Female Literacy & Its Relevance With Maternal and Infant Mortality Rates

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    International Journal of Management (IJM), ISSN 0976 6502(Print), ISSN

    0976 6510(Online), Volume 3, Issue 2, May-August (2012)

    65

    FEMALE LITERACY & ITS RELEVANCE WITH MATERNAL

    AND INFANT MORTALITY RATES

    Garima Jain

    Ph.D. Scholar IET-Lucknow

    Email : [email protected]

    Dr. Vikram Bisen

    Associate Professor IET-Lucknow

    ABSTRACT

    When a female is educated the next generation is bound to be educated henceeducation has many folds impact on the social and economical development of any nation.

    Education as such, results in positive externalities. Not only does it have an intrinsic value inthe sense of the joy of learning, reading etc, but it also has instrumental, social and process

    roles. Moreover education may spread through interpersonal motivation. When one family

    sends their child to school, their neighbor is likely to do so as well. Womens education too,often spreads this way, more specifically, through same sex effects. i.e. an educated woman is

    far more likely to send her daughter to school than an uneducated woman. Also, she is likelyto maintain better conditions of nutrition and hygiene in her household and thereby improve

    her familys health (Sen 1997).Literacy is directly related to the status of a woman, her age at marriage, her decision powerand to mention especially capability to access health care services. Literacy not only increases

    womens self-confidence but also makes them more exposed to information and thereby

    altering the way others respond to them. Female literacy improves the chances that womenwill obtain meaningful employment, reduces their demand for children and improves health-

    seeking behavior, makes them aware of Nutritional requirements - all these combinedimprove the chances of survival of both - the mother and the baby.

    The present paper focuses on the relationship between the female literacy and mortality rates

    (IMR and MMR) and establishes an inverse relationship between them.

    INTRODUCTION

    Not only might women residing in countries with higher female literacyenjoy greater personal safety and physical integrity, they may also have greater inheritance

    rights, ownership rights in land and loans, and labour market rights (Jtting et al., 2008;Magadi, Madise, & Rodrigues, 2000). Countries with higher female literacy may also devote

    more resources to the provisioning of maternal health care services along a range of maternalhealth care delivery models, including physicians, nurses, and traditional birth attendants. In

    terms of the inverse equity hypothesis, the greater range of services available to women in

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    66

    countries with higher female literacy may contribute to lower inequalities in use compared to

    those found in countries with lower female literacy.The United Nations Millennium Development Goals have identified improving womens

    access to maternal health care as a key target in reducing maternal mortality in the world.Individual socio-demographic and national-level environmental factors may affect womens

    use of maternal health care. At the individual level, age, income, education, and urban or rural

    residence may all play a role in womens use of maternal health care services (Gyimah,Baffour, & Addai, 2006; Magadi, Agwanda, & Obare, 2007; Magadi, Zulu, & Brockenhoff,

    2003; Obermeyer & Potter, 1991). Differences between countries along such dimensions asfemale literacy rates or levels of economic development may play a pivotal role in womens

    reproductive health, and maternal and infant mortality (Frey & Field, 2000; Obermeyer,1993;

    Shen & Williamson, 1997; Shiffman, 2000; Wang, 2007). National female literacy rates arean important indicator of womens status and autonomy in society (Frey & Field, 2000;

    Magadi, Agwanda & Obare, 2007).

    Mortality, which is one of the major structural variables of demography, has continuouslybeen affecting the population structure, particularly in developing countries like India. Most

    of the countries in the world, developed as well as developing, have experienced drasticimprovement in life expectancy. Among various factors responsible for decline in mortality,

    economic factors: increase in per capita income, social factors: improvement in nutrition,housing and clothing, sanitation, water supply, cleanliness, individual hygienic practices and

    developments of medical science have played an important role. However, women andchildren do not equally enjoy fruits of these developments. Women and children are still thedeprived sector of the society and maternal and infant mortality remain high in spite of a

    striking fall in general mortality rate.

