Physiological Risk Factors Research Articles

White matter hyperintensity genetic risk factor TRIM47 regulates autophagy in brain endothelial cells.

White matter hyperintensity (WMH) is strongly correlated with age-related dementia and hypertension, but its pathogenesis remains obscure. Genome-wide association studies identified TRIM47 at the 17q25 locus as a top genetic risk factor for WMH formation. TRIM family is a class of E3 ubiquitin ligase with pivotal functions in autophagy, which is critical for brain endothelial cell (ECs) remodeling during hypertension. We hypothesize that TRIM47 regulates autophagy and its loss-of-function disturbs cerebrovasculature. Based on transcriptomics and immunohistochemistry, TRIM47 is found highly expressed by brain ECs in human and mouse, and its transcription is upregulated by artificially induced autophagy while downregulated in hypertension-like conditions. Using in silico simulation, immunocytochemistry and super-resolution microscopy, we predicted a highly conserved binding site between TRIM47 and the LIR (LC3-interacting region) motif of LC3B. Importantly, pharmacological autophagy induction increased Trim47 expression on mouse ECs (b.End3) culture, while silencing Trim47 significantly increased autophagy with ULK1 phosphorylation induction, transcription, and vacuole formation. Together, we demonstrate that TRIM47 is an endogenous inhibitor of autophagy in brain ECs, and such TRIM47-mediated regulation connects genetic and physiological risk factors for WMH formation but warrants further investigation.

Impact of Chronic Psychological Stress on Cardiovascular Disease Risk: A Narrative Review

Cardiovascular disease (CVD) remains a leading cause of death worldwide, and identification of its risk factors is pivotal in ensuring a lower socioeconomic burden on society. Psychological stress shows a strong causal link with CVD through the interaction of physiological and behavioral risk factors. Importantly, there is an association between the duration and level of stress and propensity for CVD. Chronic stress exerts its physiological effects through the release of glucocorticoids (GCs) such as cortisol, which subsequently promote proinflammatory effects, exacerbating atherosclerotic plaque development. Stress also exacerbates the secretion of cardiokines such as tumor necrosis factor-alpha (TNF-α). Elevated TNF-α is associated with endothelial dysfunction and angiogenesis-mediated atherosclerotic plaque progression, with increased secretion as the duration of stress is extended. Stress-induced GC secretion also inhibits glucose uptake leading to hyperglycemia and consequent hyperinsulinemia. This increases an individual’s susceptibility to another CVD risk factor, type 2 diabetes mellitus (T2DM). These risk factors are further exacerbated by the impact of chronic stress on behavior such as eating habits. Increased consumption of comfort foods, typically containing high fat and sugar contents, is directly associated with increased body mass index and increased low-density lipoprotein (LDL) cholesterol, both of which are well-known drivers of atherosclerosis. Moreover, chronic stress often results in reductions in physical activity, particularly in individuals at low baseline levels of activity. This further increases an individual’s susceptibility to obesity, T2DM, and increased LDL-cholesterol levels, all of which promote the development of CVD. This review outlines key research findings relating to the role chronic psychological stress plays in altering physiological and behavioral risk factors for CVD.

Physiological presentation and risk factors of long COVID in the UK using smartphones and wearable devices: a longitudinal, citizen science, case–control study

