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1. Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities

Author

Shaygan, Maryam, Meese, Collin, Li, Wanxin, Zhao, Xiaolong, and Nejad, Mark

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Traffic prediction plays a crucial role in alleviating traffic congestion which represents a critical problem globally, resulting in negative consequences such as lost hours of additional travel time and increased fuel consumption. Integrating emerging technologies into transportation systems provides opportunities for improving traffic prediction significantly and brings about new research problems. In order to lay the foundation for understanding the open research challenges in traffic prediction, this survey aims to provide a comprehensive overview of traffic prediction methodologies. Specifically, we focus on the recent advances and emerging research opportunities in Artificial Intelligence (AI)-based traffic prediction methods, due to their recent success and potential in traffic prediction, with an emphasis on multivariate traffic time series modeling. We first provide a list and explanation of the various data types and resources used in the literature. Next, the essential data preprocessing methods within the traffic prediction context are categorized, and the prediction methods and applications are subsequently summarized. Lastly, we present primary research challenges in traffic prediction and discuss some directions for future research., Comment: Published in Transportation Research Part C: Emerging Technologies (TR_C), Volume 145, 2022

Published
2023
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10. Global, regional, and national burden of low back pain, 1990–2020, its attributable risk factors, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021

Author

Ferreira, Manuela L, de Luca, Katie, Haile, Lydia M, Steinmetz, Jaimie D, Culbreth, Garland T, Cross, Marita, Kopec, Jacek A, Ferreira, Paulo H, Blyth, Fiona M, Buchbinder, Rachelle, Hartvigsen, Jan, Wu, Ai-Min, Safiri, Saeid, Woolf, Anthony D, Collins, Gary S, Ong, Kanyin Liane, Vollset, Stein Emil, Smith, Amanda E, Cruz, Jessica A, Fukutaki, Kai Glenn, Abate, Semagn Mekonnen, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdelalim, Ahmed, Abedi, Aidin, Abidi, Hassan, Adnani, Qorinah Estiningtyas Sakilah, Ahmadi, Ali, Akinyemi, Rufus Olusola, Alamer, Abayneh Tadesse, Alem, Adugnaw Zeleke, Alimohamadi, Yousef, Alshehri, Mansour Abdullah, Alshehri, Mohammed Mansour, Alzahrani, Hosam, Amini, Saeed, Amiri, Sohrab, Amu, Hubert, Andrei, Catalina Liliana, Andrei, Tudorel, Antony, Benny, Arabloo, Jalal, Arulappan, Judie, Arumugam, Ashokan, Ashraf, Tahira, Athari, Seyyed Shamsadin, Awoke, Nefsu, Azadnajafabad, Sina, Bärnighausen, Till Winfried, Barrero, Lope H, Barrow, Amadou, Barzegar, Akbar, Bearne, Lindsay M, Bensenor, Isabela M, Berhie, Alemshet Yirga, Bhandari, Bharti Bhandari, Bhojaraja, Vijayalakshmi S, Bijani, Ali, Bodicha, Belay Boda Abule, Bolla, Srinivasa Rao, Brazo-Sayavera, Javier, Briggs, Andrew M, Cao, Chao, Charalampous, Periklis, Chattu, Vijay Kumar, Cicuttini, Flavia M, Clarsen, Benjamin, Cuschieri, Sarah, Dadras, Omid, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Dehghan, Azizallah, Demie, Takele Gezahegn G, Denova-Gutiérrez, Edgar, Dewan, Syed Masudur Rahman, Dharmaratne, Samath Dhamminda, Dhimal, Mandira