Factors influencing gender differences in smoking and their separate contributions: Evidence from South Korea

Chung, Woojin; Lim, Seungji; Lee, Sun-Mi

doi:10.1016/j.socscimed.2010.02.025

Cited by 37 publications

(28 citation statements)

References 46 publications

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“…Women who experienced divorce, separation, and death of spouse might get distressed by financial burden and the responsibility of rearing children by themselves, which might increase smoking rate 20,21). Release from social control (telling or reminding someone to engage in certain health behaviors) and loss of social support (support when changing health behavior) from partners might increase the smoking rate further 22). Umberson23) reported that social control and social support have beneficial consequence for health behaviors among those individuals who remain married.…”

Section: Discussionmentioning

confidence: 99%

Marital Status and Health Behavior in Middle-aged Korean Adults

et al. 2012

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BackgroundMarital status is as an important sociodemographic variable for health studies. We assessed the association between marital status and health behavior in middle-aged Korean adults.MethodsThis is a cross-sectional study of 2,522 Korean middle-aged adults (1,049 men, 1,473 women) from the 2010 Korean National Health and Nutrition Examination Survey. The subjects were classified as living with a partner or living without a partner (never married, separated, widowed, and divorced). We assessed the relationship between marital status and five health behaviors (smoking, high-risk alcohol intake, regular exercise, regular breakfast consumption, and undergoing periodic health screening).ResultsAge, income level, educational level, and occupational classification were all significantly associated with marital status. The risk of undergoing health screening (odds ratio [OR], 0.53; 95% confidence interval [CI], 0.32 to 0.90) and having regular breakfast (OR, 0.50; 95% CI, 0.27 to 0.92) were significantly lower in men living without a partner than with a partner. Women living without a partner had a higher smoking risk (OR, 2.27; 95% CI, 1.09 to 4.73) and a higher risk of high-risk alcohol consumption (OR, 5.33; 95% CI, 1.65 to 17.24) than their counterparts.ConclusionKorean middle-aged adults living with partners are more likely to have healthier behavior than living without a partner. The association between marital status and health behaviors differed by sex.

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Section: Discussionmentioning

confidence: 99%

Marital Status and Health Behavior in Middle-aged Korean Adults

et al. 2012

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“…This methodology decomposes the observed group difference in outcome into two main components: the disparity associated with the differences in determinants and the disparity associated with the differential response by ethnic groups to those determinants. Several recent studies have applied this methodology to studying disparities in public health including gender differences in smoking (Chung, Lim, & Lee, 2010) and cross-country differences in obesity between the U.S. and Canada (Auld & Powell, 2006) and Spain and Italy (Font, Fabbri, & Gil, 2010). …”

Section: Methodsmentioning

confidence: 99%

Ethnic disparities in adolescent body mass index in the United States: The role of parental socioeconomic status and economic contextual factors

Powell

Wada

Krauss

et al. 2012

Social Science & Medicine

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This paper examined the importance of household and economic contextual factors as determinants of ethnic disparities in adolescent body mass index (BMI). Individual-level data from the National Longitudinal Survey of Youth 1997 for the years 1997 through 2000 were combined with economic contextual data on food prices, outlet density and median household income. The Oaxaca–Blinder decomposition method was used to examine the factors that could help explain ethnic disparities in BMI. Ethnic differences in household demographic, parental socioeconomic status (SES), and economic contextual factors explained the majority of the male black–white (63%), male Hispanic–white (78%) and female Hispanic–white (62%) BMI gaps but less than one-half of the female black–white BMI gap (44%). We found that adding the economic contextual factors increased the explained portion of the ethnic BMI gap for both female and male adolescents: the economic contextual factors explained 28% and 38% of the black–white and Hispanic–white BMI gaps for males and 13% and 8% of the black–white and Hispanic–white BMI gaps for females, respectively. Parental SES was more important in explaining the Hispanic–white BMI gap than the black–white BMI gap for both genders, whereas neighborhood economic contextual factors were more important in explaining the male BMI gap than the female BMI gap for both black–white and Hispanic–white ethnic disparities. A significantly large portion of the ethnic BMI gap, however, remained unexplained between black and white female adolescents.

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“…To avoid a well-known index number problem associated with Oaxaca-Blinder decomposition, we implement a widely used alternative proposed by Neumark [40], which uses the estimated coefficients from the pooled regression as the average estimated effects. Several recent studies applied this methodology to studying disparities in public health including gender differences in smoking [41], cross-country differences in obesity between the USA and Canada [42] and Spain and Italy [43], and racial/ethnic differences in BMI between black-white and Hispanic-white adolescents [9]. In addition to the results from the decomposition analysis, we present results from the pooled cross-sectional ordinary least squares (OLS) analyses by racial and ethnic subgroups.…”

Section: Empirical Modelsmentioning

confidence: 99%

Weight Misperceptions and Racial and Ethnic Disparities in Adolescent Female Body Mass Index

2012

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This paper investigated weight misperceptions as determinants of racial/ethnic disparities in body mass index (BMI) among adolescent females using data from the National Survey of Youth 1997. Compared to their white counterparts, higher proportions of black and Hispanic adolescent females underperceived their weight status; that is, they misperceived themselves to have lower weight status compared to their clinically defined weight status. Compared to their black counterparts, higher proportions of white and Hispanic adolescent females misperceived themselves to be heavier than their clinical weight status. Oaxaca-Blinder decomposition analysis showed that accounting for weight misperceptions, in addition to individual and contextual factors, increased the total explained portion of the black-white female BMI gap from 44.7% to 54.3% but only slightly increased the total explained portion of the Hispanic-white gap from 62.8% to 63.1%. Weight misperceptions explained 13.0% of the black-white female BMI gap and 3.3% of the Hispanic-white female BMI gap. The regression estimates showed that weight underperceptions were important determinants of adolescent female BMI, particularly among black and Hispanic adolescents. Education regarding identification and interpretation of weight status may play an important role to help reduce the incidence and racial disparity of female adolescent obesity.

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Factors influencing gender differences in smoking and their separate contributions: Evidence from South Korea

Cited by 37 publications

References 46 publications

Marital Status and Health Behavior in Middle-aged Korean Adults

Marital Status and Health Behavior in Middle-aged Korean Adults

Ethnic disparities in adolescent body mass index in the United States: The role of parental socioeconomic status and economic contextual factors

Weight Misperceptions and Racial and Ethnic Disparities in Adolescent Female Body Mass Index

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