    CONCEPTS OF MATERNAL AND INFANT MORTALITY

    Maternal mortality is a sensitive indicator of health and general socioeconomic developmentof a community or of a nation. It is one of the leading causes of death among women in their

    reproductive age. In India like most developing countries, women of reproductive ages

    constitute a little more than one-fifth of the total population and are exposed repeatedly to the

    risk of pregnancy. More maternal deaths occur in India in one week than in all of Europe inone year. In a single day in India, the total number of casualties due to pregnancy and child

    birth-related complications is more than recorded in one month in the entire developedworld.Maternal mortality is difficult to measure (Campbell and Graham 1990). The tenth

    revision of the International Classification of Diseases (ICD- 10) defines a maternal death as

    the death of a woman while pregnant or within 42 days of termination of pregnancy,irrespective of the duration and site of the pregnancy, from any cause related to or aggravated

    by the pregnancy or its management but not from accidental or incidental causes.While many health indicators are required to arrive at a comprehensive assessment of the

    health status of a population, a particularly sensitive and widely used summary indicator is theInfant Mortality Rate (Visaria 1985). Infant Mortality refers to death of children in age group

    0-1. Infant Mortality Rate (IMR) is the number of infant deaths that occur per thousand livebirths in a population in one calendar year. It is one of the universally accepted indicators of

    health status of not only infants but also of the whole population and of socio-economicconditions under which they live.

    EDUCATION AS AN INTERVENING VARIABLE IN MATERNAL AND INFANT

    MORTALITY DECLINE

    It is universally accepted that the higher the female literacy rate, the lower the MMR.

    Studying at school /college for a longer period will prevent early marriage and earlymotherhood. Educated women will seek proper antenatal and intra-natal supervision. The

    female literacy rates in Sri-Lanka and Thailand are over 80 percent and the MMR in these

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    International Journal of Management (IJM), ISSN 0976 6502(Print), ISSN

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    67

    two countries is 60 per 100,000 only. Although economically, there is not much of difference

    between the MMR of these two countries 340 as compared to 60. Kerala, having the highestfemale literacy rate in India, has the lowest MMR, compared to Bihar < U.P. and M.P.

    Mothers residing in countries with higher literacy rates were more likely to use maternal

    health care, after adjusting for national economic development and individual socio-

    demographic factors. socio-economic status has been linked to more frequent use of maternalhealth clinics (Rabe-Hesketh & Skrondal, 2005).

    Although Magadi et al. (2007)found women in high female literacy countries less likely tomake an inadequate number of visits to maternal health care clinics than women in low

    female literacy countries.

    The reduction of maternal and infant deaths is high priority for the international community,

    especially in view of the increased attention on the Millennium Development Goals. Maternal

    deaths arise from the risks attributable to pregnancy and childbirth as well as from the poor

    quality care from health services.

    Ecological analyses have found direct associations between female literacy and nationaleconomic development for outcomes such as maternal and infant mortality in positive

    direction (Jtting, Morrisson, Dayton-Johnson & Drechsler, 2008; Wang, 2007).

    A number of studies have examined empirical evidences concerning the influence ofdemographic and socio-economic factors of child survival (Gandotra et al. 1980; Clealand

    and Ginneken et al. 1988; Miller 1983; Das Gupta 1990; Caldwell 1979; Griffith et al. 2001).All these studies reinforce the existing argument for a greater emphasis on the schooling of

    girls to give women themselves and the next generation a greater chance of survival. Severalauthors have discussed the mechanism of literacy influence on infant survival (Caldwell 1979,1986; Cohrane 1980; Hobecraft et al. 1984; United Nations 1985; Ware 1984; Gokhale et al.

    2002; Govindasamy and Ramesh 1997). Ruzika and Kanitkar (1 972) found mothers literacy

    to be the most effective single factor determining the level of infant mortality in an urban

    setting.

