Zambia Demographic and Health Survey 2001-2002 - Measure DHS

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Table 13.7 Discussion of condoms in the mediaAmong women and men who have heard of AIDS, percentage who think that discussion of condoms in the media is acceptable,by media type and background characteristics, Zambia 2001-2002–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––WomenMen––––––––––––––––––––––––––––––––––––––––––––– ––––––––––––––––––––––––––––––––––––––––––––NotNotacceptable Number acceptable NumberBackground On On In news- in any of On On In news- in any ofcharacteristic radio TV paper media women radio TV paper media men–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––Age15-19 79.4 77.6 79.6 18.5 1,783 82.4 79.4 83.1 15.2 43420-24 85.4 83.3 84.8 13.3 1,655 86.9 84.7 86.2 11.9 34425-29 84.1 82.4 85.4 13.6 1,370 92.6 91.2 94.2 4.4 36130-39 80.2 77.8 80.9 17.7 1,735 86.7 84.3 89.2 9.5 52240-49 68.0 65.4 69.2 29.3 1,061 78.5 74.9 82.1 16.7 28750-59 na na na na na 64.8 62.9 66.1 32.2 169Marital statusNever married 79.0 77.2 79.4 18.9 1,868 84.3 81.6 84.9 13.3 756Ever had sex 86.2 83.9 86.8 12.0 978 88.4 86.5 88.5 9.8 569Never had sex 71.1 69.8 71.3 26.4 890 71.6 66.8 73.8 24.0 187Married orliving together 81.1 79.0 81.5 17.0 4,674 83.7 81.1 85.8 12.7 1,244Divorced/separated/widowed 77.9 75.2 78.8 19.5 1,061 85.5 85.5 86.3 13.7 116ResidenceUrban 79.0 77.2 80.9 18.0 3,068 85.0 83.1 88.8 10.8 849Rural 80.9 78.6 80.4 17.7 4,535 83.3 80.5 83.3 14.5 1,267ProvinceCentral 80.8 79.6 81.7 17.1 561 74.5 74.5 77.1 22.2 165Copperbelt 75.5 74.5 76.4 22.8 1,539 83.7 82.1 87.1 12.9 441Eastern 86.5 84.0 85.5 12.4 921 85.8 84.2 85.0 14.2 265Luapula 81.2 78.6 81.7 17.4 618 82.7 76.5 80.4 13.4 164Lusaka 79.6 76.5 83.9 15.1 1,132 88.3 84.9 92.1 7.5 314Northern 68.6 65.6 68.0 30.1 1,031 74.6 69.7 76.2 20.4 288North-Western 88.2 87.0 87.8 10.5 352 83.1 81.9 82.7 16.9 93Southern 85.8 84.6 85.1 13.5 809 89.3 88.3 91.3 6.6 222Western 88.6 85.6 87.0 9.2 640 94.1 92.8 93.5 5.2 164EducationNo education 70.5 68.1 70.6 27.5 906 81.6 78.3 81.3 14.5 100Primary 79.7 77.3 79.5 18.5 4,403 80.9 78.0 82.0 15.9 1,079Secondary 84.9 83.4 86.8 12.6 2,061 87.5 85.5 89.7 9.8 808Higher 85.2 82.9 85.6 13.2 234 90.0 88.3 92.5 7.5 129Total 80.2 78.0 80.6 17.8 7,603 84.0 81.5 85.5 13.0 2,116–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––na = Not applicable204 | AIDS/HIV/STI-Related Knowledge and Behaviour
Table 13.8 Knowledge of “Trendsetters” newspaperPercentage of women and men who have seen the newspaper called “Trendsetters,”by background characteristics, Zambia 2001-2002––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––WomenMenBackground –––––––––––––––––––––– ––––––––––––––––––––––characteristic Percentage Number Percentage Number––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––Age15-19 11.9 1,811 12.6 45920-24 13.5 1,664 22.1 34625-29 12.2 1,376 19.0 36130-34 11.2 972 16.6 28135-39 7.2 766 18.8 24140-44 6.7 601 19.0 17445-49 5.9 467 16.8 11350-54 na na 16.5 10055-59 na na 6.7 71ResidenceUrban 20.9 3,073 30.7 851Rural 4.3 4,585 8.2 1,294ProvinceCentral 10.5 562 13.4 165Copperbelt 21.7 1,544 30.8 447Eastern 3.8 926 2.7 268Luapula 6.5 622 3.3 166Lusaka 20.1 1,132 36.4 314Northern 4.4 1,040 18.3 292North-Western 5.3 354 8.4 93Southern 6.2 814 3.9 232Western 4.0 663 6.4 169EducationNo education 1.1 925 2.8 108Primary 5.0 4,439 7.8 1,100Secondary 23.0 2,061 26.5 808Higher 57.4 234 50.7 129Total 11.0 7,658 17.2 2,14513.5 TESTING FOR HIVRespondents were asked whether they had been tested for HIV and, if not, whether they wouldlike to be tested. Those who were tested for HIV in the past were further asked about the source of theirtesting.Table 13.9.1 shows that only 9 percent of women have been tested for the AIDS virus. Womenin urban areas are more likely to have been tested (14 percent) than rural women (6 percent). Womenwho have never been married and those who have never had sex are less likely to have been tested thanthose who have ever been married and those who have never married but have had sex, respectively.Nevertheless, it is surprising that 5 percent of women who have never had sex report that they have hadan HIV test. Furthermore, the percentage of women who have been tested increases with increasing levelof education.AIDS/HIV/STI-Related Knowledge and Behaviour | 205
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ZambiaDemographic andHealth Survey2
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This report summarises the findings
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Page3.6 Women’s Employment ......
