Tag: statistics

Psychiatriki. 2023 Sep 29. doi: 10.22365/jpsych.2023.022. Online ahead of print.

ABSTRACT

Despite its significant decline in the general population, smoking remains endemic and highly prevalent among people with mental disorders. The impact of smoking-attributable morbidity on life expectancy is significant since, in comparison to the general population, people with severe mental disorders have a 15-20-year reduction in life expectancy. A cross-sectional study was conducted among 1015 people with mental disorders through personal interviews. The questionnaire was designed to examine these patients’ knowledge, perceptions, and attitudes towards smoking. Individuals were recruited from the mental health residential community services, the outpatient department, and the inpatient facilities of the Psychiatric Hospital of Attica. Statistical analysis was performed using SPSS 26.0. In the sample analyzed, the current-smoking prevalence stood at 68.4% (n=643), while 12.3% reported being former smokers. A staggering 86.3% smoked their first cigarette within 30 minutes of waking up, indicating a high level of dependence. Most of the former smokers (83.6%) reported that their main reason for quitting smoking was to improve their health, and the overwhelming majority (97.4%) had done so using no smoking cessation aid. Although slightly over half of the participants (53.7%) believed that health professionals adequately inform smokers about the harmful health effects of tobacco products, the information provided by health professionals on smoking cessation programs and tobacco harm reduction alternatives was considered sufficient by a mere 11.2%. Multiple logistic regression analysis demonstrated that outpatients tended to have a greater likelihood of being current smokers as compared to inpatients (OR=1.45), while users of mental health residential community services showed a significantly lower likelihood of being current smokers in comparison to inpatients (OR=0.49). Additionally, it was found that women had a lower likelihood of being current smokers compared to men (OR=0.51), while divorced/ widowed participants had a greater likelihood of being current smokers compared to single ones (OR=1.93). Finally, multiple regression analysis indicated that participants with psychotic disorders displayed a 2.39 times greater likelihood of being current smokers compared to those with mood disorders (OR=2.39). Understanding the knowledge, beliefs, and attitudes of people with mental disorders towards tobacco is an essential first step to confronting this neglected epidemic.

PMID:37793036 | DOI:10.22365/jpsych.2023.022

J Chem Theory Comput. 2023 Oct 4. doi: 10.1021/acs.jctc.3c00571. Online ahead of print.

ABSTRACT

Most electrochemical reactions should be studied under a grand canonical ensemble condition with a constant potential and/or a constant pH value. Free energy profiles provide key insights into understanding the reaction mechanisms. However, many molecular dynamics (MD)-based theoretical studies for electrochemical reactions did not employ an exact grand canonical ensemble sampling scheme for the free energy calculations, partially due to the issues of discontinuous trajectories induced by the particle-number variations during MD simulations. An alternative statistical sampling approach, the Monte Carlo (MC) method, is naturally appropriate for the open-system simulations if we focus on the thermodynamic properties. An advanced MC scheme, the hybrid Monte Carlo (HMC) method, which can efficiently sample the configurations of a system with large degrees of freedom, however, has limitations in the constrained-sampling applications. In this work, we propose an adjusted constrained HMC method to compute free energy profiles using the thermodynamic integration (TI) method. The key idea of the method for handling the constraint in TI is to integrate the reaction coordinate and sample the rest degrees of freedom by two types of MC schemes, the HMC scheme and the Metropolis algorithm with unbiased trials (M(RT)²-UB). We test the proposed method on three different systems involving two kinds of reaction coordinates, which are the distance between two particles and the difference of particles’ distances, and compare the results to those generated by the constrained M(RT)²-UB method serving as benchmarks. We show that our proposed method has the advantages of high sampling efficiency and convenience of implementation, and the accuracy is justified as well. In addition, we show in the third test system that the proposed constrained HMC method can be combined with the path integral method to consider the nuclear quantum effects, indicating a broader application scenario of the sampling method reported in this work.

PMID:37793028 | DOI:10.1021/acs.jctc.3c00571

J Phys Chem A. 2023 Oct 4. doi: 10.1021/acs.jpca.3c04993. Online ahead of print.

