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  • Open Access


    Risk Factors and Gender Differences for Depression in Chilean Older Adults: A Cross-Sectional Analysis from the National Health Survey 2016–2017

    Gabriela Nazar1,2,*, Carlos-María Alcover3, Yeny Concha-Cisternas4,5, Igor Cigarroa5, Ximena Díaz-Martínez6, Mariela Gatica-Saavedra7, Fabián Lanuza8,9, Ana María Leiva-Ordónez10, María Adela Martínez-Sanguinetti11, Miquel Martorell2,12, Fanny Petermann-Rocha13,14, Claudia Troncoso-Pantoja15, Carlos Celis-Morales16

    International Journal of Mental Health Promotion, Vol.24, No.5, pp. 679-697, 2022, DOI:10.32604/ijmhp.2022.020105

    Abstract Depressive disorders are recognized as one of the most common mental health conditions across different age groups. However, the risk factors associated with depression among older people from low-and middle-income countries remains unclear. This study aims to identify socio-demographic, health and psychosocial-related factors associated with depression in Chilean older adults. A cross-sectional study was carried out in a representative sample of 1,765 adults aged ≥60 years participants from the Chilean National Health Survey 2016–2017. Depression was assessed with the Composite International Diagnostic Interview (CIDI-SF). Associations between the exposure variables and depression were investigated using Poisson regression analyses. The main findings… More >

  • Open Access


    Physical exercise, Sedentary Behaviour, Sleep and Depression Symptoms in Chinese Young Adults During the COVID-19 Pandemic: A Compositional Isotemporal Analysis

    Jianjun Su1, Enxiu Wei1, Cain Clark2, Kaixin Liang3, Xiaojiao Sun4,*

    International Journal of Mental Health Promotion, Vol.24, No.5, pp. 759-769, 2022, DOI:10.32604/ijmhp.2022.020152

    Abstract Numerous studies links movement activity (e.g., physical activity, sedentary behavior [SB], and sleep) with mental health or illness indicators during the COVID-19 pandemic; however, research has typically examined time-use behaviors independently, rather than considering daily activity as a 24-hour time-use composition. This cross-sectional study aimed to use compositional isotemporal analysis to estimate the association between reallocation of time-use behaviors and depression symptoms in young adults in China. Participants (n = 1475; 68.0% of female; 20.7 [1.60] years) reported their time spent in moderate to vigorous physical activity (MVPA), light physical activity (LPA), SB, and sleep. Replacing SB with sleep, LPA,… More >

  • Open Access


    Depression, Anxiety, and Behavioural Changes during the COVID-19 Pandemic among Medical and Nursing Students

    Siti Roshaidai Mohd Arifin1,*, Siti Mardhiah Saiful Azmi2, Khadijah Hasanah Abang Abdullah3, Nurul Ain Hidayah Abas4, Rohayah Husain5, Edre M. Aidid6, Karimah Hanim Abd Aziz6, Ramli Musa7, Fathima Begum Syed Mohideen3, Asma Perveen4, Khairi Che Mat5, Izazol Idris8

    International Journal of Mental Health Promotion, Vol.24, No.5, pp. 749-757, 2022, DOI:10.32604/ijmhp.2022.020972

    Abstract During the COVID-19 pandemic, medical and nursing students are faced with various challenges such as the need to attend online classes and juggling clinical postings under the new norm. This study aimed to assess the association between depression, anxiety, and behavioural changes among medical and nursing students during the COVID-19 pandemic. An online self-administered questionnaire was distributed between March 2021 and July 2021 to 292 undergraduates medical and nursing students in a higher education institute on the East Coast of Malaysia. The questionnaires consisted of four parts: sociodemographic data, the Generalised Anxiety Disorder-7, the Patient Health Questionnaire-9, and questions related… More >

  • Open Access


    Associations of Sport Participation with Depression and Anxiety among Chinese Minority Adolescents

    Zhiyan Xiao1, Scott Doig2, Haowen Wu3,*, Lei Wang4

    International Journal of Mental Health Promotion, Vol.24, No.5, pp. 739-747, 2022, DOI:10.32604/ijmhp.2022.019395

    Abstract This study aimed to explore associations of sport participation with anxiety and depressive symptoms among Chinese minority adolescents. A cross-sectional study was conducted among Chinese adolescents in Tibet. A convenience sample method was used to select participants. Finally, 1452 students completed the survey and 1421 (52.10% girls, Grades 4–9, 13.46 ± 1.41 years old) adolescents met the inclusion criteria of analysis. Sociodemographic variables, sport participation, depression and anxiety were evaluated by self-reported questionnaires. Among 1421 participants, 80% of adolescents lived in rural area and more than four fifths of participants had siblings. The parent’s education level of participants was mostly… More >

  • Open Access


    An Automated and Real-time Approach of Depression Detection from Facial Micro-expressions

    Ghulam Gilanie1, Mahmood ul Hassan2, Mutyyba Asghar1, Ali Mustafa Qamar3,*, Hafeez Ullah4, Rehan Ullah Khan5, Nida Aslam6, Irfan Ullah Khan6

