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	<title>longitudinal mental health studies &#8211; Science</title>
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		<title>Mothers and Children See Mental Health Differently, But Agreement Grows With Age</title>
		<link>https://scienmag.com/mothers-and-children-see-mental-health-differently-but-agreement-grows-with-age/</link>
		
		<dc:creator><![CDATA[Glenn Wilkins]]></dc:creator>
		<pubDate>Sun, 20 Sep 2026 20:13:26 +0000</pubDate>
				<category><![CDATA[Psychology & Psychiatry]]></category>
		<category><![CDATA[adolescence]]></category>
		<category><![CDATA[adolescent mental health assessment]]></category>
		<category><![CDATA[Child Behavior Checklist]]></category>
		<category><![CDATA[cross-informant agreement]]></category>
		<category><![CDATA[development of mental health awareness]]></category>
		<category><![CDATA[emerging adulthood]]></category>
		<category><![CDATA[externalizing problems]]></category>
		<category><![CDATA[impact of age on mental health reporting]]></category>
		<category><![CDATA[influence of social disadvantage on mental health perception]]></category>
		<category><![CDATA[informant agreement in psychological research]]></category>
		<category><![CDATA[informant discrepancies]]></category>
		<category><![CDATA[internalizing problems]]></category>
		<category><![CDATA[longitudinal child development research]]></category>
		<category><![CDATA[longitudinal mental health studies]]></category>
		<category><![CDATA[longitudinal study]]></category>
		<category><![CDATA[mental health assessment]]></category>
		<category><![CDATA[mental health assessment in adolescence and adulthood]]></category>
		<category><![CDATA[mental health evaluation methods]]></category>
		<category><![CDATA[mother-child agreement on mental health symptoms]]></category>
		<category><![CDATA[mother-child relationship]]></category>
		<category><![CDATA[parent-child perception discrepancies]]></category>
		<category><![CDATA[parental perception of child psychopathology]]></category>
		<category><![CDATA[psychological distress]]></category>
		<category><![CDATA[psychopathology]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=202020</guid>

					<description><![CDATA[A longitudinal study of 224 mother-child pairs finds that agreement between self-reported and mother-reported mental health problems increases from adolescence to emerging adulthood, while discrepancies remain clinically informative.]]></description>
										<content:encoded><![CDATA[<p>When a teenager struggles with anxiety or depression, does the mother see what the child feels? A new prospective longitudinal study suggests that the answer changes with age. Researchers followed 224 mother-child dyads from adolescence, when the children averaged 14.2 years old, into emerging adulthood, when they averaged 22.3 years, and found that agreement between self-reports and maternal reports of psychopathology grows substantially over eight years of development. The work, published in Child Psychiatry &amp; Human Development, offers some of the first longitudinal evidence on how informant agreement on a broad spectrum of mental health symptoms evolves from adolescence into adulthood, and it carries practical consequences for how clinicians and researchers should gather and interpret mental health information.</p>
<p>The study was conducted by Aline Debener and Ann-Katrin Job using data from the German Future Family project, a prospective longitudinal study that began in 2001 with 280 families recruited from randomly selected kindergartens in Braunschweig and later expanded with 197 additional families from socially disadvantaged urban areas. The project originally tested the effectiveness of the Triple P preventive parenting program and has tracked child and family development for more than 18 years. The analyses reported in the new paper drew on the 10-year follow-up in adolescence and the 18-year follow-up in emerging adulthood, both funded by the German Research Foundation. After excluding father-child dyads and families with missing participation, the final sample comprised 224 mother-child pairs, 52 percent of them daughters, with 98 percent of the reporters being biological mothers.</p>
<p>To measure psychopathology, the researchers used parallel questionnaires that capture the same symptoms from two vantage points. In adolescence, children completed the Youth Self Report while mothers completed the Child Behavior Checklist; in emerging adulthood, the pair became the Adult Self Report and the Adult Behavior Checklist. Each version yields scores for internalizing problems, such as anxiety and depression, and externalizing problems, such as aggression and rule-breaking, covering the previous six months. Internal consistency of the scales was high at both waves. The team also measured current psychological distress in children with the Strengths and Difficulties Questionnaire and in mothers with the Depression Anxiety Stress Scales, assessed the mother-child relationship through the Family Climate Scales, and derived family socioeconomic status from education, occupation, and income.</p>
<p>Agreement was operationalized as the correlation between the raw scores of the paired questionnaires. In adolescence, the correlations were moderate: r = .35 for internalizing problems and r = .40 for externalizing problems. By emerging adulthood, agreement had risen to r = .53 for internalizing and r = .50 for externalizing problems. A Steiger test confirmed that the increase for internalizing problems was statistically significant, while the change for externalizing problems was not, possibly due to limited statistical power or the greater observability of externalizing behavior, which may leave less room for consistency to vary. Notably, there were no significant differences at either time point between the levels of agreement for internalizing and externalizing problems, addressing a long-standing question about whether hidden emotional problems are harder to agree on than visible behavioral ones.</p>
<p>The categorical analysis of discrepancies told a complementary story. Using standardized difference scores, the researchers classified each dyad as showing agreement, a positive discrepancy in which the child reported more problems than the mother, or a negative discrepancy in which the mother reported more. Roughly two-thirds to three-quarters of dyads showed no relevant discrepancy at each wave, and discrepancies became less common over time. More than half of the dyads showed no discrepancy at either wave for either problem domain, and a shift from discrepancy to agreement occurred far more often than the reverse. Only a small minority of families maintained a stable positive or negative discrepancy across the eight-year span, and almost none flipped from one direction to the other.</p>
<p>The predictors of discrepancy differed sharply depending on its direction, a finding the authors emphasize as clinically important. When adolescents reported more problems than their mothers, the strongest predictor was the child&#8217;s current psychological distress: more distressed adolescents produced larger positive discrepancies, accounting for over half of the explainable variance for internalizing problems and about 70 percent for externalizing problems. Maternal distress played a smaller role. When mothers reported more problems than their children, the child&#8217;s male sex was the only significant predictor in adolescence, suggesting that mothers of sons may perceive more symptoms than their sons are willing to report, possibly because male adolescents downplay their difficulties while young women tend to show more openness about mental health.</p>
<p>Predicting discrepancies in emerging adulthood from adolescent variables proved possible only for negative discrepancies, where mothers reported higher symptom levels than their children. The adolescent discrepancy itself was the dominant predictor, explaining roughly 60 percent of the explainable variance, which points to a stable tendency among some mothers to overestimate their children&#8217;s problems. For externalizing problems, higher child distress in adolescence also predicted a larger negative discrepancy in adulthood, consistent with the idea that worried mothers may selectively attend to signs of trouble. For positive discrepancies in externalizing problems, the family climate mattered: less mutual affection combined with more shared leisure activities predicted larger discrepancies, with affection carrying the greatest relative weight. The authors suggest that mothers who perceive problems in their children may intervene more, generating conflict, or that children who share less affectionate relationships disclose fewer symptoms.</p>
<p>The study has limitations that temper interpretation. Fathers were excluded because too few participated, the sample contained few low socioeconomic status families, dropout analyses showed that families lost to follow-up had more mental health problems and greater vulnerability, and the second wave of data collection occurred largely during the COVID-19 pandemic, which elevated mental health problems in young adults. The adult questionnaires also lack German standardization, so raw and standardized scores were used without clinical cutoffs, and the item composition of the adolescent and adult questionnaires differs slightly. A post-hoc power analysis revealed statistical power ranging from insufficient to very high across models, which the authors link to the split samples required for analyzing positive and negative discrepancies separately.</p>
<p>Despite these caveats, the implications are substantial. The findings confirm that self-reports and maternal reports are not interchangeable at any age, yet each contributes unique information, and their convergence strengthens as children mature, possibly because young adults become better at articulating internal states and because their views gradually align with their mothers&#8217; long-standing assessments. The authors recommend that clinicians routinely seek collateral reports beyond childhood and adolescence to sharpen diagnosis and individualize treatment, and that researchers weigh the direction of any discrepancy, the child&#8217;s current distress, the quality of the mother-child relationship, and the child&#8217;s sex when interpreting multi-informant data. They also call for studies including fathers, partners, and other informants, symptom-specific analyses, cross-cultural comparisons, and work extending beyond emerging adulthood, where the trajectory of informant agreement remains largely unexplored.</p>
<p>For a field that has long treated discrepant reports as statistical noise to be averaged away, this study adds to a growing consensus that disagreements between informants are signals worth reading. A mother who sees more distress in her son than he admits, or a distressed daughter who reports symptoms her mother misses, is not simply producing error; she is offering a perspective shaped by attachment, observation, and the developmental moment. As longitudinal cohorts age and multi-informant assessment becomes standard in both research and care, knowing when and why mothers and children converge, and when their divergent views carry clinical meaning, may prove as important as any single report itself.</p>
