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Measuring Coping Strategies in Daily Life: A Systematic Review of Experience Sampling Methodology and Daily Diary Studies.

Advances in daily diary methods and experience sampling method (ESM) have improved the study of coping strategies in daily life and their role in shaping health and well-being. In this review, we examine study designs, measurement approaches, and analytical practices used to investigate coping in natural contexts. We performed a systematic review of studies published before 5 December 2025 that used daily diary or ESM to measure coping strategies over multiple days or moments. Studies were examined with regard to sampling schemes, assessment frequency and duration, measurement of coping strategies, incorporation of stressor appraisals, and analytic techniques used to model coping processes. Fifty-five studies met the inclusion criteria. Results indicated that 80% employed end-of-day diary designs, generally lasting 1-3 weeks, whereas higher-frequency ESM protocols were less common and ranged 2-14 days. Coping strategies were often assessed using abbreviated or single-item measures, frequently adapted from established questionnaires. Many studies incorporated appraisals such as perceived stressor intensity or controllability, enabling tests of coping flexibility. Multilevel modelling was the dominant analytic approach, allowing researchers to distinguish within-person dynamics from between-person differences. However, analyses were predominantly concurrent, and temporally ordered models remained comparatively rare. Overall, the literature demonstrates substantial progress in capturing coping in everyday contexts, yet heterogeneity in measurement and limited use of temporal modelling constrain cumulative knowledge about the temporal links between coping and psychological and physiological health outcomes. Future research would benefit from greater alignment between theoretical assumptions, assessment strategies, and analytic methods.

Humans

Genetic Differences in Reactivity to the Environment Impact Psychotic-Like and Affective Reactivity in Daily Life.

BACKGROUND AND HYPOTHESIS: Consistent with diathesis-stress models, psychosis research has focused on genetic moderation of adverse environmental exposures. In contrast, the Differential Susceptibility (DS) model suggests that the same genetic variants that increase risk-inducing effects of adverse experiences also enhance beneficial effects from positive experiences. This study examined whether individuals with high genetic susceptibility to the environment showed differential psychotic-like and affective reactivity in response to positive and negative events in daily life. STUDY DESIGN: Experience sampling methodology assessed context (positive and stressful) and momentary levels of paranoia, psychotic-like experiences (PLE), and positive (PA) and negative affect (NA) in 217 non-clinical adults oversampled for schizotypy. Linear mixed models examined whether Polygenic Risk Scores of Environmental Sensitivity (PRS-ES) moderated the impact of current context on subsequent experiences. STUDY RESULTS: PRS-ES moderated positive, but not stressful, context on subsequent levels of momentary paranoia, NA, and PA, but not PLE. Genetic and environmental (G × E) interactions indicated diathesis-stress at lower thresholds of PRS-ES, but a DS model at the highest threshold of the PRS-ES. Participants with elevated PRS-ES showed increased paranoia and NA and decreased PA in subsequent assessments when reporting low levels of positive situations, but also decreased paranoia and NA and increased PA when rating contexts as positive. CONCLUSIONS: Findings support the influence of genetic sensitivity to the environment on psychotic-like and affective reactivity in daily life, particularly in response to positive contexts. This highlights the transdiagnostic protective role of positive experiences and informs ecological momentary interventions.

Humans

Potential contribution of the microbiota-gut-brain axis to doxorubicin-associated cognitive impairment: Mechanisms, evidence, and therapeutic opportunities.