Lamichhane, Dhimal, Meghnath, Diaz, Daniel, Didehdar, Mojtaba, Digesa, Lankamo Ena, Diress, Mengistie, Do, Hoa Thi, Doan, Linh Phuong, Ekholuenetale, Michael, Elhadi, Muhammed, Eskandarieh, Sharareh, Faghani, Shahriar, Fares, Jawad, Fatehizadeh, Ali, Fetensa, Getahun, Filip, Irina, Fischer, Florian, Franklin, Richard Charles, Ganesan, Balasankar, Gemeda, Belete Negese Belete, Getachew, Motuma Erena, Ghashghaee, Ahmad, Gill, Tiffany K, Golechha, Mahaveer, Goleij, Pouya, Gupta, Bhawna, Hafezi-Nejad, Nima, Haj-Mirzaian, Arvin, Hamal, Pawan Kumar, Hanif, Asif, Harlianto, Netanja I, Hasani, Hamidreza, Hay, Simon I, Hebert, Jeffrey J, Heidari, Golnaz, Heidari, Mohammad, Heidari-Soureshjani, Reza, Hlongwa, Mbuzeleni Mbuzeleni, Hosseini, Mohammad-Salar, Hsiao, Alexander Kevin, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ilic, Irena M, Ilic, Milena D, Islam, Sheikh Mohammed Shariful, Janodia, Manthan Dilipkumar, Jha, Ravi Prakash, Jindal, Har Ashish, Jonas, Jost B, Kabito, Gebisa Guyasa, Kandel, Himal, Kaur, Rimple Jeet, Keshri, Vikash Ranjan, Khader, Yousef Saleh, Khan, Ejaz Ahmad, Khan, Md Jobair, Khan, Moien AB, Khayat Kashani, Hamid Reza, Khubchandani, Jagdish, Kim, Yun Jin, Kisa, Adnan, Klugarová, Jitka, Kolahi, Ali-Asghar, Koohestani, Hamid Reza, Koyanagi, Ai, Kumar, G Anil, Kumar, Narinder, Lallukka, Tea, Lasrado, Savita, Lee, Wei-Chen, Lee, Yo Han, Mahmoodpoor, Ata, Malagón-Rojas, Jeadran N, Malekpour, Mohammad-Reza, Malekzadeh, Reza, Malih, Narges, Mehndiratta, Man Mohan, Mehrabi Nasab, Entezar, Menezes, Ritesh G, Mentis, Alexios-Fotios A, Mesregah, Mohamed Kamal, Miller, Ted R, Mirza-Aghazadeh-Attari, Mohammad, Mobarakabadi, Maryam, Mohammad, Yousef, Mohammadi, Esmaeil, Mohammed, Shafiu, Mokdad, Ali H, Momtazmanesh, Sara, Monasta, Lorenzo, Moni, Mohammad Ali, Mostafavi, Ebrahim, Murray, Christopher J L, Nair, Tapas Sadasivan, Nazari, Javad, Nejadghaderi, Seyed Aria, Neupane, Subas, Neupane Kandel, Sandhya, Nguyen, Cuong Tat, Nowroozi, Ali, Okati-Aliabad, Hassan, Omer, Emad, Oulhaj, Abderrahim, Owolabi, Mayowa O, Panda-Jonas, Songhomitra, Pandey, Anamika, Park, Eun-Kee, Pawar, Shrikant, Pedersini, Paolo, Pereira, Jeevan, Peres, Mario F P, Petcu, Ionela-Roxana, Pourahmadi, Mohammadreza, Radfar, Amir, Rahimi-Dehgolan, Shahram, Rahimi-Movaghar, Vafa, Rahman, Mosiur, Rahmani, Amir Masoud, Rajai, Nazanin, Rao, Chythra R, Rashedi, Vahid, Rashidi, Mohammad-Mahdi, Ratan, Zubair Ahmed, Rawaf, David Laith, Rawaf, Salman, Renzaho, Andre M N, Rezaei, Negar, Rezaei, Zahed, Roever, Leonardo, Ruela, Guilherme de Andrade, Saddik, Basema, Sahebkar, Amirhossein, Salehi, Sana, Sanmarchi, Francesco, Sepanlou, Sadaf G, Shahabi, Saeed, Shahrokhi, Shayan, Shaker, Elaheh, Shamsi, MohammadBagher, Shannawaz, Mohammed, Sharma, Saurab, Shaygan, Maryam, Sheikhi, Rahim Ali, Shetty, Jeevan K, Shiri, Rahman, Shivalli, Siddharudha, Shobeiri, Parnian, Sibhat, Migbar Mekonnen, Singh, Ambrish, Singh, Jasvinder A, Slater, Helen, Solmi, Marco, Somayaji, Ranjani, Tan, Ker-Kan, Thapar, Rekha, Tohidast, Seyed Abolfazl, Valadan Tahbaz, Sahel, Valizadeh, Rohollah, Vasankari, Tommi Juhani, Venketasubramanian, Narayanaswamy, Vlassov, Vasily, Vo, Bay, Wang, Yuan-Pang, Wiangkham, Taweewat, Yadav, Lalit, Yadollahpour, Ali, Yahyazadeh Jabbari, Seyed Hossein, Yang, Lin, Yazdanpanah, Fereshteh, Yonemoto, Naohiro, Younis, Mustafa Z, Zare, Iman, Zarrintan, Armin, Zoladl, Mohammad, Vos, Theo, and March, Lyn M

