| Literature DB >> 33199934 |
Shuchang Liu1, Zheng Feei Ma2, Yutong Zhang3, Yingfei Zhang4.
Abstract
We designed a self-administered 20-item questionnaire to determine changes in attitudes towards wildlife consumption in Chinese adults during the SARS epidemic in 2002-2003 and on-going COVID-19 pandemic that was first identified in December 2019. A total of 348 adults (177 males and 171 females) with a mean age of 29.4 ± 8.5 years participated, the majority (66.7%) from Hubei. The percentages of participants who had eaten wildlife significantly decreased from 27.0% during SARS to 17.8% during COVID-19 (P = 0.032). The most common reason participants provided for consuming wildlife was to try something novel (64.9% during SARS and 54.8% during COVID-19). More than half of participants (≥53.5%) reported that they had stopped eating wildlife meat because most species of wildlife are legally protected. Our study results indicate over the period between the SARS epidemic to the outbreak of the COVID-19 pandemic, attitudes towards the consumption of wildlife in China have changed significantly. © Springer Science+Business Media, LLC, part of Springer Nature 2020.Entities:
Keywords: COVID-19; Ecology; Hubei Province, China; SARS; Wet markets; Wildlife consumption
Year: 2020 PMID: 33199934 PMCID: PMC7657065 DOI: 10.1007/s10745-020-00199-5
Source DB: PubMed Journal: Hum Ecol Interdiscip J ISSN: 0300-7839
Fig. 1The epicentre of COVID-19 outbreak
Sociodemographic characteristics of participants
| Age (years) | 29.4 ± 8.5 | 29.5 ± 8.9 | 29.3 ± 8.0 | 0.873 |
| Education level, n (%) | ||||
| | 63 (18.1) | 32 (18.7) | 31 (17.5) | 0.771 |
| | 285 (81.9) | 139 (81.3) | 146 (82.5) | |
| Marital status, n (%) | ||||
| | 219 (62.9) | 83 (48.5) | 136 (76.8) | |
| | 129 (37.1) | 88 (51.5) | 41 (23.2) | |
| Region, n (%) | ||||
| | 232 (66.7) | 112 (48.3) | 120 (51.7) | 0.649 |
| | 116 (33.3) | 59 (50.9) | 57 (49.1) | |
| Job type, n (%) | ||||
| | 87 (25.0) | 19 (11.1) | 68 (38.4) | |
| | 33 (9.5) | 21 (12.3) | 12 (6.8) | |
| | 52 (14.9) | 27 (15.8) | 25 (14.1) | |
| | 24 (6.9) | 9 (5.3) | 15 (8.5) | |
| | 97 (27.9) | 66 (38.6) | 31 (17.5) | |
| | 55 (15.8) | 29 (17.0) | 26 (14.7) | |
| Healthcare professional, n (%) | ||||
| | 347 (99.7) | 170 (99.4) | 177 (100.0) | 0.308 |
| | 1 (0.3) | 1 (0.6) | 0 (0.0) | |
| Religion, n (%) | ||||
| | 320 (92.0) | 153 (89.5) | 167 (94.4) | 0.095 |
| | 28 (8.0) | 18 (10.5) | 10 (5.6) | |
| Ethnicity, n (%) | ||||
| | 338 (97.1) | 164 (95.9) | 174 (98.3) | 0.066 |
| | 4 (1.1) | 4 (2.3) | 0 (0.0) | |
| | 4 (1.1) | 3 (1.8) | 1 (0.6) | |
| | 2 (0.6) | 0 (0.0) | 2 (1.1) | |
Wildlife consumption during the COVID-19 period by sex and age group
