Individual Health Management Research Articles

Oral hygiene changes & compliance with telemonitoring device in individuals with intellectual/developmental disabilities: a randomized controlled crossover trial.

Advances in mobile technology are helping with health management practices, and smart toothbrushes provide proper dental care by collecting and analyzing users' toothbrushing data. The purpose of this study is to assess the effect of a telemonitoring device on oral hygiene management in individuals with intellectual or developmental disabilities and its role in promoting oral health. Participants were split into two groups: one initially using the telemonitoring device (telemonitoring device/manual toothbrush) and the other using it later (manual toothbrush/telemonitoring device), with a one-month washout period. The study compared plaque index, halitosis, changes in oral microbiota, and guardian questionnaire responses between the groups. In period 1, the QHI index score significantly decreased from 1.93 to 0.83 in the group using the remote monitoring device, compared to an increase from 1.75 to 2.01 in the manual toothbrush group. Additionally, toothbrushing frequency, time, and cooperation increased by 0.82 ± 0.60, 0.82 ± 1.16, and 1.09 ± 0.94, respectively, with initial telemonitoring device use. However, these measures decreased by -1.45 ± 0.68, -1.09 ± 0.70, and - 1.00 ± 1.00 after switching to a manual toothbrush, and decreased by -0.64 ± 0.67, -0.27 ± 1.19, and 0.09 ± 0.94 overall, respectively. However, there were no significant differences in oral microbiota between the groups at these different time points. The study shows that telemonitoring devices effectively reduce plaque index and improve toothbrushing frequency, time, and cooperation. However, these benefits decrease after switching to a manual toothbrush. Follow-up is needed to assess satisfaction and compliance with telemonitoring device use. Using telemonitoring devices in the oral health management of individuals with intellectual and developmental disabilities can improve their oral health quality.

Key parameters and major components in wearable electronics

The revolutionary influence of wearable electronics on health monitoring is highlighted in this research. It explores the critical dimensions and components of wearable electronics. It investigates how sensors may be integrated for noninvasive techniques like sweat analysis to analyze biochemical indicators like glucose and electrolyte levels and vital signs in real-time. The research emphasizes how crucial it is to consider user comfort, data security, device sensitivity, and stability while creating wearable health monitoring. It concludes with the promise of these devices to support large-scale health research and individualized health management. It also addresses the difficulties in sensor integration, data accuracy, and power management.

Risk prediction model of metabolic syndrome in perimenopausal women based on machine learning

IntroductionMetabolic syndrome (MetS) is considered to be an important parameter of cardio-metabolic health and contributing to the development of atherosclerosis, type 2 diabetes. The incidence of MetS significantly increases in postmenopausal women, therefore, the perimenopausal period is considered a critical phase for prevention. We aimed to use four machine learning methods to predict whether perimenopausal women will develop MetS within 2 years. MethodsWomen aged 45–55 years who underwent 2 consecutive years of physical examinations in Ninth Clinical College of Peking University between January 2021 and December 2022 were included. We extracted 26 features from physical examinations, and used backward selection method to select top 10 features with the largest area under the receiver operating characteristic curve (AUC). Extreme gradient boosting (XGBoost), Random forest (RF), Multilayer perceptron (MLP) and Logistic regression (LR) were used to establish the model. Those performance were measured by AUC, accuracy, precision, recall and F1 score. SHapley Additive exPlanation (SHAP) value was used to identify risk factors affecting perimenopausal MetS. ResultsA total of 8700 women had physical examination records, and 2,254 women finally met the inclusion criteria. For predicting MetS events, RF and XGBoost had the highest AUC (0.96, 0.95, respectively). XGBoost has the highest F1 value (F1 = 0.77), followed by RF, LR and MLP. SHAP value suggested that the top 5 variables affecting MetS in this study were Waist circumference, Fasting blood glucose, High-density lipoprotein cholesterol, Triglycerides and Diastolic blood pressure, respectively. ConclusionWe’ve developed a targeted MetS risk prediction model for perimenopausal women, using health examination data. This model enables early identification of high MetS risk in this group, offering significant benefits for individual health management and wider socio-economic health initiatives.

