Araştırma Makalesi
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Sosyal Medya Bağımlılığının Premenstruel Sendrom ve Uyku Kalitesine Etkisi

Yıl 2023, Cilt: 33 Sayı: 6, 739 - 745, 31.12.2023

Zeliha Özşahin Sinem Güven Santur Yeşim Aksoy Derya

https://doi.org/10.54005/geneltip.1320345

Öz

Amaç: Araştırma sosyal medya bağımlılığının premenstruel sendrom ve uyku kalitesine etkisini belirlemek amacıyla yapılmıştır.
Gereç-Yöntem: Kesitsel olarak yürütülen araştırmanın evrenini bir kamu üniversitesine bağlı Sağlık Bilimleri Fakültesi’nde eğitim gören kız öğrenciler oluşturmuştur (n=884). Araştırma verileri “Kişisel Tanıtım Formu”, “Sosyal Medya Bağımlılığı Ölçeği (SMBÖ)”, “Premenstruel Sendrom Ölçeği (PMSÖ)”, “Pittsburgh Uyku Kalite İndeksi (PUKİ)” araçları ile elde edilmiştir. İstatistiksel değerlendirmede tanımlayıcı istatistikler, pearson korelasyon ve linear regresyon analizi kullanılmıştır.
Bulgular: Öğrencilerin yaş ortalaması 20.40±1.65 ve menarş yaş ortalaması 13.42±1.60’dır. Öğrencilerdeki PMSÖ toplam puan ortalaması 129.57±37.75, SMBÖ toplam puan ortalaması 12.93±4.84, SM puan ortalaması 13.22 ± 2.04’’dir. Korelasyon analizi sonucunda SMBÖ ile PMSÖ ve PUKI toplam puan ortalamaları arasında pozitif yönde bir ilişki olduğu saptanmıştır (r=.325 p=.000; r=271, p=.000). Ayrıca yapılan regresyon analizi sonucunda sosyal medya bağımlılığı ölçeği puanındaki 1 birimlik bir değişim premenstrual sendrom ölçeği toplam puanı üzerinde pozitif yönde .325 birimlik (β), PUKİ toplam puanı üzerinde pozitif yönde 0.444 birimlik (β) bir artışa neden olmaktadır.
Sonuç: Sosyal medya bağımlılığının premenstrual sendrom semptomlarını ve kötü uyku kalitesini arttırmada etkili bir değişken olduğu belirlenmiştir.

