Sensory processing sensitivity as a predictor of health-related quality of life outcomes via stress and sleep quality
Ellis, B. J., Boyce, W. T., Belsky, J., Bakermans-Kranenburg, M. J. & Van Ijzendoorn, M. H. Differential susceptibility to the environment: An evolutionary–neurodevelopmental theory. Dev. Psychopathol. 23, 7–28 (2011).
Google Scholar
Belsky, J. & Pluess, M. Beyond diathesis stress: Differential susceptibility to environmental influences. Psychol. Bull. 135, 885–908. (2009).
Google Scholar
Belsky, J. Variation in Susceptibility to Environmental Influence: An Evolutionary Argument. Psychol. Inq. 8, 182–186. (1997).
Google Scholar
Boyce, W. T. & Ellis, B. J. Biological sensitivity to context: I. An evolutionary–developmental theory of the origins and functions of stress reactivity. Devel. Psychopathol. 17, 271–301. (2005).
Google Scholar
Aron, E. N. & Aron, A. Sensory-processing sensitivity and its relation to introversion and emotionality. J. Pers. Soc. Psychol. 73, 345–368 (1997).
Google Scholar
Aron, E. N., Aron, A. & Jagiellowicz, J. Sensory processing sensitivity: A review in the light of the evolution of biological responsivity. Pers. Soc. Psychol. Rev. 16, 262–282. (2012).
Google Scholar
Homberg, J. R., Schubert, D., Asan, E. & Aron, E. N. Sensory processing sensitivity and serotonin gene variance: Insights into mechanisms shaping environmental sensitivity. Neurosci. Biobehav. Rev. 71, 472–483. (2016).
Google Scholar
Greven, C. U. et al. Sensory Processing Sensitivity in the context of Environmental Sensitivity: A critical review and development of research agenda. Neurosci. Biobehav. Rev. 98, 287–305. (2019).
Google Scholar
Smolewska, K. A., McCabe, S. B. & Woody, E. Z. A psychometric evaluation of the highly sensitive person scale: The components of sensory-processing sensitivity and their relation to the BIS/BAS and “Big Five”. Pers. Indiv. Diff. 40, 1269–1279. (2006).
Google Scholar
Aron, E. N., A., A. Are there positive and negative facets of high sensitivity? (2010).
Booth, C., Standage, H. & Fox, E. Sensory-processing sensitivity moderates the association between childhood experiences and adult life satisfaction. Pers. Indiv.Diff. 87, 24–29. (2015).
Google Scholar
Pluess, M. et al. Environmental sensitivity in children: Development of the Highly Sensitive Child Scale and identification of sensitivity groups. Devel. Psychol. 54, 51–70. (2018).
Google Scholar
Acevedo, B. P. The basics of sensory processing sensitivity. In The Highly Sensitive Brain (ed. Acevedo, B. P.) (Academic Press, 2020).
Chacón, A., Pérez-Chacón, M., Borda-Mas, M., Avargues-Navarro, M. L. & López-Jiménez, A. M. <p>Cross-cultural adaptation and validation of the highly sensitive person scale to the adult spanish population (HSPS-S). PRBM 14, 1041–1052. (2021).
Google Scholar
Pérez-Chacón, M., Borda-Mas, M., Chacón, A. & Avargues-Navarro, M. L. Personality traits and coping strategies as psychological factors associated with health-related quality of life in highly sensitive persons. Int. J. Environ. Res. Public Health 20, 5644. (2023).
Google Scholar
Benham, G. The highly sensitive person: Stress and physical symptom reports. Pers. Indiv. Diff. 40, 1433–1440. (2006).
Google Scholar
Listou Grimen, H. & Diseth, Å. Sensory processing sensitivity: factors of the highly sensitive person scale and their relationships to personality and subjective health complaints. Perceptual Motor Skills 123, 637–653. (2016).
Google Scholar
Jawer, M. Environmental sensitivity: A neurobiological phenomenon?. Sem. Integr. Med. 3, 104–109. (2005).
Google Scholar
Jonsson, K., Grim, K. & Kjellgren, A. Do highly sensitive persons experience more Nonordinary states of consciousness during sensory isolation?. Soc. Behav. Pers. 42, 1495–1506. (2014).
Google Scholar
Liss, M., Mailloux, J. & Erchull, M. J. The relationships between sensory processing sensitivity, alexithymia, autism, depression, and anxiety. Pers. Indiv. Diff. 45, 255–259. (2008).