    Pooled data from the Demographic and Health Surveys (DHS) of South-Asian countries fromthe late 1990s to examine the association between female literacy and antenatal care visits and

    found that women in countries with higher female literacy were more likely to start antenatal

    care late in their pregnancy, but less likely to make an inadequate number of visits.

    Womens literacy and their use of health facilities go hand in hand. Krishnan (1985)

    examined overall death rates in terms of literacy, doctor, hospital and bed population ratio,per capita income expenditure on medical and health services. He observed that literacy was

    the most important factor while health services also had some explanatory power.

    A number of cross-section studies for India have explored the impact of female literacy onmaternal and child death. Sharma and Retherford (1999) have used 1991 Census data,aggregated to district level, for 326 districts. They show that female literacy would have a

    significant negative impact on maternal and child deaths.High maternal and infant deaths can be attributed to low status and low capability of women.

    These deaths are preventable if more and more women are literate thereby exposing them tonew ideas. Literacy can make them aware of a range of services from antenatal to nutrition,personal hygiene, immunisation, birth spacing, maternal skills, breast-feeding and overall

    health.

    In order to reduce the high maternal mortality in the developing countries, government

    should work on the causes which are multiple, inter-related and tiered. The most superficial of

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    themselves of antenatal care, te

    delivery and complete immunizReviews suggest that birth int

    mortality than does maternal aassociation is not always foun

    complete their family in a short

    Afew studies (Jejeebhoy and

    that interspouse consultation isregard to family size and the ad

    the role of schooling in crea

    extensive use and approval ofenhancing female autonomy, i

    result in decline in the number

    and maternal deaths. More receducation (at least 5-6 years) th

    in female autonomy, particularand Basu 1996; Jejeebhoy 1995

    The influence of female literexamined using data from the s

    as well as microlevel data on ru

    3 years. After consideringcomprehensive models were de

    underweight, anaemia, and unmodels were low maternal bo

    hospitalized deliveries, treatmvaccinations.

    Addition of female illiteracy

    variables significantly. Mean psignificantly higher (p

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    Studies suggests that national

    status in India such as progra

    may encourage female educatiin maternal health care use. As

    with maternal health care use fsystem and the greater resourc

    anticipate that the benefits of liexperienced differently by in

    income.

    There have been efforts to cor

    child mortality. In rural areacompared to urban areas. Furth

    before reaching the age of 18 y

    and level of education. Availablevel of education and her fertil

    STATISTICAL RELATION

    Table below presents data for IAs hypothesized, the inverse c

    literacy and MMR and positive

    However, large variations are

    levels of female literacy. For e64 in Gujarat and 53 in West B

    At the same time, estimates ofappear to be on the lower side

    the same band of female literacand 154 in Andhra Pradesh an

    be conceived that several facterode the positive influence

    evidences to show that educa

    factors such as age at marriaginfluenced by socio-cultural no

    not reduce the role of womens

    as well which enhance women

    anagement (IJM), ISSN 0976 6502(Pri

    e 3, Issue 2, May-August (2012)

    olicies that are able to address female literacy an

    s that cover costs for tuition, school uniforms and

    n and in the long-run help reduce income-related isuch, female literacy at the national level may be

    r all women in the country due to the greater mats and autonomy available to all women. We migh

    ving in a country with higher average female literividual women depending on womens relative

    relate female literacy with age at marriage, fertilit

    , a higher proportion of married women are iller, among illiterates, around two-thirds of women

    ars, suggesting a positive correlation between age

    le data also suggest an inverse correlation betweenity.

