Shelby L Langer, Michael Todd, Laura S Porter, Rachel Koffer
{"title":"Prospective Links between Intraindividual Measures of Negative Affect and Physical Well-being among Couples Coping with Cancer.","authors":"Shelby L Langer, Michael Todd, Laura S Porter, Rachel Koffer","doi":"10.1097/PSY.0000000000001522","DOIUrl":"https://doi.org/10.1097/PSY.0000000000001522","url":null,"abstract":"<p><strong>Objective: </strong>Research examining associations between intraindividual variability in affective experiences and health stems largely from non-clinical samples and individuals versus within a dyadic context. We sought to examine this linkage in couples coping with cancer.</p><p><strong>Methods: </strong>233 patients with cancer and their spouses/partners (mean age = 52.5) completed twice-daily ecological momentary assessments for 14 days. Nine negative affect items were used to compute intraindividual negative affect means, standard deviations (SDs, capturing overall dispersion), and mean square successive differences (MSSDs, capturing occasion-to-occasion shifts). Upon study entry and 12 months later, participants completed a measure of physical well-being. Within- and across-partner associations between negative affect dynamics and 12-month change in physical well-being were examined using an Actor-Partner Interdependence Model framework.</p><p><strong>Results: </strong>When SD was used as the indicator of negative affect intraindividual variability, higher mean negative affect predicted declines in physical well-being for caregivers (actor effect, P=.035), and greater patient variability predicted declines in caregiver physical well-being (partner effect, P=.036). When MSSD was used as the indicator of intraindividual variability, greater patient variability predicted declines in their own physical well-being more strongly among those with lower average negative affect (patient mean x patient MSSD interaction, P=.021) and for patients whose partners had greater negative affect variability (patient MSSD x caregiver MSSD interaction, P=.013).</p><p><strong>Conclusions: </strong>Future work could examine intervention strategies to minimize negative affect and foster equanimity in this population, potentially tailoring based on participants' own mean levels and their partner's variability.</p>","PeriodicalId":520402,"journal":{"name":"Biopsychosocial science and medicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148842179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jennifer Morozink Boylan, Dakota W Cintron, Julia K Boehm
{"title":"\"Be Good to Others and Treat People as you Would Like to be Treated Yourself.\" A Mixed Methods Investigation of Positive Social Relationships and Cardiovascular Health in the MIDUS Study.","authors":"Jennifer Morozink Boylan, Dakota W Cintron, Julia K Boehm","doi":"10.1097/PSY.0000000000001521","DOIUrl":"https://doi.org/10.1097/PSY.0000000000001521","url":null,"abstract":"<p><strong>Objective: </strong>We analyzed qualitative data about social relationships and examined their quantitative associations with concurrent and prospective cardiovascular health (CVH).</p><p><strong>Methods: </strong>Cross-sectional analyses involved the Midlife in the United States (MIDUS) Study wave 2 (M2) and Refresher (MR) biomarker samples (N=2036). Longitudinal analyses involved participants with both M2 and MIDUS wave 3 (M3) biological data (N=650). Participants wrote responses to the question \"What do you do to make your life go well?\" Judges evaluated each response for 11 aspects of relationships (e.g., communication, mentoring). CVH was assessed at M2, MR, and M3 via the American Heart Association's Life's Essential 8 measure (i.e., a composite of diet, physical activity, smoking, sleep, blood pressure, cholesterol, glucose, BMI). Pre-registered linear regression models examined associations between each positive relationship aspect and CVH.</p><p><strong>Results: </strong>Positive relationships were mentioned in 71.8% of responses. Aspects of relationships that were associated with CVH in unadjusted cross-sectional or longitudinal models included positively evaluating a relationship (i.e., loving, caring, respecting), spending time together, and physical intimacy. None of the relationship subthemes were associated with concurrent or prospective CVH after adjusting for sociodemographic factors and response word count.</p><p><strong>Conclusions: </strong>Qualitative assessments captured unique perspectives on social relationships that are relevant for well-being and are not well-represented with self-report measures. Although relational subthemes did not show significant associations with CVH, the null findings may reflect limited statistical power rather than the absence of meaningful effects. Promises and challenges of mixed methods biopsychosocial science and medicine research are discussed.</p>","PeriodicalId":520402,"journal":{"name":"Biopsychosocial science and medicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148820910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Melissa Flores, Savannah M Boyd, Riley M O'Neill, Amelia Ibarra-Mevans, Hatty Lara, Kelly N B Palmer