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2513-2528, 2022, DOI:10.32604/cmc.2022.028229

    Abstract Depression is a mental psychological disorder that may cause a physical disorder or lead to death. It is highly impactful on the social-economical life of a person; therefore, its effective and timely detection is needful. Despite speech and gait, facial expressions have valuable clues to depression. This study proposes a depression detection system based on facial expression analysis. Facial features have been used for depression detection using Support Vector Machine (SVM) and Convolutional Neural Network (CNN). We extracted micro-expressions using Facial Action Coding System (FACS) as Action Units (AUs) correlated with the sad, disgust, and contempt features for depression detection.… More >

  • Open Access


    Prevalence and Factors Associated with Depression, Anxiety and Stress in IBD Patients Undergoing Intravenous Biological Therapy during the COVID-19 Pandemic-Montenegro Experience

    Brigita Smolović1,2, Marija Đurović1, Miloš Lukić1, Marija Abramović2,3, Damir Muhović1,2,*

    International Journal of Mental Health Promotion, Vol.24, No.4, pp. 551-564, 2022, DOI:10.32604/ijmhp.2022.020347

    Abstract Throughout its duration, the coronavirus disease 2019 (COVID-19) pandemic has been affecting lives worldwide and has had a sizeable impact on mental health, particularly for those who already suffer from a chronic illnesses. Depression, Anxiety and Stress (DAS) are common psychiatric comorbidities in inflammatory bowel disease (IBD) patients. This study aims to determine the prevalence and risk factors for moderate and severe symptoms of DAS in IBD patients have been undergoing intravenous biological therapy (IvBTh) during the COVID-19 pandemic. The study was conducted between September 1st and November 30th, 2020 at the Clinical Center of Montenegro-IBD unit, where all patients… More >

  • Open Access


    Specific Types of Screen-Based Sedentary Time and Depressive Symptoms in Adolescents

    Shande Liu*

    International Journal of Mental Health Promotion, Vol.24, No.4, pp. 491-501, 2022, DOI:10.32604/ijmhp.2022.018542

    Abstract Purpose: Screen-based sedentary behavior (SSB) has been identified as risk factor for mental disorders in most of adolescents. However, there is little literature pertaining to the specific kinds of SSB and its connections with depressive symptoms in most of adolescents. In the present study, we are going to find out the connections between specific types of SSB and depressive symptoms in Chinese adolescents. Methods: A cross-sectional data based on 996 study participants of middle school students in Guangdong Province. SSB was evaluated by distributing the questionnaire of Health Behavior in School-aged Children, while depressive symptoms were evaluated using Chinese version… More >

  • Open Access


    Depression Detection on COVID 19 Tweets Using Chimp Optimization Algorithm

    R. Meena1,*, V. Thulasi Bai2

    Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1643-1658, 2022, DOI:10.32604/iasc.2022.025305

    Abstract The Covid-19 outbreak has an unprecedented effects on people's daily lives throughout the world, causing immense stress amongst individuals owing to enhanced psychological disorders like depression, stress, and anxiety. Researchers have used social media data to detect behaviour changes in individuals with depression, postpartum changes and stress detection since it reveals critical aspects of mental and emotional diseases. Considerable efforts have been made to examine the psychological health of people which have limited performance in accuracy and demand increased training time. To conquer such issues, this paper proposes an efficient depression detection framework named Improved Chimp Optimization Algorithm based Convolution… More >

  • Open Access


    Forecasting Mental Stress Using Machine Learning Algorithms

    Elias Hossain1, Abdulwahab Alazeb2,*, Naif Al Mudawi2, Sultan Almakdi2, Mohammed Alshehri2, M. Gazi Golam Faruque3, Wahidur Rahman3

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 4945-4966, 2022, DOI:10.32604/cmc.2022.027058

    Abstract Depression is a crippling affliction and affects millions of individuals around the world. In general, the physicians screen patients for mental health disorders on a regular basis and treat patients in collaboration with psychologists and other mental health experts, which results in lower costs and improved patient outcomes. However, this strategy can necessitate a lot of buy-in from a large number of people, as well as additional training and logistical considerations. Thus, utilizing the machine learning algorithms, patients with depression based on information generally present in a medical file were analyzed and predicted. The methodology of this proposed study is… More >

  • Open Access


    Decision Level Fusion Using Hybrid Classifier for Mental Disease Classification

    Maqsood Ahmad1,2, Noorhaniza Wahid1, Rahayu A Hamid1, Saima Sadiq2, Arif Mehmood3, Gyu Sang Choi4,*

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5041-5058, 2022, DOI:10.32604/cmc.2022.026077

    Abstract Mental health signifies the emotional, social, and psychological well-being of a person. It also affects the way of thinking, feeling, and situation handling of a person. Stable mental health helps in working with full potential in all stages of life from childhood to adulthood therefore it is of significant importance to find out the onset of the mental disease in order to maintain balance in life. Mental health problems are rising globally and constituting a burden on healthcare systems. Early diagnosis can help the professionals in the treatment that may lead to complications if they remain untreated. The machine learning… More >

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