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2 "Eunjeong Kim"
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Research Article
Effect of maternal job strain during pregnancy on infant neurodevelopment by gender at 6 and 12 months: Mothers and Children’s Environmental Health (MOCEH) study
Eunjeong Kim, HyeSook Park, Yun-Chul Hong, Mina Ha, Yangho Kim, Bo-Eun Lee, Eun-Hee Ha
Ann Occup Environ Med 2015;27:8.   Published online March 20, 2015
DOI: https://doi.org/10.1186/s40557-015-0059-y
AbstractAbstract PDFPubReaderePub
Objectives

Limited evidence is available regarding the association between prenatal job strain and infant neurodevelopment. Most studies used stress indicators other than job strain to explain the relationship between prenatal maternal stress and child development. The objective of this study was to investigate the association between maternal job strain during pregnancy and neurodevelopment in infancy.

Methods

Mothers and Children’s Environmental Health (MOCEH) study, an on-going prospective birth cohort study, has been conducted in South Korea since 2006. Job strain during pregnancy was measured using Korean version of Job Content Questionnaire (JCQ). Infant neurodevelopment was assessed using Korean Bayley Scale of Infant Development II (K-BSID-II) at 6 and 12 months of age. A total of 343 mother-child pairs that completed JCQ and K-BSID-II more than once were included. Mental Developmental Index (MDI) and Psychomotor Developmental Index (PDI) defined in the K-BSID-II were used as outcome variables.

Results

Compared to infants from mothers with low job strain, significant (p < 0.05) decreases in PDI were found in infants from mothers with active and passive job at 6 months of age. After stratification by infant sex, boys in the high strain group had a lower MDI score than boys in the low job strain group at 12 months. On the other hand, girls in the high strain and active groups had higher MDI scores than girls in the low job strain group at 12 months. PDI at 12 months also showed different results by sex. Boys in the high strain and passive job groups had lower PDI scores than boys in the low job strain group. However, such difference was not observed in girls.

Conclusions

The findings of this study suggest that prenatal job strain affects infant neurodevelopment in a gender-dependent manner.


Citations

Citations to this article as recorded by  
  • Association between prenatal maternal anxiety and/or stress and offspring's cognitive functioning: A meta‐analysis
    Garance Delagneau, E. Sabrina Twilhaar, Renee Testa, Sarit van Veen, Peter Anderson
    Child Development.2023; 94(3): 779.     CrossRef
  • Sex-differences in the effects of indoor air pollutants and household environment on preschool child cognitive development
    Ming-Lun Zou, Hsiao-Chun Huang, Yi-Hua Chen, Chuen-Bin Jiang, Chih-Da Wu, Shih-Chun Candice Lung, Ling-Chu Chien, Yu-Chun Lo, Hsing Jasmine Chao
    Science of The Total Environment.2023; 860: 160365.     CrossRef
  • Low Job Control and Racial Disparities in Breastfeeding
    Margaret D. Whitley, Annie Ro, BongKyoo Choi
    Journal of Occupational & Environmental Medicine.2022; 64(8): e482.     CrossRef
  • Neurodesarrollo humano: un proceso de cambio continuo de un sistema abierto y sensible al contexto
    Jorge Förster, Isabel López
    Revista Médica Clínica Las Condes.2022; 33(4): 338.     CrossRef
  • Maternal exposure to psychosocial job strain during pregnancy and behavioral problems in the 11-year-old children: a Danish cohort study
    Camilla Sandal Sejbaek, Janni Niclasen, Jens Peter E. Bonde, Petter Kristensen, Ann Dyreborg Larsen, Vivi Schlünssen, Karin Sørig Hougaard
    European Child & Adolescent Psychiatry.2021; 30(9): 1413.     CrossRef
  • Pregnancy and workplace accidents: The impact of stereotype threat
    Lindsey M. Lavaysse, Tahira M. Probst
    Work & Stress.2021; 35(1): 93.     CrossRef
  • Environmental pollutants affecting children's growth and development: Collective results from the MOCEH study, a multi-centric prospective birth cohort in Korea
    Surabhi Shah, Kyoung Sook Jeong, Hyesook Park, Yun-Chul Hong, Yangho Kim, Byungmi Kim, Namsoo Chang, Suejin Kim, Yeni Kim, Bung-Nyun Kim, Hojang Kwon, Sanghyuk Bae, Hwan-Cheol Kim, Jong-Han Leem, Eun-Kyo Park, Hyunjoo Joo, Bohyun Park, Mina Ha, Eunhee Ha
    Environment International.2020; 137: 105547.     CrossRef
  • 247 View
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  • 9 Web of Science
  • 7 Crossref
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Research Article
Relationship between Work Hours and Smoking Behaviors in Korean Male Wage Workers
Sung-Mi Jang, Eun-hee Ha, Hyesook Park, Eunjeong Kim, Kyunghee Jung-Choi
Ann Occup Environ Med 2013;25:35-35.   Published online November 19, 2013
DOI: https://doi.org/10.1186/2052-4374-25-35
AbstractAbstract PDFPubReaderePub
Objectives