Homecare workers - an untapped resource in preventing emergency department visits among older individuals? A qualitative interview study from Sweden

BackgroundOlder individuals with functional decline and homecare are frequent visitors to emergency departments (ED). Homecare workers (HCWs) interact regularly with their clients and may play a crucial role in their well-being. Therefore, this study explores if and how HCWs perceive they may contribute to the prevention of ED visits among their clients.MethodsIn this qualitative study, 12 semi-structured interviews were conducted with HCWs from Sweden between July and November 2022. Inductive thematic analysis was used to identify barriers and facilitators to prevent ED visits in older home-dwelling individuals.ResultsHCWs want to actively contribute to the prevention of ED visits among clients but observe many barriers that hinder them from doing so. Barriers refer to care organisation such as availability to primary care staff and information transfer; perceived attitudes towards HCWs as co-workers; and client-related factors. Participants suggest that improved communication and collaboration with primary care and discharge information from the ED to homecare services could overcome barriers. Furthermore, they ask for support and geriatric education from primary care nurses which may result in increased respect towards them as competent staff members.ConclusionsHCWs feel that they have an important role in the health management of older individuals living at home. Still, they feel as an untapped resource in the prevention of ED visits. They deem that improved coordination and communication between primary care, ED, and homecare organisations as well as proactive care would enable them to add significantly to the prevention of ED visits.

Prevalence and risk factors of diabetes mellitus among elderly patients in the Lugu community

BACKGROUND Age is a significant risk factor of diabetes mellitus (DM). With the develop of population aging, the incidence of DM remains increasing. Understanding the epidemiology of DM among elderly individuals in a certain area contributes to the DM interventions for the local elderly individuals with high risk of DM. AIM To explore the prevalence of DM among elderly individuals in the Lugu community and analyze the related risk factors to provide a valid scientific basis for the health management of elderly individuals. METHODS A total of 4816 elderly people who came to the community for physical examination were retrospectively analyzed. The prevalence of DM among the elderly was calculated. The individuals were divided into a DM group and a non-DM group according to the diagnosis of DM to compare the differences in diastolic blood pressure (DBP) and systolic blood pressure (SBP), fasting blood glucose, body mass index (BMI), waist-to-hip ratio (WHR) and incidence of hypertension (HT), coronary heart disease (CHD), and chronic kidney disease (CKD). RESULTS DM was diagnosed in 32.70% of the 4816 elderly people. The BMI of the DM group (25.16 ± 3.35) was greater than that of the non-DM group (24.61 ± 3.78). The WHR was 0.90 ± 0.04 in the non-DM group and 0.90 ± 0.03 in the DM group, with no significant difference. The left SBP and SBP in the DM group were 137.9 mmHg ± 11.92 mmHg and 69.95 mmHg ± 7.75 mmHg, respectively, while they were 126.6 mmHg ± 12.44 mmHg and 71.15 mmHg ± 12.55 mmHg, respectively, in the non-DM group. These findings indicate higher SBP and lower DBP in DM patients than in those without DM. In the DM group, 1274 patients were diagnosed with HT, accounting for 80.89%. Among the 3241 non-DM patients, 1743 (53.78%) were hypertensive and 1498 (46.22%) were nonhypertensive. The DM group had more cases of HT than did the non-DM group. There were more patients with CHD or CKD in the DM group than in the non-DM group. There were more patients who drank alcohol more frequently (≥ 3 times) in the DM group than in the non-DM group. CONCLUSION Older adults in the Lugu community are at a greater risk of DM. In elderly individuals, DM is closely related to high BMI and HT, CHD, and CKD. Physical examinations should be actively carried out for elderly people to determine their BMI, SBP, DBP, and other signs, and sufficient attention should be given to abnormalities in the above signs before further diagnosis.

