In considering the morbidity information, it is important to bear in mind that the subjectiveevaluation of the mother on the health condition of her child is reflected in the data collected. Forexample, in some homes, mothers believe that diarrhoea is no illness but a "natural cleaning mechanismfor the body." Thus, diarrhoea may not be regarded as "running stomach" or "stooling" until a childbecomes severely dehydrated, develops a temperature, and is very ill. Morbidity measures are alsoaffected by the accuracy of the mother's recall concerning when an illness occurred. Both the failure toreport an illness which occurred within the reference period and the reporting of an episode whichoccurred prior to the reference period would affect the accuracy of a prevalence estimate.DiarrhoeaTable 6.7 shows the percentage of children under age five who had diarrhoea in the two weekspreceding the survey. As reported by their mothers, 1 out of 20 children in this age group suffered at leastone bout of diarrhoea during the reference period. Diarrhoea prevalence varied with the age of the child;the highest rate was for children between the ages of 6 and 23 months. Prevalence rates did not differsubstantially by the sex of the child. Regarding background characteristics, the percentage of childrenwith diarrhoea was highest in the riverine area and for children whose mothers had a primary education.Table 6.7 indicates what treatment, if any, was used by mothers to treat the diarrhoea. Forty-twopercent were taken to a medical facility, 23 percent were given a homemade salt and sugar solution (oralrehydration therapy), 1.3 percent were treated with a solution prepared from ORS packets, and 12 percentreceived no treatment at all. However, differences in the treatment of diarrhoea did not follow theexpected pattern. For example, a smaller proportion of children whose mothers have a secondary or moreeducation (29 percent) consulted a medical facility when their children had diarrhoea than mothers witheither primary (43 percent) or no education (44 percent). However, caution should be exercised wheninterpreting this finding because of the small number of cases of diarrhoea reported by mothers withsecondary or more education and the relatively high sampling variance of the proportion consulting adoctor for treatment.Among mothers of children under age five, the percemage who know about oral rehydrationtherapy (ORT)--either commercially prepared packets of salts (ORS) or home solution--increases with thelevel of education (Table 6.8). Almost 70 percent of women with secondary education know about ORT,compared to 40 percent of women with primary education and less than 30 percent of uneducatedmothers. Also, knowledge of ORT was greater among urban than rural women while women in riverineareas were least likely to know about ORT. Kowledge of ORT based on religon was about the same forCatholic, Protestant and Muslim women, but decidely lower among the small number of women in theother/none religious category.Table 6.9Among Mothers of Children Under Five Years, thePercentage Who Know About ORT by EducatlontAccording to Background Characteristics I O<strong>DHS</strong> I 1986BackgroundEducationCharacterlstlc None Primary Secondary + TotalResidenceUrban 41.1 49.0 74.8 93.6Rural 22.2 34.8 54.8 31.0Riverlne 4.2 i0.0 0.O 5,8RellqlonCathollc 30.0 36.0 60.0 40.8Protestant 25.5 99.9 66.5 40.0Musllm 31.5 44.7 64.3 37.5Other/None 11.8 29.0 100.0 17.4Total 26.9 39.6 67.9 39.263
FeverTable 6.9 shows the percentage of children under age five who had fever in the four weekspreceding the survey. It is worth noting that malaria is endemic to Ondo State and the reporting of fevercould well indicate an episode of malaria. Twenty-two percent of children under five were reported ashaving had fever during the four weeks preceding the survey. Age was related to the occurrence of fever,with the greatest prevalence (26 percent) occurring among children 12 to 23 months. The prevalence offever showed little variation based on background characteristics; but surprisingly, it was lowest in theriverine area. Over 40 percent of children with fever in the four weeks preceding the survey were trea~xlwith antimalarial medicine. Only a small percent (2 percent) of children with fever received no treatment.Table 6.9 ~ong Children Under Five Years, the Percentage Who Are <strong>Report</strong>ed bythe Mother as Having Had Fever in the Past Four Weeks and, ~ongChildren Who Had Fever, the Percentage Receiving Various Treatments,According to Background Characteristics, ODES, 1986Percent Among Children With Fever, Percent