| Literature DB >> 35031067 |
Rita Georges Nohra1,2,3, Elissa Naim4,5, Taghrid Chaaban6,7, Monique Rothan-Tondeur6,8.
Abstract
BACKGROUND: Nurses face multiple stressors that can influence their lifestyle, thus affecting their health status. Scarce are the scientific data on the nutritional status of nurses, especially during health crises. The aim of this study was to assess the impact of the COVID-19 pandemic on the eating habits of hospital nurses in the context of an exceptional economic situation in Lebanon.Entities:
Keywords: COVID-19; Eating habits; Economic crisis; Frontline nurses; Lebanon; Stress
Year: 2022 PMID: 35031067 PMCID: PMC8758992 DOI: 10.1186/s13690-021-00775-1
Source DB: PubMed Journal: Arch Public Health ISSN: 0778-7367
Fig. 1Flyer for social media
Sociodemographic and other characteristics of Lebanese hospital nurses (N = 500)
| Characteristic | Incidence |
|---|---|
| Gender, n(%) | |
| Male | 107 (21.4) |
| Female | 393 (78.6) |
| Age, mean (SD) | 33 (7.44) |
| Marital status, n(%) | |
| Single | 210 (42) |
| Married | 278 (55.6) |
| Divorced | 12 (2.4) |
| Diploma, n(%) | |
| Higher technical | 110 (22) |
| Bachelor’s degree | 275 (55) |
| Master’s degree | 115 (23) |
| Clinical experience (years), mean (SD) | 11 (7) |
| Professional title, n(%) | |
| Registered Nurse | 374 (74.8) |
| Head of Department | 77 (15.4) |
| Supervisor | 45 (9) |
| Working shifts, n(%) | |
| Always day | 212 (42.4) |
| Always night | 71 (14.2) |
| Day and night | 217 (43.4) |
| Number of patients/shift, mean (SD) | 10 (9) |
| Working units, n(%) | |
| COVID-19 special units | 67 (13.4) |
| Other units | 433 (86.6) |
| Caring for COVID-19 patients, n(%) | |
| Yes | 266 (53.2) |
| No | 234 (46.8) |
| Overall satisfaction at work, n(%) | |
| Not satisfied | 118 (23.6) |
| Somewhat satisfied | 179 (35.8) |
| Satisfied | 173 (34.6) |
| Very satisfied | 30 (6) |
| Feeling stressed, n(%) | |
| Yes | 403 (80.6) |
| No | 97 (19.4) |
| Stress triggers, n(%) | |
| Economic crisis | 389 (96.5) |
| COVID-19 contamination risk | 306 (75.9) |
| Wearing PPE (Personal Protective Equipment) | 204 (50.6) |
| Stigmatizing attitudes towards nurses | 220 (54.6) |
| Other | 291 (72.2) |
| Monthly income (LBP) (1,500 LBP =1$), n(%) | |
| < 1 500 000 LL | 257 (51.4) |
| 1 500 000 LL - 2 400 000 LL | 185 (37) |
| 2 500 000 LL -3 400 000 LL | 41 (8.2) |
| >3 500 000 LL | 17 (3.4) |
| Decrease in income due to the economic crisis, n (%) | |
| Yes | 293 (58.6) |
| No | 207 (41.4) |
| Crowding Index, n(%) | |
| ≥ 1 | 288 (57.6) |
| < 1 | 212 (42.4) |
| People under nurse financial charge, n(%) | |
| < 3 | 275 (55) |
| ≥ 3 | 225 (45) |
| Financial difficulties to buy healthy Food, n(%) | |
| Yes | 381 (76.2) |
| No | 119 (23.8) |
| Changing in weight, n(%) | |
| Losing | 169 (33.8) |
| Same | 170 (34) |
| Gaining | 161 (32.2) |
| Changing in eating habits, n(%) | |
| Yes | 353 (70.6) |
| No | 147 (29.4) |
| Nature of the change in eating habits, n(%) | |
| Good change | 111 (31.4) |
| Unfavorable | 242 (68.6) |
| Corrective actions (for the unfavorable change), n(%) | |
| None | 111 (45.8) |
| Workout | 90 (37.1) |
| Dietary counseling | 45 (18.5) |
| Self-management | 139 (57.4) |
| Reasons of changing in eating habits, n(%) | |
| Economic crisis | 282 (79.9) |
| Lockdown | 232 (65.7) |
| Wearing PPE | 120 (33.9) |
| Boosting immune system | 152 (43.05) |
