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Gepubliceerd in:

30-06-2023

Global stress and daily general and type 1 diabetes stressors and links to daily affect and diabetes outcomes during emerging adulthood

Auteurs: Cynthia A. Berg, Eunjin Lee Tracy, Silas B. Boggess, Jonathan E. Butner, Maria D. Ramirez Loyola, Deborah J. Wiebe

Gepubliceerd in: Journal of Behavioral Medicine | Uitgave 1/2024

Abstract

We examined how global stress and general stressors of daily life relate to emotional well-being and type 1 diabetes (T1D) outcomes and amplify the effects of diabetes stressors in emerging adults. Two-hundred and seven 18-19-year-olds with T1D (duration 8.47 years) completed the Perceived Stress Scale (global stress) and a daily diary assessing daily diabetes and general stressors, positive and negative affect, self-care behaviors, and blood glucose (BG). Multi-level analyses indicated that global stress and within-person daily general and diabetes stressors were associated with more negative and less positive affect. In addition, general stress (between-person) was associated with more negative affect. Global stress amplified the association between daily diabetes stressors and negative affect, with greater affect reactivity to stress for those experiencing higher global stress. Global stress and both within- and between-person diabetes stressors were associated with lower self-care and higher BG. Emerging adults’ general stressors in their daily lives relate to poorer well-being beyond the experience of diabetes stressors.

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Because of the overlap between two of the diabetes stressors (forgetting or skipping a blood sugar test and taking the wrong amount of insulin) and the items on the self-care inventory, we repeated these analyses by removing these items from the diabetes checklist. The results indicated that diabetes stressors were not a significant predictor of self-care, although all other effects remained the same.

Aljawarneh, Y. M., Al-Qaissi, N. M., & Ghunaim, H. Y. (2020). Psychological interventions for adherence, metabolic control, and coping with stress in adolescents with type 1 diabetes: A systematic review. World Journal of Pediatrics, 16(5), 456–470. https://doi.org/10.1007/s12519-020-00352-6.CrossRefPubMed

Almeida, D. M., Wethington, E., & Kessler, R. C. (2002). The daily inventory of stressful events: An interview-based Approach for Measuring Daily Stressors. Assessment, 9(1), 41–55. https://doi.org/10.1177/1073191102091006.CrossRefPubMed

Arnett, J. J. (2000). Emerging adulthood: A theory of Development from the late teens through the Twenties. American Psychologist, 55(5), 469–480. https://doi.org/10.1037/0003-066X.55.5.469.CrossRefPubMed

Baucom, K. J. W., Queen, T. L., Wiebe, D. J., Turner, S. L., Wolfe, K. L., Godbey, E. I., & Berg, C. A. (2015). Depressive symptoms, daily stress, and adherence in late adolescents with type 1 diabetes. Health Psychology, 34(5), 522–530.CrossRefPubMedPubMedCentral

Berg, C. A., Helgeson, V. S., Kelly, C. S., Tracy, E. L., Litchman, M. L., & Butner, J. E. (2020). Age differences in reactivity to daily general and type 1 diabetes stressors. Psychology and Aging, 35(8), 1115–1126.CrossRefPubMed

Beveridge, R. M., Berg, C. A., Wiebe, D. J., & Palmer, D. A. (2006). Mother and Adolescent Representations of Illness Ownership and Stressful Events Surrounding Diabetes. Journal of Pediatric Psychology, 31, 818–827.

Bolger, N., & Laurenceau, J. P. (2013). Methodology in the social sciences. Intensive longitudinal methods: An introduction to diary and experience sampling research. The Guilford Press.

Chao, A. M., Minges, K. E., Park, C., Dumser, S., Murphy, K. M., Grey, M., & Whittemore, R. (2016). General Life and Diabetes-Related stressors in early adolescents with type 1 diabetes. Journal of Pediatric Health Care, 30(2), 133–142. https://doi.org/10.1016/j.pedhc.2015.06.005.CrossRefPubMed

Chiang, J. L., Maahs, D. M., Garvey, K. C., Hood, K. K., Laffel, L. M., Weinzimer, S. A., & Schatz, D. (2018). Type 1 diabetes in children and adolescents: A position statement by the american Diabetes Association. Diabetes Care, 41(9), 2026–2044. https://doi.org/10.2337/dci18-0023.CrossRefPubMedPubMedCentral

