Methods: Cross-sectional data from 62 developing countries were used to run several multivariate linear regressions. R2 was used to compare the powers of MPI with income-poverties (income poverty gaps [IPG] at 1.9 and 3.1 USD) in explaining LE.
Results: Adjusting for controls, both MPI (β =-0.245, P<0.001) and IPG at 3.1 USD (β=-0.135, P=0.044) significantly correlates with LE, but not IPG at 1.9 USD (β=-0.147, P=0.135). MPI explains 12.1% of the variation in LE compared to only 3.2% explained by IPG at 3.1 USD. The effect of MPI on LE is higher on female (β=-0.210, P<0.001) than male (β=-0.177, P<0.001). The relative influence of the deprivation indictors on LE ranks as follows (most to least): Asset ownership, drinking water, cooking fuel, flooring, child school attendance, years of schooling, nutrition, mortality, improved sanitation, and electricity.
Conclusion: Interventions to reduce poverty and improve LE should be guided by MPI, not income poverty indices. Such policies should be female-oriented and prioritized based on the relative influence of the various poverty deprivation indicators on LE.
Methods: This observational study employs secondary data from various official sources of 12 states and one federal territory in Malaysia (2002-2014). Panel data of 78 observations (13 cross-sections at six points in time) were used in multivariate, fixed-effect, regressions to estimate the effects of socioeconomic variables on life expectancy at birth for male, female and both-gender.
Results: Poverty and income significantly determine female, male, and total life expectancies. Unemployment significantly determines female and total life expectancies, but not male. Income inequality and public spending on health (as a percentage of total health spending) do not significantly determine life expectancy. The coefficients of the multivariate regressions suggest that a 1% reduction in poverty, 1% reduction in unemployment, and around USD 23.20 increase in household monthly income prolong total life expectancy at birth by 17.9, 72.0, and 16.3 d, respectively. The magnitudes of the effects of the socioeconomic variables on life expectancy vary somewhat by gender.
Conclusion: Life expectancy in Malaysia is higher than the world average and higher than that in some developing countries in the region. However, it is far lower than the advanced world. Reducing poverty and unemployment and increasing income are three effective channels to enhance longevity.
MATERIALS AND METHODS: We used self-administered questionnaires to investigate the attitude of 382 health care professionals from the University of Malaya Medical Center between January and February 2014. The responses were analyzed using logistic regression.
RESULTS: Of the 382 respondents, 175 (45.8%) stated that they would officially object to organ donation if the presumed consent system were to be implemented, whereas the remaining 207 (54.2%) stated that they would not object. The logistic regression showed that health care professionals from the Malay ethnic group were more likely to object than those from Chinese (adjusted odds ratio of 0.342; P = .001) and Indian and other (adjusted odds ratio of 0.341; P = .003) ethnic groups. Health care professionals earning 3000 Malaysian Ringgit or below were more likely to object than those earning above 3000 Malaysian Ringgit (adjusted odds ratio of 1.919; P = .006). Moreover, respondents who were initially unwilling to donate organs, regardless of the donation system, were more likely to object under the presumed consent system than those who were initially willing to donate (adjusted odds ratio of 2.765; P < .001).
CONCLUSIONS: Health care professionals in Malaysia have a relatively negative attitude toward the presumed consent system, which does not encourage the implementation of this system in the country at present. To pave the way for a successful implementation of the presumed consent system, efforts should be initiated to enhance the attitude of health care professionals toward this system. In particular, these efforts should at most target the health care professionals who are Malay, earn a low income, and have a negative default attitude toward deceased donation.
MATERIALS AND METHODS: We utilize cross sectional data on 350 family members of dialysis patients collected through self-administered survey from June to October 2013. The factors affecting willingness to become deceased and living organ donors among respondents were identified by running logistic regressions.
RESULTS: The findings reveal that ethnicity, education and role in family are significant factors explaining willingness for living donation, while ethnicity, knowledge of organ donation and donor age drive willingness for deceased donation. We also find that the reasons of respondents being unwilling to donate center on the lack of information and family objections for deceased donation, while being medically unfit, scared of surgery and family objections are the reasons for unwillingness to donate living organs.
CONCLUSION: In light of our findings, educational efforts are suggested to decrease the reluctance to become involved in living and deceased donation.