| Other (workload, …) | 252 (71.3) |
Lifestyle perception and eating habits among Lebanese hospital nurses (N = 500)
| Variables | Before crises | During crises |
|---|---|---|
| Weight perception, n(%) | ||
| I am good | 344 (68.8) | 309 (61.8) |
| I am overweight | 122 (24.4) | 136 (27.2) |
| I am underweight | 34 (6.8) | 55 (11) |
| BMI, mean (SD) | 25.76 (5.1) | 25.64 (4.933) |
| Weight (Kg), mean (SD) | 70.23 (16) | 69.94 (15.82) |
| Physical activities, n(%) | ||
| Inactive (no physical activity outside the profession) | 161 (32.2) | 269 (53.8) |
| Moderately active (at least twice a week) | 269 (53.8) | 193 (38.6) |
| Very active (more than three times a week) | 70 (14) | 38 (7.6) |
| Smoking, n(%) | ||
| Non-smoker or ex-smoker | 339 (67.8) | 332 (66.4) |
| Light or moderate smoker (<1pack.day) | 147 (29.4) | 141 (28.2) |
| Heavy smoker (> 1 pack/day) | 14 (2.8) | 27 (5.4) |
| Alcohol consumption, n(%) | ||
| Never | 461 (92.2) | 460 (92) |
| Once a day (≤ 7 times a week for women) twice a day (≤14 times a week for men) | 35 (7) | 35 (7) |
| > once a day (> 7 times a week for women) > twice a day (>14 times a week for men) | 4 (0.8) | 5 (1) |
| Fluid intake ≥2 L of water per day, n(%) | ||
| Never | 76 (15.2) | 74 (14.8) |
| Sometimes | 258 (51,6) | 250 (50) |
| Frequently | 104 (20.8) | 113 (22.6) |
| Every day | 62 (12.4) | 63 (12.6) |
| Consumption of the 3 main meals (Breakfast, lunch, dinner) per day, n (%) | ||
| Never | 40 (8) | 67 (13.4) |
| Sometimes | 232 (46.4) | 257 (51.4) |
| Frequently | 135 (27) | 108 (21.6) |
| Every day | 93 (18.6) | 68 (13.6) |
| Taking meal breaks during duty, n(%) | ||
| Never | 72 (14.4) | 104 (20.8) |
| Sometimes | 268 (53.6) | 275 (55) |
| Frequently | 107 (21.4) | 81 (16.2) |
| Every day | 53 (10.6) | 40 (8) |
| Snacks consumption in between meals, n(%) | ||
| Never | 96 (19.2) | 155 (31) |
| Sometimes | 295 (59) | 262 (52.4) |
| Frequently | 89 (17.8) | 67 (13.4) |
| Every day | 20 (4) | 16 (3.2) |
| Order manakesh, fries, chips, falafels, shawarma, burgers, pizzas, desserts during duty, n(%) | ||
| Never | 70 (14) | 221 (44.2) |
| Sometimes | 301 (60.2) | 222 (44.4) |
| Frequently | 114 (22.8) | 53 (10.6) |
| Every day | 15 (3) | 4 (0.8) |
Fig. 2The decrease in the consumption of different food groups (%)
Association between socioeconomic, demographic and stress with eating habits: Bivariate analysis
| Variables | Decrease consumption | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Meat | Milk and dairy products | Fruits | Vegetables | ||||||
| Incidence, n | Incidence, n | Incidence, n | Incidence, n | ||||||
| Gender | Male | 49 | 0.480 | 36 | 0.410 | 36 | 0.406 | 32 | |
| Female | 165 | 116 | 117 | 73 | |||||
| Age | < 26 | 63 | 0.158 | 41 | 0.335 | 42 | 0.577 | 25 | 0.347 |
| 26 - 32 | 56 | 37 | 38 | 28 | |||||
| 32 -39 | 51 | 42 | 39 | 26 | |||||
| >39 | 44 | 32 | 34 | 26 | |||||
| Clinical experience (years) | ≤10 | 116 | 0.817 | 81 | 0.654 | 82 | 0.739 | 61 | 0.445 |
| >10 | 98 | 71 | 71 | 44 | |||||
| Caring of COVID- 19 patients | Yes | 91 | 0.097 | 63 | 0.113 | 60 | 39 | ||
| No | 123 | 89 | 93 | 65 | |||||
| Stress | Yes | 188 | 22 | 0.066 | 132 | 92 | |||
| No | 26 | 22 | 21 | 13 | |||||
| Monthly income | ≤2500 | 200 | 137 | 0.424 | 136 | 0.812 | 91 | 0.533 | |
| >2500 | 14 | 15 | 17 | 14 | |||||
| Decrease in income | Yes | 148 | 100 | 106 | 64 | 0.582 | |||
| No | 66 | 52 | 47 | 41 | |||||