Hostname: page-component-76fb5796d-skm99 Total loading time: 0 Render date: 2024-04-26T04:18:28.367Z Has data issue: false hasContentIssue false

Time Attitude Profiles and Health-Related Behaviors: Validation of a Spanish Version of the Adolescent and Adult Time Inventory–Time Attitudes (AATI-TA)

Published online by Cambridge University Press:  20 November 2020

Alejandro Vásquez-Echeverría*
Affiliation:
Universidad de la República Uruguay (Uruguay)
Lucía Álvarez-Núñez
Affiliation:
Universidad de la República Uruguay (Uruguay)
Zena Mello
Affiliation:
San Francisco State University (USA)
Frank C. Worrell
Affiliation:
University of California Berkeley (USA)
*
Correspondence concerning this article should be addressed to Alejandro Vásquez-Echeverría. Universidad de la República Uruguay. Facultad de Psicología. Instituto de Fundamentos y Métodos en Psicología. Tristán Narvaja, 1674. Montevideo (Uruguay). E-mail: avasquez@psico.edu.uy.

Abstract

Temporal psychology constructs are an individual difference variable related to behavioral outcomes. Recent research has shown that there are different time attitude profiles based on different configurations of the six Adolescent and Adult Time Inventory-Time Attitude (AATI-TA) subscales. The objective of this study was to analyze the psychometric properties of AATI-TA scores in Uruguay and determine the existence of temporal profiles in this context. Participants were a convenience sample of 446 (36.5% males) adults in Uruguay with a mean age of 34.53 years (SD = 13.17, range 18–75 years). Participants completed a sociodemographic questionnaire, the AATI-TA, and questionnaires on intentions, behaviors, and attitudes towards healthy food consumption and physical activity. AATI-TA scores had good reliabilities (> .70). The six-factor solution was supported and invariance by gender and age group was established. We identified five profiles – Resilients, High Positives, Negatives, Present Negatives, and Moderate Positives – which were associated differently with healthy food consumption patterns. Negative profiles were related to higher levels of unhealthy food consumption.

Type
Research Article
Copyright
© Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Conflicts of Interest: None.

Funding Statement: This research received no specific grant from any funding agency, commercial or not-for-profit sectors.