    HIPS

    MR, MMR and adult female literacy in major statrrelation between (i) female literacy and IMR and

    correlation between (iii) IMR and MMR is statistic

    seen in mortality rates corresponding to more or l

    ample, IMR ranges from 98 in Orissa and Madhyaengal in the same band of female literacy (50 to 6

    MR for some states like Gujarat and Tamil NaduSRS 1999). Interstate variations are even greater i

    y. For example, it is as low as 29 in Gujarat, 105 ias high as 498 in Madhya Pradesh and 401 in Ass

    rs block some of the postulated pathways of inflof womens education (Shivakumar 1995). The

    tion leads to favourable shifts in maternal behav

    , child spacing, family size and so on appear torms of society (Ware 1984; Cleland 1990). Howe

    literacy in any way. It only reiterates to focus on ot

    s capabilities.

    t), ISSN

    womens

    textbooks,

    nequalitiesassociated

    rity of thet therefore

    cy will behousehold

    rates and

    iterates asot married

    t marriage

    a womans

    s of India.(ii) female

    lly true.

    ss similar

    Pradesh toper cent).

    rima facieMMR for

    Haryana,am. It may

    uence andre are no

    iour, since

    e stronglyer, it does

    her factors

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    72

    TABLE

    Female literacy and mortalities in India:

    States Female LiteracyIMR** MMR**

    India 54.2 71 408

    Andhra Pradesh 51.2 66 154

    Assam 56 78 401

    Bihar 33.6 67 451

    Gujarat 58.6 64 29

    Haryana 56.3 69 105

    Karnataka 57.5 58 195

    Kerala 87.9 16 195

    Madhya Pradesh 50.3 97 498

    Maharashtra 67.5 49 135

    Orissa 51 98 361

    Punjab 63.6 54 196

    Rajasthan 44.3 83 677

    Tamil Naidu 64.6 53 76

    Uttar Pradesh 43 85 707

    West Bengal 60.2 53 264

    Source: * - Census of India, 2001 ** - SRS, Registrar General of India.

    0

    20

    40

    60

    80

    100

    120

    Female Literacy IMR**

    0

    100

    200

    300

    400

    500

    600

    700

    800

    Female literacy and mortalities in India: Female Literacy

    Female literacy and mortalities in India: MMR**

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    73

    Table :- Effect of Female literacy on four RCH indicators [According to Census

    2011,Govt Of India]

    Location Female

    Literacy Rate

    Infant

    Mortality rate

    (No. of death /

    1,000 livebirth)

    Fertility rate

    (No. of child

    born/woman)

    Maternal

    Mortality rate

    (No. of

    deaths/1,00,000live birth)

    Under 5

    Mortality

    rate (No. of

    death /1,000 live

    birth)

    Year Year Year Year Year

    2001 2011 2001 2011 2001 2011 2001 2011 200

    1

    2011

    India 54.20 65.46 63.19 47.57 3.04 2.62 306 230 87 63

    Uttar

    Pradesh

    42.85 59.26 68.45 51.42 3.72 2.81 372 245 91 66

    0

    10

    20

    30

    40

    50

    60

    70

    1 2 3 4

    INDIA

    Female Literacy Rate / Infant

    Mortality Rate

    Series

    1

    0

    10

    20

    30

    40

    50

    60

    70

    1 2 3 4

    INDIA

    Female Literacy Rate / Fertility Rate

    Series1

    0

    10

    20

    30

    40

    50

    60

    70

    1 2 3 4

    INDIA

    Female Literacy Rate / MeternalMortality Rate

    Series

    1

    0

    10

    20

    30

    40

    50

    60

    70

    1 2 3 4

    INDIA

    Female Literacy Rate / Under 5Morality Rate

    Series1

    0

    10

    20

    30

    40

    50

    60

    70

    80

    1 2 3 4

    UTTAR PRADESH

    Female Literacy Rate / InfantMortality Rate

    Serie

    s1

    0

    10

    20

    30

    40

    50

    60

    70

    1 2 3 4

    UTTAR PRADESH

    Female Literacy Rate / Fertility Rate

    Series1

    0

    10

    20

    30

    40

    50

    60

    70

    1 2 3 4

    UTTAR PRADESH

    Female Literacy Rate / MeternalMortality Rate

    Se

    rie

    s1

    0

    10

    20

    30

    40

    50

    60

    70

    1 2 3 4

    UTTAR PRADESH

    Female Literacy Rate / Under 5 MoralityRate

    Series1

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    74

    Table: Effect of Female literacy on four RCH indicators

    Location FemaleLiteracy

    rate (%)

