Generic placeholder image

Endocrine, Metabolic & Immune Disorders - Drug Targets

Editor-in-Chief

ISSN (Print): 1871-5303
ISSN (Online): 2212-3873

Research Article

Comorbidity, Eating Behaviors and Smartphone Addiction in Italian Nurses’ Characteristics

Author(s): Elsa Vitale* and Rocco Mea

Volume 24, Issue 12, 2024

Published on: 19 January, 2024

Page: [1431 - 1444] Pages: 14

DOI: 10.2174/0118715303271067231129103920

Price: $65

conference banner
Abstract

Background: Evidence suggested how nurses experienced worse lifestyles than the general population by recording deterioration rates in healthy conditions.

Aim: To assess differences between comorbidity, eating behavior, and smartphone addiction according to sex, Body Mass Index (BMI), age, work experience, shift, alcohol assumption, and physical activity in Italian nurses.

Methods: An online questionnaire was spread through some professional internet pages. Data included demographic characteristics, the Charlson Comorbidity Index (CCI), the Italian Version of the Dutch Eating Behavior Questionnaire, and the Smartphone Addiction Scale (SAS-SV).

Results: A total of 456 nurses were recruited. Significant differences were registered in the smartphone addiction score (p=0.030) and BMI scores and work experience (p=0.001), as underweight participants reported higher scores in the smartphone addiction attitude (2.4714 ± 1.25812) than the other subjects and also participants with the highest number of years in work experience also reported higher smartphone addiction scores (2.8074 ± 1.2022). Significant difference was reported in the CCI scores according to age (p<0.001): subjects aged over 61 years recorded higher scores in the CCI (1.67 ± 1.528) and also according to work experience and CCI scores (p<0.001), as participants employed between 21 and 30 years reported higher scores in the CCI (1.27 ± 1.382) and also to night shift (p=0.037), as participants who worked during the night shift also reported higher scores in the CCI. A significant difference was reported only for restrained eating attitude (p=0.034), as participants who declared to assume alcohol 2-3 times per month recorded higher levels in this eating attitude aspect (32.32 ± 7.181).

Conclusion: Female nurses, overweight and obese nurses with low physical activity practice, seemed to spend more time with their smartphones. Healthcare organizations should consider findings to prevent unhealthy lifestyles among nurses, which could negatively influence the whole healthcare system.

Keywords: Comorbidity, eating behavior, nurse, smartphone addiction, body mass index, unhealthy lifestyles among nurses.

