Covid-19, 2019 yılı sonundan itibaren pandemi olarak ortaya çıkmış ve bireylerin ruh sağlığını etkileyerek kaygıya, korkuya ve umutsuzluğa neden olmuştur. Bu araştırmada, Covid-19 bağlantılı kaygının bireylerin pozitif ve negatif duyguları ile ilişkisinin ortaya konulması amaçlanmaktadır.
Çevrimiçi ortamda yürütülen bu kesitsel araştırmaya, 31.3 (SS=10.20) yaş ortalamasına sahip 3121 kişi dahil edilmiştir. Veriler, Sosyodemografik Bilgi Formu, Salgın Hastalık Kaygı Ölçeği ve Pozitif ve Negatif Duygu Ölçeği aracılığıyla toplanmıştır.
Bu çalışmada, salgın hastalık kaygısı ile pozitif duygular arasında negatif yönde anlamlı bir ilişki saptanmıştır (r=-0.057; p<.001); salgın hastalık kaygısı ile negatif duygular arasında ise pozitif yönde anlamlı bir ilişki tespit edilmiştir (r=0.571; p<.001). Ekonomik kaygı ile negatif duygular arasında pozitif yönde anlamlı bir ilişki gösterilmiştir (r=-0.335; p<.001). Karantina kaygısı ile pozitif duygular arasında negatif yönde anlamlı bir ilişki saptanmıştır (r=-0.044; p<.05). Karantina kaygısı ile negatif duygular arasında pozitif yönde anlamlı bir ilişki tespit edilmiştir (r=0.534; p<.001). Sosyal yaşam kaygısı ile negatif duygular arasında ise pozitif yönde anlamlı bir ilişki gösterilmiştir (r=0.489; p<.001). Bu araştırmanın sonuçları pozitif ve negatif duygular ile salgın hastalık kaygısı, ekonomik kaygılar, karantina kaygısı, sosyal yaşam kaygısının ilişkisine işaret etmektedir.
Bu ilişki kaygıların duyguları etkilemesi şeklinde olabileceği gibi, duyguların kaygı düzeyini etkilemesi şeklinde de olabilir. Bu nedenle Covid-19 gibi salgın hastalık süreçlerinde kaygıyı yatıştıracak önlemler alınırken mutlaka pozitif ve negatif duygular da incelenmeli ve onarıcı önlemler alınmalıdır.
Alakuş, T. B., & Türkoğlu, İ. (2019). Feature selection with sequential forward selection algorithm from emotion estimation based on EEG signals. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 23(6), 1096-1105. https://doi.org/10.16984/saufenbilder.501799
Barber, S. J., & Kim, H. (2021). COVID-19 Worries and Behavior Changes in Older and Younger Men and Women. The journals of gerontology. Series B, Psychological sciences and social sciences, 76(2), e17–e23. https://doi.org/10.1093/geronb/gbaa068
Bardeen, J. R., Tull, M. T., Stevens, E. N., & Gratz, K. L. (2014). Exploring the relationship between positive and negative emotional avoidance and anxiety symptom severity: the moderating role of attentional control. Journal of behavior therapy and experimental psychiatry, 45(3), 415–420. https://doi.org/10.1016/j.jbtep.2014.04.006
Bayrak, N. G., Uzun, S., & Kulakaç, N. (2021). The relationship between anxiety levels and anger expression styles of nurses during COVID-19 pandemic. Perspectives in psychiatric care, 57(4), 1829–1837. https://doi.org/10.1111/ppc.12756
Both, L. M., Zoratto, G., Calegaro, V. C., Ramos-Lima, L. F., Negretto, B. L., Hauck, S., & Freitas, L. H. M. (2021). COVID-19 pandemic and social distancing: economic, psychological, family, and technological effects. Trends Psychiatry Psychother, 43 (2), https://doi.org/10.47626/2237-6089-2020-0085
