Bich Na Jang

Ms. Bich Na Jang

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2020 in PLOS ONE
Verified
Journal Article
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BJBich Na Jang
Bich Na Jang
FNFatima Nari
Fatima Nari
SKSelin Kim
Selin Kim
Eun-Cheol ParkEun-Cheol Park
Eun-Cheol Park
Diabetes is a progressive disease, and thus, it is important to prevent diabetes at the prediabetes stage. Although the loss of muscle strength and prediabetes are associated, few studies have examined relative handgrip strength (RHGS), which can be an indicator of both muscle strength and adiposity. Therefore, our study aimed to examine the association between RHGS and prediabetes (HbA1c level >5.7%) stratified by sex due to sex differences in strength. We analyzed data from the 2016–2018 Korean National Health and Nutrition Examination Survey. Prediabetes was defined using the HbA1c cut-off level of 5.7–6.4%, identified by the American Diabetes Association. RHGS was calculated as the maximal absolute handgrip strength of both hands divided by body mass index and was divided into sex-specific quartiles. Multiple logistic regression analysis was performed to determine the association between sex-specific RHGS and prediabetes. Among the total participants, 13,384 did not have diabetes. In men, the low and mid-low RHGS groups had increased odds of prediabetes (low group, odds ratio [OR]: 1.42, 95% confidence interval [CI]: 1.10–1.82; mid-low group, OR: 1.32, 95% CI: 1.04–1.67). However, no significant differences were observed between the corresponding female groups. Moreover, central obesity and lower RHGS were strongly associated with prediabetes in men (low group, OR: 2.40, 95% CI: 1.52–3.80; mid-low group, OR: 2.00, 95% CI: 1.26–3.17; mid-high group, OR: 1.76, 95% CI: 1.11–2.81), and a trend was observed (p = 0.0026). RHGS could be a practical and inexpensive tool for predicting diabetes in men. Programs aimed at preventing diabetes need to include exercise routines for improving muscle strength, and further research through longitudinal studies is required to investigate the causality of RHGS on the risk of prediabetes.

SJSung Hoon Jeong
Sung Hoon Jeong
BJBich Na Jang
Bich Na Jang
SKSeung Hoon Kim
Seung Hoon Kim
Sung-In JangSung-In Jang
Sung-In Jang
Eun-Cheol ParkEun-Cheol Park
Eun-Cheol Park
Electronic cigarette vaping has recently been chosen as a smoking alternative for those who want to quit smoking, but some of the electronic cigarette users use both traditional and electronic cigarettes (dual smoking) without stopping smoking. This study investigated the association between smoking behavior and metabolic syndrome among Korean adults. Data from 14,607 participants (6142 males and 8465 females) were examined. They were divided into four categories: dual smoking (both conventional and e-cigarettes), single smoking (only conventional cigarettes), previously smoking, and non-smoking. Metabolic syndrome risk was calculated as a continuous variable using the lipid accumulation product (LAP) index. Multiple linear regression analyses were performed to examine the association of log-transformed LAP with smoking behavior. Among the total participants, 187 males and 35 females were dual smokers and 1850 males and 372 females were single smokers. LAP was significantly higher in male who practiced dual and single smoking than LAP of non-smokers—dual: β = 0.27, standard error (SE) = 0.06, p < 0.0001; single: β = 0.18, SE = 0.03, p < 0.0001. In female, LAP was significantly higher among those who practiced only single smoking than LAP of non-smokers (β = 0.21, SE = 0.04, p < 0.0001). Dual and single smoking were significantly associated with higher LAP, a strong predictor of metabolic syndrome. Further studies and awareness regarding the adverse effects of dual smoking are required.

FNFatima Nari
Fatima Nari
BJBich Na Jang
Bich Na Jang
GKGyu Ri Kim
Gyu Ri Kim
Eun-Cheol ParkEun-Cheol Park
Eun-Cheol Park
Sung-In JangSung-In Jang
Sung-In Jang
Background: It remains unclear which anthropometric measure best predicts elevated high-sensitivity C-reactive protein (hs-CRP) levels. This study investigated the association and synergistic interaction of two obesity indices with elevated hs-CRP levels in a national sample of Korean adults, stratified by sex. Methods: The present cross-sectional study used data from the 2015–2018 Korea National Health and Nutrition Examination Survey of 18,610 subjects aged ≥20 years after excluding those with missing variables. Multiple logistic regression analyses and chi-squared tests were performed to investigate the association between body mass index (BMI) and waist circumference (WC) with elevated hs-CRP levels. Interaction analysis was used to examine the synergistic effect between BMI and WC on the risk of having elevated hs-CRP levels. Results: Elevated hs-CRP levels exceeding 3 mg/L were present in 9.3% and 7.5% of men and women, respectively. The relationship between each obesity index and elevated hs-CRP levels was significant in women (high WC (odds ratio [OR] = 1.77, 95% confidence interval [CI] = 1.24–2.54), high BMI (OR = 2.08, 95% CI = 1.58–2.74)) but not in men (high WC (OR = 1.19, 95% CI = 0.86–1.64), high BMI (OR = 0.99, 95% CI = 0.77–1.29)). Furthermore, combined measures of the two obesity indices and interaction analysis results revealed a synergistic association in men (OR = 1.57, 95% CI = 1.33–1.85; relative excess risk due to interaction (RERI) = 0.39, 95% CI = −0.09–0.86), and women (OR = 3.70, 95% CI = 3.09–4.43; RERI = 0.85, 95% CI = −0.06–1.75). Conclusion: BMI and WC were significantly associated with a risk of elevated hs-CRP levels in women but not in men. Nevertheless, significant synergistic interactions were seen in combined measures of BMI and WC, regardless of sex. These findings emphasize the need to use both measures of adiposity concurrently in the assessment of obesity and when identifying cardiovascular risk.