Smartphone-Based Point-of-Care Urinalysis Vivoo App: A Validation Study

Point-of-care (POC) analysis has emerged as a pivotal approach in providing rapid and convenient medical diagnostics. Smartphone-based solutions further augment the accessibility and ease of POC, enabling efficient on-the-go analysis. The integration of smartphone technology with POC has paved the way for innovative applications such as the Vivoo App, which empowers users to monitor various health parameters conveniently. Our study validated the accuracy and reliability of the smartphone-based POC urinalysis Vivoo mobile application. A comparative approach was followed wherein artificial urine samples were analyzed using both the Vivoo and traditional laboratory methods. A diverse range of health parameters were assessed. A total of 2618 strips were used over the course of this study to evalate the accuracy of Vivoo. The test strips results appeared to match exactly the expected measurement results. In addition, when the ±1 color block acceptance criterion was applied, 2608 of 2618 measurements of the tested strips were found to have met the expected measurement results completely. Based on the results, the 95% confidence interval for the exact match agreement proportion of Vivoo is 87.55% ± 1.27% and 99.62% ± 0.24%. As a wellness product, this study thus concludes that the Vivoo is appropriate in terms of both device reliability and performance. The app's ability to provide accurate and timely health results offers promising opportunities to improve individual health management.

Sex-specific factors associated with acceptance of smartwatches among urban older adults: the Itabashi longitudinal study on aging.

Smartwatches (SW) are wearable devices that support daily life and monitor an individual's health and activity status. This information is utilized to promote behavior modification, which could help prevent chronic diseases and manage the health of older adults. Despite being interested in SWs, older adults tend to decrease their SW usage as they age. Therefore, understanding the acceptance of SWs among older individuals can facilitate individual health management through digital health technology. This study investigated the factors associated with the acceptance of SWs among older adults in Japan and the variations in the factors by sex. This study utilized data from the 2022 Itabashi Longitudinal Study on Aging, an ongoing cohort study conducted by the Tokyo Metropolitan Institute for Geriatrics and Gerontology. We included 899 eligible individuals aged ≥65 years. Participants were classified into three groups: possessing SW (possessor group), not possessing SW but interested in possession in the future (interest group), and not interested in possession in the future (non-interest group) using a self-administered questionnaire. The level of SW acceptance was operationally defined as follows: low (non-interest group), medium (interest group), and high (possessor group). Further, we evaluated the association of acceptance and purchase intentions of SWs with sociodemographic variables, technology literacy, and health variables. Among the participants, 4.2% possessed SWs, with no significant sex difference (men, 4.2%; women, 4.3%). Among men, age < 75 years, obesity, diabetes, and dyslipidemia were significantly associated with SW acceptance level. Contrastingly, among women, age < 75 years, living alone, higher household income, and a high score for new device use in the technology literacy category were significantly associated with SW acceptance level. Health-related factors were associated with SW acceptance in men, while technology literacy and sociodemographic factors were associated with SW acceptance in women. Our findings may inform the development of sex-specific interventions and policies for increasing SW utilization among older adults in Japan.

Coffee and the risk of osteoarthritis: a two-sample, two-step multivariable Mendelian randomization study.

Purpose: To investigate the potential causal relationship between coffee consumption and osteoarthritis (OA), and to disentangle whether body mass index (BMI) and Bone mineral density (BMD) mediate this relationship. Methods: We performed two-sample and two-step Mendelian randomization (MR) analyses utilizing publicly available genome-wide association studies (GWAS) summary statistics to estimate the association between coffee intake and OA risk (including knee OA, hip OA, knee or hip OA, and total OA), as well as the possible mediating effects of BMI and BMD. In addition, data of different coffee types (decaffeinated coffee, instant coffee, ground coffee-including espresso, filter, etc., and other coffee types) were used to explore the effect of coffee type on the risk of OA. Results: In two-sample MR, coffee intake increased the risk of OA in various sites, with the most significant impact observed in knee osteoarthritis (KOA) (odds ratio [OR] 2.03, 95% confidence interval [CI] 1.57-2.61, p < 0.001). The effect on self-reported OA was minimal (OR 1.03, 95% CI 1.01-1.05, p = 0.006). Further analysis of different types of coffee revealed that only decaffeinated coffee was causally associated with both KOA (OR 4.40, 95% CI 1.71-11.33, p = 0.002) and self-reported OA (OR 1.13, 95% CI 1.02-1.26, p = 0.022). In two-step MR, BMI explained over half of the coffee intake-all OA risk association, while BMD accounted for less than 5% of the mediation effect. Conclusion: Our study suggests that coffee intake increase the risk of OA, with BMI playing a significant mediating role. Decaffeinated coffee appears to have the greatest impact on OA risk compared to other types of coffee. Therefore, managing BMI and selecting appropriate types of coffee should be included in the health management of individuals who frequently consume coffee.