Briguglio, M., Giorgino, R., Dell'Osso, B., Cesari, M., Porta, M., Lattanzio, F., Banfi, G., & Peretti, G. M. (2020). Consequences for the Elderly After COVID-19 Isolation: FEaR (Frail Elderly amid Restrictions). Frontiers in Psychology, 11. https://doi.org/ARTN 565052 10.3389/fpsyg.2020.565052
Bjelland, I., Krokstad, S., Mykletun, A., Dahl, A. A., Tell, G. S., & Tambs, K. (2008). Does a higher educational level protect against anxiety and depression? The HUNT study. Social science & medicine, 66(6), 1334-1345. https://doi.org/10.1016/j.socscimed.2007.12.019
Carpenter, R. W., Stanton, K., Emery, N. N., & Zimmerman, M. (2020). Positive and Negative Activation in the Mood Disorder Questionnaire: Associations With Psychopathology and Emotion Dysregulation in a Clinical Sample. Assessment, 27(2), 219–231. https://doi.org/10.1177/1073191119851574
Chen, S., Cheng, Z., & Wu, J. (2020). Risk factors for adolescents' mental health during the COVID-19 pandemic: a comparison between Wuhan and other urban areas in China. Globalization and health, 16(1), 96. https://doi.org/10.1186/s12992-020-00627-7
Chin, B., Murphy, M.L., Janicki-Deverts, D., & Cohen, S. (2017). Marital status as a predictor of diurnal salivary cortisol levels and slopes in a community sample of healthy adults. Psychoneuroendocrinology, 78,68–75. https://doi.org/10.1016/j.psyneuen. 2017.01.016
Cohen, S., & Wills, T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98(2), 310–357.https://www.ncbi.nlm.nih.gov/pubmed/3901065
Doğan, Y., & Özdevecioğlu, M. (2009). pozitif ve negatif duygusalliğin çalişanlarin performanslari üzerindeki etkisi. Sosyal Ekonomik Araştırmalar Dergisi, 9(18), 165-190.
Fuller, T. D., Edwards, J. N., Vorakitphokatorn, S., & Sermsri, S. (1996). Chronic stress and psychological well-being: evidence from Thailand on household crowding. Soc Sci Med, 42(2), 265-280. https://doi.org/10.1016/0277-9536(95)00089-5
Fortaleza, C., Guimarães, R. B., de Almeida, G. B., Pronunciate, M., & Ferreira, C. P. (2020). Taking the inner route: spatial and demographic factors affecting vulnerability to COVID-19 among 604 cities from inner São Paulo State, Brazil. Epidemiology and infection, 148, e118. https://doi.org/10.1017/S095026882000134X
Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., Wang, Y., Fu, H., & Dai, J. (2020). Mental health problems and social media exposure during COVID-19 outbreak. PLoS One, 15(4), e0231924. https://doi.org/10.1371/journal.pone.0231924
Gençöz, T. (2000). Pozitif ve Negatif Duygu Ölçeği: Geçerlik ve güvenirlik çalışması. Türk Psikoloji Dergisi, 15(46), 19-26.
Gerrig, R. J., Zimbardo, P. G., Campbell, A. J., Cumming, S. R., & Wilkes, F. J. (2012). Psychology and life, 20.
Hızlı-Sayar, G., Ünübol, H., Tarhan, N. (2020a). COVID-19 Türkiye Araştırması Sonuç Raporu (Korkular, Kaygılar, Olgunlaşma). Üsküdar Üniversitesi Yayınları-28.
