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Chan Park

Chan Park

· Assistant ProfessorVerified

University of Illinois Urbana-Champaign · Statistics

Active 2003–2025

h-index29
Citations3.0k
Papers22699 last 5y
Funding
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About

Chan Park is an assistant professor in the Department of Statistics at the University of Illinois Urbana-Champaign. He completed his Ph.D. in Statistics at the University of Wisconsin-Madison in May 2022 under the supervision of Professor Hyunseung Kang. Prior to his doctoral studies, he worked as a statistician for two and a half years at the Central Bank of Korea. Following his Ph.D., he was a postdoctoral researcher in the Department of Statistics and Data Science at the Wharton School, University of Pennsylvania, where he was mentored by Professor Eric J. Tchetgen Tchetgen. Chan Park holds a B.S. in Statistics with a minor in Economics from Seoul National University. His research broadly focuses on causal inference, particularly under interference and non-i.i.d. settings, causal inference under unmeasured confounding, and optimal treatment regimes and policy learning. A common theme in his work is the use of nonparametric and semiparametric theory combined with optimization methods to develop efficient and robust estimators of causal quantities in these areas. His contributions aim to advance the methodology for analyzing complex causal relationships in statistics.

Research topics

  • Psychiatry
  • Medicine
  • Clinical psychology
  • Environmental health
  • Gerontology
  • Psychology
  • Biology
  • Internal medicine
  • Gender studies
  • Social psychology

Selected publications

  • Determinants of Health-Promoting Behaviors Among Indonesian Adolescents Living in Child Welfare Institutions: Cross-Sectional Survey Study

    JMIR Public Health and Surveillance · 2025-08-07

    articleOpen accessSenior author

    BACKGROUND: Adolescents in child welfare institutions often face inadequate facility resources, limited caregiver support, and restricted access to health care services. These obstacles impede their physical, mental, and social development during adolescence, resulting in significant health vulnerabilities. Engaging in health-promoting behaviors (HPBs) can enhance their overall health and quality of life, potentially contributing to improved long-term well-being. OBJECTIVE: This study aimed to identify the HPBs of adolescents in child welfare institutions in Indonesia and explore the determinants influencing these behaviors using the health promotion model. METHODS: This study used a cross-sectional survey design. Adolescents living in welfare institutions were recruited from January 14, 2024, to February 3, 2024. After obtaining institutional review board approval, 6 research assistants visited 17 institutions in Malang and collected data from participants who provided their consent using tablet PCs that linked to the questionnaire. The variables studied included HPBs, health literacy, self-esteem, perceived barriers to action, perceived self-efficacy, and social support. Multivariate structural analysis was conducted using SPSS Statistics (version 26.0; IBM Corp) and SPSS Amos (version 26.0; IBM Corp). RESULTS: A total of 276 adolescents participated in this study. Adolescents' HPBs differed significantly based on age group (P=.03), educational level (P=.04), duration of stay in child welfare institutions (P=.03), and the institutions' accreditation level (P=.02). In the final model, perceived self-efficacy (β=0.538; P<.001) and social support (β=0.256; P<.001) together accounted for 47.9% of the variance in HPBs. Self-esteem was positively correlated with perceived self-efficacy (β=0.184; P<.001) and social support (β=0.303; P<.001) but negatively correlated with perceived barriers to action (β=-0.194; P<.01). Health literacy was also negatively correlated with perceived barriers to action (β=-0.234; P<.001). Self-esteem indirectly affected HPBs through perceived self-efficacy (β=0.099; P<.01) and social support (β=0.078; P<.001). CONCLUSIONS: To improve the HPBs of adolescents living in child welfare institutions, their self-esteem needs to be increased to further enhance their self-efficacy and social support. Careful attention and monitoring of HPBs among these adolescents may lead to better health outcomes and support their transition from child welfare institutions to the broader community.