<p><strong>Subject of Research:</strong> Longitudinal agreement and discrepancies between self-reported and mother-reported psychopathology from adolescence to emerging adulthood</p>
<p><strong>Article Title:</strong> Agreement and Discrepancies of Self- and Mother Reported Psychopathology from Adolescence Until Emerging Adulthood: Results of a Prospective Longitudinal Study</p>
<p><strong>Article References:</strong> Debener, A., &amp; Job, A.-K. (2026). Agreement and Discrepancies of Self- and Mother Reported Psychopathology from Adolescence Until Emerging Adulthood: Results of a Prospective Longitudinal Study. <em>Child Psychiatry &amp;amp; Human Development</em>. <a href="https://doi.org/10.1007/s10578-026-02095-3" rel="noopener noreferrer">https://doi.org/10.1007/s10578-026-02095-3</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s10578-026-02095-3" rel="noopener noreferrer">10.1007/s10578-026-02095-3</a></p>
<p><strong>Keywords:</strong> informant discrepancies, cross-informant agreement, psychopathology, adolescence, emerging adulthood, longitudinal study, mother-child relationship, internalizing problems, externalizing problems, psychological distress, Child Behavior Checklist, mental health assessment</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">202020</post-id>	</item>
		<item>
		<title>Depressive symptoms forecast contrasting well-being trajectories among U.S. adults</title>
		<link>https://scienmag.com/depressive-symptoms-forecast-contrasting-well-being-trajectories-among-u-s-adults/</link>
		
		<dc:creator><![CDATA[Glenn Wilkins]]></dc:creator>
		<pubDate>Wed, 12 Aug 2026 20:17:50 +0000</pubDate>
				<category><![CDATA[Social Science]]></category>
		<category><![CDATA[American adults mental health patterns]]></category>
		<category><![CDATA[depressive symptoms and life outcomes]]></category>
		<category><![CDATA[depressive symptoms and mental health]]></category>
		<category><![CDATA[effects of early depression on long-term well-being]]></category>
		<category><![CDATA[impact of depression on well-being]]></category>
		<category><![CDATA[long-term psychological well-being trajectories]]></category>
		<category><![CDATA[longitudinal mental health studies]]></category>
		<category><![CDATA[mental health stability over decades]]></category>
		<category><![CDATA[positive functioning and mental health]]></category>
		<category><![CDATA[predictors of mental health trajectories]]></category>
		<category><![CDATA[psychological resilience and deterioration]]></category>
		<guid isPermaLink="false">https://scienmag.com/depressive-symptoms-forecast-contrasting-well-being-trajectories-among-u-s-adults/</guid>

					<description><![CDATA[A quarter-century of data from more than 3,600 American adults is challenging one of the most familiar assumptions in psychology: that people who appear to be doing well will continue to do so in a stable, predictable way. A new study published in Nature Mental Health finds that psychological well-being follows several distinct long-term paths [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>A quarter-century of data from more than 3,600 American adults is challenging one of the most familiar assumptions in psychology: that people who appear to be doing well will continue to do so in a stable, predictable way. A new study published in <em>Nature Mental Health</em> finds that psychological well-being follows several distinct long-term paths rather than a single universal pattern. Some adults remained broadly well across decades, while others experienced gradual deterioration, late improvement or dramatic gains that proved difficult to sustain. The research also shows that depressive symptoms at the beginning of the study were associated with sharply different long-term outcomes, suggesting that depression may influence not only how people feel in the present but also the direction their well-being takes over time.</p>
<p>The analysis used information from the Americans’ Changing Lives study, a large US cohort followed for approximately 25 years. The researchers examined data from 3,617 adults and focused on psychological well-being, a broad measure that captures positive functioning rather than simply the absence of mental illness. Well-being can include a sense of purpose, personal growth, autonomy, positive relationships and the ability to manage life’s demands. This distinction is important because someone may not meet criteria for depression while still experiencing low fulfillment, limited purpose or poor emotional vitality. Conversely, a person with depressive symptoms may later recover and develop stronger psychological resources.</p>
<p>To identify patterns hidden inside the average trends, the researchers applied growth mixture modeling, a statistical technique designed to detect groups of individuals who follow different developmental trajectories. Conventional longitudinal analyses often calculate an overall increase or decrease across a population, potentially masking major differences between people. Growth mixture modeling instead estimates several unobserved subgroups, each characterized by its own starting point and pattern of change. In practical terms, the method asks whether the population is best understood as one broad trend or as a collection of distinct pathways unfolding at different speeds and in different directions.</p>