Graphical Abstract
[1]
Frangos, C.C.; Frangos, C.C.; Sotiropoulos, I. Problematic Internet Use among Greek university students: An ordinal logistic regression with risk factors of negative psychological beliefs, pornographic sites, and online games. Cyberpsychol. Behav. Soc. Netw., 2011, 14(1-2), 51-58.
[http://dx.doi.org/10.1089/cyber.2009.0306] [PMID: 21329443]
[2]
Kyle, R.G.; Wills, J.; Mahoney, C.; Hoyle, L.; Kelly, M.; Atherton, I.M. Obesity prevalence among healthcare professionals in England: A cross-sectional study using the Health Survey for England. BMJ Open, 2017, 7(12), e018498.
[http://dx.doi.org/10.1136/bmjopen-2017-018498] [PMID: 29203505]
[3]
Blake, H.; Harrison, C. Health behaviours and attitudes towards being role models. Br. J. Nurs., 2013, 22(2), 86-94.
[http://dx.doi.org/10.12968/bjon.2013.22.2.86] [PMID: 23587891]
[4]
Malik, S.; Blake, H.; Batt, M. How healthy are our nurses? New and registered nurses compared. Br. J. Nurs., 2011, 20(8), 489-496.
[http://dx.doi.org/10.12968/bjon.2011.20.8.489] [PMID: 21537281]
[5]
Perdikaris, P.; Kletsiou, E.; Gymnopoulou, E.; Matziou, V. The relationship between workplace, job stress and nurses’ tobacco use: A review of the literature. Int. J. Environ. Res. Public Health, 2010, 7(5), 2362-2375.
[http://dx.doi.org/10.3390/ijerph7052362] [PMID: 20623029]
[6]
Lobelo, F.; de Quevedo, I.G. The evidence in support of physicians and health care providers as physical activity role models. Am. J. Lifestyle Med., 2016, 10(1), 36-52.
[http://dx.doi.org/10.1177/1559827613520120] [PMID: 26213523]
[7]
Albert, N.; Butler, R.; Sorrell, J. Factors related to healthy diet and physical activity in hospital-based clinical nurses. Online J. Issues Nurs., 2014, 19(3), 5.
[http://dx.doi.org/10.3912/OJIN.Vol19No03Man05] [PMID: 26824153]
[8]
Iwuala, S.O.; Sekoni, A.O.; Olamoyegun, M.A.; Akanbi, M.A.; Sabir, A.A.; Ayankogbe, O.O. Self-reported physical activity among health care professionals in South-West Nigeria. Niger. J. Clin. Pract., 2015, 18(6), 790-795.
[http://dx.doi.org/10.4103/1119-3077.163275] [PMID: 26289519]
[9]
Buchvold, H.V.; Pallesen, S.; Øyane, N.M.F.; Bjorvatn, B. Associations between night work and BMI, alcohol, smoking, caffeine and exercise - a cross-sectional study. BMC Public Health, 2015, 15(1), 1112.
[http://dx.doi.org/10.1186/s12889-015-2470-2] [PMID: 26558686]
[10]
Raistrick, D.; Russell, D.; Tober, G.; Tindale, A. A survey of substance use by health care professionals and their attitudes to substance misuse patients (NHS Staff Survey). J. Subst. Use, 2008, 13(1), 57-69.
[http://dx.doi.org/10.1080/14659890701237082]
[11]
Anandacoomarasamy, A.; Caterson, I.; Sambrook, P.; Fransen, M.; March, L. The impact of obesity on the musculoskeletal system. Int. J. Obes., 2008, 32(2), 211-222.
[http://dx.doi.org/10.1038/sj.ijo.0803715]
[12]
Luppino, F.S.; de Wit, L.M.; Bouvy, P.F.; Stijnen, T.; Cuijpers, P.; Penninx, B.W.J.H.; Zitman, F.G. Overweight, obesity, and depression: A systematic review and meta-analysis of longitudinal studies. Arch. Gen. Psychiatry, 2010, 67(3), 220-229.
[http://dx.doi.org/10.1001/archgenpsychiatry.2010.2] [PMID: 20194822]
[13]
Mather, A.A.; Cox, B.J.; Enns, M.W.; Sareen, J. Associations of obesity with psychiatric disorders and suicidal behaviors in a nationally representative sample. J. Psychosom. Res., 2009, 66(4), 277-285.
[http://dx.doi.org/10.1016/j.jpsychores.2008.09.008] [PMID: 19302884]
[14]
Health and Safety Executive. Labour force survey - self-reported work-related ill health and workplace injuries. Labour force survey. 2023. Available from: http://www.hse.gov.uk/statistics/lfs/index.htm(Accessed on: May 30, 2023).
[15]
Nicholls, R.; Perry, L.; Duffield, C.; Gallagher, R.; Pierce, H. Barriers and facilitators to healthy eating for nurses in the workplace: An integrative review. J. Adv. Nurs., 2017, 73(5), 1051-1065.
[http://dx.doi.org/10.1111/jan.13185] [PMID: 27732741]
[16]
Marko, S.; Wylie, S.; Utter, J. Enablers and barriers to healthy eating among hospital nurses: A systematic review. Int. J. Nurs. Stud., 2023, 138, 104412.
