BMC Psychiatry最新文献

Background: Olfactory function is closely related to mood and the endocrine system. However, the role of olfactory function in bipolar disorder combined with metabolic syndrome remains unclear. The purpose of this study was to explore the associations among olfactory function, tumor necrosis factor alpha (TNF-α), and metabolic syndrome and its components in patients with bipolar disorder.

Methods: Ninety-six bipolar disorder patients were divided into two groups with and without metabolic syndrome. We also included 46 healthy controls. Olfactory function was assessed using the Sniffin' Sticks test. Blood samples were collected to measure metabolic indicators and serum TNF-α levels.

Results: Significant differences in olfactory function were found among the three groups. Compared with the healthy controls, the bipolar disorder without metabolic syndrome group showed poorer olfactory identification ability (P < 0.001) and the bipolar disorder with metabolic syndrome group showed impaired olfactory sensitivity (P = 0.003) and olfactory identification (P < 0.001). Moreover, the bipolar disorder with metabolic syndrome group had poorer olfactory identification ability than the bipolar disorder without metabolic syndrome group (P = 0.015). Both bipolar disorder groups showed lower TNF-α levels than healthy controls. However, there was no significant difference between the two patient groups. Correlation analysis showed that, in the bipolar disorder with metabolic syndrome group, olfactory identification was negatively correlated with systolic blood pressure (r = - 0.424, P = 0.031), and serum TNF-α level was negatively correlated with body mass index (BMI; r = - 0.398, P = 0.049), triglyceride (r = - 0.503, P = 0.010), total cholesterol (r = - 0.491, P = 0.013), low-density lipoprotein-cholesterol (r = - 0.491, P = 0.013), and high-density lipoprotein-cholesterol (r = - 0.454, P = 0.023).

Conclusions: The olfactory identification ability of patients with bipolar disorder is worse than that of healthy controls, and the occurrence of metabolic syndrome will further aggravate the olfactory identification impairment of those patients. Furthermore, there may be a stronger link between serum TNF-α level and multiple metabolic indicators in bipolar disorder patients with metabolic syndrome than in bipolar disorder patients without metabolic syndrome.

Background: Type 2 diabetes (T2D) is a chronic metabolic disorder that has a notable influence on mental well-being, contributing to elevated morbidity and mortality rates. Depression and anxiety disorders are the most common mental health concerns among patients with T2D worldwide. Therefore, the present study aimed to assess the impact of an online intensive lifestyle intervention (ILI) on mental health outcomes (depression and anxiety) in patients with T2D in India.

Materials and methods: This retrospective pre-post analysis included adult patients (aged > 18 years) diagnosed with T2D who were enrolled in a diabetes management program in India between June 2021 and June 2023. The intervention consisted of lifestyle modifications such as a customized plant-based diet, regular physical activity, psychological support through group and individual therapy, and medical management. Data were extracted from the electronic database of the clinic, including anthropometry, medical history, biochemical parameters, symptoms of depression, and anxiety (assessed using the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorders-7 (GAD-7) scale) at the start and end of the six-month intervention period.

Results: Of the 1061 eligible patients (177 with prediabetes), 40.3% were female. The mean age, duration of diabetes, and HbA1c levels were 52 ± 10.4 years, 9.8 ± 7.8 years, and 8 ± 1.7%, respectively. The prevalence of symptoms of depression and anxiety (ranging from mild to severe) was 46% and 44.3%, respectively, which reduced to 28.7% and 29.2%, respectively, post-intervention.

Conclusion: Integrated ILI successfully improved the symptoms of anxiety and depression, highlighting the importance of a multidisciplinary approach that includes diet, physical activity, psychological support, and medical management in enhancing mental health outcomes among patients with T2D. Future prospective studies are needed to explore the long-term effects of such interventions and develop effective strategies for promoting mental health in diverse populations.

Trial registration: The study was approved by the Freedom from Diabetes Research Foundation Institutional Ethics Committee (approval number FFDRF/IEC/2024/7) and registered in the Clinical Trials Registry of India (CTRI/2024/03/064596, registered on March 21, 2024).

Background: Resilience is a protective feature against anxiety and depression disorders. However, the precise relationship and structure of resilience and anxiety and depression remain poorly understood. This study sought to investigate the link among resilience' components and anxiety as well as depression.

Methods: 1,279 clinical nurses were recruited. 10-item Connor-Davidson Resilience Scale, Generalized Anxiety Disorder 7, and Patient Health Questionnaire 9 were employed to evaluate resilience, anxiety, and depression, respectively. The regularized partial-correlation network was generated utilizing data from cross-sectional survey and the bridge expected influence index was utilized to quantify bridge components.