Published
2023
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13. Health system performance in Iran: a systematic analysis for the Global Burden of Disease Study 2019

Author

Farzadfar, Farshad, Naghavi, Mohsen, Sepanlou, Sadaf G, Saeedi Moghaddam, Sahar, Dangel, William James, Davis Weaver, Nicole, Aminorroaya, Arya, Azadnajafabad, Sina, Koolaji, Sogol, Mohammadi, Esmaeil, Rezaei, Negar, Abbas, Jaffar, Abbasi, Behzad, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abbastabar, Hedayat, Abdoli, Amir, Abdollahi, Mohammad, Abdollahzade, Sina, Abolhassani, Hassan, Abrehdari-Tafreshi, Zahra, Aghababaei, Soodabeh, Ahadinezhad, Bahman, Ahmadi, Ali, Ahmadi, Sepideh, Ahmadieh, Hamid, Akbari, Mohammad Esmaeil, Alimohamadi, Yousef, Alipour, Vahid, Alizade, Hesam, Alvand, Saba, Amini, Saeed, Amiri, Sohrab, Anoushirvani, Ali Arash, Ansari, Fereshteh, Arabloo, Jalal, Arab-Zozani, Morteza, Aryan, Zahra, Aryannejad, Armin, Asadi-Aliabadi, Mehran, Asadi-Pooya, Ali A, Asemi, Zatollah, Asgari, Samaneh, Asgary, Saeed, Asghari, Babak, Asghari Jafarabadi, Mohammad, Ashrafi, Elham, Atafar, Zahra, Athari, Seyyed Shamsadin, Avan, Abolfazl, Azadmehr, Abbas, Azami, Hiva, Azangou-Khyavy, Mohammadreza, Azari, Samad, Azari Jafari, Amirhossein, Azarian, Ghasem, Badirzadeh, Alireza, Bahrami, Elham, Bahrami, Mohammad Amin, Barati, Nastaran, Bayati, Mohsen, Bazmandegan, Gholamreza, Behzadifar, Masoud, Bijani, Ali, Bohlouli, Somayeh, Borzouei, Shiva, Daneshpajouhnejad, Parnaz, Dargahi, Abdollah, Daryani, Ahmad, Davoodi Lahijan, Jalal, Didehdar, Mojtaba, Djalalinia, Shirin, Doaei, Saeid, Dorostkar, Fariba, Doshmangir, Leila, Edraki, Mohammadreza, Emami, Amir, Eshrati, Babak, Eskandarieh, Sharareh, Esmaeilzadeh, Firooz, Faghani, Shahriar, Fakhar, Mahdi, Farpour, Hamid Reza, Farrokhpour, Hossein, Fasihi Harandi, Majid, Fereidouni, Mohammad, Foroutan, Masoud, Ghafourifard, Mansour, Ghamari, Azin, Ghamari, Seyyed-Hadi, Ghashghaee, Ahmad, Ghassemi, Fariba, Gholami, Ali, Gholamian, Asadollah, Gholizadeh, Abdolmajid, Goharinezhad, Salime, Goleij, Pouya, Hadei, Mostafa, Hafezi-Nejad, Nima, Hariri, Sanam, Hasanpoor, Edris, Hassanian-Moghaddam, Hossein, Hassanipour, Soheil, Hassankhani, Hadi, Heidari, Mohammad, Heidari-Soureshjani, Reza, Hoseini, Mohammad, Hosseini, Mohammad-Salar, Hosseini, Mostafa, Hosseini, Seyed Kianoosh, Hosseinzadeh, Ali, Hosseinzadeh, Mehdi, Hoveidamanesh, Soodabeh, Iranpour, Pooya, Irvani, Seyed Sina Naghibi, Jaafari, Jalil, Jabbarinejad, Roxana, Jafarinia, Morteza, Jafari-Vayghan, Hamed, Jahani, Mohammad Ali, Jahanmehr, Nader, Jalili, Mahsa, Janghorban, Roksana, Javanmardi, Fatemeh, Joukar, Farahnaz, Kabir, Ali, Kalankesh, Leila R, Kalhor, Rohollah, Kamiab, Zahra, Kamyari, Naser, Karami Matin, Behzad, Karimi, Amirali, Karimi, Salah Eddin, Kazemi Karyani, Ali, Keikavoosi-Arani, Leila, Keramati, Maryam, Keshavarz, Pedram, Keykhaei, Mohammad, Khaleghi, Ali, Khammarnia, Mohammad, Khanali, Javad, Khayamzadeh, Maryam, Khosravi, Sajad, Khosravifar, Mina, Khosravizadeh, Omid, Kianipour, Neda, Kolahi, Ali-Asghar, Maali, Amirhosein, Mahdavi, Mokhtar Mahdavi, Maleki, Afshin, Malekpour, Mohammad-Reza, Mansori, Kamyar, Mansouri, Borhan, Mansournia, Mohammad