The DOI matches its Crossref record; 60 of the 61 references it cites were found in a registry or an index.
The everyday emotional experience of adults with major depressive disorder: Examining emotional instability, inertia, and reactivity
Open accessAbstract
Investigators have begun to examine the temporal dynamics of affect in individuals diagnosed with major depressive disorder (MDD), focusing on instability, inertia, and reactivity of emotion. How these dynamics differ between individuals with MDD and healthy controls have not before been examined in a single study. In this study, 53 adults with MDD and 53 healthy adults carried hand-held electronic devices for approximately 7 days and were prompted randomly 8 times per day to report their levels of current negative affect (NA), positive affect (PA), and the occurrence of significant events. In terms of NA, compared with healthy controls, depressed participants reported greater instability and greater reactivity to positive events, but comparable levels of inertia and reactivity to negative events. Neither average levels of NA nor NA reactivity to, frequency or intensity of, events accounted for the group difference in instability of NA. In terms of PA, the MDD and control groups did not differ significantly in their instability, inertia, or reactivity to positive or negative events. These findings highlight the importance of emotional instability in MDD, particularly with respect to NA, and contribute to a more nuanced understanding of the everyday emotional experiences of depressed individuals.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Compared to healthy participants, clinically depressed patients showed higher NA instability”
From Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review (2019) · cites this paper as [50]
In the citing paper
“depressed patients showed a greater decrease in NA and increase in PA after a positive event”
From Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review (2019) · cites this paper as [50]
In the citing paper
“Both samples reported increased NA after a negative event”
From Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review (2019) · cites this paper as [50]
In the citing paper
“whereas no differences in PA instability were observed”
From Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review (2019) · cites this paper as [50]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Development and validation of brief measures of positive and negative affect: The PANAS scales.
Watson, D., Clark, L. A., & Tellegen, A. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.6.1063 · Cited by 32,433
Hierarchical Linear Models: Applications and Data Analysis Methods.
Longford, N. T., Bryk, A. S., & Raudenbush, S. W. (1993) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2075823 · Cited by 18,773
Beck, A. T., Steer, R. A., & Brown, G. (2011) · PsycTESTS Dataset · doi:10.1037/t00742-000 · Cited by 7,535
Nolen-Hoeksema, S., Wisco, B. E., & Lyubomirsky, S. (2008) · Perspectives on Psychological Science · doi:10.1111/j.1745-6924.2008.00088.x · Cited by 5,172
Sufficient Sample Sizes for Multilevel Modeling
Maas, C. J. M., & Hox, J. J. (2005) · Methodology · doi:10.1027/1614-2241.1.3.86 · Cited by 3,582
Cognition and Depression: Current Status and Future Directions
Gotlib, I. H., & Joormann, J. (2010) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.121208.131305 · Cited by 2,420
Handbook of research methods for studying daily life
Mehl, M. R., Conner, T. S., & Csíkszentmihályi, M. (2012) · Choice Reviews Online · doi:10.5860/choice.50-1159 · Cited by 2,121
Emotional experience in everyday life across the adult life span.
Carstensen, L. L., Pasupathi, M., Mayr, U., & Nesselroade, J. R. (2000) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.79.4.644 · Cited by 1,558
Encyclopedia of Statistics in Behavioral Science
(2005) · Wiley eBooks · doi:10.1002/0470013192 · Cited by 1,472
Multilevel Modeling of Individual and Group Level Mediated Effects
Krull, J. L., & MacKinnon, D. P. (2001) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr3602_06 · Cited by 1,325
Research works printed but not linked: 2
- Raudenbush SW Bryk AS 2002 Hierarchical linear models: Applications adn data anaysis methods 2 Thousand Oaks, CA Sage Publications
- Snijders TAB Bosker RJ 1999 Multilevel analysis: An introduction to basic and advance multilevel modeling Thousand Oaks, CA Sage Publications
Cited by
Sorted by citations
The relation between short-term emotion dynamics and psychological well-being: A meta-analysis.
Houben, M., Van Den Noortgate, W., & Kuppens, P. (2015) · Psychological Bulletin · doi:10.1037/a0038822 · Cited by 1,043
Complex affect dynamics add limited information to the prediction of psychological well-being.
Dejonckheere, E., Mestdagh, M., Houben, M., Rutten, I., Sels, L., Kuppens, P., & Tuerlinckx, F. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0555-0 · Cited by 431
Bailen, N. H., Green, L. M., & Thompson, R. J. (2019) · Emotion Review · doi:10.1177/1754073918768878 · Cited by 427
Self-citationWichers, M. (2013) · Psychological Medicine · doi:10.1017/s0033291713001979 · Cited by 359
Affect dynamics in relation to depressive symptoms: Variable, unstable or inert?
Koval, P., Pe, M. L., Meers, K., & Kuppens, P. (2013) · Emotion · doi:10.1037/a0033579 · Cited by 323
Metadata
- Authors
- Thompson, R. J., Mata, J., Jaeggi, S. M., Buschkuehl, M., Jonides, J., & Gotlib, I. H.
- Affiliations
- Stanford University (US)
- University of Basel (CH)
- University of Michigan (US)
- Corresponding author
- Thompson, Renee J.
- Venue
- Journal of Abnormal Psychology
- Published
- 2012-11
- Volume
- 121
- Issue
- 4
- Pages
- 819-829
- ISSN
- 0021-843X (ISSN-L)
- 1939-1846
- PMC
- PMC3624976
- OpenAlex
- W2164147370
- Cited by
- 292
- References
- 61
- Citations by year
- 2026: 13 · 2025: 23 · 2024: 24 · 2023: 26 · 2022: 11 · 2021: 38 · 2020: 40 · 2019: 18 · 2018: 22 · 2017: 26 · 2016: 12 · 2015: 19 · 2014: 8 · 2013: 7 · 2012: 3
- FWCI
- 15.86
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Journal of Abnormal Psychology (publishedVersion)
- PubMed (publishedVersion)
- MADOC (University of Mannheim) (acceptedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- National Institute of Mental Health (MH59259, MH60655, MH74849)
- Deutsche Forschungsgemeinschaft (Wi3496/41)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- major depressive disorder, neuroticism, emotional inertia, emotional reactivity, negative affect, positive affect
- MeSH terms
- Adult, Affect, Major Depressive Disorder, Emotions, Female, Humans, Male, Computers, Handheld
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review