Cohen, S., Gianaros, P. J., & Manuck, S. B. (2016). A stage model of stress and disease. Perspectives on Psychological Science, 11(4), 456–463. https://doi.org/10.1177/1745691616646305.CrossRefPubMedPubMedCentral

Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24(4), 385–396. https://doi.org/10.2307/2136404.CrossRefPubMed

Cranford, J. A., Shrout, P. E., Iida, M., Rafaeli, E., Yip, T., & Bolger, N. (2006). A Procedure for evaluating sensitivity to within-person change: Can Mood Measures in Diary Studies Detect Change reliably? Personality and Social Psychology Bulletin, 32(7), 917–929. https://doi.org/10.1177/0146167206287721.CrossRefPubMed

Ehrmann, D., Schmitt, A., Priesterroth, L., Kulzer, B., Haak, T., & Hermanns, N. (2022). Time with Diabetes Distress and Glycemia-Specific distress: New Patient-Reported outcome measures for the Psychosocial Burden of Diabetes using Ecological Momentary Assessment in an observational study. Diabetes Care, 45(7), 1522–1531. https://doi.org/10.2337/dc21-2339.CrossRefPubMed

Ellis, D. A., Carcone, A. I., Slatcher, R., Naar-King, S., Hains, A., Graham, A., & Sibinga, E. (2019). Efficacy of mindfulness-based stress reduction in emerging adults with poorly controlled, type 1 diabetes: A pilot randomized controlled trial. Pediatric Diabetes, 20(2), 226–234. https://doi.org/10.1111/pedi.12807.CrossRefPubMed

Graham, J. W. (2009). Missing Data Analysis: Making it work in the Real World. Annual Review of Psychology, 60, 549–576. https://doi.org/10.1146/annurev.psych.58.110405.085530.CrossRefPubMed

Helgeson, V. S., Escobar, O., Siminerio, L., & Becker, D. (2010). Relation of Stressful Life events to metabolic control among adolescents with diabetes: 5-Year longitudinal study. Health Psychology, 29(2), 153–159. https://doi.org/10.1037/a0018163.CrossRefPubMedPubMedCentral

Hilliard, M. E., Yi-Frazier, J. P., Hessler, D., Butler, A. M., Anderson, B. J., & Jaser, S. (2016). Stress and A1c among people with diabetes across the Lifespan. Current Diabetes Reports, 16(8), https://doi.org/10.1007/s11892-016-0761-3.

Hoffman, L., & Stawski, R. S. (2009). Persons as contexts: Evaluating between-person and within-person effects in longitudinal analysis. Research in Human Development, 6(2–3), 97–120. https://doi.org/10.1080/15427600902911189.CrossRef

IBM Corp (2020). IBM SPSS Statistics for Windows, Version 27.0.

La Greca, A. M., Follansbee, D., & Skyler, J. S. (1990). Developmental and behavioral aspects of Diabetes Management in Youngsters. CHC, 19(3), 132–139.

Lansing, A. H., Berg, C. A., Butner, J., & Wiebe, D. J. (2016). Self-control, daily negative affect, and blood glucose control in adolescents with type 1 diabetes. Health Psychology, 35(7), 643–651. https://doi.org/10.1037/hea0000325.CrossRef

Miller, K. M., Foster, N. C., Beck, R. W., Bergensta, R. M., DuBose, S. N., DiMeglio, L. A., & Tamborlane, W. V. (2015). Current state of type 1 diabetes treatment in the U.S.: Updated data from the t1d exchange clinic registry. Diabetes Care, 38(6), 971–978. https://doi.org/10.2337/dc15-0078.CrossRefPubMed

Murray, K., Crisp, D. A., Burns, R. A., & Byrne, D. (2020). Psychometric validation of the emerging adult stress inventory (EASI). Psychological Assessment, 32(12), 1133–1144. https://doi.org/10.1037/pas0000952.CrossRefPubMed

Nelson, L. A., Greevy, R. A., Spieker, A., Wallston, K. A., Elasy, T. A., Kripalani, S., & Mayberry, L. S. (2021). Effects of a tailored text messaging intervention among diverse adults with type 2 diabetes: Evidence from the 15-Month REACH Randomized Controlled Trial. Diabetes Care, 44(1), 26–34. https://doi.org/10.2337/dc20-0961.CrossRefPubMed

Peters, A., Laffel, L., Albright, A., Anderson, B., Bloomgarden, Z. T., Childs, B., & Puryear, J. (2011). Diabetes care for emerging adults: Recommendations for transition from pediatric to adult diabetes care systems: A position statement of the ADA, with representation by the ACOFP, the AAP, the AACE, the AOA the CDCP, Children with Diabet., The ES, the ISP. In Diabetes Care (Vol. 34, Issue 11, pp. 2477–2485). https://doi.org/10.2337/dc11-1723

Piazza, J. R., Charles, S. T., Sliwinski, M. J., Mogle, J., & Almeida, D. M. (2013). Affective reactivity to daily stressors and long-term risk of reporting a chronic physical health condition. Annals of Behavioral Medicine, 45(1), 110–120. https://doi.org/10.1007/s12160-012-9423-0.CrossRefPubMed

Polonsky, W. H., Fisher, L. E., Earles, J., Dudl, R. J., Lees, J., Mullan, J., & Jackson, R. A. (2005). Assessing psychosocial distress in diabetes development of the diabetes distress scale. Diabetes Care, 28(3), 626–631.CrossRefPubMed

Pyatak, E. A., Hernandez, R., Pham, L. T., Mehdiyeva, K., Schneider, S., Peters, A., & Metz, D. S. (2021). Function and emotion in everyday life with type 1 diabetes (feel-T1d): Protocol for a fully remote intensive longitudinal study. JMIR Research Protocols, 10(10), https://doi.org/10.2196/30901.

Raudenbush, S. W., & Bryk, A. S. (2001). Hierarchical linear models: Applications and data analysis methods. Sage.

Rechenberg, K., Whittemore, R., Holland, M., & Grey, M. (2017). General and diabetes-specific stress in adolescents with type 1 diabetes. Diabetes Research and Clinical Practice, 130, 1–8. https://doi.org/10.1016/j.diabres.2017.05.003.CrossRefPubMedPubMedCentral

Search for Diabetes in Youth Study Group (2014). Prevalence of Diabetes in US Youth in 2009: The SEARCH for Diabetes in Youth Study. Diabetes Care, 37, 402–408.

Thorpe, C. T., Johnson, H., Deshpande, M., Thorpe, J. M., & Fisher, E. B. (2013). Facilitating healthy coping in patients with diabetes: A systematic review. The Diabetes Educator, 39(1), 33–52. https://doi.org/10.1177/0145721712464400.CrossRefPubMed

Tracy, E. L., Berg, C. A., Kelly, C. S., Kent de Grey, R. G., Litchman, M. L., Allen, N. A., & Helgeson, V. S. (2021). Daily stress spillover and crossover in couples coping with type 1 diabetes. Journal of Family Psychology, 35(5), https://doi.org/10.1037/fam0000819.

Wentzell, K., Vessey, J. A., & Laffel, L. M. B. (2020). How Do the Challenges of Emerging Adulthood Inform our Understanding of Diabetes Distress? An Integrative Review. In Current Diabetes Reports (Vol. 20, Issue 6, pp. 1–14). Springer. https://doi.org/10.1007/s11892-020-01301-3

Zhaoyang, R., Scott, S. B., Smyth, J. M., Kang, J. E., & Sliwinski, M. J. (2021). Emotional responses to stressors in everyday life predict long-term trajectories of depressive symptoms. Annals of Behavioral Medicine, 54(6), 402–412. https://doi.org/10.1093/ABM/KAZ057.CrossRef

Titel: Global stress and daily general and type 1 diabetes stressors and links to daily affect and diabetes outcomes during emerging adulthood
Auteurs: Cynthia A. Berg
Eunjin Lee Tracy
Silas B. Boggess
Jonathan E. Butner
Maria D. Ramirez Loyola
Deborah J. Wiebe
Publicatiedatum: 30-06-2023
Uitgeverij: Springer US
Gepubliceerd in: Journal of Behavioral Medicine / Uitgave 1/2024
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521
DOI: https://doi.org/10.1007/s10865-023-00425-7

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