[http://dx.doi.org/10.1016/j.ijnurstu.2022.104412] [PMID: 36528912]
[17]
Wong, H.; Wong, M.C.S.; Wong, S.Y.S.; Lee, A. The association between shift duty and abnormal eating behavior among nurses working in a major hospital: A cross-sectional study. Int. J. Nurs. Stud., 2010, 47(8), 1021-1027.
[http://dx.doi.org/10.1016/j.ijnurstu.2010.01.001] [PMID: 20116059]
[18]
Amani, R.; Gill, T. Shiftworking, nutrition and obesity: implications for workforce health- A systematic review. Asia Pac. J. Clin. Nutr., 2013, 22(4), 505-515.
[PMID: 24231009]
[19]
Schulte, P.A.; Wagner, G.R.; Ostry, A.; Blanciforti, L.A.; Cutlip, R.G.; Krajnak, K.M.; Luster, M.; Munson, A.E.; O’Callaghan, J.P.; Parks, C.G.; Simeonova, P.P.; Miller, D.B. Work, obesity, and occupational safety and health. Am. J. Public Health, 2007, 97(3), 428-436.
[http://dx.doi.org/10.2105/AJPH.2006.086900] [PMID: 17267711]
[20]
Fujishiro, K.; Lawson, C.C.; Hibert, E.L.; Chavarro, J.E.; Rich-Edwards, J.W. Job strain and changes in the body mass index among working women: A prospective study. Int. J. Obes., 2015, 39(9), 1395-1400.
[http://dx.doi.org/10.1038/ijo.2015.91]
[21]
Cantley, L.F.; Tessier-Sherman, B.; Slade, M.D.; Galusha, D.; Cullen, M.R. Expert ratings of job demand and job control as predictors of injury and musculoskeletal disorder risk in a manufacturing cohort. Occup. Environ. Med., 2016, 73(4), 229-236.
[http://dx.doi.org/10.1136/oemed-2015-102831] [PMID: 26163544]
[22]
Hamidi, M.S.; Boggild, M.K.; Cheung, A.M. Running on empty: A review of nutrition and physicians’ well-being. Postgrad. Med. J., 2016, 92(1090), 478-481.
[http://dx.doi.org/10.1136/postgradmedj-2016-134131] [PMID: 27215232]
[23]
Goettler, A.; Grosse, A.; Sonntag, D. Productivity loss due to overweight and obesity: A systematic review of indirect costs. BMJ Open, 2017, 7(10), e014632.
[http://dx.doi.org/10.1136/bmjopen-2016-014632] [PMID: 28982806]
[24]
Commission on Social Determinants of Health Closing the gap in a generation: Health equity through action on the social determinants of health: Final report of the commission on social determinants of health; World Health Organization, 2008.
[25]
Zamboni, L.; Portoghese, I.; Congiu, A.; Carli, S.; Munari, R.; Federico, A.; Centoni, F.; Rizzini, A.L.; Lugoboni, F. Internet addiction and related clinical problems: A study on italian young adults. Front. Psychol., 2020, 11, 571638.
[http://dx.doi.org/10.3389/fpsyg.2020.571638] [PMID: 33240160]
[26]
International Telecommunication Union. Measuring Digital Development: Facts and Figures 2021—Global and Regional ICT Data. 2021. Available from: https://www.itu.int/en/ITUD/Statistics/Documents/facts/FactsFigures2021.pdf (Accessed on February 28, 2023).
[27]
Griffiths, M. Does Internet and computer “addiction” exist? Some case study evidence. Cyberpsychol. Behav., 2000, 3(2), 211-218.
[http://dx.doi.org/10.1089/109493100316067]
[28]
Block, J.J. Issues for DSM-V: Internet addiction. Am. J. Psychiatry, 2008, 165(3), 306-307.
[http://dx.doi.org/10.1176/appi.ajp.2007.07101556] [PMID: 18316427]
[29]
Phillips, J.G.; Ogeil, R.P.; Blaszczynski, A. Electronic interests and behaviours associated with gambling problems. Int. J. Ment. Health Addict., 2012, 10(4), 585-596.
[http://dx.doi.org/10.1007/s11469-011-9356-z]
[30]
Hayes, S.C.; Wilson, K.G.; Gifford, E.V.; Follette, V.M.; Strosahl, K. Experiential avoidance and behavioral disorders: A functional dimensional approach to diagnosis and treatment. J. Consult. Clin. Psychol., 1996, 64(6), 1152-1168.
[http://dx.doi.org/10.1037/0022-006X.64.6.1152] [PMID: 8991302]
[31]
García-Oliva, C.; Piqueras, J.A. Experiential avoidance and technological addictions in adolescents. J. Behav. Addict., 2016, 5(2), 293-303.
[http://dx.doi.org/10.1556/2006.5.2016.041] [PMID: 27363463]
[32]
Andreou, E.; Svoli, H. The association between internet user characteristics and dimensions of internet addiction among Greek adolescents. Int. J. Ment. Health Addict., 2013, 11(2), 139-148.
[http://dx.doi.org/10.1007/s11469-012-9404-3]
[33]