Ali, Maracy, Mohammad Reza, Marjani, Abdoljalal, Masoudi, Sahar, Masoumi, Seyedeh Zahra, Masoumi-Asl, Hossein, Mayeli, Mahsa, Mehrabi Nasab, Entezar, Mehri, Fereshteh, Miri, Mohammad, Mirmoeeni, Seyyedmohammadsadeq, Mirzaei, Hamed, Mirzaei, Maryam, Mirzaei, Roya, Mohamadkhani, Ashraf, Mohammadi, Heidar, Mohammadi, Seyyede Momeneh, Mohammadi, Shadieh, Mohammadian-Hafshejani, Abdollah, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohseni, Mohammad, Mokari, Amin, Momtazmanesh, Sara, Moradi, Abdolvahab, Moradi, Masoud, Moradi, Yousef, Moradi-Joo, Mohammad, Moradpour, Farhad, Moradzadeh, Maliheh, Moradzadeh, Rahmatollah, Mosapour, Abbas, Moslehi, Shandiz, Mouodi, Simin, Naderi, Mehdi, Naderifar, Homa, Najafpour, Zhila, Nazari, Javad, Nejadghaderi, Seyed Aria, Nemati-Anaraki, Leila, Nikpoor, Amin Reza, Nojomi, Marzieh, Noori, Maryam, Nouraei, Hasti, Nowroozi, Ali, Oladnabi, Morteza, Pashazadeh Kan, Fatemeh, Pirestani, Majid, Pirsaheb, Meghdad, Pourahmadi, Mohammadreza, Pourchamani, Hadis, Pourjafar, Hadi, Pourshams, Akram, Rabiee, Mohammad, Rabiee, Navid, Rafiei, Alireza, Rafiei, Sima, Rahim, Fakher, Rahmani, Amir Masoud, Rashedi, Sina, Rashedi, Vahid, Rashidi, Amirfarzan, Rashidi, Mahsa, Rashidi, Mohammad-Mahdi, Ravangard, Ramin, Rawassizadeh, Reza, Razeghian-Jahromi, Iman, Razeghinia, Mohammad Sadegh, Redford, Sofia B, Rezaei, Maryam, Rezaei, Nazila, Rezaei, Nima, Rezaei, Saeid, Rezaei Aliabadi, Hossein, Rezaeian, Mohsen, Rezai, Mohammad Sadegh, Rezapour, Aziz, Rezazadeh, Hossein, Rezazadeh-Khadem, Sahba, Rostamian, Morteza, Sadeghi, Ehsan, Sadeghi, Erfan, Sadeghi, Masoumeh, Sadeghian, Reihaneh, Sadeghian, Saeid, Safarpour, Hamid, Safdarian, Mahdi, Safi, Sare, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Salahi, Sarvenaz, Salamati, Payman, Samadi Kafil, Hossein, Sarikhani, Yaser, Sarkhosh, Maryam, Sarveazad, Arash, Seyed-Nezhad, Maryam, Shafaat, Omid, Shaghaghi, Zahra, Shahabi, Saeed, Shahin, Sarvenaz, Shaker, Elaheh, Shakiba, Saeed, Shamsi, MohammadBagher, Shamsoddin, Erfan, Sharafi, Kiomars, Sharifian, Sakineh, Shaygan, Maryam, Sheikhtaheri, Abbas, Shiani, Amir, Shirbandi, Kiarash, Shirkoohi, Reza, Shobeiri, Parnian, Shokri, Azad, Siabani, Soraya, Sima, Ali Reza, Sofi-Mahmudi, Ahmad, Soheili, Amin, Soltani, Shahin, Soltani-Zangbar, Mohammad Sadegh, Soofi, Moslem, Tabaeian, Seidamir Pasha, Tabary, Mohammadreza, Tahamtan, Alireza, Taheri, Majid, Taherkhani, Amir, Tajdini, Masih, Tavolinejad, Hamed, Tehrani-Banihashemi, Arash, Tiyuri, Amir, Tohidast, Seyed Abolfazl, Vakilian, Alireza, Valadan Tahbaz, Sahel, Vo, Bay, Yahyazadeh Jabbari, Seyed Hossein, Yazdi-Feyzabadi, Vahid, Yousefi, Zabihollah, Yousefinezhadi, Taraneh, Zahir, Mazyar, Zahirian Moghadam, Telma, Zamanian, Maryam, Zandian, Hamed, Zangeneh, Alireza, Zarafshan, Hadi, Zare, Fariba, Zare Dehnavi, Ali, Zarea, Kourosh, Zarei, Ahmad, Zareshahrabadi, Zahra, Ziapour, Arash, Zoghi, Sina, Sarrafzadegan, Nizal, Rahimi-Movaghar, Vafa, Jamshidi, Hamid Reza, Mokdad, Ali H, Hay, Simon I, Murray, Christopher J L, Khosravi, Ardeshir, Moradi-Lakeh, Maziar, Asadi-Lari, Mohsen, Malekzadeh, Reza, and Larijani, Bagher

Published
2022
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17. Gender Differences in Suicidal Ideation during the COVID-19 Pandemic among Iranian Adolescents and its Contributing Factors.

Author

Shaygan, Maryam, Salari, Saghar, Jaberi, Azita, and Shaygan, Sara

Subjects
*CROSS-sectional method, *SUICIDAL ideation, *RESEARCH funding, *SEX distribution, *MULTIPLE regression analysis, *STATISTICAL sampling, *DESCRIPTIVE statistics, *MULTIVARIATE analysis, *ODDS ratio, *COVID-19 pandemic, *PSYCHOSOCIAL factors
Abstract

Suicidal thoughts in adolescents are common. The COVID-19 pandemic may have further led to an increase. This cross-sectional random sample "online" survey study was conducted in 2021 on 703 adolescents in Iran using the Beck Scale for Suicidal Ideation. Univariate, bivariate, and multinomial regression analysis, and Odds Ratio (OR) were reported. The prevalence of suicidal ideation in this sample was 28% and with higher rates in female participants (p = 0.01). It was more prevalent in 16 to 21 years old participants than adolescents with age of 16 and lower. Participants who were academically successful had less suicidal thoughts. Considering the high rate of suicidal ideation among adolescents, it is an emergency that requires effective intervention. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Explaining the Components of Resilience in Patients with Chronic Pain: A Qualitative Content Analysis.

Author

Haghshenas, Hajar, Shaygan, Maryam, Pasyar, Nilofar, and Rambod, Masoume

Subjects
*ADAPTABILITY (Personality), *MEDICAL personnel, *CHRONIC pain, *EMOTION regulation, *PROTECTIVE factors
Abstract

Background: Resilience is a psychological trait and a protective factor that plays a vital role in coping with Chronic Pain (CP). Despite its importance, research has yet to fully clarify the concept and components of resilience in patients with CP. Accordingly, the present study aims to explain the components of resilience in patients with CP. Materials and Methods: The current qualitative study used a conventional content analysis methodology. The research population included all patients with CP who were referred to clinics affiliated with Shiraz University of Medical Sciences (south of Iran) from August 2021 to August 2022. Participants were selected using the purposive sampling method. In depth semi-structured interviews were conducted with 20 participants to collect information. Data analysis was conducted using MAXQDA 2020 software in conjunction with data collection efforts. Results: Generally, in the current study, 30 sub sub-categories, 11 sub-categories, and five main categories were extracted as components of resilience in patients with CP. The main categories of resilience against CP included the following: 1. emotional self regulation, 2. psychological flexibility, 3. self care, 4. appeal to religion--spirituality, and 5. internal resources and individual competencies. Conclusions: The present study highlights the different physical, mental, and religious-spiritual strategies that may contribute to resilience against pain. The resilience components identified in this study provide a foundation for healthcare professionals, particularly nurses, to design and implement diverse pain management strategies that enhance adjustment to CP conditions. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Effect of Pain Management Training on Pain Intensity and Depression in Patients with Non-Specific Chronic Back Pain/Efecto del entrenamiento con multimedia sobre la intensidad del dolor y la depresión en pacientes con dolor de espalda crónico no especifico/Efeito do treinamento com multimidia sobre a intensidade da dor e a depressao em pacientes com dor nas costas cronico nao especifico

