Psychometric properties and predictive validity of the PP-ACT

References

• Centers for Disease Control and Prevention. Most recent national asthma data Atlanta, GA; 2020 [cited 2021 Oct 12]. https://www.cdc.gov/asthma/most_recent_national_asthma_data.htm.
   Google Scholar
• Nurmagambetov T, Kuwahara R, Garbe PL. The economic burden of asthma in the United States, 2008-2013. Ann Am Thorac Soc. 2018;15(3):348–356. doi:10.1513/AnnalsATS.201703-259OC.
   PubMed Web of Science ®Google Scholar
• Masoli M, Fabian D, Holt S, Beasley RD, Global Initiative for Asthma (GINA) Program. The global burden of asthma: executive summary of the GINA Dissemination Committee Report. Allergy. 2004;59(5):469–478. doi:10.1111/j.1398-9995.2004.00526.x.
   PubMed Web of Science ®Google Scholar
• Centers for Disease Control and Prevention. Asthma facts—CDC’s national asthma control program grantees Atlanta, GA; 2013 [cited 2021 Oct 12]. https://www.cdc.gov/asthma/pdfs/asthma_facts_program_grantees.pdf.
   Google Scholar
• National Heart Lung and Blood Institute. Expert Panel Report 3 (EPR-3): guidelines for the diagnosis and management of asthma-summary report. J Allergy Clin Immunol Pract. 2007;120(5):s94–s138.
   Web of Science ®Google Scholar
• Bruzzese J, Bonner S, Vincent EJ, Sheares BJ, Mellins RB, Levison MJ, Wiesemann S, Du Y, Zimmerman BJ, Evans D. Asthma education: the adolescent experience. Patient Educ Couns. 2004;55(3):392–406.
   Web of Science ®Google Scholar
• Cui W, Zack MM, Zahran HS. Health-related quality of life and asthma among United States adolescents. J Pediatr. 2015;166(2):358–364. doi:10.1016/j.jpeds.2014.10.005.
   PubMed Web of Science ®Google Scholar
• Global Initiative for Asthma (GINA). GINA report, Global Strategy for Asthma Management and Prevention Fontana, WI USA; 2021 [cited 2021 Dec 16]. ttps://ginasthma.org/gina-reports/.
   Google Scholar
• Nathan RA, Sorkness CA, Kosinski M, Schatz M, Li JT, Marcus P, Murray JJ, Pendergraft TB. Development of the Asthma Control Test: a survey for assessing asthma control. J Allergy Clin Immun. 2004;113(1):59–65. doi:10.1016/j.jaci.2003.09.008.
   PubMed Web of Science ®Google Scholar
• Bime C, Gerald JK, Wei CY, Holbrook JT, Teague WG, Wise RA, Gerald LB. Measurement characteristics of the childhood asthma-control test and a shortened, child-only version. Npj Prim Care Resp Med. 2016;26(1):16075. doi:10.1038/npjpcrm.2016.75.
   PubMed Web of Science ®Google Scholar
• Calfee CS, Katz PP, Yelin EH, Iribarren C, Eisner MD. The influence of perceived control of asthma on health outcomes. Chest. 2006;130(5):1312–1318. doi:10.1378/chest.130.5.1312.
   PubMed Web of Science ®Google Scholar
• duRivage N, Ross M, Mayne SL, Suh A, Weng D, Grundmeier RW, Fiks AG. Asthma Control Test: comparing parent proxy with parent and child report for children 6 to 12 years. Clin Pediatr (Phila)). 2017;56(4):341–347. doi:10.1177/0009922816675013.
   PubMed Web of Science ®Google Scholar
• Lam PH, Levine CS, Chiang JJ, Shalowitz MU, Story RE, Hayen R, Sinard RN, Chen E. Family obligations and asthma in youth: the moderating role of socioeconomic status. Health Psychol. 2018;37(10):968–978. doi:10.1037/hea0000655.
   PubMed Web of Science ®Google Scholar
• Przybyszowski M, Stachura T, Szafraniec K, Sladek K, Bochenek G. The influence of self-assessment of asthma control on the Asthma Control Test outcome. J Asthma. 2021;58(4):537–546. doi:10.1080/02770903.2019.1708098.
   PubMed Web of Science ®Google Scholar
• Fletcher M, Hiles D. Continuing discrepancy between patient perception of asthma control and real-world symptoms: a quantitative online survey of 1,083 adults with asthma from the UK. Prim Care Respir J. 2013;22(4):431–438. doi:10.4104/pcrj.2013.00091.
   PubMedGoogle Scholar
• Menzies-Gow A, Chiu G. Perceptions of asthma control in the United Kingdom: a cross-sectional study comparing patient and healthcare professionals’ perceptions of asthma control with validated ACT scores. NPJ Prim Care Respir Med. 2017;27(1):48. doi:10.1038/s41533-017-0050-x.
   PubMed Web of Science ®Google Scholar
• Revelle W, Rocklin T. Very simple structure: an alternative procedure for estimating the optimal number of interpretable factors. Multivariate Behav Res. 1979;14(4):403–414. doi:10.1207/s15327906mbr1404_2.
   PubMed Web of Science ®Google Scholar
• Kenny DA. Cross-lagged panel design. Encyclopedia of statistics in behavioral science. New York: John Wiley & Sons; 2005. doi:10.1002/0470013192.bsa156.
   Google Scholar
• Drotar D, Bonner MS. Influences on adherence to pediatric asthma treatment: a review of correlates and predictors. J Dev Behav Pediatr. 2009;30(6):574–582. doi:10.1097/DBP.0b013e3181c3c3bb.
   PubMed Web of Science ®Google Scholar
• Brainerd CJ, Reyna VF. Explaining "memory free" reasoning. Psychol Sci. 1992;3(6):332–339. doi:10.1111/j.1467-9280.1992.tb00042.x.
   Web of Science ®Google Scholar
• Shepperd JA, Maki J, Prabhakaran S, Pogge G, Webster GD, Waters EA. Proxy social comparison among caregivers of children with asthma. Unpublished manuscript, University of Florida, 2022.
   Google Scholar
• Spray J, Hunleth J, Ruiz S, Maki J, Prabhakaran S, Fechtel H, Shepperd JA, Bowen DJ, Waters EA. How do the embodied experiences of asthma influence caregiver conceptual models? Soc Sci Med. 2022. doi:10.1016/j.socscimed.2022.114706.
   Google Scholar
• Spray J, Carter CR, Waters EA, Hunleth JM. Not breathing easy: "disarticulated homework" in asthma management. Med Anthropol Q. 2021;35(2):285–302. doi:10.1111/maq.12628.
   PubMed Web of Science ®Google Scholar
• Paulhus DL, Vazire S. The self-report method. In: Robins RW, Fraley RC, Krueger RF, editors. New York (NY): Guilford; 2007. p. 224–239.
   Google Scholar
• Velicer W. Determining the number of components from the matrix of partial correlations. Psychometrika. 1976;41(3):321–327. doi:10.1007/BF02293557.
   Web of Science ®Google Scholar