| Consumption of wildlife meat, n (%) | ||||||
| | 31 (18.1) | 31 (17.5) | 0.881 | 61 (18.3) | 1 (6.7) | 0.249 |
| | 140 (81.9) | 146 (82.5) | 272 (81.7) | 14 (93.3) | ||
| Change of opinion about eating wildlife, n (%) | ||||||
| | 8 (4.7) | 10 (5.6) | 0.612 | 18 (5.4) | 0 (0.0) | 0.481 |
| | 112 (65.5) | 121 (68.4) | 221 (66.4) | 12 (80.0) | ||
| | 43 (25.1) | 42 (23.7) | 83 (24.9) | 2 (13.3) | ||
| | 8 (4.7) | 4 (2.3) | 11 (3.3) | 1 (6.7) | ||
| Bats were the carriers of SARS, n (%) | ||||||
| | 94 (55.0) | 53 (29.9) | 142 (42.6) | 5 (33.3) | 0.475 | |
| | 77 (45.0) | 124 (70.1) | 191 (57.4) | 10 (66.7) | ||
Wildlife consumption during the SARS period by sex and age group
| Consumption of wildlife meat, n (%) | ||||||
| | 18 (10.5) | 76 (42.9) | 91 (27.3) | 3 (20.0) | 0.532 | |
| | 153 (89.5) | 101 (57.1) | 242 (72.7) | 12 (80.0) | ||
| Change of opinion about eating wildlife, n (%) | ||||||
| | 6 (3.5) | 4 (2.3) | 0.087 | 9 (2.7) | 1 (6.7) | 0.58 |
| | 98 (57.3) | 88 (49.7) | 177 (53.2) | 9 (60.0) | ||
| | 58 (33.9) | 81 (45.8) | 135 (40.5) | 4 (26.7) | ||
| | 9 (5.3) | 4 (2.3) | 12 (3.6) | 1 (6.7) | ||
| Palms civets were the carriers of SARS, n (%) | ||||||
| | 91 (53.2) | 94 (53.1) | 0.984 | 178 (53.5) | 7 (46.7) | 0.606 |
| | 80 (46.8) | 83 (46.9) | 155 (46.5) | 8 (53.3) | ||
Wildlife consumption during the COVID-19 period by education level and regions
| Consumption of wildlife meat, n (%) | ||||||
| | 25 (39.7) | 37 (13.0) | 43 (18.5) | 19 (16.4) | 0.620 | |
| | 38 (60.3) | 248 (87.0) | 189 (81.5) | 97 (83.6) | ||
| Change of opinion about eating wildlife, n (%) | ||||||
| | 4 (6.3) | 14 (4.9) | 16 (6.9) | 2 (1.7) | ||
| | 26 (41.3) | 207 (72.6) | 150 (64.7) | 83 (71.6) | ||
| | 31 (49.2) | 54 (18.9) | 62 (26.7) | 23 (19.8) | ||
| | 2 (3.2) | 10 (3.5) | 4 (1.7) | 8 (6.9) | ||
| Bats were the carriers of SARS, n (%) | ||||||
| | 27 (42.9) | 120 (42.1) | 0.913 | 94 (40.5) | 53 (45.7) | 0.357 |
| | 36 (57.1) | 165 (57.9) | 138 (59.5) | 63 (54.3) | ||
Wildlife consumption during the SARS period by education level and regions
| Consumption of wildlife meat, n (%) | ||||||
| | 7 (11.1) | 87 (30.5) | 61 (26.3) | 33 (28.4) | 0.669 | |
| | 56 (88.9) | 198 (69.5) | 171 (73.7) | 83 (71.6) | ||
| Change of opinion about eating wildlife, n (%) | ||||||
| | 2 (3.2) | 8 (2.8) | 8 (3.4) | 2 (1.7) | ||
| | 52 (82.5) | 134 (47.0) | 137 (59.1) | 49 (42.2) | ||
| | 7 (11.1) | 132 (46.3) | 83 (35.8) | 56 (48.3) | ||
| | 2 (3.2) | 11 (3.9) | 4 (1.7) | 9 (7.8) | ||
| Palms civets were the carriers of SARS, n (%) | ||||||
| | 15 (23.8) | 170 (59.6) | 111 (47.8) | 74 (63.8) | ||
| | 48 (76.2) | 115 (40.4) | 121 (52.2) | 42 (36.2) | ||