References

Ajzen, L. (2005). Attitudes, personality, and behavior. McGraw-Hill Education.Google Scholar
Alansari, M., Worrell, F. C., Rubie-Davies, C., & Webber, M. (2013). Adolescent Time Attitude Scale (ATAS) scores and academic outcomes in secondary school females in New Zealand. International Journal of Quantitative Research in Education, 1(3), 251274. https://doi.org/10.1504/IJQRE.2013.057687CrossRefGoogle Scholar
American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (2018). Estándares para pruebas educativas y psicológicas [Standards for educational and psychological testing]. American Educational Research Association.Google Scholar
Andre, L., van Vianen, A. E. M., Peetsma, T. T. D., & Oort, F. J. (2018). Motivational power of future time perspective: Meta-analyses in education, work, and health. PLoS ONE, 13, Article e0190492. https://doi.org/10.1371/journal.pone.0190492CrossRefGoogle Scholar
Andretta, J. R., Worrell, F. C., & Mello, Z. R. (2014). Predicting educational outcomes and psychological well-being in adolescents using time attitude profiles. Psychology in the Schools, 51(5), 434451. http://doi.org/10.1002/pits.21762CrossRefGoogle Scholar
Andretta, J. R., Worrell, F. C., Mello, Z. R., Dixson, D. D., & Baik, S. H. (2013). Demographic group differences in adolescents' time attitudes. Journal of Adolescence, 36(2), 289301. http://doi.org/10.1016/j.adolescence.2012.11.005CrossRefGoogle ScholarPubMed
Buhl, M., & Lindner, D. (2009). Time perspectives in adolescence: Measurement, profiles and links with personality characteristics and scholastic experience. Diskurs Kindheits und Jungendforschung, 4(2), 197216.Google Scholar
Çelik, E., Sahranç, Ü., Kaya, M., & Turan, M. E. (2017). Adolescent time Attitude Scale: Adaptation into Turkish. Universal Journal of Educational Research, 5(2), 249254. https://doi.org/10.13189/ujer.2017.050210CrossRefGoogle Scholar
Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9(2), 233255. https://doi.org/10.1207/s15328007sem0902_5CrossRefGoogle Scholar
Chishima, Y., Murakami, T., Worrell, F. C., & Mello, Z. R. (2019). The Japanese version of the Adolescent Time Inventory-Time Attitudes (ATI-TA) scale: Internal consistency, structural validity, and convergent validity. Assessment, 26(2), 181192. https://doi.org/10.1177/1073191116683800CrossRefGoogle ScholarPubMed
Cole, J. C., Andretta, J. R., & McKay, M. T. (2017). An exploratory examination of the viability and meaningfulness of time attitudes profiles in adults. Personality and Individual Differences, 106, 146151. https://doi.org/10.1016/j.paid.2016.10.046CrossRefGoogle Scholar
Craig, C. L., Marshall, A. L., Sjöström, M., Bauman, A. E., Booth, M. L., Ainsworth, B. E., Pratt, M., Ekelund, U., Ingve, A., Sallis, J. F., & Oja, P. (2003). International physical activity questionnaire: 12-country reliability and validity. Medicine & Science in Sports & Exercise, 35(8), 13811395. https://doi.org/10.1249/01.MSS.0000078924.61453.FBCrossRefGoogle ScholarPubMed
Donati, M. A., Boncompagni, J., Scabia, A., Morsanyi, K., & Primi, C. (2019). Using the Adolescent Time Inventory–Time Attitudes (ATI) to assess time attitudes in Italian adolescents and young adults: Psychometric properties and validity. International Journal of Behavioral Development, 43(5), 424435. https://doi.org/10.1177/0165025418797020CrossRefGoogle Scholar
Ferguson, C. J. (2009). An effect size primer: A guide for clinicians and researchers. Professional Psychology: Research and Practice, 40(5), 532538. https://doi.org/10.1037/a0015808CrossRefGoogle Scholar
Graham, J. W. (2009). Missing data analysis: Making it work in the real world. Annual Review of Psychology, 60, 549576. https://doi.org/10.1146/annurev.psych.58.110405.085530CrossRefGoogle ScholarPubMed
Joireman, J., Shaffer, M. J., Balliet, D., & Strathman, A. (2012). Promotion orientation explains why future-oriented people exercise and eat healthy: Evidence from the two-factor Consideration of Future Consequences-14 Scale. Personality and Social Psychology Bulletin, 38(10), 12721287. https://doi.org/10.1177/0146167212449362CrossRefGoogle ScholarPubMed
Jung, T., & Wickrama, K. A. S. (2008). An introduction to latent class growth analysis and growth mixture modeling. Social and Personality Psychology Compass, 2, 302317. https://doi.org/10.1111/j.1751-9004.2007.00054.xCrossRefGoogle Scholar
Juriševič, M., Worrell, F. C., & Mello, Z. R. (2017). Measuring time attitudes in Slovenia: Psychometric properties of the Adolescent and Adult Time Attitudes Scale (AATI-TA). Horizons of Psychology, 26, 8997. https://doi.org/10.20419/2017.26.472Google Scholar
