| Literature DB >> 34956785 |
Intessar Sultan1, Roba A Alobaidi2, Khulood K Sewaid3, Maryam U Bader4, Norah T Almuwallad5, Rehab A Mohammed6,1.
Abstract
Background The coronavirus (COVID-19) pandemic has created an unprecedented problem in people's lives around the world. Lockdown measures altered the routine lifestyle aspects of people including diet, exercise, sleep, stress, smoking, job status, recreation, and application of modern technologies. Understanding the lifestyle profile of individuals could help in designing effective interventions to minimize the risk factors of COVID-19-related health problems. Objectives The aim of this research is to investigate the lifestyle changes among adults living in Saudi Arabia (SA) during the COVID-19 pandemic. Methods A cross-sectional survey study was done to investigate the lifestyle changes during the COVID-19 pandemic in Saudi Arabia from August to September 2020. A pre-designed questionnaire was used for data collection and distributed online through social media. The questionnaire included items about sleep patterns, dietary habits, physical activity, employment status, recreation activities, use of social media, and screen time before and during the pandemic. Results A total of 338 adults with a median age of 40 years participated in the study. During the pandemic, employment, smoking decreased significantly (53.3 vs. 55.6%, p<0.001 & 15.7% vs. 18.3%, p=0.049) with significant increases in daily intake of fruits or vegetables (47% to 60.2%, p<0.001), caffeinated beverages (seven or more times caffeine, 3% vs. 0.9%, p<0.001), and water (more than eight water cups daily, 18.4 vs. 11.9, p<0.001). Overweight group increased significantly from 28.5% to 32% (p=0.009). Sleeping more than nine hours increased significantly from 8.3% to 21.8% (p<0.001) with increasing sleeping aids from 11.6% to 15.7% (p<0.001). Both the screen and the social media times increased significantly for six or more hours daily (14.8% vs. 35.3% and 9.5% vs. 28.2% respectively, p=<0.001 for both). There were significant decreases in socialization (91.4% vs. 37.8%) and fast food (71.98% vs. 47.04%), and increases in physically inactivity (19% vs. 5.3%) and stress (90.8% vs. 85.2%) (p<0.001 for all). Most participants perceived stress during the pandemic (307, 90.8%). Conclusion There were remarkable behavioral changes in all aspects of the lifestyle of the participants living in SA during the COVID-19 pandemic with some positive effects on smoking and dietary habits. However, negative changes included unemployment, physical inactivity, sleep disturbances, social isolation, and excessive weight gain. There is a need to study the possible consequences of such changes on the future population health in SA.Entities:
Keywords: corona pandemic; covi-19; dietary habits; fast food; life style; physical activity; s: saudi arabia; sleeping pattern; smoking habits; social practice
Year: 2021 PMID: 34956785 PMCID: PMC8692506 DOI: 10.7759/cureus.19796
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Figure 1Frequency of weekly fast-food consumption among participants before and during the pandemic (n=338, p <0.001).
Figure 4Self-reported stress perception among participants (n=338, p<0.001)
Comparison of the employment and smoking status before and during the pandemic (n=338)
| Variable | Before the pandemic N (%) | During the pandemic N (%) | P |
| Working status | < 0.001 | ||
| Employed | 188 (55.6) | 180 (53.3) | |
| Unemployed | 150 (44.4) | 158 (46.7) | |
| Smoking status | 0.049 | ||
| No | 276 (81.7) | 285 (84.3) | |
| Yes | 62 (18.3) | 52 (15.7) | |
| Smoking frequency/day | < 0.001 | ||
| Once | 18 (5.3) | 14 (4.1) | |
| 2-3 times | 17 (5) | 17 (5) | |
| 4-5 times | 6 (1.8) | 2 (0.1) | |
| > 5 times | 21 (6.2) | 19 (5.6) | |
Comparison of the dietary habits and weight before and during the pandemic (n=338)
| Variable | Status before the pandemic N (%) | Status during the pandemic N (%) | P |
| Daily fruits or vegetable intake | < 0.001 | ||
| No | 159 (52.8) | 134 (39.8) | |
| Yes | 178 (47.2) | 203 (60.2) | |
| Daily consumption of caffeinated beverages | 0.008 | ||
| None | 51 (15.1) | 48 (14.2) | |
| Once | 116 (34.4) | 100 (29.7) | |
| 2-3 times | 136 (40.4) | 142 (42.1) | |
| 4-6 times | 31 (9.2) | 37 (11) | |
| ≥7 times | 3 (0.9) | 10 (3) | |
| Daily number of water cups | < 0.001 | ||
| <3 | 96 (28.5) | 59 (17.5) | |
| 3-5 | 118 (35) | 108 (32) | |
| 6-8 | 83 (24.6) | 108 (32) | |
| >8 | 40 (11.9) | 62 (18.4) | |
| Body Mass Index (BMI) categories | 0.009 | ||
| Underweight | 28 (8.3) | 22 (6.5) | |
| Normal weight | 115 (34.1) | 105 (31.2) | |
| Overweight | 96 (28.5) | 108 (32) | |
| Obese | 98 (29.1) | 102 (30.3) | |
Comparison of the sleeping habits before and during the pandemic (n=338)
| Variable | Status before the pandemic N (%) | Status during the pandemic N (%) | P |
| Daily sleeping hours | < 0.001 | ||
| <7 | 192 (57) | 106 (31.5) | |
| 7-9 | 117 (34.7) | 161 (47.8) | |
| >9 | 28 (8.3) | 70 (21.8) | |
| Sleeping aids | < 0.001 | ||
| No | 298 (88.4) | 284 (84.3) | |
| Yes | 39 (11.6) | 53 (15.7) | |
| Time to fall asleep | < 0.001 | ||
| >2 hours | 10 (3) | 26 (7.7) | |
| 1 to 2 hours | 36 (10.7) | 111 (32.9) | |
| 30 minutes to 1 hour | 138 (40.9) | 116 (34.4) | |
| <30 minutes | 153 (45.4) | 84 (24.9) | |
| Feeling relaxed after waking up | < 0.001 | ||
| No | 48 (14.2) | 141 (41.8) | |
| Yes | 289 (85.8) | 196 (58.2) | |
Comparison of the screen and social media times before and during the pandemic (n=338)
| Variable | Status before the pandemic N (%) | Status during the pandemic N (%) | P |
| Screen time: hours | < 0.001 | ||
| <1 | 45 (13.4) | 24 (7.1) | |
| 1-3 | 164 (48.7) | 99 (29.4) | |
| 4-5 | 78 (23.1) | 95 (28.2) | |
| ≥6 | 50 (14.8) | 119 (35.3) | |
| Social media time: hours | < 0.001 | ||
| <1 | 58 (17.2) | 31 (9.2) | |
| 1-3 | 158 (46.9) | 109 (32.3) | |
| 4-5 | 89 (26.4) | 102 (30.3) | |
| ≥6 | 32 (9.5) | 95 (28.2) | |
Figure 2Frequency of weekly fast-food consumption among participants before and during the pandemic (n=338, p <0.001).
Figure 3Socialization, or the monthly times of visiting friends and relatives among participants before and during the pandemic (n=338, p <0.001).