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	<title>cognitive distortions &#8211; Science</title>
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	<title>cognitive distortions &#8211; Science</title>
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		<title>Absolutist words in everyday speech may signal depression, smartphone study finds</title>
		<link>https://scienmag.com/absolutist-words-in-everyday-speech-may-signal-depression-smartphone-study-finds/</link>
		
		<dc:creator><![CDATA[Glenn Wilkins]]></dc:creator>
		<pubDate>Sat, 17 Oct 2026 14:20:52 +0000</pubDate>
				<category><![CDATA[Psychology & Psychiatry]]></category>
		<category><![CDATA[Absolutist]]></category>
		<category><![CDATA[absolutist language markers in everyday speech]]></category>
		<category><![CDATA[absolutist words]]></category>
		<category><![CDATA[BMC Psychiatry]]></category>
		<category><![CDATA[cognitive distortions]]></category>
		<category><![CDATA[cognitive distortions and all-or-nothing thinking]]></category>
		<category><![CDATA[daily life speech analysis for psychological insights]]></category>
		<category><![CDATA[Depression]]></category>
		<category><![CDATA[depression detection using linguistics]]></category>
		<category><![CDATA[digital tools for depression screening]]></category>
		<category><![CDATA[ecological momentary assessment]]></category>
		<category><![CDATA[impact of language patterns on depression diagnosis]]></category>
		<category><![CDATA[linguistic analysis of spontaneous speech]]></category>
		<category><![CDATA[linguistic markers of cognitive biases]]></category>
		<category><![CDATA[Mental health]]></category>
		<category><![CDATA[mental health indicators in natural conversation]]></category>
		<category><![CDATA[natural language processing]]></category>
		<category><![CDATA[real-time depression assessment]]></category>
		<category><![CDATA[smartphone-based mental health monitoring]]></category>
		<category><![CDATA[spoken]]></category>
		<category><![CDATA[spoken language]]></category>
		<category><![CDATA[usage]]></category>
		<category><![CDATA[use of long-tail keywords in mental health research]]></category>
		<category><![CDATA[word]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=298629</guid>

					<description><![CDATA[A two-week smartphone study of 144 participants shows that absolutist words such as always and never are used more often in the speech of people with clinical depression, and that this linguistic habit predicts depressed mood 12 to 24 hours later even as it coincides with short-term relief.]]></description>
										<content:encoded><![CDATA[<p>Words like &#8220;always,&#8221; &#8220;never,&#8221; &#8220;must,&#8221; and &#8220;completely&#8221; do more than add emphasis to everyday conversation. According to a new study published in BMC Psychiatry, how often people use these absolutist terms in spontaneous spoken language appears to be a measurable linguistic marker of depression, one that can be captured repeatedly in daily life through a smartphone rather than inferred from carefully composed written texts.</p>
<p>Cognitive distortions, the biased thinking patterns that color how people interpret events, are considered central to the onset and maintenance of depression. Absolutist words are one of the clearest linguistic manifestations of such distortions, because they reflect all-or-nothing thinking: the tendency to frame situations, feelings, and expectations in absolute, unqualified terms. Previous research has shown that people with depression use more absolutist words in written language, including social media posts and essays. But writing is deliberate and edited, and much of the existing evidence comes from texts produced long before or after the moments they are supposed to describe. The new study, led by Jonathan F. Bauer of Friedrich-Alexander-Universität Erlangen-Nürnberg together with colleagues at the Technical University of Munich and Imperial College London, asked whether the same signal shows up in unscripted speech, captured in real time as people go about their lives.</p>
<p>To find out, the researchers recruited 144 participants divided into three age- and gender-matched groups of 48: individuals with clinically diagnosed depression, individuals with subclinical depressive symptoms, and individuals with no history of depression. Diagnoses were established with the Structured Clinical Interview for DSM-5 Disorders, Clinician Version, ensuring that group membership rested on standardized clinical assessment rather than self-report alone. For two weeks, participants carried a smartphone-based ecological momentary assessment system that prompted them three times a day. At each prompt, they rated their current depressed mood and provided speech samples consisting of mood descriptions and mood-regulating statements, spoken aloud in their own words.</p>
<p>Ecological momentary assessment, or EMA, is a methodological approach designed to capture experience in the flow of daily life, minimizing the recall biases that plague retrospective questionnaires. By sampling mood and language repeatedly within each person, EMA also allows researchers to separate two levels of analysis: whether absolutist word usage differs between people with and without depression, and whether it fluctuates with momentary mood within the same person. The team analyzed the spoken samples with natural language processing techniques, including transformer-based language models of the kind used in modern computational linguistics, to quantify absolutist word usage in each recording. At the end of the two-week period, depressive symptom severity was assessed with the Hamilton Rating Scale for Depression, a clinician-administered instrument widely regarded as a gold standard for measuring symptom severity.</p>
