Emerging evidence suggests that higher circulating levels of inflammatory biomarkers in blood are associated with higher negative affect (NA) and lower positive affect (PA). To our knowledge, the unique associations between NA and PA in daily life and salivary biomarkers of inflammation have not been examined. This study examined these associations in young adults.
Appnome analysis reveals small or no associations between social media app-specific usage and adolescent well-being
The debate on how social media use (SMU) influences adolescent well-being is mostly based on self-reports of SMU. By collecting data and screenshots donated from 374 Swiss adolescents (Meanage = 15.71; SDage = 0.82) over 2 weeks, we created “Appnomes”—app-specific usage metrics on screentime, number of activations, and number of notifications per participant per day derived, and associated them with daily hedonic and eudaimonic well-being. Longer TikTok time predicted lower eudaimonic well-being (β = − 0.08) daily but higher positive emotions (β = 0.06) the next day; longer use of WhatsApp predicted negative emotions (β = 0.06) while more screen activations for WhatsApp predicted greater feelings of connection (β = 0.08). Instagram notification was positively related to increased feeling of focused (β = 0.06) the next day. YouTube screen unlocks predicted more feeling of meaning (β = 0.07) the next day. More Snapchat screentime predicted less relaxed, less competent, and less positive emotions (with − 0.07 < β < − 0.06). Results pointed towards minimal or no effects, challenging the moral panic on the detrimental impact of SMU on teen well-being.
Generative AI Use and Depressive Symptoms Among US Adults
Importance Generative artificial intelligence (AI) has rapidly entered mainstream use in the US, but its association with mental health has not been characterized. Objective To examine the associations of the extent and type of generative AI use among US adults with negative affective symptoms in a large, nationally representative sample. Design, Setting, and Participants This survey study used data from a 50-state US internet nonprobability survey conducted between April and May 2025. Survey respondents were aged 18 years and older. Data were analyzed in August 2025. Exposure Participants self-reported generative AI and social media use. Main Outcomes and Measures The outcome of interest, negative affect, was measured using the Patient Health Questionnaire 9-item (PHQ-9). Results There were 20 847 unique participants, with mean (SD) age 47.3 (17.1) years and 10 327 (49.5%) female, 10 386 (49.8%) male, and 134 (0.6%) nonbinary participants; 2152 participants (10.3%) reported using AI at least daily, including 1053 participants (5.1%) who reported daily use and 1099 participants (5.3%) who reported use multiple times per day. Among participants who used daily or more frequently, 1033 (48.0%) reported use for work, 246 (11.4%) for school, and 1875 (87.1%) for personal applications. In survey-weighted regression models, daily or more frequent AI use was significantly more common among men, younger adults, those with higher education and income, and those in urban settings. Greater AI use was associated with greater levels of depressive symptoms in sociodemographic-adjusted regression models: (daily use: β = 1.08 [95% CI, 0.55-1.62]; multiple times per day: β = 0.86 [95% CI, 0.35-1.37]) compared with nonuse, and with greater likelihood of reporting at least moderate depressive symptoms (odds ratio [OR], 1.29 [95% CI, 1.15-1.46]); similar patterns were observed for anxiety and irritability. The highest estimates were observed among individuals using AI for personal use (β = 0.31 [95% CI, 0.10-0.52]) and those aged 25 to 44 years (β = 1.22 [95% CI, 0.70-1.74]) or 45 to 64 years (β = 1.38 [95% CI, 0.72-2.05]). Conclusions and Relevance This survey study found that AI use was significantly associated with greater depressive symptoms, with magnitude of differences varying by age group. Further work is needed to understand whether these associations are causal and explain heterogeneous effects.
Generative AI Use and Depressive Symptoms Among US Adults
This survey study examines the associations of generative artificial intelligence (AI) use with negative affective symptoms in a large nationally representative sample of US adults.
Associations Between Inflammatory Mediators and Bone Outcomes in Postmenopausal Women: A Cross-Sectional Analysis of Baseline Data from the Prune Study
These findings suggest that inflammatory markers may be an important mediator for postmenopausal bone loss.