Morrison, C.M.; Gore, H. The relationship between excessive Internet use and depression: A questionnaire-based study of 1,319 young people and adults. Psychopathology, 2010, 43(2), 121-126.
[http://dx.doi.org/10.1159/000277001] [PMID: 20110764]
[34]
Griffiths, M.D.; Meredith, A. Videogame addiction and its treatment. J. Contemp. Psychother., 2009, 39(4), 247-253.
[http://dx.doi.org/10.1007/s10879-009-9118-4]
[35]
Zboralski, K.; Orzechowska, A.; Talarowska, M.; Darmosz, A.; Janiak, A.; Janiak, M.; Florkowski, A.; Gałecki, P. The prevalence of computer and Internet addiction among pupils. Postepy Hig. Med. Dosw., 2009, 63, 8-12.
[PMID: 19252459]
[36]
Jang, K.S.; Hwang, S.Y.; Choi, J.Y. Internet addiction and psychiatric symptoms among Korean adolescents. J. Sch. Health, 2008, 78(3), 165-171.
[http://dx.doi.org/10.1111/j.1746-1561.2007.00279.x] [PMID: 18307612]
[37]
Cecilia, M.R.; Mazza, M.; Cenciarelli, S.; Grassi, M.; Cofini, V. The relationship between compulsive behavior and internet addiction. Styles Commun, 2013, 5, 24-31.
[38]
Carli, V.; Durkee, T.; Wasserman, D.; Hadlaczky, G.; Despalins, R.; Kramarz, E.; Wasserman, C.; Sarchiapone, M.; Hoven, C.W.; Brunner, R.; Kaess, M. The association between pathological internet use and comorbid psychopathology: A systematic review. Psychopathology, 2013, 46(1), 1-13.
[http://dx.doi.org/10.1159/000337971] [PMID: 22854219]
[39]
González-Bueso, V.; Santamaría, J.; Fernández, D.; Merino, L.; Montero, E.; Ribas, J. Association between internet gaming disorder or pathological video-game use and comorbid psychopathology: A comprehensive review. Int. J. Environ. Res. Public Health, 2018, 15(4), 668.
[http://dx.doi.org/10.3390/ijerph15040668] [PMID: 29614059]
[40]
Gundogar, A.; Bakim, B.; Ozer, O.A.; Karamustafalioglu, O. P-32 - The association between internet addiction, depression and ADHD among high school students. Eur. Psychiatry, 2012, 27(S1), 1-1.
[http://dx.doi.org/10.1016/S0924-9338(12)74199-8] [PMID: 22153731]
[41]
Ko, C.H.; Yen, J.Y.; Yen, C.F.; Chen, C.S.; Chen, C.C. The association between Internet addiction and psychiatric disorder: A review of the literature. Eur. Psychiatry, 2012, 27(1), 1-8.
[http://dx.doi.org/10.1016/j.eurpsy.2010.04.011] [PMID: 22153731]
[42]
Sasmaz, T.; Oner, S.; Kurt, A.O.; Yapici, G.; Yazici, A.E.; Bugdayci, R.; Sis, M. Prevalence and risk factors of Internet addiction in high school students. Eur. J. Public Health, 2014, 24(1), 15-20.
[http://dx.doi.org/10.1093/eurpub/ckt051] [PMID: 23722862]
[43]
Durkee, T.; Carli, V.; Floderus, B.; Wasserman, C.; Sarchiapone, M.; Apter, A.; Balazs, J.; Bobes, J.; Brunner, R.; Corcoran, P.; Cosman, D.; Haring, C.; Hoven, C.; Kaess, M.; Kahn, J.P.; Nemes, B.; Postuvan, V.; Saiz, P.; Värnik, P.; Wasserman, D. Pathological internet use and risk-behaviors among european adolescents. Int. J. Environ. Res. Public Health, 2016, 13(3), 294.
[http://dx.doi.org/10.3390/ijerph13030294] [PMID: 27005644]
[44]
Sung, J.; Lee, J.; Noh, H.M.; Park, Y.S.; Ahn, E.J. Associations between the risk of internet addiction and problem behaviors among Korean adolescents. Korean J. Fam. Med., 2013, 34(2), 115-122.
[http://dx.doi.org/10.4082/kjfm.2013.34.2.115] [PMID: 23560210]
[45]
Wei, H.T.; Chen, M.H.; Huang, P.C.; Bai, Y.M. The association between online gaming, social phobia, and depression: An internet survey. BMC Psychiatry, 2012, 12(1), 92.
[http://dx.doi.org/10.1186/1471-244X-12-92] [PMID: 22839747]
[46]
Shapira, N.A.; Lessig, M.C.; Goldsmith, T.D.; Szabo, S.T.; Lazoritz, M.; Gold, M.S.; Stein, D.J. Problematic internet use: Proposed classification and diagnostic criteria. Depress. Anxiety, 2003, 17(4), 207-216.
[http://dx.doi.org/10.1002/da.10094] [PMID: 12820176]
[47]
Bernardi, S.; Pallanti, S. Internet addiction: A descriptive clinical study focusing on comorbidities and dissociative symptoms. Compr. Psychiatry, 2009, 50(6), 510-516.
[http://dx.doi.org/10.1016/j.comppsych.2008.11.011] [PMID: 19840588]
[48]