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Page11.3.2 Micronutrient Intake amo
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PageA.7 Sample Selection ..........
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PageTable 3.11 Decision on use of e
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Table 7.7 Wanted fertility rates ..
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PageTable 13.5 Discussion of HIV/AI
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PREFACEThe Zambia Demographic and H
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FAMILY PLANNINGKnowledge of contrac
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According to mothers’ reports, ar
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ZAMBIALake TanganyikaLake MweruTanz
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The 1980s marked the start of the f
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the peripheral structures. An impor
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ing in private households in the co
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subjects agreed) received a referra
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confidentiality.Finally, in additio
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CHARACTERISTICS OF HOUSEHOLDS AND2R
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Figure 2.2 Distribution of De Facto
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2.4 EDUCATIONAL LEVEL OF HOUSEHOLD
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Figure 2.3 Percent Distribution of
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Figure 2.4 Net and Gross Attendance
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2.5 HOUSING CHARACTERISTICS ANDHOUS
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Thirty percent of households own a
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CHARACTERISTICS OF RESPONDENTS3AND
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enrolment ratios suggest that educa
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3.3 LITERACYThe ability to read is
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Figure 3.1 Youth Literacy100 Percen
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3.5 MEN’S EMPLOYMENTMale responde
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Table 3.6 Occupation: menPercent di
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Table 3.8 Employment status: womenP
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non-agricultural occupations, since
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Table 3.12 Women’s control over e
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Table 3.14.1 Women’s participatio
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Table 3.14.2 Women’s participatio
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Table 3.15.1 Women’s attitudes to
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3.7.3 Attitudes toward Refusing Sex
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Table 3.16.2 Men’s attitudes towa
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Table 3.17.1 Smoking of tobacco: wo
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FERTILITY4Richard Banda and Margare
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As the comparison in Figure 4.1 ind
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Figure 4.3 Total Fertility Rate by
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Table 4.4 Trends in fertility by ba
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Results from the 2001-2002 ZDHS ind
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The median birth interval is 33 mon
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4.6 TEENAGE FERTILITYAdolescent chi
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FERTILITY REGULATION5Mika Bwembya a
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Table 5.1.2 Knowledge of contracept
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Seventy percent of currently marrie
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Table 5.4 Current use of contracept
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Table 5.7 Number of children at fir
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Table 5.10 Source of contraceptionP
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The pattern is slightly different f
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5.14 EXPOSURE TO FAMILY PLANNING ME
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Table 5.16.1 Exposure to specific r
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Table 5.17 shows that 18 percent of
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Table 5.19 Attitudes of couples tow
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Table 6.1 shows that one-fourth of
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Table 6.3 Age at first marriagePerc
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Table 6.5 Age at first sexual inter
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Table 6.7.1 Recent sexual activity:
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Almost four in ten (38 percent) of
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FERTILITY PREFERENCES AND UNMET NEE
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The above results show an increase
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7.3 UNMET NEED FOR FAMILY PLANNINGW
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Figure 7.4 Unmet Need for Spacing a
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The mean ideal number of children f
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Table 7.7 shows the total wanted fe
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Fifty-nine percent of all neonatal
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Table 8.3 Early childhood mortality
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Table 8.5 Early childhood mortality
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Only 27 percent of births are in a
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MATERNAL AND CHILD HEALTH9Miriam Ch
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Expectant mothers should beginanten
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There are particularly sharp differ
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Table 9.5 Place of deliveryPercent
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Table 9.7 shows that only 2 percent
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Table 9.8 Postnatal carePercent dis
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Table 9.9 Visits by health workersP