  • Relationship Between Musculoskeletal Disorders and Productivity Loss Among Hospital Nurses: An Analytical Cross‐Sectional Study With Secondary Data Analysis

    Journal of Nursing Scholarship · 2025-05-21 · 1 citations

    articleOpen access

    AIM: To identify the prevalence of musculoskeletal disorders among hospital nurses and explore their effects on productivity loss. DESIGN: An analytical cross-sectional study with secondary data analysis was conducted. METHODS: Data were collected via an online survey of 607 registered nurses working in general and tertiary hospitals in South Korea. Multivariate logistic regression analysis was performed to examine the association between musculoskeletal disorders and four productivity loss indicators: absenteeism, presenteeism, perceived productivity loss, and work limitations. RESULTS: Musculoskeletal disorders were highly prevalent among hospital nurses, with 83.9% of participants reporting musculoskeletal disorder symptoms in the past week. Lower back complaints had the highest prevalence. Nurses with musculoskeletal disorders were 3.74 times more likely to experience presenteeism than those without musculoskeletal disorders. They were also 3.00 times more likely to report perceived productivity loss and 2.24 times more likely to experience work limitations. However, no significant relationship was observed between musculoskeletal disorders and absenteeism. CONCLUSION: Musculoskeletal disorders contribute to presenteeism, productivity loss, and work limitations among hospital nurses. Targeted interventions for preventing and managing musculoskeletal disorders are essential to mitigate productivity losses and improve nurses' health and job performance. Strategies such as ergonomic workplace modifications, early detection, and effective management of musculoskeletal disorders can help maintain nurses' productivity and well-being. CLINICAL RELEVANCE: Addressing musculoskeletal disorders is critical for enhancing nurse productivity and for ensuring the delivery of high-quality patient care. Healthcare organizations can safeguard nurses' health and patient outcomes by reducing presenteeism and work limitations.

  • Mediating Effects of Family and Clinical Characteristics on the Quality of Life of Children With Spina Bifida and Their Parents

    Journal of Advanced Nursing · 2025-05-16 · 1 citations

    articleOpen access

    AIMS: (1) To determine the mediating effects of children's transition readiness, which reflects self-management skill acquisition, and family resilience on the relationship between parenting stress and the quality of life (QOL) of parents and children with spina bifida (SB). (2) To conduct an exploratory analysis of the differences in the mediating pathways based on the presence of SB-related clinical characteristics. DESIGN: A cross-sectional study. METHODS: Data were collected from a single centre in South Korea between October 2022 and July 2024. Participants included children aged 7-13 years diagnosed with myelomeningocele, lipomyelomeningocele or tethered cord syndrome, along with their parents. Statistical analysis was conducted using SPSS and the MEDYAD macro for actor-partner interdependence mediation model analysis. RESULTS: Family resilience significantly mediated the relationship between parenting stress and both child and parent QOL. However, transition readiness was not a significant mediator in the overall sample. Among children with SB-related clinical characteristics, transition readiness significantly mediated the association between parenting stress and child QOL. In contrast, family resilience mediated the relationship between parenting stress and parent QOL. No significant mediators were found in children without SB-related clinical characteristics. CONCLUSION: This study highlights the mediating role of family resilience and transition readiness in improving the QOL of children with SB, particularly those with clinical characteristics. The findings suggest that interventions should be tailored to address both family resilience and transition readiness, especially for children with SB-related clinical challenges. IMPACT: These findings are valuable for nurses supporting children with SB, as the results highlight the importance of transition education tailored to SB-related clinical characteristics. In particular, nurse-led transition education may play a key role in enhancing transition readiness and improving the QOL of children with SB who have clinical characteristics. PATIENT CONTRIBUTION: None. REPORTING METHOD: STROBE Checklist for cross-sectional studies.

  • Effectiveness of nonpharmacological sleep interventions in pregnancy: a systematic review and meta-analysis

    Journal of Clinical Sleep Medicine · 2025-04-01 · 1 citations

    review
  • Sarcopenia in patients with metastatic breast cancer: A systematic review and meta-analysis