Hızlı-Sayar, G., Ünübol, H., Tutgun-Ünal, A., & Tarhan, N. (2020b). Salgın Hastalık Kaygı Ölçeği: Geçerlilik ve Güvenirlik Çalışması. Psikiyatride Güncel Yaklaşımlar, 12, (1), 382-397. https://doi.org/10.18863/pgy.803145
Jiao, W. Y., Wang, L. N., Liu, J., Fang, S. F., Jiao, F. Y., Pettoello-Mantovani, M., & Somekh, E. (2020). Behavioral and Emotional Disorders in Children during the COVID-19 Epidemic. The Journal of pediatrics, 221, 264–266.e1.https://doi.org/10.1016/j.jpeds.2020.03.013
Kahler, C. W., Daughters, S. B., Leventhal, A. M., Rogers, M. L., Clark, M. A., Colby, S. M., Boergers, J., Ramsey, S. E., Abrams, D. B., Niaura, R., & Buka, S. L. (2009). Personality, psychiatric disorders, and smoking in middle-aged adults. Nicotine Tob Res, 11(7), 833-841. https://doi.org/10.1093/ntr/ntp073
Kiecolt-Glaser, J. K., & Newton, T. L. (2001). Marriage and health: his and hers. Psychological bulletin, 127(4), 472–503. https://doi.org/10.1037/0033-2909.127.4.472
Klaser, K., Thompson, E. J., Nguyen, L. H., Sudre, C. H., Antonelli, M., Murray, B., Canas, L. S., Molteni, E., Graham, M. S., Kerfoot, E., Chen, L., Deng, J., May, A., Hu, C., Guest, A., Selvachandran, S., Drew, D. A., Modat, M., Chan, A. T.,
Wolf, J., Spector, T. D., Hammers, A., Duncan, E. L., Ourselin, S., & Steves, C. J. (2021). Anxiety and depression symptoms after COVID-19 infection: results from the COVID Symptom Study app. medRxiv. https://doi.org/10.1101/2021.07.07.21260137
Kotov, R., Gamez, W., Schmidt, F., & Watson, D. (2010). Linking “big” personality traits to anxiety, depressive, and substance use disorders: a meta-analysis. Psychological bulletin, 136(5), 768. https://doi.org/10.1037/a0020327
Kowal, M., Coll-Martin, T., Ikizer, G., Rasmussen, J., Eichel, K., Studzinska, A., Koszalkowska, K., Karwowski, M., Najmussaqib, A., Pankowski, D., Lieberoth, A., & Ahmed, O. (2020). Who is the Most Stressed During the COVID-19 Pandemic? Data From 26 Countries and Areas. Appl Psychol Health Well Being, 12(4), 946-966. https://doi.org/10.1111/aphw.12234
Lacroix, V. (2012). All about Pandemics (epidemic of Infectious Disease). University Publications.
Lam, K., Lu, A. D., Shi, Y., & Covinsky, K. E. (2020). Assessing Telemedicine Unreadiness Among Older Adults in the United States During the COVID-19 Pandemic. Jama Internal Medicine, 180(10), 1389-1391. https://doi.org/10.1001/jamainternmed.2020.2671
Li, S., Wang, Y., Xue, J., Zhao, N., & Zhu, T. (2020). The Impact of COVID-19 Epidemic Declaration on Psychological Consequences: A Study on Active Weibo Users. International journal of environmental research and public health, 17(6), 2032. https://doi.org/10.3390/ijerph17062032
Mazza, C., Ricci, E., Biondi, S., Colasanti, M., Ferracuti, S., Napoli, C., & Roma, P. (2020). A nationwide survey of psychological distress among Italian people during the COVID-19 pandemic: immediate psychological responses and associated factors. International journal of environmental research and public health, 17(9), 3165. https://doi.org/10.3390/ijerph17093165
Miech, R. A., & Shanahan, M. J. (2000). Socioeconomic status and depression over the life course. Journal of Health and Social Behavior, 41(2), 162-176. https://doi.org/Doi 10.2307/2676303
Mongey, S., & Weinberg, A. (2020). Characteristics of workers in low work-from-home and high personal-proximity occupations. Becker Friedman Institute for Economic White Paper.
