Hye Won Suk

• PhD
• Professor (Associate) at Sogang University

Background The degree of alpha attenuation from eyes-closed (EC) to eyes-open (EO) has been suggested as a neural marker of cognitive health, and its disruption has been reported in patients with clinically defined Alzheimer’s disease (AD) dementia. Objective We tested if EC-to-EO alpha reactivity was related to cerebral amyloid-β (Aβ) deposition...

심리학 여러 분야에서 사전, 사후 시점에 반복측정한 자료에 기반하여 처치집단과 통제집단 간 변화의 차이를 살펴보는 연구를 자주 볼 수 있다. 이때 연구자들이 가장 널리 사용하는 분석 모 형은 차이점수 모형과 공분산분석 모형이다. 하지만, 이 두 모형은 때로 상이한 결과를 산출하기 때문에, 많은 연구자들은 언제 어떠한 방법을 사용해야 하는지 혼란을 겪고 있다. 이에, 본 연구 는 두 모형을 이론적, 경험적으로 비교한 연구를 개관하고, 이에 기반하여 언제 어느 모형을 사 용하는 것이 적절한지 가이드라인을 제시하고자 하였다. 이를 위해, 우선 두 모형을 각각 소개하 고, 예시 자료를 통해 두 모형이 서로 다른 분석 결과를 산...

Objectives Sleep disturbances are associated with both the onset and progression of depressive disorders. It is important to capture day-to-day variability in sleep patterns; irregular sleep is associated with depressive symptoms. We used sleep efficiency, measured with wearable devices, as an objective indicator of daily sleep variability. Materi...

Background Air pollution control is necessary to decrease the burden on older adults with cognitive impairment, especially in low- and middle-income countries (LMICs). Objective This study retrospectively examined the effect of cumulative exposure to air pollution, including NO2, SO2, CO, fine particulate matter (PM)10, PM2.5, and O3, on cognitive...

According to the theories on interpersonal mattering, reciprocal interactions and mutual engagements facilitate the formation of interpersonal mattering within relationships. However, the theoretical framework on mattering has rarely been applied to understand the roles of sexual and verbal exchanges within intimate relationships. To fill this rese...

The pathogen stress hypothesis posits that pathogen-related threats influence regional and individual differences in collectivism since behavioral practices associated with collectivism limit the spread of infectious diseases. In support of the hypothesis, previous research demonstrates the association between individualism/collectivism and pathoge...

Despite the pervasiveness of facial inferences, scholars have debated whether our face reflects valid information regarding how we actually behave. Whereas previous research has largely focused on the accuracy of facial inferences, the present research examined the validity of face-based judgments. Specifically, we tested how accurate face-based ju...

The present study examined the daily well-being of Koreans (n = 353,340) for 11 weeks during the COVID-19 pandemic (January 20 –April 7). We analyzed whether and how life satisfaction, positive affect, negative affect, and life meaning changed during the outbreak. First, we found that the well-being of Koreans changed daily in a cubic fashion, such...

This study aimed to identify differences between physiological age-related and Alzheimer’s disease (AD)-related alterations in sleep and rest-activity rhythm (RAR). All participants (n = 280; 20–90 years) underwent clinical assessments, [¹¹C] Pittsburgh compound B-PET, and actigraphic monitoring. In cognitively normal adults without cerebral amyloi...

Day-of-week (DOW) effects such as “blue Monday,” “Thank God it’s Friday” (TGIF), and weekend effects have mostly been investigated using a cross-sectional approach with Western samples and focusing on hedonic aspects of well-being. Using large-scale data (N = 859,749) containing multiple observations per person collected from Koreans, we examined v...

Purpose To investigate age-related differences in the relationships among at-risk alcohol consumption, alcohol use disorder (AUD), and psychological distress with a special focus on older adults. Methods We used a nationwide cross-sectional study of a representative sample of community-dwelling adults from the Korean Epidemiologic Catchment Area s...

Background: Although a focus on late-life depression may help preventing suicide in older adults, many older people, especially those living in rural areas, have relatively low accessibility to treatment. This study examined the feasibility and effectiveness of a village-based intervention for depression targeting older adults living in rural area...

Background: Although a focus on late-life depression may help preventing suicide in older adults, many older people, especially those living in rural areas, have relatively low accessibility to treatment. This study examined the feasibility and effectiveness of a village-based intervention for depression targeting older adults living in rural areas...

Background: There has been no study on the time trends of dementia incidence in Korea. We report the 5-year incidence and its correlates of all-cause and Alzheimer's disease (AD) dementia, and compared our results with those of a 12-year-prior cohort study conducted in the same area. Methods: A total of 751 community-dwelling older adults were f...

Background Although a focus on late-life depression may help preventing suicide in older adults, many older people, especially those living in rural areas, have relatively low accessibility to treatment. This study examined the feasibility and effectiveness of a village-based intervention for depression targeting older adults living in rural areas....

We aimed to examine the feasibility and effectiveness of a multidomain intervention including intensive and maintenance programs for reducing the risk of dementia in at-risk older adults. Community-dwelling older adults (aged ≥60 years) without dementia but having several risk factors for dementia (N = 32; 89% female; mean age±standard deviation, 7...