Google Scholar
Evers, A., Rasche, J. & Schabracq, M. J. High sensory-processing sensitivity at work. Int. J. Stress Manag. 15, 189–198. (2008).
Google Scholar
Brown, N. B. & Dunn, W. Relationship between context and sensory processing in children with autism. Am. J. Occup.Ther. 64, 474–483. (2010).
Google Scholar
Engel-Yeger, B. & Shochat, T. The relationship between sensory processing patterns and sleep quality in healthy adults. Can. J. Occup. Ther. 79, 134–141. (2012).
Google Scholar
Shochat, T., Tzischinsky, O. & Engel-Yeger, B. Sensory hypersensitivity as a contributing factor in the relation between sleep and behavioral disorders in normal schoolchildren. Behav. Sleep Med. 7, 53–62. (2009).
Google Scholar
Ottoni, G. L., Lorenzi, T. M. & Lara, D. R. Association of temperament with subjective sleep patterns. J. Affect. Disord. 128, 120–127. (2011).
Google Scholar
Park, C. I. et al. Relationships between chronotypes and affective temperaments in healthy young adults. J. Affect. Disord. 175, 256–259. (2015).
Google Scholar
Rihmer, Z., Akiskal, K. K., Rihmer, A. & Akiskal, H. S. Current research on affective temperaments. Curr. Opin. Psychiatr. 23, 12. (2010).
Google Scholar
Pohl, P. S., Dunn, W. & Brown, C. The role of sensory processing in the everyday lives of older adults. OTJR Occup. Partic. Health 23, 99–106. (2003).
Google Scholar
Engel-Yeger, B. Validating the adolescent/adult sensory profile and examining its ability to screen sensory processing difficulties among israeli people. Br. J. Occup. Ther. 75, 321–329. (2012).
Google Scholar
Jagiellowicz, J., Zarinafsar, S. & Acevedo, B. P. Chapter 4 – Health and social outcomes in highly sensitive persons. In The Highly Sensitive Brain (ed. Jagiellowicz, J.) (Academic Press, 2020).
Costa-López, B., Ferrer-Cascales, R., Ruiz-Robledillo, N., Albaladejo-Blázquez, N. & Baryła-Matejczuk, M. Relationship between sensory processing and quality of life: A systematic review. J. Clin. Med. 10, 3961. (2021).
Google Scholar
Genizi, J. et al. Sensory processing difficulties correlate with disease severity and quality of life among children with migraine. Front. Neurol. (2019).
Google Scholar
Sinclair, C., Meredith, P., Strong, J. & Chalkiadis, G. A. Sensory modulation: an important piece of the disability puzzle for adolescents with persistent pain. Clin. J. Pain 35, 121. (2019).
Google Scholar
Kinnealey, M., Koenig, K. P. & Smith, S. Relationships between sensory modulation and social supports and health-related quality of life. Am. Occup. Ther. 65, 320–327. (2011).
Google Scholar
Stern, B. Z., Strober, L. B. & Goverover, Y. Relationship between sensory processing patterns, trait anxiety, and health-related quality of life in multiple sclerosis. J. Health Psychol. 26, 2106–2117. (2021).
Google Scholar
Lionetti, F. et al. The role of environmental sensitivity in the development of rumination and depressive symptoms in childhood: A longitudinal study. Eur. J. Child Adolescent Psychiatr. 31, 1815–1825. (2022).
Google Scholar
Di Paola, L. et al. The role of environmental sensitivity in the relationship between childhood maltreatment and self-conscious emotions of shame and guilt: A brief report. Psychol. Rep. (2023).
Google Scholar
Fortunato, V. J. & Harsh, J. Stress and sleep quality: The moderating role of negative affectivity. Pers. Indiv. Diff. 41, 825–836. (2006).
Google Scholar
Spector, P. E., Zapf, D., Chen, P. Y. & Frese, M. Why negative affectivity should not be controlled in job stress research: don’t throw out the baby with the bath water. J. Organ. Behav. 21, 79–95 (2000).
Google Scholar
Baryła-Matejczuk, M. et al. Psychological Aspects of Human High Sensitivity: Concepts -Identification -Support. Academic Handbook. ISBN electronic version: 978–83–67550–04–8, (2023).
Pieroni, I., Raffone, A. & Simione, L. Sleep reactivity mediates the relationship between sensory-processing sensitivity and insomnia symptoms severity: A cross-sectional correlational study. Stress Health. (2024).