The purposes of this study are 1) to measure the prevalence of smoking according to weekly work hours by using data from the Korean Labor and Income Panel Study (KLIPS), and 2) to explain the cause of high smoking prevalence among those with short or long work hours by relative explanatory fraction.

Methods

Data from a total of 2,044 male subjects who responded to the questionnaire in the 10th year (2007) and 11th year (2008) of the Korean Labor and Income Panel Study were used for analysis. Current smoking, smoking cessation, continuous smoking, start of smoking, weekly work hours, occupational characteristics, sociodemographic and work-related factors, and health behavior-related variables were analyzed. Log-binomial regression analysis was used to study the relationship between weekly work hours and smoking behaviors in terms of the prevalence ratio.

Results

The 2008 age-adjusted smoking prevalence was 64.9% in the short work hours group, 54.7% in the reference work hours group, and 60.6% in the long work hours group. The smoking prevalence of the short work hours group was 1.39 times higher than that of the reference work hours group (95% confidence interval of 1.17-1.65), and this was explained by demographic variables and occupational characteristics. The smoking prevalence of the long work hours group was 1.11 times higher than that of the reference work hours group when the age was standardized (95% confidence interval of 1.03-1.19). This was explained by demographic variables. No independent effects of short or long work hours were found when the variables were adjusted.

Conclusion

Any intervention program to decrease the smoking prevalence in the short work hours group must take into account employment type, job satisfaction, and work-related factors.


Citations

Citations to this article as recorded by  
  • Factors Influencing Smoking Decisions Among Older Korean American Men
    Mo-Kyung Sin, KumHee Ro
    Journal of Addictions Nursing.2023; 34(1): E39.     CrossRef
  • Association of working hours and cumulative fatigue among Chinese primary health care professionals
    Yushi Lu, Zhi Li, Qingsong Chen, Yuting Fan, Jin Wang, Yonghao Ye, Yongqi Chen, Tian Zhong, Ling Wang, Ying Xiao, Dongmei Zhang, Xi Yu
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • Association between long working hours and cigarette smoking, leisure-time physical activity, and risky alcohol use: Findings from the Korea National Health and Nutrition Examination Survey (2014–2021)
    Seong-Uk Baek, Jin-Ha Yoon
    Preventive Medicine.2023; 175: 107691.     CrossRef
  • Mediation Effect of the Coping Strategies on the Relation Between Stress and Sleep Quality
    Sung Min Kim, Yoo Hyun Um, Tae Won Kim, Ho-Jun Seo, Jong-Hyun Jeong, Seung-Chul Hong
    Psychiatry Investigation.2022; 19(7): 580.     CrossRef
  • The relationship between working hours and lifestyle behaviors: Evidence from a population-based panel study in Korea
    Dong-Wook Lee, Tae-Won Jang, Hyoung-Ryoul Kim, Mo-Yeol Kang
    Journal of Occupational Health.2021;[Epub]     CrossRef
  • Associations between the Smoking Status of Korean Employees and Their Work Schedule & Working Hours
    Ju-Ok Son, In-Sun Kang, Hong-Jun Cho
    Journal of the Korean Society for Research on Nicotine and Tobacco.2019; 10(2): 99.     CrossRef
  • Health Disparities among Korean Workers by Enterprise Size: Using Korean Labor and Income Panel Study (17th)
    Bohyun Park, Sook Ja Choi, Sukyong Seo
    Korean Journal of Occupational Health Nursing.2016; 25(4): 277.     CrossRef
  • Heavy smoking rate trends and related factors in Korean occupational groups: analysis of KNHANES 2007–2012 data
    Bo-Guen Kim, Do-Dam Pang, Young-Jun Park, Jong-In Lee, Hyoung-Ryoul Kim, Jun-Pyo Myong, Tae-Won Jang
    BMJ Open.2015; 5(11): e008229.     CrossRef
  • The Effects of Job Characteristics on Smoking and Mediating Effects of Job Stress among Older Workers
    Sungeun Lee
    Korean Journal of Health Education and Promotion.2014; 31(3): 51.     CrossRef
  • 211 View
  • 1 Download
  • 7 Web of Science
  • 9 Crossref
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