The emergence of long COVID as a COVID-19 sequela was largely syndromic in characterisation. Digital health technologies such as wearable devices open the possibility to study this condition with passive, objective data in addition to self-reported symptoms. We aimed to quantify the prevalence and severity of symptoms across collected mobile health metrics over 12 weeks following COVID-19 diagnosis and to identify risk factors for the development of post-COVID-19 condition (also known as long COVID). The Covid Collab study was a longitudinal, self-enrolled, community, case-control study. We recruited participants from the UK through a smartphone app, media publications, and promotion within the Fitbit app between Aug 28, 2020, and May 31, 2021. Adults (aged ≥18 years) who reported a COVID-19 diagnosis with a positive antigen or PCR test before Feb 1, 2022, were eligible for inclusion. We compared a cohort of 1200 patients who tested positive for COVID-19 with a cohort of 3600 sex-matched and age-matched controls without a COVID-19 diagnosis. Participants could provide information on COVID-19 symptoms and mental health through self-reported questionnaires (active data) and commercial wearable fitness devices (passive data). Data were compared between cohorts at three periods following diagnosis: acute COVID-19 (0-4 weeks), ongoing COVID-19 (4-12 weeks), and post-COVID-19 (12-16 weeks). We assessed sociodemographic and mobile health risk factors for the development of long COVID (defined as either a persistent change in a physiological signal or self-reported symptoms for ≥12 weeks after COVID-19 diagnosis). By Aug 1, 2022, 17 667 participants had enrolled into the study, of whom 1200 (6·8%) cases and 3600 (20·4%) controls were included in the analyses. Compared with baseline (65 beats per min), resting heart rate increased significantly during the acute (0·47 beats per min; odds ratio [OR] 1·06 [95% CI 1·03-1·09]; p<0·0001), ongoing (0·99 beats per min; 1·11 [1·08-1·14]; p<0·0001), and post-COVID-19 (0·52 beats per min; 1·04 [1·02-1·07]; p=0·0017) phases. An increased level of historical activity in the period from 24 months to 6 months preceding COVID-19 diagnosis was protective against long COVID (coefficient -0·017 [95% CI -0·030 to -0·003]; p=0·015). Depressive symptoms were persistently elevated following COVID-19 (OR 1·03 [95% CI 1·01-1·06]; p=0·0033) and were a potential risk factor for developing long COVID (1·14 [1·07-1·22]; p<0·0001). Mobile health technologies and commercial wearable devices might prove to be a useful resource for tracking recovery from COVID-19 and the prevalence of its long-term sequelae, as well as representing an abundant source of historical data. Mental wellbeing can be impacted negatively for an extended period following COVID-19. National Institute for Health and Care Research (NIHR), NIHR Maudsley Biomedical Research Centre, UK Research and Innovation, and Medical Research Council.

Using Precision Medicine to Disentangle Genotype-Phenotype Relationships in Twins with Rett Syndrome: A Case Report.

Rett syndrome (RTT) is a paediatric neurodevelopmental disorder spanning four developmental stages. This multi-system disorder offers a unique window to explore genotype-phenotype relationships in a disease model. However, genetic prognosticators of RTT have limited clinical value due to the disorder's heterogeneity on multiple levels. This case report used a precision medicine approach to better understand the clinical phenotype of RTT twins with an identical pathogenic MECP2 mutation and discordant neurodevelopmental profiles. Targeted genotyping, objective physiological monitoring of heart rate variability (HRV) parameters, and clinical severity were assessed in a RTT twin pair (5 years 7 months old) with an identical pathogenic MECP2 mutation. Longitudinal assessment of autonomic HRV parameters was conducted using the Empatica E4 wristband device, and clinical severity was assessed using the RTT-anchored Clinical Global Impression Scale (RTT-CGI) and the Multi-System Profile of Symptoms Scale (MPSS). Genotype data revealed impaired BDNF function for twin A when compared to twin B. Twin A also had poorer autonomic health than twin B, as indicated by lower autonomic metrics (autonomic inflexibility). Hospitalisation, RTT-CGI-S, and MPSS subscale scores were used as measures of clinical severity, and these were worse in twin A. Treatment using buspirone shifted twin A from an inflexible to a flexible autonomic profile. This was mirrored in the MPSS scores, which showed a reduction in autonomic and cardiac symptoms following buspirone treatment. Our findings showed that a combination of a co-occurring rs6265 BDNF polymorphism, and worse autonomic and clinical profiles led to a poorer prognosis for twin A compared to twin B. Buspirone was able to shift a rigid autonomic profile to a more flexible one for twin A and thereby prevent cardiac and autonomic symptoms from worsening. The clinical profile for twin A represents a departure from the disorder trajectory typically observed in RTT and underscores the importance of wider genotype profiling and longitudinal objective physiological monitoring alongside measures of clinical symptoms and severity when assessing genotype-phenotype relationships in RTT patients with identical pathogenic mutations. A precision medicine approach that assesses genetic and physiological risk factors can be extended to other neurodevelopmental disorders to monitor risk when genotype-phenotype relationships are not so obvious.