Chemotherapy-induced cognitive impairment (CICI), often termed chemobrain, is a clinically important complication of cancer treatment that can affect memory, attention, executive function, and processing speed during and after therapy. Doxorubicin is of particular mechanistic interest because brain parenchymal exposure is limited, yet preclinical studies consistently identify neuroinflammatory, oxidative, vascular, and synaptic abnormalities after treatment. This critical narrative review evaluates whether intestinal injury and disruption of the microbiota-gut-brain axis may contribute to these central effects. Preclinical evidence indicates that doxorubicin can alter microbial community structure, injure the intestinal barrier, modify SCFA-associated taxa or predicted functions, alter selected metabolite profiles, and promote systemic inflammatory and metabolic signaling. These peripheral changes could interact with brain endothelial cells, glia, mitochondria, hippocampal neurogenesis, and synaptic-plasticity pathways. However, the proposed doxorubicin-gut-brain pathway remains a predominantly preclinical and incompletely tested framework. No longitudinal human study has yet established, within the same patients, the temporal sequence linking doxorubicin exposure, microbiome or metabolome changes, systemic inflammation, and objective cognitive outcomes. Existing animal studies also vary in dose, regimen, tumor context, sampling time, microbiome methodology, and control of behavioral or microbiological confounders, while causal rescue experiments remain limited. Key priorities are therefore longitudinal human cohorts with pretreatment baselines and repeated multi-omics and cognitive assessments; animal studies that test temporal precedence and causal rescue or pathway blockade in the same model; mediation analyses that determine whether microbial or metabolic changes lie between treatment and cognitive dysfunction; and mechanism-informed clinical trials that demonstrate target engagement, cognitive benefit, oncology safety, and preservation of antitumor efficacy. Microbiome-directed interventions are promising but remain investigational for doxorubicin-associated CICI.

blood–brain barrier

Towards time-resolved MicroED grid preparation using mix-and-inject gas dynamic virtual nozzles.

Recent progress in gas dynamic virtual nozzle (GDVN) technologies in combination with high-brilliance synchrotron and X-ray free-electron lasers (XFELs) has allowed the visualization of protein dynamics in crystallo by mixing macromolecular protein crystals with a substrate using tunable mixing times on the order of milliseconds to seconds prior to serial X-ray diffraction data collection. This has become the method of choice for high-resolution structure determination of intermediate states. However, such experiments require large counts of crystals of proper sizes for high-resolution data collection, and premium beam times for screening efforts. Cryogenic microcrystal electron diffraction (MicroED) represents a complementary technique that may be a more accessible avenue for time-resolved nanocrystallography compared with serial X-ray diffraction experiments. MicroED can produce full diffraction datasets from just a few submicrometre-thick crystals, and the approach is more readily accessible, requiring standard cryogenic transmission electron microscopy (TEM) equipment available at many universities and institutes. Cryogenic MicroED, like other forms of cryo-EM, begins with rapidly freezing biological material on electron microscopy grids. In the case of MicroED, micro- to nano-crystals (<500&#x2005;nm thick) are deposited onto electron microscopy grids and plunge-frozen for subsequent electron diffraction data collection. Here, we have incorporated GDVN technology developed originally for XFEL experiments into the freezing process as a first step towards time-resolved studies. We describe the limited deposition efficiency of the model MicroED protein proteinase K on TEM grids using GDVNs, preceding sample vitrification and successful MicroED data collection. We discuss both the initial results from such experiments and the methodological challenges in developing this approach into a reliable workflow for millisecond-to-second time-resolved structural studies of macromolecules. Our results promise a strategy to deposit crystals on grids using GDVNs and determine high-resolution structures by MicroED, constituting a first step towards development of time-resolved MicroED experiments.

MicroED

Associations between smart infusion pump-electronic health record interoperability and healthcare outcomes: A systematic review.

OBJECTIVE: This study synthesized available evidence on the associations between smart infusion pump-electronic health record (EHR) interoperability and healthcare outcomes. METHODS: A systematic review of PubMed, CINAHL, Embase, and Scopus databases identified 901 records, which were imported into Rayyan&#xae; for duplicate removal, independent screening by three reviewers, and resolution of discrepancies. Eligible studies were peer-reviewed, data-driven, and reported associations between smart infusion pump-EHR interoperability and healthcare outcomes. Studies focused solely on technical validation or interoperability prototypes were excluded. A backward citation search identified additional studies. Two reviewers independently extracted and cross-validated study characteristics using standardized templates. Methodological quality was assessed with the Joanna Briggs Institute Critical Appraisal Tools. RESULTS: Twenty records of 14 full-text studies and 6 conference proceedings were included. Most records reported positive associations between smart infusion pump-EHR interoperability and outcomes related to safety (e.g., medication administration errors, safety-reported events, pump alerts, and compliance with interoperability and drug library), operational efficiency (e.g., programming and documentation time and technical issues), financial performance (e.g., charges captured, and cost avoided), and user experience domains. Most studies used observational designs, reflecting real-world interoperability implementations, where controlling confounding factors is challenging. Limited reporting of baseline characteristics, pump type, and sample sizes limited comparability across studies. CONCLUSIONS: Smart infusion pump-EHR interoperability was associated with improvements in patient safety, efficiency, charge capture, and user experience, with variable findings across studies. Future research should use rigorous methodologies and standardized measures, examine relationships across outcome domains, assess limitations of pump-EHR interoperability, and evaluate underexplored outcomes, including team communication, cognitive workload, and AI-enabled pumps. IMPLICATIONS FOR CLINICAL PRACTICE: Interoperability should be viewed as a component of a broader sociotechnical system, in which technology, user, workflow, clinical content, and organizational practices collectively determine overall effectiveness.

