Occurrence Of Illness Research Articles

Effects of physical, psychosocial and dual-career loads on injuries and illnesses among elite handball players: protocol of prospective cohort study

IntroductionHealth problems in sport cause a major burden on several pillars: sport clubs, health and insurance system and mostly the individual athlete. There is limited knowledge in supporting dual-career athletes...

Early recognition of risk of critical adverse events based on deep neural decision gradient boosting.

Perioperative critical events will affect the quality of medical services and threaten the safety of patients. Using scientific methods to evaluate the perioperative risk of critical illness is of great significance for improving the quality of medical services and ensuring the safety of patients. At present, the traditional scoring system is mainly used to predict the score of critical illness, which is mainly dependent on the judgment of doctors. The result is affected by doctors' knowledge and experience, and the accuracy is difficult to guarantee and has a serious lag. Besides, the statistical prediction method based on pure data type do not make use of the patient's diagnostic text information and cannot identify comprehensive risk factor. Therefore, this paper combines the text features extracted by deep neural network with the pure numerical type features extracted by XGBOOST to propose a deep neural decision gradient boosting model. Supervised learning was used to train the risk prediction model to analyze the occurrence of critical illness during the perioperative period for early warning. We evaluated the proposed methods based on the real data of critical illness patients in one hospital from 2014 to 2018. The results showed that the critical disease risk prediction model based on multiple modes had faster convergence rate and better performance than the risk prediction model based on text data and pure data type. Based on the machine learning method and multi-modal data of patients, this paper built a prediction model for critical adverse events in patients, so that the risk of critical events can be predicted for any patient directly based on the preoperative and intraoperative characteristic data. At present, this work only classifies and predicts the occurrence of critical illness during or after operation based on the preoperative examination data of patients, but does not discuss the specific time when the patient was critical illness, which is also the direction of our future work.

Cardiovascular Profile of patients with COVID-19 infection admitted at a tertiary hospital

Abstract Funding Acknowledgements Type of funding sources: None. Introduction In December 2019, a novel Coronavirus disease 2019 (COVID-19) was discovered and spread rapidly worldwide. The virus spared no country in its contagiousness. The most common clinical manifestations are respiratory symptoms; but COVID-19 may induce arrhythmias, myocardial infarction, heart failure, and other cardiovascular diseases due to the systemic inflammatory response coupled with localized vascular inflammation. The study aims to provide knowledge about the clinical profile, cardiovascular complications, and clinical outcomes among adult COVID-19 patients admitted to a tertiary hospital. Methods This study is a single-centered cross-sectional retrospective study of hospitalized adult COVID-19 patients between March 2020 to May 2022. COVID-19 confirmed patients who met the inclusion criteria with clinical data upon hospitalization are followed up for occurrence of critical illness. The study's primary outcome is determining the demographic profile and clinical course of COVID-19 infection regarding cardiovascular signs and symptoms. Data were retrieved from electronic health records. All outcomes were obtained with standardized data collection forms, and clinical severity was defined based on the National Institute of Health guidelines. Results A total of 1341 hospitalized adult COVID-19 patients were admitted with a mean age of 50.41±15.92 years. More males than females account for 60.2% of the total number of patients. Hypertension is the most common comorbidity among COVID-19 patients, comprising 44% of cases, followed by diabetes at 31.9% and dyslipidemia at 11.4%. About 5.4% had coronary artery disease, followed by heart disease 6 (3.6%) and arrhythmia (0.6%). Most COVID-19 patients were smokers 12% and alcoholic beverage drinkers (11.4%). A univariate analysis associated with mortality showed diabetes mellitus (odds ratio 2.7, p = 0.029) and hypertension (odds ratio 3.4, p = 0.11). In the multiple logistic regression analysis, factors' age (OR 1.095, estimate coefficient 0.091, standard error 0.028, p-value <0.05) and admission duration (OR 0.906, estimate coefficient -0.099, standard error 0.028, p-value <0.05) were significantly associated with mortality. Based on the fitted model, older people are more likely to be deceased than younger people. The log odds for mortality increase by 0.091 units for each year. During hospital admission, 24.43% of patients developed acute COVID-19 infection, with an in-hospital case-fatality rate of 13.89%. During hospital stay, COVID-19 patients had a significant QTc (.43 ± 0.04, p«0.001). Patients admitted to Non-ICU had lower QTc (.44 ± 0.045) compared to ICU patients (.45 ± .05). Conclusion Myocardial injury and significant cardiovascular risk factors increased mortality among critically-ill COVID-19 patients. Hence, aside from risk factor modification, emphasis on cardiovascular protection should also be considered during treatment for COVID-19.