30 June 2021 in BMJ Open
Verified
Journal Article
Open access
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BJBich Na Jang
Bich Na Jang
HYHin Moi Youn
Hin Moi Youn
DLDoo Woong Lee
Doo Woong Lee
JJJae Hong Joo
Jae Hong Joo
Eun-Cheol ParkEun-Cheol Park
Eun-Cheol Park
Objectives This study aimed to determine the association between community deprivation and poor health behaviours among South Korean adults. Design This was a survey-based cross-sectional study. Setting and participants Data of 224 552 participants from 244 communities were collected from the Korea Community Health Survey, conducted in 2015. Primary and secondary outcome measures We defined health behaviours by combining three variables: not smoking, not high-risk drinking and walking frequently. Community deprivation was classified into social and economic deprivation. Results Multilevel logistic analysis was conducted to determine the association of poor health behaviours through a hierarchical model (individual and community) for the 224 552 participants. Among them, 69.9% did not practice healthy behaviours. We found that a higher level of deprivation index was significantly associated with higher odds of not-practising healthy behaviours (Q3, OR: 1.15, 95% CI: 1.00 to 1.31; Q4 (highest), OR: 1.22, 95% CI: 1.06 to 1.39). Economic deprivation had a positive association with not-practising health behaviours while social deprivation had a negative association. Conclusion These findings imply that community deprivation levels may influence individual health behaviours. Accordingly, there is a need for enforcing the role of primary healthcare centres in encouraging a healthy lifestyle among the residents in their communities, developing national health policy guidelines for health equity and providing financial help to people experiencing community deprivation.

BJBich Na Jang
Bich Na Jang
WJWonjeong Jeong
Wonjeong Jeong
SKSoo Hyun Kang
Soo Hyun Kang
Sung-In JangSung-In Jang
Sung-In Jang
The incidence of depression among adolescents has gradually increased, leading to adult psychological outcomes and suicide. Although the rate of secondhand smoke exposure (SHSE) has recently decreased, SHSE remains high in children. We aimed to determine the association between depressive symptoms in adolescents and the locations of SHSE using an extensive population survey. Using data from the 14th Korea Youth Risk Behavior Web-based Survey, we assessed self-reported data of depressive symptoms and SHSE among non-smokers. SHSE locations were classified into four groups: only at school, only at home, at both school and home, and other places. Multiple logistic regression analysis was performed to identify the associations between SHSE locations and depressive symptoms. The relationship between SHSE and depressive symptoms was the highest in the “SHSE at home and school” group (boys: odds ratio [OR] = 1.61, 95% confidence interval [CI] = 1.44–1.80; girls: OR = 1.72, 95% CI = 1.54–1.91), followed by the “school” (boys: OR = 1.53, 95% CI = 1.39–1.67; girls: OR = 1.36, 95% CI = 1.25–1.48) and “home” groups (boys: OR = 1.23, 95% CI = 1.12–1.35; girls: OR = 1.30, 95% CI = 1.20–1.40). These results emphasize the importance of stricter smoking regulations not only in public places, but also in households. Adolescents and their families should be educated on the dangers of smoking and the effects of SHSE on mental health.

BJBich Na Jang
Bich Na Jang
HKHwijun Kim
Hwijun Kim
BKBo-Ram Kim
Bo-Ram Kim
SWSeonyeong Woo
Seonyeong Woo
WLWoo-Jin Lee
Woo-Jin Lee
Eun-Cheol ParkEun-Cheol Park
Eun-Cheol Park
With the growing prevalence of chronic diseases, the proportion of unmet needs is increasing. In this study, we investigated the effect of practicing health behaviors on unmet needs among patients with chronic diseases, using data from the Korea Health Panel Survey conducted between 2014–2017. Participants (n = 4069) aged 19 or older, with at least one chronic disease (hypertension, diabetes mellitus, dyslipidemia, or arthrosis) and with existing follow up data were selected. Health behaviors combined three variables: not presently smoking, not belonging to high-risk drinking group, and indulging in moderate- or high-intensity exercise. Those who met all three criteria were classified as the practicing health behaviors group. Generalized Estimating Equation analysis was performed to consider correlated data within a subject. Of the participants, 23.9% practiced health behaviors. Participants who did not practice health behaviors were significantly more likely to have unmet needs compared with those who did (OR: 1.24, 95% CI: 1.10–1.39). Further research would be needed to verify the impact of practicing health behavior on unmet needs.