Results: The rates of anxiety and depression within clinical nurses were 67.3% and 67.2%, accordingly. Four strongest bridge edges appeared in the resilience-anxiety network, like "Adapt to change"- "Fear that something might happen", and "Stay focused under pressure"- "Uncontrollable worry". Two strongest bridge edges appeared in the resilience-depression network, like "Adapt to change"- "Concentration difficulties" and "Stay focused under pressure"- "Fatigue". "Adapt to change" was recognized as bridging nodes in both the resilience-anxiety network and the resilience-depression network.

Conclusions: Interventions targeting the bridge component "Adapt to change" within resilience, may mitigate the intensity of anxiety and depression symptoms among clinical nurses.

Background and objective: Genetic polymorphism studies in families and twins indicated the heritability of depression. However, the association between genes with genetic polymorphism and depression provides various findings and remains unclear. Therefore, we conducted a systematic review and meta-analysis to determine the genes with their polymorphism associated with the symptomatic depression known as major depressive disorder (MDD).

Materials and methods: PubMed and Scopus were searched for relevant studies published before May 22, 2023 (1968-2023), and 62 were selected for this review. The study's bias risk was investigated using the Newcastle-Ottawa scale. Gene functional enrichment analysis was investigated for molecular function (MF) and biological process (BP) and pathways. A meta-analysis of the studied genes that were replicative in the same single nucleotide polymorphism was conducted using a random-effect model.

Results: The 49 genes involved in MDD were studied and engaged in several pathways, such as tryptophan metabolism or dopaminergic and serotonergic synapses. Based on gene overlapping in MF and BP, 13 genes with polymorphisms were identified as related to MDD. Most of them were only studied once. Solute carrier family 6 member 4 (SLC6A4) overlapping between MF and BP and brain-derived neurotrophic factor (BDNF) as unique to BP were replicative studied and used in the meta-analysis. The polymorphism of SLC6A4 SS and LS genotypes increased the occurrence of MDD development but not significantly [odd ratio (OR) = 1.39; 95% confidence interval (CI) = 0.87-2.22; P = 0.16 and OR = 1.13; 95% CI = 0.84-1.53; P = 0.42, respectively]. A similar result was observed for BDNF rs6265 GG (OR = 1.26; 95% CI = 0.78-2.06; P = 0.35) and BDNF rs6265 AA genotypes (OR = 1.12; 95% CI = 0.77-1.64; P = 0.56). These studies indicated low bias and significant heterogeneity.

Conclusion: At least 13 studied genes with polymorphisms were involved in MDD development according to MF and BP, but not significantly. These results suggest that MDD development risk factors might require genetic and other factors for interaction and induction.

Objectives: Sleep characteristics such as duration, continuity, and irregularity are associated with the risk of hypertension. This study aimed to investigate the association between sleep timing (including bedtime, wake-up time, and sleep midpoint) and the prevalence of hypertension.

Methods: Participants were selected from the Sleep Heart Health Study (n = 5504). Bedtime and wake-up times were assessed using sleep habit questionnaires. The sleep midpoint was calculated as the halfway point between the bedtime and wake-up time. Restricted cubic splines and logistic regression analyses were performed to explore the association between sleep timing and hypertension.

Results: A significant nonlinear association was observed between bedtime (P_overall<0.001; P_nonlinear<0.001), wake-up time (P_overall=0.024; P_nonlinear=0.076), sleep midpoint (P_overall=0.002; P_nonlinear=0.005), and the prevalence of hypertension after adjusting for potential confounders. Multivariable logistic regression showed that both late (> 12:00_AM and 23:01_PM to 12:00_AM) and early (≤ 22:00_PM) bedtimes were associated with an increased risk of hypertension compared to bedtimes between 22:01_PM and 23:00_PM. In addition, individuals with late (> 7:00_AM) and early (≤ 5:00_AM) wake-up times had a higher prevalence of hypertension than those with wake-up times ranging between 5:01_AM and 6:00_AM. Delaying the sleep midpoint (> 3:00_AM) was also associated with an increased risk of hypertension. Furthermore, no significant interaction effect was found in the subgroup analyses stratified by age, sex, or apnea-hypopnea index.

Conclusions: Our findings identified a nonlinear association between sleep timing and hypertension. Individuals with both early and late sleep timing had a high prevalence of hypertension.

Background: Depression, anxiety and high-sensitivity C-reactive protein (hs-CRP) are individually associated with poor prognosis in patients with coronary heart disease (CHD). However, the combined effects of depression with inflammation or anxiety with inflammation on the prognosis have been rarely explored.