Development and validation of a clinical risk score to predict the occurrence of critical illness in hospitalized patients with SFTS

BackgroundSevere fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease with high mortality. Early identification of patients who may advance to critical stages is crucial. This investigation aimed to establish models to predict SFTS before it reaches the critical illness stage. MethodsBetween January 2016 and September 2022, 278 cases have been included in this study. There were 87 demographic and systemic chosen variables. For selecting the predictive variables from the cohort, the LASSO was utilized, and for identifying independent predictors, multivariate logistic regression was performed. Based on these factors, a nomogram was established for critical illness. Concordance index values, decision curve analysis and the area under the curve (AUC) were also examined. ResultsMultivariate logistic regression demonstrated the most important differentiating factors as;> 65 years old (P < 0.001, OR 3.388, 95 % CI 1.767–6.696), elevated serum PT (P = 0.011, OR 6.641, 95 % CI 1.584–31.934), elevated serum TT (P = 0.005, OR 3.384, 95 % CI 1.503–8.491), and elevated serum bicarbonate (P = 0.014, OR 0.242, 95 % CI 0.070–0.707). The C-index of the nomogram was 0.812 (95 % CI: 0.754–0.869), representing good discrimination. The model also showed excellent calibration. The AUC of the nomogram established based on four factors, as mentioned earlier, was 0.806. Furthermore, the model had the excellent net benefit, as revealed by the decision curve analysis. ConclusionAn accurate risk score system built on manifestations noted in patients with SFTS upon admission to hospital, might be advantageous in managing SFTS.

Does Nicotine from Passive Smoking and Foods Protect Against Parkinson’s Disease?

Background: There is generally a strong link between smoking, more particularly, passive smoking, and the occurrence of various illnesses and health-related disorders. Also, there is a globally recognized epidemiological link between smoking and Parkinson’s disease (PD). However, the current data on passive smoking are contradictory. Thus, this paper extracted the inconsistent existing studies to systematically shed light on the slightly ambiguous protective properties of dietary nicotine and passive smoking as influential factors against PD. Method: This systematic review was registered in PROSPERO (CRD042020160707). Two independent researchers searched through the following databases: PubMed, Cochrane Library, Scopus, Ovid, Embase, Google Scholar, and ProQuest to find relevant dissertations and theses. This study involved the data of papers published until 30th September, 2020. The Newcastle- Ottawa scale (NOS) was used for case-control and cohort studies for quality assessment. The study extracted cases without a history of smoking and the number of patients with PD in the workspace, home, and lifetime and organized them based on each research. The study implemented Q-statistic to investigate the selected papers based on statistical heterogeneity. Result: In total, four cohorts and five case-control papers were included. Our findings indicated that lifetime exposure to smoking had a protective effect against PD risks (OR: 0.84; 95% CI: 0.70-0.99; p =0.04). However, the settings, workspace, home exposure, and PD risk did not display to have any considerable relationship. It should be noted that the studies on the relationship between dietary nicotine and PD risks have revealed the protective effect of nicotine-rich foods, like potatoes, tomatoes, and peppers, on PD risks. Conclusion: In light of the observational studies covered in this paper, its findings should receive an organized interpretation while identifying the relevant mechanisms of this association.

Remote Health Care Monitoring System using IoT for Asthma/Heart Patients

Abstract: Healthcare has now become a big concern in almost everyone's socioeconomic routine. With the digitalization of lifestyle, the era of modern human evaluation began, making people robust and machine dependent. This leads to the numerous amounts of data that are scattered everywhere in each and every move in his day-to-day life. Digitization transformed basic information technology into intelligent technology by altering human lifestyle. Additionally, the world's population is expanding, which means the occurrence of numerous chronic heart illnesses. Consequently, more people get sick, hospitals are congested, and the death rate rises. Additionally, this technology transmits real-time data on patients' heartbeat and temperature with records over the Internet. Therefore, a patient health monitoring system based on IoT uses the internet to efficiently monitor patient health. It also allows users to monitor their loved ones while they are at work and has even saved lives. Also, NodeMCU is used as the web server to track patient health while using this monitoring system. Consequently, patient health indicators like body temperature, heart rate, and blood oxygen level are get monitored and stores the data. Also, Big data is a concept that can be applied to better health monitoring.

A practical scoring model to predict the occurrence of critical illness in hospitalized patients with SARS-CoV-2 omicron infection.

The variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have emerged repeatedly, especially the Omicron strain which is extremely infectious, so early identification of patients who may develop critical illness will aid in delivering proper treatment and optimizing use of resources. We aimed to develop and validate a practical scoring model at hospital admission for predicting which patients with Omicron infection will develop critical illness. A total of 2,459 patients with Omicron infection were enrolled in this retrospective study. Univariate and multivariate logistic regression analysis were performed to evaluate predictors associated with critical illness. Moreover, the area under the receiver operating characteristic curve (AUROC), continuous net reclassification improvement, and integrated discrimination index were assessed. The derivation cohort included 1721 patients and the validation cohort included 738 patients. A total of 98 patients developed critical illness. Thirteen variables were independent predictive factors and were included in the risk score: age > 65, C-reactive protein > 10 mg/L, lactate dehydrogenase > 250 U/L, lymphocyte < 0.8*10^9/L, white blood cell > 10*10^9/L, Oxygen saturation < 90%, malignancy, chronic kidney disease, chronic cardiac disease, chronic obstructive pulmonary disease, diabetes, cerebrovascular disease, and non-vaccination. AUROC in the derivation cohort and validation cohort were 0.926 (95% CI, 0.903-0.948) and 0.907 (95% CI, 0.860-0.955), respectively. Moreover, the critical illness risk scoring model had the highest AUROC compared with CURB-65, sequential organ failure assessment (SOFA) and 4C mortality scores, and always obtained more net benefit. The risk scoring model based on the characteristics of patients at the time of admission to the hospital may help medical practitioners to identify critically ill patients and take prompt measures.

Infodemiology of RSV in Italy (2017-2022): An Alternative Option for the Surveillance of Incident Cases in Pediatric Age?

The aim of this study was to evaluate whether or not online queries for Respiratory Syncytial Virus (RSV) retrieved by means of Google Trends™ and the Italian Wikipedia analysis program mirror the occurrence of influenza-like illnesses (ILI), as reported by the Italian Influenza Surveillance network (InfluNet). Estimated rates for ILI in the general population and in the age groups 0-4 years and 5-14 years were obtained for the influenza seasons 2017-2018 to 2020-2021. Similarly, a weekly fraction of online searches was retrieved for a series of terms associated with Respiratory Syncytial Virus. Next, trends for daily visualization of Italian Wikipedia Pages for Human Respiratory Syncytial Virus, Pneumonia, Bronchiolitis, Influenza, and Respiratory Failure were similarly retrieved. The correlation of all search terms with ILI was analyzed by means of Spearman's rank correlation analysis. Among search terms associated with the clinical diagnosis of Respiratory Syncytial Virus infections, the occurrence of ILI was highly correlated only with Bronchiolitis in the age group 0-4 years (β 0.210, p = 0.028), while more generic search terms, such as Bronchitis, fever, influenza, and Pneumonia, were identified as effective predictors of ILI, in general and by age groups. In a regression analysis modeled with ILIs as the outcome variable, daily visualizations for the Wikipedia pages on Bronchiolitis were identified as negative predictors for ILI in general (β = -0.152, p = 0.032), ILI in age group 0-4 years (β = -0.264, p = 0.001) and 5-14 years (β = -0.202, p = 0.006), while Influenza was characterized as a positive effector for ILIs in the age group 5-14 years (β = 0.245, p = 0.001). Interestingly, not only were the search terms extensively correlated with one another, but all of them were also characterized by autocorrelation through a Durbin-Watson test (all estimates DW &lt; 2.0) In summary, our study identified a complicated pattern of data visualization as no clear association between rates of ILI in pediatric age group 0-4 and 5 to 14 years was actually found. Finally, our data stress that the infodemiology option may be quite problematic for assessing the time trend of RSV infections in Italy until more appropriate reporting will be made available, by sharing estimates of Lower Respiratory Tract Infections, and through a more accurate characterization of younger age groups.

Oblicze starości w Polsce na początku XXI wieku

Forecasts for our population clearly indicate that ageing process of Polish community will be accelerated in the nearest decades of XXI-st century. Population ageing process should be perceived by the decision makers as the most important phenomenon in the XXI-st century, as it affects many areas of social life, such as but not limited to, economy, social security, social aid, labour market, etc. It also means an increase of the risk for occurrence of many chronic illnesses, which force the need for intensified health care, nursing, rehabilitation, stimulation to activity and spiritual support as well as growth of demand for the services from the side of social aid institutions. Old age is not a period detached from the rest of life – it is its continuation despite of fact that it is connected with many limitations, hence there are many new challenges related with that. We should assure to elderly people the right to live on the level that guarantees sense of social dignity, regardless of their age.

New sports, COVID-19 and the heat: sports injuries and illnesses in the Tokyo 2020 Summer Olympics

ObjectiveTo describe the incidence of injuries and illnesses sustained during the Tokyo Summer Olympic Games from 23 July to 8 August 2021.MethodsWe recorded the daily number of athlete injuries and...

Household level of air pollution and its impact on the occurrence of Acute Respiratory Illness among children under five: secondary analysis of Demographic and Health Survey in West Africa

BackgroundOne out of ten deaths of children under five are attributable to indoor air pollution. And Acute Respiratory Illness (ARI) is among the direct causes.ObjectiveThis study showed the possibilities of characterizing indoor air pollution in West African Economic and Monetary Union (WAEMU) area and it also made it possible to estimate its impact on the occurrence of ARI in children under five.MethodsIt has been a secondary analysis based on Demographic and Health Surveys (DHSs) from WAEMU countries’ data.. “Household level of air pollution” is the created composite variable, from questions on the degradation factors of indoor air quality (domestic combustion processes) which served to characterize indoor air pollution and to measure its impact by a logistic regression.ResultsBurkina Faso stands out with a greater number of households with a high level of pollution (63.7%) followed by Benin (43.7%) then Togo (43.0%). The main exposure factor "Household level of air pollution" was associated with ARI symptoms (Togo: prevalence = 51.3%; chi-squared test’s p-value < 0.001). Exposure to high level of pollution constitutes a risk (AOR [95 CI]), even though it is not significant ( Ivory Coast: 1.29 [0.72–2.30], Senegal: 1.39 [0.94–2.05] and Togo: 1.15 [0.67–1.95]) and this could be explained by the high infectious etiology of the ARI.

Risk factors for injury and illness in youth floorball players – A prospective cohort study

ObjectivesTo investigate risk factors for injury and illness in female and male youth floorball players (12–17 years) during a 26-week floorball season. DesignProspective cohort study. SettingRecreational youth sport. Participants471 players (142 females) 12-17 years. Main outcome measuresWeekly survey including questions about stress, sleep quality, well-being, sport exposure and average weekly rating of perceived exertion (RPE). Acute:chronic workload ratio (ACWR) was calculated. The Oslo Sports Trauma Research Center questionnaire on health problems was used. Predictors of new injury and illness were examined using multi-level logistic regression models with weekly measures nested within individuals. ResultsHigher stress, poorer sleep quality and well-being increased the odds of a new injury in the subsequent week by 8% (2.0–13.5%), 10% (4.2–15.9%) and 8% (2.4–13.5%) per 1 unit increase. Higher stress, and poorer well-being increased the odds of illness by 8% (2.6–12.6%), and 12% (7.2–16.6%). ACWR below 0.8 or above 1.3 increased the odds of illness by 34% (4.9–70.8%). ConclusionsPerceived stress, well-being, and sleep quality were associated with injury and illness occurrence in the subsequent week. ACWR outside the range 0.8–1.3 was associated with illness the subsequent week. Trial registrationClinical Trials registration NCT03309904.

CT-based pathological lung opacities volume as a predictor of critical illness and inflammatory response severity in patients with COVID-19

ObjectiveThe aim of the study was to assess the impact of CT-based lung pathological opacities volume on critical illness and inflammatory response severity of patients with COVID-19. MethodsA retrospective, single center, single arm study was performed over a 30-day period. In total, 138 patients (85.2%) met inclusion criteria. All patients were evaluated with non-contrast enhanced chest CT scan at hospital admission. CT-based lung segmentation was performed to calculate pathological lung opacities volume (LOV). At baseline, complete blood count (CBC) and inflammation response biomarkers were obtained. The primary endpoint of the study was the occurrence of critical illness, as defined as, the need of mechanical ventilation and/or ICU admission. Mann-Whitney U test was performed for univariate analysis. Logistic regression analysis was performed to determine independent predictors of critical illness. Spearman analysis was performed to assess the correlation between inflammatory response biomarkers serum concentrations and LOV. ResultsMedian LOV was 28.64% (interquartile range [IQR], 6.33–47.22%). Correlation analysis demonstrated that LOV was correlated with higher levels of D-dimer (r = 0.51, p < 0.01), procalcitonin (r = 0.47, p < 0.01) and IL6 (r = 0.48, p < 0.01). Critical illness occurred in 51 patients (37%). Univariate analysis demonstrated that inflammatory response biomarkers and LOV were associated with critical illness (p < 0.05). However, multivariate analysis demonstrated that only D-dimer and LOV were independent predictors of critical illness. Furthermore, a ROC analysis demonstrated that a LOV equal or greater than 60% had a sensitivity of 82.1% and specificity of 70.2% to determine critical illness with an odds ratio of 19.4 (95% CI, 4.2–88.9). ConclusionCritical illness may occur in up to 37% of the patients with COVID-19. Among patients with critical illness, higher levels of inflammatory response biomarkers with larger LOVs were observed. Furthermore, multivariate analysis demonstrated that pathological lung opacities volume was an independent predictor of critical illness. In fact, patients with a pathological lung opacities volume equal or greater than 60% had 19.4-fold increased risk of critical illness.

Impact of age group on bloodstream infection risk evaluation in immunosuppressed patients: a retrospective, single-centre, 5-year cohort study.

Elderly patients in immunosuppressive status may have an increased occurrence of illness and risk of poor prognosis. It is a generally overlooked population that we should pay more attention to their risk factors of sickness and mortality. Eight hundred and nine patients who were diagnosed with bloodstream infection in immunosuppressive states during accepting treatment in our hospital were selected from 2015 to 2019.The demographic data, underlying diseases, comorbidity, inducement, complications, pathogen sources, etiologies, and the antibiotics therapy were analyzed between ages > 65years groups and ages < 65years groups. The clinical characteristics of totally 809 immunosuppressed people diagnosed with bloodstream infection were analyzed, and among those people about 371 were ages > 65years. By univariate logistic regression analysis and multivariate logistic regression analysis, we found that hypertension (OR: 2.864, 95% CI 2.024-4.051, P < 0.0001), cerebral Infarction (OR: 4.687, 95% CI 2.056-10.686, P < 0.0001), coronary heart disease (OR: 1.942, 95% CI 1.168-3.230, P = 0.011), acute pancreatitis (OR: 3.964, 95% CI 2.059-7.632, P < 0.0001), infective endocarditis (OR: 6.846, 95% CI 1.828-25.644, P = 0.004), aortic dissection (OR: 9.131, 95% CI 3.190-26.085, P < 0.0001), chemotherapy (OR: 3.462, 95% CI 1.815-6.603, P < 0.0001), transplant status (OR: 20.031, 95% CI 4.193-95.697, P < 0.0001), and respiratory tract infection (OR: 2.096, 95% CI 1.269-3.461, P = 0.004) were significantly different between ages > 65years groups and ages < 65years groups. Hypertension, cerebral Infarction, coronary heart disease, acute pancreatitis, infective endocarditis, aortic dissection, chemotherapy, transplant status, and pathogen source of respiratory tract were the independent risk factors of ages > 65years in immunosuppressed patients, which would have the benefit to discriminate the prognostic factors in immunosuppressive elderly people with bloodstream infection.

Effect of Vitamin C Supplements on Respiratory Tract Infections: A Systematic Review and Meta-Analysis.

Respiratory tract infections are a primary cause of illness and mortality over the world. This study was aimed to investigate the effectiveness of vitamin C supplementation in preventing and treating respiratory tract infections. We used the Cochrane, PubMed, and MEDLINE Ovid databases to conduct our search. The inclusion criteria were placebo-controlled trials. Random effects meta-analyses were performed to measure the pooled effects of vitamin C supplementation on the incidence, severity, and duration of respiratory illness. We found ten studies that met our inclusion criteria out of a total of 2758. The pooled risk ratio (RR) of developing respiratory illness when taking vitamin C regularly across the study period was 0.94 (with a 95% confidence interval of 0.87 to 1.01) which found that supplementing with vitamin C lowers the occurrence of illness. This effect, however, was statistically insignificant (P= 0.09). This study showed that vitamin C supplementation had no consistent effect on the severity of respiratory illness (SMD 0.14, 95% CI -0.02 to 0.30: I2 = 22%, P=0.09). However, our study revealed that vitamin C group had a considerably shorter duration of respiratory infection (SMD -0.36, 95% CI -0.62 to -0.09, P = 0.01). Benefits of normal vitamin C supplementation for reducing the duration of respiratory tract illness were supported by our meta-analysis findings. Since few trials have examined the effects of therapeutic supplementation, further research is needed in this area.

Lived experiences of stroke survivors in India: A phenomenological study.

Stroke is a major cause of long-term disability and has a potentially enormous emotional and socio-economic impact on patients, their families, and health services. Perceptions of patients with stroke have already been studied worldwide, which are unique in terms of their cultural background. However, in India, there is a lack of studies about the experience of the disease by stroke survivors and their perspectives of understanding the situation. This study aimed to explore lived experience of stroke survivors in India. A phenomenological study design was used. In-depth interviews were conducted with a purposive sample of ten stroke survivors who had experienced post-stroke deficits three months to one year after stroke. Data were analyzed using Diekelmann's hermeneutical approach to identify underlying themes. Two main themes emerged: (1) emergence of stroke (actual occurrence, mental perception, and recognition of illness) and (2) therapeutic concerns (enhanced and weakened recovery). Recognizing how patients experience the illness is crucial in planning care for stroke survivors. Strengthening factors enhancing recovery and limiting the hindering factors through effective therapeutic management is a necessity. The findings might also contribute to refining existing interventions and designing holistic multi-component rehabilitation programs that facilitate easy recovery. The study also highlights the need for providing information to general public on recognizing warning signs of stroke.

Human Monkeypox: Old virus with new Epidemiological and Transmission Trends.

Human monkeypox is an emerging zoonotic disease caused by a monkeypox virus. The monkeypox virus history originated in 1958 after the occurrence of a pox-like illness in monkeys. In September 1970, the first case of human monkeypox was identified in the Democratic Republic of Congo, Africa. This year, from January 01, to September 30, 2022, the virus swiftly spread from endemic to non-endemic counties, involving 106 states, infecting 68,017 people; 689 cases from 07 endemic African countries and 67,328 cases in 99 non-endemic countries in Europe, America, Asia and Oceania continents. The disease caused 27 deaths in 13 countries worldwide. The human monkeypox disease significantly affects the population in South, North and Central America 34767 (51.11%), Europe 32047 (47.11%), Africa 707 (1.03%), Asia 351 (0.51%), and Australia and Oceania continent 145 (0.21%). The occurrence of the disease is high in males with age ranges of 21-55 years. The common clinical features in monkeypox patients are skin rashes (95%), fever (72%), malaise (69%), chills (67%), pruritis (64%), headache (64%), enlarged lymph nodes (63%) myalgia (60%) and nausea and vomiting (20%). The transmission trends of the disease are rapidly changing; the virus is not limited to close contact with humans. It can spread through body fluids, respiratory droplets, and sexual contact. The disease can transmit during travelling, contact with soiled materials, infected cloths, bed linen, objects, air pollutants, and in various workplace environments. The monkeypox virus has adopted multiple transmission routes, and swiftly spreading and developing challenging and threatening situations worldwide.

Incidence of psychiatric illness in patients with neuroendocrine tumors: a comparative population-based analysis.

