| Literature DB >> 35684052 |
Amin N Olaimat1, Islam K Alshami1, Huda Al Hourani1, Wafaa Sarhan2, Murad Al-Holy1, Mahmoud Abughoush1,3, Narmeen Jamal Al-Awwad1, Maha Hoteit4,5,6, Ayoub Al-Jawaldeh7.
Abstract
The 2019 coronavirus disease (COVID-19) is an emerging respiratory infection with severe impacts on the nutritional status of the worldwide population. This cross-sectional study was conducted to assess the food insecurity, dietary diversity, and food-related coping strategies in Jordan during the pandemic using an online, self-administered questionnaire. Among the 740 adults who completed the survey, the prevalence of food security was 84.1%, whereas 2% and 13.9% were moderately and severely food-insecure, respectively. The determinants of food insecurity were educational level, monthly income, marital status, availability of health insurance, and type of residence. In addition, food insecurity was significantly higher among the participants who consumed two or fewer meals per day (p = 0.015). Moreover, an acceptable food consumption score was shown among 76.2% of the participants, and the remaining participants were at borderline (14.1%) or had poor scores (9.7%), with a significant association between food insecurity and food consumption scores (p < 0.001). The food-related coping strategies studied were significantly associated with food insecurity at both levels (p < 0.001) and were more evident in the severely food-insecure group. These findings highlight the adverse effects of COVID-19 restrictions on nutritional status, especially among food-insecure households, which might reduce food accessibility due to economic difficulties.Entities:
Keywords: COVID-19; Jordan; food consumption; food security; food-based coping strategies
Mesh:
Year: 2022 PMID: 35684052 PMCID: PMC9182708 DOI: 10.3390/nu14112252
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 6.706
Food groups and their particular weights.
| Food Group | Food Items (Examples) | Weight |
|---|---|---|
| Main staples | Bread, rice, macaroni, cereals | 2 |
| Pulses | Broad beans, beans, chickpeas | 3 |
| Vegetables | All types of vegetables | 1 |
| Fruits | All types of vegetables | 1 |
| Meat/Fish | Beef, lamb, poultry, eggs, fish, organ meat | 4 |
| Milk | Milk, yogurt, cheese, labneh | 4 |
| Sugar | Sugar, sugar product, honey | 0.5 |
| Oil | Vegetable oils, butter, ghee | 0.5 |
| Condiments | Spices | 0 |
Socio-demographic characteristics of participants with data on household food insecurity during the COVID-19 pandemic.
| Variables | Total | Food Security Status | ||||
|---|---|---|---|---|---|---|
| Food-Secure | Moderate Food Insecurity 15 (2.0) | Severe Food Insecurity 103 (13.9) | ||||
| Gender | Male | 160 (21.6) | 133 (83.1) | 3 (1.9) | 24 (15.0) | 0.898 |
| Female | 580 (78.4) | 489 (84.3) | 12 (2.1) | 79 (13.6) | ||
| Age | 18–49 years | 686 (92.7) | 576 (84.0) | 12 (1.7) | 98 (14.3) | 0.106 |
| 50 years and more | 54 (7.3) | 46 (85.2) | 3 (5.6) | 5 (9.3) | ||
| Educational level | Secondary school or less | 68 (9.2) | 43 (63.2) | 1 (1.5) | 24 (35.3) | <0.001 |
| Diploma or bachelor | 502 (67.8) | 421 (83.9) | 14 (2.8) | 67 (13.3) | ||
| Postgraduate | 170 (23.0) | 158 (92.9) | 0 (0.0) | 12 (7.1) | ||
| Marital status | Single | 407 (55.0) | 360 (88.5) | 4 (1.0) | 43 (10.6) | 0.001 |
| Married | 315 (42.6) | 251 (79.7) | 10 (3.2) | 54 (17.1) | ||
| Divorced or widowed | 18 (2.4) | 11 (61.1) | 1 (5.6) | 6 (33.3) | ||
| Number of children | None | 472 (63.8) | 416 (88.1) | 4 (0.8) | 52 (11.0) | 0.003 |
| Less than 3 | 109 (14.7) | 86 (78.9) | 4 (3.7) | 19 (17.4) | ||
| 3–5 children | 137 (18.5) | 103 (75.2) | 6 (4.4) | 28 (20.4) | ||
| More than 5 children | 22 (3.0) | 17 (77.3) | 1 (4.5) | 4 (18.2) | ||
| Residence | City | 632 (85.4) | 531 (84.0) | 15 (2.4) | 86 (13.6) | 0.239 |
| Village | 108 (14.6) | 91 (84.3) | 0 (0.0) | 17 (15.7) | ||
| Job of the head of the family | Employee at private sector | 268 (36.2) | 229 (85.4) | 4 (1.5) | 35 (13.1) | 0.624 |
| Employee at governmental sector | 195 (26.4) | 165 (84.6) | 4 (2.1) | 26 (13.3) | ||
| Free business | 159 (21.5) | 130 (81.8) | 6 (3.8) | 23 (14.5) | ||
| Unemployed | 118 (15.9) | 98 (83.1) | 1 (0.8) | 19 (16.1) | ||
| Number of employees working in the family | 0–1 person | 387 (52.3) | 312 (80.6) | 7 (1.8) | 68 (17.6) | 0.023 |
| 2–4 people | 334 (45.1) | 291 (87.1) | 8 (2.4) | 35 (10.5) | ||
| More than 4 | 19 (2.6) | 19 (100.0) | 0 (0.0) | 0 (0.0) | ||
| Type of residence | Own residence | 523 (70.7) | 460 (88.0) | 7 (1.3) | 56 (10.7) | <0.001 |
| Rented residence | 217 (29.3) | 162 (74.7) | 8 (3.7) | 47 (21.7) | ||
| Monthly income | Less than JOD 500 * | 218 (29.5) | 153 (70.2) | 6 (2.8) | 59 (27.1) | <0.001 |
| JOD 501–1000 | 334 (45.1) | 294 (88.0) | 6 (1.8) | 34 (10.2) | ||
| More than JOD 1000 | 188 (25.4) | 175 (93.1) | 3 (1.6) | 10 (5.3) | ||
| Number of family members | Less than 4 | 260 (35.1) | 218 (83.8) | 5 (3.3) | 37 (14.2) | 0.694 |
| 4–7 members | 388 (52.4) | 331 (85.3) | 7 (1.8) | 50 (12.9) | ||
| More than 7 | 92 (12.4) | 73 (79.3) | 3 (3.3) | 16 (17.4) | ||
| Availability of health insurance | Yes | 491 (66.4) | 426 (86.8) | 4 (0.8) | 61 (12.4) | 0.001 |
| No | 249 (33.6) | 196 (78.7) | 11 (4.4) | 42 (16.9) | ||
* JOD 1 = USD 1.4, the average income is JOD 500.
Multinomial logistic regression analysis of food security status in Jordan during the COVID-19 pandemic.
| Variables | Food Security Status | ||
|---|---|---|---|
| Moderate Food Insecurity | Severe Food Insecurity | ||
| Gender | Male | 0.919 (0.256–3.306) | 1.117 (0.681–1.833) |
| Female |
|
| |
| Age | 18–49 years | 0.319 (0.087–1.172) | 1.565 (0.607–4.037) |
| 50 years and more |
|
| |
| Educational level | Secondary school or less | ND | 7.349 (3.401–15.881) ** |
| Diploma or bachelor | ND | 2.095 (1.104–3.978) * | |
| Postgraduate |
|
| |
| Marital status | Single | 0.122 (0.013–1.185) | 0.219 (0.077–0.622) * |
| Married | 0.438 (0.051–3.734) | 0.394 (0.140–1.113) | |
| Divorced or widowed |
|
| |
| Number of children | None | 0.163 (0.017–1.542) | 0.531 (0.172–1.639) |
| Less than 3 | 0.791 (0.083–7.519) | 0.939 (0.284–3.109) | |
| 3–5 children | 0.990 (0.112–8.745) | 1.155 (0.360–3.710) | |
| More than 5 children |
|
| |
| Residence | City | ND | 0.867 (0.492–1.527) |
| Village |
|
| |
| The job of the head of the family | Employee at the private sector | 1.712 (0.189–15.511) | 0.788 (0.430–1.446) |
| Employee at governmental sector | 2.376 (0.262–21.560) | 0.813 (0.428–1.545) | |
| Free business | 4.523 (0.536–38.182) | 0.913 (0.471–1.769) | |
| Unemployed |
|
| |
| Type of residence | Own residence | 0.308 (0.110–0.863) * | 0.420 (0.274–0.643) ** |
| Rented residence |
|
| |
| Monthly income | Less than JOD 500 | 2.288 (0.563–9.302) | 6.748 (3.336–13.651) ** |
| JOD 501–1000 | 1.190 (0.294–4.820) | 2.024 (0.976–4.197) | |
| More than JOD 1000 |
|
| |
| Number of family members | Less than 4 | 0.558 (0.130–2.393) | 0.774 (0.407–1.474) |
| 4–7 members | 0.515 (0.130–2.037) | 0.689 (0.372–1.278) | |
| More than 7 |
|
| |
| Availability of health insurance | Yes | 0.167 (0.053–0.532) * | 0.668 (0.436–1.025) |
| No |
|
| |
* p < 0.05, ** p < 0.001.
Weekly food group consumption among the study population stratified by food security status.
