Impact of Demographic Change, Socioeconomics, and Health Care Resources on Life Expectancy in Cambodia, Laos, and Myanmar

Chan, Moon Fai; Taylor, Beverley Joan

doi:10.1111/phn.12005

Cited by 7 publications

(21 citation statements)

References 28 publications

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“…Women living in this part of the country, especially in urban areas, are more likely to speak the official language of the country, to be better educated, and to be engaged in the labour market, all characteristics linked with declining fertility. These characteristics of central Myanmar, which also include nontraditional marriage patterns and socioeconomic development, have been suggested as the main drivers of fertility change (Jones 2007;Chan and Taylor 2013). Finally, a strong association between digital connectivity and fertility is also consistent with the fertility diffusion hypothesis argued by Watkins (1991) and empirically tested by Bongaarts and Watkins (1996).…”

Section: Discussionsupporting

confidence: 61%

The geography of changing fertility in Myanmar

Schuster¹,

Padmadas²,

Hinde³

2019

DemRes

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BACKGROUND Between 1983 and 2014, the total fertility rate in Myanmar declined from 4.7 to 2.3 children per woman. Previous analyses of fertility decline in the country suggest that the decline varied regionally, but the geography of the decline has not been formally assessed. METHODS Using data from the 1983 and 2014 censuses, we examine fertility trends and geospatial patterns in fertility decline in Myanmar during the intercensal period, and investigate the aggregate socioeconomic factors underlying fertility decline at subregional levels. RESULTS Between 1983 and 2014, fertility change at subregional level was characterised by a precipitous decline in fertility rates in the broad central valley areas and a much weaker decline in remote, peripheral areas. Regression analysis of the 2014 census data, adjusting for state/region level variances, reveals a strong negative correlation between fertility and access to modern communication technologies. District-level female education and road connectivity were also associated with fertility. CONCLUSIONS The geographical diversity in Myanmar's fertility transition has intensified over time, as fertility decline is concentrated in areas with greater development, higher socioeconomic status, and better connectivity to information networks.

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Section: Discussionsupporting

confidence: 61%

The geography of changing fertility in Myanmar

Schuster¹,

Padmadas²,

Hinde³

2019

DemRes

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“…Research results from D and abroad showed that social class, as the most decisive factor, affects health and life expectancy [ 6 ]. Therefore, there is a large gap between different social classes on health fairness and health services utilization.…”

Section: Introductionmentioning

confidence: 99%

Analysis of awareness of health knowledge among rural residents in Western China

et al. 2015

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BackgroundLifestyle diseases could be prevented and controlled by disseminating health knowledge. This study explored the health knowledge awareness and the impact factors of health knowledge awareness, and the way people received health knowledge in western China.MethodsWe undertook a cross-sectional survey in 8 counties, 24 townships and 72 villages from July 2011 to April 2012 in Inner Mongolia, Xinjiang, Chongqing and Qinghai in China. Collected data, which were publicly available, consisted of two parts, namely, socio-demographic information and the 1466 corresponding rural residents’ awareness and the approach of health knowledge. Analysis of Variance (ANOVA) was used to explore the impact factors of health knowledge awareness. Multiple linear regressions was then applied to examine the potential predictors of health knowledge awareness.ResultsFour predictors-age (negative factor), educational level (positive factor), distance from home to the nearest medical institution (negative factor) and annul disposable household income (negative factor) were in the final liner regression model (p < 0.05). The results showed that awareness of health knowledge associated with risk factors was the highest (58.85%). The highest awareness rate of health knowledge is the title “Whether secondhand smoke is harmful to myself” (69.78%) and the lowest title is “Whether eating with hepatitis B patients will be infected Hepatitis B” (21.69%). The main way to receive health knowledge was traditional way such as doctors (80.45%). About more than half of the residents received health knowledge through television, video, newspaper and magazines (65.78%), family members, neighbors (67.38%) and the village health bulletin boards (53.16%).ConclusionHealth knowledge awareness of rural residents was quite low and the way of receiving health knowledge was simple and traditional. One of the critical factors was education level. Direct results showed that lower income families always obtained higher health knowledge level than the rich families. The main way to receive health knowledge was traditional ways. In the process of health education, different means of education should be adopted for different groups so as to achieve ideal effect. Potential interventions may be different from education process which should be adapted to different income level families.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-015-1393-2) contains supplementary material, which is available to authorized users.