Philosophy Officer on Instagram: "I AM SO EMOTIONALLY MATURE I have massive problems with this term. Most people would say it means something along the lines of: the ability to understand, process, regulate or communicate emotions in a healthy way. Now the issue is that all of the terms you use to explain it leave so much room for interpretation the definition becomes almost vacuous. To understand an emotion means to know what caused it? To know the impact it has on you physiologically? To understand how it affects your cognition? To know how it affects others? Same goes with the term healthy, get far enough into a discussion on what it means to be healthy and people will start to disagree. Mental health? Physical? Communal? Spiritual? What’s more is that this term is thrown around in place of simple personality traits or individual quirks. Because someone is more emotional are they now less mature because they have an objectively more difficult time regulating them? Is the person with a dark sense of humour immature because he can’t hold in a laugh when everyone else finds the situation morbid or cruel? I think, to a great extent, it’s a bit of a shield or barrier of a term that absolves ourselves from taking responsibility for our behaviours. At the end of the day we know ourselves best, or at least better than most people. This means we best understand our emotions, how we regulate them, how we control them etc. We have this epistemic bias towards ourselves, since we simply know more about ourselves therefore we will often reason that others have less. Sorry I couldn’t polish off my ideas more I gotta run bye friends"
102K likes, 186 comments - the_philofficer on July 6, 2026: "I AM SO EMOTIONALLY MATURE I have massive problems with this term. Most people would say it means something along the lines of: the ability to understand, process, regulate or communicate emotions in a healthy way. Now the issue is that all of the terms you use to explain it leave so much room for interpretation the definition becomes almost vacuous. To understand an emotion means to know what caused it? To know the impact it has on you physiologically? To understand how it affects your cognition? To know how it affects others? Same goes with the term healthy, get far enough into a discussion on what it means to be healthy and people will start to disagree. Mental health? Physical? Communal? Spiritual? What’s more is that this term is thrown around in place of simple personality traits or individual quirks. Because someone is more emotional are they now less mature because they have an objectively more difficult time regulating them? Is the person with a dark sense of humour immature because he can’t hold in a laugh when everyone else finds the situation morbid or cruel? I think, to a great extent, it’s a bit of a shield or barrier of a term that absolves ourselves from taking responsibility for our behaviours. At the end of the day we know ourselves best, or at least better than most people. This means we best understand our emotions, how we regulate them, how we control them etc. We have this epistemic bias towards ourselves, since we simply know more about ourselves therefore we will often reason that others have less. Sorry I couldn’t polish off my ideas more I gotta run bye friends".
High intelligence: A risk factor for psychological and physiological overexcitabilities
High intelligence is touted as being predictive of positive outcomes including educational success and income level. However, little is known about the difficulties experienced among this population. Specifically, those with a high intellectual capacity (hyper brain) possess overexcitabilities in various domains that may predispose them to certain psychological disorders as well as physiological conditions involving elevated sensory, and altered immune and inflammatory responses (hyper body). The present study surveyed members of American Mensa, Ltd. (n=3715) in order to explore psychoneuroimmunological (PNI) processes among those at or above the 98th percentile of intelligence. Participants were asked to self-report prevalence of both diagnosed and/or suspected mood and anxiety disorders, attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and physiological diseases that include environmental and food allergies, asthma, and autoimmune disease. High statistical significance and a remarkably high relative risk ratio of diagnoses for all examined conditions were confirmed among the Mensa group 2015 data when compared to the national average statistics. This implicates high IQ as being a potential risk factor for affective disorders, ADHD, ASD, and for increased incidence of disease related to immune dysregulation. Preliminary findings strongly support a hyper brain/hyper body association which may have substantial individual and societal implications and warrants further investigation to best identify and serve this at-risk population.
Blood tests for mental health problems | Eiko Fried
A new paper was published yesterday on a blood test for schizophrenia, by the same research team that in 2021 published a paper on a blood test for depression . The papers and...
Immunoporosis: Role of Innate Immune Cells in Osteoporosis
Osteoporosis or porous bone disorder is the result of an imbalance in an otherwise highly balanced physiological process known as ‘bone remodeling’. The immune system is intricately involved in bone physiology as well as pathologies. Inflammatory diseases are often correlated with osteoporosis. Inflammatory mediators such as reactive oxygen species (ROS), and pro-inflammatory cytokines and chemokines directly or indirectly act on the bone cells and play a role in the pathogenesis of osteoporosis. Recently, Srivastava et al. (Srivastava RK, Dar HY, Mishra PK. Immunoporosis: Immunology of Osteoporosis-Role of T Cells. Frontiers in immunology. 2018;9:657) have coined the term “immunoporosis” to emphasize the role of immune cells in the pathology of osteoporosis. Accumulated pieces of evidence suggest both innate and adaptive immune cells contribute to osteoporosis. However, innate cells are the major effectors of inflammation. They sense various triggers to inflammation such as pathogen-associated molecular patterns (PAMPS), damage-associated molecular patterns (DAMPS), cellular stress, etc., thus producing pro-inflammatory mediators that play a critical role in the pathogenesis of osteoporosis. In this review, we have discussed the role of the innate immune cells in great detail and divided these cells into different sections in a systemic manner. In the beginning, we talked about cells of the myeloid lineage, including macrophages, monocytes, and dendritic cells. This group of cells explicitly influences the skeletal system by the action of production of pro-inflammatory cytokines and can transdifferentiate into osteoclast. Other cells of the myeloid lineage, such as neutrophils, eosinophils, and mast cells, largely impact osteoporosis via the production of pro-inflammatory cytokines. Further, we talked about the cells of the lymphoid lineage, including natural killer cells and innate lymphoid cells, which share innate-like properties and play a role in osteoporosis. In addition to various innate immune cells, we also discussed the impact of classical pro-inflammatory cytokines on osteoporosis. We also highlighted the studies regarding the impact of physiological and metabolic changes in the body, which results in chronic inflammatory conditions such as ageing, ultimately triggering osteoporosis.