Wellness Perception of South Korean Elementary School Students during the COVID-19 Endemic.

Using convenience sampling, 675 South Korean elementary school students (age 11-12 years old) were selected as participants in July 2023. Data for the study were collected via online and offline surveys between July and August 2023. The collected data were subjected to frequency, reliability, and multicollinearity analyses, independent sample t-tests, and importance-performance analysis (IPA). The findings indicated the following: (1) There was no significant difference in health management performance between male and female children. (2) Children who had not experienced COVID-19 infection, had a higher level of "hygiene management" performance. (3) Among children who did not wear masks during physical activity, "mental health management" and "physical activity management" performance were higher, while "hygiene management" performance was lower. (4) The IPA matrix analysis revealed that, compared to the COVID-19 pandemic period, "physical activity management", "dietary habit management", and "sleep management" still required improvement, while "hygiene management" and "disease management" appeared to have decreased due to the relaxation of epidemic control efforts. As per the study's findings, schools, local communities, and families should make efforts to develop and implement preventive and individualized health management programs that consider the individual characteristics of their children.

Craniosynostosis in molecularly diagnosed Kabuki syndrome: Prevalence and clinical implications.

Kabuki syndrome (KS) is characterized by growth impairment, psychomotor delay, congenital heart disease, and distinctive facial features. KMT2D and KDM6A have been identified as the causative genes of KS. Craniosynostosis (CS) has been reported in individuals with KS; however, its prevalence and clinical implications remain unclear. In this retrospective study, we investigated the occurrence of CS in individuals with genetically diagnosed KS and examined its clinical significance. Among 42 individuals with genetically diagnosed KS, 21 (50%) exhibited CS, with 10 individuals requiring cranioplasty. No significant differences were observed based on sex, causative gene, and molecular consequence among individuals with KS who exhibited CS. Both individuals who underwent evaluation with three-dimensional computed tomography (3DCT) and those who required surgery tended to exhibit cranial dysmorphology. Notably, in several individuals, CS was diagnosed before KS, suggesting that CS could be one of the clinical features by which clinicians can diagnose KS. This study highlights that CS is one of the noteworthy complications in KS, emphasizing the importance of monitoring cranial deformities in the health management of individuals with KS. The findings suggest that in individuals where CS is a concern, conducting 3DCT evaluations for CS and digital impressions are crucial.

Severe mental illness and the risk of breast cancer: A two-sample, two-step multivariable Mendelian randomization study.

Based on epidemiological reports, severe mental illness (SMI) and breast cancer (BC) risk are linked positively. However, it is susceptible to clinical confounding factors, such as smoking, alcohol consumption, etc. Here, we performed a two-sample, two-step multivariable Mendelian randomization (MR) research to explore how the SMI etiologically influences BC risk and to quantify mediating effects of known modifiable risk factors. Data concerning the single nucleotide polymorphism (SNP)-associated with schizophrenia, bipolar disorder (BD), major depressive disorder (MDD), and BC were obtained from two large consortia: the Breast Cancer Association Consortium (BCAC) and the Psychiatric Genomics Consortium (PGC). Then, the correlations of the previous SMI with the BC prevalence and the potential impact of mediators were explored through the two-sample and two-step MR analyses. In two-sample MR, schizophrenia increased BC incidence (odds ratio (OR) 1.06, 95% confidence interval (CI) 1.02-1.10, P = 0.001). In subgroup analysis, schizophrenia increased ER+ BC (OR 1.06, 95% CI 1.03-1.10, P = 0.0009) and ER-BC (OR 1.06, 95% CI 1.01-1.11, P = 0.0123) incidences. Neither MDD nor BD elevated the BC risk. In two-step MR, smoking explained 11.29% of the schizophrenia-all BC risk association. Our study indicates that schizophrenia increases susceptibility to breast cancer, with smoking playing a certain mediating role. Therefore, BC screening and smoking should be incorporated into the health management of individuals with schizophrenia.