    The Breast · 2025-05-22 · 6 citations

    reviewOpen access

    <h2>Abstract</h2><h3>Background</h3> Sarcopenia is associated with poor treatment outcomes and survival in early breast cancer and other cancer types. This systematic review and meta-analysis evaluated sarcopenia's prevalence and clinical implications for metastatic breast cancer—an area that remains underexplored. <h3>Methods</h3> A systematic literature review searched CINAHL, Cochrane Library, Embase, and Ovid MEDLINE for studies published before October 2024. A meta-analysis using a random- or fixed-effects model calculated mean differences in skeletal muscle index (SMI) and assessed the association with progression-free and overall survival. The study protocol was registered on PROSPERO (CRD42024557390). <h3>Results</h3> Fourteen studies involving 1,472 participants with metastatic breast cancer were included. The pooled overall sarcopenia prevalence was 41.6% (95% CI 35.4%–48.7%), with variability driven by differing SMI cutoffs (38–41 cm<sup>2</sup>/m<sup>2</sup>). The pooled mean SMI was 41.01 cm<sup>2</sup>/m<sup>2</sup> (95% CI 38.81–43.21, <i>p</i> < .001), with significant heterogeneity <i>(I</i><sup>2</sup> = 95.3%). Subgroup analysis revealed that patients treated with cyclin-dependent kinase 4 and 6 (CDK4/6) inhibitors as first-line treatment had an SMI of 42.08 cm<sup>2</sup>/m<sup>2</sup>. Our synthesized review showed heterogeneous association between sarcopenia and poor treatment outcomes. Sarcopenia's impact on progression-free survival (hazard ratio=1.17, 95% CI 0.43–1.91) and overall survival (hazard ratio=0.99, 95% CI 0.96–1.01) was not statistically significant. <h3>Conclusions</h3> Sarcopenia is prevalent and clinically meaningful in metastatic breast cancer. While its direct role in survival remains inconclusive, early assessment of sarcopenia by molecular subtype and treatment timing is crucial for optimizing care.

  • Constructing the Nursing Value Model Using Readily Available Datasets

    CIN Computers Informatics Nursing · 2025-12-10

    article

    The Nursing Value Model (NVM) is a data framework model developed to measure the value of nursing care at the patient level. The NVM was constructed by multiple datasets extracted and assembled from various sources, such as the hospital electronic health records (EHR) and administrative data. Yet, very few studies have examined this model. As such, this study aimed to introduce how to construct NVM using available health care data, and discuss the feasibility of doing so by describing the insights and pitfalls during the development of the dataset. Data from 5 sources were used to build the dataset used to explore the NVM to estimate patient-level nursing cost estimation. Five aspects of data acquisition and synthesis are described: (a) each dataset acquisition, (b) the data wrangling process, (c) dataset construction, (d) data integrability, and (e) the strengths and weaknesses of each dataset. Six datasets from four different data sources were collected and merged, constructing the final dataset used for the NVM. Unique codes for nurses and patients were not always uniform, making the data complex and difficult to merge. To compute nursing value for the future, data systems need to be designed to collect, organize, and synthesize data easily.

  • Fatigue Scale for Children With Cancer: A Systematic Review and Reliability Generalization Meta-analysis

    Seminars in Oncology Nursing · 2025-04-22

    reviewOpen access

    OBJECTIVES: This study aimed to evaluate the overall reliability of the Fatigue Scale, the most widely used instrument for assessing fatigue severity in paediatric oncology patients, and to identify factors influencing the magnitude of reliability estimates. METHODS: PubMed, CINAHL, PsycINFO, Medline, Scopus, Embase, and Google Scholar were systematically searched. From an initial 492 articles identified, 21 were selected for the final analysis. Reliability generalization meta-analyses were performed using Cronbach's alpha extracted from individual studies. A random-effects model was applied for the analysis. RESULTS: Most studies employed a cross-sectional design to assess fatigue symptoms in children and adolescents with various types of cancer. The mean weighted effect size for the total sample (n = 3,750) was 0.915 (95% CI = [0.888, 0.934]). A diagnosis of leukaemia/lymphoma was a significant moderator in the parent sample (effect estimate = 0.003, P < .01), while the use of a language other than English significantly moderated reliability in both the parent (effect estimate = 0.301, P < .01) and staff (effect estimate = -0.306, P < .01) samples. CONCLUSIONS: The Fatigue Scale is a highly reliable tool for assessing fatigue symptoms across different paediatric oncology populations. However, the reliability of the scale may be influenced by a diagnosis of leukaemia/lymphoma in children and language translation when used by parents and staff, requiring careful consideration when comparing and interpreting results. IMPLICATIONS FOR NURSING PRACTICE: A reliable tool, the Fatigue Scale, is crucial for guiding clinical nurses and researchers. They can adopt the scale to assess the effects of an intervention aimed at relieving fatigue in paediatric oncology patients.

