Tanzania HIV/AIDS and Malaria Indicator Survey ... - Measure DHS

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Table 8.7 Drunkenness during sexual intercourse among youthAmong all young women and young men age 15-24, the percentage who had sexual intercourse in the past 12months while being drunk and percentage who had sexual intercourse in the past 12 months when drunk or with apartner who was drunk, by background characteristics, Tanzania HMIS 2007-08Women age 15-24 Men age 15-24BackgroundcharacteristicPercentagewho hadsexualintercoursein past12 monthswhen drunkPercentage whohad sexualintercourse inpast 12 monthswhen drunk orwith a partnerwho was drunkNumber ofwomenPercentagewho hadsexualintercoursein past12 monthswhen drunkPercentage whohad sexualintercourse inpast 12 monthswhen drunk orwith a partnerwho was drunkNumber ofmenAge15-19 1.9 1.9 1,984 0.5 0.5 1,76815-17 1.5 1.5 1,315 0.1 0.1 1,15218-19 2.7 2.7 669 1.4 1.4 61620-24 6.9 6.9 1,746 2.9 2.9 1,14820-22 5.8 5.8 1,076 2.5 2.5 77823-24 8.7 8.7 671 3.8 3.8 370Marital statusNever married 1.2 1.2 1,928 1.0 1.0 2,516Ever married 7.4 7.4 1,802 4.2 4.2 399Knows condom source 1Yes 5.3 5.3 2,199 1.9 1.9 2,235No 2.7 2.7 1,531 0.2 0.2 681ResidenceUrban 2.7 2.7 1,019 1.7 1.7 704Rural 4.8 4.8 2,711 1.4 1.4 2,212Mainland/ZanzibarMainland 4.4 4.4 3,592 1.5 1.5 2,818Mainland – Urban 2.8 2.8 973 1.8 1.8 670Dar es Salaam City 2.5 2.5 301 0.9 0.9 207Other Urban 2.9 2.9 672 2.1 2.1 463Mainland – Rural 5.0 5.0 2,619 1.4 1.4 2,147Zanzibar 0.1 0.1 138 0.5 0.5 98RegionArusha 0.0 0.0 144 1.3 1.3 88Dar es Salaam 2.4 2.4 318 0.9 0.9 219Dodoma 11.5 11.5 130 0.0 0.0 107Iringa 11.2 11.2 125 5.0 5.0 112Kagera 4.1 4.1 191 0.0 0.0 179Kigoma 5.8 5.8 192 1.3 1.3 135Kilimanjaro 7.6 7.6 157 3.6 3.6 132Lindi 4.2 4.2 93 2.6 2.6 47Manyara 6.4 6.4 96 0.0 0.0 81Mara 2.2 2.2 159 0.7 0.7 111Mbeya 11.1 11.1 219 2.8 2.8 223Morogoro 1.5 1.5 152 1.9 1.9 112Mtwara 0.0 0.0 115 0.0 0.0 75Mwanza 1.1 1.1 352 0.6 0.6 275Pwani 5.1 5.1 78 1.6 1.6 47Rukwa 9.1 9.1 129 2.4 2.4 111Ruvuma 6.6 6.6 148 3.1 3.1 124Shinyanga 1.9 1.9 329 1.6 1.6 282Singida 5.7 5.7 67 1.7 1.7 68Tabora 4.5 4.5 236 0.0 0.0 173Tanga 0.0 0.0 162 1.7 1.7 117Pemba 0.0 0.0 41 0.2 0.2 32Unguja 0.1 0.1 96 0.6 0.6 66ZoneWestern 3.7 3.7 757 1.1 1.1 590Northern 3.2 3.2 559 1.9 1.9 418Central 9.5 9.5 197 0.7 0.7 175Southern Highlands 10.6 10.6 472 3.2 3.2 446Lake 2.1 2.1 703 0.4 0.4 565Eastern 2.5 2.5 548 1.3 1.3 377Southern 3.8 3.8 356 2.0 2.0 246Zanzibar 0.1 0.1 138 0.5 0.5 98EducationNo education 6.5 6.5 652 3.1 3.1 274Primary incomplete 3.9 3.9 789 1.3 1.3 930Primary complete 4.5 4.5 1,783 1.7 1.7 1,152Secondary + 0.7 0.7 506 0.3 0.3 560Wealth quintileLowest 5.4 5.4 641 0.9 0.9 476Second 4.1 4.1 647 2.7 2.7 583Middle 4.8 4.8 704 1.2 1.2 561Fourth 4.1 4.1 735 1.0 1.0 615Highest 3.2 3.2 1,003 1.4 1.4 680Total 15-24 4.2 4.2 3,730 1.5 1.5 2,9161Friends, family members, and home are not considered sources for condoms.Youth and HIV/AIDS | 105
8.9 HIV TESTING AMONG YOUNG PEOPLEKnowledge of one’s own HIV sero-status can motivate a person to protect himself/herself, orto practice safer sexual behaviour to avoid transmitting the virus to others. It is particularly importantto measure coverage of voluntary HIV testing among youths, not only because of their vulnerability,but also because they may experience obstacles in accessing voluntary counselling and testing (VCT).Table 8.8 shows, for young women and men age 15-24 who had sexual intercourse in the past 12months, the percentage who reported having an HIV test in the past 12 months and received theresults of the test.In general, women are more likely than men to have been tested for HIV. For example, 23percent of women and 22 percent of men age 20-24 who had sex in the 12 months preceding thesurvey were tested in the past 12 months and knew their results. While men age 20-24 were morelikely to have been tested than men age 15-19 (22 and 17 percent, respectively), the pattern is reversedfor women (25 percent women age 15-19 compared with 23 percent for women age 20-24).Differences in HIV testing by marital status are minimal, however urban youth are morelikely than rural youth to have been tested for HIV. Regional variations are small, which may suggestthat VCT services in Tanzania are widespread in all zones, including Zanzibar. For women and men,there is a strong association between VCT and level of education or wealth status. Youth with noeducation and those in the lowest quintile are the less likely to have been tested for HIV than otheryouth.106 | Youth and HIV/AIDS
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TanzaniaHIV/AIDS and MalariaIndicat
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The 2007-08 Tanzania HIV/AIDS and M
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3.5 Access to Mass Media ..........
