Relationship Between BMI, Body image, and Smoking in Korean Women as Determined by Urine Cotinine: Results of a Nationwide Survey

Jang, So Young; Kim, Jin Hyeong; Lim, Min Kyung; Kim, Hee Jin; Jee, Sun Ha; Namkoong, Kee; Cho, Woo Hyun; Park, Sohee; Kim, Tae Hyun

doi:10.7314/apjcp.2012.13.3.1003

Cited by 10 publications

(9 citation statements)

References 33 publications

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“…First, engagement in unhealthy behaviors such as smoking has been positively associated with delay discounting ( Story, Vlaev, Seymour, Darzi, & Dolan, 2014 ). Moreover, abstinence from smoking has shown to promote healthy behaviors such as having adequate dietary habits and taking exercise ( Jang et al, 2012 , Nagaya et al, 2007 ). Thus, the execution of these healthy behaviors associated with smoking abstinence might result in delay discounting decreases ( Bickel et al, 1999 , Secades-Villa et al, 2014 ).…”

Section: Discussionmentioning

confidence: 99%

Delay discounting in e-cigarette users, current and former smokers

Weidberg

González‐Roz

Secades‐Villa

2017

International Journal of Clinical and Health Psychology

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Background/Objective: Despite the fact that electronic cigarettes, or e-cigarettes, are being increasingly used as an alternative to smoking tobacco cigarettes, few studies have explored psychological factors associated with e-cigarette use. Prior studies aimed at exploring correlates of e-cigarette use have focused on sociodemographic and smoking-related characteristics. However, no previous work has examined psychological features such as impulsivity among e-cigarettes users. The main objective of this study was to compare impulsivity rates across four groups of participants: current e-cigarette users who were former smokers; current smokers; former smokers; and controls. Method: A sample of 136 participants completed a computerized delay discounting task for hypothetical monetary values. Results: Delay discounting was greater among e-cigarette users than former smokers. E-cigarette users also showed an intermediate discounting that did not differ from smokers and controls. Moreover, delay discounting was significantly greater among current smokers compared to former smokers and controls. Conclusions: Taken together, our results extend previous research on delay discounting by providing evidence on impulsivity levels among current e-cigarette users for the first time.

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Section: Discussionmentioning

confidence: 99%

Delay discounting in e-cigarette users, current and former smokers

Weidberg

González‐Roz

Secades‐Villa

2017

International Journal of Clinical and Health Psychology

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“…Using this method, past studies have revealed startling levels of underreporting in Korean females relative to males (Jung-Choi et al, 2012). And previous research has characterized the relationship between marital status, BMI, body image, and smoking in Korean women (Cho et al, 2008;Jang et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Biochemically-verified Smoking Rate Trends and Factors Associated with Inaccurate Self-reporting of Smoking Habits in Korean Women

Kang¹,

Kwon²,

Lee³

et al. 2013

Asian Pacific Journal of Cancer Prevention

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Background: Lung cancer is a major cause of Korean female mortality and is clearly associated with smoking. The Korean National Health and Nutrition Examination Survey (KNHANES IV-2,3), which included both self-reports of smoking and urinary cotinine data, revealed a significant discrepancy between the prevalence of self-reported and biochemically-verified female smokers. The factors associated with accurate self-reporting of current smoking status remain poorly understood, however. Materials and Methods: We assessed the prevalence of smoking in KNHANES using both self-report and urinary cotinine data. Subsequently, using univariate and multivariate tests, we assessed whether age, intensity of smoking, marital status, relationship with cohabitants, education, occupation, residential area, or annual household income were associated with inaccurate selfreporting in Korean females. We also investigated whether the prevalence of inaccurate self-reports changed over the survey period

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“…Smoking rates for expectant mothers who were categorized as either underweight or overweight were higher than those of expectant mothers who were categorized as being of normal weight. In previous studies conducted in Japan and Korea, underweight women were more likely to smoke during pregnancy [ 24 , 25 ]. In addition, the proportion of overweight women classified as nonsmokers during the third trimester of pregnancy was lower than that of women of normal weight; however, the current smoking rate during early pregnancy was higher in overweight women relative to that of women of normal weight [ 24 ].…”

Section: Discussionmentioning

confidence: 99%

“…Because there are numerous chemicals in cigarette smoke, the findings of this animal study could support our results from a biological perspective. Furthermore, women who subjectively perceived themselves as thin or fat were more likely to smoke [ 25 ], and weight concern was a major risk factor for smoking relapse after pregnancy [ 32 ]. Because maternal body dissatisfaction can influence their female children [ 33 ], it is possible that smoking mothers, particularly those who were underweight or overweight, influenced the weight of their children.…”

Section: Discussionmentioning

confidence: 99%

“…With respect to the association between maternal body composition and smoking, rates of smoking during pregnancy have been found to be higher in underweight women, relative to other women, in previous studies conducted in Japan and Korea [ 24 , 25 ]. Furthermore, because postpartum smoking relapse has been associated with weight concern [ 26 ], maternal smoking during pregnancy could also be associated with maternal weight status.…”

Section: Introductionmentioning

confidence: 99%

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Childhood Growth Trajectories According to Combinations of Pregestational Weight Status and Maternal Smoking during Pregnancy: A Multilevel Analysis

et al. 2015

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Pregestational weight status and maternal smoking during pregnancy are significantly associated with fetal and childhood growth. However, few studies have examined associations between childhood growth and combinations of these factors using multilevel analysis. This study aimed to describe differences in childhood growth trajectories according to these combinations, using data from a prospective cohort study in Japan. The study participants were 1,973 women and their singletons, who were born between April 1, 1991 and March 31, 2003. Children were categorized according to whether they were born to normal-weight, nonsmoking mothers (NN); normal-weight, smoking mothers (NS); underweight, nonsmoking mothers (UN); underweight, smoking mothers (US); overweight, nonsmoking mothers (ON); or overweight, smoking mothers (OS). Birth weight and anthropometric data were collected from 1,965 children at birth (99.6%), 1,655 aged 3 (83.9%), 1,527 aged 5 (77.4%), 1,497 aged 7–8 (75.9%), and 1,501 aged 9–10 (76.1%). Multilevel analysis examining both individual and age as different level variables according to sex was used to describe the trajectories of body mass index z scores for statistical analyses. Although children of the OS group were the leanest at birth, their body mass indices had increased rapidly by 3 years of age. Moreover, body mass index was also likely to increase in boys in the NS and ON groups. A different trend was observed in girls. Body mass index decreased from 5 years of age in girls in the US group. There were no remarkable differences in body mass index trajectories between children in the other groups. In conclusion, childhood growth trajectories differed according to combinations of pregestational weight status and maternal smoking during pregnancy. Further, there were sex-related differences in the associations between childhood growth and factor combinations.

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Relationship Between BMI, Body image, and Smoking in Korean Women as Determined by Urine Cotinine: Results of a Nationwide Survey

Cited by 10 publications

References 33 publications

Delay discounting in e-cigarette users, current and former smokers

Delay discounting in e-cigarette users, current and former smokers

Biochemically-verified Smoking Rate Trends and Factors Associated with Inaccurate Self-reporting of Smoking Habits in Korean Women

Childhood Growth Trajectories According to Combinations of Pregestational Weight Status and Maternal Smoking during Pregnancy: A Multilevel Analysis

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