Google Scholar
May, A. K. et al. The role of environmental sensitivity in the mental health of Syrian refugee children: a multi-level analysis. Mol. Psychiatr. (2024).
Google Scholar
Aron, E. N., Aron, A. & Davies, K. M. Adult shyness: The interaction of temperamental sensitivity and an adverse childhood environment. Pers. Soc. Psychol. Bull. 31, 181–197. (2005).
Google Scholar
Lionetti, F. et al. Dandelions, tulips and orchids: Evidence for the existence of low-sensitive, medium-sensitive and high-sensitive individuals. Transl. Psychiatr. 8, 1–11. (2018).
Google Scholar
Bakker, K. & Moulding, R. Sensory-processing sensitivity, dispositional mindfulness and negative psychological symptoms. Pers. Indiv. Diff. 53, 341–346. (2012).
Google Scholar
Redfearn, R. A., van Ittersum, K. W. & Stenmark, C. K. The impact of sensory processing sensitivity on stress and burnout in nurses. Int. J. Stress Manag. 27, 370–379. (2020).
Google Scholar
Boyce, W. T. et al. Psychobiologic reactivity to stress and childhood respiratory illnesses: Results of two prospective studies. Psychos. Med. 57, 411. (1995).
Google Scholar
Gannon, L., Banks, J., Shelton, D. & Luchetta, T. The mediating effects of psychophysiological reactivity and recovery on the relationship between environmental stress and illness. J. Psychos. Res. 33, 167–175. (1989).
Google Scholar
Åkerstedt, T. et al. Predicting sleep quality from stress and prior sleep—A study of day-to-day covariation across sixweeks. Sleep Med. 13, 674–679. (2012).
Google Scholar
Deng, X., Liu, X. & Fang, R. Evaluation of the correlation between job stress and sleep quality in community nurses. Medicine. (2020).
Google Scholar
Hu, Y., Visser, M. & Kaiser, S. Perceived stress and sleep quality in midlife and later: Controlling for genetic and environmental influences. Behav. Sleep Med. 18, 537–549. (2020).
Google Scholar
Shani-Adir, A., Rozenman, D., Kessel, A. & Engel-Yeger, B. The relationship between sensory hypersensitivity and sleep quality of children with atopic dermatitis. Pediatr. Dermatol. 26, 143–149. (2009).
Google Scholar
Hartman, A. G. et al. Characterizing sleep differences in children with and without sensory sensitivities. Front. Psychol. (2022).
Google Scholar
Kalmbach, D. A., Anderson, J. R. & Drake, C. L. The impact of stress on sleep: Pathogenic sleep reactivity as a vulnerability to insomnia and circadian disorders. J. Sleep Res. (2018).
Google Scholar
Johnson, T. P. Snowball Sampling: Introduction. In Wiley StatsRef: Statistics Reference Online (ed. Johnson, T. P.) (Wiley, 2014).
World Medical Association. World Medical Association Declaration of Helsinki: Ethical principles for medical research involving human subjects. JAMA 310, 2191–2194. (2013).
Google Scholar
Şengül-İnal, G. & Sümer, N. Exploring the multidimensional structure of sensory processing sensitivity in Turkish samples. Curr. Psychol. J. Diverse Persp. Diverse Psychol. Issues 39, 194–206. (2020).
Google Scholar
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R. & Kupfer, D. J. The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research. Psychiatr. Res. 28, 193–213. (1989).
Google Scholar
Hita-Contreras, F. et al. Reliability and validity of the spanish version of the Pittsburgh sleep quality Index (PSQI) in patients with fibromyalgia. Rheumatol. Int. 34, 929–936. (2014).
Google Scholar
Otero, P., Simón, M. A., Bueno, A. M., Blanco, V. & Vázquez, F. L. Factorial Structure and psychometric properties of the Spanish version of the Pittsburgh sleep quality index in non-professional caregivers. Healthcare 11, 67. (2023).
Google Scholar
Zhong, Q.-Y., Gelaye, B., Sánchez, S. E. & Williams, M. A. Psychometric properties of the Pittsburgh sleep quality index (PSQI) in a Cohort of Peruvian pregnant women. J. Clin. Sleep Med. 11, 869–877. (2015).
Google Scholar
Lovibond, P. F. & Lovibond, S. H. The structure of negative emotional states: comparison of the depression anxiety stress scales (DASS) with the beck depression and anxiety inventories. Behav. Res. Ther. 33, 335–343. (1995).
