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Environ Health Perspect 131(10):107007 (2023), https://doi.org/10.1289/EHP11383 To provide a more reliable source of the same information, reference 62 has been changed from 'Kormorniczak M. Tanner Scale. Wikipedia' to 'Marshall WA, [...]

This article proposes a distance‐based framework incentivized by the paradigm shift toward feature aggregation for high‐dimensional data, which does not rely on the sparse‐feature assumption or the permutation‐based inference. Focusing on distance‐based outcomes that preserve information without truncating any features, a class of semiparametric regression has been developed, which encapsulates multiple sources of high‐dimensional variables using pairwise outcomes of between‐subject attributes. Further, we propose a strategy to address the interlocking correlations among pairs via the U‐statistics‐based estimating equations (UGEE), which correspond to their unique efficient influence function (EIF). Hence, the resulting semiparametric estimators are robust to distributional misspecification while enjoying root‐n consistency and asymptotic optimality to facilitate inference. In essence, the proposed approach not only circumvents information loss due to feature selection but also improves the model's interpretability and computational feasibility. Simulation studies and applications to the human microbiome and wearables data are provided, where the feature dimensions are tens of thousands. [ABSTRACT FROM AUTHOR]

INTRODUCTION: Despite their increased application, the heritability of Alzheimer's disease (AD)–related blood‐based biomarkers remains unexplored. METHODS: Plasma amyloid beta 40 (Aβ40), Aβ42, the Aβ42/40 ratio, total tau (t‐tau), and neurofilament light (NfL) data came from 1035 men 60 to 73 years of age (μ = 67.0, SD = 2.6). Twin models were used to calculate heritability and the genetic and environmental correlations between them. RESULTS: Additive genetics explained 44% to 52% of Aβ42, Aβ40, t‐tau, and NfL. The Aβ42/40 ratio was not heritable. Aβ40 and Aβ42 were genetically near identical (rg = 0.94). Both Aβ40 and Aβ42 were genetically correlated with NfL (rg = 0.35 to 0.38), but genetically unrelated to t‐tau. DISCUSSION: Except for Aβ42/40, plasma biomarkers are heritable. Aβ40 and Aβ42 share mostly the same genetic influences, whereas genetic influences on plasma t‐tau and NfL are largely unique in early old‐age men. The absence of genetic associations between the Aβs and t‐tau is not consistent with the amyloid cascade hypothesis. [ABSTRACT FROM AUTHOR]

BACKGROUND: Herbicides are the most used class of pesticides worldwide, and insect repellents are widely used globally. Yet, there is a dearth of studies characterizing the associations between these chemical groups and human neurobehavior. Experimental studies suggest that glyphosate and 2,4-dichlorophenoxyacetic acid (2,4-D) herbicides can affect neurobehavior and the cholinergic and glutamatergic pathways in the brain. We aim to assess whether herbicides and insect repellents are associated with neurobehavioral performance in adolescents. METHODS: We assessed 519 participants (11-17 years of age) living in agricultural communities in Ecuador. We quantified urinary concentrations of glyphosate, 2,4-D, and two N,N-diethyl-meta-toluamide (DEET) insect repellent metabolites [3-(diethylcarbamoyl)benzoic acid (DCBA) and 3-(ethylcarbamoyl) benzoic acid (ECBA)] using isotope-dilution mass spectrometry. We assessed neurobehavioral performance using 9 subtests across 5 domains (attention/inhibitory control, memory/learning, language, visuospatial processing, and social perception). We characterized the associations using generalized estimating equations and multiple imputation for metabolites below detection limits. Models were adjusted for demographic and anthropometric characteristics, urinary creatinine, and sexual maturation. Mediation by salivary cortisol, dehydroepiandrosterone, 17β-estradiol, and testosterone was assessed using structural equation modeling. RESULTS: The mean of each neurobehavioral domain score was between 7.0 and 8.7 [standard deviation (SD) range: 2.0-2.3]. Glyphosate was detected in 98.3% of participants, 2,4-D in 66.2%, DCBA in 63.3%, and ECBA in 33.4%. 2,4-D was negatively associated with all neurobehavioral domains, but statistically significant associations were observed with attention/inhibition [score difference per 50% higher metabolite concentration (β)= -0.19 95% confidence interval (CI): -0.31, -0.07], language [β= -0.12 (95% CI: -0.23, -0.01)], and memory/learning [β= -0.11 (95% CI: -0.22, 0.01)]. Glyphosate had a statistically significant negative association only with social perception [β= -0.08 (95% CI: -0.14, -0.01)]. DEET metabolites were not associated with neurobehavioral performance. Mediation by gender and adrenal hormones was not observed. CONCLUSION: This study describes worse neurobehavioral performance associated with herbicide exposures in adolescents, particularly with 2,4-D. Replication of these findings among other pediatric and adult populations is needed. [ABSTRACT FROM AUTHOR]

