Malawi 2015-16

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women to have ever experienced spousal violence. Even among the most educated women, about one in four has experienced spousal violence. Patterns by husband’s characteristics and empowerment indicators • Husbands who have more than secondary education are less likely to commit spousal violence (26%) than husbands with no education (32%) or with primary (42%) or secondary education (38%) (Table 17.11). The variation in spousal violence is somewhat greater by women’s own education than by the education of their husband. • Women in couples where the husband is better educated than the wife and in which both husband and wife are equally educated are more likely (both 40%) to have experienced spousal violence than women in couples where neither is educated (28%) and in couples in which the wife is more educated than the husband (37%). • Experience of spousal violence varies greatly with the level of the husbands’ alcohol consumption. More than three-fourths of the women whose husbands are often drunk have experienced spousal violence (79%) compared with 34% of the women whose husbands do not drink alcohol (Figure 17.5). • The likelihood of experiencing spousal violence increases sharply with the number of marital control behaviours displayed by husbands; 83% of women whose husbands displayed all five of the specified marital control behaviours have ever experienced spousal violence, compared with 16% of women whose husbands did not display any specified behaviours. Figure 17.5 Spousal violence by husband’s alcohol consumption Percentage of ever-married women who have ever experienced spousal (physical, sexual, or emotional) violence 34 33 Does not drink Drinks/never gets drunk 55 Gets drunk sometimes 79 Gets drunk very often Husband’s/partner’s alcohol consumption • Women’s experience of spousal violence does not vary linearly with women’s participation in household decision making and their acceptance of wife beating. However, more than half (53%-55%) of the women who agree with 1-4 of the specified reasons for wife beating have experienced spousal violence. • Intergenerational effects of spousal violence are evident in Malawi. Women who report that their fathers beat their mothers are much more likely (53%) to have themselves experienced spousal violence than women who report that their fathers did not beat their mothers (38%). • Fear of husband and spousal violence are correlated. Women who say that they are afraid of their husband most of the time are most likely to have ever experienced spousal violence (71%), followed by women who are sometimes afraid of their husbands (44%). Among women who say that they are never afraid of their husbands, 28% have experienced spousal violence. • Table 17.13 shows when spousal violence first occurred in relation to the start of marriage for women married only once. Among currently married women age 15-49 who have been married only once, 15% first experienced spousal violence within the first 2 years of marriage and 25% had experienced such violence within 5 years. This suggests that a large proportion of spousal violence begins early in marriage. 286 • Domestic Violence
17.7 INJURIES TO WOMEN DUE TO SPOUSAL VIOLENCE Injuries due to spousal violence Percentage of women who have the following types of injuries from spousal violence: cuts, bruises, or aches; eye injuries, sprains, dislocations, or burns; deep wounds, broken bones, broken teeth, or any other serious injury Sample: Ever-married women age 15-49 who experienced physical or sexual violence committed by a current husband (if currently married) or most recent husband (if formerly married) Among ever-married women who have experienced any spousal physical or sexual violence, 34% have sustained some kind of injury and the percentage who have been injured is slightly higher (41%) among women who experienced physical violence than among women who experienced sexual violence (38%) (Table 17.14). Cuts, bruises, or aches are the most common types of injuries (31%) reported by women who have experienced spousal physical or sexual violence. However, a significant proportion of women who experienced spousal physical or sexual violence also report more serious injuries like deep wounds, broken bones, and broken teeth (11%) as well as eye injuries, sprains, dislocations, or burns (10%). Trends: There has been virtually no change in the percentage of women who have ever experienced spousal violence and received one or more injuries. This percentage was 35% in 2010 and is 34% in 2015- 16. 17.8 VIOLENCE INITIATED BY WOMEN AGAINST HUSBANDS Initiation of physical violence by wives Percentage of women who have ever hit, slapped, kicked, or done anything else to physically hurt their current (if currently married) or most recent (if formerly married) husband at times when he was not already beating or physically hurting her. Sample: Ever-married women age 15-49 In Malawi, 4% of ever-married women have ever initiated physical violence against their current (if currently married) or most recent (if formerly married) husband when he was not already beating or physically hurting them. Two percent reported that they initiated violence within the past 12 months (Tables 17.15 and 17.16). Women who have experienced spousal violence are much more likely than women who have not experienced spousal violence to have ever initiated violence against their husbands. Ten percent of women who have ever experienced spousal violence also perpetrated such violence compared with 2% who have never experienced spousal violence. Nonetheless, the percentage of women who initiate violence even among those who have experienced violence is a small fraction of the percentage of women who have ever experienced spousal physical violence. Trends: The percentage of ever married women who have ever initiated physical violence against their husbands has remained unchanged at 4% since 2010. Patterns by background characteristics • Women’s initiation of spousal violence is much more common among Ngoni women (10%) than among women in any other ethnic group. Domestic Violence • 287
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Malawi Demographic and Health Surve
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The 2015-16 Malawi Demographic and
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4.3 Age at First Marriage .........