Anahtar Kelimeler

Premenstruel Sendrom Sosyal Medya Bağımlılığı Uyku Kalitesi

Kaynakça

  • Cheng C, Lau YC, Chan L, Luk JW. Prevalence of social media addiction across 32 nations: Meta-analysis with subgroup analysis of classification schemes and cultural values. Addict Behav. 2021 doi: 10.1016/j.addbeh.2021.106845. Epub 2021 Jan 26. PMID: 33550200.
  • Ponnusamy S, Iranmanesh M, Foroughi B, Hyun SS. Drivers and outcomes of Instagram Addiction: Psychological well-being as moderator. Computers in Human Behavior. 2020, 107, 106294.
  • Hussain Z, Griffiths MD. The associations between problematic social networking site use and sleep quality, attention-deficit hyperactivity disorder, depression, anxiety and stress. International Journal of Mental Health and Addiction. 2021, 19(3), 686-700.
  • Special Report, Digital 2022. https://wearesocial.com/uk/blog/2022/01/digital-2022/ Erişim Tarihi: 10.09.2022
  • Vannucci A, Flannery KM, Ohannessian CM. Social media use and anxiety in emerging adults. Journal of Affective Disorders. 2017, 207, 163-166.
  • Campisi J, Bynog P, McGehee H, Oakland JC, Quirk S, Taga C, Taylor M. Facebook, stress, and incidence of upper respiratory infection in undergraduate college students. Cyberpsychology, Behavior, and Social Networking. 2012, 15(12), 675-681.
  • Lin LY, Sidani JE, Shensa A, Radovic A, Miller E, Colditz J. B, Primack BA. Association between social media use and depression among US young adults. Depression and anxiety. 2016, 33(4), 323-331.
  • Sriwilai K, Charoensukmongkol P. Face it, don't Facebook it: impacts of social media addiction on mindfulness, coping strategies and the consequence on emotional exhaustion. Stress and Health. 2016 Oct;32(4):427-34.
  • Woods HC, Scott H. # Sleepyteens: Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. Journal of adolescence. 2016 Aug 1;51:41-9.
  • Xanidis N, Brignell CM. The association between the use of social network sites, sleep quality and cognitive function during the day. Computers in human behavior. 2016 Feb 1;55:121-6.
  • Çömlekçi MF, Başol O. Analysis of Relationship between Youths’ Social Media Usage Motives and Social Media Addiction. Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi. 2019;17(4):173-88.
  • Chen J, Wang Y. Social media use for health purposes: systematic review. Journal of medical Internet research. 2021 May 12;23(5):e17917.
  • Sun Y, Zhang Y. A review of theories and models applied in studies of social media addiction and implications for future research. Addictive behaviors. 2021 Mar 1;114:106699.
  • Schneider MJ. Introduction to public health. Jones & Bartlett Learning; 2020 Mar 6.
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  • American College of Obstetricians and Gynecologists. Premenstrual syndrome (PMS) 2018; American College of Obstetricians and Gynecologists. https://www.acog.org/womens-health/faqs/premenstrual-syndrome Obstetricians and Gynecologists. 2015
  • Çelik A, Uskun E. Prevalance of premenstrual syndrome and it’s relationship of quality of life: a community-based study example. Pamukkale Medical Journal. 2022 Jan 1;15(1):1-3.
  • Aşcı Ö, Gökdemir F, Süt HK, Payam F. The relationship of premenstrual syndrome symptoms with menstrual attitude and sleep quality in Turkish nursing student. Journal of caring sciences. 2015 Sep;4(3):179.
  • Işik H, Ergöl Ş, Aynioğlu Ö, Şahbaz A, Kuzu A, Uzun M. Premenstrual syndrome and life quality in Turkish health science students. Turkish Journal of Medical Sciences. 2016;46(3):695-701.
  • Conzatti M, Perez AV, Maciel RF, De Castro DH, Sbaraini M, Wender MC. Sleep quality and excessive daytime sleepiness in women with Premenstrual Syndrome. Gynecological Endocrinology. 2021 Oct 3;37(10):945-9.
  • Jehan S, Auguste E, Hussain M, Pandi-Perumal SR, Brzezinski A, Gupta R, Attarian H, Jean-Louis G, McFarlane SI. Sleep and premenstrual syndrome. Journal of sleep medicine and disorders. 2016;3(5).
  • Erbil N, Yücesoy H. Relationship between premenstrual syndrome and sleep quality among nursing and medical students. Perspectives in Psychiatric Care. 2022 Apr;58(2):448-55.
  • Konjarski M, Murray G, Lee VV, Jackson ML. Reciprocal relationships between daily sleep and mood: A systematic review of naturalistic prospective studies. Sleep medicine reviews. 2018, 1; 42:47-58.
  • Dinis J, Bragança M. Quality of sleep and depression in college students: a systematic review. Sleep Science. 2018 Jul;11(4):290.
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  • Hanson JL, Hariri AR, Williamson DE. Blunted ventral striatum development in adolescence reflects emotional neglect and predicts depressive symptoms. Biological psychiatry. 2015 Nov 1;78(9):598-605.
