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  1. Touraine M, Gröhe H, Coffie RG, Sathasivam S, Juan M, Louardi el H, et al.
    Lancet, 2014 Sep 27;384(9949):1161-2.
    PMID: 25242037 DOI: 10.1016/S0140-6736(14)61419-7
    Matched MeSH terms: Poverty/trends
  2. Wang J, Jamison DT, Bos E, Vu MT
    Trop Med Int Health, 1997 Oct;2(10):1001-10.
    PMID: 9357491
    This paper analyses the effect of income and education on life expectancy and mortality rates among the elderly in 33 countries for the period 1960-92 and assesses how that relationship has changed over time as a result of technical progress. Our outcome variables are life expectancy at age 60 and the probability of dying between age 60 and age 80 for both males and females. The data are from vital-registration based life tables published by national statistical offices for several years during this period. We estimate regressions with determinants that include GDP per capita (adjusted for purchasing power), education and time (as a proxy for technical progress). As the available measure of education failed to account for variation in life expectancy or mortality at age 60, our reported analyses focus on a simplified model with only income and time as predictors. The results indicate that, controlling for income, mortality rates among the elderly have declined considerably over the past three decades. We also find that poverty (as measured by low average income levels) explains some of the variation in both life expectancy at age 60 and mortality rates among the elderly across the countries in the sample. The explained amount of variation is more substantial for females than for males. While poverty does adversely affect mortality rates among the elderly (and the strength of this effect is estimated to be increasing over time), technical progress appears far more important in the period following 1960. Predicted female life expectancy (at age 60) in 1960 at the mean income level in 1960 was, for example 18.8 years; income growth to 1992 increased this by an estimated 0.7 years, whereas technical progress increased it by 2.0 years. We then use the estimated regression results to compare country performance on life expectancy of the elderly, controlling for levels of poverty (or income), and to assess how performance has varied over time. High performing countries, on female life expectancy at age 60, for the period around 1990, included Chile (1.0 years longer life expectancy), China (1.7 years longer), France (2.0 years longer), Japan (1.9 years longer), and Switzerland (1.3 years longer). Poorly performing countries included Denmark (1.1 years shorter life expectancy than predicted from income), Hungary (1.4 years shorter), Iceland (1.2 years shorter), Malaysia (1.6 years shorter), and Trinidad and Tobago (3.9 years shorter). Chile and Switzerland registered major improvements in relative performance over this period; Norway, Taiwan and the USA, in contrast showed major declines in performance between 1980 and the early 1990s.
    Matched MeSH terms: Poverty/trends
  3. Mat Bah MN, Sapian MH, Jamil MT, Abdullah N, Alias EY, Zahari N
    Congenit Heart Dis, 2018 Nov;13(6):1012-1027.
    PMID: 30289622 DOI: 10.1111/chd.12672
    OBJECTIVES: There is limited data on congenital heart disease (CHD) from the lower- and middle-income country. We aim to study the epidemiology of CHD with the specific objective to estimate the birth prevalence, severity, and its trend over time.

    DESIGN: A population-based study with data retrieved from the Pediatric Cardiology Clinical Information System, a clinical registry of acquired and congenital heart disease for children.

    SETTING: State of Johor, Malaysia.

    PATIENTS: All children (0-12 years of age) born in the state of Johor between January 2006 and December 2015.

    INTERVENTION: None.

    OUTCOME MEASURE: The birth prevalence, severity, and temporal trend over time.

    RESULTS: There were 531,904 live births during the study period with 3557 new cases of CHD detected. Therefore, the birth prevalence of CHD was 6.7 per 1000 live births (LB) (95% confidence interval [CI]: 6.5-6.9). Of these, 38% were severe, 15% moderate, and 47% mild lesions. Hence, the birth prevalence of mild, moderate, and severe CHD was 3.2 (95% CI: 3.0-3.3), 0.9 (95% CI: 0.9- 1.1), and 2.6 (95% CI: 2.4-2.7) per 1000 LB, respectively. There was a significant increase in the birth prevalence of CHD, from 5.1/1000 LB in 2006 to 7.8/1000 LB in 2015 (P 
    Matched MeSH terms: Poverty/trends*
  4. Khor GL
    PMID: 1342754
    Kuala Lumpur is the capital city of Malaysia with an estimated population of 1.55 million. Approximately 12% of the population live in squatter settlements occupying about 7% of the city total area. The squatter settlements generally are provided with basic amenities such as piped water, toilet facilities and electricity. Health indicators for the overall population of Kuala Lumpur are better off than for the rest of the country; however, intra-city differentials prevail along ethnic and socio-economic lines. Malays and Indians have higher rates for stillbirths, and neonatal, infant and toddler mortality than the Chinese. The wide disparity in the socio-economic status between the advantaged and the poor groups in the city is reflected in the dietary practices and nutritional status of young children from these communities. The percentage of preschool children from urban poor households with inadequate intakes of calories and nutrients is two to three times higher than those from the advantaged group. Compared to rural infants, a lower percentage of urban infants are breastfed. A lower percentage of Malays from the urban advantaged group breastfed, compared with the urban poor group. The reversed trend is found for the Chinese community. Growth attainment of young children from the urban poor is worse than the urban advantaged, though better than the rural poor. Health and nutritional practices implications related to both undernutrition and overnutrition are discussed, to illustrate the twin challenges of malnutrition in the city.
    Matched MeSH terms: Poverty/trends
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