Keough, K. A., Zimbardo, P. G., & Boyd, J. N. (1999). Who's smoking, drinking, and using drugs? Time perspective as a predictor of substance use. Basic and Applied Social Psychology, 21(2), 149164. http://doi.org/10.1207/S15324834BA210207CrossRefGoogle Scholar
Konowalczyk, S., Mello, Z. R., Röske, L. A. S., Buhl, M., Heim, R., & Worrell, F. C. (2018). Adolescent and Adult Time Inventory-Time Attitude Scales: Validity and contributions to physical activity and self-concept in Spanish adolescents. International Perspectives in Psychology: Research, Practice, Consultation, 7(2), 7690. https://doi.org/10.1037/ipp0000084Google Scholar
Lang, F. R., & Carstensen, L. L. (2002). Time counts: Future time perspective, goals, and social relationships. Psychology and Aging, 17(1), 125139. https://doi.org/10.1037/0882-7974.17.1.125CrossRefGoogle ScholarPubMed
Marsh, H. W., Hau, K.-T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler’s (1999) findings. Structural Equation Modeling: A Multidisciplinary Journal, 11(3), 320341. https://doi.org/10.1207/s15328007sem1103_2CrossRefGoogle Scholar
McKay, M. T., Andretta, J. R., Cole, J. C., Konowalczyk, S., Wells, K. C., & Worrell, F. C. (2018). Time attitudes profile stability and transitions: An exploratory study on adolescent health behaviors among high school students. Journal of Adolescence, 69, 4451. https://doi.org/10.1016/j.adolescence.2018.09.002CrossRefGoogle Scholar
McKay, M. T., Andretta, J. R., Magee, J., & Worrell, F. C. (2014). What do temporal profiles tell us about adolescent alcohol use? Results from a large sample in the United Kingdom. Journal of Adolescence, 37(8), 13191328. https://doi.org/10.1016/j.adolescence.2014.09.008CrossRefGoogle ScholarPubMed
McKay, M. T., Cole, J. C., Percy, A., Worrell, F. C., & Mello, Z. R. (2015). Reliability and factorial validity of Adolescent Time Inventory-Time Attitude (ATI-TA) scores in Scottish and Northern Irish adolescents. Personality and Individual Differences, 86, 412416. https://doi.org/10.1016/j.paid.2015.06.040CrossRefGoogle Scholar
McKay, M. T., Perry, J. L., Cole, J. C., & Worrell, F. C. (2018). What time is it? Temporal psychology measures relate differently to alcohol-related health outcomes. Addiction Research & Theory, 26(1), 2027. https://doi.org/10.1080/16066359.2017.1309032CrossRefGoogle Scholar
McKay, M. T., Worrell, F. C., Temple, E. C., Perry, J. L., Cole, J. C., & Mello, Z. R. (2015). Less is not always more: The case of the 36-item short form of the Zimbardo Time Perspective Inventory. Personality and Individual Differences, 72, 6871. https://doi.org/10.1016/j.paid.2014.08.018CrossRefGoogle Scholar
Meade, A. W., Johnson, E. C., & Braddy, P. W. (2008). Power and sensitivity of alternative fit indices in tests of measurement invariance. Journal of Applied Psychology, 93(3), 568592. https://doi.org/10.1037/0021-9010.93.3.568CrossRefGoogle ScholarPubMed
Mello, Z. R., Oladipo, S. E., Paoloni, V. C., & Worrell, F. C. (2019). Time perspective and risky behaviors among Nigerian young adults. Journal of Adult Development, 26(3), 161171. https://doi.org/10.1007/s10804-018-9304-2CrossRefGoogle Scholar
Mello, Z. R., & Worrell, F. C. (2007). The Adolescent Time Inventory-English. https://faculty.sfsu.edu/sites/default/files/faculty_files/2844/AATI_English_1%20(1).pdfGoogle Scholar
Mello, Z. R., Worrell, F. C., Alvarez-Nuñez, L. & Vásquez-Echeverría, A. (2018). The Adolescent and Adult Time Inventory – Rio de la Plata Spanish. Unpublished scale. Facultad de Psicología, Universidad de la República (Argentina).Google Scholar
Mello, Z. R., Worrell, F. C., Anguiano, R. M., & Mendoza-Denton, R. (2010). The Adolescent and Adult Time Inventory – Spanish. https://faculty.sfsu.edu/~zmello/content/adolescent-and-adult-time-inventory-aatiGoogle Scholar
Mello, Z. R., Zhang, J. W., Barber, S. J., Paoloni, V. C., Howell, R. T., & Worrell, F. C. (2016). Psychometric properties of time attitude scores in young, middle, and older adult samples. Personality and Individual Differences, 101, 5761. https://doi.org/10.1016/j.paid.2016.05.037CrossRefGoogle Scholar
Milfont, T. K., Andrade, P. R., Belo, R. P., & Pessoa, V. S. (2008). Testing Zimbardo Time Perspective Inventory in a Brazilian sample. Interamerican Journal of Psychology, 42(1), 4958.Google Scholar
Morgan, G. B., Wells, K. E., Andretta, J. R., & McKay, M. T. (2017). Temporal attitudes profile transition among adolescents: A longitudinal examination using mover−stayer latent transition analysis. Psychological Assessment, 29(7), 890901. https://doi.org/10.1037/pas0000383CrossRefGoogle ScholarPubMed
Murphy, L., & Dockray, S. (2018). The consideration of future consequences and health behavior: A meta-analysis. Health Psychology Review, 12, 357381. https://doi.org/10.1080/17437199.2018.1489298CrossRefGoogle ScholarPubMed