Clinical and physiological risk factors contributing to the restricted mobility in older adults: a longitudinal analysis

BackgroundMobility limitations (e.g., using wheelchair) have been closely linked to diminished functional independence and quality of life in older adults. The regulation of mobility is pertaining to multiple neurophysiologic and sociodemographic factors. We here aimed to characterize the relationships of these factors to the risk of restricted mobility in older adults.MethodsIn this longitudinal study, 668 older adults with intact mobility at baseline completed the baseline assessments of clinical characteristics, cognitive function, sleep quality, activities of daily living (ADL), walking performance, beat-to-beat blood pressure, and structural MRI of the brain. Then 506 of them (mean age = 70.7 ± 7.5 years) responded to the follow-up interview on the mobility limitation (as defined by if using wheelchair, cane, or walkers, or being disabled and lying on the bed) after 18 ± 3.5 months. Logistic regression analyses were performed to examine the relationships between the baseline characteristics and the follow-up mobility restriction.ResultsAt baseline, compared to intact-mobility group (n = 475), restricted-mobility group (n = 31) were older, with lower score of ADL and the Montreal Cognitive Assessment (MoCA), greater score of Pittsburgh Sleep Quality Index (PSQI), poorer cardio- and cerebral vascular function, and slower walking speeds (ps < 0.05). The logistic regression analysis demonstrated that participants who were with history of falls, uncontrolled-hypertension, and/or greater Fazekas scale (odds ratios (ORs):1.3 ~ 13.9, 95% confidence intervals (CIs) = 1.1 ~ 328.2), walked slower, and/or with lower ADL score (ORs: 0.0026 ~ 0.9; 95%CI: 0.0001 ~ 0.99) at baseline, would have significantly greater risk of restricted mobility (p < 0.05; VIFs = 1.2 ~ 1.9).ConclusionsThese findings provide novel profile of potential risk factors, including vascular characteristics, psycho-cognitive and motor performance, for the development of restricted mobility in near future in older adults, ultimately helping the design of appropriate clinical and rehabilitative programs for mobility in this population.

Extended thromboprophylaxis in heart failure patients; the unmet need.

Heart failure (HF) is considered one of a leading cause of cardiovascular morbidity and mortality worldwide. The association between HF and venous thromboembolism (VTE) has been reported in several studies owing to many physiological and thromboembolic risk factors. Thus, the need for extended thromboprophylaxis during the post-discharge period in HF patients has been evaluated. Most guidelines do not recommend extended thromboprophylaxis because of its uncertain benefits and increased risk of bleeding. However, recent evidence in HF patients revealed no increased risk of bleeding with extended thromboprophylaxis, which highlights the importance of identifying ideal candidates who might benefit from extended thromboprophylaxis. Several risk assessment models (RAMs) have been developed to identify patients at a high risk of VTE who would benefit from in-hospital and post-discharge prophylactic anticoagulation therapy based on the risk-benefit principle. However, their accuracy in predicting VTE is questionable, and none have a standardized approach for evaluating the risk of VTE in HF patients. In this review, we provided an overview of the incidence and pathophysiology of VTE in HF patients, a summary of guideline recommendations for VTE prevention, and a summary of studies evaluating the use of extended thromboprophylaxis, with a focus on subgroup or post-hoc analyses of HF patients. We also discussed the need to design an ideal RAM that can identify candidate patients for extended thromboprophylaxis by stratifying the risk of VTE and identifying the key risk factors for bleeding in medically ill patients, including those with HF.