Highly stretchable phase change composites for simultaneous health monitoring and thermotherapy

Multifunctional wearable smart devices for personal health management are currently gaining widespread attention. However, precise monitoring and efficient treatment of muscle injuries with multifunctional wearable smart devices still face significant challenges. In this work, stretchable phase change composites (SPCCs) with dual-functional layers are developed by integrating a photothermal phase change layer with an electrothermal conductive layer, where the phase change and conductive layers are constructed by confining island-like MXene-enhanced phase change particles and dispersing multiwalled carbon nanotubes (MWCNTs) in a continuous elastic supporting network, respectively. The resulted SPCCs exhibit excellent flexibility with an elongation at break of 334% and realize sensing performance and efficient photo-/electro-thermal energy conversion. These enticing properties enable SPCCs to simultaneously monitor the motions of human body and implement thermal therapy for the rapid recovery of muscle injury in SD rats, offering possible guidance for the rational designs of next-generation wearable electronic devices for individual health management.

Development of a Chinese version of the Stress Adaption Scale and the assessment of its reliability and validity among Chinese patients with multimorbidity.

To develop a Chinese version of the Stress Adaption Scale (SAS) and to assess its reliability and validity among Chinese patients with multimorbidity. The Brislin model was used to translate, synthesize, back-translate, and cross culturally adapt the SAS. A total of 323 multimorbidity patients selected by convenience sampling method from four hospitals in Zhejiang province. The critical ratio method, total question correlation method, and graded response model (item characteristic curve and item discrimination) were used for item analysis. Cronbach's alpha coefficient and split-half reliability were used for the reliability analysis. Content validity analysis, structural validity analysis, and criterion association validity analysis were performed by expert scoring method, confirmatory factor analysis, and Pearson correlation coefficient method, respectively. The Chinese version of the SAS contained 2 dimensions of resilience and thriving, with a total of 10 items. In the item analysis, the critical ratio method showed that the critical ratio of all items was greater than 3.0 (P<0.001); the correlation coefficient method showed that the Pearson correlation coefficients for all items exceeded 0.4 (P<0.01). The graded response model showed that items of the revised scale exhibited distinct item characteristic curves and all items had discrimination parameters exceeding 1.0. In the reliability analysis, Cronbach's alpha coefficient of the revised Chinese version of the SAS scale was 0.849, and the split-half reliability was 0.873. In the validity analysis, the item-level content validity index and scale-level content validity index both exceeded 0.80. In the confirmatory factor analysis, the revised two-factor model showed satisfactory fit indices (χ2/df=3.115, RMSEA=0.081, RMR=0.046, GFI=0.937, AGFI=0.898, CFI=0.936, TLI=0.915). In the criterion-related validity analysis, the Chinese version of the SAS score was negatively correlated with the Perceived Stress Scale and the Treatment Burden Questionnaire, with correlation coefficients of －0.592 and －0.482, respectively (both P<0.01). The Chinese version of the SAS has good reliability and validity, which can be used to evaluate the stress adaption capacity among multimorbidity patients in China, and provides a reference for developing individualized health management measures.