Author

Shaygan, Maryam, Jaberi, Azita, Firozian, Roghayyeh, Yazdani, Zahra, and Zarifsanaiey, Nahid

Published
2022
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28. Male Nursing Students' Perception of Gender Barriers in Nursing Curricula in an Iranian University of Medical Sciences/Percepcion de los estudiantes varones de enfermeria sobre las barreras de genero en los planes de estudio de Enfermeria en una universidad irani/Percepcao dos estudantes de enfermagem masculinos sobre as barreiras de genero nos planos de estudo de Enfermagem numa universidade iraniana

Author

Hosseini, Fahimeh Alsadat, Parvan, Kobra, Shaygan, Maryam, and Thomson, Brian

Published
2022
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29. Car Ownership Models in Iran: A Review of Methods and Determinants

Author

Shaygan Maryam, Mamdoohi Amirreza, and Masoumi Houshmand E.

Subjects
urban transportation planning, car ownership models, the middle east, iran, Transportation and communication, K4011-4343
Abstract

The achievement of sustainable transportation and the desire to reduce car ownership are important aspects of urban planning, especially in developing countries. This paper presents an overview of researches and studies conducted on car ownership to find the knowledge gap and neglected modelling methods that should be employed in the further researches in Iran as one of the Middle East countries. It is found that car ownership models have under gone modification and improvement from regression models towards discrete choice models, although more improvement is necessary and underway. Lack of reliable aggregate and disaggregate data regarding public transport, land use, behavioural and socioeconomic variables particularly for small cities is prominent. To fill the gap, more descriptive and analytical researches and more complex modelling methods and variables need be delved.

Published
2017
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35. Temporal relationships between changes in depression and suicidal ideation: A mediation analysis in a randomized double‐blinded clinical trial.

Author

Shaygan, Maryam, Hosseini, Fahimeh Alsadat, and Negad, Soheila Sheybani

Subjects
*SUICIDAL ideation, *TREATMENT effectiveness, *RANDOMIZED controlled trials, *PEARSON correlation (Statistics), *MENTAL depression, *DESCRIPTIVE statistics, *FACTOR analysis, *RESEARCH funding, *COMBINED modality therapy, *STATISTICAL models, *MEDICAL needs assessment
Abstract

Objectives: There is a considerable debate regarding the possible dependence between depression and suicidal ideation treatments. The present study used a novel mediation approach in a randomized comparison of pharmacotherapy and combined therapy to explore whether depressive symptoms mediate the association between treatment and suicidal ideation and whether it depends on the treatment condition. Design: This study is a randomized, controlled, parallel group (1:1), clinical trial using a novel mediation approach for longitudinal data. Latent difference score modelling was utilized to investigate whether changes in depressive symptoms drive subsequent changes in suicide ideation. Method: Participants were 94 depressive suicidal outpatients who were assessed regarding depressive symptoms and suicidal ideation over the course of an experiment (0–2‐7 months). Direct and indirect associations between (change in) depressive symptoms and (change in) suicidal ideation were explored using Pearson's correlations and latent difference score model. Results: The results showed that depression treatment affects not only suicidal ideation directly but also its influence on suicidal ideation occurs via improvement in depressive symptoms. It was found a more significant effect of combining pharmacotherapy and PPT (in comparison with the pharmacotherapy alone) on the early and late improvements of suicidal ideation (Δ 0–2 and Δ 2–7) via the early improvement of depressive symptoms (Δ 0–2). Conclusions: The findings indicate that changes in depressive symptoms preceded changes in suicidal ideation. Our results highlighted that improving depressive symptoms could be a primary target in treating patients with depression experiencing suicidal thoughts. [ABSTRACT FROM AUTHOR]

Published
2023
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38. The effect of interactive virtual psycho-educational interventions via social networks on self-efficacy and anxiety among patients infected with COVID-19 and living in home quarantine: A randomized control trial.

