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  • Open Access

    ARTICLE

    The Impact of Social Support on the Mental Health of Cancer Patients: Evidence from China

    Wanxiu Zhu*

    Psycho-Oncologie, Vol.18, No.1, pp. 69-77, 2024, DOI:10.32604/po.2023.046593

    Abstract Exploring the relationship between social support and the mental health of cancer patients is a vital endeavor for enhancing mental well-being. The objective of this study was to explore the relationship between social support and psychological well-being in cancer patients and to provide new empirical evidence for psychological improvement in cancer patients. This research holds significant practical implications for optimizing China’s public health system and strengthening the development of a healthy China. Using data from the 2018 China Health and Retirement Longitudinal Study (CHARLS) database, we empirically examined the influence of social support on the mental health of cancer patients.… More >

  • Open Access

    ARTICLE

    A Modified Principal Component Analysis Method for Honeycomb Sandwich Panel Debonding Recognition Based on Distributed Optical Fiber Sensing Signals

    Shuai Chen1, Yinwei Ma2, Zhongshu Wang2, Zongmei Xu3, Song Zhang1, Jianle Li1, Hao Xu1, Zhanjun Wu1,*

    Structural Durability & Health Monitoring, Vol.18, No.2, pp. 125-141, 2024, DOI:10.32604/sdhm.2024.042594

    Abstract The safety and integrity requirements of aerospace composite structures necessitate real-time health monitoring throughout their service life. To this end, distributed optical fiber sensors utilizing back Rayleigh scattering have been extensively deployed in structural health monitoring due to their advantages, such as lightweight and ease of embedding. However, identifying the precise location of damage from the optical fiber signals remains a critical challenge. In this paper, a novel approach which namely Modified Sliding Window Principal Component Analysis (MSWPCA) was proposed to facilitate automatic damage identification and localization via distributed optical fiber sensors. The proposed method is able to extract signal… More > Graphic Abstract

    A Modified Principal Component Analysis Method for Honeycomb Sandwich Panel Debonding Recognition Based on Distributed Optical Fiber Sensing Signals

  • Open Access

    ARTICLE

    Impact of Social Determinants of Health on Self-Perceived Resilience: An Exploratory Study of Two Cohorts of Adults with Congenital Heart Disease

    Albert Osom1, Krysta S. Barton2, Katie Sexton3,4, Lyndia Brumback1, Joyce P. Yi-Frazier4, Abby R. Rosenberg5,6, Ruth Engelberg7, Jill M. Steiner8,*

    Congenital Heart Disease, Vol.19, No.1, pp. 33-48, 2024, DOI:10.32604/chd.2024.046656

    Abstract Social determinants of health (SDOH) affect quality of life. We investigated SDOH impacts on self-perceived resilience among people with adult congenital heart disease (ACHD). Secondary analysis of data from two complementary studies: a survey study conducted May 2021–June 2022 and a qualitative study conducted June 2020–August 2021. Resilience was assessed through CD-RISC10 score (range 0–40, higher scores reflect greater self-perceived resilience) and interview responses. Sociodemographic and SDOH (education, employment, living situation, monetary stability, financial dependency, area deprivation index) data were collected by healthcare record review and self-report. We used linear regression with robust standard errors to analyze survey data and… More > Graphic Abstract

    Impact of Social Determinants of Health on Self-Perceived Resilience: An Exploratory Study of Two Cohorts of Adults with Congenital Heart Disease

  • Open Access

    ARTICLE

    Association of Congenital Heart Defects (CHD) with Factors Related to Maternal Health and Pregnancy in Newborns in Puerto Rico

    Yamixa Delgado1,*, Caliani Gaytan1, Naydi Perez2, Eric Miranda3, Bryan Colón Morales1, Mónica Santos1

    Congenital Heart Disease, Vol.19, No.1, pp. 19-31, 2024, DOI:10.32604/chd.2024.046339

    Abstract Background: Given the pervasive issues of obesity and diabetes both in Puerto Rico and the broader United States, there is a compelling need to investigate the intricate interplay among body mass index (BMI), pregestational, and gestational maternal diabetes, and their potential impact on the occurrence of congenital heart defects (CHD) during neonatal development. Methods: Using the comprehensive System of Vigilance and Surveillance of Congenital Defects in Puerto Rico, we conducted a focused analysis on neonates diagnosed with CHD between 2016 and 2020. Our assessment encompassed a range of variables, including maternal age, gestational age, BMI, pregestational diabetes, gestational diabetes, hypertension,… More >

  • Open Access

    REVIEW

    How aging affects bone health via the intestinal micro-environment

    HUAN HU1,2,*, YUE HUANG1, FANGZHOU LIU1, QIAN WANG1,2, YANZI YAO3,*

    BIOCELL, Vol.48, No.3, pp. 353-362, 2024, DOI:10.32604/biocell.2024.048311

    Abstract Increasing life expectancy and an aging population lead to age-related bone diseases like osteoporosis and low bone mass more prevalent. These conditions represent a common, costly and chronic burden, not only for elderly but also to society at large. Consequently, elucidating the pathophysiology and developing effective therapies for these diseases is of paramount importance. Recent advances in research have identified the gut as a novel and promising target for addressing bone disorders, giving rise to the concept of the “gut-bone axis”. An in-depth review of the latest insights into the effects of age-related physiological changes in the gastrointestinal tract on… More >