  • Billieux J, King DL, Higuchi S, Achab S, Bowden-Jones H, Hao W, Long J, Lee HK, Potenza MN, Saunders JB, Poznyak V. Functional impairment matters in the screening and diagnosis of gaming disorder: Commentary on: Scholars’ open debate paper on the World Health Organization ICD-11 Gaming Disorder proposal (Aarseth et al.). Journal of behavioral addictions. 2017 Sep;6(3):285-9.
  • Hale L, Hill TD, Friedman E, Nieto FJ, Galvao LW, Engelman CD, Malecki KM, Peppard PE. Perceived neighborhood quality, sleep quality, and health status: evidence from the Survey of the Health of Wisconsin. Social science & medicine. 2013 Feb 1; 79:16-22.
  • Kaur P, Dhir A, Alkhalifa AK, Tandon A. Social media platforms and sleep problems: a systematic literature review, synthesis and framework for future research. Internet Research. 2021 Mar 17.
  • Alonzo R, Hussain J, Stranges S, Anderson KK. Interplay between social media use, sleep quality, and mental health in youth: A systematic review. Sleep medicine reviews. 2021, 1; 56:101414.
  • Özşahin Z, Ünver H, Santur SG. Relationship between adverse childhood experiences and premenstrual syndrome. Medical Records. 2022;4(1):27-34.
  • İyigün G, Angin E, Kirmizigil B, Öksüz S, Özdil A, Malkoç M. The relationship between sleep quality, mental health, physical health, and quality of life in university students. Journal of Exercise Therapy and Rehabilitation. 2017;4(3):125-33.
  • Baz FÇ. Social Media Addiction: Study on University Students. OPUS International Journal of Society Researches. 2018;9(16):276-95.
  • Günüç S. Development of Internet Addiction Scale and scrutinising the relations between the internet addiction and some demographic variables. Master Thesis, 2009.
  • Gençdoğan, B. (2006). A new scale for premenstrual syndrome. Türkiye’de Psikiyatri, 8(2), 81-7.
  • Buysse DJ, Reynolds III, CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research. Psychiatry Research, 1989, 28(2), 193- 213.
  • Agargun MY. Validity and Reliability of the Pittsburgh Sleep Quality Index. Turk Psikiyatri Dergisi. 1996;7:107-15.
  • Armonk, NY. IBM Corp. Released 2013. IBM SPSS Statistics for Windows, Version 22.0. https://www.ibm.com/support/pages/how-cite-ibm-spss-statistics-or-earlier-versions-spss Son Erişim Tarihi: 25.09.2022.
  • Alpar R. Applied Statistics and Validity and Reliability with Examples from Sports, Health and Educational Sciences, 5th Edition. Ankara, Detay Yayıncılık, 2018.
  • Schernhammer E, Weitzer J, Laubichler MD, Birmann BM, Bertau M, Zenk L, Caniglia G, Jäger CC, Steiner G. Correlates of COVID-19 vaccine hesitancy in Austria: trust and the government. Journal of Public Health. 2022 Mar;44(1):e106-16.
  • Wang F, Boros S. The effect of physical activity on sleep quality: a systematic review. European Journal of Physiotherapy. 2021 Jan 2;23(1):11-8.
  • Rachubińska K, Cybulska AM, Grochans E. The relationship between loneliness, depression, internet and social media addiction among young Polish women. Eur Rev Med Pharmacol Sci. 2021 Feb 1;25(4):1982-9.
  • Seun-Fadipe CT, Mosaku KS. Sleep quality and psychological distress among undergraduate students of a Nigerian university. Sleep Health. 2017 Jun 1;3(3):190-4.
  • Dietch JR, Taylor DJ, Sethi K, Kelly K, Bramoweth AD, Roane BM. Psychometric evaluation of the PSQI in US college students. Journal of Clinical Sleep Medicine. 2016 Aug 15;12(8):1121-9.
  • Lund HG, Reider BD, Whiting AB, Prichard JR. Sleep patterns and predictors of disturbed sleep in a large population of college students. Journal of adolescent health. 2010 Feb 1;46(2):124-32.
  • Alkaya SA, Okuyan CB. The Exercise Behaviors and Sleep Quality of Nursing Students. E-Journal of Dokuz Eylul University Nursing Faculty. 2017 Oct 13; 10(4):236-4.
  • Özkan IŞ, Özarslan A, Bekler F. The Correlation Among Physical Activity, Quality of Sleep And Depression Among the University Students. Beden Eğitimi ve Spor Bilimleri Dergisi. 2015;9(9):65-73.
  • Siminiuc R, Ţurcanu D. Impact of nutritional diet therapy on premenstrual syndrome. Frontiers in Nutrition. 2023 Feb 1;10:1079417.
  • Farrokh-Eslamlou H, Oshnouei S, Heshmatian B, Akbari E. Premenstrual syndrome and quality of life in Iranian medical students. Sexual & Reproductive Healthcare. 2015 Mar 1;6(1):23-7.
  • Vaghela N, Mishra D, Sheth M, Dani VB. To compare the effects of aerobic exercise and yoga on Premenstrual syndrome. J Educ Health Promot. 2019 Oct 24;8:199. doi: 10.4103/jehp.jehp_50_19.
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  • Zhuang J, Mou Q, Zheng T, Gao F, Zhong Y, Lu Q, Gao Y, Zhao M. A serial mediation model of social media addiction and college students' academic engagement: the role of sleep quality and fatigue. BMC Psychiatry. 2023 May 12;23(1):333. doi: 10.1186/s12888-023-04799-5. PMID: 37173670; PMCID: PMC10176952.
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The Effect of Social Media Addiction on Premenstruel Syndrome and Sleep Quality

Yıl 2023, Cilt: 33 Sayı: 6, 739 - 745, 31.12.2023

Zeliha Özşahin Sinem Güven Santur Yeşim Aksoy Derya

https://doi.org/10.54005/geneltip.1320345

Öz

Objective: This study was conducted to determine the impact of social media addiction on premenstrual syndrome (PMS) and sleep quality.
Material-Method: The study population consisted of female students enrolled in the Health Sciences Faculty of a public university (n=884). Data were collected using the "Personal Information Form," "Social Media Addiction Scale (SMAS)," "Premenstrual Syndrome Scale (PMSS)," and "Pittsburgh Sleep Quality Index (PSQI)" instruments. Descriptive statistics, Pearson correlation analysis and Linear Regression Analysis were used for statistical evaluation.
Results: The mean age of the students was 20.40±1.65, and the mean age of menarche was 13.42±1.60. The mean total score for PMSS was 129.57±37.75, the mean total score for SMAS was 12.93±4.84, and the mean score for PSQI was 13.22±2.04. The correlation analysis revealed a positive relationship between SMAS and the total scores of PMSS and PSQI (r=.325, p=.000; r=271, p=.000). In addition, as a result of the regression analysis, a 1-unit change in the social media addiction scale score causes a positive increase of .325 units (β) on the total score of the premenstrual syndrome scale and a positive increase of 0.444 units (β) on the total score of the PSQI.
Conclusion: Social media addiction was found to be an effective variable in increasing premenstrual syndrome symptoms and poor sleep quality.