Nuutinen, T.; Roos, E.; Ray, C.; Villberg, J.; Välimaa, R.; Rasmussen, M.; Holstein, B.; Godeau, E.; Beck, F.; Léger, D.; Tynjälä, J. Computer use, sleep duration and health symptoms: A cross-sectional study of 15-year olds in three countries. Int. J. Public Health, 2014, 59(4), 619-628.
[http://dx.doi.org/10.1007/s00038-014-0561-y] [PMID: 24848704]
[49]
Tamura, H.; Nishida, T.; Tsuji, A.; Sakakibara, H. Association between excessive use of mobile phone and insomnia and depression among Japanese adolescents. Int. J. Environ. Res. Public Health, 2017, 14(7), 701.
[http://dx.doi.org/10.3390/ijerph14070701] [PMID: 28661428]
[50]
Anderson, K.J. Internet use among college students: An exploratory study. J. Am. Coll. Health, 2001, 50(1), 21-26.
[http://dx.doi.org/10.1080/07448480109595707] [PMID: 11534747]
[51]
Lin, S.S.J.; Tsai, C.C. Sensation seeking and internet dependence of Taiwanese high school adolescents. Comput. Human Behav., 2002, 18(4), 411-426.
[http://dx.doi.org/10.1016/S0747-5632(01)00056-5]
[52]
Ryu, E.J.; Choi, K.S.; Seo, J.S.; Nam, B.W. The relationships of internet addiction, depression, and suicidal ideation in adolescents. Taehan Kanho Hakhoe Chi, 2004, 34(1), 102-110.
[http://dx.doi.org/10.4040/jkan.2004.34.1.102] [PMID: 15314344]
[53]
Young, K.S.; Rogers, R.C. The relationship between depression and Internet addiction. Cyberpsychol. Behav., 1998, 1(1), 25-28.
[http://dx.doi.org/10.1089/cpb.1998.1.25]
[54]
Ziapour, A.; Lebni, J.Y.; Toghroli, R.; Abbas, J. NeJhaddadgar, N.; Salahshoor, M.R.; Mansourian, M.; Gilan, H.D.; Kianipour, N.; Chaboksavar, F.; Azizi, S.A. A study of internet addiction and its effects on mental health: A study based on Iranian University StudentsA study of internet addiction and its effects on mental health: A study based on Iranian University Students. J. Educ. Health Promot., 2020, 9(1), 205.
[http://dx.doi.org/10.4103/jehp.jehp_148_20] [PMID: 33062738]
[55]
Daniels, W.M.U.; Pitout, I.L.; Afullo, T.J.O.; Mabandla, M.V. The effect of electromagnetic radiation in the mobile phone range on the behaviour of the rat. Metab. Brain Dis., 2009, 24(4), 629-641.
[http://dx.doi.org/10.1007/s11011-009-9164-3] [PMID: 19823925]
[56]
Kim, J.H.; Lee, J.K.; Kim, H.G.; Kim, K.B.; Kim, H.R. Possible effects of radiofrequency electromagnetic field exposure on central nerve system. Biomol. Ther., 2019, 27(3), 265-275.
[http://dx.doi.org/10.4062/biomolther.2018.152] [PMID: 30481957]
[57]
Vereshchako, G.G.; Chueshova, N.V.; Gorokh, G.A.; Naumov, A.D. State of the reproductive systemin in male rats of 1st generation obtained from irradiated parents and exposed to electromagnetic radiation (897 MHz) during embryogenesis and postnatal development. Radiats. Biol. Radioecol., 2014, 54(2), 186-192.
[PMID: 25764821]
[58]
Jirillo, E.; Boffola, S.; Stefanelli, R.; Magrone, T.; Vitale, E.; Pappagallo, M.; Lasalvia, M.; Perna, G.; Capozzi, V.; Ermini, A.; Ligonzo, T.; Schiavulli, L.; Biagi, P. In vitro effects of low intensity 1.8 ghz electromagnetic radiation on peripheral blood leukocytes from healthy donors: A Morphometric and morphological study. Adv. Res., 2014, 2(9), 478-493.
[http://dx.doi.org/10.9734/AIR/2014/10168]
[59]
McNamee, J.P.; Bellier, P.V.; Gajda, G.B.; Lavallée, B.F.; Marro, L.; Lemay, E.; Thansandote, A. No evidence for genotoxic effects from 24 h exposure of human leukocytes to 1.9 GHz radiofrequency fields. Radiat. Res., 2003, 159(5), 693-697.
[http://dx.doi.org/10.1667/0033-7587(2003)159[0693:NEFGEF]2.0.CO;2] [PMID: 12710882]
[60]
Waldmann, P.; Bohnenberger, S.; Greinert, R.; Hermann-Then, B.; Heselich, A.; Klug, S.J.; Koenig, J.; Kuhr, K.; Kuster, N.; Merker, M.; Murbach, M.; Pollet, D.; Schadenboeck, W.; Scheidemann-Wesp, U.; Schwab, B.; Volkmer, B.; Weyer, V.; Blettner, M. Influence of GSM signals on human peripheral lymphocytes: Study of genotoxicity. Radiat. Res., 2013, 179(2), 243-253.
[http://dx.doi.org/10.1667/RR2914.1] [PMID: 23316708]
[61]
Xu, S.; Chen, G.; Chen, C.; Sun, C.; Zhang, D.; Murbach, M.; Kuster, N.; Zeng, Q.; Xu, Z. Cell type-dependent induction of DNA damage by 1800 MHz radiofrequency electromagnetic fields does not result in significant cellular dysfunctions. PLoS One, 2013, 8(1), e54906.