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“…Studies done by Chan 3 reported that IMR was negatively correlated to LE through health resources in Indonesia ( r = −0.60, P < .05), Philippines ( r = −0.71, P < .05), and Vietnam ( r = 0.70, P < .05). Meanwhile, Chan and Taylor 11 found a negative impact of IMR to LE in Cambodia ( r = −0.71, P < .05), Laos ( r = −0.84, P < .05), and Myanmar ( r = −0.73, P < .05).…”

Section: Review Findingsmentioning

confidence: 94%

“…There were four studies (#10-12, 45) that examined the impacts of vaccination on LE. Studies conducted by Chan, 3 Chan and Taylor, 11 and Chan and Devi 8 showed that there was a significant positive correlation between the percentage of people having vaccination and LE (P < . 43 reported that a decrease of 1% of the household air pollution level and ambient particulate matter pollution reduced 1.7 years (P < .05) and 0.9 (P < .05) years of LE in India.…”

Section: Health Resources Factorsmentioning

confidence: 95%

“…Saikia et al 10 compared LE with literate and illiterate per 100 adults and reported that LE is 3.50 (women) and 5.7 years (men) shorter for the illiterate group. Chan and Taylor 11 reported that LR has positive impacts on LE in 2 undeveloping countries: Cambodia ( r = 0.71, P < .05) and Myanmar ( r = −0.78, P < .05). Duque et al 1 reported that the IR among the elderly was directly negatively correlated to LE (β = −2.906, P = 0.019) but not significant ( r = −0.057, P = .165) was found by Samadder et al 12…”

Section: Review Findingsmentioning

confidence: 99%

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A Systematic Review of Sociodemographic, Macroeconomic, and Health Resources Factors on Life Expectancy

Wirayuda

Chan

2021

Asia Pac J Public Health

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Objective This review was aimed at systematically synthesizing and appraising the existing literature of sociodemographic, macroeconomic, and health resources factors on life expectancy. Methods A systematic literature search of English databases, that is, PubMed/MEDLINE were scrutinized for exploring sociodemographic, macroeconomic, and health resources factors on life expectancy. The literature search was conducted in January 2020, covering a total of 46 articles from 2004 to 2019 met the review criteria, which were fully discussed subsequently. Findings Among sociodemographic factors, infant mortality rate, literacy rate, education level, socioeconomic status, population growth, and gender inequality have a significant impact on life expectancy. Gross domestic product, Gini, income level, unemployment rate, and inflation rate are the main macroeconomic factors that significantly correlated with life expectancy. Among various health care resources, health care facilities, the number of the health care profession, public health expenditure, death rates, smoking rate, pollution, and vaccinations had a significant correlation with life expectancy. Conclusions The systematic review showed general conformity of different studies, with a significant association between life expectancy and factors comprising several sociodemographic, macroeconomic, and various health care variables. This review found that only one study examined factors affecting life expectancy in Arabic countries. More studies on this region to fill this research gap were highly recommended.

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Impact of Demographic Change, Socioeconomics, and Health Care Resources on Life Expectancy in Cambodia, Laos, and Myanmar

Cited by 7 publications

References 28 publications

The geography of changing fertility in Myanmar

The geography of changing fertility in Myanmar

Analysis of awareness of health knowledge among rural residents in Western China

A Systematic Review of Sociodemographic, Macroeconomic, and Health Resources Factors on Life Expectancy

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