Anahtar Kelimeler

Premenstrual Syndrome Social Media Addiction Sleep Quality

Kaynakça

  • Cheng C, Lau YC, Chan L, Luk JW. Prevalence of social media addiction across 32 nations: Meta-analysis with subgroup analysis of classification schemes and cultural values. Addict Behav. 2021 doi: 10.1016/j.addbeh.2021.106845. Epub 2021 Jan 26. PMID: 33550200.
  • Ponnusamy S, Iranmanesh M, Foroughi B, Hyun SS. Drivers and outcomes of Instagram Addiction: Psychological well-being as moderator. Computers in Human Behavior. 2020, 107, 106294.
  • Hussain Z, Griffiths MD. The associations between problematic social networking site use and sleep quality, attention-deficit hyperactivity disorder, depression, anxiety and stress. International Journal of Mental Health and Addiction. 2021, 19(3), 686-700.
  • Special Report, Digital 2022. https://wearesocial.com/uk/blog/2022/01/digital-2022/ Erişim Tarihi: 10.09.2022
  • Vannucci A, Flannery KM, Ohannessian CM. Social media use and anxiety in emerging adults. Journal of Affective Disorders. 2017, 207, 163-166.
  • Campisi J, Bynog P, McGehee H, Oakland JC, Quirk S, Taga C, Taylor M. Facebook, stress, and incidence of upper respiratory infection in undergraduate college students. Cyberpsychology, Behavior, and Social Networking. 2012, 15(12), 675-681.
  • Lin LY, Sidani JE, Shensa A, Radovic A, Miller E, Colditz J. B, Primack BA. Association between social media use and depression among US young adults. Depression and anxiety. 2016, 33(4), 323-331.
  • Sriwilai K, Charoensukmongkol P. Face it, don't Facebook it: impacts of social media addiction on mindfulness, coping strategies and the consequence on emotional exhaustion. Stress and Health. 2016 Oct;32(4):427-34.
  • Woods HC, Scott H. # Sleepyteens: Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. Journal of adolescence. 2016 Aug 1;51:41-9.
  • Xanidis N, Brignell CM. The association between the use of social network sites, sleep quality and cognitive function during the day. Computers in human behavior. 2016 Feb 1;55:121-6.
  • Çömlekçi MF, Başol O. Analysis of Relationship between Youths’ Social Media Usage Motives and Social Media Addiction. Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi. 2019;17(4):173-88.
  • Chen J, Wang Y. Social media use for health purposes: systematic review. Journal of medical Internet research. 2021 May 12;23(5):e17917.
  • Sun Y, Zhang Y. A review of theories and models applied in studies of social media addiction and implications for future research. Addictive behaviors. 2021 Mar 1;114:106699.
  • Schneider MJ. Introduction to public health. Jones & Bartlett Learning; 2020 Mar 6.
  • Gudipally PR, Sharma GK. Premenstrual syndrome. InStatPearls [Internet] 2022 Jul 18. StatPearls Publishing; 2022 Jan–. PMID: 32809533.
  • American College of Obstetricians and Gynecologists. Premenstrual syndrome (PMS) 2018; American College of Obstetricians and Gynecologists. https://www.acog.org/womens-health/faqs/premenstrual-syndrome Obstetricians and Gynecologists. 2015
  • Çelik A, Uskun E. Prevalance of premenstrual syndrome and it’s relationship of quality of life: a community-based study example. Pamukkale Medical Journal. 2022 Jan 1;15(1):1-3.
  • Aşcı Ö, Gökdemir F, Süt HK, Payam F. The relationship of premenstrual syndrome symptoms with menstrual attitude and sleep quality in Turkish nursing student. Journal of caring sciences. 2015 Sep;4(3):179.
  • Işik H, Ergöl Ş, Aynioğlu Ö, Şahbaz A, Kuzu A, Uzun M. Premenstrual syndrome and life quality in Turkish health science students. Turkish Journal of Medical Sciences. 2016;46(3):695-701.
  • Conzatti M, Perez AV, Maciel RF, De Castro DH, Sbaraini M, Wender MC. Sleep quality and excessive daytime sleepiness in women with Premenstrual Syndrome. Gynecological Endocrinology. 2021 Oct 3;37(10):945-9.
  • Jehan S, Auguste E, Hussain M, Pandi-Perumal SR, Brzezinski A, Gupta R, Attarian H, Jean-Louis G, McFarlane SI. Sleep and premenstrual syndrome. Journal of sleep medicine and disorders. 2016;3(5).
  • Erbil N, Yücesoy H. Relationship between premenstrual syndrome and sleep quality among nursing and medical students. Perspectives in Psychiatric Care. 2022 Apr;58(2):448-55.