Morrison, A. S., Mateen, M. A., Brozovich, F. A., Zaki, J., Goldin, P. R., Heimberg, R. G., & Gross, J. J. (2016). Empathy for positive and negative emotions in social anxiety disorder. Behaviour research and therapy, 87, 232–242. https://doi.org/10.1016/j.brat.2016.10.005
Olagoke, A. A., Olagoke, O. O., & Hughes, A. M. (2020). Exposure to coronavirus news on mainstream media: The role of risk perceptions and depression. Br J Health Psychol, 25(4), 865-874. https://doi.org/10.1111/bjhp.12427
Pieh, C., Budimir, S., & Probst, T. (2020). The effect of age, gender, income, work, and physical activity on mental health during coronavirus disease (COVID-19) lockdown in Austria. J Psychosom Res, 136, 110186. https://doi.org/10.1016/j.jpsychores.2020.110186
Prowse, R., Sherratt, F., Abizaid, A., Gabrys, R. L., Hellemans, K. G. C., Patterson, Z. R., & McQuaid, R. J. (2021). Coping With the COVID-19 Pandemic: Examining Gender Differences in Stress and Mental Health Among University Students. Front Psychiatry, 12, 650759. https://doi.org/10.3389/fpsyt.2021.650759
Rahman, S., Montero, M. T. V., Rowe, K., Kirton, R., & Kunik, F. (2021). Epidemiology, pathogenesis, clinical presentations, diagnosis and treatment of COVID-19: a review of current evidence. Expert Review of Clinical Pharmacology. 14(5), 601-621. https://doi.org/10.1080/17512433.2021.1902303
Ribeiro, Í. J., Pereira, R., Freire, I. V., de Oliveira, B. G., Casotti, C. A., & Boery, E. N. (2018). Stress and quality of life among university students: A systematic literature review. Health Professions Education, 4(2), 70-77. https://doi.org/10.1016/j.hpe.2017.03.002
Sadeh, N., Miller, M. W., Wolf, E. J., & Harkness, K. L. (2015). Negative emotionality and disconstraint influence PTSD symptom course via exposure to new major adverse life events. Journal of Anxiety Disorders, 31, 20-27. https://doi.org/10.1016/j.janxdis.2015.01.003
Schoonbroodt, A. (2018). Parental child care during and outside of typical work hours. Review of Economics of the Household, 16(2), 453–476. https://doi.org/10.1111/1468-5914.00196
Stanton, K., Gruber, J., & Watson, D. (2017). Basic dimensions defining mania risk: A structural approach. Psychological Assessment, 29(3), 304–319. https://doi.org/10.1037/pas0000337
Tyler, C. M., McKee, G. B., Alzueta, E., Perrin, P. B., Kingsley, K., Baker, F. C., & Arango-Lasprilla, J. C. (2021). A Study of Older Adults' Mental Health across 33 Countries during the COVID-19 Pandemic. International journal of environmental research and public health, 18(10), 5090. https://doi.org/10.3390/ijerph18105090
Wang, C., Pan, R., Wan, X., Tan, Y., Xu, L., Ho, C.S., Ho, R.C., (2020a). Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int. J. Environ. Res. Public Health 17 (5), 1729. https://doi.org/10.3390/ijerph17051729.
Wang, C., Pan, R., Wan, X., Tan, Y., Xu, L., McIntyre, R. S., Choo, F. N., Tran, B., Ho, R., Sharma, V. K., & Ho, C. (2020). A longitudinal study on the mental health of general population during the COVID-19 epidemic in China. Brain, behavior, and immunity, 87, 40–48. https://doi.org/10.1016/j.bbi.2020.04.028
Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: the PANAS scales. Journal of personality and social psychology, 54(6), 1063-1070.
WHO, https://www.who.int/dg/speeches/detail/who-director-generals-opening-remarks-at-the-media-briefing-on-covid-19—11-march-2020, Erişim Tarihi 2.4.2020.
Yang, L., Wang, L., & Dai, X. (2021). Rural-urban and gender differences in the association between community care services and elderly individuals' mental health: a case from Shaanxi Province, China. BMC health services research, 21(1), 106. https://doi.org/10.1186/s12913-021-06113-z
Young, K. S., Sandman, C. F., & Craske, M. G. (2019). Positive and Negative Emotion Regulation in Adolescence: Links to Anxiety and Depression. Brain sciences, 9(4), 76. https://doi.org/10.3390/brainsci9040076
Yüksel, B. (2014). Kaygı belirtilerini açıklamada bağlanma, pozitif ve negaitf duygu düzenleme ve belirsizliğe tahammülsüzlük arasındaki ilişkiyi bütünleyici model arayışı. Hacettepe Üniversitesi Sosyal Bilimler Enstitüsü, Ankara.
Zamarro, G. (2020). Family labor participation and childcare decisions: the role of grannies. SERIEs, 11 (3), 287–312.