Diversion of tryptophan to tumoral hormonal production has been suggested to result in psychiatric illnesses in neuroendocrine tumors (NET). We measured the occurrence of psychiatric illness after NET diagnosis and compare it to colon cancer (CC). We conducted a population-based retrospective cohort study. Adults with NET were matched 1:1 to CC (2000-2019). Psychiatric illness was defined by mental health diagnoses and mental health care use after a cancer diagnosis, categorized as severe, other, and none. Cumulative incidence functions accounted for death as a competing risk. A total of 11,223 NETs were matched to CC controls. Five-year cumulative incidences of severe psychiatric illness for NETs vs. CC was 7.7% (95%CI 7.2-8.2%) vs 7.6% (95%CI 7.2-8.2%) (p = 0.50), and that of other psychiatric illness was 32.9% (95%CI 32.0-33.9%) vs 31.6% (95%CI 30.8-32.6%) (p = 0.005). In small bowel and lung NETs, 5-year cumulative incidences of severe (8.1% [95%CI 7.3-8.9%] vs. 7.0% [95%CI 6.3-7.8%]; p = 0.01) and other psychiatric illness (34.7% [95%CI 33.3-36.1%] vs. 31.1% [95%CI 29.7-32.5%]; p < 0.01) were higher than for matched CC. The same was observed for serotonin-producing NETs for both severe (7.9% [95%CI 6.5-9.4%] vs. 6.8% [95%CI 5.5-8.2%]; p = 0.02) and other psychiatric illness (35.4% [95%CI 32.8-38.1%] vs. 31.9% [95%CI 29.3-34.4%]; p = 0.02). In all NETs, there was no difference observed in the incidence of psychiatric illness compared to CC. For sub-groups of small bowel and lung NETs and of serotonin-producing NETs, the incidence of psychiatric illness was higher than for CC. These data suggest a signal towards a relationship between those sub-groups of NETs and psychiatric illness.

Research progress of psychoradiology in geriatric neurodegenerative diseases

<p indent="0mm">Psychoradiology is an emerging interdisciplinary field that uses various radiological imaging technologies to analyze normal and abnormal psychiatric conditions, neurophysiology, and mental health to guide the clinical diagnosis of neuropsychiatric disorders and assist in neuromodulation therapies. Psychoradiology can be employed for the early detection, diagnosis, and prevention of neuropsychiatric disorders and combined with neuromodulation techniques for brain function rehabilitation. Psychoradiology explores the brain anatomy and function using diverse radiological technologies to uncover neurobiological mechanisms underlying the occurrence and development of psychiatric illness, which provides a theoretical basis for the rehabilitation of neuropsychiatric disorders and objective auxiliary evaluation techniques for clinical diagnosis and treatment. This paper first introduces the theory of psychoradiology and then systematically reviews the current development and latest research progress on geriatric neurodegenerative diseases, mainly including Parkinson’s disease and Alzheimer’s disease, in psychoradiology, and finally proposes our prospects for the development of psychoradiology research on geriatric neurodegenerative diseases.

Factors Associated with Hypertension in Pregnant Women at Sukarejo Village, Tanjung Jabung Barat District

Hypertension in pregnant women is a factor in the occurrence of illness and death in the mothers or fetus. The causes of hypertension during pregnancy are influenced by various factors including maternal age, family history of hypertension, obesity, physical activity and parity. The purpose of this study was to analyze the factors associated with hypertension in pregnant women at Sukarejo Public Health Center, Tanjung Jabung Barat District. The design of the research was Cross Sectional. The population was all pregnant women in Sukarejo Village, Tanjab Barat Regency with a sample of 71 pregnant women (total sampling). The independent variables are maternal age, maternal occupation, parity, family history of hypertension, food consumption patterns and physical activity. Data collection was carried out by interview using questionnaires and measurements. The data obtained were analyzed by univariate and bivariate analysis using the Chi Square test. The proportion of hypertension in pregnant women is 54.9%. The proportion of mothers who had a family history of hypertension among pregnant women with hypertension was 86.2%, the proportion of poor food consumption patterns among pregnant women with hypertension was 69.7% and the proportion of active mothers in pregnant women with hypertension was 87.5%. Statistical analysis showed a relationship between family history of hypertension (p = 0.000, PR = 2.58), diet (p = 0.036, PR = 1.65) and physical activity (p = 0.000, PR = 0.43) with hypertension in pregnant women. The dominant cause of hypertension in pregnant women is a family history of hypertension. Pregnant women need to always check blood pressure and pregnancy checks so that they can detect early signs of hypertension.