Project description:The extant theories on the quality and stability of marital relationships have some difficulties in explaining some of the complexities of marital behaviors. The present article is an initial attempt to explain the complexities of marital behaviors based on the science of complexity and neuroscience. This article proposes a new theoretical framework relying on this simple argument that marital behaviors, as one of the most complex human behaviors, are the product of one's brain's complex adaptive system (CAS). Hence, to understand the complexities of marital behaviors, a movement toward familiarity with the brain's CAS involved in marital behaviors needs to be started. The article presents the theory of brain complexity and marital behaviors (BCM) and outlines its assumptions, concepts, and propositions. Then, BCM is compared with the extant theories on happy and stable marriage, and finally, it was concluded by discussing the testability and the potential application of the theory. This article might inspire interdisciplinary studies of marital relationships, complex systems, and neuroscience and may have considerable practical implications.
Project description:IntroductionConsidering the traditional Confucian values prevalent in Chinese society, we study the effects of the spouses' personalities and household sociodemographic circumstances on the marital satisfaction of marriage partners.MethodsWe evaluate the factors that contribute to marital satisfaction, using the 2018 wave of the Chinese Family Panel Survey, including 6,603 households. We use information on both spouses' Big-Five personality traits, and marital satisfaction. In addition, the effects of the household's sociodemographic factors on the spouses' marital satisfaction are estimated. We employ the Actor-Partner Interdependence Model to estimate the effects, using simultaneous equation modeling.ResultsWe find significant actor effects of personality, i.e., agreeableness, openness, conscientiousness, and extroversion, but few partner effects on marital satisfaction. In addition to other socioeconomic effects, we find strong actor effects of subjective social status on marital satisfaction for both spouses. The wife's level of education had a negative effect on her marital satisfaction.DiscussionThe effects of the spouses' personalities and sociodemographic circumstances on their marital satisfaction fit the Confucian values fostered in China. The wife's double burden of having a job and taking care of household duties, negatively affecting her marital satisfaction, may be alleviated by proper government policies.
Project description:While China has decreasing female labor participation and increasing marital instability, compared to the rest of the world, its female labor participation rate is higher on average. The effect of female labor force status on couples' marital satisfaction, as one of the main factors for evaluating marital quality, has been separately discussed, including extensive margins considering whether women are in the labor market and intensive margins on women working hours per week. This study analyzed data from the 2014 China Family Panel Studies (CFPS) using a binary logit model and a stability test. Results showed that the work hours, rather than the occupational status, of women affect marital satisfaction. In addition, regardless of the gender role attitudes held by the couple, marital satisfaction increases when women are in the labor market. This study has retroactively reviewed the effects of women working outside the home on marital quality. The dual roles of Chinese women, as both employee and homemaker, have been socially accepted. However, the requirements of maintaining multiple roles often contradict and present conflicts among the roles, time, and pressure, in the long run, giving rise to marital dissatisfaction.
Project description:ObjectiveWest Virginia's (WV) suicide rate is 50% higher than the national average and is the highest in the Appalachian Region. Appalachia has several social factors that have contributed to greater socioeconomic deprivation, a known contributor of suicide. Given WV's high prevalence of suicide and poverty, the current study aims to examine the relationship between socioeconomic deprivation and suicide rates in WV.MethodsThe Townsend Deprivation Index (TDI), Social Deprivation Index (SDI), and Social Vulnerability Index (SVI) measured socioeconomic deprivation. Negative binomial regression models assessed the relationship between socioeconomic deprivation scores, individual index items, and suicide rates. Model comparisons evaluated the indices' ability to assess suicide rates. A backward selection strategy identified additional key items for examining suicide rates.ResultsThere was a significant increase in suicide rates for every 10% increase in TDI (β = 0.04; p < 0.01), SDI (β = 0.03; p = 0.04), and SVI scores (β = 0.05; p < 0.01). Household overcrowding and unemployment had a positive linear relationship with suicide in TDI (β = 0.04, p = 0.02; β = 0.07, p = 0.01), SDI (β = 0.10, p = 0.02; β = 0.01, p<0.01), and the SVI (β = 0.10, p = 0.02; β = 0.03, p<0.01). The backwards selection strategy identified additional key items included by the SVI when assessing suicide.ConclusionGreater socioeconomic deprivation, measured by the TDI, SDI, and SVI, was significantly associated with higher suicide rates. Expanding unemployment benefits and increasing the availability of affordable housing, especially in rural areas, may be useful in reducing suicide rates. Our results suggest racial and ethnic minorities and adults living with a disability may benefit from targeted suicide prevention strategies.