    InfantMortality

    rate [No. of

    death / 1,000live birth]

    Fertility rate[No. of child

    born/woman]

    Maternal Mortalityrate [No. of

    deaths/1,00,000 live

    birth]

    Under 5Mortality rate

    [No. of death

    / 1,000 livebirth]

    Kanpur

    Nagar

    76.89 31.27 1.59 150 6

    Lucknow 73.88 34.57 1.68 156 8

    Saharanpur 60.72 48.63 3.15 227 18

    Jhansi 56.60 53.45 3.24 235 21

    Budaun 40.92 69.35 3.63 339 69

    Shrawasti 37.07 72.18 4.02 363 72

    There exists a direct correlation between Female Literacy and Infant Mortality.

    0

    10

    20

    3040

    50

    60

    70

    80

    90

    1 2

    Kanpur Nagar

    Female Literacy Rate / InfantMorality Rate

    0

    10

    20

    30

    40

    50

    60

    70

    80

    90

    1 2

    Kanpur Nagar

    Female Literacy Rate /Fertility Rate

    0

    10

    20

    30

    40

    50

    60

    70

    80

    90

    1 2

    Kanpur Nagar

    Female Literacy Rate/Maternal Morality Rate

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    1 2

    Kanpur Nagar

    Female Literacy Rate / InfantMorality Rate

    S

    e

    Female Literacy Rat e / InfantM oral i ty Rate

    0

    20

    40

    60

    80

    1 2

    Lucknow

    Series1

    Female Literacy Rate /Fert i l i ty Rate

    0

    20

    40

    60

    80

    1 2

    Lucknow

    Series1

    Female Literacy Rate /MaternalMorality Rate

    0

    10

    20

    30

    40

    50

    60

    70

    80

    1 2

    Lucknow

    Series1

    Female Literacy Rate /Under 5 Moral i ty Rate

    0

    20

    40

    60

    80

    1 2

    Lucknow

    Series1

    Female Literacy Rate / InfantM oral i ty Rate

    0

    20

    40

    60

    80

    1 2

    Saharanpur

    Series1

    Female Literacy Rate /Fert i l i ty Rate

    0

    20

    40

    60

    80

    1 2

    Saharanpur

    Series1

    Female Literacy Rate/M aternal Moral i ty Rate

    0

    20

    40

    60

    80

    1 2

    Saharanpur

    Series1

    Female Literacy Rate /Under 5 M orality Rate

    0

    20

    40

    60

    80

    1 2

    Saharanpur

    Series1

    51.5

    52

    52.5

    5353.5

    54

    54.5

    55

    55.5

    56

    56.5

    57

    1 2

    Jhansi

    Female Literacy Rate / InfantMorality Rate

    0

    10

    20

    30

    40

    50

    60

    1 2

    Jhansi

    Female Literacy Rate / FertilityRate

    Series1

    0

    10

    20

    30

    40

    50

    60

    1 2

    Jhansi

    Female Literacy Rate/Maternal Morality Rate

    0

    10

    20

    30

    40

    50

    60

    1

    Jhansi

    Female Literacy Rate / Under5 Morality Rate

    0

    10

    20

    30

    40

    50

    60

    70

    80

    1

    Badaun

    Female Literacy Rate / InfantMorality Rate

    0

    5

    10

    15

    20

    25

    30

    35

    40

    45

    1

    Badaun

    Female Literacy Rate / FertilityRate

    S

    e

    ri

    e

    0

    5

    10

    15

    20

    25

    30

    35

    40

    45

    1

    Badaun

    Female Literacy Rate /MaternalMorality Rate

    S

    e

    ri

    e

    0

    10

    20

    30

    40

    50

    60

    70

    80

    1

    Badaun

    Female Literacy Rate / Under5 Morality Rate

    S

    e

    ri

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    Effect of Literacy Rate

    District FL R.A. GP & LB EA

    Kanpur 76.89 84.57 86.11 88.42

    Lucknow 73.88 81.26 82.74 84.96

    Saharanpur 60.72 66.79 68 69.8

    Jhansi 56.6 62.26 63.39 65.09

    Budhaun 40.92 4.01 45.83 47.05

    Shrawasti 37.07 40.77 41.51 42.63

    0

    10

    20

    30

    40

    50