<p>The results were revealing on several fronts. First, across the entire EMA phase, individuals with clinical depression used absolutist words more frequently in their spoken samples than individuals with no history of depression, with the subclinical group falling in between. This confirms that the absolutist signal, previously documented in writing, extends to spontaneous speech and tracks the clinical spectrum of the disorder rather than separating depressed from non-depressed people in a simple binary fashion.</p>
<p>Second, and more unexpectedly, the momentary analysis produced a counterintuitive pattern. Within individuals who had elevated depressive symptoms, greater absolutist word usage was associated with lower depressed mood at the same assessment moment. In other words, in the short term, speaking in absolute terms seemed to coincide with feeling somewhat better, not worse. The researchers probed this temporal relationship further and found that greater absolutist word usage was associated with higher levels of depressed mood 12 to 24 hours later. The short-term relief and the delayed cost coexist, and together they may help explain why absolutist thinking persists despite its maladaptive consequences.</p>
<p>This dissociation between immediate and delayed effects carries important theoretical weight. One plausible interpretation is that absolutist statements can serve an emotion-regulating function in the moment, perhaps by providing a sense of clarity, conviction, or release when mood is low. Yet the underlying cognitive distortion they express may reinforce the biased information processing that sustains depression over time, so that the same linguistic habit that feels helpful today contributes to deeper low mood tomorrow. The study also found that absolutist word usage was positively associated with depressive symptom severity as measured by the Hamilton scale after the two-week period, linking the everyday speech pattern to a clinician-rated retrospective measure of the disorder.</p>
<p>The authors see several practical implications in these findings. Absolutist word usage in spoken language appears to be an indicator of depression that could be relevant for optimizing assessment and monitoring approaches. Because speech can be sampled passively and repeatedly through devices people already carry, linguistic markers of this kind could complement existing questionnaires and clinical interviews, potentially supporting earlier detection and finer-grained tracking of symptom change. The registered study, recorded in the German Clinical Trials Register under DRKS00023670, was funded by grants from the German Research Foundation and conducted in accordance with the Declaration of Helsinki, with ethics approval from Friedrich-Alexander-Universität Erlangen-Nürnberg.</p>
<p>The findings may also point toward treatment targets. Cognitive behavioral therapy already addresses absolutist thinking as one of the cognitive distortions it aims to restructure, and the new evidence that this thinking style is expressed in daily speech, that it provides short-term mood benefits, and that it precedes longer-term mood deterioration gives clinicians a more mechanistic picture of why the habit endures. Interventions that help people notice and reformulate absolutist language in the moment might be able to interrupt the delayed mood cost while preserving the immediate regulatory function that makes the habit so sticky.</p>
<p>As with any single study, caution is warranted before these results are translated into diagnostic tools. The EMA prompts captured speech samples that included mood descriptions and mood-regulating statements, and the relationship between absolutist word usage and mood may differ for other kinds of spontaneous talk. The study was conducted in German-speaking participants, and word lists and linguistic markers do not always transfer cleanly across languages. Still, the work represents a methodological step forward: by moving from edited written texts to unscripted speech, and from retrospective recall to momentary sampling, it demonstrates that a well-known cognitive distortion leaves a quantifiable trace in the words people speak in ordinary life, and that this trace is connected to depression at the level of diagnosis, momentary mood, and clinician-rated symptom severity alike.</p>
<p><strong>Subject of Research:</strong> linguistic markers of depression in spoken language</p>
<p><strong>Article Title:</strong> Absolutist word usage in spoken language as a marker of depression: an ecological momentary assessment study</p>
<p><strong>Article References:</strong> Bauer, J. F., Gerczuk, M., Schindler-Gmelch, L., Schuller, B., &amp; Berking, M. (2026). Absolutist word usage in spoken language as a marker of depression: an ecological momentary assessment study. <em>BMC Psychiatry, 26</em>(1), Article 680. <a href="https://doi.org/10.1186/s12888-026-08575-z" rel="noopener noreferrer">https://doi.org/10.1186/s12888-026-08575-z</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1186/s12888-026-08575-z" rel="noopener noreferrer">10.1186/s12888-026-08575-z</a></p>
<p><strong>Keywords:</strong> depression, absolutist words, spoken language, ecological momentary assessment, cognitive distortions, BMC Psychiatry, natural language processing, mental health, Absolutist, word, usage, spoken</p>
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