Nghiện công việc ở nhân viên văn phòng Trung Quốc: các thuộc tính tâm lý đo lường và sự đồng mắc của nó với lo âu tổng quát trong phân tích mạng
Tóm tắt
Nghiện công việc (WA) đang đe dọa sức khỏe nghề nghiệp ở nhiều quốc gia, trong đó có Trung Quốc. Nghiên cứu này nhằm đánh giá các thuộc tính tâm lý đo lường của phiên bản tiếng Trung của Thang đo Nghiện Công việc Bergen (BWAS), công cụ phổ biến nhất để đánh giá WA, nhằm tạo điều kiện cho các nghiên cứu liên quan ở công nhân Trung Quốc. Một phân tích mạng cũng được thực hiện để xác định các triệu chứng trung tâm và cầu nối trong mạng lưới WA-lo âu nhằm cải thiện thực hành can thiệp.
Tổng cộng có 694 nhân viên văn phòng Trung Quốc thực hiện một khảo sát bảng hỏi trực tuyến vào tháng 3 năm 2022, và các phản hồi về BWAS từ một mẫu phụ gồm 50 người tham gia một tháng sau đó cũng được thu thập.
Tính đơn chiều của BWAS được hỗ trợ bởi kết quả phân tích nhân tố khám phá, phân tích đồ thị khám phá, và phân tích nhân tố khẳng định. Chúng tôi phát hiện độ tin cậy nội bộ đạt yêu cầu và độ ổn định kiểm tra-tái kiểm tra chấp nhận được. Các phân tích nhân tố nhiều nhóm đã xác nhận tính không thay đổi trong đo lường của BWAS giữa các giới tính, các khu vực (tức là, Trung Trung Quốc, Đông Trung Quốc, Tây Trung Quốc, và Đông Bắc Trung Quốc), và các nhóm tuổi (tức là, người trưởng thành trẻ và trung niên), trong khi tính hợp lệ hội tụ của BWAS được chứng minh bằng mối tương quan đáng kể với Thang đo Nghiện Công việc Hà Lan (
Những phát hiện của chúng tôi cho thấy BWAS là một công cụ đo lường WA hợp lệ ở nhân viên Trung Quốc và các can thiệp nên chú ý đặc biệt đến các triệu chứng trung tâm và triệu chứng cầu nối đã xác định trong mạng lưới WA-lo âu.
Từ khóa
#Nghiện công việc #sức khỏe tâm lý #nhân viên văn phòng Trung Quốc #thang đo Bergen #lo âu tổng quát #phân tích mạngTài liệu tham khảo
Quinones C, Griffiths MD. Addiction to work: a critical review of the workaholism construct and recommendations for assessment. J Psychosoc Nurs Ment Health Serv. 2015;53(10):48–59.
Andreassen CS. Workaholism: an overview and current status of the research. J Behav Addict. 2014;3(1):1–11.
Subramanian K. Workaholism—Does working more impact productivity. Int J Innovative Trends Eng. 2018;62(40):69–75.
Griffiths MD, Demetrovics Z, Atroszko PA. Ten myths about work addiction. J Behav Addict. 2018;7(4):845–57.
Griffiths MD. Workaholism—A 21st-century addiction. The Psychologist. 2011;24(10):740–4.
Andreassen CS, Griffiths MD, Hetland J, Pallesen S. Development of a work addiction scale. Scand J Psychol. 2012;53(3):265–72.
Griffiths MD. A ‘components’ model of addiction within a biopsychosocial framework. J Subst Use. 2005;10(4):191–7.
Pontes HM, Király O, Demetrovics Z, Griffiths MD. The conceptualisation and measurement of DSM-5 Internet gaming disorder: the development of the IGD-20 Test. PLoS ONE. 2014;9(10):e110137.
Andreassen CS, Billieux J, Griffiths MD, Kuss DJ, Demetrovics Z, Mazzoni E, et al. The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: a large-scale cross-sectional study. Psychol Addict Behav. 2016;30(2):252–62.