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13.9.1 Knowledge ..................
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TABLES AND FIGURES 1 INTRODUCTION A
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6 FERTILITY PREFERENCES ...........
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11 NUTRITION OF CHILDREN AND WOMEN
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Figure 14.1 HIV prevalence by age .
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Table A-3.8.1 Type of earnings: Wom
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Table A-16.9.1 Women’s participat
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FOREWORD T he 2016-16 Malawi Demogr
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LA LAM LLIN LPG MAD MDHS MICS PPHC
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Table 3.4.1 Exposure to mass media:
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Example 2: Prevalence and Treatment
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Example 3: Understanding Sampling W
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xxxii • Map of Malawi
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The information collected in the 20
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ecorded on the Biomarker Questionna
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1.5 PRETEST The pretest for the 201
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HOUSING CHARACTERISTICS AND 2 HOUSE
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About half of Malawian households (
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A total of 117,177 individuals stay
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Patterns by background characterist
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school. The attendance rate decline
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Table 2.3 Household sanitation faci
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Table 2.5 Wealth quintiles Percent
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Table 2.9 Household composition Per
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Table 2.11 Children’s living arra
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Table 2.12.2 Educational attainment
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Table 2.14.1 Child functioning and
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CHARACTERISTICS OF RESPONDENTS 3 Ke
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• Women and men living in urban a
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Women and men are most commonly emp
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Table 3.1 Background characteristic
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Table 3.3.1 Literacy: Women Percent
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Table 3.5.1 Internet usage: Women P
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Table 3.6.1 Employment status: Wome
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Table 3.7.1 Occupation: Women Perce
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Table 3.8 Type of employment: Women
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Table 3.10.1 Tobacco smoking: Women
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Table 3.11 Average number of cigare
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Table 3.13.2 Knowledge and attitude
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Figure 4.1 Marital status Percent d
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marriage. The median age at first i
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Table 4.1 Current marital status Pe
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Table 4.3 Age at first marriage Per
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Table 4.5 Age at first sexual inter
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Table 4.7.1 Recent sexual activity:
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FERTILITY 5 Key Findings Total
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5.3 BIRTH INTERVALS Median birth in
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5.5 AGE AT FIRST BIRTH Median age a
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LIST OF TABLES For more information
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Table 5.3.1 Trends in age-specific
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Table 5.6 Postpartum amenorrhea, ab
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Table 5.10 Median age at first birt
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Trends: The percentage of currently
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Trends: Since 1992, the proportion
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Table 6.1 Fertility preferences by
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Table 6.3 Ideal number of children
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Table 6.5 Fertility planning status
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Overall, the contraceptive prevalen
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Nearly 8 in 10 (79%) of all modern
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Seventy-eight percent of currently
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the survey (Table 7.16). Ten percen
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Table 7.3 Current use of contracept
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Table 7.7 Informed choice Among cur
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Table 7.12.1 Need and demand for fa
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Table 7.13 Decision-making about fa
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Table 7.16 Contact of nonusers with
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• Any method of measuring childho
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Table 8.3 Early childhood mortality
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Table 8.5 High-risk fertility behav
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9.1 ANTENATAL CARE COVERAGE AND CON
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Trends: Since 1992, the rates of C-
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9.7 PROBLEMS IN ACCESSING HEALTH CA
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Table 9.3 Components of antenatal c
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Table 9.5 Place of delivery Percent
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Table 9.7 Caesarean section Percent
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Table 9.10 Type of provider of firs
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Table 9.12 Type of provider of firs
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Table 9.14 Pregnancy outcomes Perce
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Table 9.16 Problems in accessing he
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childhood death. In the 2015-16 MDH
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• Vaccination coverage generally
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of giving the same or more food to
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Table 10.1 Child’s size and weigh
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Table 10.3 Vaccinations by backgrou
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Table 10.5 Prevalence and treatment
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Table 10.7 Prevalence and treatment
