Adult Age Research Articles

Older Adults' Use of Cannabis and Attitudes Around Disclosing Medical Cannabis Use to Their Healthcare Providers in California: A Mixed Methods Study.

The rapidly changing policy climate related to cannabis legalization has led to drastic changes in cannabis use in the United States (US). Medical cannabis use is increasing overall, but at a faster rate among older adults compared to other age groups. The aim was to investigate older adults' cannabis use behaviors and attitudes around disclosing medical cannabis use to their primary healthcare providers (HCPs). Nineteen older adults (ages 65+ years) with self-reported medical cannabis use were recruited from flyers posted in ambulatory clinics in San Diego, CA. Surveys and semi-structured interviews on cannabis use were completed. A multi-methods approach was used to analyze data. Participants' mean age was 75.3 years; 52.6% identified as women, and 89.5% as White. Cannabis was used by all participants to treat pain and by 75% for insomnia, with 25-33% reductions in use of prescription medications to treat these symptoms. Approximately 89% reported their primary HCPs were aware of their cannabis use, and 84.2% felt very comfortable/comfortable talking to HCPs about cannabis. Common themes from interviews included participants (1) being motivated to disclose cannabis use to their HCPs to seek medical advice on dosing, side effects, and benefits of cannabis, (2) feeling comfortable disclosing cannabis use as legalization has eased the stigma around cannabis use, and (3) perceiving mostly neutral attitudes from HCPs on their cannabis use. The study emphasizes the pivotal role of HCPs as educators in addressing patient inquiries about cannabis, underlining the need for equipping healthcare professionals with evidence-based knowledge through education and training initiatives.

Assessment of the onset of analgesia and length of analgesia following the use of PBM with different wavelengths: a clinical study

This clinical study assessed photobiomodulation (PBM) induced analgesic effects of diode lasers and an LED light source on the dental pulp. Baseline responses to electric pulp testing (EPT) were recorded in 93 healthy unrestored premolar teeth in 26 adults (age range 22–63 years) attending a private dental practice. The teeth were irradiated on buccal and lingual aspects of the crown, by placing the tips on the middle third of the crown of the teeth, on separate days for each of 4 different light sources (660, 808, or 904 nm diode lasers, or a novel multi-wavelength LED light source (700–1100 nm)) using comparable parameters (100 mW, 30 s, 6 J). EPT scores were measured after a further 1-, 2-, 5- and 20-min. Discomfort caused by PBM therapy was recorded using the Wong-Baker scale. EPT changes were tracked over time using repeated measures analysis of variance. Baseline EPT scores were very consistent between different days (linear regression r2 0.9422–0.9648). All PBM devices caused a significant elevation in EPT at 5 min, with an earlier onset at 2 mins for 904 nm and LED. The LED was the only light source that elevated scores at 20 min. Across 2–20 min, when ranked by effectiveness, the greatest EPT elevations were seen for LED, followed by 904 nm, then 660 nm and finally 808 nm. Discomfort during PBM was most common with 904 nm, followed by 808 nm. No discomfort occurred from the LED. Among the light sources utilized, the LED multi-wavelength system demonstrated the largest increase in EPT readings, suggesting its potential as a non-pharmacological alternative for achieving dental analgesia compared to diode lasers.

Use of machine learning models to predict neurologically intact survival for advanced age adults following out‐of‐hospital cardiac arrest

Use of machine learning models to predict neurologically intact survival for advanced age adults following out‐of‐hospital cardiac arrest

Ambient fine particulate matter and its constituents may exacerbate the acceleration of aging in adults

Both ambient fine particulate matter (PM2.5) and aging are important urban concerns. However, the associations between PM2.5 constituents and the acceleration of aging (AA) remain unclear. We included 16,051 adults (aged 25–80 years) with 19,252 medical observations in Taiwan during 2008−2017. 2-year average PM2.5 and its five major constituents were assessed using a two-stage machine learning model at a resolution of 1 km2. AA was determined by the difference between the Klemera–Doubal biological age and chronological age. A linear mixed model (LMM) with inverse probability weights was used to examine the associations between AA and air pollution. In a semi-randomized study design, we applied a post-matching LMM to assess the impacts of changes in air pollution exposure on AA. Each interquartile range increase in ambient PM2.5, SO4-2, NO3–, NH4+, organic matters (OM), and black carbon (BC) was associated with a 0.20 (95 %confidence interval [CI]: 0.17–0.24), 0.19 (0.15–0.23), 0.14 (0.11–0.18), 0.21 (0.17–0.24), 0.22 (0.19–0.26) and 0.25 (0.21–0.28) year increase in AA, respectively. BC was generally associated with the greatest increase in AA as compared to other constituents. We did not find evident thresholds in their concentration–response associations. Participants exposed to increased levels of PM2.5, SO4-2, NO3–, NH4+, OM, and BC experienced an increase in AA of 0.11 (−0.07–0.29), 0.20 (0.02–0.39), 0.15 (−0.02–0.33), 0.12 (−0.07–0.31), 0.24 (0.07–0.41), and 0.30 (0.07–0.52) years, respectively, compared to those exposed to decreased/unchanged levels. Long-term exposure to ambient PM2.5 and its constituents may accelerate biological aging among Chinese adults. Exposed to increased levels may further aggregate the aging process. This study suggests that reducing exposure to air pollution is beneficial, even for residents within moderately-to-highly polluted regions, such as Taiwan. Rigorous regulation of PM2.5 and its constituents may prevent the acceleration of biological age.

Mediterranean Diet Modulation of Neuroinflammation-Related Genes in Elderly Adults at High Cardiovascular Risk.

Individuals with dementia and neurodegenerative diseases (NDDs) often suffer from cardiovascular diseases (CVDs). Neuroinflammation driven by conditions involved in CVDs is linked to disruptions in the central nervous system triggering immune reactions, perpetuating an "inflammatory-like" environment. The Mediterranean diet (MedDiet), known for its anti-inflammatory and antioxidant properties, has been proposed as a key factor to attenuate these risks. Blood nuclear cell samples were collected from 134 participants of the PREDIMED trial, which randomized participants to three diets: one supplemented with extra-virgin olive oil (MedDiet-EVOO), another with nuts (MedDiet-Nuts), and a low-fat control diet. These samples were analyzed at baseline and 12-month follow-up to assess the impact of these dietary interventions on gene expression markers. We first selected target genes by analyzing intersections between NDD and CVD associations. Significant gene expression changes from baseline to 12 months were observed in the participants allocated to the MedDiet-EVOO, particularly in CDKN2A, IFNG, NLRP3, PIK3CB, and TGFB2. Additionally, TGFB2 expression changed over time in the MedDiet-Nuts group. Comparative analyses showed significant differences in TGFB2 between MedDiet-EVOO and control, and in NAMPT between MedDiet-Nuts and control. Longitudinal models adjusted for different covariates also revealed significant effects for TGFB2 and NAMPT. In conclusion, our results suggest that one year of traditional MedDiet, especially MedDiet-EVOO, modulates gene expression associated with CVD risk and NDDs in older adults at high CV risk.

Automated segmentation of midbrain nuclei using deep learning and multisequence MRI: a longitudinal study on iron accumulation with age

Abstract Elevated levels of brain iron, particularly within the basal ganglia, have been associated with cognitive and motor impairment in normal aging and neurodegenerative conditions. The subthalamic nucleus (STN), substantia nigra (SN), and red nucleus (RN), despite their high iron content and contribution to motor and cognitive processes, are less frequently studied. This oversight can largely be attributed to the challenges posed by in-vivo assessments of these small, deep-seated midbrain structures. We developed and validated an automated tool for the segmentation of the STN, SN, and RN. Multi-sequence magnetic resonance imaging (MRI) data including T1-weighted, FLAIR, Quantitative Susceptibility Mapping (QSM) and R2* alongside manual delineation on QSM images of 40 individuals, was used to train segmentation models based on nnU-Net deep-learning framework. A combination of QSM and FLAIR sequences was found to be optimal for structure segmentation (mean Dice scores of 0.84, 0.91 and 0.94 for STN, SN and RN, respectively). We next applied the automated segmentation method to an independent 3-year longitudinal dataset including 175 healthy adults (age range at baseline: 20-79 years old). Structural equation modelling was used to assess iron accumulation over time using age, sex, baseline iron and regional volume as factors of interest. Cross-sectionally, older age was linearly associated with higher iron load in SN and STN; the association was non-linear in RN. Longitudinally, results indicated significant iron accumulation in the STN (Mean increase = 0.02, p = 0.005) and SN (Mean increase = 0.035, p = 0.001), but not in the RN (Mean increase = 0.015, p = 0.2). Our findings demonstrated high performance of nnU-Net in automated segmentation, and advanced our understanding of iron accumulation in midbrain nuclei in aging.

Preschool-age children maintain a distinct memory CD4+ T cell and memory B cell response after SARS-CoV-2 infection.

The development of the human immune system lasts for several years after birth. The impact of this maturation phase on the quality of adaptive immunity and the acquisition of immunological memory after infection at a young age remains incompletely defined. Here, using an antigen-reactive T cell (ARTE) assay and multidimensional flow cytometry, we profiled circulating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-reactive CD3+CD4+CD154+ T cells in children and adults before infection, during infection, and 11 months after infection, stratifying children into separate age groups and adults according to disease severity. During SARS-CoV-2 infection, children younger than 5 years old displayed a lower antiviral CD4+ T cell response, whereas children older than 5 years and adults with mild disease had, quantitatively and phenotypically, comparable virus-reactive CD4+ T cell responses. Adults with severe disease mounted a response characterized by higher frequencies of virus-reactive proinflammatory and cytotoxic T cells. After SARS-CoV-2 infection, preschool-age children not only maintained neutralizing SARS-CoV-2-reactive antibodies postinfection comparable to adults but also had phenotypically distinct memory T cells displaying high inflammatory features and properties associated with migration toward inflamed sites. Moreover, preschool-age children had markedly fewer circulating virus-reactive memory B cells compared with the other cohorts. Collectively, our results reveal unique facets of antiviral immunity in humans at a young age and indicate that the maturation of adaptive responses against SARS-CoV-2 toward an adult-like profile occurs in a progressive manner.

Ischemic Stroke in Adults With Congenital Heart Disease: Cumulative Incidence and Associated Factors.

When more patients with congenital heart disease reach adult age, increased incidence of long-term complications, including ischemic stroke, are expected. The aim of this study was to analyze cumulative incidence of ischemic stroke, associated factors, and case fatality in adult congenital heart disease. The study is based on Swedish national registers on congenital heart disease and stroke. Patients with congenital heart disease were followed between 2001 and 2018 for first-ever ischemic stroke events (ischemic stroke due to patent foramen ovale excluded). Factors possibly associated with ischemic stroke were analyzed using Cox regression models. Out of 8914 adult patients with congenital heart disease, 108 suffered ischemic stroke over a mean period of 7.6±4.7 years. The mean age at ischemic stroke was 53.8 years, and the cumulative incidence was 0.15% at 1 year, 0.5% at 5 years, and 1.5% at 10 years. In multivariable analysis, age (hazard ratio [HR], 1.04 [95% CI, 1.03-1.06]), diabetes (HR, 2.9 [95% CI, 1.3-6.4]), ejection fraction <50% (HR, 1.9 [95% CI, 1.1-3.4]), atrial septal defect (HR, 3.0 [95% CI, 1.03-8.5]), and aortic valve lesions (HR, 4.8 [95% CI, 1.6-14.1]) were associated with increased risk. Among those with ischemic stroke, approximately half were on antithrombotic treatment (anticoagulants or antiplatelets) before admission. Case fatality was 6.5%. The cumulative incidence of ischemic stroke was 1.5% after 10 years. In adult congenital heart disease, the type of heart lesion, diabetes, ejection fraction <50%, and age were important factors associated with ischemic stroke. Despite a relatively young age, mortality is a significant threat. At time of the ischemic stroke event, approximately half of the patients were on antithrombotic treatment.