{"title":"Social Network Density and Healthcare Access and Utilization Among Racially and Ethnically Diverse Older Adults.","authors":"Melissa Flores, Savannah M Boyd, Riley M O'Neill, Amelia Ibarra-Mevans, Hatty Lara, Kelly N B Palmer","doi":"10.1097/PSY.0000000000001515","DOIUrl":"https://doi.org/10.1097/PSY.0000000000001515","url":null,"abstract":"<p><strong>Objective: </strong>Previous literature emphasizes the benefits of social integration for accessing and utilizing healthcare. However, many studies overlook the role of social network infrastructure, specifically the degree to which a network is interconnected (social network density). Social network density has been associated physiological benefits for ethnic minority older adults; however, little is known about whether a densely connected social network facilitates healthcare access and utilization. The current study examined the association between social network density, healthcare access, and utilization across racial and ethnic groups over five years in a national sample of older adults.</p><p><strong>Methods: </strong>Waves 1 (2005-2006) and 2 (2010-2011) from The National Social Life, Health, and Aging Project (N=2240) were analyzed. Social network data were collected using ego-centric network rosters and analyzed using social network analysis. We estimated multiple logistic regression models weighted for selection probability and nonresponse with binary healthcare access and utilization outcomes. Each model included the interaction between social network density and racial-ethnic group, their main effects, and relevant covariates.</p><p><strong>Results: </strong>Racial-ethnic group significantly moderated associations between social network density and healthcare access (Wald χ2 (4, 1641)=4.41, P=0.002) and utilization (Wald χ2 (4, 1642)=2.84, P=0.023). Social network density only benefited non-Hispanic White older adults and was, conversely, risky for American Indian/Alaska Native older adults. Other between-group differences were observed.</p><p><strong>Conclusion: </strong>Our study did not find that social network density was protective for healthcare access and utilization. Our findings reveal the complex interaction among network dynamics, U.S. racial-ethnic status, and health behavior.</p>","PeriodicalId":520402,"journal":{"name":"Biopsychosocial science and medicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148804944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Katherine R Thorson, Amie M Gordon, Katherine E T Ross, Kareena S Del Rosario, Aric A Prather, Wendy Berry Mendes
{"title":"A Multimodal Investigation of Empathic Stress During Acute Stress Exposure in Romantic Couples: Does Sleep Deprivation Play a Role?","authors":"Katherine R Thorson, Amie M Gordon, Katherine E T Ross, Kareena S Del Rosario, Aric A Prather, Wendy Berry Mendes","doi":"10.1097/PSY.0000000000001518","DOIUrl":"https://doi.org/10.1097/PSY.0000000000001518","url":null,"abstract":"<p><strong>Objective: </strong>Observing a loved one undergo a stressful experience can be a stressor in and of itself. However, the extent to which an observer can experience or \"catch\" another person's stress may depend on the observer's available resources. Here, we test how personal resources shape empathic stress by examining the impact of sleep deprivation on people's biopsychosocial responses while observing a romantic partner undergo a stressful experience.</p><p><strong>Methods: </strong>In the lab (Nfinal=136 individuals, 68 couples), one partner underwent the Trier Social Stress Test (TSST) while the other partner observed. Prior to the lab visit, half of observers were randomly assigned to undergo partial sleep deprivation for two nights. During the TSST, we assessed observers' and speakers' subjective stress, non-verbal behavior, and physiological reactivity (cortisol and autonomic nervous system reactivity). We then examined the extent to which observers showed stress reactivity during their partner's TSST (i.e., vicarious stress) and the extent to which observers' stress reactivity covaried with speakers' stress reactivity (i.e., stress contagion).</p><p><strong>Results: </strong>Observers showed a vicarious stress response across self-report and physiological measures, but there was little evidence of stress contagion. That is, although watching one's partner undergo a stressor was associated with increased affective and physiological reactivity, those responses did not consistently align with their partners' responses. Sleep deprivation did not affect empathic stress.</p><p><strong>Conclusions: </strong>Overall, these results show robust, multi-measure evidence of a vicarious stress response for observers that was unaffected by two nights of partial sleep deprivation.</p>","PeriodicalId":520402,"journal":{"name":"Biopsychosocial science and medicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148715226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Body Roundness Index Predicts Incident Cardio-metabolic-depression Multimorbidity: A Dose-response Analysis of 19,802 Adults in CHARLS and ELSA Cohorts.","authors":"Fei Song, Mengjin Hu, Jinggang Xia, Chunlin Yin","doi":"10.1097/PSY.0000000000001517","DOIUrl":"https://doi.org/10.1097/PSY.0000000000001517","url":null,"abstract":"<p><strong>Objective: </strong>To examine the association between body roundness index (BRI) and cardio-metabolic-depression multimorbidity.</p><p><strong>Methods: </strong>This study used data of two prospective cohorts: China Health and Retirement Longitudinal Study (CHARLS) and English Longitudinal Study of Ageing (ELSA). Firstly, the relationship between baseline BRI and the incidence of cardio-metabolic-depression multimorbidity was analyzed using Cox regression models. Subsequently, stratified Cox models with interaction terms were conducted among different groups. To investigate the potential nonlinear relationships, restricted cubic spline (RCS) regression of hazard ratio (HR) was employed. Furthermore, longitudinal associations between BRI and cardio-metabolic-depression multimorbidity over time were estimated by using generalized estimating equations (GEE) model.</p><p><strong>Results: </strong>A total of 12,840 participants from CHARLS (female: 52.7%, mean age: 58.39 y), 6962 from ELSA (female: 55.0%, mean age: 65.94 y) were included according to inclusion and exclusion criteria. Cox models revealed consistent and significant association between BRI (continuous and quartiles) and cardio-metabolic-depression multimorbidity risk. Fully adjusted HRs showed a progressive increase compared to Q1, indicating a strong graded association (P for trend <0.001). Stratified analyses showed no significant interactions by demographic and lifestyle factors. In both cohorts, RCS analyses revealed particularly steep risk gradients beyond BRI values of 4. GEE analyses confirmed significant longitudinal associations with cardio-metabolic-depression multimorbidity risk. Sensitivity analyses including landmark, outlier exclusion, and multiple imputation approach consistently supported these findings.</p><p><strong>Conclusions: </strong>Higher BRI consistently predicts cardio-metabolic-depression multimorbidity across populations in a dose-dependent patterns. These findings highlight BRI's potential for early risk stratification and integrated care approaches that target metabolic-mental health interactions.</p>","PeriodicalId":520402,"journal":{"name":"Biopsychosocial science and medicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148665405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Meredith L Phillips, Peter J Gianaros, Mark R Scudder, C Elizabeth Shaaban, Tae Kim, Andrea L Rosso
{"title":"Objective, Relative, and Subjective Measures of Socioeconomic Status and White Matter Hyperintensities: A Cross-sectional Analysis in Midlife Adults.","authors":"Meredith L Phillips, Peter J Gianaros, Mark R Scudder, C Elizabeth Shaaban, Tae Kim, Andrea L Rosso","doi":"10.1097/PSY.0000000000001516","DOIUrl":"https://doi.org/10.1097/PSY.0000000000001516","url":null,"abstract":"<p><strong>Objective: </strong>Lower socioeconomic status (SES) is associated with adverse health outcomes, including poor brain health and greater white matter hyperintensity (WMH) volume. Traditional SES measures may not fully capture the socioeconomic experience. This study examined associations between three SES indicators and WMH volume in a healthy, midlife adult sample.</p><p><strong>Methods: </strong>In data from participants of the Neurobiology of Adult Health (NOAH) Project who underwent high-resolution 7T MRI, we estimated the association between three SES measures: household income; income relative to neighborhood average; and subjective SES with WMH volumes. We fit linear regression models estimating associations between SES and log-transformed WMHs, controlling for age, race, ethnicity, and household size. We tested effect measure modification by sex using its interaction with SES measures. We investigated whether subclinical cardiovascular disease or cardiovascular risk mediated these associations.</p><p><strong>Results: </strong>Participants (N=189) were aged 28-56 (60% female). Neither absolute nor relative household income was associated with WMH volume. However, a significant interaction emerged between subjective SES and sex (β=-0.26, 95% CI: -0.44 to -0.08), indicating that lower subjective SES was associated with greater WMH volume in female but not male participants. We found no significant mediators.</p><p><strong>Conclusions: </strong>Subjective SES may be a more sensitive predictor of brain health in midlife than other SES measures, particularly for female participants. Sex differences in WMH burden and SES-health associations may reflect factors not captured in traditional models. This study highlights the value of incorporating multiple contextual SES measures and considering sex differences when assessing neurocognitive risk.</p>","PeriodicalId":520402,"journal":{"name":"Biopsychosocial science and medicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148650538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jeenkyoung Lee, Megan Gilligan, Hanamori F Skoblow, Meng Huo, Destiny M Ogle, Sarah E Killoren
{"title":"Hair Cortisol Concentration among Siblings Caring for a Parent with Dementia: A Dyadic Approach to Sibling Relationship Quality and Perceived Caregiving Stress.","authors":"Jeenkyoung Lee, Megan Gilligan, Hanamori F Skoblow, Meng Huo, Destiny M Ogle, Sarah E Killoren","doi":"10.1097/PSY.0000000000001511","DOIUrl":"https://doi.org/10.1097/PSY.0000000000001511","url":null,"abstract":"<p><strong>Objective: </strong>Sibling relationship quality and perceived caregiving stress contribute to dementia caregivers' well-being. However, few studies have examined the biopsychosocial mechanisms underlying sibling interdependence in the caregiving context, particularly using cortisol. The aim of this study was to examine the dyadic associations between sibling relationship quality (i.e., closeness, tension, ambivalence: simultaneous positive and negative feelings), perceived caregiving stress (i.e., emotional and physical stress experienced by caregivers) and hair cortisol concentration (HCC) among siblings caring for a parent with Alzheimer's disease and related dementias (ADRD).</p><p><strong>Methods: </strong>Data came from 66 sibling dyads (M age=56.5; 91% women) caring for a parent with ADRD. Participants reported their sibling relationship quality and perceived caregiving stress through a self-report survey. Cortisol was extracted from hair samples using optimized liquid chromatography-tandem mass spectrometry.</p><p><strong>Results: </strong>The actor-partner interdependence model revealed that individuals exhibited higher HCC when they felt emotionally closer to their sibling (i.e., actor effect), as well as when their sibling reported greater ambivalence toward them and more severe emotional caregiving stress (i.e., partner effects). Neither the actor nor partner effects of sibling tension or physical caregiving stress on HCC were significant.</p><p><strong>Conclusions: </strong>This study contributes to the understanding of the biopsychosocial processes shaping siblings' experiences in parental dementia caregiving by highlighting the dyadic associations between sibling relationship quality, perceived caregiving stress, and HCC.</p>","PeriodicalId":520402,"journal":{"name":"Biopsychosocial science and medicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148538039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M Rosie Shrout, Stephanie J Wilson, Megan E Renna, Annelise A Madison, MiKaila J Leonard, Lisa M Christian, Elissa S Epel, Christin E Burd, Jue Lin, Samuel H Molli, Kelsi Broich, Khiara Cardoza Brown, Allison Swarens, Janice K Kiecolt-Glaser
{"title":"The Compounding Risks of Early Life Adversity and Couples' Later Life Conflicts in Biological Aging.","authors":"M Rosie Shrout, Stephanie J Wilson, Megan E Renna, Annelise A Madison, MiKaila J Leonard, Lisa M Christian, Elissa S Epel, Christin E Burd, Jue Lin, Samuel H Molli, Kelsi Broich, Khiara Cardoza Brown, Allison Swarens, Janice K Kiecolt-Glaser","doi":"10.1097/PSY.0000000000001490","DOIUrl":"10.1097/PSY.0000000000001490","url":null,"abstract":"<p><strong>Objective: </strong>Abuse in both childhood and adult romantic relationships is linked to age-related health problems. Positive marital dynamics, however, can buffer stress and protect health, particularly as couples grow older. In this longitudinal study, we applied dyadic and life-course stress theories to examine how couples' destructive, abusive conflicts exacerbate biological aging associated with early life adversity, while constructive conflicts temper adversity's biological aging toll.</p><p><strong>Methods: </strong>Married couples (n=107 couples, 214 individuals, ages 40-87 y) in mixed-sex relationships completed two visits, two years apart. Partners completed the Childhood Adversities scale, Childhood Trauma Questionnaire, and the Revised Conflict Tactics Scale short form. Blood-based measurements of biological aging included telomere length, T cell p16INK4a expression, and epigenetic age acceleration (EAA; PhenoAgeEAA, GrimAgeEAA, HannumEAA, Horvath2EAA, DunedinPACE).</p><p><strong>Results: </strong>Linear mixed models showed those with greater childhood family adversities had shorter telomeres and accelerated epigenetic aging (PhenoAgeEAA, GrimAgeEAA, DunedinPACE). Over two years, childhood family adversities or maltreatment predicted larger rises in p16INK4a and accelerated epigenetic aging (Horvath2EAA, PhenoAgeEAA, DunedinPACE). Couples' destructive conflicts moderated concurrent effects: spouses who experienced adversity or maltreatment in both childhood and the past year of their marriage aged 10 months faster in GrimAgeEAA and DunedinPACE. Constructive conflicts were not related to biological aging nor helped offset adversity's biological aging toll.</p><p><strong>Conclusions: </strong>Couples' destructive, abusive conflict tactics exacerbate the harmful effects of early life adversity on the rate of biological aging in mid-to-late life. Adverse and abusive relationships in both early and later life show synergistic effects to accelerate biological aging.</p>","PeriodicalId":520402,"journal":{"name":"Biopsychosocial science and medicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148458342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Temporal Structures of Physiological Influence During Couples' Support Discussions: An Application of Continuous-time SEM.","authors":"Theresa Pauly, Yuthika U Girme","doi":"10.1097/PSY.0000000000001506","DOIUrl":"https://doi.org/10.1097/PSY.0000000000001506","url":null,"abstract":"<p><strong>Objectives: </strong>We use continuous-time structural equation modeling (ctSEM) to model physiological influence in couples during a support conversation, capturing the direction and strength of linkage separately for the support provider and recipient. ctSEM accounts for the fact that physiological systems react at different speeds, helping to identify how quickly influence occurs and when it peaks for each system.</p><p><strong>Methods: </strong>80 Couples took part in a 7-minute support discussion where a support recipient discussed a personal goal with their partner (support provider). Physiological data were recorded using 7 electrocardiogram and 2 electrodermal activity sensors and couples filled out self-report questionnaires pre and post the discussion. ctSEM models were used to analyse physiological influence.</p><p><strong>Results: </strong>Partners showed significant physiological influence in inter-beat interval (IBI) and skin conductance level (SCL), but not in pre-ejection period. IBI influence peaked at a 2-3 s lag (only from support recipient to provider). In contrast, SCL showed mutual influence peaking at 15-16 s.</p><p><strong>Conclusions: </strong>Our findings show that physiological influence unfolds at different speeds, with IBI co-regulation occurring faster than skin conductance-consistent with known autonomic response patterns. ctSEM proved useful in capturing the timing and direction of these effects, offering a more precise, flexible approach than discrete-time models by modeling the continuous nature of physiological processes. Its ability to identify peak time-lags can help guide future study designs and sampling strategies.</p>","PeriodicalId":520402,"journal":{"name":"Biopsychosocial science and medicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148458363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Witnessing Community Violence in Youth and Susceptibility to the Common Cold in Adulthood.","authors":"Yeon Sik Jang, Jessica Chiang","doi":"10.1097/PSY.0000000000001482","DOIUrl":"10.1097/PSY.0000000000001482","url":null,"abstract":"<p><strong>Objective: </strong>The current study investigated the relationship between witnessing community violence in youth and susceptibility to the common cold in adulthood, using Common Cold Project data.</p><p><strong>Methods: </strong>Two hundred twelve adults (42% female, aged 18 to 55) recalled witnessing community violence in youth (ages 5, 10, 15) retrospectively, completed other demographic and psychosocial measures, and were then subsequently exposed to a virus that causes the common cold. After exposure, if participants displayed both infection and signs of illness, they were diagnosed with the common cold.</p><p><strong>Results: </strong>Multiple logistic regression analyses showed that witnessing community violence in youth was related to greater susceptibility to the common cold in adulthood [b (SE)=0.75 (0.30), OR=2.11, 95% CI=1.18, 3.83, p =.012)] when controlling for current socioeconomic status, early socioeconomic status, prechallenge serostatus, race/ethnicity, age, and sex. This relationship continued to be significant when adjusting in separate models for (1) BMI and season of viral challenge; (2) current health, health behaviors, and perceived stress; and (3) early physical, social, and safety of neighborhood environments and stressful home settings.</p><p><strong>Conclusions: </strong>Witnessing community violence in youth may be an important risk factor for susceptibility to the common cold in adulthood.</p>","PeriodicalId":520402,"journal":{"name":"Biopsychosocial science and medicine","volume":" ","pages":"547-554"},"PeriodicalIF":0.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147680104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}