Estimating the cardiac signals of chimpanzees using a digital camera: validation and application of a novel non-invasive method for primate research

Cardiac measures such as heart rate measurements are important indicators of both physiological and psychological states. However, despite their extraordinary potential, their use is restricted in comparative psychology because traditionally cardiac measures involved the attachment of sensors to the participant’s body, which, in the case of undomesticated animals such as nonhuman primates, is usually only possible during anesthesia or after extensive training. Here, we validate and apply a camera-based system that enables contact-free detection of animals’ heart rates. The system automatically detects and estimates the cardiac signals from cyclic change in the hue of the facial area of a chimpanzee. In Study 1, we recorded the heart rate of chimpanzees using the new technology, while simultaneously measuring heart rate using classic PPG (photoplethysmography) finger sensors. We found that both methods were in good agreement. In Study 2, we applied our new method to measure chimpanzees’ heart rate in response to seeing different types of video scenes (groupmates in an agonistic interaction, conspecific strangers feeding, nature videos, etc.). Heart rates changed during video presentation, depending on the video content: Agonistic interactions and conspecific strangers feeding lead to accelerated heart rate relative to baseline, indicating increased emotional arousal. Nature videos lead to decelerated heart rate relative to baseline, indicating a relaxing effect or heightened attention caused by these stimuli. Our results show that the new contact-free technology can reliably assess the heart rate of unrestrained chimpanzees, and most likely other primates. Furthermore, our technique opens up new avenues of research within comparative psychology and facilitates the health management of captive individuals.

Multifunctional Wearable System for Mapping Body Temperature and Analyzing Sweat.

Integrated wearable bioelectronic health monitoring systems have revealed new possibilities for collecting personalized physiological information. Wearable sweat sensors have the potential to noninvasively measure valuable biomarkers. Mapping sweat and skin-temperature throughout the body can provide detailed information on the human body. However, existing wearable systems cannot evaluate such data. Here, we report a multifunctional wearable platform that can wirelessly measure local sweat loss, sweat chloride concentration, and skin temperature. The approach combines a reusable electronics module to monitor skin temperature and a microfluidic module for monitoring sweat loss and sweat chloride concentration. The miniaturized electronic system takes temperature measurements from the skin and wirelessly transmits the obtained data to a user device using Bluetooth technology. In contrast, the microfluidic system provides accurate colorimetric analysis of the chloride concentration and sweat loss. Thus, this integrated wearable system has great application potential in individualized health management systems for sports researchers and competitors and can also be applied in clinical settings.

Management for stroke intelligent early warning empowered by big data

Global aging population, especially with the global pandemic outbreak of the Corona Virus Disease 2019 (COVID-19), has endangered human health security. Digital information technology through big data empowerment and intelligent application is widely considered a key element to solve the problems. Stroke is a life-threaten disorder. We studied individual health management and disease risk perception using human health assessment model and make full use of wearable wireless sensor, Internet of Things, big data, and Artificial Intelligence for potential risk monitoring and real-time stroke warning. We proposed an effective method of monitoring, early warning and rescue to improve the stroke treatment. The result shows that the health management empowered by big data can generate new opportunities and ideas to solve early detection and warning of stroke.

Design of Smart Health Monitoring System for Disease Detection

The most valuable asset is one's health. However, there isn't much free time for today's people to keep an eye on their health. A health monitoring system that tracks users automatically is necessary to alert users to their health status. Rapid advancement in internet and technology provides improvement in the health system. In the conventional method, people are required to visit their doctors on a regular basis for health checkups. The use of technology in the health monitoring system can save valuable time by having the health status automation. Additionally, the cloud, which revolutionized data transformation, contributes to the development of a better and more dependable health monitoring system. One of the most important technology-based systems has been the healthcare monitoring systems, humans struggle with the problem of premature mortality because people with various ailments don't receive prompt medical care. The main objective was to create a trustworthy smart health monitoring system so that medical professionals could keep an eye on their patients, whether they were in a hospital or at home, using the proposed integrated healthcare system to ensure better and more dependable care. A prototype of health monitoring system is created, and it will have a number of cutting-edge features that will revolutionize the healthcare sector, with less reliance on human labor and greater efficiency in tasks like temperature monitoring, ECG-analysis, ambient temperature and humidity supervising, oxygen level recording, and BPM monitoring, this system will work autonomously. Body temperature, BPM, oxygen, temperature, and humidity sensors are included in the system to help maintain optimal health. The system's accuracy, reliability, sensitivity, usability, and scalability will be tested through comprehensive testing and validation in actual healthcare settings. This enables proactive and individualized health management. The results are anticipated to develop healthcare technologies and improve the standard of healthcare services.