<p>Four major trajectories emerged. The largest group, representing about 60 percent of the sample, showed persistent well-being across the observation period. This was the healthiest overall pattern, but it did not mean that every member of the group felt consistently positive at every measurement. The researchers detected substantial intra-individual variability, meaning that individuals within this apparently stable category could still fluctuate considerably over time. A subgroup maintained persistently low well-being despite belonging to the broader persistent pattern, highlighting a central finding of the study: stability in a statistical trajectory does not necessarily equal high psychological health.</p>
<p>The remaining trajectories revealed more dramatic change. One group experienced decelerated declines in well-being, with psychological functioning worsening over time but the rate of deterioration slowing. Another showed gradual increases, suggesting a steady accumulation of positive change across the years. The final group displayed marked but unsustained increases: well-being rose sharply, but the improvement did not remain at the same level. These patterns illustrate why a single snapshot of mental health can be misleading. Two adults with identical well-being scores at one point in life may be moving in opposite directions, with one beginning a prolonged decline and the other approaching a sustained recovery.</p>
<p>Depressive symptoms at baseline helped predict which path participants were more likely to follow. Adults who reported higher levels of depressive symptoms had greater odds of entering the decelerated-decline trajectory. This association is intuitive in one respect: early psychological distress may leave individuals vulnerable to future challenges, particularly when depressive symptoms interfere with motivation, relationships, physical health or access to supportive resources. Yet the results also contained a surprising counterpoint. Elevated baseline depressive symptoms were likewise associated with greater odds of belonging to the group that experienced marked improvements in well-being, even after accounting for people’s initial level of well-being.</p>
<p>That finding suggests that depression is not a simple forecast of unchanging decline. Individuals beginning with more depressive symptoms may have more room for improvement, but the statistical association remained after the researchers considered baseline well-being, indicating that depressive symptoms contributed information beyond a person’s starting position on the well-being scale. The result does not mean depression is beneficial or that severe symptoms reliably lead to recovery. Rather, it points to divergent pathways: similar initial distress can be followed by worsening, slowing deterioration or substantial improvement, depending on the broader psychological, social and health conditions that shape a person’s life.</p>
<p>The study’s emphasis on divergence has implications for both research and clinical practice. If well-being changes along multiple trajectories, then interventions should not be evaluated only by asking whether symptoms have fallen below a diagnostic threshold. A person may experience fewer depressive symptoms but still lack purpose, social connection or a sense of growth. Another person may show modest symptom change while steadily building well-being through relationships, meaningful activity, improved health or greater autonomy. Measuring positive functioning alongside distress could therefore help clinicians identify whether treatment is producing genuine psychological recovery or merely reducing one dimension of suffering.</p>
<p>The findings also reinforce the importance of repeated assessment. Long-term well-being cannot be fully understood through a single questionnaire or a single clinical visit. Tracking people across years can reveal whether an apparent improvement is durable, whether a decline is accelerating or slowing, and whether a person who appears stable is actually experiencing repeated fluctuations. The authors caution, in effect, that the trajectories are associations rather than proof that depressive symptoms directly cause later changes in well-being. Life circumstances, physical illness, socioeconomic conditions, treatment, personality and social support may all contribute to the pathways identified by the model. Even so, the study offers a powerful population-level message: psychological well-being is dynamic, depression can precede radically different futures, and protecting mental health requires more than eliminating symptoms—it requires helping people sustain the capacity to live well over time.</p>
<p><strong>Subject of Research</strong>: Long-term psychological well-being trajectories and the role of baseline depressive symptoms in US adults</p>
<p><strong>Article Title</strong>: Depressive symptoms predict divergent trajectories of well-being in US adults</p>
<p><strong>Article References</strong>: Lyman, C., Ong, A. &amp; Rottenberg, J. Depressive symptoms predict divergent trajectories of well-being in US adults. <em>Nature Mental Health</em> (2026). <a href="https://doi.org/10.1038/s44220-026-00705-6">https://doi.org/10.1038/s44220-026-00705-6</a></p>
<p><strong>Image Credits</strong>: AI Generated</p>
<p><strong>DOI</strong>: <a href="https://doi.org/10.1038/s44220-026-00705-6">https://doi.org/10.1038/s44220-026-00705-6</a></p>
<p><strong>Keywords</strong>: psychological well-being, depressive symptoms, mental health, longitudinal study, growth mixture modeling, Americans’ Changing Lives, adult development, mental health trajectories, depression and recovery</p>
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