Zambia Demographic and Health Survey 2001-2002 - Measure DHS

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the finding that well nourished young children of all population groups (for which data exist) follow verysimilar growth patterns. The reference populations serve as a point of comparison, facilitating theexamination of differences in the anthropometric status of subgroups in a population and changes innutritional status over time. In any large population, there is variation in height and weight; this variationapproximates a normal distribution.Each of these indices—height-for-age, weight-for-height, and weight-for-age—gives differentinformation about growth and body composition used to assess nutritional status. The height-for-ageindex is an indicator of linear growth retardation. Children whose height-for-age Z-score is below minustwo standard deviations (-2 SD) from the median of the reference population are considered short for theirage (stunted) and are chronically malnourished. Children who are below minus three standard deviations(-3 SD) from the median of the reference population are considered severely stunted. Stunting reflectsfailure to receive adequate nutrition over a long period of time and is also affected by recurrent andchronic illness. Height-for-age, therefore, represents the long-term effect of malnutrition in a populationand does not vary according to recent dietary intake.The weight-for-height index measures body mass in relation to body length and describes currentnutritional status. Children whose Z-scores are below minus two standard deviations (-2 SD) from themedian of the reference population are considered thin (wasted) for their height and are acutelymalnourished. Wasting represents the failure to receive adequate nutrition in the period immediatelypreceding the survey and may be the result of inadequate food intake or a recent episode of illness causingloss of weight and the onset of malnutrition. Children whose weight-for-height is below minus threestandard deviations (-3 SD) from the median of the reference population are considered severely wasted.Weight-for-age is a composite index of height-for-age and weight-for-height. It takes into accountboth acute and chronic malnutrition. Children whose weight-for-age is below minus two standard deviationsfrom the median of the reference population are classified as underweight.In the reference population, only 2.3 percent of children fall below minus two (-2 SD) for each ofthe three indices.Table 11.12 shows the percentage of children under five years classified as malnourished accordingto height-for-age, weight-for-age, and weight-for-height by background characteristics. A total of6,292 children under age five were weighed and measured. Four percent of these children had missinginformation on height or weight, 4 percent had implausibly high or low values for the height and weightmeasurements, and 1 percent had incomplete age information. The following information focuses on the5,784 children under age five for whom complete and plausible anthropometric data were collected.According to the 2001-2002 ZDHS, 47 percent of children under five are stunted and 22 percentseverely stunted. Five percent of children under five were found to be wasted. Only 1 percent areseverely wasted. Results on weight-for-age show that 28 percent of children under five are underweightand 7 percent are severely underweight.180 │ Nutrition among Children and Women
Table 11.12 Nutritional status of childrenPercentage of children under five years classified as malnourished according to three anthropometric indices of nutritionalstatus: height-for-age, weight-for-height, and weight-for-age, by background characteristics, Zambia 2001-2002––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––Height-for-age Weight-for-height Weight-for-age(stunted) (wasted) (underweight)–––––––––––––––––––––––– –––––––––––––––––––––––– ––––––––––––––––––––––––Percent- Percent- Percent- Percent- Percent- Percentageage Mean age age Mean age age Mean NumberBackground below below Z-score below below Z-score below below Z-score ofcharacteristic -3 SD -2 SD 1 (SD) -3 SD -2 SD 1 (SD) -3 SD -2 SD 1 (SD) children––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––Age in months
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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
Page 149 and 150: MATERNAL AND CHILD HEALTH9Miriam Ch
Page 151 and 152: Expectant mothers should beginanten
Page 153 and 154: There are particularly sharp differ
Page 155 and 156: Table 9.5 Place of deliveryPercent
Page 157 and 158: Table 9.7 shows that only 2 percent
Page 159 and 160: Table 9.8 Postnatal carePercent dis
Page 161 and 162: Table 9.9 Visits by health workersP
Page 163 and 164: Table 9.10.2 Neighbourhood Health C
Page 165 and 166: No major variations were observed w
Page 167 and 168: Table 9.13 Vaccinations by backgrou
Page 169 and 170: Table 9.14 Prevalence of injections
Page 171 and 172: 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: 11.4 HOUSEHOLD FOOD SECURITYFood se
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 and 224: The view that HIV status of a famil
Page 225 and 226: Table 13.8 Knowledge of “Trendset
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
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14.2 SYPHILIS PREVALENCE RATES 1Tab
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Table 14.8 Syphilis prevalence by a
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The 2001-2002 ZDHS data can be used
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Figure 14.2 illustrates the distinc
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Figure 14.3 HIV Prevalence AmongWom
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ADULT MORTALITY15Ann A. WayData col
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Table 15.2 Adult mortality ratesDir
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While again not definitive, the res
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124 | ReferencesGaisie, K., A. Cros
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SAMPLE DESIGNAppendix AA.1 INTRODUC
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Table A.2. Expected number of selec
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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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Zambia Demographic and Health Survey 2001-2002 - Measure DHS

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