| Variables | Total | Food Security Status | ||||
|---|---|---|---|---|---|---|
| Food-Secure | Moderate Food Insecurity | Severe Food Insecurity | ||||
| Number of meals per day (1 day before) | 2 meals or less | 465 (62.8) | 380 (81.7) | 14 (3.0) | 71 (15.3) | 0.015 |
| More than 2 meals | 275 (37.2) | 242 (88.0) | 1 (0.4) | 32 (11.6) | ||
| The actual number of meals as reported | As usual | 644 (87.0) | 554 (86.0) | 11 (1.7) | 79 (12.3) | <0.001 |
| Less than usual | 79 (10.7) | 52 (65.8) | 4 (5.1) | 23 (29.1) | ||
| More than usual | 17 (2.3) | 16 (94.1) | 0 (0.0) | 1 (5.9) | ||
| Food group consumption in the previous 7 days | ||||||
| Cereals | 3 days and fewer | 306 (41.4) | 240 (78.4) | 9 (2.9) | 57 (18.6) | 0.002 |
| 4 days and more | 434 (58.6) | 382 (88.0) | 6 (1.4) | 46 (10.6) | ||
| White tubers | 3 days and fewer | 654 (88.4) | 544 (83.2) | 14 (2.1) | 96 (14.7) | 0.201 |
| 4 days and more | 86 (11.6) | 78 (90.7) | 1 (1.2) | 7 (8.1) | ||
| Vegetables | 3 days and fewer | 431 (58.2) | 345 (80.0) | 12 (2.8) | 74 (17.2) | 0.002 |
| 4 days and more | 309 (41.8) | 277 (89.6) | 3 (1.0) | 29 (9.4) | ||
| Fruits | 3 days and fewer | 453 (61.2) | 354 (78.1) | 13 (2.9) | 86 (19.0) | <0.001 |
| 4 days and more | 287 (38.8) | 268 (93.4) | 2 (0.7) | 17 (5.9) | ||
| Eggs | 3 days and fewer | 591 (79.9) | 487 (82.4) | 15 (2.5) | 89 (15.1) | 0.024 |
| 4 days and more | 149 (20.1) | 135 (90.6) | 0 (0.0) | 14 (9.4) | ||
| Legumes and nuts | 3 days and fewer | 563 (76.1) | 458 (81.3) | 13 (2.3) | 92 (16.3) | 0.002 |
| 4 days and more | 177 (23.9) | 164 (92.7) | 2 (1.1) | 11 (6.2) | ||
| Milk and dairy products | 3 days and fewer | 473 (63.9) | 378 (79.9) | 13 (2.7) | 82 (17.3) | <0.001 |
| 4 days and more | 267 (36.1) | 244 (91.4) | 2 (0.7) | 21 (7.9) | ||
| Oil and fat | 3 days and fewer | 415 (56.1) | 330 (79.5) | 12 (2.9) | 73 (17.6) | 0.001 |
| 4 days and more | 325 (43.9) | 292 (89.8) | 3 (0.9) | 30 (9.2) | ||
| Sugar | 3 days and fewer | 434 (58.6) | 343 (79.0) | 13 (3.0) | 78 (18.0) | <0.001 |
| 4 days and more | 306 (41.4) | 279 (91.2) | 2 (0.7) | 25 (8.2) | ||
| Spices and condiments | 3 days and fewer | 341 (46.1) | 260 (76.2) | 12 (3.5) | 69 (20.2) | <0.001 |
| 4 days and more | 399 (53.9) | 362 (90.7) | 3 (0.8) | 34 (8.5) | ||
| Meat and poultry | 3 days and fewer | 369 (49.9) | 279 (75.6) | 10 (2.7) | 80 (21.7) | <0.001 |
| 4 days and more | 371 (50.1) | 343 (92.5) | 5 (1.3) | 23 (6.2) | ||
| Fish | 3 days and fewer | 706 (95.4) | 593 (84.0) | 14 (2.0) | 99 (14.0) | 0.873 |
| 4 days and more | 34 (4.6) | 29 (85.3) | 1 (2.9) | 4 (11.8) | ||
Figure 1Food consumption scores among the participants according to food security status.
Food-based coping strategies in the previous seven days.
| Variables | Total | Food Security Status | ||||
|---|---|---|---|---|---|---|
| Food-Secure | Moderate Food Insecurity | Severe Food Insecurity | ||||
| Eating cheaper foods | 3 days and fewer | 718 (97.0) | 610 (85.0) | 15 (2.1) | 93 (13.0) | <0.001 |
| 4 days and more | 22 (3.0) | 12 (54.5) | 0 (0.0) | 10 (45.5) | ||
| Borrowing food | 3 days and fewer | 728 (98.4) | 614 (84.3) | 14 (1.9) | 100 (13.7) | 0.142 |
| 4 days and more | 12 (1.6) | 8 (66.7) | 1 (8.3) | 3 (25.0) | ||
| Eating less meals to spare food for children | 3 days and fewer | 718 (97.0) | 610 (85.0) | 13 (1.8) | 95 (13.2) | <0.001 |
| 4 days and more | 22 (3.0) | 12 (54.5) | 2 (9.1) | 8 (36.4) | ||
| Eating small amounts | 3 days and fewer | 717 (96.9) | 611 (85.2) | 12 (1.7) | 94 (13.1) | <0.001 |
| 4 days and more | 23 (3.1) | 11 (47.8) | 3 (13.0) | 9 (39.1) | ||
| Adults only eat less to spare food for children | 3 days and fewer | 715 (96.6) | 609 (85.2) | 14 (2.0) | 92 (12.9) | <0.001 |
| 4 days and more | 25 (3.4) | 13 (52.0) | 1 (4.0) | 103 (13.9) | ||
Figure 2Quality and quantity of consumed foods during the COVID-19 pandemic.