
Holmes, T. H. & Rahe, R. H. The social readjustment rating scale. J. Psychosomatic Res. 11, 213–218 (1967).
Slavich, G. M. & Irwin, M. R. From stress to inflammation and major depressive disorder: a social signal transduction theory of depression. Psychol. Bull. 140, 774 (2014).
Google Scholar
Köhler, C. A. et al. Mapping risk factors for depression across the lifespan: an umbrella review of evidence from meta-analyses and Mendelian randomization studies. J. Psychiatr. Res. 103, 189–207 (2018).
Google Scholar
Harkness, K. L. & Monroe, S. M. The assessment and measurement of adult life stress: basic premises, operational principles, and design requirements. J. Abnormal Psychol. 125, 727–745 (2016).
Masuda, M. & Holmes, T. H. Life events: perceptions and frequencies. Psychosom. Med. 40, 236–261 (1978).
Google Scholar
Lazarus, R. S. & Folkman, S.Stress, Appraisal, And Coping (Springer Publishing Company, 1984).
Diener, E. Subjective well-being. Psychol. Bull. 95, 542 (1984).
Google Scholar
Diener, E., Oishi, S. & Tay, L. Advances in subjective well-being research. Nat. Hum. Behav. 2, 253–260 (2018).
Google Scholar
Ryan, R. M. & Deci, E. L. On happiness and human potentials: a review of research on hedonic and eudaimonic well-being. Annu. Rev. Psychol. 52, 141–166 (2001).
Google Scholar
Watson, D., Clark, L. A. & Tellegen, A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J. Personal. Soc. Psychol. 54, 1063 (1988).
Google Scholar
Howarth, E. J. et al. Are stressful life events prospectively associated with increased suicidal ideation and behaviour? a systematic review and meta-analysis. J. Affect. Disord. 266, 731–742 (2020).
Google Scholar
Luhmann, M., Hofmann, W., Eid, M. & Lucas, R. E. Subjective well-being and adaptation to life events: a meta-analysis. J. Personal. Soc. Psychol. 102, 592 (2012).
Google Scholar
Potter, S. et al. Trajectories of multiple subjective well-being facets across old age: the role of health and personality. Psychol. Aging 35, 894 (2020).
Google Scholar
Fried, E. I. & Nesse, R. M. Depression sum-scores don’t add up: why analyzing specific depression symptoms is essential. BMC Med. 13, 1–11 (2015).
Google Scholar
Kalisch, R., Müller, M. B. & Tüscher, O. A conceptual framework for the neurobiological study of resilience. Behav. Brain Sci. 38, e92 (2015).
Google Scholar
Mattingly, S. M. et al. The tesserae project: Large-scale, longitudinal, in situ, multimodal sensing of information workers. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, Paper CS11, 1–8 (Association for Computing Machinery, New York, NY, USA, 2019). https://doi.org/10.1145/3290607.3299041.
Dohrenwend, B. S., Askenasy, A. R., Krasnoff, L. & Dohrenwend, B. P. Exemplification of a method for scaling life events: the peri-life events scale. J. Health Social Behav. 19, 205–229 (1978).
Google Scholar
Saha, K. et al. What life events are disclosed on social media, how, when, and by whom? In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems 1–22. Article 335, 1–22 (Association for Computing Machinery, New York, NY, USA, 2021). https://doi.org/10.1145/3411764.3445405.
Saha, K., Yoo, D. W., Das Swain, V. & De Choudhury, M. Mental wellbeing effects of disclosing life events on social media. Scientific Reports 15, 23519 (2025).
Google Scholar
Wang, R. et al. Studentlife: assessing mental health, academic performance and behavioral trends of college students using smartphones. In Proc. 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. 3–14 (Association for Computing Machinery, New York, NY, USA, 2014). https://doi.org/10.1145/2632048.2632054.
Saha, K., Chan, L., De Barbaro, K., Abowd, G. D. & De Choudhury, M. Inferring mood instability on social media by leveraging ecological momentary assessments. In Proc. ACM Interactive, Mobile, Wearable and Ubiquitous Technologies 1, Article 95. (Association of Computing Machinery, New York, NY, USA, 2017).
Bin Morshed, M. et al. Prediction of mood instability with passive sensing. In Proc. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3. (Association of Computing Machinery, New York, NY, USA2019).