Muthén, L. K., & Muthén, B. O. (2017). Mplus user’s guide (8th Ed.). Author.Google Scholar
Şahin-Baltaci, H., Tagay, Ö., Worrell, F. C., & Mello, Z. R. (2017). Psychometric properties of Turkish Adolescent Time Inventory-Time Attitudes (ATI- TA) scores. International Perspectives in Psychology: Research, Practice, Consultation, 6(1), 4759. https://doi.org/10.1037/ipp0000066Google Scholar
Sircova, A., van de Vijver, F. J. R., Osin, E., Milfont, T. L., Fieulaine, N., Kislali-Erginbilgic, A., Zimbardo, P. G., & 54 members of the International Time Perspective Research Project (2014). A global look at time: A 24-country study of the equivalence of the Zimbardo Time Perspective Inventory. Sage Open, 4(1). http://doi.org/10.1177/2158244013515686CrossRefGoogle Scholar
Svetina, D., Rutkowski, L., & Rutkowski, D. (2020). Multiple-group invariance with categorical outcomes using updated guidelines: An illustration using Mplus and the lavaan/semTools packages. Structural Equation Modeling: A Multidisciplinary Journal, 27(1), 111130. https://doi.org/10.1080/10705511.2019.1602776CrossRefGoogle Scholar
Temple, E., Perry, J. L., Worrell, F. C., Zivkovic, U., Mello, Z. R., Musil, B., Cole, J. C., & McKay, M. T. (2019). The Zimbardo Time Perspective Inventory: Time for a new strategy, not more new shortened versions. Time & Society, 28(3), 11671180. http://doi.org/10.1177/0961463X17718102CrossRefGoogle Scholar
van Beek, J., Antonides, G., & Handgraaf, M. J. J. (2013). Eat now, exercise later: The relation between consideration of immediate and future consequences and healthy behavior. Personality and Individual Differences, 54, 785791. https://doi.org/10.1016/j.paid.2012.12.015 https://apps.who.int/iris/bitstream/handle/10665/272596/9789241565585-eng.pdf?ua=1CrossRefGoogle Scholar
Worrell, F. C., & Andretta, J. R. (2019). Time attitude profiles in American adolescents: Educational and psychological correlates. Research in Human Development, 16(2), 102118. https://doi.org/10.1080/15427609.2019.1635860CrossRefGoogle Scholar
Worrell, F. C., McKay, M. T., & Andretta, J. R. (2018). Psychometric properties of Adolescent Time Inventory-Time Attitude (ATI-TA) scores in three waves of longitudinal data. Psychological Assessment, 30(1), 106115. https://doi.org/10.1037/pas0000457CrossRefGoogle ScholarPubMed
Worrell, F. C., & Mello, Z. R. (2009). Convergent and discriminant validity of time attitude scores on the Adolescent Time Perspective Inventory. Diskurs Kindheits und Jugendforschung, 4(2), 185196.Google Scholar
Worrell, F. C., Mello, Z. R., & Buhl, M. (2013). Introducing English and German versions of the Adolescent Time Attitude Scale (ATAS). Assessment, 4(4), 496510. https://doi.org/10.1177/1073191110396202CrossRefGoogle Scholar
Worrell, F. C., Mello, Z. R., Laghi, F., Baiocco, R., & Lonigro, A. (2020). Time perspective constructs in Albanian and Italian adolescents: Exploratory analyses. Psychological Reports. Advance online publication. https://doi.org/10.1177/0033294120913493CrossRefGoogle ScholarPubMed
Worrell, F. C., Merino Soto, C., Mello, Z. R., & Mendoza-Denton, R. (2018, May). Examining Adolescent and Adult Time Inventory (AATI) scores in Peru [Poster presentation]. Association for Psychological Science Annual Meeting, San Francisco, CA, United States.Google Scholar
Worrell, F. C., Temple, E. C., McKay, M. T., Živkovič, U., Perry, J. L., Mello, Z. R., Musil, B., & Cole, J. C. (2018). A theoretical approach to the Zimbardo Time Perspective Inventory: Results from America, Australia, Slovenia, and the United Kingdom. European Journal of Psychological Assessment, 34(1), 4151. https://doi.org/10.1027/1015-5759/a000313CrossRefGoogle Scholar
Wu, H., & Estabrook, R. (2016). Identification of confirmatory factor analysis models of different levels of invariance for ordered categorical outcomes. Psychometrika, 81, 10141045. https://doi.org/10.1007/s11336-016-9506-0CrossRefGoogle ScholarPubMed
Zimbardo, P. G., Keough, K. A., & Boyd, J. N. (1997). Present time perspective as a predictor of risky driving. Personality and Individual Differences, 23(6), 10071023. http://doi.org/10.1016/S0191-8869(97)00113-XGoogle Scholar
Zimbardo, P. G., & Boyd, J. N. (1999). Putting time in perspective: A valid, reliable individual-differences metric. Journal of Personality and Social Psychology, 77(6), 12711288. https://doi.org/10.1037/0022-3514.77.6.1271CrossRefGoogle Scholar
Supplementary material: File

Vásquez-Echeverría et al. supplementary material

Vásquez-Echeverría et al. supplementary material

Download Vásquez-Echeverría et al. supplementary material(File)
File 18.5 KB