  • Author response for "Mediating Effects of Family and Clinical Characteristics on the Quality of Life of Children With Spina Bifida and Their Parents"

    2025-03-14

    peer-review
  • Dynamic Relationship Between Sleep Patterns and Behavioral and Psychological Symptoms of Dementia: Longitudinal Observational Study (Preprint)

    2025-07-10

    preprintSenior author

    <sec> <title>BACKGROUND</title> A higher prevalence of behavioral and psychological symptoms of dementia is associated with a greater caregiver burden and increased mortality in people with dementia. Considering the possibility of a reciprocal relationship between sleep disturbances and these symptoms, time series analyses are necessary to explore the associated temporal dynamics. </sec> <sec> <title>OBJECTIVE</title> This study aimed to examine dynamic interdependencies between sleep disturbances and behavioral and psychological symptoms of dementia in older adults. </sec> <sec> <title>METHODS</title> Daily interactions between sleep patterns and behavioral and psychological symptoms of dementia were analyzed over a 14-day period using a panel vector autoregressive model. Data were collected from June 2018 to June 2020 in community and institutional settings. A total of 154 older adults with dementia wore wrist actigraphy devices continuously for 2 weeks for sleep data, and caregivers recorded behavioral and psychological symptoms of dementia in a daily symptom diary. </sec> <sec> <title>RESULTS</title> Using a panel vector autoregressive model, we analyzed data from 154 older adults living with dementia and their caregivers. The results showed unidirectional Granger causality running from the number of awakenings on the previous day to irritability (&lt;i&gt;P&lt;/i&gt;=.03) and appetite or eating disorders (&lt;i&gt;P&lt;/i&gt;=.04) on the following day. Conversely, some of the previous day’s behavioral and psychological symptoms of dementia temporally preceded subsequent changes in sleep patterns. Specifically, delusions had a Granger-causality effect on total sleep time (&lt;i&gt;P&lt;/i&gt;&amp;lt;.001), wake after sleep onset (&lt;i&gt;P&lt;/i&gt;=.01), and the number of awakenings (&lt;i&gt;P&lt;/i&gt;=.006), while irritability had a Granger causality effect on the number of awakenings (&lt;i&gt;P&lt;/i&gt;=.007). Notably, bidirectional Granger causality was observed between irritability and the number of awakenings. </sec> <sec> <title>CONCLUSIONS</title> This study demonstrates that the relationship between the behavioral and psychological symptoms of dementia and sleep patterns is dynamic and forms a vicious cycle. Consequently, early intervention to alleviate symptoms is imperative, and strategies to enhance sleep quality and address sleep disturbances should be prioritized. </sec>

  • Temporal Dynamics Between Sleep and Physical Activity After Cardiac Surgery: A Cross-Lagged Panel Model

    Western Journal of Nursing Research · 2025-05-30

    article

    BACKGROUND: Cardiac patients often experience sleep problems and reduced physical activity (PA) after cardiac surgery. Sleep and PA are known to have a reciprocal interaction, but their temporal dynamic relationship remains unexplored in this population. OBJECTIVE: This study aimed to examine the temporal bidirectional relationship between sleep and PA after cardiac surgery using a cross-lagged panel model (CLPM). METHODS: This exploratory, longitudinal study involved a secondary analysis of previous data. The sample consisted of 33 adults who had undergone open-heart surgery at least 10 weeks prior. Five sleep and four PA variables were measured over 7 days using a wrist-worn ActiGraph. Data were analyzed using CLPM. RESULTS: Participants (mean age = 60.8 ± 10.1 years) had undergone cardiac surgery an average of 85.7 ± 91.2 months previously. The most common surgery type was coronary artery bypass grafting. Mean total sleep time was 6.4 ± 1.2 hours, below the recommended average of 7 hours, while average moderate-to-vigorous PA (117.8 ± 70.3 min/day) exceeded US guidelines. CLPM revealed unidirectional causation between sleep and PA; improved sleep efficiency predicted higher kilocalories expended and lower sedentary time the next day, while no PA predicted subsequent sleep. CONCLUSIONS: Improving sleep quality may enhance postsurgery PA, emphasizing the importance of integrated strategies targeting both behaviors in clinical and home-based rehabilitation programs. Future studies should explore the temporal dynamics between sleep and PA with a larger sample at different time points after surgery, while incorporating relevant covariates and mediators to deepen the understanding of these complex interactions.

Frequent coauthors

  • JuHee Lee

    47 shared
  • Linda L. McCreary

    University of Illinois Chicago

    44 shared
  • Jong Hee Chang

    Yonsei University

    39 shared
  • Soomin Hong

    38 shared
  • Jiyeon Lee

    Yonsei University

    37 shared
  • Tae Hee Kim

    Komipharm International (South Korea)

    36 shared
  • Gwang Suk Kim

    Yonsei University

    33 shared
  • Ardith Z. Doorenbos

    University of Washington

    21 shared

Labs

  • Chan Park LabPI

Education

  • Phd, Economics

    University of Illinois at Chicago

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