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Int. J. Environ. Res. Public Health 2007, 4(2), 101-105;

Article
High Risk Behaviours and Schistosomiasis Infection in Kumba, South-West Province, Cameroon
Martyn T. Sama 1,*, Essame Oyono 2 and R. C. Ratard 3
1
Tropical Medicine Research Station, P. O. Box 55 Kumba, South West Province, Cameroon
2
Institute of Medical Research and Study of Medicinal Plants (I.M.P.M), Yaounde, Cameroon
3
State Epidemiologist, Office of Public Health, Louisiana, U.S.A
*
Correspondence to Dr. Martyn T. Sama: Email: teyhasm@yahoo.com
Received: 15 November 2006 / Accepted: 30 April 2007 / Published: 30 June 2007

Abstract

: Kumba, a town with a population of mixed background and socio-economic status, is a new and intense focus of schistosomiasis. Although fountains provide clean water, the population still uses the river and streams which cross the town for most of its bathing, laundry and swimming activities. A multivariate analysis indicated that a local subject’s age, ethnic group, knowledge about schistomiasis and the intensity of his or her contact with the river and/or stream were all significantly associated with schistosome infection. Surprisingly, a high level of knowledge about schistosomiasis was positively associated with the infection. The potential risk of schistosome infection from water contact shows that; the younger age groups are at relatively high risk and male are at more risk than females. In terms of knowledge about schistosomiasis those aged 15–19 years had the highest means score and those aged >44 years the lowest, with males having a significantly higher knowledge than females. Age, as expected and as observed in most schistosomiasis surveys, was a major determinant of schistosomiasis infection. At similar level of exposure children are more susceptible to schistosomiasis probably because they lack the immunity built up in the adults as a result of previous infections. Most surface-water contact by the children, the group most affected by schistosomiasis, occurs during playing and swimming. It is unlikely that health education will have a significant impact on this recreational high-risk behaviour.
Keywords:
Schistosomiasis; high risk behaviours; water contact; health education; immunity

Introduction

Schistosomiasis is water borne disease and it is estimated to affect 200 million people in 76 countries and approximately 600 million people have been estimated to be at risk of infection [1]. Schistosoma haematobium is spread through contact by uninfected persons with fresh water, which is contaminated with the urine of infected persons. The disease continues to spread and intensify with the expanding water resource projects, which are needed to meet the increasing food demands in Cameroon. Schistomiasis is a public health problem in Cameroon and contributes to a third of the morbidity among school-age children in Kumba.

The southwest Province of Cameroon has an Equatorial climate, with a 9-months rainy season and a 3 months dry season each year. Rainfall is very heavy 1500–2000mm/year. The snail hosts of the schistosome parasites of man are scare throughout the area [2] and only a few isolated foci of schistosoma haematobium are found [3].

Kumba, an administrative and commercial centre with a population of 80 000, lies in the South-West Province, on the banks of the Kumba River. Since its inhabitants come from a wide variety of cultural backgrounds and socio-economic groups, a study of the effects of these factors on several tropical diseases is ideal. Dombeu and collaborators reported the existence of a focus of S. haematobium in Kumba [4]. This is possibly the first reported even though the population has been well studied in earlier years. The aims of the present study, conducted in Kumba, were to quantify the potential risk of schistosome infection from the activities involving water contact and schistosome infection and to identify any behavioural or socio-cultural factors that increased the risk of the infection.

Materials and Methods

A preliminary survey was carried out to identify the areas of Kumba town where the prevalence of S. haematobium infection in the population was >10%. A complete census of all housing units was then carried out in these areas and urine samples were collected in 50-ml tubes from all members of each household who were aged ≥1 year. Urine was collected between 11.00 and 14.00 hours, the period of peak intensity of infection in the sample [unpublished], preserved with sodium azide and examined using sedimentation. Sedimentation appears to be as sensitive a method as centrifugation or filtration [5].

The data collected from each household included the occupation, ethnic group and religion of each member and objective data used to calculate a socio-economic index. A questionnaire was administered to sub-sample of 665 individuals, to gather information on their level of domestic, recreational and occupational water contact, and their level of knowledge about schistosomiasis transmission. The main water-contact activities were bathing, laundry, food preparation, dishwashing, playing, fishing, and wading. A coefficient indicating the risk of each activity, based on the average duration of the water contact and the proportion of the body exposed [both measured by direct observation], the use of soap and the location where the activity occurred, was calculated. Table 1 presents the activity coefficients used to quantify risk behaviours.

