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

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Table 3.4.2 Exposure to mass media: MenPercentage of men age 15-49 who are exposed to specific media on a weekly basis, bybackground characteristics, Tanzania HMIS 2007-08BackgroundcharacteristicReads anewspaperat leastoncea weekWatchestelevision atleast oncea weekListens toradio atleast oncea weekAll threemediaNomediaNumber ofmenAge15-19 27.4 34.6 67.1 15.6 26.9 1,76820-24 32.2 40.0 76.4 19.4 18.6 1,14825-29 33.3 39.9 78.9 23.1 18.6 1,00430-34 27.1 31.3 73.6 17.4 23.1 1,00435-39 30.9 30.8 76.1 17.7 21.6 84240-44 31.6 26.0 74.8 16.5 22.4 62845-49 27.9 24.6 67.8 14.0 28.7 581ResidenceUrban 56.7 68.1 86.7 45.8 7.5 1,699Rural 21.2 22.6 68.7 8.7 27.9 5,276Region/IslandMainland 29.9 32.9 72.8 17.6 23.3 6,763Arusha 45.0 48.2 80.7 38.4 17.6 262Dar es Salaam 72.7 82.2 90.3 59.9 1.8 580Dodoma 26.0 28.1 70.9 14.3 24.8 255Iringa 29.1 22.1 74.5 9.9 20.2 286Kagera 20.2 19.3 67.7 8.0 28.4 397Kigoma 14.3 29.7 53.5 10.0 41.4 292Kilimanjaro 33.5 42.6 86.8 20.0 9.1 271Lindi 23.8 29.9 72.6 14.4 21.1 164Manyara 15.6 22.1 59.0 9.7 38.6 203Mara 42.0 43.5 75.3 27.5 21.1 243Mbeya 12.1 25.8 74.5 7.0 24.5 496Morogoro 38.4 36.1 88.9 21.9 10.0 340Mtwara 29.8 36.4 77.0 16.1 17.4 209Mwanza 35.1 28.8 74.8 18.4 23.0 608Pwani 30.7 26.8 76.2 10.3 18.5 119Rukwa 23.0 27.7 70.3 8.4 24.5 264Ruvuma 29.4 37.3 67.8 15.2 23.4 287Shinyanga 21.3 15.7 53.9 7.5 44.2 633Singida 16.7 14.5 63.9 4.9 30.9 153Tabora 15.5 20.3 63.2 6.7 33.8 404Tanga 24.8 30.6 87.7 12.8 9.4 298Zanzibar 29.8 59.6 82.5 22.0 9.6 212Pemba 18.5 42.2 75.8 12.0 16.9 63Unguja 34.5 67.1 85.4 26.3 6.5 148EducationNo education 1.5 18.2 57.7 0.5 40.3 829Primary incomplete 17.5 23.4 64.6 7.0 30.8 1,534Primary complete 33.6 33.0 76.0 18.4 20.1 3,597Secondary + 58.4 64.3 88.4 45.9 6.5 1,016Wealth quintileLowest 10.8 13.2 48.5 3.2 48.3 1,173Second 17.0 18.4 67.4 5.0 28.8 1,411Middle 21.9 21.4 71.6 7.5 24.2 1,322Fourth 31.7 32.5 79.6 16.6 16.9 1,395Highest 58.9 71.8 91.0 47.8 4.0 1,670Total 15-49 29.9 33.7 73.1 17.8 22.9 6,975Characteristics of Respondents | 29
3.6 CURRENT MARITAL STATUSMarriage is the primary indicator of women’s exposure to the risk of pregnancy. Both age atfirst marriage and the proportion of the population in union are proximate determinants of pregnancyrisk, as they influence fertility. For example, populations in which age at first marriage is low, tend tohave early childbearing and, consequently, high fertility.Marriage exposes women and men to sexual intercourse, which is the primary means bywhich HIV is transmitted in Tanzania. In this report, the term ‘marriage’ refers to both formal andinformal unions. Informal unions are those in which a man and a woman stay together, intending tohave a lasting relationship, even if a formal, civil, or religious ceremony has not been conducted. The2007-08 THMIS describes marital status in three broad categories—never married, currently married,and formerly married (i.e., widowed, divorced, or separated).Table 3.5 shows the percent distribution of women and men by current marital status and agegroup. About two-thirds of women (64 percent) age 15-49 are currently married compared with 53percent of men. About 24 percent of women and 42 percent of men have never been married. Theproportion of women and men currently in union increases with age. Figure 3.2 shows the distributionof respondents by marital status.Table 3.5 Current marital statusPercent distribution of women and men age 15-49 by current marital status, according to age,Tanzania HMIS 2007-08AgeNevermarriedMarital statusCurrentlymarriedFormerlymarriedTotalPercentage ofrespondentsever marriedNumber ofrespondentsWOMEN15-19 77.0 21.3 1.8 100.0 23.0 1,98420-24 23.0 68.2 8.8 100.0 77.0 1,74625-29 8.4 78.5 13.1 100.0 91.6 1,60330-34 5.7 77.9 16.5 100.0 94.3 1,34635-39 3.1 80.5 16.4 100.0 96.9 1,17540-44 2.2 75.8 22.0 100.0 97.8 77445-49 2.8 74.4 22.8 100.0 97.2 714Total 23.7 64.0 12.3 100.0 76.3 9,343MEN15-19 98.1 1.4 0.5 100.0 1.9 1,76820-24 68.1 28.1 3.8 100.0 31.9 1,14825-29 27.3 66.7 6.0 100.0 72.7 1,00430-34 7.5 84.7 7.8 100.0 92.5 1,00435-39 4.2 89.4 6.4 100.0 95.8 84240-44 3.6 87.0 9.4 100.0 96.4 62845-49 1.2 92.1 6.7 100.0 98.8 581Total 42.0 53.1 4.9 100.0 58.0 6,975There are marked differentials in marital status by age group and sex; 21 percent of womenage 15-19 are currently married compared with 1 percent of men the same age.30 | Characteristics of Respondents
Page 1 and 2: TanzaniaHIV/AIDS and MalariaIndicat
Page 3 and 4: The 2007-08 Tanzania HIV/AIDS and M
Page 5 and 6: 3.5 Access to Mass Media ..........
