Autonomic complexity dynamically indexes affect regulation in everyday life. Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1037/abn0000849
Affect regulation often is disrupted in depression. Understanding biomarkers of affect regulation in ecologically valid contexts is critical for identifying moments when interventions can be delivered to improve regulation and may have utility for identifying which individuals are vulnerable to psychopathology. Autonomic complexity, which includes linear and nonlinear indices of heart rate variability, has been proposed as a novel marker of neurovisceral integration. However, it is not clear how autonomic complexity tracks with regulation in everyday life, and whether low complexity serves as a marker of related psychopathology. To measure regulation phenotypes with diminished influence of current symptoms, 37 young adults with remitted major depressive disorder (rMDD) and 28 healthy comparisons (HCs) completed ambulatory assessments of autonomic complexity and affect regulation across one week in everyday life. Multilevel models indicated that in HCs, but not rMDD, autonomic complexity fluctuated in response to regulation cues, increasing in response to reappraisal and distraction and decreasing in response to negative affect. Higher complexity across the week predicted greater everyday regulation success, whereas greater variability of complexity predicted lower (and less variable) negative affect, rumination, and mind-wandering. Results suggest that ambulatory assessment of autonomic complexity can passively index dynamic aspects of real-world affect and regulation, and that dynamic physiological reactivity to regulation is restricted in rMDD. These results demonstrate how intensive sampling of dynamic, nonlinear regulatory processes can advance our understanding of potential mechanisms underlying psychopathology. Such measurements might inform how to test interventions to enhance neurovisceral complexity and affect regulation success in real time. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1037/abn0000849
- OA Status
- hybrid
- Cited By
- 10
- References
- 115
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4383302125Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1037/abn0000849Digital Object Identifier
- Title
-
Autonomic complexity dynamically indexes affect regulation in everyday life.Work title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-07-06Full publication date if available
- Authors
-
Jonathan P. Stange, Jiani Li, Ellie Xu, Zihua Ye, Sarah L Zapetis, Coralie S. Phanord, Jenny Wu, Pia Sellery, Kaley Keefe, Erika E. Forbes, Robin J. Mermelstein, Timothy J. Trull, Scott A. LangeneckerList of authors in order
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https://doi.org/10.1037/abn0000849Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1037/abn0000849Direct OA link when available
- Concepts
-
Affect (linguistics), Rumination, Psychopathology, Psychological intervention, PsycINFO, Psychology, Experience sampling method, Heart rate variability, Cognitive psychology, Clinical psychology, Medicine, Cognition, Neuroscience, Heart rate, MEDLINE, Psychiatry, Social psychology, Biology, Blood pressure, Communication, Radiology, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 4, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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115Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.young | 99 |
| abstract_inverted_index.(rMDD) | 106 |
| abstract_inverted_index.Affect | 0 |
| abstract_inverted_index.Higher | 158 |
| abstract_inverted_index.Record | 253 |
| abstract_inverted_index.across | 121, 160 |
| abstract_inverted_index.adults | 100 |
| abstract_inverted_index.affect | 10, 119, 198, 245 |
| abstract_inverted_index.inform | 235 |
| abstract_inverted_index.linear | 45 |
| abstract_inverted_index.marker | 59, 84 |
| abstract_inverted_index.models | 128 |
| abstract_inverted_index.rights | 258 |
| abstract_inverted_index.serves | 81 |
| abstract_inverted_index.tracks | 71 |
| abstract_inverted_index.Results | 183 |
| abstract_inverted_index.advance | 224 |
| abstract_inverted_index.affect, | 179 |
| abstract_inverted_index.affect. | 157 |
