Displaying publications 1 - 20 of 106 in total

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  1. Yusof K, Zulkifli SN
    Malays J Reprod Health, 1985;3(1):31-45.
    PMID: 12268887
    Matched MeSH terms: Population Characteristics*
  2. Zhu G
    Chin J Popul Sci, 1994;6(4):403-15.
    PMID: 12319210
    Matched MeSH terms: Population Characteristics*
  3. Ying SL
    J Southeast Asian Stud, 1992 Mar;23(1):112-32.
    PMID: 12286188
    Matched MeSH terms: Population Characteristics
  4. Xenos P, Kabamalan M, Westley SB
    PMID: 12349008
    Matched MeSH terms: Population Characteristics
  5. Fold N, Wangel A
    Third World Plann Rev, 1998 May;20(2):165-77.
    PMID: 12295215
    Matched MeSH terms: Population Characteristics
  6. Tin TT, Thida M, Maung MM, Wai KT
    Malays J Reprod Health, 1994 Jun;12(1):32-7.
    PMID: 12320337
    PIP: To identify the maternal risk factors associated with low birth weight in Malaysia, the records of the 2613 infants delivered at North Okkalapa General Hospital from January to September 1990 were reviewed. The incidence of low birth weight during the 9-month study period was 21.1%; 18.1% of these cases were attributable to intrauterine growth retardation and 3% were associated with preterm births. Univariate analysis identified the following risk factors as significant: age under 20 years (.001), parity 1 (.001), maternal height of 145 cm or under (.01), maternal cigarette smoking (.01), maternal education of 8 years or less (.001), parity 5 or above (.05), and maternal age of 35 years and above (.05). A last birth interval of 1 year or less and more than 3 years was associated with an odds ratio exceeding 1, but the correlation with low birth weight was not significant. These risk factors should be used to design maternal health programs aimed at reducing the incidence of low birth weight.
    Matched MeSH terms: Population Characteristics
  7. United States. Department of State. Bureau of Public Affairs
    Backgr Notes Ser, 1985 Apr.
    PMID: 12178106
    Matched MeSH terms: Population Characteristics*
  8. United Nations. Economic and Social Commission for Asia and the Pacific ESCAP. Secretariat
    Econ Bull Asia Pac, 1985 Dec;36(2):56-80.
    PMID: 12280574
    Fertility differentials between rural and urban populations are investigated using World Fertility Survey data for Bangladesh, Fiji, Indonesia, Malaysia, Nepal, Pakistan, the Philippines, the Republic of Korea, Sri Lanka, and Thailand. "The fertility measure used in this analysis is the number of children ever born to a woman. An attempt is made first to establish the differential in fertility levels between urban and rural areas after necessary control of the demographic factors..., and then the possible explanation of the differential is sought in terms of socio-economic variables such as education of the respondent, and occupation, work pattern, work status and place of work of the respondent as well as that of the husband." Data concerning the fertility differentials and the associated explanatory variables are presented in tables and charts. "The results tend to show that the countries of Asia are undergoing similar patterns of fertility transition as was experienced in the advanced countries. Perhaps one can graduate the countries in the transition scale as follows: Bangladesh, Indonesia, Nepal, Pakistan and Malaysia are in the initial stage; Fiji, the Philippines, the Republic of Korea, Sri Lanka and Thailand are in the middle stage of transition."
    Matched MeSH terms: Population Characteristics
  9. United Nations. Economic and Social Commission for Asia and the Pacific ESCAP. Population Division. Fertility and Family Planning Section
    PMID: 12314064
    Matched MeSH terms: Population Characteristics*
  10. United Nations. Economic and Social Commission for Asia and the Pacific ESCAP. Population Division. Fertility and Family Planning Section
    Popul Res Leads, 1985;?(21):1-31.
    PMID: 12340713
    PIP:
    This paper presents data on contraceptive prevalence from 26 national sample surveys conducted in the Asian and Pacific region during the 1966-84 period. The basic data presented are: contraceptive prevalence rates, cross-classified by age where possible; the percentage of couples using each contraceptive method, also cross-classified by age where possible. To facilitate comparison between countries and across time, the data are presented in a standardized form, both numerically and graphically. Contraceptive prevalence rates range from 1-85% (the highest and lowest ever reported). In the Asian and Pacific region as a whole, the prevalence rate was around 40%, which was about the same level as in the Latin American region. In Africa the prevalence rate was around 12%, and in developed countries around 70%. In the late 1960s, prevalence rates in the Asian and Pacific region were less than 20%. By the early 1980s, contraception had spread throughout all parts of society so that the rates in many countries were over 50%, and in some over 60%. Most of the countries with high prevalence rates were in East and Southeast Asia, and most of those with low prevalence in South Asia. Displayed graphically with the age of wife (from 15-49 years) on the x axis, contraceptive prevalence rates appear as an inverted U, low at both ends of the age range and high in the middle. Curves skewed to the left generally have stronger effects on fertility than those skewed to the right. This is due to the fact that most births occur among younger couples and contraception used by younger couples prevents more births than contraception used by older couples. The curves of countries relying primarily on sterilization are generally skewed to the right. The data show a wide variation in the mix of contraceptives used in each country. The use of various contraceptives by age is similar throughout the region. Young couples generally use oral contraceptives (OCs), those in the middle of the reproductive ages the IUD, and those near the end of the childbearing ages sterilization. Rhythm and withdrawal methods appear to be preferred both by couples in the youngest and oldest age groups. Contraceptive needs change as couples progress through the life cycle. Consequently, family planning programs must work to provide a broad mix of contraceptives. The tables show that Thailand and the Republic of Korea, 2 countries which are thought to have excellent family planning programs, have provided well-balanced mixes of contraceptives. Other countries in the region have depended on only 1 or 2 methods.
    Matched MeSH terms: Population Characteristics
  11. Tsubouchi Y
    Tonan Ajia Kenkyu, 1993 Jun;31(1):3-17.
    PMID: 12157851
    The author describes changes in the size and characteristics of multiple-household compounds in Kelantan, Malaysia, during the period 1971-1991. It is found that "in Malay villages, multihouseholdcompounds were in earlier times...based on a bilateral residence rule in which one or more children, either male or female, would stay in the compound of their parents....A recent trend has been for more females to remain in the parental compound than males, reflecting the orientation toward independence among the males." (SUMMARY IN ENG)
    Matched MeSH terms: Population Characteristics
  12. Tsubouchi Y
    Tonan Ajia Kenkyu, 1987 Dec;25(3):164-75.
    PMID: 12157843
    The author examines migration trends in Malay villages. "This report deals with the case of Galok, a settlement opened in the last decade of nineteenth century about 40 kilometers up the Kelantan River, based on field data collected in 1970/71 and 1984." The low rate of population growth due to migration is analyzed, with a focus on the impact of rural-urban migration and changes in household composition. (SUMMARY IN ENG)
    Matched MeSH terms: Population Characteristics
  13. Tinker H
    Dev Dig, 1979 Oct;17(4):116-24.
    PMID: 12336016
    Matched MeSH terms: Population Characteristics
  14. Arshat H, Tan Boon Ann, Tey Nai Peng
    Malays J Reprod Health, 1985 Dec;3(2):115-25.
    PMID: 12314738
    Matched MeSH terms: Population Characteristics
  15. Arshat H, Tey Nai Peng
    Malays J Reprod Health, 1988 Jun;6(1):23-46.
    PMID: 12281592
    Matched MeSH terms: Population Characteristics*
  16. Teo P
    GeoJournal, 1991 Feb;23(2):125-33.
    PMID: 12317879
    Matched MeSH terms: Population Characteristics
  17. Teo Cheok Chin P
    Tijdschr Econ Soc Geogr, 1989;80(5):284-301.
    PMID: 12157771
    Matched MeSH terms: Population Characteristics
  18. Taniguchi H
    JOICFP News, 1985 Nov;?(137):1-5.
    PMID: 12280293
    PIP: Resolutions adopted by the 12th Annual Asian Parasite Control/Family Planning (APCO/FP) Conference held in Colombo, Sri Lanka urge the incorporation of quality of life issues of all dimensions in projects of all participating countries. 1 study discussed during the conference concerned health volunteers of the integrated project in Sri Lanka, which analyzes motivating factors which make community young people work on a voluntary basis. Another topic covered was the role of women in the achievement of primary health care. Video reports were presented by Bangladesh on family planning and parasite control activities, Brazil on utilization of existing organizations to improve successful integrated projects, China on making twin concerns of family planning and primary health care, Indonesia on strengthening urban FP/MCH clinics, Korea on health promotion through the integrated project, Malaysia on the NADI program, the Philippines on the Cebu model of integrated health care, and Thailand on fee charging urban programs.
    Matched MeSH terms: Population Characteristics
  19. Jones GW, Tan PC
    J Southeast Asian Stud, 1985 Sep;16(2):262-80.
    PMID: 12267554
    Matched MeSH terms: Population Characteristics
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