Random survival forest for predicting the combined effects of multiple physiological risk factors on all-cause mortality

Understanding the combined effects of risk factors on all-cause mortality is crucial for implementing effective risk stratification and designing targeted interventions, but such combined effects are understudied. We aim to use survival-tree based machine learning models as more flexible nonparametric techniques to examine the combined effects of multiple physiological risk factors on mortality. More specifically, we (1) study the combined effects between multiple physiological factors and all-cause mortality, (2) identify the five most influential factors and visualize their combined influence on all-cause mortality, and (3) compare the mortality cut-offs with the current clinical thresholds. Data from the 1999–2014 NHANES Survey were linked to National Death Index data with follow-up through 2015 for 17,790 adults. We observed that the five most influential factors affecting mortality are the tobacco smoking biomarker cotinine, glomerular filtration rate (GFR), plasma glucose, sex, and white blood cell count. Specifically, high mortality risk is associated with being male, active smoking, low GFR, elevated plasma glucose levels, and high white blood cell count. The identified mortality-based cutoffs for these factors are mostly consistent with relevant studies and current clinical thresholds. This approach enabled us to identify important cutoffs and provide enhanced risk prediction as an important basis to inform clinical practice and develop new strategies for precision medicine.

Identifying behaviour-related and physiological risk factors for suicide attempts in the UK Biobank.

Suicide is a global public health challenge, yet considerable uncertainty remains regarding the associations of both behaviour-related and physiological factors with suicide attempts (SA). Here we first estimated polygenic risk scores (PRS) for SA in 334,706 UK Biobank participants and conducted phenome-wide association analyses considering 2,291 factors. We identified 246 (63.07%) behaviour-related and 200 (10.41%, encompassing neuroimaging, blood and metabolic biomarkers, and proteins) physiological factors significantly associated with SA-PRS, with robust associations observed in lifestyle factors and mental health. Further case-control analyses involving 3,558 SA cases and 149,976 controls mirrored behaviour-related associations observed with SA-PRS. Moreover, Mendelian randomization analyses supported a potential causal effect of liability to 58 factors on SA, such as age at first intercourse, neuroticism, smoking, overall health rating and depression. Notably, machine-learning classification models based on behaviour-related factors exhibited high discriminative accuracy in distinguishing those with and without SA (area under the receiver operating characteristic curve 0.909 ± 0.006). This study provides comprehensive insights into diverse risk factors for SA, shedding light on potential avenues for targeted prevention and intervention strategies.

"Too much of a burden": Lived experiences of depressive rumination in early adulthood.

Rumination is an established transdiagnostic factor in mental illness, but there remains a significant gap in understanding the subjective experiences of those affected by it. This study explored the lived experiences of depressive rumination in early adulthood, a population notably susceptible to its effects. We interviewed 20 participants aged between 18 and 35 years using a semistructured approach and generated five distinct but interconnected themes using reflective thematic analysis. The first theme delved into recurrent narratives of past traumas and unresolved pain, with participants unable to move on from their past. The second theme illustrated how participants, due to real or perceived pressure, often equated their self-worth with their ability to meet expectations, leading to a distorted self-view and diminished self-esteem. The third theme captured the relentless pursuit of mental peace, with tranquility remaining ever elusive despite the frequent use of distraction. The fourth theme highlighted the profound isolation stemming from internalized mental health stigma, with participants grappling with fears of being perceived as burdensome and facing rejection from their close ones. Finally, the fifth theme underscored the far-reaching and interconnected repercussions of rumination on mental, emotional, and physical health and individuals' ability to achieve their life goals. These findings emphasize the intertwined nature of psychological, physiological, and social risk factors for the development and maintenance of rumination, advocating for a holistic treatment approach to rumination and paving the way for more timely, tailored care. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Physio-Psychosocial Risks of Depression among College-Going Adolescents in Bangladesh: A Data Note