Proportional odds models are commonly used to model ordinal responses, but the proportional odds assumption may not hold in practice, leading to biased inference. Tests such as score, Wald and likelihood ratio (LR) have been proposed to evaluate the proportional odds assumption based on models without the assumption. Brant has proposed an independent binary model-based Wald-type test, and Wolfe and Gould have extended the idea to propose an LR-type test. This paper provides a brief review of the Brant and Wolfe-Gould tests for evaluating the proportional odds assumption and evaluates their performance through simulation studies and a real data example. Sample programs are provided in SAS, SPSS and Stata to facilitate the implementation of these tests using standard statistical software packages. This study highlights the importance of evaluating the proportional odds assumption when using proportional odds models for ordinal responses. The sample programs provided in this paper make it easy for researchers to apply these tests in their own analyses using standard statistical software packages. [ABSTRACT FROM AUTHOR]

Background: Fine particulate matter (PM2.5) and nitrogen dioxide (NO2) measures of ambient air pollution are associated with accelerated age-related cognitive impairment, and Alzheimer's disease and related dementias (ADRD). Objective: We examined associations between air pollution, four cognitive factors, and the moderating role of apolipoprotein E (APOE) genotype in the understudied period of midlife. Methods: Participants were ∼1,100 men in the Vietnam Era Twin Study of Aging. Baseline cognitive assessments were from 2003 to 2007. Measures included past (1993–1999) and recent (3 years prior to baseline assessment) PM2.5 and NO2 exposure, in-person assessment of episodic memory, executive function, verbal fluency, and processing speed, and APOE genotype. Average baseline age was 56 years with a 12-year follow-up. Analyses adjusted for health and lifestyle covariates. Results: Performance in all cognitive domains declined from age 56 to 68. Higher PM2.5 exposures were associated with worse general verbal fluency. We found significant exposure-by-APOE genotype interactions for specific cognitive domains: PM2.5 with executive function and NO2 with episodic memory. Higher PM2.5 exposure was related to worse executive function in APOE ɛ4 carriers, but not in non-carriers. There were no associations with processing speed. Conclusion: These results indicate negative effects of ambient air pollution exposure on fluency alongside intriguing differential modifications of cognitive performance by APOE genotype. APOE ɛ4 carriers appeared more sensitive to environmental differences. The process by which air pollution and its interaction with genetic risk for ADRD affects risk for later life cognitive decline or progression to dementia may begin in midlife. [ABSTRACT FROM AUTHOR]

Although logistic regression is the most popular for modelling regression relationships with binary responses, many find relative risk (RR), or risk ratio, easier to interpret and prefer to use this measure of risk in regression analysis. Indeed, since Zou published his modified Poisson regression approach for modelling RR for cross-sectional data, his paper has been cited over 7 000 times, demonstrating the popularity of this alternative measure of risk in regression analysis involving binary responses. As longitudinal studies have become increasingly popular in clinical trials and observational studies, it is imperative to extend Zou's approach for longitudinal data. The two most popular approaches for longitudinal data analysis are the generalised linear mixed-effects model (GLMM) and generalised estimating equations (GEE). However, the parametric GLMM cannot be used for the extension within the current context, because Zou's approach treats the binary response as a Poisson variable, which is at odds with the Bernoulli distribution for the binary response. On the other hand, as it imposes no mathematical model on data distributions, the semiparametric GEE is coherent with Zou's modified Poisson regression. In this paper, we develop a GEE-based longitudinal model for binary responses to provide inference about RR. [ABSTRACT FROM AUTHOR]

Objective: To determine associations of alcohol use with cognitive aging among middle-aged men. Method: 1,608 male twins (mean 57 years at baseline) participated in up to three visits over 12 years, from 2003–2007 to 2016–2019. Participants were classified into six groups based on current and past self-reported alcohol use: lifetime abstainers, former drinkers, very light (1–4 drinks in past 14 days), light (5–14 drinks), moderate (15–28 drinks), and at-risk drinkers (>28 drinks in past 14 days). Linear mixed-effects regressions modeled cognitive trajectories by alcohol group, with time-based models evaluating rate of decline as a function of baseline alcohol use, and age-based models evaluating age-related differences in performance by current alcohol use. Analyses used standardized cognitive domain factor scores and adjusted for sociodemographic and health-related factors. Results: Performance decreased over time in all domains. Relative to very light drinkers, former drinkers showed worse verbal fluency performance, by –0.21 SD (95% CI –0.35, –0.07), and at-risk drinkers showed faster working memory decline, by 0.14 SD (95% CI 0.02, –0.20) per decade. There was no evidence of protective associations of light/moderate drinking on rate of decline. In age-based models, light drinkers displayed better memory performance at advanced ages than very light drinkers (+0.14 SD ; 95% CI 0.02, 0.20 per 10-years older age); likely attributable to residual confounding or reverse association. Conclusions: Alcohol consumption showed minimal associations with cognitive aging among middle-aged men. Stronger associations of alcohol with cognitive aging may become apparent at older ages, when cognitive abilities decline more rapidly. [ABSTRACT FROM AUTHOR]