ABSTRACT

In the present work, a new statistical theory is developed to describe adsorption and desorption in mesoporous materials (pore sizes ranging from 2 to 50 nm) represented by pore networks in the form of Bethe lattices. The new theory is an extension of a previous theory applied for Statistically Disordered Chain Model (SDCM) structures and incorporates the cooperative effects emerging during phase transitions in pore networks. The theory is validated against simulations and algorithmic models that describe sorption of lattice and real fluids in Bethe lattices. It is seen that the pore network coordination number, or pore connectivity, z, has a significant impact on two important processes observed in pore networks: pore assisting condensation during adsorption and evaporation by percolation during desorption. The inclusion of pore connectivity in the earlier developed framework accounting for cooperativity effects is an important step, rendering the existing models to mimic fluid behavior in real materials more accurately. Hence, the new theory inherently contains all essential elements that may offer the extraction of more reliable pore size distributions utilizing both the adsorption and desorption branches of the isotherm.

PMID:37793009 | DOI:10.1021/acs.jpca.3c04993

J Chin Med Assoc. 2023 Oct 4. doi: 10.1097/JCMA.0000000000001006. Online ahead of print.

ABSTRACT

BACKGROUND: Endometrial cancer is the most common gynecological cancer in developed countries. With recent advances in equipment and knowledge, minimally invasive surgery (MIS) is widely accepted for the treatment of endometrial cancer. This study had the largest number of cases to date in Taiwan, comparing outcomes between MIS and laparotomy staging surgery using real-world data with long-term follow up.

METHODS: We retrospectively reviewed patients with clinical stage 1 endometrial cancer from 2009 to 2020 in our institute. All patients underwent comprehensive surgical staging procedures by MIS or laparotomy. The safety, morbidity, progression-free survival, and overall survival rates of the two groups were compared. Clinical and pathologic factors were compared with Chi-square and Fisher’s Exact Test. Progression-free (PFS) and overall survival (OS) were estimated by the Kaplan-Meier method. Differences between survival curves were analyzed using the log-rank test. A p-value less than 0.05 was considered statistically significant. Using Cox proportional hazards models, all factors found to be significantly associated with risk of recurrence on univariate analyses were then assessed together through multivariable models, resulting in a final oncologic outcome between MIS and laparotomy.

RESULTS: 665 cases (412 cases in MIS group and 253 cases in laparotomy group) were enrolled for data analysis. Median operation time was shorter in MIS group (244 and 265 minutes, p<0.001). Median blood loss was also less (75 and 430 mL, p<0.001). Median postoperative hospitalization duration was longer in the laparotomy group (2 and 7 days, p=0.001). After adjusting pre-surgery risk factors, the PFS and OS were no significant difference in MIS and laparotomy groups.

CONCLUSION: Using real-world data with long-term follow up, we could confirm excellent PFS and OS in selective patients with clinical stage 1 endometrial carcinoma who received MIS, and the surgical time, hospital day and blood loss were also less.

PMID:37792993 | DOI:10.1097/JCMA.0000000000001006

Sci Adv. 2023 Oct 6;9(40):eadh0761. doi: 10.1126/sciadv.adh0761. Epub 2023 Oct 4.

ABSTRACT

Laboratory evidence suggests a possibility of immune imprinting for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We investigated the differences in the incidence of SARS-CoV-2 reinfection in a cohort of persons who had a primary Omicron infection, but different vaccination histories using matched, national, retrospective, cohort studies. Adjusted hazard ratio for reinfection incidence, factoring adjustment for differences in testing rate, was 0.43 [95% confidence interval (CI): 0.39 to 0.49] comparing history of two-dose vaccination to no vaccination, 1.47 (95% CI: 1.23 to 1.76) comparing history of three-dose vaccination to two-dose vaccination, and 0.57 (95% CI: 0.48 to 0.68) comparing history of three-dose vaccination to no vaccination. Divergence in cumulative incidence curves increased markedly when the incidence was dominated by BA.4/BA.5 and BA.2.75* Omicron subvariants. The history of primary-series vaccination enhanced immune protection against Omicron reinfection, but history of booster vaccination compromised protection against Omicron reinfection. These findings do not undermine the public health utility of booster vaccination.