Project description:ImportanceScreening adolescents in emergency departments (EDs) for suicidal risk is a recommended strategy for suicide prevention. Comparing screening measures on predictive validity could guide ED clinicians in choosing a screening tool.ObjectiveTo compare the Ask Suicide-Screening Questions (ASQ) instrument with the Computerized Adaptive Screen for Suicidal Youth (CASSY) instrument for the prediction of suicidal behavior among adolescents seen in EDs, across demographic and clinical strata.Design, setting, and participantsThe Emergency Department Study for Teens at Risk for Suicide is a prospective, random-series, multicenter cohort study that recruited adolescents, oversampled for those with psychiatric symptoms, who presented to the ED from July 24, 2017, through October 29, 2018, with a 3-month follow-up to assess the occurrence of suicidal behavior. The study included 14 pediatric ED members of the Pediatric Emergency Care Applied Research Network and 1 Indian Health Service ED. Statistical analysis was performed from May 2021 through January 2023.Main outcomes and measuresThis study used a prediction model to assess outcomes. The primary outcome was suicide attempt (SA), and the secondary outcome was suicide-related visits to the ED or hospital within 3 months of baseline; both were assessed by an interviewer blinded to baseline information. The ASQ is a 4-item questionnaire that surveys suicidal ideation and lifetime SAs. A positive response or nonresponse on any item indicates suicidal risk. The CASSY is a computerized adaptive screening tool that always includes 3 ASQ items and a mean of 8 additional items. The CASSY's continuous outcome is the predicted probability of an SA.ResultsOf 6513 adolescents available, 4050 were enrolled, 3965 completed baseline assessments, and 2740 (1705 girls [62.2%]; mean [SD] age at enrollment, 15.0 [1.7] years; 469 Black participants [17.1%], 678 Hispanic participants [24.7%], and 1618 White participants [59.1%]) completed both screenings and follow-ups. The ASQ and the CASSY showed a similar sensitivity (0.951 [95% CI, 0.918-0.984] vs 0.945 [95% CI, 0.910-0.980]), specificity (0.588 [95% CI, 0.569-0.607] vs 0.643 [95% CI, 0.625-0.662]), positive predictive value (0.127 [95% CI, 0.109-0.146] vs 0.144 [95% CI, 0.123-0.165]), and negative predictive value (both 0.995 [95% CI, 0.991-0.998], respectively). Area under the receiver operating characteristic curve findings were similar among patients with physical symptoms (ASQ, 0.88 [95% CI, 0.81-0.95] vs CASSY, 0.94 [95% CI, 0.91-0.96]). Among patients with psychiatric symptoms, the CASSY performed better than the ASQ (0.72 [95% CI, 0.68-0.77] vs 0.57 [95% CI, 0.55-0.59], respectively).Conclusions and relevanceThis study suggests that both the ASQ and the CASSY are appropriate for universal screening of patients in pediatric EDs. For the small subset of patients with psychiatric symptoms, the CASSY shows greater predictive validity.
Project description:Although molecular mechanisms associated with the generation of mutations are highly conserved across taxa, there is widespread variation in mutation rates between evolutionary lineages. When phylogenies are reconstructed based on nucleotide sequences, such variation is typically accounted for by the assumption of a relaxed molecular clock, which is a statistical distribution of mutation rates without much underlying biological mechanism. Here, we propose that variation in accumulated mutations may be partly explained by an elevated mutation rate during speciation. Using simulations, we show how shifting mutations from branches to speciation events impacts inference of branching times in phylogenetic reconstruction. Furthermore, the resulting nucleotide alignments are better described by a relaxed than by a strict molecular clock. Thus, elevated mutation rates during speciation potentially explain part of the variation in substitution rates that is observed across the tree of life. [Molecular clock; phylogenetic reconstruction; speciation; substitution rate variation.].
Project description:Introduction. Suicide has become a serious worldwide epidemic. Early detection of individual suicide risk in population is important for reducing suicide rates. Traditional methods are ineffective in identifying suicide risk in time, suggesting a need for novel techniques. This paper proposes to detect suicide risk on social media using a Chinese suicide dictionary. Methods. To build the Chinese suicide dictionary, eight researchers were recruited to select initial words from 4,653 posts published on Sina Weibo (the largest social media service provider in China) and two Chinese sentiment dictionaries (HowNet and NTUSD). Then, another three researchers were recruited to filter out irrelevant words. Finally, remaining words were further expanded using a corpus-based method. After building the Chinese suicide dictionary, we tested its performance in identifying suicide risk on Weibo. First, we made a comparison of the performance in both detecting suicidal expression in Weibo posts and evaluating individual levels of suicide risk between the dictionary-based identifications and the expert ratings. Second, to differentiate between individuals with high and non-high scores on self-rating measure of suicide risk (Suicidal Possibility Scale, SPS), we built Support Vector Machines (SVM) models on the Chinese suicide dictionary and the Simplified Chinese Linguistic Inquiry and Word Count (SCLIWC) program, respectively. After that, we made a comparison of the classification performance between two types of SVM models. Results and Discussion. Dictionary-based identifications were significantly correlated with expert ratings in terms of both detecting suicidal expression (r = 0.507) and evaluating individual suicide risk (r = 0.455). For the differentiation between individuals with high and non-high scores on SPS, the Chinese suicide dictionary (t1: F 1 = 0.48; t2: F 1 = 0.56) produced a more accurate identification than SCLIWC (t1: F 1 = 0.41; t2: F 1 = 0.48) on different observation windows. Conclusions. This paper confirms that, using social media, it is possible to implement real-time monitoring individual suicide risk in population. Results of this study may be useful to improve Chinese suicide prevention programs and may be insightful for other countries.