[http://dx.doi.org/10.1371/journal.pone.0054906] [PMID: 23355902]
[62]
Sekeroğlu, V.; Akar, A.; Sekeroğlu, Z.A. Cytotoxic and genotoxic effects of high-frequency electromagnetic fields (GSM 1800 MHz) on immature and mature rats. Ecotoxicol. Environm. Safety, 2012, 80(1), 140-144.
[63]
Lasalvia, M.; Scrima, R.; Perna, G.; Piccoli, C.; Capitanio, N.; Biagi, P.F.; Schiavulli, L.; Ligonzo, T.; Centra, M.; Casamassima, G.; Ermini, A.; Capozzi, V. Exposure to 1.8 GHz electromagnetic fields affects morphology, DNA-related Raman spectra and mitochondrial functions in human lympho-monocytes. PLoS One, 2018, 13(2), e0192894.
[http://dx.doi.org/10.1371/journal.pone.0192894] [PMID: 29462174]
[64]
Shahbazi-Gahrouei, D.; Hashemi-Beni, B.; Ahmadi, Z. Effects of RF-EMF Exposure from GSM mobile phones on proliferation rate of human adipose-derived stem cells: An in-vitro study. J. Biomed. Phys. Eng., 2016, 6(4), 243-252.
[PMID: 28144594]
[65]
Lagorio, S.; Blettner, M.; Baaken, D.; Feychting, M.; Karipidis, K.; Loney, T.; Orsini, N.; Röösli, M.; Paulo, M.S.; Elwood, M. The effect of exposure to radiofrequency fields on cancer risk in the general and working population: A protocol for a systematic review of human observational studies. Environ. Int., 2021, 157, 106828.
[http://dx.doi.org/10.1016/j.envint.2021.106828] [PMID: 34433115]
[66]
Romeo, S.; Zeni, O.; Sannino, A.; Lagorio, S.; Biffoni, M.; Scarfì, M.R. Genotoxicity of radiofrequency electromagnetic fields: Protocol for a systematic review of in vitro studies. Environ. Int., 2021, 148, 106386.
[http://dx.doi.org/10.1016/j.envint.2021.106386] [PMID: 33486297]
[67]
Haghani, M. Evaluation of the validity of a nonlinear J-shaped dose-response relationship in cancers induced by exposure to radiofrequency electromagnetic fields. J. Biomed. Phys. Eng., 2019, 9(4), 487-494.
[PMID: 31531303]
[68]
Wall, S.; Wang, Z.M.; Kendig, T.; Dobraca, D.; Lipsett, M. Real-world cell phone radiofrequency electromagnetic field exposures. Environ. Res., 2019, 171, 581-592.
[http://dx.doi.org/10.1016/j.envres.2018.09.015] [PMID: 30448205]
[69]
Bortkiewicz, A. Health effects of Radiofrequency Electromagnetic Fields (RF EMF). Ind. Health, 2019, 57(4), 403-405.
[http://dx.doi.org/10.2486/indhealth.57_400] [PMID: 31378769]
[70]
Prasad, M.; Kathuria, P.; Nair, P.; Kumar, A.; Prasad, K. Mobile phone use and risk of brain tumours: A systematic review of association between study quality, source of funding, and research outcomes. Neurol. Sci., 2017, 38(5), 797-810.
[http://dx.doi.org/10.1007/s10072-017-2850-8]
[71]
Schüz, J.; Pirie, K.; Reeves, G.K.; Floud, S.; Beral, V. Cellular Telephone use and the risk of brain tumors: Update of the UK million women study. J. Natl. Cancer Inst., 2022, 114(5), 704-711.
[http://dx.doi.org/10.1093/jnci/djac042] [PMID: 35350069]
[72]
Weed, D.L. Do cell phones cause brain tumors? Another piece of the puzzle. J. Natl. Cancer Inst., 2022, 114(5), 643-644.
[http://dx.doi.org/10.1093/jnci/djac043] [PMID: 35350076]
[73]
Huang, J.; Chan, S.C.; Lok, V.; Zhang, L.; Lin, X.; Lucero-Prisno, D.E.; Xu, W.; Zheng, Z.J.; Elcarte, E.; Withers, M.; Wong, M.C.S. Disease burden, risk factors, and trends of primary central nervous system (CNS) cancer: A global study of registries data. Neuro-oncol., 2023, 25(5), 995-1005.
[http://dx.doi.org/10.1093/neuonc/noac213] [PMID: 36048182]
[74]
Grigoriyev, I.G.; Biriukov, A.P. Mobile communications and public health: On the risk assessment of anthropogenic electromagnetic pollution of the environment. Med. Radiol. Radiat. Saf, 2013, 58(6), 44-61.
[75]
Cochran, W.G. Sampling Techniques, 2nd ed; John Wiley and Sons, Inc: New York, 1963.
[76]
Stubbs, R.J.; Brogelli, D.J.; Barber, J.; Pallister, C.; Whybrow, S.; Avery, A.; Lavin, J. Service evaluation of weight outcomes as a function of initial BMI in 34,271 adults referred to a primary care/commercial weight management partnership scheme. BMC Res. Notes, 2013, 6(1), 161.
[http://dx.doi.org/10.1186/1756-0500-6-161] [PMID: 23618381]
[77]