Humans

Serum ionized calcium by electrodes: new technology and methodology.

We report experience measuring serum ionized calcium (Ca2+) with new solid-state, specific calcium ion dip electrodes in a commercially available system for automated electrode measurments which permits stable measurements on thirty samples with up to six different electrodes simultaneously. The system provides electrostatic shielding, temperature regulation at 37degreeC, and adjustment of serum pH with CO2 gas, thereby making practical the use of serum standards and routine measurements on sera. When the electrodes are used with the rest of the measuring system and with serum standards, the system provides serum Ca2+ measurements with high precision (C.V. of 0.7%) and the calcium electrodes maintain good slopes for 50 to 150 hours of cumulative wet immersion. Response to new calcium activity is rapid, and wide variations in serum Ca2+ are readily measured.

Autoanalysis

Surgical management and outcomes of total colonic aganglionosis in children: A systematic review and meta-analysis.

AIM: Total colonic aganglionosis (TCA) is a rare form of Hirschsprung disease, and there is no consensus regarding its optimal surgical management. This systematic review and meta-analysis aimed to evaluate different surgical approaches and outcomes in children with TCA. METHODS: A systematic search of PubMed/MEDLINE and Embase was performed for studies published between January 2000 and December 2025. The review followed PRISMA guidelines and was prospectively registered in PROSPERO (CRD420251078401). Eligible studies included patients aged &#x2264;18 years with TCA who underwent conventional pull-through procedures (CPT; Duhamel, Soave, Swenson, Rehbein, and Ikeda-Soper) or non-conventional techniques (NCPT; STATE procedure, J-pouch, right- or left-sided colonic patch pull-through, and ileocecal patch). A subgroup analysis comparing Duhamel and ileoanal pull-through procedures (IAPT) was also performed. Outcomes included fecal incontinence, Hirschsprung-associated enterocolitis (HAEC), requirement for additional interventions, postoperative intestinal obstruction, and mortality. Meta-analysis was performed using jamovi software, version 2.3.28, with p < 0.05 considered statistically significant. RESULTS: Seven studies including 134 patients compared CPT (n = 85) with NCPT (n = 49), and ten studies including 274 patients compared Duhamel (n = 143) with IAPT (n = 131). Across both comparisons, pooled odds ratios (ORs) showed no statistically significant differences in fecal incontinence, HAEC, requirement for additional interventions, postoperative intestinal obstruction (Duhamel vs IAPT only), or mortality. For CPT versus NCPT, the pooled ORs were 1.1 for fecal incontinence (95% CI, 0.44-2.73; p = 0.837), 1.1 for HAEC (95% CI, 0.49-2.71; p = 0.743), 4.3 for requirement for additional interventions (95% CI, 0.86-22.1; p = 0.074), and 3.4 for mortality (95% CI, 0.52-21.5; p = 0.198). For Duhamel versus IAPT, the pooled ORs were 1.4 for fecal incontinence (95% CI, 0.60-3.36; p = 0.423), 0.6 for HAEC (95% CI, 0.22-2.06; p = 0.503), 1.8 for requirement for additional interventions (95% CI, 0.62-5.50; p = 0.262), 1.1 for postoperative intestinal obstruction (95% CI, 0.21-6.01; p = 0.875), and 1.03 for mortality (95% CI, 0.25-4.20; p = 0.965). CONCLUSION: No statistically significant differences were identified between CPT and NCPT or between Duhamel and IAPT for the evaluated outcomes in children with TCA. However, the absence of statistically significant differences should not be interpreted as evidence of equivalence, particularly given the small sample sizes, wide confidence intervals, and clinical and methodological heterogeneity of the studies included. The choice of surgical approach should be individualized according to disease extent, patient-specific factors, institutional experience, and surgical expertise. TYPE OF STUDY: Meta-analysis. LEVEL OF EVIDENCE: III.

