| Literature DB >> 30486282 |
Lianping Yang1, Wenmin Liao2, Chaojie Liu3, Na Zhang4, Shuang Zhong5, Cunrui Huang6.
Abstract
This study aimed to measure the knowledge and perceptions of medical, public health, and nursing students about climate change and its impacts, and to identify associations between the knowledge and perceptions. Data were from a nationwide cross-sectional survey of 1387 students sampled in five different regional universities in China (April⁻May 2017). The knowledge and perceptions of the participants were collected by self-administered questionnaires. We found that most respondents believed that climate change is generally "bad" (83%) and bad for human health (88%), while 67% believed that climate change is controllable. The vast majority of respondents acknowledged illness conditions resulting from poor air quality (95%), heat stress (93%), and extreme weather events (91%) as potential impacts of climate change. Nevertheless, only 39% recognized malnutrition as a consequence of food deprivation resulting from climate change. Around 58% of respondents could correctly identify the causes of climate change. The knowledge of the causes of climate change was not associated with the ability to recognize the health consequences of climate change. However, the knowledge of causes of climate change was a significant predictor of increased awareness of the negative impacts of climate change between the medical and nursing students, although this was not the case among their public health counterparts. Poor knowledge about the causes of climate change is evident among students in China. They are able to recognize the direct links between weather events and health, but less likely to understand the consequences involving complicated pathways. Research and training into the underlying mechanisms of health impacts of climate change needs to be strengthened.Entities:
Keywords: climate change; health impact; knowledge; perception; university students
Mesh:
Year: 2018 PMID: 30486282 PMCID: PMC6313669 DOI: 10.3390/ijerph15122650
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Demographics of participants by different majors.
| Characteristics | All | Medical | Public Health | Nursing | ||||
|---|---|---|---|---|---|---|---|---|
|
| (%) |
| (%) |
| (%) |
| (%) | |
| Region | ||||||||
| East | 258 | 18.6 | 117 | 18.2 | 80 | 18.6 | 61 | 19.5 |
| North | 308 | 22.2 | 156 | 24.2 | 79 | 18.4 | 73 | 23.3 |
| Central | 248 | 17.9 | 107 | 16.6 | 84 | 19.5 | 57 | 18.2 |
| West | 262 | 18.9 | 120 | 18.6 | 83 | 19.3 | 59 | 18.9 |
| South | 311 | 22.4 | 144 | 22.4 | 104 | 24.2 | 63 | 20.1 |
| Gender | ||||||||
| Female | 926 | 66.8 | 328 | 50.9 | 319 | 74.2 | 279 | 89.1 |
| Male | 461 | 33.2 | 316 | 49.1 | 111 | 25.8 | 34 | 10.9 |
| Age | ||||||||
| ≤20 | 126 | 9.5 | 38 | 6.1 | 20 | 5.0 | 68 | 23.1 |
| 21–22 | 913 | 68.9 | 419 | 66.7 | 302 | 74.8 | 192 | 65.3 |
| >22 | 287 | 21.6 | 171 | 27.2 | 82 | 20.3 | 34 | 11.6 |
| Monthly household income per capita (¥) | ||||||||
| <1000 | 154 | 11.2 | 62 | 9.8 | 51 | 12.0 | 41 | 13.1 |
| 1000–1999 | 284 | 20.7 | 112 | 17.6 | 95 | 22.4 | 77 | 24.6 |
| 2000–4999 | 514 | 37.5 | 239 | 37.6 | 155 | 36.6 | 120 | 38.3 |
| 5000–9999 | 293 | 21.4 | 146 | 23.0 | 89 | 21.0 | 58 | 18.5 |
| ≥10,000 | 127 | 9.3 | 76 | 12.0 | 34 | 8.0 | 17 | 5.4 |
| Self-rated health | ||||||||
| Very good | 303 | 21.9 | 156 | 24.2 | 80 | 18.6 | 67 | 21.4 |
| Good | 858 | 61.9 | 378 | 58.7 | 275 | 64.0 | 205 | 65.5 |
| Medium or poor | 226 | 16.3 | 110 | 17.1 | 75 | 17.4 | 41 | 13.1 |
Perceived impacts of climate change from medical, public health and nursing students.