Fino E, Humphries M, Robertson J, Orosz G, Griffiths MD. Factor structure, reliability and criterion-related validity of the English version of the Problematic Series Watching Scale. BJPsych Open. 2022;8(5):e160.
Orosz G, Dombi E, Andreassen CS, Griffiths MD, Demetrovics Z. Analyzing models of work addiction: single factor and bi-factor models of the Bergen Work Addiction Scale. Int J Ment Health Addict. 2016;14:662–71.
Atroszko PA, Pallesen S, Griffiths MD, Andreassen CS. Work addiction in Poland: adaptation of the Bergen Work Addiction Scale and relationship with psychopathology. Health Psychol Rep. 2017;5(4):345–55.
Lichtenstein MB, Malkenes M, Sibbersen C, Hinze CJ. Work addiction is associated with increased stress and reduced quality of life: validation of the Bergen Work Addiction Scale in Danish. Scand J Psychol. 2019;60(2):145–51.
Molino M, Kovalchuk LS, Ghislieri C, Spagnoli P. Work addiction among employees and self-employed workers: an investigation based on the Italian version of the Bergen Work Addiction Scale. Eur J Psychol Assess. 2022;18(3):279–92.
Nazlıgül MD, Arcan K, Griffiths MD. Psychometric properties of the Turkish version of the Bergen Work Addiction Scale. Int J Ment Health Addict. 2022;20:3178–90.
Hu Q, Schaufeli W, Taris T, Hessen D, Hakanen JJ, Salanova M, et al. East is East and West is West and never the twain shall meet: work engagement and workaholism across eastern and western cultures. Methodology. 2014;1:6–24.
Ng TWH, Sorensen KL, Feldman DC. Dimensions, antecedents, and consequences of workaholism: a conceptual integration and extension. J Organ Behav. 2007;28(1):111–36.
Andreassen CS, Griffiths MD, Sinha R, Hetland J, Pallesen S. The relationships between workaholism and symptoms of psychiatric disorders: a large-scale cross-sectional study. PLoS ONE. 2016;11(5):e0152978.
Kasemy ZA, Abd-Ellatif EE, Abdel Latif AA, Bahgat NM, Shereda HMA, Shattla SI, et al. Prevalence of workaholism among Egyptian healthcare workers with assessment of its relation to quality of life, mental health and burnout. Front Public Health. 2020;8:581373.
Oates WE. Confessions of a workaholic: the facts about work addiction. New York: World; 1971.
Robinson BE. Work addiction: hidden legacies of adult children. Health Commun. 1989.
Urbán R, Kun B, Mózes T, Soltész P, Paksi B, Farkas J, et al. A four-factor model of work addiction: the development of the Work Addiction Risk Test Revised. Eur Addict Res. 2019;25(3):145–60.
Spence JT, Robbins AS. Workaholism: definition, measurement, and preliminary results. J Pers Assess. 1992;58(1):160–78.
Schaufeli WB, Shimazu A, Taris TW. Being driven to work excessively hard: the evaluation of a two-factor measure of workaholism in the Netherlands and Japan. Cross Cult Res. 2009;43(4):320–48.
Acosta-Prado JC, Tafur-Mendoza AA, Zárate-Torres RA, Ramírez-Ospina DE. Psychometric properties of heavy work investment measures: a systematic review. Sustain Sci Pract Policy. 2021;13(22):12539.
Flowers CP, Robinson B. A structural and discriminant analysis of the Work Addiction Risk Test. Educ Psychol Meas. 2002;62(3):517–26.
Ravoux H, Pereira B, Brousse G, Dewavrin S, Cornet T, Mermillod M, et al. Work Addiction Test Questionnaire to assess workaholism: validation of French version. JMIR Ment Health. 2018;5(1):e12.
Andreassen CS, Hetland J, Pallesen S. Psychometric assessment of workaholism measures. J Managerial Psychol. 2014;29(1):7–24.
Kanai A, Wakabayashi M, Fling S. Workaholism among employees in Japanese corporations: an examination based on the Japanese version of the Workaholism Scales. Jpn Psychol Res. 1996;38(4):192–203.