Zamarro, G., & Prados, M. J. (2021). Gender differences in couples' division of childcare, work and mental health during COVID-19. Rev Econ Househ, 1-30. https://doi.org/10.1007/s11150-020-09534-7
THE RELATIONSHIP OF COVID-19 RELATED ANXIETY WITH POSITIVE AND NEGATIVE EMOTIONS OF INDIVIDUALS
Covid-19 has emerged as a pandemic that has affected all humanity since the end of 2019 and has affected the mental health of individuals, causing anxiety, fear, uncertainty, and hopelessness. This study aimed to examine the relationship between anxiety caused by Covid-19 and positive and negative emotions.
3121 people with an average age of 31.3 (SD=10.20) were included in this cross-sectional study conducted online. Data were collected via Sociodemographic Information Form, Epidemic Anxiety Scale (EAS), and Positive and Negative Emotion Scale (PNES).
In this study, a significant negative correlation was found between epidemic anxiety and positive emotions (r=-0.057; p<.001); A positive and significant relationship was found between epidemic anxiety and negative emotions (r=0.571; p<.001). A significant positive correlation was found between economic anxiety and negative emotions (r=-0.335; p<.001). A significant negative correlation was found between quarantine anxiety and positive emotions (r=-0.044; p<.05). A significant positive correlation was found between quarantine anxiety and negative emotions (r=0.534; p<.001). A significant positive correlation was found between social life anxiety and negative emotions (r=0.489; p<.001).
The results of this research point out the relationship between positive and negative emotions and epidemic anxiety, economic concerns, quarantine anxiety, and social life anxiety. This relationship can be in the form of anxieties affecting emotions, or it can be in the form of emotions affecting the level of anxiety. For this reason, while taking measures to calm anxiety in epidemic disease processes such as Covid-19, positive and negative emotions should be examined, and reparative measures should be taken.
Alakuş, T. B., & Türkoğlu, İ. (2019). Feature selection with sequential forward selection algorithm from emotion estimation based on EEG signals. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 23(6), 1096-1105. https://doi.org/10.16984/saufenbilder.501799
Barber, S. J., & Kim, H. (2021). COVID-19 Worries and Behavior Changes in Older and Younger Men and Women. The journals of gerontology. Series B, Psychological sciences and social sciences, 76(2), e17–e23. https://doi.org/10.1093/geronb/gbaa068
Bardeen, J. R., Tull, M. T., Stevens, E. N., & Gratz, K. L. (2014). Exploring the relationship between positive and negative emotional avoidance and anxiety symptom severity: the moderating role of attentional control. Journal of behavior therapy and experimental psychiatry, 45(3), 415–420. https://doi.org/10.1016/j.jbtep.2014.04.006
Bayrak, N. G., Uzun, S., & Kulakaç, N. (2021). The relationship between anxiety levels and anger expression styles of nurses during COVID-19 pandemic. Perspectives in psychiatric care, 57(4), 1829–1837. https://doi.org/10.1111/ppc.12756
Both, L. M., Zoratto, G., Calegaro, V. C., Ramos-Lima, L. F., Negretto, B. L., Hauck, S., & Freitas, L. H. M. (2021). COVID-19 pandemic and social distancing: economic, psychological, family, and technological effects. Trends Psychiatry Psychother, 43 (2), https://doi.org/10.47626/2237-6089-2020-0085
Briguglio, M., Giorgino, R., Dell'Osso, B., Cesari, M., Porta, M., Lattanzio, F., Banfi, G., & Peretti, G. M. (2020). Consequences for the Elderly After COVID-19 Isolation: FEaR (Frail Elderly amid Restrictions). Frontiers in Psychology, 11. https://doi.org/ARTN 565052 10.3389/fpsyg.2020.565052
Bjelland, I., Krokstad, S., Mykletun, A., Dahl, A. A., Tell, G. S., & Tambs, K. (2008). Does a higher educational level protect against anxiety and depression? The HUNT study. Social science & medicine, 66(6), 1334-1345. https://doi.org/10.1016/j.socscimed.2007.12.019
Carpenter, R. W., Stanton, K., Emery, N. N., & Zimmerman, M. (2020). Positive and Negative Activation in the Mood Disorder Questionnaire: Associations With Psychopathology and Emotion Dysregulation in a Clinical Sample. Assessment, 27(2), 219–231. https://doi.org/10.1177/1073191119851574
Chen, S., Cheng, Z., & Wu, J. (2020). Risk factors for adolescents' mental health during the COVID-19 pandemic: a comparison between Wuhan and other urban areas in China. Globalization and health, 16(1), 96. https://doi.org/10.1186/s12992-020-00627-7
Chin, B., Murphy, M.L., Janicki-Deverts, D., & Cohen, S. (2017). Marital status as a predictor of diurnal salivary cortisol levels and slopes in a community sample of healthy adults. Psychoneuroendocrinology, 78,68–75. https://doi.org/10.1016/j.psyneuen. 2017.01.016
Cohen, S., & Wills, T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98(2), 310–357.https://www.ncbi.nlm.nih.gov/pubmed/3901065
Doğan, Y., & Özdevecioğlu, M. (2009). pozitif ve negatif duygusalliğin çalişanlarin performanslari üzerindeki etkisi. Sosyal Ekonomik Araştırmalar Dergisi, 9(18), 165-190.