| Perceived Impacts of Climate Change | Medical | Public Health | Nursing | All |
| ||||
|---|---|---|---|---|---|---|---|---|---|
|
| (%) |
| (%) |
| (%) |
| (%) | ||
| Climate change is controllable | 418 | 64.9 | 321 | 74.7 | 196 | 62.6 | 935 | 67.4 | <0.01 |
| Overall, climate change is bad | 546 | 84.8 | 359 | 83.5 | 253 | 80.8 | 1158 | 83.5 | 0.30 |
| Climate change is bad for human health | 575 | 89.3 | 381 | 88.6 | 266 | 85.0 | 1222 | 88.1 | 0.15 |
| Climate change will be serious in my local community | 576 | 89.4 | 368 | 85.6 | 282 | 90.1 | 1226 | 88.4 | 0.09 |
| Climate change will be serious in China | 619 | 96.1 | 413 | 96.1 | 298 | 95.2 | 1330 | 95.9 | 0.79 |
| Climate change will be serious in the world | 609 | 94.6 | 410 | 95.4 | 299 | 95.5 | 1318 | 95.0 | 0.76 |
| Health consequences of climate change | |||||||||
| Air quality-related illness | 604 | 93.8 | 413 | 96.1 | 299 | 95.5 | 1316 | 94.9 | 0.22 |
| Heat-related illness | 596 | 92.6 | 407 | 94.9 | 283 | 90.4 | 1286 | 92.8 | 0.07 |
| Disruption of health services by extreme weather events | 585 | 90.8 | 396 | 92.1 | 282 | 90.1 | 1263 | 91.1 | 0.62 |
| Cold-related illness | 570 | 88.5 | 385 | 89.5 | 276 | 88.2 | 1231 | 88.8 | 0.82 |
| Flooding-related displacement | 550 | 85.5 | 375 | 87.4 | 259 | 82.8 | 1184 | 85.5 | 0.20 |
| Illness related with shortage of water supply | 556 | 86.5 | 352 | 82.2 | 269 | 86.2 | 1177 | 85.1 | 0.13 |
| Vector-borne infectious disease | 541 | 84.0 | 359 | 83.9 | 249 | 79.8 | 1149 | 83.0 | 0.23 |
| Water-borne infectious disease | 544 | 84.6 | 328 | 76.6 | 249 | 79.6 | 1121 | 81.0 | <0.01 |
| Other health impacts of climatic change | 479 | 76.4 | 348 | 82.1 | 234 | 76.0 | 1061 | 78.1 | 0.06 |
| Food-borne disease | 472 | 73.4 | 250 | 58.1 | 226 | 72.2 | 948 | 68.4 | <0.01 |
| Mental health conditions | 443 | 68.8 | 255 | 59.3 | 185 | 59.1 | 883 | 63.7 | <0.01 |
| Malnutrition | 282 | 43.9 | 141 | 32.8 | 117 | 37.4 | 540 | 39.0 | <0.01 |
| Total score (Mean ± SD) | 9.70 ± 2.39 | 9.36 ± 2.20 | 9.36 ± 2.27 | 9.52 ± 2.31 | 0.03 | ||||
Correct answers on the causes of climate change from medical, public health, and nursing students.
| Causes of Climate Change | All | Medical | Public Health | Nursing |
| ||||
|---|---|---|---|---|---|---|---|---|---|
|
| % |
| % |
| % |
| % | ||
| Climate change is mainly caused by human activities | 1071 | 77.3 | 508 | 78.9 | 333 | 77.4 | 230 | 73.7 | 0.17 |
| The global CO2 concentration in the atmosphere has increased during the past 250 years | 1034 | 74.7 | 484 | 75.2 | 321 | 75.0 | 229 | 73.2 | 0.80 |
| The last century’s global increase in temperature was the largest during the past 1000 years | 880 | 63.6 | 420 | 65.2 | 285 | 66.4 | 175 | 56.5 | 0.01 |
| Today’s global CO2 concentration in the atmosphere has already occurred in the past 650,000 years | 217 | 15.7 | 94 | 14.6 | 75 | 17.5 | 48 | 15.4 | 0.45 |
| Total score (Mean ± SD) | 2.31 ± 1.01 | 2.34 ± 1.02 | 2.36 ± 1.01 | 2.18 ± 0.98 | 0.02 | ||||
Associations between understandings of the causes of climate change and perceived impacts of climate change: results from logistic regression analyses 1.
| Perceived Impacts of Climate Change | Adjusted Odds Ratio (95% Confidence Interval) of Respondents with a High (vs. Low) Level of Understanding on the Causes of Climate Change | |||
|---|---|---|---|---|
| All | Medical | Public Health | Nursing | |
| Climate change is controllable (yes vs. no) | 1.68 ** | 1.83 ** | 1.38 | 1.81 |
| (1.32–2.14) | (1.29–2.60) | (0.85–2.25) | (1.07–3.06) | |
| Overall, climate change is a bad thing (yes vs. no) | 2.16 ** | 1.98 ** | 2.33 | 2.94 ** |
| (1.57–2.96) | (1.24–3.17) | (1.28–4.24) | (1.44–5.99) | |
| Climate change is bad for human health (yes vs. no) | 1.83 ** | 2.18 ** | 1.47 | 2.11 |
| (1.28–2.60) | (1.27–3.75) | (0.75–2.85) | (1.00–4.50) | |
| Health impacts of climate change will be serious in my local community (yes vs. no) | 2.07 ** | 3.45 ** | 1.16 | 2.08 |
| (1.44–2.99) | (1.93–6.17) | (0.62–2.15) | (0.85–5.07) | |
| Health impacts of climate change will be serious in China (yes vs. no) | 5.40 ** | 9.18 ** | 2.86 | 5.55 |
| (2.60–11.24) | (2.65–31.76) | (0.83–9.87) | (1.12–27.49) | |
| Health impacts of climate change will be serious in the world (yes vs. no) | 4.00 ** | 6.30 ** | 1.97 | 4.29 |
| (2.17–7.39) | (2.47–16.02) | (0.68–5.67) | (0.87–21.17) | |
| Ability to recognize health consequences of climate change (high vs. low) | 1.30 | 1.45 | 1.27 | 1.22 |
| (1.04–1.64) | (1.03–2.04) | (0.83–1.95) | (0.74–2.01) | |
1 Controlled for influences of region, gender, age, discipline (only in the model involving all respondents), income, and health status. ** Bonferroni adjusted p < 0.01.