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Table 10.9 Oral rehydration therapy
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Table 10.11 Disposal of children’
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which the baby’s weight to be dis
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11.2 INFANT AND YOUNG CHILD FEEDING
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have shown that plant-based complem
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11.3 ANAEMIA PREVALENCE IN CHILDREN
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Information on BMI is presented in
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Table 11.1 Nutritional status of ch
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Table 11.3 Breastfeeding status acc
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Table 11.5 Foods and liquids consum
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Table 11.7 Prevalence of anaemia in
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Table 11.9 Micronutrient intake amo
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Table 11.11 Nutritional status of w
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Table 11.13 Micronutrient intake am
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The ownership and use of both treat
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12.3 HOUSEHOLD ACCESS AND USE OF IT
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SP during routine ANC visits. Follo
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Trends: The percentage of children
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Table 12.3 Indoor residual spraying
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Table 12.7 Use of existing ITNs Per
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Table 12.11 Prevalence, diagnosis,
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Table 12.13 Type of antimalarial dr
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HIV/AIDS-RELATED KNOWLEDGE, 13 ATTI
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avoid getting HIV; 64% of women and
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Only 1% of all women reported havin
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Forty-two percent of women and 41%
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13.9.3 Premarital Sex The 2015-16 M
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Table 13.1 Knowledge of HIV prevent
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Table 13.4 Discriminatory attitudes
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Table 13.5.2 Multiple sexual partne
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Table 13.7.1 Coverage of prior HIV
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Table 13.8 Pregnant women counselle
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Table 13.10 Self-reported prevalenc
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Table 13.13 Premarital sexual inter
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Table 13.14.2 Multiple sexual partn
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HIV PREVALENCE 14 Key Findings HIV
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The HIV prevalence among women and
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Page 269 and 270: Table 14.1 Coverage of HIV testing
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Page 307 and 308: Table 16.10.2 Attitude toward wife
Page 309 and 310: Table 16.12 Ability to negotiate se
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Page 368 and 369: CHAPTER 4 MARRIAGE AND SEXUAL ACTIV
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Table A-4.4 Median age at first mar
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Table A-4.7.1 Recent sexual activit
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CHAPTER 5 FERTILITY Table A-5.2 Fer
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Table A-5.10 Median age at first bi
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CHAPTER 6 FERTILITY PREFERENCES Tab
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CHAPTER 7 FAMILY PLANNING Table A-7
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Table A-7.13 Decision-making about
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Table A-7.16 Contact of nonusers wi
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CHAPTER 9 MATERNAL HEALTH CARE Tabl
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Table A-9.4 Tetanus toxoid injectio
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Table A-9.6 Assistance during deliv
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Table A-9.9 Timing of first postnat
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Table A-9.11 Timing of first postna
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Table A-9.13 Content of postnatal c
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Table A-9.15 Prevalence of obstetri
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CHAPTER 10 CHILD HEALTH Table A-10.
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Table A-10.4 Possession and observa
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Table A-10.6 Prevalence and treatme
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Table A-10.8 Feeding practices duri
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Table A-10.10 Knowledge of ORS pack
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CHAPTER 11 NUTRITION OF CHILDREN AN
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Table A-11.2 Initial breastfeeding:
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Table A-11.7 Prevalence of anaemia
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Table A-11.9 Micronutrient intake a
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Table A-11.11 Nutritional status of
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Table A-11.13 Micronutrient intake
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Table A-12.2 Source of mosquito net
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Table A-12.6 Use of mosquito nets b
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Table A-12.8 Use of mosquito nets b
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Table A-12.10 Use of Intermittent P
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Table A-12.14 Haemoglobin
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Table A-13.4 Discriminatory attitud
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Table A-13.5.2 Multiple sexual part
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Table A-13.7.1 Coverage of prior HI
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Table A-13.8 Pregnant women counsel
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Table A-13.10 Self-reported prevale
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Table A-13.12 Age at first sexual i
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Table A-13.14.1 Multiple sexual par
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CHAPTER 14 HIV PREVALENCE Table A-1
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Table A-14.3 HIV prevalence: Distri
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CHAPTER 16 WOMEN’S EMPOWERMENT Ta
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Table A-16.4.1 Ownership of assets:
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Table A-16.5.1 Ownership of title o
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Table A-16.6.1 Ownership of title o
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Table A-16.7.1 Ownership and use of