Humans

Toward large-scale mass spectrometry-based omics for clinical applications.

INTRODUCTION: As healthcare advances toward personalized medicine, mass spectrometry-based research is advancing our understanding of cellular biology and disease states, and translating these findings into clinical applications. This review highlights recent advances in methodology and technology that demonstrate the capabilities of mass spectrometry-based proteomics, lipidomics, and metabolomics in clinical practice. AREAS COVERED: The ability to directly analyze functional molecules with mass spectrometry uncovers crucial clinical information. Each data modality (proteins, lipids, and metabolites) provides essential insight into healthy and disease states. As technology advances, integrating data from different modalities unlocks new possibilities for clinical research. To gain the most from this multi-omic data, unsupervised integration methods can provide detailed insights into complex biological processes. As the field applies this knowledge, healthcare could experience significant leaps in the near future. This review examines recent advancements in mass spectrometry-based proteomics, lipidomics, and metabolomics, focusing on how improvements in sample preparation, automation, and multi-omics data integration are making large-scale clinical studies more accessible. EXPERT OPINION: Recent technical and methodological advancements in mass spectrometry analysis have propelled healthcare toward a tipping point, shifting from traditional RNA- and DNA-based research to downstream analysis of protein, lipid, and metabolite effectors.

Humans

Short term variation of human immunoglobulin levels with an estimation of the day to day physiological variability.

In this work serum Ig levels were determined daily for 14 days in 12 subjects, every two days for 14 days in 19 subjects, every week for 1 month in 11 subjects and fortnightly in 11 subjects for 6 months. The serum IgG, IgM and IgA levels were quantitated by the linear plate method. The day-to-day reproducibility of the technique was checked for a period of one months on seven different samples. The mean coefficient of variation in the reproducibility experiments was found to be 4.8% for IgG, 8.2% for IgM and 5.2% for IgA. Since the observed variation in all groups of subjects was found to be higher than the methodological variation, it appears that physiological variability occurs in the serum Ig levels of an individual. No difference was found between the physiological variances of IgG, IgM and IgA observed in the group with daily analysis and those with determinations every two days. The physiological variations increase when longer periods are considered between consecutive determinations, but the variability of IgG and IgA in the group with fortnightly determinations is less important than that observed in the group with weekly analyses. Some evidence is presented indicating a periodic fluctuation of serum IgG and IgA levels with an amplitude of nearly 20% and with a recurrence rate of two weeks.

Adolescent

Eating in the laboratory: behavioural aspects of the positive energy balance.

A survey is made of a number of experiments conducted in our laboratory over the last six years. Our working hypothesis assumes that positive energy balance, which should not be prematurely defined as the cause of obesity, is itself caused by disturbances in appetite and satiation control which, given certain environmental conditions, can favour the occurrence of obesity. Three points are considered: (1) The hyperphagic reaction as a response to stress. The experimental findings suggest that the hyperphagic reaction is not primarily a biologically determined phenomenon but rather a learned response. The hyperphagic reaction is found more frequently in female and overweight persons. Most children react to stress with a decrease in food consumption. (2) Disturbances of satiation control. The food intake of obese Ss has a linear time function, whilst children and normal weight adults reveal a biological, negatively accelerated satiation curve. (3) Increased responsiveness to external cues. The concept of externality is extended to include the aspect of an internal-external stimulus discrepancy. The findings show that not only manifest obese Ss but also latent obese Ss are characterized by an increased responsiveness to external cues. In three different experiments with the same Ss it could be demonstrated that externality is to a greater or lesser extent independent of the experimental procedure. Finally, methodological aspects are discussed, because in studies on human appetite the possibility exists that experimental procedure, sample composition and laboratory conditions can exert a direct influence on the results.

Adult

Menu planning competencies in administrative dietetic practice. II. Practitioners' ratings of competence.

A nationwide sample of administrative and generalist dietitians rated five competencies with sub-competencies and ninety-two descriptors related to menu planning. Each item was rated numerically for importance and frequency of time consideration. Data were grouped according to three levels of practitioner experience. It was concluded that an effective methodology was developed for analyzing competencies for dietetic practice.

