2025, Vol.11, No.5

This study aimed to identify health behaviors and sociodemographic factors associated with depression among adults. Using data from the Korea Health Panel, depression was found to be significantly associated with age(χ²=74.31, p<.001), educational(χ²=53.64, p<.001), family living together (χ²=78.93, p<.001), employment income(χ²=21.60, p<.001), regular exercise(χ²=5.66, p=0.017), chronic disease status(χ²=122.97, p<0.001), subjective health status(χ²=254.99, p<.001), disability(χ²=96.40, p<.001), stress level(χ²=411.46, p<.001), professional counseling(χ²=619.22, p<.001), and medication use(χ ²=860.50, p<.001). The results of the multivariate logistic regression analysis showed that females were significantly more likely to experience depression compared to males (Adjusted OR = 1.60, 95% CI = 1.04–2.44, p = 0.029). Compared with those aged 20–39 years, individuals aged 40–64 years (OR = 0.14, 95% CI = 0.03–0.60, p = 0.009) and those aged 65 years or older (OR = 0.07, 95% CI = 0.01–0.32, p < 0.001) had a significantly lower likelihood of depression. Participants who were not living with family members were more likely to experience depression (OR = 1.58, 95% CI = 1.07–2.33, p = 0.019). Those who perceived “a little” stress had a lower likelihood of depression than those who perceived “a lot” of stress (OR = 0.48, 95% CI = 0.26–0.90, p = 0.023). Participants who were not taking medication also showed a lower likelihood of depression (OR = 0.05, 95% CI = 0.01–0.20, p = 0.001). These findings highlight the importance of considering both health-related behaviors and sociodemographic characteristics in predicting and understanding adult depression. However, the interpretation of the results should be made with caution, as the study was based on cross-sectional data, limiting causal inference. In addition, the analysis relied on self-reported responses regarding depression status rather than clinically diagnosed classifications, which may restrict the generalizability of the findings.

Real-Time XR Streaming and Synchronization for Autonomous

Jung-Soo Han | 2025, 11(5) | pp.171~180 | number of Cited : 0

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Risk Mitigation Strategy Based on FMEA for Integrated Power Management System: A Case Study Applying Fuzzy Service FMEA

Myeong-Gwan Han , Seok-Goo Lee , Dong-Hyun Kim | 2025, 11(5) | pp.181~187 | number of Cited : 0

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Transmission Control for User Fairness in UAV-Assisted RSMA Networks

Wonjong Noh | 2025, 11(5) | pp.189~197 | number of Cited : 0

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Research on Constructing PDoA UWB Ranging Method Based Single-Anchor Positioning System

Seungho Yoo | 2025, 11(5) | pp.199~204 | number of Cited : 0

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Integration of Drone Simulation and Digital Twin: Current Status Analysis and Technical Challenges

Sooyoung Moon | 2025, 11(5) | pp.205~216 | number of Cited : 0

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ARVIS: An Automated Resilience Verification and Improvement System for Cloud Environments

Chan-Hwi Lee , Keun-Ho Lee | 2025, 11(5) | pp.217~222 | number of Cited : 0

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Advanced Skin Cancer Detection Using Dual Partial Attention Aware Multiple Convolutional Framework

Muhammad Danish Ali , In-Chul Han , Soo Kyun Kim | 2025, 11(5) | pp.223~230 | number of Cited : 0

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A Study on an IoT-Converged Platform for Children’s Play and Care

Keun-Ho Lee | 2025, 11(5) | pp.231~237 | number of Cited : 0

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A Data-Driven Collision Avoidable Area Estimation Model for MASS

Taemin Hwang , Sung-Cheol Kim | 2025, 11(5) | pp.239~245 | number of Cited : 0

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Exploring the Status and Characteristics of Wellness-Converged Tea Products for Future Development

In-Sook Kim | 2025, 11(5) | pp.247~252 | number of Cited : 0

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In modern society, the acceleration of industrialization and digitalization has intensified individual experiences of stress and emotional anxiety. As a result, there is a growing social demand for wellness content that can simultaneously promote physical health and emotional recovery. This study aims to respond to this social need by reinterpreting the traditional value of tea culture in a contemporary context and exploring the characteristics and industrial development directions of wellness-converged tea products. First, this study defines wellness as a holistic state of health achieved through the balance of physical, emotional, cognitive, and social dimensions, and examines tea products as effective mediators that can realize multidimensional wellness. Second, this study analyzes the current status of the tea industries in the East, the West, and Korea, identifying four common global trends: the expansion of functional tea consumption, the rapid growth of ready-to-drink (RTD) products, the spread of premium and ethical consumption, and the rise of experiential services. Furthermore, this study discusses the applicability of digital technologies such as IoT and AI, highlighting opportunities for industry expansion through smart teapots, health data–based personalized recommendations, subscription platforms, and VR/AR-based cultural experiences. Academically, this study establishes an integrative perspective that connects traditional tea culture with wellness research, while practically, it explores developmental directions for the tea industry to evolve into a converged sector encompassing health, culture, tourism, and technology. Future research should conduct empirical validation and technology acceptance analysis to further assess the effectiveness and market potential of wellness-converged tea products.

KJCKorea
Journal Central

Journal of Internet of Things and Convergence 2025 KCI Impact Factor : 0.75

2025, Vol.11, No.5