| abstract_inverted_index.aspects | 195 |
| abstract_inverted_index.current | 96 |
| abstract_inverted_index.dynamic | 194, 203 |
| abstract_inverted_index.enhance | 241 |
| abstract_inverted_index.greater | 164, 169 |
| abstract_inverted_index.healthy | 109 |
| abstract_inverted_index.improve | 27 |
| abstract_inverted_index.indices | 48 |
| abstract_inverted_index.measure | 89 |
| abstract_inverted_index.moments | 20 |
| abstract_inverted_index.related | 86 |
| abstract_inverted_index.results | 213 |
| abstract_inverted_index.success | 247 |
| abstract_inverted_index.suggest | 184 |
| abstract_inverted_index.utility | 32 |
| abstract_inverted_index.whereas | 168 |
| abstract_inverted_index.whether | 78 |
| abstract_inverted_index.Database | 252 |
| abstract_inverted_index.However, | 63 |
| abstract_inverted_index.contexts | 15 |
| abstract_inverted_index.critical | 17 |
| abstract_inverted_index.disorder | 105 |
| abstract_inverted_index.dynamic, | 219 |
| abstract_inverted_index.everyday | 75, 125, 165 |
| abstract_inverted_index.includes | 44 |
| abstract_inverted_index.negative | 156, 178 |
| abstract_inverted_index.proposed | 55 |
| abstract_inverted_index.remitted | 102 |
| abstract_inverted_index.response | 140, 146, 154 |
| abstract_inverted_index.sampling | 217 |
| abstract_inverted_index.success, | 167 |
| abstract_inverted_index.(PsycInfo | 251 |
| abstract_inverted_index.Autonomic | 41 |
| abstract_inverted_index.autonomic | 69, 116, 136, 189 |
| abstract_inverted_index.completed | 112 |
| abstract_inverted_index.delivered | 25 |
| abstract_inverted_index.disrupted | 4 |
| abstract_inverted_index.indicated | 129 |
| abstract_inverted_index.influence | 94 |
| abstract_inverted_index.intensive | 216 |
| abstract_inverted_index.nonlinear | 47, 220 |
| abstract_inverted_index.passively | 192 |
| abstract_inverted_index.potential | 228 |
| abstract_inverted_index.predicted | 163, 173 |
| abstract_inverted_index.processes | 222 |
| abstract_inverted_index.symptoms, | 97 |
| abstract_inverted_index.variable) | 177 |
| abstract_inverted_index.Multilevel | 127 |
| abstract_inverted_index.ambulatory | 113, 186 |
| abstract_inverted_index.assessment | 187 |
| abstract_inverted_index.biomarkers | 8 |
| abstract_inverted_index.complexity | 70, 80, 117, 137, 159, 172, 190, 243 |
| abstract_inverted_index.decreasing | 152 |
| abstract_inverted_index.depressive | 104 |
| abstract_inverted_index.diminished | 93 |
| abstract_inverted_index.fluctuated | 138 |
| abstract_inverted_index.increasing | 144 |
| abstract_inverted_index.mechanisms | 229 |
| abstract_inverted_index.phenotypes | 91 |
| abstract_inverted_index.reactivity | 205 |
| abstract_inverted_index.real-world | 197 |
| abstract_inverted_index.regulation | 1, 11, 28, 73, 90, 120, 142, 166, 207, 246 |
| abstract_inverted_index.regulatory | 221 |
| abstract_inverted_index.reserved). | 259 |
| abstract_inverted_index.restricted | 209 |
| abstract_inverted_index.underlying | 230 |
| abstract_inverted_index.vulnerable | 38 |
| abstract_inverted_index.assessments | 114 |
| abstract_inverted_index.comparisons | 110 |
| abstract_inverted_index.complexity, | 42 |
| abstract_inverted_index.demonstrate | 214 |
| abstract_inverted_index.depression. | 6 |
| abstract_inverted_index.distraction | 150 |
| abstract_inverted_index.identifying | 19, 34 |
| abstract_inverted_index.individuals | 36 |
| abstract_inverted_index.reappraisal | 148 |
| abstract_inverted_index.regulation, | 200 |
| abstract_inverted_index.rumination, | 180 |
| abstract_inverted_index.variability | 170 |
| abstract_inverted_index.ecologically | 13 |
| abstract_inverted_index.integration. | 62 |
| abstract_inverted_index.measurements | 233 |
| abstract_inverted_index.variability, | 52 |
| abstract_inverted_index.Understanding | 7 |
| abstract_inverted_index.interventions | 22, 239 |
| abstract_inverted_index.neurovisceral | 61, 242 |
| abstract_inverted_index.physiological | 204 |
| abstract_inverted_index.understanding | 226 |
| abstract_inverted_index.mind-wandering. | 182 |
| abstract_inverted_index.psychopathology. | 40, 87, 231 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 13 |
| citation_normalized_percentile.value | 0.91247108 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |