| Literature DB >> 21139702 |
Léonie N Dapi1, Joacim Rocklöv, Georges Nguefack-Tsague, Ekoe Tetanye, Tord Kjellstrom.
Abstract
BACKGROUND: Health impacts related to climate change are potentially an increasing problem in Cameroon, especially during hot seasons when there are no means for protective and adaptive actions.Entities:
Keywords: Cameroon; fatigue; headache; heat; indoor temperature; schoolchildren; very hot
Year: 2010 PMID: 21139702 PMCID: PMC2998052 DOI: 10.3402/gha.v3i0.5610
Source DB: PubMed Journal: Glob Health Action ISSN: 1654-9880 Impact factor: 2.640
Fig. 1Temperature trends in the Cameroon cities of Yaoundé and Douala. T(ave) is mean annual temperature, DewPt is mean annual dew point (an index of absolute humidity), Tmax and Tmin are annual averages of maximum and minimum temperature. The lines are fitted linear regressions with x = years: 1980–2008 and y = the level of each variable in degrees Celsius.
Characteristics (percentage in%, with number in brackets) of schoolchildren
| Total | Girls/boys[ | School 1[ | School 2[ | School 3[ | |
|---|---|---|---|---|---|
| N | 285 | 163/122 | 89 | 85 | 111 |
| Slept in class | 36 (99) | 40/32 | 39 (35) | 43 (32) | 29 (32) |
| Sick | 15 (40) | 17/12 | 10 (9) | 21 (15) | 14 (16) |
| Thirsty | 62 (166) | 63/60 | 47 (42) | 64 (45) | 71 (79) |
| Fatigue | 75 (202) | 77/71 | 73 (65) | 80 (58) | 73 (79) |
| Vertigo | 18 (48) | 20/15 | 14 (12) | 23 (17) | 18 (19) |
| Malaria | 8 (21) | 9/6 | 5 (4) | 13 (9) | 7 (8) |
| Fever | 5 (14) | 6/5 | 2 (2) | 12 (8) | 4 (4) |
| Headache* | 49 (134) | 58/39 | 55 (49) | 60 (44) | 38 (41) |
| Nausea | 13 (35) | 13/12 | 7 (6) | 22 (16) | 12 (13) |
| Very hot overall* | 31 (78) | 37/21 | 20 (17) | 19 (14) | 49 (47) |
| Very hot in the head* | 20 (50) | 21/18 | 22 (19) | 14 (10) | 21 (21) |
Percentage (%) of girls vs boys.
School 1, week 1: March 15–19, 2010 in Yaoundé.
School 2, week 2: March 22–26, 2010 in Yaoundé.
School 3, week 2: March 22–26, 2010 in Douala.
Significant differences between boys and girls (P = 0.010; 0.014; 0.027, for headache, very hot overall, and very hot in the head, respectively).
Note. School 1, school 2, and school 3 are three different groups of schoolchildren.
Fig. 2Scatter plot showing the relationships between the temperature and the percentage of schoolchildren who felt very hot in Yaoundé. The lines are fitted linear regressions with x = temperature in degrees Celsius and y = percentage (%) of schoolchildren who felt hot from Monday to Thursday between 7:30 and 15:30, r is the Pearson correlation coefficient between temperature and very hot (P<0.001, school 1 and school 2). School 1 and school 2 are two different groups of schoolchildren.
Fig. 4Scatter plot showing the relationships between the temperature and the percentage of schoolchildren who had headaches in Yaoundé. The lines are fitted linear regressions with x = temperature in degrees Celsius and y = percentage (%) of schoolchildren who had headaches from Monday to Thursday between 7:30 and 15:30 and r is the Pearson correlation coefficient between temperature and headache (P = 0.001, school 1 and P = 0.267, school 2). School 1 and school 2 are two different groups of schoolchildren.
Fig. 5Datalogger of indoor air temperature, humidity, and dew point by hours from Monday to Friday from 7:30 to 15:30 in classrooms in Yaoundé. Temperature, dew point (an index of absolute humidity), and humidity (percentage relative humidity) are given by hours from Monday to Friday. The lines are fitted linear regressions with x = hours: 7:30 to 15:30 and y = the level of each variable in degrees Celsius and in percentage of relative humidity. School 1 and school 2 are two different groups of schoolchildren. Vertical lines within the figures indicate the days.