PMID:37792951 | DOI:10.1126/sciadv.adh0761

Sci Adv. 2023 Oct 6;9(40):eadd9973. doi: 10.1126/sciadv.add9973. Epub 2023 Oct 4.

ABSTRACT

The Amazon rainforest is threatened by land-use change and increasing drought and fire frequency. Studies suggest an abrupt dieback of large parts of the rainforest after partial forest loss, but the critical threshold, underlying mechanisms, and possible impacts of forest degradation on the monsoon circulation remain uncertain. Here, we use a nonlinear dynamical model of the moisture transport and recycling across the Amazon to identify several precursor signals for a critical transition in the coupled atmosphere-vegetation dynamics. Guided by our simulations, we reveal both statistical and physical precursor signals of an approaching critical transition in reanalysis and observational data. In accordance with our model results, we attribute these characteristic precursor signals to the nearing of a critical transition of the coupled Amazon atmosphere-vegetation system induced by forest loss due to deforestation, droughts, and fires. The transition would lead to substantially drier conditions, under which the rainforest could likely not be maintained.

PMID:37792950 | DOI:10.1126/sciadv.add9973

Sci Adv. 2023 Oct 6;9(40):eadk5668. doi: 10.1126/sciadv.adk5668. Epub 2023 Oct 4.

ABSTRACT

People with booster vaccinations appear more prone to reinfection than those with primary series vaccination only; however, selection bias in the study design complicates interpretation.

PMID:37792936 | DOI:10.1126/sciadv.adk5668

J Child Psychol Psychiatry. 2023 Oct 4. doi: 10.1111/jcpp.13895. Online ahead of print.

ABSTRACT

BACKGROUND: Stress is a universal phenomenon and one of the most common precipitants of insomnia. However, not everyone develops insomnia after experiencing a stressful life event. This study aims to test aspects of Spielman’s ‘3P model of insomnia’ (during adolescence) by exploring the extent to which: (a) insomnia symptoms are predicted by polygenic scores (PGS); (b) life events predict insomnia symptoms; (c) the interaction between PGS and life events contribute to the prediction of insomnia symptoms; (d) gene-environment interaction effects remain after controlling for sex.

METHODS: The sample comprised 4,629 twins aged 16 from the Twin Early Development Study who reported on their insomnia symptoms and life events. PGS for insomnia were calculated. In order to test the main hypothesis of this study (a significant interaction between PGS and negative life events), we fitted a series of mixed effect regressions.

RESULTS: The best fit was provided by the model including sex, PGS for insomnia, negative life events, and their interactions (AIC = 26,158.7). Our results show that the association between insomnia symptoms and negative life events is stronger for those with a higher genetic risk for insomnia.

CONCLUSIONS: This work sheds light on the complex relationship between genetic and environmental factors implicated for insomnia. This study has tested for the first time the interaction between genetic predisposition (PGS) for insomnia and environmental stressors (negative life events) in adolescents. This work represents a direct test of components of Spielman’s 3P model for insomnia which is supported by our results.

PMID:37792459 | DOI:10.1111/jcpp.13895

J Med Internet Res. 2023 Oct 4;25:e48750. doi: 10.2196/48750.

ABSTRACT

BACKGROUND: Depression and anxiety are common comorbidities in cardiovascular clinic outpatients. Timely identification and intervention of these mental and psychological disorders can contribute to correct diagnosis, better prognosis, less medical expenses, and improved quality of life. The convenience of online doctor-patient communication platforms has increasingly attracted patients to online consultations. However, online health care and offline health care are very different. Research on how to identify psychological disorders in patients who engage in an online cardiology consultation is lacking.

OBJECTIVE: This study aimed to explore the feasibility of using a self-rating scale to assess mental illness among patients who consult with a cardiologist online and to compare the differences in anxiety and depression between online and offline patients.