Fuller, T. D., Edwards, J. N., Vorakitphokatorn, S., & Sermsri, S. (1996). Chronic stress and psychological well-being: evidence from Thailand on household crowding. Soc Sci Med, 42(2), 265-280. https://doi.org/10.1016/0277-9536(95)00089-5
Fortaleza, C., Guimarães, R. B., de Almeida, G. B., Pronunciate, M., & Ferreira, C. P. (2020). Taking the inner route: spatial and demographic factors affecting vulnerability to COVID-19 among 604 cities from inner São Paulo State, Brazil. Epidemiology and infection, 148, e118. https://doi.org/10.1017/S095026882000134X
Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., Wang, Y., Fu, H., & Dai, J. (2020). Mental health problems and social media exposure during COVID-19 outbreak. PLoS One, 15(4), e0231924. https://doi.org/10.1371/journal.pone.0231924
Gençöz, T. (2000). Pozitif ve Negatif Duygu Ölçeği: Geçerlik ve güvenirlik çalışması. Türk Psikoloji Dergisi, 15(46), 19-26.
Gerrig, R. J., Zimbardo, P. G., Campbell, A. J., Cumming, S. R., & Wilkes, F. J. (2012). Psychology and life, 20.
Hızlı-Sayar, G., Ünübol, H., Tarhan, N. (2020a). COVID-19 Türkiye Araştırması Sonuç Raporu (Korkular, Kaygılar, Olgunlaşma). Üsküdar Üniversitesi Yayınları-28.
Hızlı-Sayar, G., Ünübol, H., Tutgun-Ünal, A., & Tarhan, N. (2020b). Salgın Hastalık Kaygı Ölçeği: Geçerlilik ve Güvenirlik Çalışması. Psikiyatride Güncel Yaklaşımlar, 12, (1), 382-397. https://doi.org/10.18863/pgy.803145
Jiao, W. Y., Wang, L. N., Liu, J., Fang, S. F., Jiao, F. Y., Pettoello-Mantovani, M., & Somekh, E. (2020). Behavioral and Emotional Disorders in Children during the COVID-19 Epidemic. The Journal of pediatrics, 221, 264–266.e1.https://doi.org/10.1016/j.jpeds.2020.03.013
Kahler, C. W., Daughters, S. B., Leventhal, A. M., Rogers, M. L., Clark, M. A., Colby, S. M., Boergers, J., Ramsey, S. E., Abrams, D. B., Niaura, R., & Buka, S. L. (2009). Personality, psychiatric disorders, and smoking in middle-aged adults. Nicotine Tob Res, 11(7), 833-841. https://doi.org/10.1093/ntr/ntp073
Kiecolt-Glaser, J. K., & Newton, T. L. (2001). Marriage and health: his and hers. Psychological bulletin, 127(4), 472–503. https://doi.org/10.1037/0033-2909.127.4.472
Klaser, K., Thompson, E. J., Nguyen, L. H., Sudre, C. H., Antonelli, M., Murray, B., Canas, L. S., Molteni, E., Graham, M. S., Kerfoot, E., Chen, L., Deng, J., May, A., Hu, C., Guest, A., Selvachandran, S., Drew, D. A., Modat, M., Chan, A. T.,
Wolf, J., Spector, T. D., Hammers, A., Duncan, E. L., Ourselin, S., & Steves, C. J. (2021). Anxiety and depression symptoms after COVID-19 infection: results from the COVID Symptom Study app. medRxiv. https://doi.org/10.1101/2021.07.07.21260137
Kotov, R., Gamez, W., Schmidt, F., & Watson, D. (2010). Linking “big” personality traits to anxiety, depressive, and substance use disorders: a meta-analysis. Psychological bulletin, 136(5), 768. https://doi.org/10.1037/a0020327
Kowal, M., Coll-Martin, T., Ikizer, G., Rasmussen, J., Eichel, K., Studzinska, A., Koszalkowska, K., Karwowski, M., Najmussaqib, A., Pankowski, D., Lieberoth, A., & Ahmed, O. (2020). Who is the Most Stressed During the COVID-19 Pandemic? Data From 26 Countries and Areas. Appl Psychol Health Well Being, 12(4), 946-966. https://doi.org/10.1111/aphw.12234