Google Scholar
Bados, A., Solanas, A. & Andrés, R. Propiedades Psicométricas De La Versión Española De las escalas de depresión, ansiedad y estrés (DASS). Psicothema 17, 679–683 (2005).
Vilagut, G. et al. Interpretación de los cuestionarios de salud SF-36 y SF-12 en España: componentes físico y mental. Medicina Clínica 130, 726–735. (2008).
Google Scholar
Ware, J. E., Kosinski, M., Turner-Bowker, D. M. & Gandek, B. User’s Manual for the SF-12v2 Health Survey. (QualityMetric, 2009). https://doi.org/10.1097/00005650-199603000-00003
Ware, J. E., Kosinski, M. & Keller, S. D. A 12-item short-form health survey: Construction of scales and preliminary tests of reliability and validity. Med. Care 34, 220 (1996).
Google Scholar
Berger, V. W. & Zhou, Y. Kolmogorov-Smirnov Test: Overview. In Wiley StatsRef: Statistics Reference Online (ed. Berger, V. W.) (Wiley, 2014).
Hernández-Lalinde, J. et al. Sobre el uso adecuado del coeficiente de correlación de Pearson: verificación de supuestos mediante un ejemplo aplicado a las ciencias de la salud. Archivos Venezolanos de Farmacología y Terapéutica 37, 552–561 (2018).
Bentler, P. M. Comparative fit indexes in structural models. Psychol. Bull. 107, 238–246. (1990).
Google Scholar
Kline, T. J. Psychological testing: A practical approach to design and evaluation. Sage publications (2005).
Tay, R. Correlation, Variance Inflation and Multicollinearity in Regression Model. Journal of the Eastern Asia Society for Transportation Studies 12, 2006–2015 (2017).
Vandenberg, R. J. & Lance, C. E. A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organ. Res. Methods 3, 4–69. (2000).
Google Scholar
Byrne, B. M. & Byrne, B. M. Structural Equation Modeling With EQS: Basic Concepts, Applications, and Programming 2nd edn. (Routledge, 2006).
Hu, L. & Bentler, P. M. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct. Equ. Model. A Multidiscipl. J. 6, 1–55. (1999).
Google Scholar
Shi, D. & Maydeu-Olivares, A. The effect of estimation methods on SEM fit indices. Educ. Psychol. Measur. 80, 421–445. (2020).
Google Scholar
Schumacker, R. E. & Lomax, R. G. A Beginner’s Guide to Structural Equation Modeling (Routledge & CRC Press, 2006).
Razak, N. I. A., Zamzuri, Z. H. & Suradi, N. R. M. Bootstrapping technique in structural equation modeling: A Monte Carlo study. J. Phys. (2018).
Google Scholar
Westland, C. J. Lower bounds on sample size in structural equation modeling. Electron. Commerce Res. Appl. 9, 476–487. (2010).
Google Scholar
Deguchi, Y. et al. Relationships between temperaments, occupational stress, and insomnia among Japanese workers. PLoS One. (2017).
Google Scholar
van de Laar, M., Verbeek, I., Pevernagie, D., Aldenkamp, A. & Overeem, S. The role of personality traits in insomnia. Sleep Med. Rev. 14, 61–68. (2010).
Google Scholar
Larsgård, B. & Saksvik-Lehouillier, I. The predictive power of personality traits on insomnia symptoms: A longitudinal study of shift workers. Pers. Indiv. Differ. 115, 35–42. (2017).
Google Scholar
Milner, C. E., Cuthbert, B. P., Kertesz, R. S. & Cote, K. A. Sensory gating impairments in poor sleepers during presleep wakefulness. NeuroReport 20, 331. (2009).
Google Scholar
Khodarahimi, S., Mirderikvand, F. & Amraei, K. Negative affectivity, sensory processing hypersensitivity, sleep quality and dreams: A conceptual model for generalised anxiety disorder in adults. Curr. Psychol 42, 368–377. (2023).
Google Scholar
Lee, S., Kim, J. H. & Chung, J. H. The association between sleep quality and quality of life: a population-based study. Sleep Med. 84, 121–126. (2021).
Google Scholar
David, S. et al. Sensory processing sensitivity and axonal microarchitecture: Identifying brain structural characteristics for behavior. Br. Struct. Funct. 227, 2769–2785. (2022).
Google Scholar
link