    60

    70

    80

    1

    Shrawasti

    Female Literacy Rate / InfantMorality Rate

    S

    e

    ri

    0

    5

    10

    15

    20

    25

    30

    35

    40

    1

    Shrawasti

    Female Literacy Rate /Fertility Rate

    0

    5

    10

    15

    20

    25

    30

    35

    40

    1 2

    Shrawasti

    Female Literacy Rate /MaternalMorality Rate

    S

    e

    rie

    0

    10

    20

    30

    40

    50

    60

    70

    80

    1

    Shrawasti

    Female Literacy Rate / Under5 Morality Rate

    S

    e

    ri

    FL - Female Literacy.RA - Female Literacy Promotion in Rural Area.GP & LB - Female Literacy Promotion y Gram Pradhan and LocalBody.

    EA - Female Literacy Promotion economicAspect.

    FL / R.A.

    0

    10

    20

    30

    40

    50

    60

    70

    80

    90

    1 2

    Kanpur Nagar

    Series1

    FL / GP & LB

    0

    10

    20

    30

    40

    50

    60

    70

    80

    90

    1 2

    Kanpur Nagar

    Series1

    FL / R.A.

    0

    10

    20

    30

    40

    50

    60

    70

    80

    1 2

    Lucknow

    Series1

    FL / GP & LB

    0

    10

    20

    30

    40

    50

    60

    70

    80

    1 2

    Lucknow

    Series1

    FL / EA

    0

    10

    20

    30

    40

    50

    60

    70

    80

    1 2

    Lucknow

    Series1

    F L / EA

    0

    10

    20

    30

    40

    50

    60

    70

    1 2

    Saharanpur

    Series1

    FL / GP & LB

    0

    10

    20

    30

    40

    50

    60

    70

    1 2

    Saharanpur

    Series1

    FL / EA

    0

    10

    20

    30

    40

    50

    60

    70

    1 2

    Saharanpur

    Series1

    FL / EA

    0

    10

    20

    30

    40

    50

    60

    70

    80

    90

    1 2

    Kanpur Nagar

    Series1

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    CONCLUSION

    There are a number of factors including economic, social, cultural, biological and medical,which influence infant and maternal deaths. It is the product of an enormous number of

    complex and interrelated forces. However, they are intimately connected with maternal

    capabilities. It is a sorry state of affairs that the majority of maternal and infant deathsoccurring in India arepreventable and yet consistently remain on unacceptably high levels.

    Given the close, strong and direct association of maternal and infant survival to thecapabilities of the mother, it only reflects the lack of seriousness of government and society in

    addressing the issues of primary concerns. A large number of studies throwing light on themechanisms whereby female literacy is converted to low maternal and infant mortality have

    shown almost convincingly that a dramatic universal exists relationship between them.However, the actual behaviour or attitudes or abilities that work behind them remain an areaof social research.

    Female literacy is the one, which may go a long way not only in reducing mortalities but alsoindirectly influencing the number of economic, sociocultural, and health conditions related to

    the low status of women. Thus, increasing female literacy leads to a win-win situation. India

    spends far less on health and education compared to many other countries. Taking cognisanceof the multiple channels through which female education is translated into lower infant and

    maternal mortality, its significance hardly needs to be emphasized. It is high time that the

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    government, nongovernment organisations and civil society, all take up a challenge for a

    better tomorrow.

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