Lacroix, V. (2012). All about Pandemics (epidemic of Infectious Disease). University Publications.
Lam, K., Lu, A. D., Shi, Y., & Covinsky, K. E. (2020). Assessing Telemedicine Unreadiness Among Older Adults in the United States During the COVID-19 Pandemic. Jama Internal Medicine, 180(10), 1389-1391. https://doi.org/10.1001/jamainternmed.2020.2671
Li, S., Wang, Y., Xue, J., Zhao, N., & Zhu, T. (2020). The Impact of COVID-19 Epidemic Declaration on Psychological Consequences: A Study on Active Weibo Users. International journal of environmental research and public health, 17(6), 2032. https://doi.org/10.3390/ijerph17062032
Mazza, C., Ricci, E., Biondi, S., Colasanti, M., Ferracuti, S., Napoli, C., & Roma, P. (2020). A nationwide survey of psychological distress among Italian people during the COVID-19 pandemic: immediate psychological responses and associated factors. International journal of environmental research and public health, 17(9), 3165. https://doi.org/10.3390/ijerph17093165
Miech, R. A., & Shanahan, M. J. (2000). Socioeconomic status and depression over the life course. Journal of Health and Social Behavior, 41(2), 162-176. https://doi.org/Doi 10.2307/2676303
Mongey, S., & Weinberg, A. (2020). Characteristics of workers in low work-from-home and high personal-proximity occupations. Becker Friedman Institute for Economic White Paper.
Morrison, A. S., Mateen, M. A., Brozovich, F. A., Zaki, J., Goldin, P. R., Heimberg, R. G., & Gross, J. J. (2016). Empathy for positive and negative emotions in social anxiety disorder. Behaviour research and therapy, 87, 232–242. https://doi.org/10.1016/j.brat.2016.10.005
Olagoke, A. A., Olagoke, O. O., & Hughes, A. M. (2020). Exposure to coronavirus news on mainstream media: The role of risk perceptions and depression. Br J Health Psychol, 25(4), 865-874. https://doi.org/10.1111/bjhp.12427
Pieh, C., Budimir, S., & Probst, T. (2020). The effect of age, gender, income, work, and physical activity on mental health during coronavirus disease (COVID-19) lockdown in Austria. J Psychosom Res, 136, 110186. https://doi.org/10.1016/j.jpsychores.2020.110186
Prowse, R., Sherratt, F., Abizaid, A., Gabrys, R. L., Hellemans, K. G. C., Patterson, Z. R., & McQuaid, R. J. (2021). Coping With the COVID-19 Pandemic: Examining Gender Differences in Stress and Mental Health Among University Students. Front Psychiatry, 12, 650759. https://doi.org/10.3389/fpsyt.2021.650759
Rahman, S., Montero, M. T. V., Rowe, K., Kirton, R., & Kunik, F. (2021). Epidemiology, pathogenesis, clinical presentations, diagnosis and treatment of COVID-19: a review of current evidence. Expert Review of Clinical Pharmacology. 14(5), 601-621. https://doi.org/10.1080/17512433.2021.1902303
Ribeiro, Í. J., Pereira, R., Freire, I. V., de Oliveira, B. G., Casotti, C. A., & Boery, E. N. (2018). Stress and quality of life among university students: A systematic literature review. Health Professions Education, 4(2), 70-77. https://doi.org/10.1016/j.hpe.2017.03.002