Picturing Better Materials: Normative Data on a Novel Illustration Set for Scientific and Clinical Use.

Picture stimuli are essential materials for language research and clinical practice. Here, we generated a modern, full-color set of 310 illustrations representing a carefully designed, culturally sensitive list of imageable nouns. We normed the images in a diverse sample of healthy adults, so the images can be used in various populations, including older adults. We recruited a diverse online sample of 200 adults ages 19-76 years. Participants typed a name for each picture and reported how familiar they were with the item (familiarity) and how well the illustration matched their mental image of the item (image agreement). We assessed relationships among these three measures, between these measures and word features (e.g., frequency, length), and between these measures and demographic characteristics of our sample. Two hundred ninety-seven of 310 items had 70% or higher name agreement among participants. Most items had good to excellent image agreement and familiarity. The image measures showed expected relationships with relevant word features (e.g., frequency, length). Older age was associated with higher image agreement and familiarity but not written naming accuracy. As a group, Black participants demonstrated lower written naming accuracy than White and mixed race participants. Education, sex, and self-reported multilingualism were not significantly related to image measures. We generated a novel set of illustrations with strong name agreement, familiarity, and image agreement, which are suitable for a variety of uses in research and clinical settings. Our normative data suggest a future need for item-level analysis to explore variability in performance across different racial groups. https://doi.org/10.23641/asha.26321926.

Colorectal cancer in older adults after the USPSTF’s 2008 updated screening recommendation

BackgroundColorectal cancer (CRC) screenings can improve detection and prevent precancerous polyps from becoming malignant tumors. In 2008, the United States Preventive Services Task Force (USPSTF) updated their policy and no longer recommended that adults over age 75 screen for CRC. We evaluated how this policy update impacted screening behaviors and CRC outcomes in older adults. MethodsWe obtained data from the Behavioral Risk Factor Surveillance System to analyze blood stool and colonoscopy screening, the Surveillance, Epidemiological, End Results program to analyze CRC staging and survival, the National Association of Centralized Cancer Registries to analyze CRC incidence, and the National Center for Health Statistics to analyze mortality. With a difference-in-differences design, we compared the changes in outcome trends of the exposed group (age 75+), before and after 2008, with the changes in trends of a similar unexposed group (age 65–74). ResultsThere was no association between the 2008 update and blood stool tests in older adults. We did, however, find that the update was associated with a 3.0 %-point decline in the probability of older adults completing a colonoscopy within the past two years (C.I. = −4.0, −2.0). Among older adults diagnosed with CRC, the update was associated with a 1.5 %-point increase in the probability of presenting at an advanced stage (C.I. = 1.1, 1.9). Finally, the update was also associated with lower CRC incidence (Est. = −13.9 cases/100,000 population; C.I. = −22.6, −5.1) and mortality rates (Est. = −5.6 deaths/100,000 population; C.I. = −10.1, −1.1). We observed the largest associations between the policy and CRC outcomes in adults age 85+. DiscussionThe USPSTF’s 2008 recommendation was associated with reduced colonoscopies, especially in adults over age 85. Whether this recommendation, or the 2021 updated guidance, optimizes population health by reducing the burden of CRC screening in older adults remains unknown.