  • Konjarski M, Murray G, Lee VV, Jackson ML. Reciprocal relationships between daily sleep and mood: A systematic review of naturalistic prospective studies. Sleep medicine reviews. 2018, 1; 42:47-58.
  • Dinis J, Bragança M. Quality of sleep and depression in college students: a systematic review. Sleep Science. 2018 Jul;11(4):290.
  • Santur SG, Özşahin Z. Sleep and midwifery approach in the stages of women’s life. The Journal of Turkish Family Physician. 2021 Dec 28;12(4):207-16.
  • Hanson JL, Hariri AR, Williamson DE. Blunted ventral striatum development in adolescence reflects emotional neglect and predicts depressive symptoms. Biological psychiatry. 2015 Nov 1;78(9):598-605.
  • Billieux J, King DL, Higuchi S, Achab S, Bowden-Jones H, Hao W, Long J, Lee HK, Potenza MN, Saunders JB, Poznyak V. Functional impairment matters in the screening and diagnosis of gaming disorder: Commentary on: Scholars’ open debate paper on the World Health Organization ICD-11 Gaming Disorder proposal (Aarseth et al.). Journal of behavioral addictions. 2017 Sep;6(3):285-9.
  • Hale L, Hill TD, Friedman E, Nieto FJ, Galvao LW, Engelman CD, Malecki KM, Peppard PE. Perceived neighborhood quality, sleep quality, and health status: evidence from the Survey of the Health of Wisconsin. Social science & medicine. 2013 Feb 1; 79:16-22.
  • Kaur P, Dhir A, Alkhalifa AK, Tandon A. Social media platforms and sleep problems: a systematic literature review, synthesis and framework for future research. Internet Research. 2021 Mar 17.
  • Alonzo R, Hussain J, Stranges S, Anderson KK. Interplay between social media use, sleep quality, and mental health in youth: A systematic review. Sleep medicine reviews. 2021, 1; 56:101414.
  • Özşahin Z, Ünver H, Santur SG. Relationship between adverse childhood experiences and premenstrual syndrome. Medical Records. 2022;4(1):27-34.
  • İyigün G, Angin E, Kirmizigil B, Öksüz S, Özdil A, Malkoç M. The relationship between sleep quality, mental health, physical health, and quality of life in university students. Journal of Exercise Therapy and Rehabilitation. 2017;4(3):125-33.
  • Baz FÇ. Social Media Addiction: Study on University Students. OPUS International Journal of Society Researches. 2018;9(16):276-95.
  • Günüç S. Development of Internet Addiction Scale and scrutinising the relations between the internet addiction and some demographic variables. Master Thesis, 2009.
  • Gençdoğan, B. (2006). A new scale for premenstrual syndrome. Türkiye’de Psikiyatri, 8(2), 81-7.
  • Buysse DJ, Reynolds III, CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research. Psychiatry Research, 1989, 28(2), 193- 213.
  • Agargun MY. Validity and Reliability of the Pittsburgh Sleep Quality Index. Turk Psikiyatri Dergisi. 1996;7:107-15.
  • Armonk, NY. IBM Corp. Released 2013. IBM SPSS Statistics for Windows, Version 22.0. https://www.ibm.com/support/pages/how-cite-ibm-spss-statistics-or-earlier-versions-spss Son Erişim Tarihi: 25.09.2022.
  • Alpar R. Applied Statistics and Validity and Reliability with Examples from Sports, Health and Educational Sciences, 5th Edition. Ankara, Detay Yayıncılık, 2018.
  • Schernhammer E, Weitzer J, Laubichler MD, Birmann BM, Bertau M, Zenk L, Caniglia G, Jäger CC, Steiner G. Correlates of COVID-19 vaccine hesitancy in Austria: trust and the government. Journal of Public Health. 2022 Mar;44(1):e106-16.
  • Wang F, Boros S. The effect of physical activity on sleep quality: a systematic review. European Journal of Physiotherapy. 2021 Jan 2;23(1):11-8.
  • Rachubińska K, Cybulska AM, Grochans E. The relationship between loneliness, depression, internet and social media addiction among young Polish women. Eur Rev Med Pharmacol Sci. 2021 Feb 1;25(4):1982-9.
  • Seun-Fadipe CT, Mosaku KS. Sleep quality and psychological distress among undergraduate students of a Nigerian university. Sleep Health. 2017 Jun 1;3(3):190-4.
  • Dietch JR, Taylor DJ, Sethi K, Kelly K, Bramoweth AD, Roane BM. Psychometric evaluation of the PSQI in US college students. Journal of Clinical Sleep Medicine. 2016 Aug 15;12(8):1121-9.
  • Lund HG, Reider BD, Whiting AB, Prichard JR. Sleep patterns and predictors of disturbed sleep in a large population of college students. Journal of adolescent health. 2010 Feb 1;46(2):124-32.
