2017
DOI: 10.3346/jkms.2017.32.3.386
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Educational Inequality in Obesity-Related Mortality in Korea

Abstract: The prevalence of obesity has been increasing worldwide, which raises concerns about the disease burden associated with obesity. Socioeconomic status (SES) has been suggested to be associated with obesity and obesity related diseases. This study aimed to evaluate the time trend in socioeconomic inequality in obesity-related mortality over the last decade in Korean population. We evaluated the influence of education level, as an indicator of SES, on obesity-related mortality using death data from the Cause of D… Show more

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Cited by 7 publications
(6 citation statements)
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“…To date however, few studies have empirically examined the time trends in socioeconomic patterning of NCDs. In particular, existing studies have mostly focused on outcomes such as mortality [ 13 15 ], self-rated health [ 16 , 17 ] and fatal diseases like cancer [ 18 , 19 ] and cardiovascular diseases including stroke [ 20 ]. Yet the extent of and the trends in socioeconomic inequality with respect to nonfatal diseases, such as arthritis and asthma, despite being one of the leading contributors to Quality-Adjusted Life-years (QALYs) lost in Korea, have received relatively little attention [ 21 ].…”
Section: Introductionmentioning
confidence: 99%
“…To date however, few studies have empirically examined the time trends in socioeconomic patterning of NCDs. In particular, existing studies have mostly focused on outcomes such as mortality [ 13 15 ], self-rated health [ 16 , 17 ] and fatal diseases like cancer [ 18 , 19 ] and cardiovascular diseases including stroke [ 20 ]. Yet the extent of and the trends in socioeconomic inequality with respect to nonfatal diseases, such as arthritis and asthma, despite being one of the leading contributors to Quality-Adjusted Life-years (QALYs) lost in Korea, have received relatively little attention [ 21 ].…”
Section: Introductionmentioning
confidence: 99%
“…Thirty-four studies (71.0%) employed a compositional approach to measuring SEP. Of those 34 studies, 17 depended on a single parameter and classified SES level according to a continuous or dichotomous distribution or standardized categori-zation. In these studies, the principal indicators were traditional measures of education [12][13][14][15][16][17][18], household income [19][20][21], and occupation [22,23]. Some studies specified the SES level according to proxy measures such as type of health insurance or health-insurance premium levels, which are determined in proportion to one's comprehensive living status [24][25][26][27][28].…”
Section: Compositional Socioeconomic Position Measuresmentioning
confidence: 99%
“…Urbanized living environments and excessive nutritional intake have resulted in the recent increase of various metabolic diseases such as diabetes, hypertension, hyperlipidemia, and cardiovascular diseases [ 1 , 2 ]. After cancer, cerebrovascular disease and heart disease are the second and third most common causes of death in Korea [ 3 5 ].…”
Section: Introductionmentioning
confidence: 99%