Diener, E., Suh, E. M., Lucas, R. E. & Smith, H. L. Subjective well-being: three decades of progress. Psychological Bull. 125, 276 (1999).
Google Scholar
Sarason, I. G., Johnson, J. H. & Siegel, J. M. Assessing the impact of life changes: development of the life experiences survey. J. Consulting Clin. Psychol. 46, 932 (1978).
Google Scholar
Kanner, A. D., Coyne, J. C., Schaefer, C. & Lazarus, R. S. Comparison of two modes of stress measurement: Daily hassles and uplifts versus major life events. J. Behav. Med. 4, 1–39 (1981).
Google Scholar
Cohen, S. & Wills, T. A. Stress, social support, and the buffering hypothesis. Psychol. Bull. 98, 310 (1985).
Google Scholar
Mark, G. & Smith, A. P. Effects of occupational stress, job characteristics, coping, and attributional style on the mental health and job satisfaction of university employees. Anxiety, Stress Coping 25, 63–78 (2012).
Google Scholar
Sarason, I. G. Stress, anxiety, and cognitive interference: reactions to tests. J. Personal. Soc. Psychol. 46, 929 (1984).
Google Scholar
Li, Y.-L. et al. Stressful life events and poor sleep quality: a cross-sectional survey in the Chinese governmental employees. Sleep. Med. 85, 123–130 (2021).
Google Scholar
Larsen, R. J. & Prizmic, Z. in Handbook of Self-regulation: Research, Theory, and Applications (eds Baumeister, R. F. & Vohs, K. D.) 40–61 (The Guilford Press, 2004).
Fairholme, C. P. & Manber, R. in Sleep and Affect (eds Babson, K. A. & Feldner, M. T.) 45–61 (Academic Press, 2015).
Walker, M. Why We Sleep: Unlocking the Power of Sleep and Dreams (Simon and Schuster, 2017).
Wilson, T. D. & Gilbert, D. T. Affective forecasting: knowing what to want. Curr. Directions Psychol. Sci. 14, 131–134 (2005).
Google Scholar
Fredrickson, B. L. The role of positive emotions in positive psychology: the broaden-and-build theory of positive emotions. Am. Psychologist 56, 218 (2001).
Google Scholar
Lazarus, R. S. Psychological stress in the workplace. Occup. Stress.: A Handb. 1, 3–14 (1995).
Thoits, P. A. Mechanisms linking social ties and support to physical and mental health. J. Health Soc. Behav. 52, 145–161 (2011).
Google Scholar
Suhr, J. A., Cutrona, C. E., Krebs, K. K. & Jensen, S. L. in Couple Observational Coding Systems (eds Keri, P. K. & Baucom, D. H.) 307–318 (Routledge, 2004).
Brosschot, J. F., Gerin, W. & Thayer, J. F. The perseverative cognition hypothesis: a review of worry, prolonged stress-related physiological activation, and health. J. Psychosom. Res. 60, 113–124 (2006).
Google Scholar
Ernala, S. K., Rizvi, A. F., Birnbaum, M. L., Kane, J. M. & De Choudhury, M. Linguistic markers indicating therapeutic outcomes of social media disclosures of schizophrenia. Proc. ACM Hum.-Computer Interact. 1, 1–27 (2017).
Google Scholar
Pennebaker, J. W. & Chung, C. K. in Handbook of Health Psychology (eds Friedman and Silver, R. C.) (2007).
De Choudhury, M. & De, S. Mental health discourse on Reddit: Self-disclosure, social support, and anonymity. In Proceedings of the International AAAI Conference on Web and Social Media Vol. 8, 71–80 (2014).
Saha, K. & Sharma, A. Causal factors of effective psychosocial outcomes in online mental health communities. In Proc. International AAAI Conference on Web and Social Media Vol. 14, 590–601 (2020). https://doi.org/10.1609/icwsm.v14i1.7326.
Cain, N. & Gradisar, M. Electronic media use and sleep in school-aged children and adolescents: a review. Sleep. Med. 11, 735–742 (2010).
Google Scholar
Sharma, A., Rushton, K., Lin, I. W., Nguyen, T. & Althoff, T. Facilitating self-guided mental health interventions through human-language model interaction: a case study of cognitive restructuring. In Proc. 2024 CHI Conference on Human Factors in Computing Systems. Article 700,1–29 (Association for Computing Machinery, New York, NY, USA, 2024). https://doi.org/10.1145/3613904.3642761.