Pain is a dynamic experience subject to substantial individual differences. Intensive longitudinal designs best capture the dynamical ebb and flow of the pain experience across time and settings. Thanks to the development of innovative and efficient data collection technologies, conducting an intensive longitudinal pain study has become increasingl...

Growth curve modeling is one of the main analytical approaches to study change over time. Growth curve models are commonly estimated in the linear and nonlinear mixed-effects modeling framework in which both the mean and person-specific curves are modeled parametrically with functions of time such as the linear, quadratic, and exponential. However,...

Purpose/objective: Previous studies have demonstrated important associations between personal resources and pain interference. Using latent profile analysis, the present study (a) identified subgroups of individuals with chronic pain who have different personal resource profiles; (b) explored sociodemographic differences among subgroups; and (c) e...

Objective: Parental cannabis use disorder (CUD) is a known risk factor in the development of adolescent cannabis use. One potential mechanism is parenting behaviors. This study considered cannabis-specific parenting strategies as a mechanism of the relation between parental CUD and adolescent cannabis use. Method: Pathways were examined using mu...

This didactic article aims to provide a gentle introduction to penalized splines as a way of estimating nonlinear growth curves in which many observations are collected over time on a single or multiple individuals. We begin by presenting piecewise linear models in which the time domain of the data is divided into consecutive phases and a separate...

Parasympathetically-mediated heart rate variability (HRV), commonly indexed via respiratory sinus arrhythmia (RSA), is theorized to support the physiological regulation of emotion; however, little is known about the trajectory of change in resting RSA across early development among high-risk populations for whom emotion regulation is crucial. This...

Parental cannabis use disorder (CUD) and low positive parenting (monitoring, support, and consistency) are risk factors for adolescent cannabis use. However, it is unclear whether parental cannabis use without CUD is sufficient to increase risk for low positive parenting and adolescent cannabis use. Additionally, parents may not treat each of their...

An extension of Generalized Structured Component Analysis (GSCA), called Functional GSCA, is proposed to analyze functional data that are considered to arise from an underlying smooth curve varying over time or other continua. GSCA has been geared for the analysis of multivariate data. Accordingly, it cannot deal with functional data that often inv...

Background: This study evaluated the impacts of earlier traumatic events on the mental health of older adults, in terms of mental disorders and mental well-being, according to sociodemographic variables, trauma-related characteristics, and personality traits in a nationally representative sample of older Koreans. Methods: A total of 1,621 subjec...

Functional Data Analytic (FDA) techniques were applied to National Hockey League (NHL) endof-season team-level data across 13 seasons. FDA techniques allow for non-parametric modeling of longitudinal data that is assumed to come from a smooth underlying curve. The purpose of this project was to demonstrate the application of FDA to NHL team-level d...

Differences in clinical characteristics, symptomatology, and psychiatric comorbidity between early-onset depression (EOD) and late-onset depression (LOD) were examined in a nationwide representative sample. The Korean Composite International Diagnostic Interview was used to investigate psychiatric diagnoses and age of onset. A total of 319 subjects...

This study compared the factors associated with the utilization of mental health services across various age cohorts, with a particular focus on the differential influence of the stigma placed on mental illness on the use of these services. The present study used data from a Korean national epidemiological survey of mental disorders among community...

Functional extended redundancy analysis (FERA) was recently developed to integrate data reduction into functional linear models. This technique extracts a component from each of multiple sets of predictor data in such a way that the component accounts for the maximum variance of response data. Moreover, it permits predictor and/or response data to...

The purpose of this study was to utilize thermal imaging and the Concealed Information Test to detect deception in participants who committed a mock crime. A functional analysis using a functional ANOVA and a functional discriminant analysis was conducted to decrease the variation in the physiological data collected through the thermal imaging came...

We propose a functional extension of fuzzy clusterwise regression, which estimates fuzzy memberships of clusters and regression coefficient functions for each cluster simultaneously. The proposed method permits dependent and/or predictor variables to be functional, varying over time, space, and other continua. The fuzzy memberships and clusterwise...

Fuzzy c-means clustering is a useful method for capturing group-level heterogeneity of objects. This method estimates cluster centroids and fuzzy memberships simultaneously. A potential limitation of fuzzy c-means is that it may fail to detect clusters of different sizes. To address this difficulty, we propose an extension of FCM, called hierarchic...

We propose a functional version of extended redundancy analysis that examines directional relationships among several sets of multivariate variables. As in extended redundancy analysis, the proposed method posits that a weighed composite of each set of exogenous variables influences a set of endogenous variables. It further considers endogenous and...

Fuzzy clusterwise regression has been a useful method for investigating cluster-level heterogeneity of observations based on linear regression. This method integrates fuzzy clustering and ordinary least-squares regression, thereby enabling to estimate regression coefficients for each cluster and fuzzy cluster memberships of observations simultaneou...

In fMRI data analysis, univariate techniques have been used to detect activation regions. In this study, we propose and compare an alternative approach, multivariate techniques, to extract meaningful activation patterns from fMRI data. When multivariate techniques such as PCA, rPCA, sICA, tICA, and FA were applied to the simulated fMRI-like data, o...