  • Alkaya SA, Okuyan CB. The Exercise Behaviors and Sleep Quality of Nursing Students. E-Journal of Dokuz Eylul University Nursing Faculty. 2017 Oct 13; 10(4):236-4.
  • Özkan IŞ, Özarslan A, Bekler F. The Correlation Among Physical Activity, Quality of Sleep And Depression Among the University Students. Beden Eğitimi ve Spor Bilimleri Dergisi. 2015;9(9):65-73.
  • Siminiuc R, Ţurcanu D. Impact of nutritional diet therapy on premenstrual syndrome. Frontiers in Nutrition. 2023 Feb 1;10:1079417.
  • Farrokh-Eslamlou H, Oshnouei S, Heshmatian B, Akbari E. Premenstrual syndrome and quality of life in Iranian medical students. Sexual & Reproductive Healthcare. 2015 Mar 1;6(1):23-7.
  • Vaghela N, Mishra D, Sheth M, Dani VB. To compare the effects of aerobic exercise and yoga on Premenstrual syndrome. J Educ Health Promot. 2019 Oct 24;8:199. doi: 10.4103/jehp.jehp_50_19.
  • Koçak O, İlme E, Younis MZ. Mediating role of satisfaction with life in the effect of self-esteem and education on social media addiction in Türkiye. Sustainability. 2021 Aug 13;13(16):9097.
  • Hou Y, Xiong D, Jiang T, Song L, Wang Q. Social media addiction: Its impact, mediation, and intervention. Cyberpsychology: Journal of psychosocial research on cyberspace. 2019 Feb 21;13(1).
  • Rathakrishnan B, Bikar Singh SS, Kamaluddin MR, Yahaya A, Mohd Nasir MA, Ibrahim F, Ab Rahman Z. Smartphone addiction and sleep quality on academic performance of university students: An exploratory research. International journal of environmental research and public health. 2021 Aug 5;18(16):8291.
  • Güneş NA, Akbıyık Dİ, Aypak C, Görpelioğlu S. Social media dependency and sleep quality in high school students. Turkish Journal of Family Practice/Türkiye Aile Hekimligi Dergisi. 2018 Oct 1;22(4).
  • Zhuang J, Mou Q, Zheng T, Gao F, Zhong Y, Lu Q, Gao Y, Zhao M. A serial mediation model of social media addiction and college students' academic engagement: the role of sleep quality and fatigue. BMC Psychiatry. 2023 May 12;23(1):333. doi: 10.1186/s12888-023-04799-5. PMID: 37173670; PMCID: PMC10176952.
  • Bhandari PM, Neupane D, Rijal S, Thapa K, Mishra SR, Poudyal AK. Sleep quality, internet addiction and depressive symptoms among undergraduate students in Nepal. BMC Psychiatry. 2017 Mar 21;17(1):106. doi: 10.1186/s12888-017-1275-5. PMID: 28327098; PMCID: PMC5361804.
  • Liang S, Ren Z, Yang G. Cross-sectional and prospective association between internet addiction and risk of fatigue among Chinese college students. Medicine (Baltimore). 2022 Aug 19;101(33):e30034. doi: 10.1097/MD.0000000000030034. PMID: 35984184; PMCID: PMC9387967.
  • Lian SL, Sun XJ, Zhou ZK, Fan CY, Niu GF, Liu QQ. Social networking site addiction and undergraduate students' irrational procrastination: The mediating role of social networking site fatigue and the moderating role of effortful control. PLoS One. 2018 Dec 11;13(12):e0208162. doi: 10.1371/journal.pone.0208162. PMID: 30533013; PMCID: PMC6289504.
  • Özdil K, Çatıker A, Bulucu Büyüksoy GD. Smartphone addiction and perceived pain among nursing students: a cross-sectional study. Psychol Health Med. 2022 Dec;27(10):2246-2260. doi: 10.1080/13548506.2021.1958236. Epub 2021 Jul 25. PMID: 34308709.
  • Foltran-Mescollotto F, Gonçalves ÉB, Castro-Carletti EM, Oliveira AB, Pelai EB, Rodrigues-Bigaton D. Smartphone addiction and the relationship with head and neck pain and electromiographic activity of masticatory muscles. Work. 2021;68(3):633-640. doi: 10.3233/WOR-203398. PMID: 33612508.
Toplam 60 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Klinik Tıp Bilimleri (Diğer)
Bölüm Original Article
Yazarlar

Zeliha Özşahin 0000-0003-1906-9537

Sinem Güven Santur 0000-0002-6448-6025

Yeşim Aksoy Derya 0000-0002-3140-2286

Erken Görünüm Tarihi 29 Aralık 2023
Yayımlanma Tarihi 31 Aralık 2023
Gönderilme Tarihi 26 Haziran 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 33 Sayı: 6

Kaynak Göster

Vancouver Özşahin Z, Güven Santur S, Aksoy Derya Y. The Effect of Social Media Addiction on Premenstruel Syndrome and Sleep Quality. Genel Tıp Derg. 2023;33(6):739-45.

Genel Tıp Dergisi Creative Commons Atıf-GayriTicari 4.0 Uluslararası Lisansı (CC BY NC) ile lisanslanmıştır.