Page 7 and 8: 12.2 Orphans and Vulnerable Childre
Page 9 and 10: Table 4.3Table 4.4Table 4.5Table 4.
Page 11 and 12: Figure 9.2 HIV Prevlence by Region/
Page 14: FOREWORDThis report presents the ma
Page 18 and 19: SUMMARY OF FINDINGSThe 2007-08 Tanz
Page 20 and 21: HIV prevalence among youth (women a
Page 23 and 24: xxii | Map of Tanzania
Page 25 and 26: 1.2 NATIONAL POLICY ON HIV/AIDSIn r
Page 27 and 28: To assess levels and trends in know
Page 29 and 30: 1.8 FIELDWORKData collection was ca
Page 31 and 32: Table 1.1 Results of the household
Page 33 and 34: Figure 2.1 presents a graphic pictu
Page 35 and 36: Table 2.3.1 Educational attainment
Page 37 and 38: Educational attainment is higher in
Page 39 and 40: 2.5.1 Energy SourcesTable 2.5 prese
Page 41 and 42: The most common items are agricultu
Page 43 and 44: The 2007-08 THMIS included aquestio
Page 45 and 46: Table 3.1—ContinuedBackgroundchar
Page 47 and 48: Education is positively related to
Page 49 and 50: Table 3.3.2 Employment status: MenP
Page 51: Table 3.4.1 Exposure to mass media:
Page 55 and 56: Polygyny also varies by household w
Page 57 and 58: Four in ten women age 20-49 marry b
Page 59 and 60: There is a positive relationship be
Page 62 and 63: FERTILITY AND REPRODUCTIVE HEALTH 4
Page 64 and 65: Table 4.2 Fertility by background c
Page 66 and 67: infertility, 1 or the inability to
Page 68 and 69: 4.3 ADOLESCENT FERTILITYAdolescent
Page 70 and 71: Table 4.7 Antenatal carePercent dis
Page 72: Table 4.8 Place of antenatal carePe
Page 75 and 76: 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
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Table 7.3.2 Multiple sexual partner
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Table 7.4 Payment for sexual interc
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Table 7.5.1 Coverage of prior HIV t
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Figure 7.2 Prior HIV Testing by Edu
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7.7 PREVALENCE OF SEXUALLY TRANSMIT
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Figure 7.3 Prevalence of STIs and S
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Table 7.8 Prevalence of medical inj
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Table 8.1 Comprehensive knowledge a
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Table 8.2 Age at first sexual inter
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Never-married women and men age 15-
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Figure 8.3 Condom Use at Premarital
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Table 8.5.2 Higher-risk sexual inte
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Table 8.6 Age-mixing in sexual rela
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8.9 HIV TESTING AMONG YOUNG PEOPLEK
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HIV PREVALENCE 99.1 INTRODUCTIONPri
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Table 9.1 Coverage of HIV testing b
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Table 9.1—ContinuedBackgroundchar
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Table 9.3 HIV prevalence by ageAmon
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There are large variations in HIV p
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Table 9.5 shows that men who are cu
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Women who said they had higher-risk
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Table 9.8 shows data on HIV prevale
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Table 9.11 HIV prevalence by male c
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INFANT AND CHILD MORTALITY 1010.1 I
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As expected, the level of infant an
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category (1.41) is 41 percent highe
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11.1 OWNERSHIP AND USE OF MOSQUITO
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carrying mosquitoes. Much of the fi
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11.2 USE OF ANTIMALARIAL DRUGS DURI
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11.3 TREATMENT OF CHILDREN WITH FEV
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11.4.1 Type and Timing of Antimalar
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11.4.2 Availability of Drug at Home
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11.6 SOURCE OF MOSQUITO NETSUntil l
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In spite of steady increases in ITN
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ORPHANS AND VULNERABLE CHILDREN 12P
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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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