Access to kin, economic stress, and late-life mortality in North Orkney, Scotland, 1851–1911

This paper analyzes the effects of kin availability and short-term economic stress on mortality among older adults in North Orkney, Scotland in the mid-19th through early 20th century. The mortality of those aged 60+ is associated with high oatmeal prices lagged by one year, a delayed effect that may suggest that buffering mechanisms are less effective in the longer term or that relative to younger groups, older adults are better able to cope with the immediate effects of stress. Associations between mortality risk and indicators of kin availability vary by individual sociodemographic characteristics, but they are limited to close kin in both the spatial and genealogical sense. Benefits of nearby, but not coresident kin accrue only to ever-married men during times of high food prices. Coresident and nearby kin are associated with complex patterns of mortality risk, suggesting that family relationships may represent a resource in some circumstances, but a liability in others. There is limited evidence for the effects of expansive kin support for aging adults and support flows do not always favor the older generation.

Norms for neuropsychological tests in cognitively healthy French oldest old adults.

Normal aging often leads to cognitive decline, and oldest old people, over 80 years old, have a 15% risk of developing neurodegenerative diseases. Therefore, it is important to have appropriate tools to assess cognitive function in old age. The study aimed to provide new norms for neuropsychological tests used to evaluate the cognitive abilities in people aged 80 years and older in France, focusing on the impact of education and gender differences. 107 healthy participants with an average age of 85.2 years, with no neurological history or major cognitive deficits were included. A comprehensive neuropsychological assessment was performed, covering several cognitive functions such as memory, visuospatial abilities, executive functions, attention, processing speed, and praxis. Individuals with lower levels of education performed poorly on some tests and took longer to complete. Gender differences were observed, with women outperforming men in verbal episodic memory, while men showed better performance in visuoconstructive tasks. The participants showed lower performance in verbal episodic memory compared to norms established in previous French studies. In relation to executive functions, participants were slower to perform complex tasks than participants in previous studies. This study provides cognitive norms specifically adapted to the oldest old population, which differ from established norms for younger aging adults. It highlights the importance of including these norms in future clinical and scientific investigations. The findings underscore the importance of education on cognitive abilities and emphasize the need to consider gender differences when assessing cognitive functions in aging populations.

Story Recall in Peer Conflict Resolution Discourse Task to Identify Older Adults Testing Within Range of Cognitive Impairment.

The current study used behavioral measures of discourse complexity and story recall accuracy in an expository discourse task to distinguish older adults testing within range of cognitive impairment according to a standardized cognitive screening tool in a sample of self-reported healthy older adults. Seventy-three older adults who self-identified as healthy completed an expository discourse task and neuropsychological screener. Discourse data were used to classify participants testing within range of cognitive impairment using multiple machine learning algorithms and stability analysis for identifying reliably predictive features in an effort to maximize prediction accuracy. We hypothesized that a higher rate of pronoun use and lower scores on story recall would best classify older adults testing within range of cognitive impairment. The highest classification accuracy exploited a single variable in a remarkably intuitive way: using 66% story recall as a cutoff for cognitive impairment. Forcing this decision tree model to use more features or increasing its complexity did not improve accuracy. Permutation testing confirmed that the 77% accuracy and 0.18 Brier skill score achieved by the model were statistically significant (p < .00001). These results suggest that expository discourse tasks that place demands on executive functions, such as working memory, can be used to identify aging adults who test within range of cognitive impairment. Accurate representation of story elements in working memory is critical for coherent discourse. Our simple yet highly accurate predictive model of expository discourse provides a promising assessment for easy identification of cognitive impairment in older adults. https://doi.org/10.23641/asha.26543824.

Rocky Mountain Spotted Fever in Mexico: A Call to Action.