Sadeh, N., Miller, M. W., Wolf, E. J., & Harkness, K. L. (2015). Negative emotionality and disconstraint influence PTSD symptom course via exposure to new major adverse life events. Journal of Anxiety Disorders, 31, 20-27. https://doi.org/10.1016/j.janxdis.2015.01.003
Schoonbroodt, A. (2018). Parental child care during and outside of typical work hours. Review of Economics of the Household, 16(2), 453–476. https://doi.org/10.1111/1468-5914.00196
Stanton, K., Gruber, J., & Watson, D. (2017). Basic dimensions defining mania risk: A structural approach. Psychological Assessment, 29(3), 304–319. https://doi.org/10.1037/pas0000337
Tyler, C. M., McKee, G. B., Alzueta, E., Perrin, P. B., Kingsley, K., Baker, F. C., & Arango-Lasprilla, J. C. (2021). A Study of Older Adults' Mental Health across 33 Countries during the COVID-19 Pandemic. International journal of environmental research and public health, 18(10), 5090. https://doi.org/10.3390/ijerph18105090
Wang, C., Pan, R., Wan, X., Tan, Y., Xu, L., Ho, C.S., Ho, R.C., (2020a). Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int. J. Environ. Res. Public Health 17 (5), 1729. https://doi.org/10.3390/ijerph17051729.
Wang, C., Pan, R., Wan, X., Tan, Y., Xu, L., McIntyre, R. S., Choo, F. N., Tran, B., Ho, R., Sharma, V. K., & Ho, C. (2020). A longitudinal study on the mental health of general population during the COVID-19 epidemic in China. Brain, behavior, and immunity, 87, 40–48. https://doi.org/10.1016/j.bbi.2020.04.028
Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: the PANAS scales. Journal of personality and social psychology, 54(6), 1063-1070.
WHO, https://www.who.int/dg/speeches/detail/who-director-generals-opening-remarks-at-the-media-briefing-on-covid-19—11-march-2020, Erişim Tarihi 2.4.2020.
Yang, L., Wang, L., & Dai, X. (2021). Rural-urban and gender differences in the association between community care services and elderly individuals' mental health: a case from Shaanxi Province, China. BMC health services research, 21(1), 106. https://doi.org/10.1186/s12913-021-06113-z
Young, K. S., Sandman, C. F., & Craske, M. G. (2019). Positive and Negative Emotion Regulation in Adolescence: Links to Anxiety and Depression. Brain sciences, 9(4), 76. https://doi.org/10.3390/brainsci9040076
Yüksel, B. (2014). Kaygı belirtilerini açıklamada bağlanma, pozitif ve negaitf duygu düzenleme ve belirsizliğe tahammülsüzlük arasındaki ilişkiyi bütünleyici model arayışı. Hacettepe Üniversitesi Sosyal Bilimler Enstitüsü, Ankara.
Zamarro, G. (2020). Family labor participation and childcare decisions: the role of grannies. SERIEs, 11 (3), 287–312.
Zamarro, G., & Prados, M. J. (2021). Gender differences in couples' division of childcare, work and mental health during COVID-19. Rev Econ Househ, 1-30. https://doi.org/10.1007/s11150-020-09534-7
Özdoğan, B., Hızlı Sayar, G., & Ünübol, H. (2022). COVID-19 Bağlantılı Kaygının Bireylerin Pozitif ve Negatif Duyguları ile İlişkisi. Kıbrıs Türk Psikiyatri Ve Psikoloji Dergisi, 4(3), 231-241.