Background The prevalence of depression among adolescents is an increasing global problem, including in Bangladesh as well. This cross-sectional data was collected to examine the physiological and psychological risk factors for depression among college-going adolescents in Bangladesh. Methodology Simple random sampling was employed as a sampling technique during the study period from May 2022 to August 2022. In the survey, a total of 1919 college-going adolescents were included through a Google-based questionnaire platform. The survey included socio-demographic characteristics and Patient Health Questionnaire (PHQ-9) questions. Before starting the survey, the questionnaire was translated and pre-tested in Bengali. To assess the dataset's feasibility and effectiveness, the pre-testing was done with a total of 43 adolescents. The questionnaire was revised several times before the final study to ensure it satisfied all standards. Conclusion This dataset may be valuable for researchers investigating the relationship between academic performance, psychological well-being, and other socio-demographic characteristics. To get a deeper understanding of the broader framework, policymakers may find it advantageous to enact policies that are specifically tailored to meet the needs and preferences of adolescents

Cardiovascular and physiological risk factors in women at mid-life and beyond.

Cardiovascular disease (CVD) is the leading cause of death in women. After menopause, sex-specific and gender-specific factors may play an important role in increasing CVD risk, with changes in sex hormones, body fat distribution, lipid and metabolic profile, and structural and functional vascular modifications. Premature and early-onset menopause are detrimental to cardiovascular health due to the early cessation of the protective effect of endogenous estrogen. An independent association of menopause with an increased risk of CVD has been documented in early menopause (<45 years). Sex-related differences are relevant in pharmacokinetics and pharmacodynamics; different enzyme formations, drug compatibility, efficacy, and side effects vary for different sexes. Despite some progress in sex and gender research in CVD, disparities remain. Menopausal hormone therapy (MHT) is available at mid-life for symptoms of menopause and may impact cardiovascular risk. Taken early, MHT may reduce CVD morbimortality. However, this is balanced against the risk of increased thrombosis. This paper reviews physiologic changes that contribute to cardiovascular risk in postmenopausal women and discusses clinical implications. Specifically, it explores the atheroprotective effects of estrogen and MHT and the associations between menopause with lipid levels, hypertension, body composition, and diabetes for women at mid-life and beyond.

Clinical Profile and Risk Factors of Cerebral Venous Sinus Thrombosis

Background: Cerebral venous sinus thrombosis (CVST) is a rare but serious neurovascular disorder that can lead to life-threatening complications such as hemorrhage and cerebral edema. This condition presents with a wide array of symptoms due to the formation of blood clots in the cerebral venous sinuses, impairing the drainage of deoxygenated blood and cerebrospinal fluid from the brain. Objective: The aim of this study was to elucidate the clinical profile and risk factors associated with CVST, enhancing the understanding of its epidemiology and facilitating better diagnostic and therapeutic strategies. Methods: This prospective cross-sectional study was conducted at the Department of Neurology, Jinnah Postgraduate Medical Centre, Karachi, Pakistan. A total of 135 participants diagnosed with CVST were enrolled through non-probability consecutive sampling. Participants underwent comprehensive physical and neurological examinations using a structured Clinical Patient Assessment Form. Diagnostic imaging included MRI, MRV, CT, and CT venography, although the principal diagnostic tools were CT and MRV. Data collection focused on demographics, clinical manifestations, and risk factors, with all information analyzed using SPSS version 25. Results: The study population predominantly consisted of females (74.8%) with the age group of 31-40 years being the most common (31.1%). Headache was the most frequently reported symptom (90.4%), followed by hemiparesis (53.3%) and seizures (40%). Significant risk factors included postpartum status (50.4%), iron deficiency anemia (25.9%), and genetic prothrombotic conditions (9.6%). Imaging studies revealed that the transverse sinus was the most affected site (74.1%). Conclusion: CVST exhibits a diverse range of clinical presentations and is associated with multiple demographic and physiological risk factors. Early diagnosis and management are crucial to prevent severe outcomes. This study highlights the importance of considering a detailed clinical and risk factor profile in patients presenting with neurological symptoms to aid in timely and accurate diagnosis of CVST.