Ersoy-Kart M. Reliability and validity of the Workaholism Battery (Work-Bat): Turkish form. Social Behav Personality: Int J. 2005;33(6):609–18.
Huang JC, Hu C, Wu TC. Psychometric properties of the Chinese version of the Workaholism Battery. J Psychol. 2010;144(2):163–83.
Azevedo WF, Mathias LADST. Addiction to work and factors relating to this: a cross-sectional study on doctors in the state of Paraíba. Sao Paulo Med J. 2017;135(6):511–7.
Yang X, Qiu D, Lau MCM, Lau JTF. The mediation role of work-life balance stress and chronic fatigue in the relationship between workaholism and depression among Chinese male workers in Hong Kong. J Behav Addict. 2020;9(2):483–90.
Cheung F, Tang CSK, Lim MSM, Koh JM. Workaholism on job burnout: a comparison between American and Chinese employees. Front Psychol. 2018;9:2546.
Li Y, Xie W, Huo LA. How can work addiction buffer the influence of work intensification on workplace well-being? The mediating role of job crafting. Int J Environ Res Public Health. 2020;17(13):4658.
Clark MA, Michel JS, Zhdanova L, Pui SY, Baltes BB. All work and no play? A meta-analytic examination of the correlates and outcomes of workaholism. J Manage. 2016;42(7):1836–73.
Borsboom D, Cramer AOJ. Network analysis: an integrative approach to the structure of psychopathology. Annu Rev Clin Psychol. 2013;9:91–121.
Beck AT, Emery G, Greenberg R. Anxiety disorders and phobias: a cognitive perspective. Basic Books. 1985.
Schwarzer R, Van der Ploeg HM, Spielberger. CD. Test anxiety: an overview of theory and research. Lawrence Erlbaum Associates; 1982.
Andreassen CS, Pallesen S, Torsheim T. Workaholism as a mediator between work-related stressors and health outcomes. Int J Environ Res Public Health. 2018;15(1):73.
Bartczak M, Ogińska-Bulik N. Workaholism and mental health among Polish academic workers. Int J Occup Saf Ergon. 2012;18(1):3–13.
Bonett DG. Sample size requirements for testing and estimating coefficient alpha. J Educational Behav Stat. 2002;27(4):335–40.
Arifin WN. A web-based sample size calculator for reliability studies. Educ Med J. 2018;10(3):67–76.
DeVet HCW, Terwee C, Mokkink LB, Knol DL. Measurement in medicine: a practical guide. Cambridge: Cambridge University Press; 2011.
Zhang L, Ma S, Mei S. Reliability and validity of Dutch Work Addiction Scale among university teachers. Chin J School Health. 2011;32:1325–7.
Moussa MT, Lovibond PF, Laube R. Psychometric properties of a Chinese version of the short Depression Anxiety Stress Scales (DASS21). Report for New South Wales Transcultural; 2001.
Lovibond SH, Lovibond PF. Manual for the Depression Anxiety Stress Scales. 2nd ed. Psychology Foundation of Australia; 1995.
World Health Organization. Health interview surveys: towards international harmonization of methods and instruments. WHO Regional Publications,.; 1996. European Series, No. 58. ERIC Clearinghouse.
Robine JM, Jagger C, Euro- REVES, Group. Creating a coherent set of indicators to monitor health across Europe: the Euro-REVES 2 project. Eur J Public Health. 2003;13(3 Suppl):6–14.
Golino H, Epskamp S. Exploratory graph analysis: a new approach for estimating the number of dimensions in psychological research. PLoS ONE. 2017;12(6):e0174035.
Golino H, Shi D, Christensen AP, Garrido LE, Nieto MJ, Sadana R, et al. Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: a simulation and tutorial. Psychol Methods. 2020;25(3):292–320.
Friedman J, Hastie T, Tibshirani R. Sparse inverse covariance estimation with the graphical lasso. Biostatistics. 2008;9(3):432–41.
