Your search found 4 Results

  1. 1
    195195

    Sex ratio at birth in China.

    China Population Today. 2004 Jun; 21(3):11-13.

    The demographic structure of populations, particularly age and sex, has profound consequences for harmonious and sustainable social and economic development. Furthermore, analyzing sex ratios of populations is important in analyzing the development of the status of women and girls. Following is a brief report released by WFPA China on the facts and figures about the sex ratios in the world and especially in China. According to the five censuses, the sex ratio in the general population has been high throughout the last 50 years. As shown in Chart 2, sex ratio at birth in China has increased over the past two decades, from 109 in 1982 to 117 in 2000. (excerpt)
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  2. 2
    182563
    Peer Reviewed

    Determinants of child malnutrition -- an intervention model for Botswana.

    Tharakan CT; Suchindran CM

    Nutrition Research. 1999 Jun; 19(6):843-860.

    Child malnutrition measured by stunting, wasting, and under-weight is a serious problem in Botswana. There are conflicting reports from previous studies in developing countries on the effect of some of the known factors affecting child malnutrition. We used descriptive statistics, regression, and logistic regression methods to identify the determinants of malnutrition based on data from a national cross-sectional study. There is 29.6% stunting, 14.9% underweight, and 7.1% wasting among children. Ordered logistic regression analysis shows the significance of some of the factors not shown by association statistics, regression analysis, and ordinary logistic regression analysis. Hence it is a better tool in the search for determinants of child malnutrition. The determinants of malnutrition cover biological, social, cultural, economic, and morbidity factors: age, birth-weight, breast-feeding duration, gender of family head, residence, house type, toilet facility, education of mother and father, child caretaker; intake levels of milk and dairy products, staple foods and cereals, and beverages; and incidence of cough and diarrhea. The influence of these factors can be used in the development of strategies of intervention for reducing child malnutrition. (author's)
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  3. 3
    795858

    Screening procedures for detecting errors in maternity history data.

    Brass W

    In: United Nations. Economic and Social Commission for Asia and the Pacific, World Fertility Survey, and International Institute for Population Studies. Regional Workshop on Techniques of Analysis of World Fertility Survey data: report and selected papers. New York, UN, 1979. 15-36. (Asian Population Studies Series No. 44)

    The World Fertility Survey provides data from national maternity history inquiries. Detecting trends and differentials is only as accurate as the data collected. Where evidence suggests error, the analysis may be restricted to obtaining only a measure of fertility level. The basic data is the date and order of birth of each live born child for a sample of women in the reproductive period, according to the current age of the women and their duration of marriage. The cohort marker is usually separated into 7 5-year classes determined by age at interview; sample of women is representative of the female population of childbearing age. Total births for each cohort are allocated to different periods preceding the survey date. Reading down the columns gives the births to different cohorts over different ranges in the same time interval preceding the survey. To detect omissions, check the overall sex ratio and the sex ratios by periods; examine the trends of infant mortality by cohorts and periods; an excess of male mortality over female indicates poor reporting of dead female children and/or of sex (a common omission). From data on age of mother and number of surviving children at the survey and estimates of mortality level, the numbers of births at preceding periods may be calculated.
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  4. 4
    261329

    Health aspects of family planning: report of a WHO Scientific Group.

    World Health Organization [WHO]

    World Health Organization, Technical Report Series.. 1970; 50.

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