Author

Shaygan, Maryam, Yazdani, Zahra, and Rambod, Masoume

Subjects
*PSYCHOEDUCATION, *COVID-19, *QUARANTINE, *SOCIAL networks, *MEDICAL personnel
Abstract

Background: Psycho-educational interventions might play a crucial role in the management of diseases. This study was conducted to determine the effect of psycho-educational interventions via social networks on self-efficacy and anxiety among Coronavirus Disease 2019 (COVID-19) patients in home quarantine. Materials and Methods: This randomized clinical trial was conducted on 72 COVID-19 patients, in Shiraz, Iran, in 2020. The patients were randomly assigned to an intervention and control group. Patients in the intervention group underwent psycho-educational interventions daily for 14 days. The data were collected using the Strategies Used by People to Promote Health (SUPPH) questionnaire and the State-Trait Anxiety Inventory (STAI) before and 2 weeks after the intervention. Results: After the intervention, the mean score of SUPPH was mean = 120.75 (16.56) and mean(SD) 111.27 (14.40) in the intervention and control groups, respectively. Moreover, after the intervention, the mean score of state and trait anxiety were 34.69 (10.75) and 38.31 (8.44) in the intervention group, and mean(SD) 45.75 (13.01) and 43.50 (8.44) in the control group, respectively. After the intervention, a difference was observed between the groups concerning the mean score of SUPPH (t 70 = 2.58; p = 0.01), state anxiety (F 1 = 16.52; p < 0.001), and trait anxiety (t 70 = −2.49; p = 0.01). Conclusions: Considering the effectiveness of psycho-educational interventions in self-efficacy and anxiety, healthcare providers are recommended to use these interventions in COVID-19 patients. [ABSTRACT FROM AUTHOR]

Published
2023
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41. Chronic Pain in Adolescents: The Predictive Role of Emotional Intelligence, Self-Esteem and Parenting Style

Author

Shaygan, Maryam and Karami, Zainab

Subjects
Parenting style, Emotional intelligence, Self-esteem, Original Article, Chronic pain, Adolescents
Abstract

Background: Pediatric chronic pain is prevalent and disabling. The present study aimed to assess the prevalence of chronic pain among adolescents in Shiraz, Iran. We also compared emotional intelligence, self-esteem and parenting style between adolescents with chronic pain and healthy adolescents. Finally, we examined the predicting role of these variables regarding chronic pain in adolescents. Methods: This cross-sectional study, from January to June 2018, was conducted on 734 adolescents in Shiraz. A clustering sampling method was used. Adolescents with chronic pain were identified by affirmative answers to screening questions based on the International Classification of Diseases 11th Revision (ICD-11) criteria. Participants completed three validated self-report questionnaires: Trait Emotional Intelligence Questionnaire, Rosenberg self-esteem scale and Baumrind parenting style questionnaire. The data were analyzed through SPSS v.22 software using Mann-Whitney and binary logistic regression tests. P

Published
2020

44. Depression and work–family conflict mediating the effects of job stress on chronic pain: a structural equation modelling approach.

Author

Shaygan, Maryam and Yazdanpanah, Maryam

Subjects
CHRONIC pain, PETROLEUM, GASES, CONFIDENCE intervals, JOB stress, CROSS-sectional method, WORK, WORK-life balance, FAMILY conflict, BLUE collar workers, RISK assessment, MENTAL depression, PSYCHOSOCIAL factors, DESCRIPTIVE statistics, EXPERIENTIAL learning, STRESS management, MINERAL industries, DISEASE risk factors
Abstract