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12.2 Orphans and Vulnerable Childre
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Table 4.3Table 4.4Table 4.5Table 4.
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Figure 9.2 HIV Prevlence by Region/
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FOREWORDThis report presents the ma
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SUMMARY OF FINDINGSThe 2007-08 Tanz
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HIV prevalence among youth (women a
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xxii | Map of Tanzania
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1.2 NATIONAL POLICY ON HIV/AIDSIn r
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To assess levels and trends in know
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1.8 FIELDWORKData collection was ca
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Table 1.1 Results of the household
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Figure 2.1 presents a graphic pictu
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Table 2.3.1 Educational attainment
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Educational attainment is higher in
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2.5.1 Energy SourcesTable 2.5 prese
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The most common items are agricultu
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The 2007-08 THMIS included aquestio
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Table 3.1—ContinuedBackgroundchar
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Education is positively related to
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Table 3.3.2 Employment status: MenP
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Table 3.4.1 Exposure to mass media:
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3.6 CURRENT MARITAL STATUSMarriage
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Polygyny also varies by household w
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Four in ten women age 20-49 marry b
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There is a positive relationship be
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FERTILITY AND REPRODUCTIVE HEALTH 4
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Table 4.2 Fertility by background c
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infertility, 1 or the inability to
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4.3 ADOLESCENT FERTILITYAdolescent
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Table 4.7 Antenatal carePercent dis
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Table 4.8 Place of antenatal carePe
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Table 5.1 Knowledge of AIDSPercenta
Page 77 and 78: The use of condoms as an effective
Page 79 and 80: Table 5.3.2 Comprehensive knowledge
Page 81 and 82: more education) and those in the fo
Page 83 and 84: Table 5.5.1 Exposure to HIV educati
Page 85 and 86: 5.6 KNOWLEDGE AND ATTITUDE CONCERNI
Page 87 and 88: Table 5.6.2 Knowledge and attitudes
Page 89 and 90: Table 6.1.1 Accepting attitudes tow
Page 91 and 92: Stigma is also found to vary with l
Page 93 and 94: 6.3 ATTITUDES OF ADULTS TOWARDS EDU
Page 96 and 97: HIV/AIDS-RELATED BEHAVIOUR 77.1 INT
Page 98 and 99: Table 7.2.1 Recent sexual activity:
Page 100 and 101: Figure 7.1 Recent Sexual Intercours
Page 102 and 103: Table 7.3.2 Multiple sexual partner
Page 104 and 105: Table 7.4 Payment for sexual interc
Page 106 and 107: Table 7.5.1 Coverage of prior HIV t
Page 108 and 109: Figure 7.2 Prior HIV Testing by Edu
Page 110 and 111: 7.7 PREVALENCE OF SEXUALLY TRANSMIT
Page 112 and 113: Figure 7.3 Prevalence of STIs and S
Page 114: Table 7.8 Prevalence of medical inj
Page 117 and 118: Table 8.1 Comprehensive knowledge a
Page 119 and 120: Table 8.2 Age at first sexual inter
Page 121 and 122: Never-married women and men age 15-
Page 123 and 124: Figure 8.3 Condom Use at Premarital
Page 125 and 126: Table 8.5.2 Higher-risk sexual inte
Page 127: Table 8.6 Age-mixing in sexual rela
Page 132 and 133: HIV PREVALENCE 99.1 INTRODUCTIONPri
Page 134 and 135: Table 9.1 Coverage of HIV testing b
Page 136 and 137: Table 9.1—ContinuedBackgroundchar
Page 138 and 139: Table 9.3 HIV prevalence by ageAmon
Page 140 and 141: There are large variations in HIV p
Page 142 and 143: Table 9.5 shows that men who are cu
Page 144 and 145: Women who said they had higher-risk
Page 146 and 147: Table 9.8 shows data on HIV prevale
Page 148 and 149: Table 9.11 HIV prevalence by male c
Page 150 and 151: INFANT AND CHILD MORTALITY 1010.1 I
Page 152 and 153: As expected, the level of infant an
Page 154: category (1.41) is 41 percent highe