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Table 9.10.2 Neighbourhood Health C
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No major variations were observed w
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Table 9.13 Vaccinations by backgrou
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Table 9.14 Prevalence of injections
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Eastern province has the highest pr
Page 173 and 174: Table 9.18 Diarrhoea treatmentPerce
Page 175 and 176: Table 9.20 Household knowledge and
Page 177 and 178: 10.1.1 Use of Bednets by Children a
Page 179 and 180: Table 10.4 Use of antimalarial drug
Page 181 and 182: Luapula province has the highest pe
Page 183 and 184: INFANT FEEDING, NUTRITIONAL PRACTIC
Page 185 and 186: than half (51 percent) of the infan
Page 187 and 188: tamination after cleaning, the nipp
Page 189 and 190: 11.2 COMPLEMENTARY FEEDING11.2.1 Ty
Page 191 and 192: Few children under two years of age
Page 193 and 194: Table 11.6 Iodisation of household
Page 195 and 196: 11.3.2 Micronutrient Intake among C
Page 197 and 198: 11.3.3 Micronutrient Supplementatio
Page 199 and 200: 11.4 HOUSEHOLD FOOD SECURITYFood se
Page 201 and 202: Table 11.12 Nutritional status of c
Page 203 and 204: Table 11.12 indicates that children
Page 205 and 206: VIOLENCE AGAINST WOMEN 12Mary Kazun
Page 207 and 208: Table 12.2 Experience of beatings o
Page 209 and 210: Results show that almost eight out
Page 211 and 212: Table 12.5 Experience of sexual vio
Page 213 and 214: More than four out of ten never-mar
Page 215 and 216: AIDS/HIV/STI-RELATED KNOWLEDGE AND1
Page 217 and 218: Table 13.2 Knowledge of ways to avo
Page 219 and 220: Knowledge of HIV prevention methods
Page 221 and 222: Table 13.5 Discussion of HIV/AIDS w
Page 223: The view that HIV status of a famil
Page 227 and 228: Figure 13.1 Unmet Need for HIV Test
Page 229 and 230: Table 13.10 Men's attitudes toward
Page 231 and 232: Men in sales and services and skill
Page 233 and 234: Table 13.13 Alcohol consumption by
Page 235 and 236: Table 13.14.2 Knowledge of symptoms
Page 237 and 238: The peak age for having STI symptom
Page 239 and 240: used condoms, 34 percent took medic
Page 241 and 242: The practice of having multiple par
Page 243 and 244: Table 13.21 Use of condoms by type
Page 245 and 246: PREVALENCE OF HIV AND SYPHILIS 14Ku
Page 247 and 248: 14.1.2 Coverage for HIV Testing by
Page 249 and 250: 14.1.3 Approach to Weighting Syphil
Page 251 and 252: 14.2 SYPHILIS PREVALENCE RATES 1Tab
Page 253 and 254: Table 14.8 Syphilis prevalence by a
Page 255 and 256: The 2001-2002 ZDHS data can be used
Page 257 and 258: Figure 14.2 illustrates the distinc
Page 259 and 260: Figure 14.3 HIV Prevalence AmongWom
Page 261 and 262: ADULT MORTALITY15Ann A. WayData col
Page 263 and 264: Table 15.2 Adult mortality ratesDir
Page 265 and 266: While again not definitive, the res
Page 267 and 268: 124 | ReferencesGaisie, K., A. Cros
Page 269 and 270: SAMPLE DESIGNAppendix AA.1 INTRODUC
Page 271 and 272: Table A.2. Expected number of selec
Page 273 and 274: Similarly, a total of 2,658 potenti
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Table A.5 Sample implementation: me
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where h represents the stratum whic
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Table B.2 Sampling errors for selec
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Table B.10 Sampling errors for sele
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Table B.12 Sampling errors for sele
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DATA QUALITY TABLESAppendix CTable
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Table C.3 Completeness of reporting
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Table C.6 Reporting of age at death
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Provincial CoordinatorsMr Martin Nj
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Data Processing StaffMr Mathews Muv
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286 | Appendix E
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HOUSEHOLD SCHEDULENow we would like
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LINENO.USUAL RESIDENTSAND VISITORSR
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NO. QUESTIONS AND FILTERS CODING CA
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INFORMED CONSENT FOR SYPHILIS AND H
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September 28, 20012001 ZAMBIA DEMOG
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SECTION 1. RESPONDENT’S BACKGROUN
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SECTION 2: REPRODUCTIONNO. QUESTION
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212 213 214 215 216 217IF ALIVE:218
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NO QUESTIONS AND FILTERS CODING CAT
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NO. QUESTION AND FILTERS CODING CAT
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NO. QUESTION AND FILTERS CODING CAT
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407AWhere did the first antenatal v
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NAMELAST BIRTHNEXT-TO-LAST-BIRTHNAM
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NAMELAST BIRTHNEXT-TO-LAST-BIRTHNAM
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SECTION 4B. IMMUNIZATION, HEALTH AN
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LAST BIRTHNEXT-TO-LAST BIRTHNAMENAM
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LAST BIRTHNEXT-TO-LAST BIRTH474B CH
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LAST BIRTHNEXT-TO-LAST BIRTH480 Wha
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NO QUESTIONS AND FILTERS CODING CAT
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SECTION 5. MARRIAGE AND SEXUAL ACTI
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SECTION 6. FERTILITY PREFERENCESNO.
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SECTION 7. HUSBAND'S BACKGROUND AND
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SECTION 9. MATERNAL MORTALITYNO. QU
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904 What wasname given toyour oldes
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NAME OF EDITOR:____________________
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SUPERVISOR FIELD EDITOR OFFICE EDIT
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14 Have you heard of any other ways
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SECTION 5. FERTILITY PREFERENCESNO.
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SECTION 7. AIDS AND OTHER SEXUALLY
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