A water-contact index was then calculated for each subject by multiplying the water-contact coefficient for each activity by the number of times the individual performed the activity each week and then summing the results for all activities. Indices of [0, 1–9, 10–25, and 26–53] indicated no, low, medium and high levels of contact, respectively.

Knowledge about schistosomiasis was evaluated by asking five simple questions, each subject being given a point for each correct answer, giving scores of 0–5. The questions explored knowledge about the cause, clinical symptoms, and availability of treatment, transmission and prevention of schistosomiasis.

All subjects found to be infected with schistosomes were given a single oral dose of 40 mg praziquantel/kg, which was well tolerated.

Results

Population

The census in area with >10% schistosomiasis prevalence involved 171 households with 1025 residents. Most of the subjects were young 60% <20 years, 31% 20–44 years and only 9% >45 years with a slight preponderance of females 55%. On average each household comprised six individuals range 1–2, usually an extended family. Although the subjects belonged to 27 ethnic groups they could be classified in five main categories: Bakundus from the Douala coast; Bamileke from the western, hill region; Hausa Foulbe, Fulani and Hausa from northern Cameroon; and Nigerians and Tikaris from the north-western, hill region. Hausas were predominantly Muslims, the Bamileke Roman Catholics and the Bakundus, Tikaris and Nigerians Protestants. Two thirds of the population 65% were from the lower socioeconomic group [labourers and unskilled workers], 30% from the middle (semi-skilled or skilled workers) and 5% from the high professionals.

Prevalence and Intensity of Infection

The prevalence and intensity of infection are presented in Table 2, and graphically illustrated in Figure 1 and Figure 2. The prevalence rates were relatively high in the 10–14 and 15–19 age groups compared to the 5–9, 20–44 and >44 age groups. The overall infection rates were 42.5, 54.1, 46.5, 15.8, and 10.0% in the 5–9, 10–14, 15–19, 20–44 and >44 age group, respectively. In the male subjects, the intensities of infection were 55, 60, 44, 42 and 28 eggs per 10 ml urine, respectively in the 5–9, 10–14, 15–19, 20–44 and >44 age group. In the female subjects, infection intensities of 50, 52, 45, 51 and 25 eggs per 10 ml urine, were recorded for the 5–9, 10–14, 15–19, 20–44 and >44 age group respectively.

Water-contact Behaviours

Although water contact occurred at the fountains, river, streams and wells, only the river and streams are potential sources of schistosome infection. Domestic activities accounted for the majority of reported water contacts. Although every subject interviewed reported that they bathed, most did so with fountain water, either at home 33% or at the fountains 39%; only 20% said they bathed in the river. Similarly, most laundry was done with fountains at home 20% or at the fountain 31%; 25% said they did not do any laundry.

Only 25% of the respondents came into contact with water as the result of food (cassava or manioc) preparation or dishwashing and only a few of these used the river; most used fountain water. Those washing vegetables in the river do so kneeling in the water with their upper and lower limbs exposed to the water. Soap is not usually used for dishwashing. Almost all-drinking and cooking water was collected at the fountains or from wells; only 4% used surface-water sources.

Although only 20% of the respondents swam or played and 17% fished in the river or stream, these activities exposed a large body area to the water and were of relatively long duration. Most fishing is done with a line, standing waist deep in the water.

Knowledge about Schistosomiasis

Most respondents 68% knew that haematuria was the main sign of schistosomiasis, half (50%) knew that a drug was available to treat it, 42% knew that the cause was a worm, 36% knew that urinating in water was the main mode of transmission and only 25% knew that avoiding contact with certain water bodies was the best preventive action. Scores of 0, 1, 2, 3, 4 and 5 were achieved by 8%, 16%, 26%, 19%, 16% and 14% of respondents, respectively. Those aged 15–19 years had the highest mean score and those aged >44 the lowest, with male having significantly higher level of knowledge than females. The Nigerian had the highest water-contact levels and the lowest knowledge scores. Table 3 presents the intensity of reported surface water contact by age group and sex.

Multi-factorial Analysis

In order to determine the factors that were associated with infection, the data was first analysed in a hierarchical log-linear model after categorization of the variables. From this first step it appeared that occupation, housing and socio-economic status were not important. The more significant variables of age, sex, ethnic group, religion, knowledge and reported water-contact were then analysed by step-wise logistics regression table 4. All age groups had a relative risk, RR> 1; those aged 10–19 years having the highest RR 3.6. Nigerians had a relatively high RR 2.2; all other ethnic groups having RR of about 1. In terms of water contact, only the high-contact group were at increased risk of infection. Paradoxically, better knowledge about schistosomiasis was associated with a higher relative risk of being infected. Table 4 presents the stepwise logistic regression of predictors of schistosomiasis.

Discussion

Although clean water is available at numerous fountains throughout Kumba, many inhabitants still use surface water for their domestic activities. Unless sufficient clean water is readily available in a house itself or nearby, its inhabitants will use surface water to carry out their domestic chores.

Age, as expected and as observed in most schistosomiasis surveys, was a major determinant of schistosomiasis infection in Kumba; middle age children being at the highest risk of infection. At similar levels of exposure, children are more susceptible to schistosomiasis, probably because they lack the immunity built up in adults as the result of previous infections [6].

Only a very intense level of contact with surface water could be related to high relative risk of infection, possibly because the estimation of water contact from interview data is not very accurate. Although a significant association between risk of infection, and the number and duration of water contact with infected waters has often been reported [7, 8], it appears that the respective roles of age and intensity of water contact need to be considered together [9, 10].

Most surface-water contact by the children, the group most affected by schistosomiasis, occurs during playing and swimming and it is likely that health education would have a significant impact on these recreational activities. The positive association between knowledge and schistosomiasis was initially surprising. After all, the aim of health-education programmes is to teach people about disease so that they can take preventive action. It may be that individuals with high-risk behaviours have been infected in the past and having gone for treatment, learned more about the disease through their contact with health professionals. If this is so, their experience was not sufficient to trigger the changes in their behaviour that would reduce their risk of infection, as many have been re-infected.

The reasons why ethnic group should be a significant determinant of infection in Kumba are not clearly understood. It may be that the specific behaviours and attitudes of particular ethnic groups lead to levels of surface-water contact that differ from those of other groups. Further interviews are required to elucidate this problem.

There are several ways in which the Kumba focus may be controlled. It is obvious that, although clean water is available, it is not close enough to many households; it should be made easier for all households to obtain clean water than surface water. Given the large population in Kumba, the low cost of unskilled labour and the limited areas where the intermediate host occurs, it should also be possible to reduce infection risk by regularly clearing the snail-infested sites on the stream and river banks. It is probably unrealistic to believe that health education of the children or their parents would stop them playing or swimming in surface water; those most at risk, the middle age children, are little parental control. Health education should not only improve local knowledge about the risk of surface water contact but encourage long-term changes in behaviour and rapid treatment as soon as the symptoms of schistosomiasis develop.

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Figure 1:. Prevalence of schistosomiasis infection according to age

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Figure 1:. Prevalence of schistosomiasis infection according to age
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Figure 2:. Intensity of infection by age and gender

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Figure 2:. Intensity of infection by age and gender
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Table Table 1:. Coefficient used to quantify behaviors

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Table 1:. Coefficient used to quantify behaviors
ActivityMean duration (Min)% of body in waterSoap usedCoefficient for activity

in riverwith river water
Bathing/washing2060Yes31
Laundry4530Yes31
Food preparation3030No21
Dish washing2020No21
Playing/swimming4090No4-
Fishing9050No4-
Crossing, wading510No1-
Table Table 2:. Prevalence and intensity of S. haematobium infection

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Table 2:. Prevalence and intensity of S. haematobium infection
Age (Years)No. and (%) MalesNo. and (%) femalesNo. and (%) overallMean intensity (Egg/10ml urine)

ExaminedPositivesExaminedPositivesExaminedPositivesMalesFemales
5–92912 (41.3)209 (45.0)4921 (42.8)5550
10–148553 (62.3)9645 (46.9)18198 (54.1)6052
15–193112 (38.7)6834 (50.0)9946 (46.5)4445
20–4410112 (11.8)16530 (18.2)26642 (15.8)4251
> 44394 (10.2)313 (9.7)707 (10.0)2825

Total28593 (32.6)380121 (31.8)665214 (32.1)4645
Table Table 3:. Intensity of reported surface-water contact by age group and gender

