Sex Differentials in Child Health and Nutritional Status in Punjab - PowerPoint PPT Presentation

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Sex Differentials in Child Health and Nutritional Status in Punjab

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Discrimination for girls and favors to boys is inheritably taught to the parents. ... as on the contrary boys are given more extra nutritional value food and care. ... – PowerPoint PPT presentation

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Title: Sex Differentials in Child Health and Nutritional Status in Punjab


1
Sex Differentials in Child Health and Nutritional
Status in Punjab
  • Suresh Sharma
  • Population Research Center
  • Institute of Economic Growth
  • University Enclave, Delhi-7

2
Punjab A Brief Profile
  • Situated in the North West of India
  • Area 50362 Sq. Kilometers.-1.57 of countrys
    area
  • Population as per 2001 census 24.3 million 2.37
    of Indias population bigger than at least 150
    countries of the world
  • Punjabs SR of 876 one of the lowest in country
  • Its CSR OF 798 is perhaps lowest in the whole
    world
  • One of the most prosperous states in India-only
    12 of population below poverty line as against
    36 for India. Has a very high per Capita Income
  • The State played a major and critical role in the
    success of Green Revolution-still contributes
    64.1 of wheat and 42 of rice to the central
    pool.

3
Child Sex Ratio in Punjab and its Districts
1991-2001
4
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5
Questions
  • First, are boys more likely to have complete
    vaccination coverage than girls?
  • Second, are girls more likely to suffer from
    Diarrhoea? Are boys more likely to receive care
    for episode of Diarrhoea, and are they more
    likely to receive better care than girls?
  • Third, are girls more likely to be malnourished
    than boys? If so, does the extent of pro-male
    bias depend on various socioeconomic and
    demographic factors?

6
Methods of Analysis
  • First part of the analysis, all indicators of
    gender difference are measured either as
    Percentages or ratio
  • Second level of analysis, we estimate the effect
    of the sex of the child on various outcomes of
    gender difference, controlling for the
    demographic and socioeconomic characteristics of
    women
  • Nature of the dependent variable (0, 1) ,
  • using binary logistic regression

7
Areas of female Discrimination
  • Nutrition and food
  • Medical and health care
  • Education Opportunities
  • Feeding practices
  • Household chores
  • Distribution of family resources
  • Outright Neglect of girls
  • Female Infanticide
  • Sex selective abortions

8
Sex Differences on these Dimensions
  • School Attendance
  • Immunization
  • Prevalence of Diarrhoea and Treatment
  • Treatment Seeking for Illness
  • Nutritional Status

9
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10
Percentage of Children Aged 12-35 Months, by
source of Information and Specific Vaccination,
According to the Sex of the Child
11
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12
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13
of Children under Age 3 Years Classified as
Undernourished on three Anthropometric Indices of
Nutritional Status by Sex of the Child
14
Anaemia among Children
Children age 6-59 months who are anaemic ()
15
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16
Reason for Son Preference and Daughter Neglect
  • Economic Utility of Sons
  • Sons are more likely than daughters to provide
    family labor on the farm or in the family
    business, earn wages, and support the parents
    during old age
  • Upon marriage, a son brings a daughter-in low
    into his family, and she provides additional help
    around the house as well as economic rewards in
    the from of dowry payments
  • Although a daughter provides help in household
    work before marriage, she is considered to be an
    economic liability by her parents because of the
    dowry payment demanded by the grooms family, as
    well as the high cost of wedding which is
    generally the responsibility of the brides
    family to bear
  • Sons plays an important role in local power
    struggles
  • Socio-Cultural Utility of Sons
  • For Continuation of the family line
  • Historical Reasons

17
Second level of analysis
  • For the analysis of the undernourished children,
    the dependent variable was equal to 1 if the
    childs z-score below 2 standard deviation units
    (under-nourished child) and equal to 0 if a
    z-score falls above 2 standard deviation (well
    nourished child).
  • Due to the small number of cases the effect of
    the sex of the child on the choice of a treatment
    alternative is not assessed in a regression
    model.
  • Coefficients are estimated using the maximum
    likelihood method (MLM) of estimation.
  • The independent variables are recoded into
    categorical indicator variables. One value of
    each variable is chosen to be the reference
    category.The reference category was the first
    category of the variable
  • For case of interpretation, the results are
    discussed in terms of the odds ratios. The odds
    ratio is a measure that approximates how much
    more likely,(or unlikely) it is for the outcome,
    in this case,
  • A variable was considered significantly
    associated with mortality when its p value was
    below 0.5.

18
Logistic Regression Analysis of the Low
Weight-for Age as a function of selected
Explanatory Variables
Note p
19
Logistic Regression Analysis of the Low
Height-for Age as a function of selected
Explanatory Variables.
Note p
20
Results (Both Models )
  • The Odds ratios indicate that in Punjab girls are
    more likely to be underweight (OR1.41 pand stunted (OR1.32 p
  • In both model, preceding birth interval of more
    than 24 months are associated with lower odds of
    being underweight and stunted.
  • Fathers education, young age of mother at the
    time of child birth (20-29 years) and rural
    residence is also associated with lower odds of
    being underweight.
  • In both models, higher age of child (12-23 and
    24-35) is associated with underweight and
    stunting.
  • This may be due to positive effect of
    breastfeeding on the nutritional status of
    children.

21
CONCLUDING POINTS
  • Analyses shows gender bias in treatment for
    immunization and giving nutrition health to boys
    specifically.
  • Discrimination for girls and favors to boys is
    inheritably taught to the parents.
  • Studies reflect that the people living in both
    rural and urban parts of Punjab prefer sons than
    a daughter also nutritionally girls have lower
    value than boys.
  • Parents of a girl child give less time and
    inferior care in terms of food allocation to
    girls where as on the contrary boys are given
    more extra nutritional value food and care.
  • Even the living status of a family does not
    matter in giving preference to a boy child,
    whether the family is rich or poor the low
    nutrition food is confined to a girl child only.
  • The sense of greater concern and responsibility
    can be seen among the parents of a boy child, on
    the other hand girls child is uninterested and
    managed.

22
Thank You
23
Any Reason for Daughter Preference?
  • According to Hindu tradition parents can earn
    religious merits by selflessly giving away their
    daughter in marriage According to scriptures,
    Kanya Dan or the gift of a virgin in marriage,
    is one route salvation
  • Provide more emotional satisfaction to parents
    than sons
  • Daughters needs to cry at the death of their
    parents?

24
Implication of Low and Falling Sex Ratio in Punjab
  • Have the living conditions of the females of the
    females in general and young girls in particular
    deteriorated overtime?
  • Has there been a greater undercount of females or
    an over count of males in the census?
  • Has the decline in death rate continued to be
    favorable to males?
  • Has the SRB become more favorable to males in
    recent rears?
  • Is the practice of female infanticide and
    foeticide in Punjab substantially Responsible for
    the shortage of girls?
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