Learning From Older Adults: An Intergoal Compatibility Account for Successful Happiness Pursuit
Academic Abstract People want to pursue happiness but often fail, a phenomenon known as the paradox of pursuing happiness. The mechanisms underlying this paradox remain elusive. Age differences in happiness—specifically that older adults appear more successful in pursuing happiness (the emotion paradox of aging)—provide valuable insights into effective happiness pursuit. Drawing on this literature, we propose an intergoal compatibility account to interpret both paradoxes through the lens of intergoal interactions, an intuitively critical yet underexplored factor in existing interpretations. This account asserts that greater compatibility (fewer conflicts and greater facilitation) between happiness pursuit and other important personal goals enhances the effectiveness of happiness pursuit, and such compatibility can be enhanced through contextual influences (e.g., age-graded developmental tasks) and strategic self-regulation (e.g., goal adjustments). This account generates testable predictions and practical implications for enhancing happiness pursuit across the lifespan. Public Abstract Why do people often struggle to achieve happiness? And why are older adults happier than younger adults, even though they face more losses in life? While these questions have drawn extensive attention, they remain puzzling. A crucial yet insufficiently explored factor in successful happiness pursuit is intergoal compatibility —the extent to which the pursuit of happiness aligns or conflicts with other important personal goals. For younger adults, the demands of age-related developmental tasks (e.g., educational and career aspirations) often create conflicts with the pursuit of happiness, diminishing its effectiveness. Conversely, in older adults, happiness becomes more prioritized and compatible with other important personal goals, thereby enhancing the effectiveness of pursuing happiness. A lesson we can learn from older adults is to pursue happiness in ways compatible with other important personal goals.
Gut, inflammation and osteoporosis: basic and clinical concepts
Chronic inflammatory disorders such as inflammatory bowel diseases (IBD) affect bone metabolism and are frequently associated with the presence of osteoporosis. Bone loss is regulated by various mediators of the immune system such as the pro-inflammatory cytokines tumour necrosis factor-alpha (TNF-α), interleukin-1beta (IL-1β), IL-6, or interferon-gamma. TNF-α, a master cytokine in human IBD, causes bone erosions in experimental models and these effects are exerted by osteoclasts. Other TNF-related cytokines such as receptor activator of nuclear factor kappa B (RANK), its ligand, RANKL, and osteoprotegerin are important mediators in inflammatory processes in the gut and are critically involved in the pathophysiology of bone loss. The awareness and early diagnosis of osteoporosis in states of chronic inflammation, together with applied therapies such as bisphosphonates, may be beneficial in inflammation-associated osteoporosis. Although several mechanisms may contribute to osteoporosis in patients with IBD and coeliac disease, inflammation as an important factor has so far been neglected. As key inflammatory mediators in IBD such as TNF-α are involved in the disease process both in gut and bone, we hypothesise that neutralisation of TNF-α could prove an efficient strategy in the treatment of inflammation-related osteoporosis in the future.
Anthropomorphism in AI Companion Communities: Age, Gender, and Emotional Correlates
Artificial intelligence (AI) systems are increasingly integrated into daily life, with millions now using AI chatbots built on Large Language Models (LLMs) for companionship. Both humanlike AI qualities and user predispositions to anthropomorphize relate to social consequences, such as increased trust, social health benefits, and psychological harms. Populations such as children, older adults, or those with mental health vulnerabilities may be particularly susceptible to anthropomorphism and its detriments, but mixed findings complicate the role of demographics. We used publicly available Reddit data from three popular AI companion subreddits to assess relationships between gender, age, anthropomorphism, and elicited emotions, to better understand how different people perceive and are affected by AI companions. We investigated three questions: How do age and gender relate to anthropomorphization of AI?, How does emotional expression relate to anthropomorphization?, and How do age and gender moderate emotion-anthropomorphization relationships? We found that adults and women anthropomorphize AI chatbots more than teens and men, and that positive emotional expression, particularly joy, is positively associated with anthropomorphization, while neutrality is negatively associated with anthropomorphism. Both relationships were stronger in adults than teens. Our findings suggest that the tendency to anthropomorphize may be more broadly distributed across age groups than previously expected, thereby prompting the reevaluation of existing digital safety norms.