Effectiveness of behavior change and self-management theoretically-informed telehealth interventions for stroke secondary prevention: An overview of systematic reviews

Introduction Despite the increased use of telehealth interventions, low-level evidence supports their use for behavior change and self-management in stroke secondary prevention. Therefore, this overview of systematic reviews (SRs) critically appraises and consolidates the evidence about theoretically-informed telehealth interventions in stroke secondary prevention. Methods Two phases were conducted independently by two reviewers. Phase-1 included SRs contemplating randomized controlled trials (RCTs) implementing telehealth interventions with individuals post-stroke, targeting cardiovascular events, risk-reducing health behaviors or physiological risk factors. Phase-2 interrogated RCTs from these SRs that implemented theoretically-informed interventions. Best-evidence synthesis of published meta-analyses and new meta-analyses of theoretically-informed interventions were conducted. GRADE evidence was applied. Results In Phase-1 (15 SRs), best-evidence synthesis identified telehealth interventions as effective in reducing recurrent angina and recurrent stroke rates (both with very low GRADE), improving medication adherence (low GRADE), physical activity participation (very low GRADE), and blood pressure targets (very low GRADE), reducing systolic blood pressure (SBP) (moderate GRADE) and low-density lipoprotein levels (very low GRADE). In Phase-2 (14 RCTs), new meta-analyses identified theoretically-informed telehealth interventions as effective in improving medication adherence (SMD: 0.38; 95%CI: 0.13–0.64; I²: 72%, low GRADE) and healthy eating (SMD: 0.38; 95%CI: 0.15–0.60; I²: 38%, low GRADE), and decreasing SBP (MD: −9.19; 95%CI: −5.49 to −12.89; I²: 0%, moderate GRADE). Discussion Telehealth demonstrates utility in stroke secondary prevention, notably in SBP reduction. High-quality RCTs are required given the lack of current evidence supporting theoretically-informed telehealth interventions addressing primary outcomes of secondary prevention, and the low certainty evidence identified for health behavior change.

Post-Toilet Wiping Style Is Associated With the Risk of Urinary Tract Infection in Women.

Urinary tract infection (UTI) has a lifetime incidence of ≥50% in women. A wide variety of clinical, physiological, and lifestyle risk factors for UTI have been identified, but the exact relationship between post-toilet anal and perineal hygiene practices, especially the wiping direction with toilet paper, and UTI risks has not been investigated yet. Therefore, this study cross-sectionally investigated the post-toilet wiping habit and lifetime UTI events in the general population. Individuals who visited two hospitals in Japan between April 2020 and March 2023 were initially recruited. Self-reported questionnaires regarding post-toilet wiping habits and past UTI events were collected, and their relationship was investigated in males and females. Subgroup analyses by age were further performed to estimate the impact of age on the relationship. A total of 294 individuals (141 males and 153 females) agreed to participate and answered the question of post-toilet wiping direction. The number of individuals with post-toilet wiping with the arm from the front between the legs was 32 (23%) in males and 68 (44%) in females. The lifetime UTI events were more frequent in females than in males (p<0.0001). The impact of post-toilet wiping with the arm from the front between the legs on UTI events, adjusting for the age and history of diabetes mellitus, was not statistically significant both in males and females (p≥0.10 for both). Meanwhile, when the relationship was evaluated by different age groups, wiping habits from the frontand UTI were significantly associated with each other in middle-aged women aged 40-59, whereas they were not in younger and older age groups. Approximately 40-50% of women performed post-toilet wiping with the arm from the front between the legs. This post-toilet wiping habit was suggested to be a potential risk of UTI in women, especially in middle-aged subgroups, and may be better to be changed to wiping from behind.

Cardiovascular Risk Factors Among First-Degree Relatives of Patients with Premature Cardiovascular Disease in Malta. Baseline Findings from the CRISO Project.