Page 157 and 158: 11.1 OWNERSHIP AND USE OF MOSQUITO
Page 159 and 160: carrying mosquitoes. Much of the fi
Page 161 and 162: 11.2 USE OF ANTIMALARIAL DRUGS DURI
Page 163 and 164: 11.3 TREATMENT OF CHILDREN WITH FEV
Page 165 and 166: 11.4.1 Type and Timing of Antimalar
Page 167 and 168: 11.4.2 Availability of Drug at Home
Page 169 and 170: 11.6 SOURCE OF MOSQUITO NETSUntil l
Page 171 and 172: In spite of steady increases in ITN
Page 174 and 175: ORPHANS AND VULNERABLE CHILDREN 12P
Page 176 and 177: 12.2 ORPHANS AND VULNERABLE CHILDRE
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12.3.1 School Attendance by Survivo
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While there are no differences in p
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Table 12.7 Widows dispossessed of p
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Table 12.9 External support for orp
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REFERENCESAgot, K.E., J.O. Ndinya-A
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SAMPLE IMPLEMENTATIONAPPENDIX AAppe
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Table A.2 Sample implementation: Me
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Table A.4 Coverage of HIV testing a
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Table A.6 Coverage of HIV testing a
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where h represents the stratum whic
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Table B.2 Sampling errors for Natio
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Table B.4 Sampling errors for Rural
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Table B.6 Sampling errors for Mainl
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Table B.8 Sampling errors for Mainl
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Table B.10 Sampling errors for Zanz
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Table B.12 Sampling errors for Nort
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Table B.14 Sampling errors for Sout
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Table B.16 Sampling errors for East
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Table B.18 Sampling errors for Dodo
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Table B.20 Sampling errors for Kili
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Table B.22 Sampling errors for Moro
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Table B.24 Sampling errors for Dar
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Table B.26 Sampling errors for Mtwa
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Table B.28 Sampling errors for Irin
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Table B.30 Sampling errors for Sing
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Table B.32 Sampling errors for Rukw
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Table B.34 Sampling errors for Shin
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Table B.36 Sampling errors for Mwan
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Table B.38 Sampling errors for Many
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Table B.40 Sampling errors for Pemb
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216 | Appendix B
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Joyce MbambaYulitha MwakasoleRemigi
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QUESTIONNAIRESAppendix DAppendix D
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HOUSEHOLD SCHEDULEIntroduction and
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IF AGE 0-17 YEARSIF AGE 5 YEARS OR
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IF AGE 0-17 YEARSLINE SICK CARE SUR
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HOUSEHOLD CHARACTERISTICSNO. QUESTI
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NO. QUESTIONS AND FILTERS CODING CA
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SUPPORT FOR SICK PEOPLENO. QUESTION
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NO.QUESTIONS AND FILTERSSUPPORT FOR
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NO.QUESTIONS AND FILTERSCODING CATE
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CHILD 4 CHILD 5 CHILD 6502 LINE NUM
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515 CHECK 509:NUMBER OF CHILDREN WI
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UNITED REPUBLIC OF TANZANIATANZANIA
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213 214 215 216217 218219 220221222
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LAST BIRTH NEXT-TO-LAST BIRTH SECON
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LASTSEXUAL PARTNERSECOND-TO-LASTSEX
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SECTION 7 - HIV TESTTHIS PAGE TO BE
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