METHODS: From June 2022 to July 2022, we conducted follow-up visits with 10,173 patients on the Haodf platform. We conducted detailed consultations with 286 patients who visited the same cardiologist in the outpatient department. We used the self-rated Generalized Anxiety Disorder (GAD-7) and Patient Health Questionnaire (PHQ-9) scales to assess anxiety and depression, respectively. We analyzed the influencing factors related to the degree of coordination of online patients. We also compared the prevalence of anxiety or depression between online and offline patients and analyzed the factors related to anxiety or depression.

RESULTS: Of the 10,173 online consultation patients, only 186 (1.8%) responded effectively. The response rate of the offline consultation patients was 96.5% (276/286). Frequent online communication and watching live video broadcasts were significantly related to effective responses from online patients (P<.001). The prevalence of anxiety (70/160, 43.7% vs 69/266, 25.8%; P<.001) or depression (78/160, 48.7% vs 74/266, 27.7%; P<.001) in online consultation patients was significantly higher than that in offline patients. In bivariate analyses, the factors related to anxiety included female sex, unemployment, no confirmed cardiovascular disease, and the online consultation mode, while smokers and those who underwent COVID-19 quarantine were less likely to present with anxiety. The factors related to depression included female sex, divorced or separated individuals, and the online consultation mode. COVID-19 quarantine was related with a lower likelihood of depression. BMI was negatively correlated with depression. In multiple ordered logistic regression analysis, women were more likely than men to present with anxiety (odds ratio [OR] 2.181, 95% CI 1.365-3.486; P=.001). Women (OR 1.664, 95% CI 1.082-2.559; P=.02) and online patients (OR 2.631, 95% CI 1.305-5.304; P=.007) were more likely to have depression.

CONCLUSIONS: Online patients had more anxiety or depression than offline patients. Anxiety was more prevalent in women, the unemployed, and those without confirmed cardiovascular disease. Women and divorced or separated individuals were more prone to depression. Increasing the frequency of doctor-patient communication and participating in video interactions can help improve patient cooperation.

PMID:37792455 | DOI:10.2196/48750

Epileptic Disord. 2023 Oct 4. doi: 10.1002/epd2.20165. Online ahead of print.

ABSTRACT

OBJECTIVE: In the presurgical evaluation of patients with drug-resistant epilepsy (DRE), occasionally, patients do not experience spontaneous typical seizures (STS) during a stereo-electroencephalography (SEEG) study, which limits its effectiveness. We sought to identify risk factors for patients who did not have STS during SEEG and to analyze the clinical outcomes for this particular set of patients.

METHODS: We conducted a retrospective analysis of all patients with DRE who underwent depth electrode implantation and SEEG recordings between January 2013 and December 2018.

RESULTS: SEEG was performed in 155 cases during this period. Eleven (7.2%) did not experience any clinical seizures (non-STS group), while 143 experienced at least one patient-typical seizure during admission (STS group). No significant differences were found between STS and non-STS groups in terms of patient demographics, lesional/non-lesional epilepsy ratio, pre-SEEG seizure frequency, number of ASMs used, electrographic seizures or postoperative seizure outcome in those who underwent resective surgery. Statistically significant differences were found in the average number of electrodes implanted (7.0 in the non-STS group vs. 10.2 in STS), days in Epilepsy Monitoring Unit (21.8 vs. 12.8 days) and the number of cases that underwent resective surgery following SEEG (27.3% vs 60.8%), respectively. The three non-STS patients (30%) who underwent surgery, all had their typical seizures triggered during ECS studies. Three cases were found to have psychogenic non-epileptic seizures. None of the patients in the non-STS group were offered neurostimulation devices. Five of the non-STS patients experienced transient seizure improvement following SEEG.

CONCLUSION: We were unable to identify any factors that predicted lack of seizures during SEEG recordings. Resective surgery was only offered in cases where ECS studies replicated patient-typical seizures. Larger data sets are required to be able to identify factors that predict which patients will fail to develop seizures during SEEG.

PMID:37792454 | DOI:10.1002/epd2.20165