Mazzarella, C.; Spina, A.; Dallio, M.; Gravina, A.G.; Romeo, M.; DI Mauro, M.; Loguercio, C.; Federico, A. The analysis of alcohol consumption during the severe acute respiratory syndrome Coronavirus 2 Italian lockdown. Minerva Med., 2022, 113(6), 927-935.
[PMID: 33949179]
[78]
Bull, F.C.; Al-Ansari, S.S.; Biddle, S.; Borodulin, K.; Buman, M.P.; Cardon, G.; Carty, C.; Chaput, J.P.; Chastin, S.; Chou, R.; Dempsey, P.C.; DiPietro, L.; Ekelund, U.; Firth, J.; Friedenreich, C.M.; Garcia, L.; Gichu, M.; Jago, R.; Katzmarzyk, P.T.; Lambert, E.; Leitzmann, M.; Milton, K.; Ortega, F.B.; Ranasinghe, C.; Stamatakis, E.; Tiedemann, A.; Troiano, R.P.; van der Ploeg, H.P.; Wari, V.; Willumsen, J.F. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br. J. Sports Med., 2020, 54(24), 1451-1462.
[http://dx.doi.org/10.1136/bjsports-2020-102955] [PMID: 33239350]
[79]
Charlson, M.E.; Pompei, P.; Ales, K.L.; MacKenzie, C.R. A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. J. Chronic Dis., 1987, 40(5), 373-383.
[http://dx.doi.org/10.1016/0021-9681(87)90171-8] [PMID: 3558716]
[80]
Deyo, R.; Cherkin, D.C.; Ciol, M.A. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J. Clin. Epidemiol., 1992, 45(6), 613-619.
[http://dx.doi.org/10.1016/0895-4356(92)90133-8] [PMID: 1607900]
[81]
Dakanalis, A.; Zanetti, M.A.; Clerici, M.; Madeddu, F.; Riva, G.; Caccialanza, R. Italian version of the Dutch Eating Behavior Questionnaire. Psychometric proprieties and measurement invariance across sex, BMI-status and age. Appetite, 2013, 71, 187-195.
[http://dx.doi.org/10.1016/j.appet.2013.08.010] [PMID: 23994503]
[82]
Kwon, M.; Kim, D.J.; Cho, H.; Yang, S. The smartphone addiction scale: Development and validation of a short version for adolescents. PLoS One, 2013, 8(12), e83558.
[http://dx.doi.org/10.1371/journal.pone.0083558] [PMID: 24391787]
[83]
Kuss, D.; Harkin, L.; Kanjo, E.; Billieux, J. Problematic smartphone use: Investigating contemporary experiences using a convergent design. Int. J. Environ. Res. Public Health, 2018, 15(1), 142.
[http://dx.doi.org/10.3390/ijerph15010142] [PMID: 29337883]
[84]
Fölster, S. Viral mHealth. Glob. Health Action, 2017, 10(S3), 1336006.
[http://dx.doi.org/10.1080/16549716.2017.1336006]
[85]
Tajirian, T.; Stergiopoulos, V.; Strudwick, G.; Sequeira, L.; Sanches, M.; Kemp, J.; Ramamoorthi, K.; Zhang, T.; Jankowicz, D. The influence of electronic health record use on physician burnout: Cross-sectional survey. J. Med. Internet Res., 2020, 22(7), e19274.
[http://dx.doi.org/10.2196/19274] [PMID: 32673234]
[86]
Yang, G.; Cao, J.; Li, Y.; Cheng, P.; Liu, B.; Hao, Z.; Yao, H.; Shi, D.; Peng, L.; Guo, L.; Ren, Z. Association between internet addiction and the risk of musculoskeletal pain in chinese college freshmen – a cross-sectional study. Front. Psychol., 2019, 10, 1959.
[http://dx.doi.org/10.3389/fpsyg.2019.01959] [PMID: 31551859]
[87]
Buneviciene, I.; Bunevicius, A. Prevalence of internet addiction in healthcare professionals: Systematic review and meta-analysis. Int. J. Soc. Psychiatry, 2021, 67(5), 483-491.
[http://dx.doi.org/10.1177/0020764020959093] [PMID: 32962501]
[88]
Ayanniyi, O.; Ukpai, B.O.O.; Adeniyi, A.F. Differences in prevalence of self-reported musculoskeletal symptoms among computer and non-computer users in a Nigerian population: A cross-sectional study. BMC Musculoskelet. Disord., 2010, 11(1), 177.
[http://dx.doi.org/10.1186/1471-2474-11-177] [PMID: 20691092]
[89]
Hellström, C.; Nilsson, K.W.; Leppert, J.; Åslund, C. Effects of adolescent online gaming time and motives on depressive, musculoskeletal, and psychosomatic symptoms. Ups. J. Med. Sci., 2015, 120(4), 263-275.
[http://dx.doi.org/10.3109/03009734.2015.1049724] [PMID: 26072677]
[90]
Dol, K.S. Fatigue and pain related to internet usage among university students. J. Phys. Ther. Sci., 2016, 28(4), 1233-1237.
[http://dx.doi.org/10.1589/jpts.28.1233] [PMID: 27190458]
[91]
Yang, S.Y.; Chen, M.D.; Huang, Y.C.; Lin, C.Y.; Chang, J.H. Association between smartphone use and musculoskeletal discomfort in adolescent students. J. Community Health, 2017, 42(3), 423-430.
[http://dx.doi.org/10.1007/s10900-016-0271-x] [PMID: 27734246]