Rocky Mountain spotted fever (RMSF) is an ongoing public health crisis in Mexico, particularly in states bordering the United States. The national highest incidence and mortality of RMSF occur in this region, resulting in a case-fatality rate that ranges annually between 10% and 50%, primarily affecting vulnerable groups such as children, elderly adults, and persons living in poverty. Multiple biological, environmental, and social determinants can explain its growing presence throughout the country and how it challenges the health system and society. It is necessary to integrate resources and capacities from health authorities, research centers, and society to succeed in dealing with this problem. Through a scientific symposium, a group of academicians, U.S. health officials, and Mexican health authorities met on November 8-10, 2023, in Hermosillo, Mexico, to discuss the current situation of RMSF across the country and the challenges associated with its occurrence. An urgent call for action to improve national capacity against RMSF in the aspects of epidemiological and acarological surveillance, diagnosis, medical care, case and outbreak prevention, health promotion, and research was urged by the experts. The One Health approach is a proven multidisciplinary strategy to integrate policies and interventions to mitigate and prevent the burden of cases, deaths, and suffering caused by RMSF in Mexico.

Profiling the sleep architecture of ageing adults using a seven-state continuous-time Markov model.

Sleep is a complex biological process regulated by networks of neurons and environmental factors. As one falls asleep, neurotransmitters from sleep-wake regulating neurones work in synergy to control the switching of different sleep states throughout the night. As sleep disorders or underlying neuropathology can manifest as irregular switching, analysing these patterns is crucial in sleep medicine and neuroscience. While hypnograms represent the switching of sleep states well, current analyses of hypnograms often rely on oversimplified temporal descriptive statistics (TDS, e.g., total time spent in a sleep state), which miss the opportunity to study the sleep state switching by overlooking the complex structures of hypnograms. In this paper, we propose analysing sleep hypnograms using a seven-state continuous-time Markov model (CTMM). This proposed model leverages the CTMM to depict the time-varying sleep-state transitions, and probes three types of insomnia by distinguishing three types of wake states. Fitting the proposed model to data from 2056 ageing adults in the Multi-Ethnic Study of Atherosclerosis (MESA) Sleep study, we profiled sleep architectures in this population and identified the various associations between the sleep state transitions and demographic factors and subjective sleep questions. Ageing, sex, and race all show distinctive patterns of sleep state transitions. Furthermore, we also found that the perception of insomnia and restless sleep are significantly associated with critical transitions in the sleep architecture. By incorporating three wake states in a continuous-time Markov model, our proposed method reveals interesting insights into the relationships between objective hypnogram data and subjective sleep quality assessments.

Motivational Enhancement System for Adherence (MESA) for Adolescents and Young Adults Newly Recommended to Start Antiretroviral Therapy (ART).

Adolescents and young adults (age 13 - 24) accounted for 20% of HIV diagnoses in the United States and 6 dependent areas in 2020. Optimal treatment adherence during adolescence and young adulthood decreases the pool of infectious individuals during the risky sexual activity commonly reported among AYAs living with HIV. Adolescents and young adults newly recommended to start antiretroviral therapy (ART) were recruited, nationally, from seven clinical sites. At each clinical site, participants were randomized to receive a two-session (baseline and 1- month) online intervention. For the Motivational Enhancement System for Health (MESA) intervention condition, based on the principles of motivational interviewing, participants received ART information and personalized feedback + ART standard of care (n = 86), while for the System for Health (SH) control condition, participants received information on healthy eating and physical activity + ART standard of care (n = 66). Adherence was 21% greater in the MESA intervention group compared to the SH control group at 6 months. Additionally, the MESA intervention group was significantly more adherent during the post intervention, and was more likely to maintain viral suppression up to 12 months after initiating ART if both doses of the intervention were received compared to the SH control group. A brief, scalable online computer-delivered intervention shows promise for achieving long-term health outcomes due to improved adherence when intervention occurs early in the course of treatment.

Age estimation from median palatine suture using computed tomography reconstructed 3D images: a comparison of Northern and Southwestern Chinese populations.

To investigate the potential of computed tomography (CT) images of median palatine suture (MP) for adult age estimation in the Northern and Southwestern Chinese populations. A total of 1110 cranial CT scans from individuals aged 10-79years, including 557 northern Chinese and 553 southwestern Chinese, were collected for analysis. After volume reformation and multiplanar reconstruction, a total of 20 slices of median palatine suture were selected from each individual. The closure of sutures was analyzed into four stages, and the cumulative scores of 20 slices were recorded as the suture closure score (SCS). The correlations between SCS and age were compared among the two Chinese populations residing in diverse geographic regions. Regression models were established for age estimation. The estimation accuracy was evaluated based on the test set. The mean absolute error (MAE) and the correlation between predicted age and chronological age were calculated to evaluate estimation accuracy. The SCS of MP exhibited a significant correlation with age (0.613, northern male; 0.678, southwestern male; 0.730, northern female; 0.704, Southwestern female; 0.662, total). Furthermore, there were statistically significant differences in SCS among different regions and sex groups (p < 0.001). The cubic regression model had the highest R2 value in all subjects, especially among Northern females and Southwestern males, while the power and quadratic regression models showed the highest R2 value in Northern males and Southwestern females, respectively. In the test set, the Northern cohort demonstrated a lower MAE (9.06 ± 7.32years, males; 9.17 ± 5.28years, females) compared to the Southwestern cohort (9.19 ± 7.49years, male; 10.61 ± 6.83years, female). Additionally, it was observed that males exhibited a lower MAE than females in both regional groups. This study demonstrated the potential utility of CT images of the MP for age estimation in Chinese populations, emphasizing the significance of incorporating regional and sex factors within this context.

Uncovering the relationship between trace element exposure, cognitive function, and dietary inflammation index in elderly americans from the National Health and Nutrition Examination Survey 2011–2014

BackgroundThe consequences of trace element exposure on cognitive function in elderly adults have been recognized as primarily attributed to the inflammatory response. It is noteworthy that diet can either exacerbate or reduce the inflammatory response. Despite this, there have been limited studies about the effects of diet on the relationship between trace element exposure and cognitive function.MethodsA cross-sectional study utilized data from the 2011–2014 NHANES survey to explore the association between trace element exposure and cognitive function in elderly adults. The study enrolled 1726 participants, and generalized linear regression model (GLM), Bayesian kernel machine regression model (BKMR), weighted quantile sum regression (WQS), and quantile g-computation regression analysis (Qg-comp) were conducted to assess the impact of five trace elements (lead, cadmium, mercury, manganese, and selenium) in blood on cognitive function under the anti-inflammatory and pro-inflammatory diet.ResultsThe GLM analysis showed a positive correlation between selenium (Se) and both the instant recall test (IRT) and digit symbol substitution test (DSST) (β = 2.06, 95% CI: 0.70 ~ 3.41; and β = 6.41, 95% CI: 2.35 ~ 10.46, respectively). In contrast, cadmium (Cd) was negatively associated with DSST (β = -1.17, 95% CI: -2.13~ -0.22), and lead (Pb) was negatively associated with IRT (β = -0.47, 95% CI: -0.82~ -0.11). For the animal fluency test (AFT), the highest quartile of manganese (Mn) was negatively associated with the lowest quartile (β = -0.72, 95% CI: -1.34~-0.10), while mercury (Hg) showed no significant associations with cognitive function tests. Subgroup analysis revealed the effects of Cd on IRT and DSST and Se on DSST under the pro-inflammatory diet. Furthermore, The BKMR analysis showed an inverted U-shaped curve with the negative impact of trace element mixtures and DSST and a linearly negative trend with IRT in the pro-inflammatory diet. Among them, Cd was emphasized as the most potent risk factor, and Se was the most vital protective factor for IRT and DSST in WQS and Qg-comp analysis.ConclusionsThe study suggests that a high-quality diet might alleviate the adverse effects of Cd on IRT and DSST. High Se levels were also associated with better IRT and DSST scores in the pro-inflammatory diet. These findings provide valuable insights into the connection between diet, trace element exposure, and cognitive function in elderly adults.

Eating disorders and health literacy in Germany: results from two representative samples of adolescents and adults.

Eating disorders are associated with substantial burden for the affected individuals including negative health outcomes and increased mortality. So far, prevention programs for eating disorders have yielded mixed results concerning their efficacy. Therefore, more targeted prevention programs need to be developed. Health literacy has been identified as a potential influencing factor of eating disorders. This study aimed at exploring the relationship between likely cases of eating disorders and health literacy, alongside additional sociodemographic factors. Two large samples of adults (N = 3,011) and adolescents (N = 1,021) representative of the German-speaking population in Germany were recruited. Likely cases of eating disorders were identified using the SCOFF questionnaire. Health literacy was assessed with the HLS-EU-Q16 questionnaire. Sociodemographic information, including age, gender, social status and level of education, and subjective body image were obtained. χ2-tests of independence were calculated to determine the association between the investigated constructs. Suspected eating disorders were more likely in female than male adolescents but were not related to gender in adults. Rates of suspected eating disorders increased with increasing age in adolescents and decreased with increasing age in adults. While levels of education were unrelated to suspected eating disorders, low social status was associated with higher rates of suspected eating disorders in adults but not adolescents. Inadequate or problematic health literacy and negative body image were associated with higher rates of suspected eating disorders compared to adequate health literacy and more positive body image. Likely cases of eating disorders are related to health literacy and body image as well as sociodemographic factors. These constructs should therefore be addressed in future research to improve prevention programs.

Association of sleep quality with cognitive dysfunction in middle-aged and elderly adults: a cross-sectional study in China.

Sleep is an indispensable part of human health, which can help us to restore physical strength, enhance immunity and maintain nervous system stability. The relationship between sleep quality and cognitive dysfunction is unclear, especially at the community population level. This study aims to explore the association between sleep quality and cognitive dysfunction. A total of 5,224 community residents were enrolled in this cross-sectional study. Cognitive function was assessed by the Mini-Mental State Examination (MMSE). Sleep quality was assessed by the multidimensional sleep questionnaire. Multivariate logistic regression was used to analyze the association between sleep quality and cognitive dysfunction. The adjusted models took into account relevant demographic, clinical, and sleep variables. A total of 3,106 participants were enrolled in this study, of whom 463 (15%) had cognitive dysfunction. Total sleep duration, staying up, sleep latency, number of awakenings, and history of sleep medications were associated with cognitive dysfunction in unadjusted models, and these effects were consistent after adjustment. First, those who slept 6-7.9 h per day (OR = 0.57, 95% CI 0.40 to 0.80, p = 0.001) had a lower risk for cognitive dysfunction compared to those who slept less than 6 h per day. Second, participants who stayed up more than 10 times over the 3 months (OR = 1.90, 95% CI 1.20 to 3.00, p = 0.006) were more likely to suffer cognitive dysfunction than those who never stayed up. Third, we also found that participants with sleep latencies of 16-30 min were less likely to experience cognitive dysfunction than those with sleep latencies of less than 16 min after adjusting confounders (OR = 0.33, 95% CI 0.23 to 0.47, p < 0.001). Fourth, participants who woke up once (OR = 1.65, 95% CI 1.19 to 2.30, p = 0.003) and three or more times (OR = 2.34, 95% CI 1.25 to 4.36, p = 0.008) after falling asleep had a higher risk than those who did not wake up at night. Last, participants taking sleep medication (OR = 2.97, 95% CI 1.19 to 7.45, p = 0.020) were more vulnerable to cognitive dysfunction, relative to participants without taking any medications. Our results suggest that after adjustment for potential confounding variables, poor sleep quality is associated with cognitive dysfunction.