disease, would you be willing to participate? | |
| Strongly agree | 172 (34.3) |
| Agree | 47 (9.4) |
| Neutral | 122 (24.3) |
| Disagree | 61 (12.2) |
| Strongly disagree | 100 (19.9) |
| If there is a program to visit public health centers to prevent or manage non-alcoholic fatty liver disease, would you be willing to participate? | |
| Willing to actively participate | 172 (34.3) |
| Willing to participate | 47 (9.4) |
| Neutral | 122 (24.3) |
| Little interest in participating | 61 (12.2) |
| No interest in participating | 100 (19.9) |
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Alwhaibi, A.; Mansy, W.; Syed, W.; Babelghaith, S.D.; N-Alarifi, M. Bridging the Knowledge Gap: A National Survey on MASLD Awareness and Management Barriers in the Saudi Population. Healthcare 2025, 13, 3322. https://doi.org/10.3390/healthcare13243322
Alwhaibi A, Mansy W, Syed W, Babelghaith SD, N-Alarifi M. Bridging the Knowledge Gap: A National Survey on MASLD Awareness and Management Barriers in the Saudi Population. Healthcare. 2025; 13(24):3322. https://doi.org/10.3390/healthcare13243322
Chicago/Turabian StyleAlwhaibi, Abdulrahman, Wael Mansy, Wajid Syed, Salmeen D. Babelghaith, and Mohamed N-Alarifi. 2025. "Bridging the Knowledge Gap: A National Survey on MASLD Awareness and Management Barriers in the Saudi Population" Healthcare 13, no. 24: 3322. https://doi.org/10.3390/healthcare13243322
APA StyleAlwhaibi, A., Mansy, W., Syed, W., Babelghaith, S. D., & N-Alarifi, M. (2025). Bridging the Knowledge Gap: A National Survey on MASLD Awareness and Management Barriers in the Saudi Population. Healthcare, 13(24), 3322. https://doi.org/10.3390/healthcare13243322