A family history of premature atherosclerotic cardiovascular disease (ASCVD) confers a greater risk of developing ASCVD. However, the prevalence of ASCVD risk factors among asymptomatic Maltese adults with parental or fraternal history of premature ASCVD is unknown. The study aimed to evaluate and compare their risk with the general population. Posters to market the project were distributed in cardiac rehabilitation areas. Patients with premature cardiovascular disease facilitated recruitment by informing their relatives about the project. Medical doctors and cardiac rehabilitation nurses referred first-degree relatives. Posters were put up in community pharmacies, and an explanatory video clip was shared on social media for interested individuals to contact researchers. Those eligible were enrolled in a preventive cardiology lifestyle intervention. Their data were compared with the risk in the general population. Many first-degree relatives had a suboptimal risk profile, with 60% (N = 89) having a total cholesterol level of >5.0 mmol/L; 54% having a low-density lipoprotein-cholesterol level of >3 mmol/L; 70.5% being overweight/obese, with 62% having a waist circumference greater than the recommended values; 34.8% having hypertension; 56.2% being inadequately adherent to the Mediterranean diet; 62% being underactive, with 18% being sedentary; and 25.8% being smokers. First-degree relatives had significantly higher proportions of underactive lifestyle (p = 0.00016), high body mass index (>25kg/m2) (p = 0.006), and systolic blood pressure (p = 0.001) than the general population, with 30% having metabolic syndrome. This study determined the prevalence of lifestyle, biochemical, physiological, and anthropometric cardiovascular risk factors among asymptomatic first-degree relatives of Maltese patients with premature ASCVD. First-degree relatives had considerable prevalences of an underactive lifestyle, hypertension, and obesity, suggesting better screening and early risk factor intervention are needed to modify their risk of ASCVD.

Consideration of health inequity in systematic reviews and primary studies on risk factors for hearing loss

AbstractBackgroundHealth inequities are systematic, avoidable, and unfair differences in health between populations or population subgroups. There is increased recognition of the need for systematic reviews (SRs) to address health inequities, including drawing out findings relevant to low‐ and middle‐income countries (LMICs). The aim of this study was to determine the extent to which SRs on risk factors for hearing loss reported findings associated with health inequities, and the extent to which this data was captured in the primary studies included within these SRs.MethodsWe identified SRs on risk factors for hearing loss from a report on this topic which included a systematic search for relevant SRs. SRs thus identified were inspected for data related to health inequity with reference to PROGRESS‐Plus. We compared how data were reported in SRs versus within primary studies included in the SRs, and the extent to which primary studies from LMICs were represented.ResultsWe included 17 SRs which reported findings on a variety of physiological, behavioral, demographic, and environmental risk factors for hearing loss. There were 296 unique primary studies included in the SRs, of which 251 (81.49%) were successfully retrieved. Data relating to health inequities was reported relatively infrequently in the SRs and mainly focused on gender and age. Data related to health inequities was more frequently reported in primary studies. However, several PROGRESS‐Plus criteria were only reported in a minority of primary studies. Approximately one‐third of primary studies were from LMICs.ConclusionsThere is scope to improve the reporting of data relating to health inequities in primary studies on risk factors for hearing loss. However, SR authors could do more to report health inequities than is currently undertaken, including drawing out findings relevant to LMICs where data are available.

Real-time risk assessment of multi-parameter induced fall accidents at construction sites

In this research, a risk assessment model was developed that concurrently considers the location and physiological risk factors for fall accidents in workers at construction sites. In terms of location risk, data on 1683 occupational fall accidents involving 1718 worker casualties in the construction industry were collected for the period 1996–2016 from the Institute of Labor, Occupational Safety and Health (ILOSH), Taiwan. Next, the locations of these fall accidents were identified and defined as hazardous areas, with each area assigned a fall-risk level based on the average number of occupational accidents per year. In terms of physiological risk, the thermal hazard evaluation model, Recommended Alert Limits/Recommended Exposure Limits (RALs/RELs), developed by the National Institute for Occupational Safety and Health (NIOSH), USA was used in this study. This model uses metabolic heat and wet bulb globe temperature (WBGT) to recommend hourly rest/work times for workers. Using WBGT and one hour as the basic unit of time, varying degrees of metabolic heat, defined as metabolic heat loading severity (MHLS), were obtained. An optical heart rate (HR) sensor was applied in this study to measure HR, which was subsequently converted to a metabolic heat value using the Malchaire J metabolic heat evaluation model. Next, metabolic heat loading risk level was evaluated based on the MHLS. Finally, the location-based fall-risk level was multiplied by the MHLS, generating a risk evaluation model for fall accidents. The evaluation results identify the real-time fall-risk level of each worker and, if needed, suggest actions to be taken to mitigate the elevated risks of fall accidents identified by the model.