[92]
Borhany, T.; Shahid, E.; Siddique, W.; Ali, H. Musculoskeletal problems in frequent computer and internet users. J. Family Med. Prim. Care, 2018, 7(2), 337-339.
[http://dx.doi.org/10.4103/jfmpc.jfmpc_326_17] [PMID: 30090774]
[93]
Qin, K.; Zhang, F.; Chen, T.; Li, L.; Li, W.; Suo, X.; Lei, D.; Kemp, G.J.; Gong, Q. Shared gray matter alterations in individuals with diverse behavioral addictions: A voxel-wise meta-analysis. J. Behav. Addict., 2020, 9(1), 44-57.
[http://dx.doi.org/10.1556/2006.2020.00006] [PMID: 32359230]
[94]
Ak, Ş.; Koruklu, N.; Yılmaz, Y. A study on Turkish adolescent’s internet use: Possible predictors of internet addiction. Cyberpsychol. Behav. Soc. Netw., 2013, 16(3), 205-209.
[http://dx.doi.org/10.1089/cyber.2012.0255] [PMID: 23253206]
[95]
Lee, S.J. Online communication and adolescent social ties: Who benefits more from Internet use? J. Comput. Mediat. Commun., 2009, 14(3), 509-531.
[http://dx.doi.org/10.1111/j.1083-6101.2009.01451.x]
[96]
Cao, H.; Sun, Y.; Wan, Y.; Hao, J.; Tao, F. Problematic Internet use in Chinese adolescents and its relation to psychosomatic symptoms and life satisfaction. BMC Public Health, 2011, 11(1), 802.
[http://dx.doi.org/10.1186/1471-2458-11-802] [PMID: 21995654]
[97]
Barke, A.; Nyenhuis, N.; Kröner-Herwig, B. The German version of the internet addiction test: A validation study. Cyberpsychol. Behav. Soc. Netw., 2012, 15(10), 534-542.
[http://dx.doi.org/10.1089/cyber.2011.0616] [PMID: 23002984]
[98]
Kuss, D.; Griffiths, M.; Karila, L.; Billieux, J. Internet addiction: A systematic review of epidemiological research for the last decade. Curr. Pharm. Des., 2014, 20(25), 4026-4052.
[http://dx.doi.org/10.2174/13816128113199990617] [PMID: 24001297]
[99]
Rose, A.J.; Rudolph, K.D. A review of sex differences in peer relationship processes: Potential trade-offs for the emotional and behavioral development of girls and boys. Psychol. Bull., 2006, 132(1), 98-131.
[http://dx.doi.org/10.1037/0033-2909.132.1.98] [PMID: 16435959]
[100]
Salomon, A.; Strobel, M.G. Social network, interpersonal concerns and help-seeking in primary grade school children as a function of sex, performance and economic status. Eur. J. Psychol. Educ., 1997, 12(3), 331-347.
[http://dx.doi.org/10.1007/BF03172880]
[101]
Hinojo-Lucena, F.J.; Aznar-Díaz, I.; Cáceres-Reche, M.P.; Trujillo-Torres, J.M.; Romero-Rodríguez, J.M. Problematic internet use as a predictor of eating disorders in students: A Systematic review and meta-analysis study. Nutrients, 2019, 11(9), 2151.
[http://dx.doi.org/10.3390/nu11092151] [PMID: 31505749]
[102]
Mamun, M.A.; Griffiths, M.D. The assessment of internet addiction in Bangladesh: Why are prevalence rates so different? Asian J. Psychiatr., 2019, 40, 46-47.
[http://dx.doi.org/10.1016/j.ajp.2019.01.017] [PMID: 30735850]
[103]
Leigh-Hunt, N.; Bagguley, D.; Bash, K.; Turner, V.; Turnbull, S.; Valtorta, N.; Caan, W. An overview of systematic reviews on the public health consequences of social isolation and loneliness. Public Health, 2017, 152, 157-171.
[http://dx.doi.org/10.1016/j.puhe.2017.07.035] [PMID: 28915435]
[104]
Grimaldi-Puyana, M.; Fernández-Batanero, J.M.; Fennell, C.; Sañudo, B. Associations of objectively-assessed smartphone use with physical activity, sedentary behavior, mood, and sleep quality in young adults: A cross-sectional study. Int. J. Environ. Res. Public Health, 2020, 17(10), 3499.
[http://dx.doi.org/10.3390/ijerph17103499] [PMID: 32429550]
[105]
Falbe, J.; Rosner, B.; Willett, W.C.; Sonneville, K.R.; Hu, F.B.; Field, A.E. Adiposity and different types of screen time. Pediatrics, 2013, 132(6), e1497-e1505.
[http://dx.doi.org/10.1542/peds.2013-0887] [PMID: 24276840]
[106]
Oliveira, R.G.; Guedes, D.P. Physical activity, sedentary behavior, cardiorespiratory fitness and metabolic syndrome in adolescents: Systematic review and meta-analysis of observational evidence. PLoS One, 2016, 11(12), e0168503.
[http://dx.doi.org/10.1371/journal.pone.0168503] [PMID: 27997601]

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy