Determination of the cutoff point for Smartphone Application-Based Addiction Scale for adolescents: a latent profile analysis

BMC Psychiatry, Год журнала: 2023, Номер 23(1)

Опубликована: Сен. 16, 2023

The Smartphone Application-Based Addiction Scale (SABAS) is a validated 6-item measurement tool for assessing problematic smartphone use (PSU). However, the absence of established cutoff points SABAS hinders its utilities. This study aimed to determine optimal point through latent profile analysis (LPA) and receiver operating characteristic curve (ROC) analyses among 63, 205. Chinese adolescents. Additionally, explored whether PSU screening with could effectively capture social media (PSMU) internet gaming disorder (IGD).We recruited 63,205. adolescents using cluster sampling. Validated questionnaires were used assess PSMU, IGD, mental health (depression, anxiety, sleep disturbances, well-being, resilience, externalizing internalizing problems).LPA identified 3-class model PSU, including low-risk users (38.6%, n = 24,388.), middle-risk (42.5%, 26,885.), high-risk (18.9%, 11,932.). High-risk regarded as "PSU cases" in ROC analysis, which demonstrated an cut-off 23 (sensitivity: 98.1%, specificity: 96.8%). According point, 21.1% (n 13,317.) PSU. displayed higher worse health. captured IGD 86.8%, 84.5%) PSMU 84.5%, 80.2%).A potential ideal threshold utilizing identify be (out 36). Employing holds reliably pinpoint both PSMU.

Язык: Английский

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Long-term outcomes of post-acute sequelae of SARS-CoV-2 infection: a cohort study protocol

Frontiers in Public Health, Год журнала: 2025, Номер 13

Опубликована: Март 7, 2025

Introduction Post-Acute Sequelae of SARS-CoV-2 Infection (PASC) presents a multifaceted interplay demographic, clinical, environmental, and socioeconomic factors. Quantification at the individual level these factors remains underexplored. Our study aims to address this knowledge gap by analyzing long-term health implications PASC, utilizing comprehensive integration spatiotemporal, data. Methods analysis The will enroll over 4,000 confirmed COVID-19 patients from Gansu Provincial Hospital, treated December 2022 May 2023, as baseline. These are spread across 14 cities in Province, with geographic coordinates ranging 92°13′E 108°46′E 32°31’N 42°57’N. Follow-ups be conducted via structured telephone interviews 24, 36, 48 months post-discharge, 2024 2027, assess PASC outcomes. Participants categorized into three age groups: children teenagers (birth 18 years), adults (18–65 older adult (over 65 years). Environmental data corresponding each case also integrated. primary objective is persistence outcomes symptoms. Secondary objectives focus on evaluating acute infection phase, its progression, efficacy medical management strategies influencing trajectories. Mixed-effects models utilized evaluate impact various while spatiotemporal analyses explore correlations between environmental conditions diagnosis recovery trajectories PASC. Ethics dissemination Hospital’s research ethics committee has approved protocol. Participation voluntary, informed consent obtained all participants. Study results published peer-reviewed journals. Clinical trial registration ChiCTR2400091805.

Язык: Английский

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Long‑term physical and mental Health-Related Quality of Life in Italian patients post COVID-19 hospitalisation

Quality of Life Research, Год журнала: 2025, Номер unknown

Опубликована: Янв. 8, 2025

Prior evidence suggests that patients' Health Related Quality of Life (HRQoL) worsens after COVID-19. This study aimed to investigate HRQoL in Italian patients post-hospitalization for COVID-19, focusing on changes physical and mental over time since COVID-19 diagnosis. A cohort hospitalized at Molinette Hospital Turin, Italy, was contacted post-discharge assess using the SF-36 questionnaire. Patients completed questionnaire only once a different design allowed analysis responses up three years Measured scores were compared with normative data from population z-scores. differences by gender, comorbidities, self-perception health status before tested. The effect diagnosis (PCS) (MCS) analysed multiple linear models stratified analyses. total 601 significantly lower population. Men individuals without comorbidities had better HRQoL, self-perceptions influenced HRQoL. Time associated improved PCS, but MCS remained unaffected. Mental declined anxiolytics post-COVID-19, increasing age negatively affected health. Our findings highlight impact post-COVID-19 an suggest need further investigation into pandemic's effects Physicians should implement measures improve post-COVID-19. relationship between both is highly debated topic. impairs reduces ability engage normal activities. However, long-term consequences (12–36 months) remain relatively unexplored, particularly In this study, we examined sample hospitalisation their indicate worsened these current Over time, tends patients, does not show similar trend. These results re-evaluate pandemic Italy emphasize importance addressing enhance those

Язык: Английский

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Symptom network analysis of insomnia-depression-anxiety-stigma in tuberculosis patients

Frontiers in Psychiatry, Год журнала: 2025, Номер 15

Опубликована: Янв. 23, 2025

Background Insomnia, depression, anxiety, and stigma are prevalent often coexist in patients with Tuberculosis (TB), potentially exacerbating one another. However, the complex intrinsic associations among these four disorders remain unclear, particularly concerning role of relation to other disorders. Methods A cross-sectional study was conducted at West China Hospital Fourth People’s Guangxi from November 2023 June 2024. The levels insomnia, TB were assessed using Pittsburgh Sleep Quality Index (PSQI), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), TB-Related Stigma Scale (TRSS). Network analysis used identify central bridge symptoms explore within insomnia-depression-anxiety-stigma network. Results PHQ1 (anhedonia), GAD1 (nervousness), GAD5 (restlessness), PHQ3 (sleep problems) Bridge symptoms, including problems), PSQI5 disturbances), (restlessness) link anxiety communities. TRSS1 (family’s negative perception) community exhibited highest betweenness second network, highlighting mediating family support across insomnia psychological symptoms. Additionally, global strength invariance test indicates that gender, age education level do not significantly impact network structure. Conclusion Depression (anhedonia sleep (nervousness restlessness) primary concerns requiring intervention patients. In addition, problems act as a overall Stigma, perceptions family, may play crucial sustaining entire symptom Consequently, could represent potential targets for intervention.

Язык: Английский

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Predictors of Cardiovascular Symptoms Among Long COVID Patients: Data from the Polish Long COVID Cardiovascular (PoLoCOV-CVD) Study

Journal of Clinical Medicine, Год журнала: 2025, Номер 14(3), С. 956 - 956

Опубликована: Фев. 2, 2025

Background and aims: Long COVID symptoms persist globally, with a notable rise in cardiovascular disease (CVD) among COVID-19 survivors, including those without prior risk factors or hospitalizations. This study aims to identify predictors of cardiovascular-related symptoms. Methods: included subjects post-SARS-CoV-2 infections, categorizing them into three groups: non-Long (non-LC), (LC), (cardio-LC) as part the Polish Cardiovascular (PoLoCOV-CVD) collected between years 2020 2022, comprising 4000 participants. Chi-square tests logistic regression were used report prevalence determinants quality life cardio-LC, based on patient self-reported data comorbidities medications. Results: Of 704 patients analyzed, 71.9% female median age 54 (IQR: 45–64). Cardio-LC had statistically significant differences relative non-LC group terms blood pressure, elevated LDL cholesterol (p = 0.010), non-HDL 0.013). In addition, cardio-LC more likely be < 0.001) who exhibited psychological conditions, such sleep disturbances 0.001), anxiety depression compared group. However, multivariable analysis revealed that only gender remained an independent predictor associated (OR: 1.66, CI 1.12–2.46; OR: 1.742, 1.12–2.70) participants COVID. Conclusions: The positive association complications during highlights critical demographic deserve attention clinical practice.

Язык: Английский

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Cardiac symptoms in patients 3–6 months after contracting COVID-19– data from the polish STOP-COVID registry

BMC Infectious Diseases, Год журнала: 2025, Номер 25(1)

Опубликована: Апрель 9, 2025

Abstract Background Common complaints of long COVID patients are cardiac symptoms such as fatigue, weakness, and a feeling palpitations. The study aimed to investigate the clinical features with persistent cardiological occurring within 3 6 months after COVID-19. Differences in ambulatory blood pressure monitoring (ABPM), Holter ECG (electrocardiogram) Echocardiography between people without were evaluated. We also assessed whether anxiety depression may be implicated outcomes. Materials methods This was retrospective affiliated STOP-COVID registry who attended follow-up visit 3–6 undergoing present performed tests: ABPM, Echocardiography. 504 additionally had GAD-2 (Generalized Anxiety Disorder 2-item) PHQ-2 (Patient Health Questionnaire-2) tests performed. Results analysis included 1080 patients. At least 1 analyzed 586 (54.3%). most common symptom fatigue (38.9%). Comparing or palpitations showed that mean value ventricular extrasystole higher former group ( p = 0.011). symptoms, there differences values 0.022) < 0.001) scales, well percentage responses related risk depression. Conclusion Cardiological among health issues must face contracting People more excessive extrasystoles than these symptoms. Trial registration Our based on medical data COVID-19 treated out-patient basis Polish Long-Covid Cardiovascular (PoLoCOV-CVD) (ClinicalTrials.gov identifier– NCT05018052, date 29.05.2020). Consent conduct obtained from Bioethics Committee District Medical Chamber Lodz (no. KB-0115/2021).

Язык: Английский

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Anxiety, depression, and post-traumatic stress disorder in nurses exposed to horizontal violence: a network analysis

BMC Nursing, Год журнала: 2024, Номер 23(1)

Опубликована: Окт. 14, 2024

Horizontal violence can cause serious mental health problems for nurses, particularly anxiety, depression, and post-traumatic stress disorder. However, the intrinsic linkage mechanism between symptoms of disorder in nurses exposed to horizontal is unclear. This study aims elucidate characteristics networks among with exposure. Data this cross-sectional were obtained from baseline portion a short longitudinal survey conducted at four tertiary hospitals Shandong Province, China. A total 510 exposure completed General Information Scale, Negative Acts Questionnaire, Seven-item Generalized Anxiety Disorder Nine-item Patient Health Four-item SPAN. The network model was constructed using analysis. expected influence bridge nodes calculated. stability accuracy estimated. results show that A4 (Trouble relaxing) P1 (Startle) had highest network. D9 (Suicidality ideation) A5 (Restlessness) key symptoms. "Trouble relaxing", "Startle", "Suicidality ideation", "Restlessness" are all need be urgently improved most violence. Nursing administrators policymakers should implement intervention programs these as early possible maximize nurses' health.

Язык: Английский

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The relation between mental health and career-related stress among prospective graduates in higher education stage during the COVID-19 pandemic: an evidence based on network analysis

Frontiers in Psychology, Год журнала: 2024, Номер 15

Опубликована: Июль 8, 2024

Introduction The outbreak of the COVID-19 pandemic has disrupted people’s routine, bringing uncertainty and stress, leading to mental health issues. This situation is particularly acute among Chinese prospective graduates in higher education stage as they cannot predict outcomes their studies, graduation, career development, therefore experience career-related stress. Methods study included 4041 (using handy sampling) recruited March 2020 participants (M Age = 22.56, SD 1.865), utilizing a Sparse Gaussian Graphical Model for regularized partial correlation network analysis depression symptoms (by PHQ-9), anxiety GAD-7), which aims explore role stress symptom networks final semester. Results results revealed that fatigue, sad mood, psychomotor depression, well uncontrollable worry trouble relaxing anxiety, were central network. Additionally, mood guilt belonging depressive symptoms, feeling afraid, restlessness, irritability served bridge connecting communities. Specifically, showed strong association with employment There no significant differences structure global strength based on participants’ gender. However, despite structure, from Wuhan was significantly lower than samples non-Hubei provinces, possibly indicative Typhoon Eye Effect. Discussion findings this can inspire psychological professionals institutions provide support interventions therapies graduates, addressing development

Язык: Английский

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Unraveling the Complex Web of Long COVID symptoms: A Network Analysis Approach

Опубликована: Апрель 12, 2024

Long COVID is a syndrome of persistent symptoms following COVID-19 infection. With over 200 identified and ongoing debate about the central this condition, study aimed to explore network structure self-reported long symptoms. Participants with after infection (n=458 , Mage = 36.0±11.9; 46.5% male) indicated prevalence severity their using comprehensive 114-item symptom list spanning across 10 health domains. Correlation regularized partial correlation analyses were performed examine interrelatedness focusing on listed in international guidelines those at least 20% our sample. Replication second dataset from representative Dutch sample (n=415). We find that some are closely interconnected (e.g., congestion neurocognitive symptoms), whereas others fatigue dizziness) more dispersed between clusters. Centrality indices most common mentioned not necessarily networks. These findings largely replicated dataset. The provides visualization wide array symptoms, revealing it as diverse marked by different clusters loosely connected Although explorative, results can be informative for potential pathogenic pathways involved may inform future research clinical interventions.

Язык: Английский

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NRICM101 in combatting COVID-19 induced brain fog: Neuroprotective effects and neurovascular integrity preservation in hACE2 mice

Journal of Traditional and Complementary Medicine, Год журнала: 2024, Номер 15(1), С. 36 - 50

Опубликована: Июль 3, 2024

Amidst growing concerns over COVID-19 aftereffects like fatigue and cognitive issues, NRICM101, a traditional Chinese medicine, has shown promise. Used by 2 million people globally, it notably reduces hospitalizations intubations in patients. To explore whether NRICM101 could combat brain fog, we tested on hACE2 transgenic mice administered the S1 protein of SARS-CoV-2, aiming to mitigate S1-induced issues measuring animal behaviors, immunohistochemistry (IHC) staining, next-generation sequencing (NGS) analysis. The study revealed that protein-administered displayed marked signs characterized reduced learning, memory, nesting abilities. However, treatment these animals ameliorated all functions. administration induced notable inflammation, leading death neurons (NeuN+) neural stem cells (DCX+) mice. This was accompanied heightened microglia activation (IBA1+/CD68+), increased cytokine production (IL1β, IL6), induction neutrophil extracellular traps (NET), inflammation (NLRP3, CD11b), platelet (CD31, vWF) complement (C3) activation, ultimately damaging neurovasculature disrupting blood-brain barrier (B.B.B.). Administration effectively alleviated pathological changes. In conclusion, potential prevent COVID-19-associated fog bolstering neurovascular integrity protecting cells. is achieved inhibition protein-induced which turn leads prevention damage subsequent neurons.

Язык: Английский

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