  • Open Access

    ARTICLE

    Improving Prediction of Chronic Kidney Disease Using KNN Imputed SMOTE Features and TrioNet Model

    Nazik Alturki1, Abdulaziz Altamimi2, Muhammad Umer3,*, Oumaima Saidani1, Amal Alshardan1, Shtwai Alsubai4, Marwan Omar5, Imran Ashraf6,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.3, pp. 3513-3534, 2024, DOI:10.32604/cmes.2023.045868

    Abstract Chronic kidney disease (CKD) is a major health concern today, requiring early and accurate diagnosis. Machine learning has emerged as a powerful tool for disease detection, and medical professionals are increasingly using ML classifier algorithms to identify CKD early. This study explores the application of advanced machine learning techniques on a CKD dataset obtained from the University of California, UC Irvine Machine Learning repository. The research introduces TrioNet, an ensemble model combining extreme gradient boosting, random forest, and extra tree classifier, which excels in providing highly accurate predictions for CKD. Furthermore, K nearest neighbor (KNN) imputer is utilized to deal… More >

  • Open Access

    ARTICLE

    Study on Influencing Factors of Mental Health of Mobile Young White-Collar Workers in China

    Tao Liu1, Lin Liu1, Zeyu Chen1,*, Rong Fu2,*

    International Journal of Mental Health Promotion, Vol.26, No.2, pp. 127-138, 2024, DOI:10.32604/ijmhp.2023.045071

    Abstract Mobile young white-collar workers not only have the characteristics of mobile young people, but also have the characteristics of general white-collar workers. Under the influence of both, their mental health may be suffering from “double disadvantage”. So, based on an ecological model of the stress process, this paper tries to use the data of the questionnaire on the mental health of mobile young white-collar workers in Zhejiang Province to explore the influence of some factors in the middle workplace and residence place on the mental health of micro individuals. The results show that: (1) The working environment with high control… More >

  • Open Access

    ARTICLE

    Parental Educational Expectations, Academic Pressure, and Adolescent Mental Health: An Empirical Study Based on CEPS Survey Data

    Tao Xu1,*, Fangqiang Zuo1, Kai Zheng2,*

    International Journal of Mental Health Promotion, Vol.26, No.2, pp. 93-103, 2024, DOI:10.32604/ijmhp.2023.043226

    Abstract Background: This study aimed to investigate the relationship between parental educational expectations and adolescent mental health problems, with academic pressure as a moderating variable. Methods: This study was based on the baseline data of the China Education Panel Survey, which was collected within one school year during 2013–2014. It included 19,958 samples from seventh and ninth graders, who ranged from 11 to 18 years old. After removing missing values and conducting relevant data processing, the effective sample size for analysis was 16344. The OLS (Ordinary Least Squares) multiple linear regression analysis was used to examine the relationship between parental educational… More >

  • Open Access

    ARTICLE

    Shifting the Paradigm: A Fresh Look at Physical Activity Frequency and Its Impact on Mental Health, Life Satisfaction, and Self-Rated Health in Adolescents

    Wenjie Li1, Yucheng Gao2, Guoqing Liu2, Rongkai Hao2, Meijie Zhang2, Xiaotian Li1,*

    International Journal of Mental Health Promotion, Vol.26, No.2, pp. 83-92, 2024, DOI:10.32604/ijmhp.2023.042014

    Abstract As adolescent mental health problems are becoming a more serious issue globally, this paper explores the relationship of physical activity in adolescents and its frequency on mental health as well as examines the mediating effects of life satisfaction and self-rated health in order to provide a reference for the promotion of mental health in adolescents. A sample of 3578 Chinese high school students completed questionnaires assessing their mental health, physical activity frequency, life satisfaction, and self-rated health. The mean SCL-90 value for adolescents was found to be 1.629%, and 24.73% of adolescents had varying degrees of mental health issue. Increased… More >

  • Open Access

    ARTICLE

    Towards Lessening Learners’ Aversive Emotions and Promoting Their Mental Health: Developing and Validating a Measurement of English Speaking Demotivation in the Chinese EFL Context

    Chili Li1, Xinxin Zhao2, Ziwen Pan3, Ting Yi4, Long Qian5,6,*

    International Journal of Mental Health Promotion, Vol.26, No.2, pp. 161-175, 2024, DOI:10.32604/ijmhp.2023.029896

    Abstract While a plethora of studies has been conducted to explore demotivation and its impact on mental health in second language (L2) education, scanty research focuses on demotivation in L2 speaking learning. Particularly, little research explores the measures to quantify L2 speaking demotivation. The present two-phase study attempts to develop and validate an English Speaking Demotivation Scale (ESDS). To this end, an independent sample of 207 Chinese tertiary learners of English as a Foreign Language (EFL) participated in the development phase, and another group of 188 Chinese EFL learners was recruited for the validation of the scale. Exploratory Factor Analysis (EFA)… More >

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