Associations of Sociodemographic and Neighborhood Vulnerability With Cardiovascular Health in Midlife Women in the United States
BACKGROUND: Many women have suboptimal cardiovascular health (CVH), which declines during midlife. Few studies have characterized CVH across the menopausal transition or identified its sociodemographic and neighborhood determinants. METHODS: We analyzed a prospective cohort of women in eastern Massachusetts enrolled during pregnancy (1999–2002) and followed to midlife (2019–2024). Exposures included household income, education, race and ethnicity, and neighborhood Social Vulnerability Index (categorized from very low [<20th percentile] to very high [≥80th percentile]; higher categories=greater neighborhood vulnerability). Women self-reported their menopause status using questionnaires. Using Life’s Essential 8, we derived CVH scores (0–100 points; higher score=better CVH) at 3-, 8-, 13-, 18-, and 23-year follow-up visits. Linear spline mixed-effect models examined associations of sociodemographics and neighborhood Social Vulnerability Index with differences in CVH across different menopause stages (premenopause, perimenopause, and postmenopause). RESULTS: Among 1200 women (mean enrollment age, 32.1 years; 67.5% Non-Hispanic White), 15.4% had household incomes ≤$40 000/y, 8.8% had ≤high school education, and 17.4% resided in very high Social Vulnerability Index neighborhoods. After covariate adjustment, women with lower income, lower education, or identifying as Non-Hispanic Black exhibited lower CVH across follow-up. Independent of individual sociodemographics, continued residence in vulnerable neighborhoods over time was associated with lower CVH and unfavorable CVH trajectories across follow-up. For example, residence in very high (versus very low) Social Vulnerability Index neighborhoods from enrollment to 3-year follow-up corresponded to mean CVH differences of −6.7 (95% CI, −12.3 to −1.2) at 3-year, −9.8 (95% CI, −15.6 to −4.0) at 8-year, −8.9 (95% CI, −13.9 to −3.9) at 13-year, −6.7 (95% CI, −12.9 to −0.5) at 18-year, and −7.2 (95% CI, −12.5 to −1.9) at 23-year follow-up, and with faster CVH score decline during premenopause (−0.62 points/y; 95% CI, −1.22 to −0.02). CONCLUSIONS: Women from disadvantaged sociodemographic backgrounds or residing in vulnerable neighborhoods exhibit poorer CVH across the menopausal transition, highlighting opportunities to optimize long-term CVH and mitigate cardiovascular disease risk.
Fecal transplants for autism deliver success in clinical trials
Scientific research continues to uncover interesting connections between the gut microbiome and human health, including everything from depression to PTSD to autoimmune disease. Another example of this are emerging ties between gut health and autism. Exciting new research, now moving to Phase 3 human trials, has found boosting microbial diversity via fecal transplants can dramatically reduce autism symptoms in the long term.
OpenAI shares data on ChatGPT users with suicidal thoughts, psychosis
The figure could mean potentially hundreds of thousands of users show signs of mental health distress weekly.
The effect of social media on well-being differs from adolescent to adolescent
The question whether social media use benefits or undermines adolescents’ well-being is an important societal concern. Previous empirical studies have mostly established across-the-board effects among (sub)populations of adolescents. As a result, it is still an open question whether the effects are unique for each individual adolescent. We sampled adolescents’ experiences six times per day for one week to quantify differences in their susceptibility to the effects of social media on their momentary affective well-being. Rigorous analyses of 2,155 real-time assessments showed that the association between social media use and affective well-being differs strongly across adolescents: While 44% did not feel better or worse after passive social media use, 46% felt better, and 10% felt worse. Our results imply that person-specific effects can no longer be ignored in research, as well as in prevention and intervention programs.
Homebound: The Long-Term Rise in Time Spent at Home Among U.S. Adults
The changes in daily life induced by the COVID-19 pandemic brought renewed attention to longstanding concerns about social isolation in the United States. Despite the links between the physical setting for individuals' daily lives and their connections with family, friends, and the various institutions of collective life, trends in where American adults spend their time have been largely overlooked as researchers have focused on how and with whom they spend their time. This article analyzes data from the American Time Use Survey over a timeframe spanning nineteen years and argues that the changes in Americans' daily routines induced by the COVID era should be seen as an acceleration of a longer-term trend: the rise of time spent at home. Results show that from 2003 to 2022, average time spent at home among American adults has risen by one hour and 39 minutes in a typical day. Time at home has risen for every subset of the population and for virtually all activities. Preliminary analysis indicates that time at home is associated with lower levels of happiness and less meaning, suggesting the need for enhanced empirical attention to this major shift in the setting of American life.