Receiving NumberHaving Various Treatments ofFeverChil-Background in Consult No drenCharacter- Last 4 Medical Anti- Anti- Other Treat- Underistic Weeks Facility malarial biotic Medicine ment FiveAge of Child< 6 mos. 12.3 37.1 28.6 0.0 85,7 0.0 2856 - II mos. 24.1 36,1 50.6 0.0 89,2 2.4 34412 - 23 mos. 26.4 35.3 45.5 0.0 87,2 1.3 59024 - 35 mos. 26.1 40.3 32.8 0.0 91.8 0.0 51436 - 47 mos. 21.7 26.4 39.3 0.0 94.3 2.9 64548 - 59 mos. 19.2 34.2 47.9 0.0 92.3 1.7 608Sex of ChildBoy 22.6 36.2 43.5 0.0 90.7 1.5 1524Girl 21.9 32.5 40.0 0.0 90.6 1.6 1462ResidenceUrban 22.3 42.2 43.3 0.0 88.3 0.4 1263Rural 24.3 29.7 40.1 0.0 94.2 1.4 1495Riverine 8.3 10.5 52.6 0.0 57.9 21.1 228EducationNone 20.9 29.7 36.0 0.0 89.1 3.2 1357Primary 24.6 34.5 45.0 0.0 93.6 0.4 1014Secondary + 21.6 44.4 48.1 0.0 88.7 0.0 615ReligionCatholic 19.9 43.5 40.6 0.0 89.9 1.5 347Protestant 22.4 34.6 41.8 0.0 91.5 1.7 2102Muslim 24.5 31.0 42.2 0.0 87.1 0.9 474Other/None 14.3 0.0 44.4 0.0 100.0 0.0 63Total 22.3 34.4 41.8 0.0 90.7 1.5 298664
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ONDO STATE, NIGERIADEMOGRAPHICANDHE
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This report presents the findings o
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Page4.34.44.54.64.74.8Current Use o
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PageTable 3.3Table 3.4Table 3.5Tabl
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PageTable 5.1Table 5.2Table 5.3Tabl
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PageAPPENDIX A ....................
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PREFACEThe Ondo State Demographic a
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percent of women using each) and th
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1. BACKGROUND1.1 Geography and Hist
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Although the reporting of family pl
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Table 1.2Number of Selected Primary
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Religion and EthnicityThe majority
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Sources of WaterInformation was als
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- Page 40 and 41: educational attainment, differences
- Page 42 and 43: distributions. The proportion with
- Page 44: Table 3.5 Percent Distribution of A
- Page 47 and 48: Table 4.1Percentage Knowing Any Met
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- Page 51 and 52: Table 4.6Percent Distribution of Al
- Page 53 and 54: Table 4.7Percent Distribution of Cu
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- Page 57 and 58: Figure 4.4Source of Family Planning
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- Page 61 and 62: Table 4.16 presents data on wives'
- Page 63 and 64: Table 4.18Percentage of Currently M
- Page 65 and 66: Figure 5.1Fertility PreferencesCurr
- Page 67 and 68: In order to examine fertility prefe
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- Page 74 and 75: Table 6.1 Infant and Child Mortalit
- Page 76 and 77: Table 6.3Mean Number of Children Ev
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- Page 88 and 89: Weight-for-HeightWeight-for-height
- Page 90 and 91: Weight-for-AgeTable 6.13 shows the
- Page 92: REFERENCESCttieh-Johnson, D., Cross
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- Page 106 and 107: APPENDIX BSAMPLING ERRORSThe result
- Page 108 and 109: Table B.I List of Variables for Whi
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I ISECTION 3:HEALTH AND BREASTFEEDI
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316317CHECK ~2:LAST BIRTH ALIVE [ ]
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SKIP334 What was done?CIRCLECODE 1
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!TABLE 3.1(ASK QUESTIONS STARTING W
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LTABLE 3.3(ASK @UESTIONS ONLY FOR S
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TABLE 3.5CF. TABLE 2.1:ENTER NAME A
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TABLE 4: IPILL "Women can take •
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SKIP413CHECK 404:NO STERILIZATION [
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SECTIOM 5: MARRIAGE. lSKIP501 /Have
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SKIP520 kow we need some detmils ab
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SKIP606 For how long should • cou
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SKIP7e9CHECK 7@8:DOES/DID NOT WORKI
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INTERVIEWER'S OBSERVATIONS.(To be t