Objectives. Most research studying the relationship between job stress and chronic pain has relied on physiological responses. This study aims to determine psychosocial mechanisms by which job stress can influence chronic pain in workers. Methods. This cross-sectional study was carried out among 793 workers in gas and oil platforms or petroleum refinery plants in southern Iran. Structural equation modelling was applied to evaluate direct, indirect and total effects of job stress on chronic pain in the presence of mediating variables (work–family conflict and depression). Results. Job stress (B = 0.024, β = 0.477), 95% confidence interval (CI) [0.016, 0.032], work–family conflict (B = 0.031, β = 0.446), 95% CI [0.023, 0.038], depression (B = 0.046, β = 0.224), 95% CI [0.028, 0.064] and work experience (B = 0.083, β = 0.380), 95% CI [0.065, 0.101] had significant direct effects on chronic pain. Indirect paths from job stress to chronic pain via depression (B = 0.002, β = 0.042), 95% CI [0.001, 0.003] and work–family conflict (B = 0.004, β = 0.085), 95% CI [0.003, 0.006] were significant. Conclusions. Given that depression and work–family conflict mediate the effects of job stress on pain, stress management programmes for workers might include various strategies to reduce negative thoughts as well as cognitive biases and minimize role conflicts between work and private life. [ABSTRACT FROM AUTHOR]

Published
2022
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46. The effect of combined sertraline and positive psychotherapy on hopelessness and suicidal ideation among patients with major depressive disorder: a randomized controlled trial.

Author

Shaygan, Maryam, Sheybani Negad, Soheila, and Motazedian, Somayeh

Subjects
*POSITIVE psychology, *ANALYSIS of variance, *SUICIDAL ideation, *RANDOMIZED controlled trials, *TREATMENT effectiveness, *DESPAIR, *MENTAL depression, *COMBINED modality therapy, *DECISION making in clinical medicine, *SERTRALINE, *PSYCHOTHERAPY, *PHARMACODYNAMICS
Abstract

The present study was examined the effect of a combined treatment (sertraline and positive psychotherapy) compared to the pharmacotherapy (sertraline) alone on hopelessness and suicidal ideation of patients with major depressive disorder (MDD). Patients were 100 depressed outpatients treated with either combined treatment (n = 50) or pharmacotherapy alone (n = 50). Measures were taken multiple times over the course of treatment (at baseline, 2, and 7 months later). The results of the repeated measures ANOVAs showed that pharmacotherapy alone and combined treatment had beneficial effects with a superior effect of combined treatment on hopelessness and suicidal ideation. Our results suggest that pharmacotherapy alone may not be sufficient to protect patients with MDD from suicidal ideation, especially in the early phase of the treatment with sertraline. The present results suggest that combination of pharmacotherapy and psychotherapy could be an effective option for treating major depressive disorder in both the short and long term. [ABSTRACT FROM AUTHOR]

Published
2022
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47. Effect of Combining Adapted Physical and Artistic Activities on Feeling of Loneliness and Aggression in the Elderly Living in Nursing Homes.

Author

Shaygan, Maryam, Hosseini, Fahimeh Alsadat, Nasab, Noorollah Zahedian, and Bustani, Akram

Subjects
LONELINESS, PHYSICAL activity, HEALTH of older people, NURSING care facilities, AGGRESSION (Psychology)
Abstract

Objectives Feeling of loneliness and aggression are common problems in the elderly living in nursing homes that can have serious psychological and physical consequences for them. Due to the growing number of the elderly population, it is essential to use practical strategies for reducing their isolation and aggression. This study aims to assess the effect of combining adapted physical and artistic activities on feeling of loneliness and aggression in the elderly living in nursing homes. Methods & Materials In this quasi-experimental study, 68 older residents of a nursing home in Shiraz, Iran with feeling of loneliness and aggression and without acute psychological and physical problems participated, who were selected using a convenience sampling method and then assigned into two groups of control and intervention by block randomization method. The control group received routine care, while the intervention group participated in 16 sessions of adapted physical and artistic activities. Data were collected using the UCLA Loneliness Scale and Buss-Perry Aggression Questionnaire before and immediately after the intervention. Data were analyzed using descriptive (Mean±SD, and frequency) and inferential statistics (Chi-square test, Mann-Whitney U test, and Wilcoxon test) in SPSS software, version 22. Results The participants' mean age was 70.93±7.99 years in total, and 69.1% were women. The scores of loneliness and aggression significantly reduced after the intervention in the intervention group (P<0.001). The scores of loneliness (P<0.001) and aggression (P=0.001) in the intervention group were significantly lower than in the control group. Conclusion Feeling of loneliness and the level of aggression in the elderly living in nursing homes can be reduced significantly by combining adapted physical and artistic activities. This practical and costeffective intervention can be used to reduce feeling of loneliness and aggression in the elderly living in nursing homes. [ABSTRACT FROM AUTHOR]

Published
2022
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