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Table A-16.9.1 Women’s participat
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Table A-16.10.1 Attitude toward wif
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Table A-16.11 Attitudes toward nego
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CHAPTER 17 DOMESTIC VIOLENCE Table
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Table A-17.4 Experience of sexual v
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Table A-17.10 Spousal violence: Dis
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Table A-17.15 Violence by women aga
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SAMPLE DESIGN Appendix B B.1 INTROD
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two-stage stratified cluster sample
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Table B.1 Distribution of residenti
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Table B.4 Sample allocation of comp
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Table B.6 Sample implementation: Me
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Table B.8 Coverage of HIV testing b
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Table B.10 Coverage of HIV testing
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where h represents the stratum whic
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Table C.2 Sampling errors: Total sa
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Table C.4 Sampling errors: Rural sa
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Table C.6 Sampling errors: Central
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Table C.8 Sampling errors: Chitipa
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Table C.10 Sampling errors: Nkhatab
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Table C.12 Sampling errors: Mzimba
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Table C.14 Sampling errors: Kasungu
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Table C.16 Sampling errors: Ntchisi
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Table C.18 Sampling errors: Salima
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Table C.20 Sampling errors: Mchinji
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Table C.22 Sampling errors: Ntcheu
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Table C.24 Sampling errors: Maching
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Table C.26 Sampling errors: Chiradz
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Table C.28 Sampling errors: Mwanza
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Table C.30 Sampling errors: Mulanje
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Table C.32 Sampling errors: Chikwaw
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Table C.34 Sampling errors: Balaka
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Table C.36 Sampling errors for adul
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Table D.2.1 Age distribution of eli
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Table D.5 Reporting of age at death
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Table D.7 Nutritional status of chi
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SURVEY PERSONNEL Appendix E 2015-16
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Team Leaders Benson Mvula Grossveno
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Ireen Yohane Chisomo Mkwapatira Des
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2015-2016 MALAWI DEMOGRAPHIC AND HE
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INTRODUCTION AND CONSENT Hello. My
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HOUSEHOLD SCHEDULE IF AGE 0-17 YEAR
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HOUSEHOLD SCHEDULE IF AGE 0-17 YEAR
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HOUSEHOLD CHARACTERISTICS NO. QUEST
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HOUSEHOLD CHARACTERISTICS NO. QUEST
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MOSQUITO NETS NET #1 NET #2 NET #3
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ADDITIONAL HOUSEHOLD CHARACTERISTIC
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200 CHILD FUNCTIONING AND DISABILIT
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300 CHILD FUNCTIONING AND DISABILIT
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CHILD FUNCTIONING AND DISABILITY (A
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ELIGIBILITY AND CONSENT FOR THE MIC
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INTERVIEWER'S OBSERVATIONS TO BE FI
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WEIGHT, HEIGHT AND HEMOGLOBIN MEASU
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WEIGHT, HEIGHT AND HEMOGLOBIN MEASU
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WEIGHT, HEIGHT, HEMOGLOBIN MEASUREM
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HIV TESTING FOR MEN AGE 15-54 301 C
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SECTION 1. RESPONDENT'S BACKGROUND
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SECTION 2. REPRODUCTION NO. QUESTIO
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212 213 214 215 216 217 218 219 220
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SECTION 3. CONTRACEPTION 301 Now I
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SECTION 3. CONTRACEPTION NO. QUESTI
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SECTION 4. PREGNANCY AND POSTNATAL
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SECTION 5A. CHILD IMMUNIZATION (LAS
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SECTION 5A. CHILD IMMUNIZATION (LAS
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SECTION 5B. CHILD IMMUNIZATION (NEX
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SECTION 5B. CHILD IMMUNIZATION (NEX
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SECTION 6. CHILD HEALTH AND NUTRITI
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SECTION 7. MARRIAGE AND SEXUAL ACTI
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SECTION 8. FERTILITY PREFERENCES NO
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SECTION 9. HUSBAND'S BACKGROUND AND
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NO. QUESTIONS AND FILTERS SECTION 1
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SECTION 10. HIV/AIDS NO. QUESTIONS
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SECTION 10. HIV/AIDS NO. QUESTIONS
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SECTION 11. OTHER HEALTH ISSUES NO.
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SECTION MM. MATERNAL MORTALITY MODU
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SECTION 13. DOMESTIC VIOLENCE MODUL
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INSTRUCTIONS: COL. 1 COL. 2 ONLY ON
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SECTION 1. RESPONDENT'S BACKGROUND
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SECTION 3. CONTRACEPTION 301 Now I
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SECTION 6. EMPLOYMENT AND GENDER RO
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SECTION 7. HIV/AIDS NO. QUESTIONS A
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SECTION 7. HIV/AIDS NO. QUESTIONS A
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INTERVIEWER'S OBSERVATIONS TO BE FI
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MALAWI GOVERNEMNT NATIONAL STATISTI
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Malawi 2015-16

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