Modern models of quantitative assessment and management of the level of physical, mental and social health as a basis for the prevention of morbidity among children and adolescents

Introduction. The preservation and strengthening of the health in children and adolescents is currently a problem of individual health management in connection with which there is a need to change the approach to health assessment, which consists not only in determining the disease, but also in a prenosological assessment of the level of individual health. The purpose is to develop integral indicators of quantitative assessment of health, on the basis of which to scientifically substantiate the health management system for children and adolescents. Materials and methods. Four thousand eight hundred children and adolescents of school age (7-17 years old) underwent computer diagnostics of the functional state of the central nervous, autonomic and cardiovascular systems using the methods of variation chronoreflexometry (Moroz MP, 2001) and variation cardiorhythmotography (Igisheva LN, 2003). Mental health is investigated by determining anxiety levels, negative emotional experiences, stress prognosis, and stress tolerance. The level of social health was assessed according to the method of E.V. Tsikalyuk (2013). Results. 37.7% of the examined children were found to have a satisfactory level; 28.2% stress, 23% - unsatisfactory and 11.1% showed disadaptation. A high level of anxiety in everyday life was experienced by 36.7% of the subjects and 61.3% in the classroom; 12.3% of children had a high level of negative emotional experiences. 28.1% of children had a high level of social health; 51.6% had an average; 12.3% had a low level; 6.5% had a social “unhealthiness”. Limitations of the study. When developing a modern model for assessing and managing physical, psychological and social health, data from a psychophysiological examination of 4,800 school-age children were used. Conclusion. The developed integral measures of univariate assessment of children’s physical, mental and social health provided the basis for justifying the model of screening and health management of the child population.

Dynamic molecular choreography of circadian rhythm disorders (DMCRD): a prospective cohort study protocol

BackgroundCircadian rhythm disorders (CRDs) are closely associated with the occurrence and development of various diseases, such as inflammatory and cardiovascular diseases, as well as tumors. The impact of a CRD on bodily health is a complex and comprehensive process, and its molecular mechanisms and signaling pathways are still unclear. We therefore aimed to investigate the molecular mechanism variation and adverse outcomes associated with CRDs in a prospective cohort of CRD cases and controls at term using multiomics data. The study has been tasked with developing a precise health promotion model for the prevention and management of CRDs.MethodsThis will be a 5-year prospective cohort study centered on the health management of individuals with CRDs. One hundred volunteers were recruited and had undergone baseline specimen collection, health examination, and health assessment. All of them will be followed up every year using the same protocol, and their biological specimens will be subjected to multiomics analysis after standardized processing.DiscussionLongitudinal health examination, health assessment, and multiomics data will be analyzed to study the impact of CRDs on the volunteers’ health status. The results of this study will promote the development of targeted health management programs based on precision medicine.Trial registrationThe clinical study registration has been completed (Trial Registration No. ChiCTR2100047242).

Multiplexed detection of bacterial nucleic acids using Cas13 in droplet microarrays

Rapid and accurate diagnosis of infections is fundamental to individual patient care and public health management. Nucleic acid detection methods are critical to this effort, but are limited either in the breadth of pathogens targeted or by the expertise and infrastructure required. We present here a high-throughput system that enables rapid identification of bacterial pathogens, bCARMEN, which utilizes: (1) modular CRISPR-Cas13-based nucleic acid detection with enhanced sensitivity and specificity; and (2) a droplet microfluidic system that enables thousands of simultaneous, spatially multiplexed detection reactions at nanoliter volumes; and (3) a novel preamplification strategy that further enhances sensitivity and specificity. We demonstrate bCARMEN is capable of detecting and discriminating 52 clinically relevant bacterial species and several key antibiotic resistance genes. We further develop a simple proof of principle workflow using stabilized reagents and cell phone camera optical readout, opening up the possibility of a rapid point-of-care multiplexed bacterial pathogen identification and antibiotic susceptibility testing.