Project description:ObjectiveThis study aimed to examine the association between negative life events (NLEs) and attempted suicide in rural China.MethodsSix rural counties were selected from disease surveillance points in Shandong province, China. A total of 409 suicide attempters in rural areas between October 1, 2009, and March 31, 2011, and an equal number of matched controls were interviewed. We compared negative life events experienced within 1 month, 1-3 months, 3-6 months, and 6-2 months prior to attempted suicide for cases and prior to interview for controls. We used multivariate logistic regression to examine the association between NLEs and attempted suicide.ResultsSuicide attempters experienced more NLEs within the last year prior to suicide attempt than controls prior to interview (83.1% vs. 33.5%). There was a significant dose-response relationship between NLEs experienced within the last year and increased risk of attempted suicide. Timing of NLEs analysis showed that NLEs experienced in the last month and 6-12 months prior to suicide attempt were significantly associated with elevated risk of attempted suicide, even after adjusting for mental disorders and demographic factors. Of NLEs, quarrelling with spouse, quarrelling with other family members, conflicting with friends or neighbors, family financial difficulty, and serious illness were independently related to attempted suicide.ConclusionNLEs are significantly associated with increased risk for attempted suicide in rural China. Stress management and intervention may be important to prevent suicidal behavior in rural China.
Project description:No study has evaluated whether subnormal estimated glomerular filtration rate (eGFR) (between 61 and 90 mL/min) and high normal albumin-creatinine ratio (ACR) (<30 mg/g) are associated with cardiovascular (CV) events and mortality in type 2 diabetic (T2DM) patients with normoalbuminuria.We observed a longitudinal cohort study of 1291 T2DM patients with normoalbuminuria who were receiving intensified multifactorial treatment from 2004 to 2008. Cox regression models were used to evaluate eGFR and ACR as the risk factors of major CV events (nonfatal myocardial infarction and stroke) and mortality.During the 4-year period, 56 patients died and 159 patients developed major CV events. We found eGFR, but not ACR, to be associated with major CV events. Compared to those with eGFR higher than 90 mL/min, patients with subnormal eGFR (HR: 3.133, 1.402-7.002, P = 0.005) were at greater risk of incident major CV events. Extremely low eGFR (<30 mL/min) was associated with mortality only in patients under 65 years old.Subnormal eGFR was a strong predictor of major CV events in diabetic patients with normoalbuminuria. Normoalbuminuric diabetic patients with subnormal eGFR may need intensive CV risk factor intervention to prevent and treat CV events.
Project description:The effect of resting heart rate (RHR) on the heart rate (HR) dynamics and parasympathetic modulation at rest, exercise, and recovery remain to be clarified. This study compares HR and parasympathetic responses at rest, during submaximal exercise testing and recovery in young, physically active men with different RHR average values. HR and parasympathetic responses were compared between two groups: bradycardia group-RHR < 60 bpm (BG, n = 20) and normocardia group-RHR ≥ 60 ≤ 100 bpm (NG, n = 20). A Polar RS800® was used to record the RR-interval series and HR at rest in the supine position, following the postural change (from supine to orthostatic position) and in the orthostatic position for 5 minutes, as well as during and after a submaximal exercise testing. Statistical analysis employed the MANOVA, Mann-Whitney, and Simple Linear regression test with a two-tailed p-value set at ≤ 0.05. BG at rest showed lower HR in the orthostatic position, higher parasympathetic activity in the supine and orthostatic positions, and higher parasympathetic reactivity than NG (p ≤ 0.01) after the postural change. BG before exercise showed lower HR and higher values of the chronotropic reserve and parasympathetic withdrawal than NG (p ≤ 0.01) throughout the exercise. Following the exercise, BG showed higher values of HR recovery (HRR) and parasympathetic reactivation in the 3rd and 5th minutes of recovery than NG (p ≤ 0.01). Lastly, the RHR can explain the variance of the HR at rest, during exercise testing, and recovery from 11 to 48%. We concluded that BG (RHR < 60 bpm) showed higher chronotropic and parasympathetic modulation at rest, higher chronotropic reserve, parasympathetic withdrawal during the submaximal exercise test, and faster HRR and parasympathetic reactivation after effort in young physically active men.