Administrative Personnel

The hormonal basis of breast cancer.

Both animal experiments and certain well-established breast cancer risk factors suggest that risk to the disease is fundamentally determined by the hormones of the pituitary-gonadal axis. Although international comparisons of urinary estrogens have given support to this ypothesis, case-control studies and international comparisons of plasma estrogens and prolactin have not. Methodological problems and sampling biases probably account for the inconsistency of these investigations. Taking advantage of the known familial increased risk to breast cancer, we conducted comparative studies of teenage daughters of patients with breast cancer, including a group of girls whose mothers had bilateral breast cancer when they were less than 50 years old. The results of these studies revealed that these high-risk girls appear to have elevated levels of estrogens, prolactin, and progesterone.

Adolescent

Methodological simplifications in radioimmunoassay of urinary aldosterone.

Simplification of radioimmunoassay procedures of urinary aldosterone-18-glucuronide was attempted, taking into consideration the aspects implied by the hydrolysis of urine and the assay itself. The procedure standardized for the hydrolysis step (samples diluted with a two-fold volume of 0.2 N HCl and incubated at 30 degrees C for 16-24 h) proved suitable in terms of practicability and accuracy. Aldosterone antisera, raised in the rabbit against an aldosterone-3-bovine albumin conjugate, were selected according to their specificity towards competing steroids. Depending on the characteristics of the antisera used, an assay of extracts, or even direct measurements of hydrolyzed urines excluding any extraction, were found to yield reliable results. In the case of a high-quality antiserum, evidence for the adequacy of assay on non-hydrolyzed urine extracts for the measurement of the excretion of unconjugated aldosterone was provided by some preliminary data. The results of the experiments, directed at the methodological and clinical validation of the simplified procedures, are reported and discussed in this paper.

Aldosterone

The clinical promise of mass spectrometry-based single-cell proteomics: from bedside to bench.

INTRODUCTION: Single-cell proteomics (SCP) is entering into a transformative phase, moving beyond technically demanding benchmarking studies toward robust and reproducible workflows capable of quantifying thousands of proteins per cell. These advances highlight SCP's potential to address clinically relevant questions by resolving cellular and pathological heterogeneity that remains obscured in bulk proteomics. AREAS COVERED: This review discusses current advances, challenges, and clinical applications of SCP based on literature identified through searches in major scientific databases. Many clinically relevant samples remain underexplored in SCP studies, in part because their application requires careful evaluation of pre-analytical variables that can strongly influence proteomic readouts. Current SCP methodologies vary according to sample type, experimental conditions, and available resources. Compared with single-cell RNA sequencing, SCP remains limited in cellular throughput, making it challenging to define optimal sample sizes and to reliably detect both abundant and rare cell populations. These limitations also make dataset integration difficult, as reduced cellular coverage and sampling depth increase data sparsity. Moreover, implementing quality control strategies across sequential SCP experiments is essential to ensure data robustness, comparability, and accurate biological interpretation. EXPERT OPINION: Applying SCP to clinical samples advances our understanding of biological complexity and holds potential to drive progress in translational and precision medicine.

Humans

Evaluating the impact of modeling choices on the performance of integrated genetic and clinical models.

PURPOSE: The value of genetic information for improving the performance of clinical risk prediction models has yielded variable conclusions. Many methodological decisions have the potential to contribute to differential results. We performed multiple modeling experiments integrating clinical and demographic data from electronic health records with genetic data to understand which decisions may affect performance. METHODS: Clinical data in the form of structured diagnostic codes, medications, procedural codes, and demographics were extracted from 2 large independent health systems, and polygenic risk scores (PRS) were generated across all patients of European ancestry with genetic data in the corresponding biobanks. Crohn's disease was studied based on its substantial genetic component, established electronic health records-based definition, and sufficient prevalence for training and testing. We investigated the impact of choices regarding the PRS integration method, training sample, model complexity, and performance metrics. RESULTS: Overall, our results showed that including PRS resulted in higher performance, but this gain was only robust in situations with limited clinical information. We found consistent performance increases from more compute-intensive models, such as random forest, but the impact of other decisions varied by site. CONCLUSION: This work highlights the importance of considering methodological decision points in interpreting the impact of PRS on prediction performance in clinical models.

Humans