Golino H, Christensen AP, EGAnet. Exploratory graph analysis: a framework for estimating the number of dimensions in multivariate data using network psychometrics. 2019. Retrieved from https://CRAN.R-project.org/package=EGAnet.
West SG, Finch JF, Curran PJ. Structural equation models with nonnormal variables: problems and remedies. In: Hoyle RH, editor. Structural equation modeling: concepts, issues and applications. Newbery Park, CA: Sage; 1995. pp. 56–75.
Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Modeling. 1999;6(1):1–55.
National Bureau of Statistics of China. Division method of eastern, western, central, and northeastern districts in China. 2011; http://www.stats.gov.cn/zt_18555/zthd/sjtjr/dejtjkfr/tjkp/202302/t20230216_1909741.htm.
Sumanen H, Lahelma E, Pietiläinen O, Rahkonen O. The magnitude of occupational class differences in sickness absence: 15-year trends among young and middle-aged municipal employees. Int J Environ Res Public Health. 2017;14(6):625.
Wu X, Cai Q, Huang D, Xiong P, Shi L. Cone-beam computed tomography-based analysis of maxillary sinus pneumatization extended into the alveolar process in different age groups. BMC Oral Health. 2022;22(1):393.
Chen FF. Sensitivity of goodness of fit indexes to lack of measurement invariance. Struct Equ Modeling. 2007;14(3):464–504.
Robinaugh DJ, Millner AJ, McNally RJ. Identifying highly influential nodes in the complicated grief network. J Abnorm Psychol. 2016;125(6):747–57.
Epskamp S, Cramer AO, Waldorp LJ, Schmittmann VD, Borsboom D. Qgraph: network visualizations of relationships in psychometric data. J Stat Softw. 2012;48(4):1–18.
Heeren A, Jones PJ, McNally RJ. Mapping network connectivity among symptoms of social anxiety and comorbid depression in people with social anxiety disorder. J Affect Disord. 2018;228:75–82.
Jones PJ. networktools: Assorted tools for identifying important nodes in networks (R package version 1.0. 0)[Computer software]. 2017.
Epskamp S, Maris G, Waldorp L, Borsboom D. Network psychometrics. Wiley; 2016.
Epskamp S, Borsboom D, Fried EI. Estimating psychological networks and their accuracy: a tutorial paper. Behav Res Methods. 2018;50(1):195–212.
Mullarkey MC, Marchetti I, Beevers CG. Using network analysis to identify central symptoms of adolescent depression. J Clin Child Adolesc Psychol. 2019;48(4):656–68.
Zhou H, Long L. Statistical remedies for common method biases. Adv Psychol Sci. 2004;12(06):942–50.
Howard MC. A review of exploratory factor analysis decisions and overview of current practices: what we are doing and how can we improve? Int J Hum Comput Interact. 2016;32(1):51–62.
Aziz S, Moyer F. Workaholism and occupational health: a translational review. J Appl Biobehav Res. 2018;23(4):e12144.
Dutheil F, Charkhabi M, Ravoux H, Brousse G, Dewavrin S, Cornet T, et al. Exploring the link between work addiction risk and health-related outcomes using job-demand-control model. Int J Environ Res Public Health. 2020;17(20):7594.
Araki S, Iwasaki K. Death due to overwork (Karoshi): causation, health service, and life expectancy of japanese males. JMAJ. 2005;48(2):92–8.
Falco A, Girardi D, Kravina L, Trifiletti E, Bartolucci GB, Capozza D, et al. The mediating role of psychophysic strain in the relationship between workaholism, job performance, and sickness absence. J Occup Environ Med. 2013;55(11):1255–61.
Hakanen J, Peeters M. How do work engagement, workaholism, and the work-to-family interface affect each other? A 7-year follow-up study. J Occup Environ Med. 2015;57(6):601–9.
Cossin T, Thaon I, Lalanne L. Workaholism prevention in occupational medicine: a systematic review. Int J Environ Res Public Health. 2021;18(13):7109.
Porter G. Organizational impact of workaholism: suggestions for researching the negative outcomes of excessive work. J Occup Health Psychol. 1996;1(1):70–84.