Wang, L. & Miller, L. C. Just-in-the-moment adaptive interventions (JITAI): A meta-analytical review. Health Commun. 35, 1531–1544 (2020).
Google Scholar
Saeb, S. et al. Mobile phone sensor correlates of depressive symptom severity in daily-life behavior: an exploratory study. J. Med. Internet Res. 17 (2015).
Suh, J. et al. Toward tailoring just-in-time adaptive intervention systems for workplace stress reduction: exploratory analysis of intervention implementation. JMIR Ment. Health 11, e48974 (2024).
Google Scholar
Saha, K. et al. Social media as a passive sensor in longitudinal studies of human behavior and wellbeing. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Paper CS12, 1–8 (Association for Computing Machinery, New York, NY, USA, 2019). https://doi.org/10.1145/3290607.3299065.
Saha, K. et al. Person-centered predictions of psychological constructs with social media contextualized by multimodal sensing. Proceedings of the ACM Interactive, Mobile, Wearable and Ubiquitous Technologies. Vol. 5, 1–32 (2021).
Shipley, W. C.Shipley-2: Manual (WPS, 2009).
Soto, C. J. & John, O. P. The next big five inventory (bfi-2): Developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and predictive power. J. Personal. Soc. Psychol. 113, 117 (2017).
Google Scholar
Watson, D. & Clark, L. A. The panas-x: manual for the positive and negative affect schedule-expanded form, University of Iowa, Unpublished manuscript (1999).
Spielberger, C. D., Gonzalez-Reigosa, F., Martinez-Urrutia, A., Natalicio, L. F. & Natalicio, D. S. The state-trait anxiety inventory. Interamerican J. Psychol. 5, 145–158 (2017).
Doi, Y. et al. Psychometric assessment of subjective sleep quality using the Japanese version of the Pittsburgh Sleep Quality Index (PSQI-J) in psychiatric disordered and control subjects. Psychiatry Res. 97, 165–172 (2000).
Google Scholar
Buysse, D. J., Reynolds III, C. F., Monk, T. H., Berman, S. R. & Kupfer, D. J. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 28, 193–213 (1989).
Google Scholar
Mackinnon, A. et al. A short form of the positive and negative affect schedule: Evaluation of factorial validity and invariance across demographic variables in a community sample. Personal. Individ. Differences 27, 405–416 (1999).
Google Scholar
Das Swain, V. et al. Semantic gap in predicting mental wellbeing through passive sensing. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems 1–16 (2022).
Davey, H. M., Barratt, A. L., Butow, P. N. & Deeks, J. J. A one-item question with a likert or visual analog scale adequately measured current anxiety. J. Clin. Epidemiol. 60, 356–360 (2007).
Google Scholar
Spielberger, C. D. State-trait Anxiety Inventory for Adults. Mind Garden (APA PscNet,1983).
Compas, B. E., Davis, G. E. & Forsythe, C. J. Characteristics of life events during adolescence. Am. J. Community Psychol. 13, 677–691 (1985).
Google Scholar
Hutto, C. & Gilbert, E. Vader: A parsimonious rule-based model for sentiment analysis of social media text. In Proc. International AAAI Conference on Web and Social Media, vol. 8, 216–225 (2014). https://doi.org/10.1609/icwsm.v8i1.14550.
Bevan, J. L., Gomez, R. & Sparks, L. Disclosures about important life events on facebook: Relationships with stress and quality of life. Comput. Hum. Behav. 39, 246–253 (2014).
Google Scholar
Nairne, J. S., Thompson, S. R. & Pandeirada, J. N. Adaptive memory: Survival processing enhances retention. J. Exp. Psychol.: Learn. Mem. Cognition 33, 263 (2007).
Dattalo, P. Determining Sample Size: Balancing Power, Precision, and Practicality (Oxford University Press, 2008).
Das Swain, V. et al. A multisensor person-centered approach to understand the role of daily activities in job performance with organizational personas. Proc. IMWUT (2019).
Kreinovich, V., Nguyen, H. T. & Ouncharoen, R. How to estimate forecasting quality: a system-motivated derivation of symmetric mean absolute percentage error (smape) and other similar characteristics. Departmental Technical Reports, UTEP (2014).
Judd, C. M., McClelland, G. H. & Ryan, C. S. Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond (Routledge, 2017).
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