Skip to main content

Table 2 The univariate analysis of the association between socio-demographics and malaria-affected households (n = 313)

From: Predictors of malaria-association with rubber plantations in Thailand

Categorical variables

No. (%) of malaria-affected households (n = 70)

No. (%) of malaria-unaffected households (n = 243)

P-value

Gender

  

0.032*

 Male

29 (41.4)

66 (27.2)

 

 Female

41 (58.6)

177 (72.8)

 

Median years of age (25th, 75th percentiles)

45 (33,53)

42 (32,53)

 

Age group (years)

  

0.209

 18-25

9 (12.8)

19 (7.8)

 

 26-60

55 (78.6)

188 (77.4)

 

 >60

6 (8.6)

36 (14.8)

 

Marital status

  

0.892

 Single

5 (7.1)

16 (6.6)

 

 Living with partner

51 (72.9)

172 (70.8)

 

 Divorced/widowed/separated

14 (20.0)

55 (22.6)

 

Education level

  

0.068

 Not educateda

17 (25.4)

37 (15.7)

 

 Primary (4–6 years of schooling)

43 (64.2)

152 (64.4)

 

 Upper than primary

7 (10.4)

47 (19.9)

 

Occupationb

  

< 0.001**

 Rubber farmer/tapper

35 (50.0)

150 (61.7)

 

 Daily worker

25 (35.7)

36 (14.8)

 

 Other occupations

10 (14.3)

57 (23.5)

 

Residency status

  

0.002*

 Native Thai villager

49 (70.0)

211 (86.8)

 

 Non-native Thai villagerc

21 (30.0)

32 (13.2)

 

Person having role in malaria prevention

  

0.761

Health personnel/village health volunteer

47 (67.2)

152 (62.5)

 

Family head/member

11 (15.7)

49 (20.2)

 

Local authority/village leader

7 (10.0)

20 (8.2)

 

 Do not know

5 (7.1)

22 (9.1)

 

Perceived burden of malariad

  

0.032*

 Yes

62 (88.6)

184 (75.7)

 

 No

8 (11.4)

59 (24.3)

 
  1. aOf the 54, 20 native Thais and 34 non-native Thai villagersc that were born either in Myanmar or Thailand. The majority were able to read and write.
  2. bTwo major occupational groups: rubber farmers/tappers (i.e., having private-owned smallholdings of rubber plantations in which they tapped the rubber trees and processed rubber sheets) and daily workers (i.e., earning daily income by performing labor activities mostly in agriculture such as rubber tapping and rubber sheet processing at the smallholdings of rubber plantations). The others included students, government employees and so on.
  3. dResulting survey responses: “Yes” referred to any person (labeled as MV) who identified malaria as one of top five public health problems affecting their family or the village community, as for “No” any person (labeled as non-MVs) who did not recognize malaria as a public health problem.
  4. Statistically significant with *Yates corrected χ2 test (P < 0.05), or **Pearson’s χ2 test (P < 0.05), for two-independent samples.