Artificial Intelligence to Predict Quality-of-Life Outcomes for Vascular Intervention of the Leg.

Artificial intelligence (AI) tools created to enhance decision-making may have a significant impact on treatment algorithms for peripheral arterial disease (PAD). A Markov-based AI model was developed to predict optimal therapy based on maximization of calculated quality of life (cQoL), a patient-centered system of assessment designed to report outcomes directly linked to health-related quality of life. The AI model was prospectively interrogated immediately after individual interventions for PAD over a 12-year period to test predictive performance. Patient cQoL was determined at each patient follow-up visit. A total of 1,143 consecutive patients were evaluated, with a median follow-up of 18 months. Observed mean annualized cQoL was higher than predicted by the model (0.85 ± 0.38 vs 0.79 ± 0.18, p < 0.0001). Of 5 potential clinical outcomes, the AI model correctly predicted final status in 71.3% of patients, with insignificant model performance deterioration over time (-0.15% per month, r = -0.49, p = 0.063). The chance of having the condition predicted by the model was 0.57 ± 0.32, compared with a theoretical maximum of 0.70 ± 0.19 (p < 0.0001, mean ratio 0.79). The AI model performed better in patients with claudication than limb-threatening ischemia (75.5% vs 63.6%, p = 0.014) but equally well for open or endovascular intervention (69.8% vs 70.5%, p = 0.70). Graft or artery patency and amputation-free survival were better for patients with claudication and those treated with endovascular techniques. AI can successfully predict treatment for PAD that maximizes patient quality of life in most cases. Future application of AI incorporating better estimates of patient anatomic and physiological risk factors and refinement of model structure should further enhance performance.

Entorhinal-based path integration selectively predicts midlife risk of Alzheimer's disease.

Entorhinal cortex (EC) is the first cortical region to exhibit neurodegeneration in Alzheimer's disease (AD), associated with EC grid cell dysfunction. Given the role of grid cells in path integration (PI)-based spatial behaviors, we predicted that PI impairment would represent the first behavioral change in adults at risk of AD. We compared immersive virtual reality (VR) PI ability to other cognitive domains in 100 asymptomatic midlife adults stratified by hereditary and physiological AD risk factors. In some participants, behavioral data were compared to 7T magnetic resonance imaging (MRI) measures of brain structure and function. Midlife PI impairments predicted both hereditary and physiological AD risk, with no corresponding multi-risk impairment in episodic memory or other spatial behaviors. Impairments associated with altered functional MRI signal in the posterior-medial EC. Altered PI may represent the transition point from at-risk state to disease manifestation in AD, prior to impairment in other cognitive domains.

Network analysis of symptoms, physiological, psychological and environmental risk factors based on unpleasant symptom theory in patients with chronic heart failure.

Somatic symptoms and related factors in patients with chronic heart failure have been extensively researched. However, more insight into the complex interconnections among these constructs is needed, as most studies focus on them independently from each other. The aim of this study is to gain a comprehensive understanding of how somatic symptoms and related factors are interconnected among patients with chronic heart failure. A total of 379 patients were enrolled. Network analysis was used to explore the interconnections among the somatic symptoms and related risk factors. The four core symptoms of chronic heart failure were daytime dyspnea, dyspnea when lying down, fatigue and difficulty sleeping. Within the network, the edge weights of depression-anxiety, subjective social support-objective social support, and subjective social support-social support availability were more significant than others. Among physiological, psychological and environmental factors, the edge weights of NYHA-dyspnea, depression-difficulty sleeping, and social support availability-dyspnea when lying down were more significant than others. Depression and anxiety had the highest centrality, indicating stronger and closer connections with other nodes. Psychological and environmental factors stood out in the network, suggesting the potential value of interventions targeting these factors to improve overall health.