Brand M, Rumpf HJ, Demetrovics Z, MÜller A, Stark R, King DL, et al. Which conditions should be considered as disorders in the International classification of Diseases (ICD-11) designation of “other specified disorders due to addictive behaviors”? J Behav Addictions. 2020;11(2):150–9.
Lecours A. Using an occupational perspective to understand behaviours fostering the prevention of work-related health problems: a proposed conceptual model. J Occup Sci. 2020;27(2):222–35.
Musinszki Z, Vallasek M, Mélypataki G, Csolák EH, Lipták K. Workaholism and a new generation–labour market survey among Hungarian and Romanian youth. Amfiteatru Economic. 2020;22(Special 14):1227–42.
Ngo JDY, Thomson WM. Dry mouth—an overview. Singap Dent J. 2015;36(1):12–7.
Lovibond PF, Lovibond SH. The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behav Res Ther. 1995;33(3):335–43.
De Boer MF, McCormick LK, Pruyn JF, Ryckman RM, van den Borne BW. Physical and psychosocial correlates of head and neck cancer: a review of the literature. Otolaryngol Head Neck Surg. 1999;120(3):427–36.
Kim SS, Youn HJ. Associated factors of self-reported dry mouth in adults. J Korean Soc Dent Hygiene. 2015;15(1):55–62.
Kandelman D, Petersen PE, Ueda H. Oral health, general health, and quality of life in older people. Spec Care Dentist. 2008;28(6):224–36.
Naito M, Yuasa H, Nomura Y, Nakayama T, Hamajima N, Hanada N. Oral health status and health-related quality of life: a systematic review. J Oral Sci. 2006;48(1):1–7.
Ohara Y, Kawai H, Shirobe M, Iwasaki M, Motokawa K, Edahiro A, et al. Association between dry mouth and physical frailty among community-dwelling older adults in Japan: the Otassha study. Gerodontology. 2022;39(1):41–8.
Owens J, Gibson BJ, Periyakaruppiah K, Baker SR, Robinson PG. Impairment effects, disability and dry mouth: exploring the public and private dimensions. Health. 2014;18(5):509–25.
Koutsimani P, Montgomery A, Georganta K. The relationship between burnout, depression, and anxiety: a systematic review and meta-analysis. Front Psychol. 2019;10:284.
Larson GE, Booth-Kewley S, Merrill LL, Stander VA. Physical symptoms as indicators of depression and anxiety. Mil Med. 2001;166(9):796–9.
Zhang H, Tang L, Ye Z, Zou P, Shao J, Wu M, et al. The role of social support and emotional exhaustion in the association between work-family conflict and anxiety symptoms among female medical staff: a moderated mediation model. BMC Psychiatry. 2020;20(1):266.
van Wijhe CI, Schaufeli WB, Peeters MCW. Understanding and treating workaholism: setting the stage for successful interventions. Risky business: Psychological, physical and financial costs of high risk behavior in organizations. 2016.
Funkhouser CJ, Chacko AA, Correa KA, Kaiser AJE, Shankman SA. Unique longitudinal relationships between symptoms of psychopathology in youth: a cross-lagged panel network analysis in the ABCD study. J Child Psychol Psychiatry. 2021;62(2):184–94.
Spitzer EG, Benfer N, Zuromski KL, Marx BP, Witte TK. Examining unique and prospective relationships among self-injurious thoughts and behaviors and posttraumatic stress disorder: a network analysis in two trauma-exposed samples. Psychol Med. 2022;52(4):664–74.
Zainal NH, Newman MG. A cross-lagged prospective network analysis of depression and anxiety and cognitive functioning components in midlife community adult women. Psychol Med. 2022;10:1–12.
Silaški N. X-collar workers in the new economy-the role of metonymy in coining new terms in English. Jezici i kulture u vremenu i prostoru. 2012.
Polit DF. Getting serious about test–retest reliability: a critique of retest research and some recommendations. Qual Life Res. 2014;23:1713–20.
Sussman S, Workaholism. A review. J Addict Res Ther. Suppl 2012;6(1):1–18.