Based on periodogram‐ratios of two univariate time series at different frequency points, two tests are proposed for comparing their spectra. One is an Anderson–Darling‐like statistic for testing the equality of two time‐invariant spectra. The other is the maximum of Anderson–Darling‐like statistics for testing the equality of two time‐varying spectra. Both of two tests are applicable for independent or dependent time series. Several simulation examples show that the proposed statistics outperform those that are also based on periodogram‐ratios but constructed by the Pearson‐like statistics. [ABSTRACT FROM AUTHOR]

Objectives: Wisdom is a personality trait comprising seven components: self-reflection, pro-social behaviors, emotional regulation, acceptance of diverse perspectives, decisiveness, social advising, and spirituality. Wisdom, a potentially modifiable trait, is strongly associated with well-being. We have published a validated 28-item San Diego Wisdom Scale, the SD-WISE-28. Brief scales are necessary for use in large population-based studies and in clinical practice. The present study aimed to create an abbreviated 7-item version of the SD-WISE. Method: Participants included 2093 people, aged 20-82 years, recruited and surveyed through the online crowdsourcing platform Amazon Mechanical Turk. The participants' mean age was 46 years, with 55% women. Participants completed the SD-WISE-28 as well as validation scales for various positive and negative constructs. Psychometric analyses (factor analysis and item response theory) were used to select one item from each of the seven SD-WISE-28 subscales. Results: We selected a combination of items that produced acceptable unidimensional model fit and good reliability (ω = 0.74). Item statistics suggested that all seven items were strong indicators of wisdom, although the association was weakest for spirituality. Analyses indicated that the 28-item and 7-item SD-WISE are both very highly correlated (r = 0.92) and produce a nearly identical pattern of correlations with demographic and validity variables. Conclusion: The SD-WISE-7, and its derived Jeste-Thomas Wisdom Index (JTWI) score, balances reliability and brevity for research applications. [ABSTRACT FROM AUTHOR]

Objective: This study examined the associations of pretreatment and posttreatment depressive symptoms with drinking outcomes in the year following treatment in Project MATCH (Matching Alcoholism Treatments to Client Heterogeneity), a multisite clinical trial of behavioral treatments for alcohol-use disorders. Method: Data from 1,726 participants were modeled using generalized estimating equations to examine drinking frequency and intensity, as reflected by percentage days abstinent (PDA) and average drinks per drinking day (DDD). We predicted that patients who reported more pretreatment and posttreatment depressive symptoms would report greater drinking frequency (PDA) and more intense drinking (DDD) across the 12-month follow-up period. Results: Pretreatment Beck Depression Inventory (BDI) scores predicted more frequent and intense drinking in the year following treatment, although not after accounting for posttreatment BDI scores, which were associated with the drinking outcomes as hypothesized. Patients who reported more depressive symptoms in the year following treatment reported less abstinence (PDA) and more intense drinking (DDD) than patients with fewer posttreatment depressive symptoms. Conclusions: Our findings underscore the importance of obtaining repeated assessments of depression during the course of substance use treatment. Moreover, the data suggest the potential utility of augmenting standard chemical dependency care with depression-focused interventions for alcohol-dependent patients whose depressive symptoms do not subside during treatment. (J. Stud Alcohol Drugs, 71, 71-77, 2010), INDEPENDENTLY, ALCOHOL DEPENDENCE and major depressive disorder constitute major public health problems in the United States (National Institute on Alcohol Abuse and Alcoholism, 2000). However, alcohol dependence and major depression [...]

We report preliminary findings of the first-ever study testing a 16-week course of interpersonal psychotherapy OFF) modified for older outpatients at elevated risk for suicide. Participants were referred from inpatient and outpatient medicine and mental health services. Psychotherapy sessions took place in a therapist's office in a teaching hospital. Twelve adults 60 years or older (M = 70.5, SD = 6.1) with current thoughts of suicide (suicide ideation), a wish to die (death ideation), or with recent self-injurious behavior were recruited into weekly sessions of IPT; 1 participant was subsequently excluded due to severe cognitive impairment. Participants completed measures of suicide ideation, death ideation, and depressive symptom severity at pretreatment, midtreatment, posttreatment, and at 3-month follow-up periods, and measures of therapeutic process variables. Preliminary findings of this uncontrolled pretreatment/posttreatment study support the feasibility of recruiting and retaining older adults at risk for suicide into psychotherapy research and suggest that adapted IPT is tolerable and safe. Findings indicate a substantial reduction in participant suicide ideation, death ideation, and depressive symptoms; controlled trials are needed to further evaluate these findings. We discuss implications for clinical care with at-risk older adults. Keywords: elderly, geriatric, interpersonal psychotherapy, interventions, IPT, older adults, psychotherapy, suicidal behavior, suicide, suicide ideation, treatment