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Table 3:. Intensity of reported surface-water contact by age group and gender
Age (Years)N% with water contact levelMidHighWater contact index

NoneLow
5–9498.232.732.726.515.7 ± 13.3
10–1418114.333.736.515.512.9 ± 11.1
15–199930.327.332.310.19.6 ± 10.3
20–4426639.540.617.72.34.6 ± 7.6
>447042.935.721.40.04.5 ± 6.9
All males28529.830.927.711.69.6 ± 11.6
All females38028.939.225.56.37.5 ± 9.3

Totals66529.335.626.08.6-
Table Table 4:. Stepwise logistic regression of predictors of schistosomiasis

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Table 4:. Stepwise logistic regression of predictors of schistosomiasis
ParameterDegree of freedomX2p-valueCoeff1SE2RR3
Age3103.20.000
5–9
10–190.550.3383.6
20–44−1.000.3672.8
45+−1.690.5321.5

Ethnic group414.50.043
Bakudu
Bamileke0.640.3161.2
Hausa1.050.7441.4
Nigerian1.610.2772.2
Tikari0.910.2441.3

Water contact450.50.000
None1.340.8250.3
Minimum2.300.7200.4
Low2.630.6840.8
High3.340.2201.5

Knowledge212.20.002
Low
Average0.510.2761.9
High0.750.2493.0

Sex10.020.902
Religion65.860.439

1Coeff= Coefficient; it is a measure of the spread of a distribution relative to the mean of the distribution.2SE = Standard Error; it is the square root of the variance of the sampling distribution SE đ = [Var(d)]½3.RR = Relative Risk; it is a population estimate denoted to the attribute.

This research was financially supported by the United State Agency for International Development [USAID] Project Grant No 631-0408.1 The Schistosomiasis Research Programme Cameroon.

References

  1. Sleigh, AC; Mott, KE. Schistosomiasis. In Epidemiology and Control of Tropical Diseases; Gilles, HM, Ed.; Cambridge University Press, 1989; pp. 643–670. [Google Scholar]
  2. Greer, GJ; Mimpfoundi, R; Malek, EA; Joky, A; Ngonseu, E; Ratard, RC. Human schistosomiasis in Cameroon. II. Distribution of the snail hosts. American Journal of Tropical Medicine and Hygiene 1990, 42, 573–580. [Google Scholar]
  3. Ratard, RC; Kouemeni, LK; Ekani-Bessala, MM; Ndamkou, CN; Greer, GJ; Spilsbury, J; Cline, BL. Human schistosomiasis in Cameroon. I. Distribution of schistosomiasis. American Journal of tropical Medicine and Hygiene 1990, 42, 561–572. [Google Scholar]
  4. Dombeu, A; Moyou, RS; Kouamouo, JS; Enyong, P. Etude de la bilharziose urinaire en milieu scolaire à Kumba [Sud-Ouest Cameroun]. Revue Science et Technique [Science de la Santé] 1985, 2, 105–110. [Google Scholar]
  5. Ratard, RC. Comparison of centrifugation, sedimentation and filtration in the diagnosis of urinary schistosomiasis. African Schistosome 1986. [Google Scholar]
  6. Wilkins, HA; Blumenthal, WS; Hagan, P; Hayes, RJ; Tulloch, S. Resistance to reinfection after treatment of urinary schistosomiasis. Transactions of the Royal Society of Tropical Medicine and Hygiene 1987, 81, 29–35. [Google Scholar]
  7. Farooq, M; Mallaf, MB. The behavioural patterns of social and religious water contact activities in the Egypt-49 project area. Bulletin of the World health Organization 1966, 35, 293–318. [Google Scholar]
  8. Pugh, RN; Gilles, HM. Malumfashi Endemic Diseases Research Project: III Urinary schistosomiasis: a longitudinal study. Annals of Tropical Medicine and Parasitology 1978, 72, 471–482. [Google Scholar]
  9. Dalton, PR; Pole, D. Water contact patterns in relation with Schistosoma haematobium infection. Bulletin of the World Health Organisation 1978, 56, 417–426. [Google Scholar]
  10. Barbour, AD. The importance of age and water contact patterns in relation to Schistosoma haematobium infection. Transactions of the Royal Society of Tropical Medicine and Hygiene 1985, 79, 151–153. [Google Scholar]
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