Methods: This prospective cohort study included 414 patients diagnosed with CHD. The Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) were used to assess depression and anxiety. A score ≥ 5 points was defined as elevated depression or anxiety. High hs-CRP was defined as ≥ 3 mg/L. Follow-up was performed 2 years after the patients were discharged. The clinical results included noncardiac readmission, cardiac readmission, major cardiovascular events (MACEs), and composite events. The composite events included noncardiac readmission and MACEs. The Cox proportional hazard regression model was used to analyze the prognostic risk.

Results: After full adjustment, patients with elevated depression and high hs-CRP had a higher risk in predicting noncardiac readmission (hazard ratio (HR) = 3.87, 95% confidence interval (CI) = 1.10-9.02, p = 0.002) and composite events (HR = 1.93, 95% CI = 1.13-3.30, p = 0.016) than those with high hs-CRP alone. For the anxiety and hs-CRP group, high hs-CRP alone predicted a higher risk of noncardiac readmission (HR = 3.32, 95% CI = 1.57-7.03, p = 0.002) and composite events (HR = 1.75, 95% CI = 1.12-2.76, p = 0.015) than references. Elevated anxiety had no significant effects on all the endpoints. Furthermore, we didn't find interactions between depression and hs-CRP or anxiety and hs-CRP.

Conclusion: In patients with CHD, elevated depression with high hs-CRP was found to be significant in predicting the risk of noncardiac readmission and composite events. Early diagnosis and treatment of depression with inflammation are necessary in CHD patients.

Background: Gesture difficulties have been reported in later-born siblings of children with autism spectrum disorder (ASD). Careful observation of gesture development during the first two years of children at elevated likelihood (EL) of developing ASD may identify behavioral indicators that facilitate early diagnosis.

Methods: This study enrolled 47 EL infants and 27 low-likelihood (LL) infants to explore gesture developmental trajectories and the predictive value of gesture to expedite the early detection of core characteristics of ASD. Gesture frequency, communication function, and integration ability were observed and coded from a semi-structured assessment administered longitudinally across 9-19 months of age. We conducted the Autism Diagnostic Observation Schedule assessment at 18-19 months for ASD's core characteristics.

Results: The development of joint attention (JA) gestures was slower in the EL than in the LL group. The trajectories of the two groups began to diverge at 14-18 months. Children who reached the diagnostic cutoff point for ASD showed reductions in social interaction gestures at 12-13 months, in gestures integrated with any two communication skills (G-M) at 15-16 months; and in gestures integrated with eye contact (G-E) at 18-19 months. Overall gesture and G-M integration were associated with an overall ADOS communication and social interaction score.

Conclusions: The developmental trajectories of JA gestures of EL and LL children differed. G-M gestures represent early indicators that may be a predictor of ASD.

Background: The primary objective of this trial is to examine the mechanisms of time-restricted eating (TRE) as an adjunct to psychiatric care for people with bipolar disorder (BD) with sleep or circadian disruptions. This study builds on prior studies of circadian disruption in BD as well as growing evidence that TRE improves circadian functioning.

Methods: One-hundred fifty participants diagnosed with BD 1 or II will be recruited via advertising in the local community. Main inclusion criteria include: obtaining medical treatment for BD; current sleep or circadian problems; self-reported eating period of ≥ 12 h; no eating disorder or other health conditions that would hinder or limit the safety of following TRE; and not currently experiencing a mood episode, acute suicidality, psychosis, alcohol or substance use disorder. Participants will be asked to complete a baseline period in which daily food intake is logged online for two weeks. After baseline, participants will be asked to follow TRE for 8 weeks and to continue to complete daily food logging during this time. Symptom severity interviews will be conducted by phone or videoconference at baseline, mid-intervention (6 weeks post-baseline), end of intervention (10 weeks post-baseline), and 6 months post-baseline. Self-rated symptom severity and quality of life data will be gathered online at the same time points as symptom severity interviews, and at 16 weeks post-baseline (6 weeks after the TRE period ends). To assess potential mechanisms of change, we will examine the change in diurnal amplitude of 'clock' gene expression as a primary mediator at 8 weeks compared to baseline. We will further test whether diurnal amplitude of clock gene expression is predictive above and beyond the role of two covariate potential mediators, glucose tolerance and inflammation at 8 weeks relative to baseline. To provide an index of whether TRE successfully decreases emotional lability, participants will be asked to complete 5 mood assessments per day for 7 days at baseline and at 10 weeks. These mood assessments will be optional.

Discussion: The planned research will provide novel and important information on whether TRE improves sleep/circadian rhythm problems, along with reductions in mood symptoms and improvements in quality of life, for individuals with BD.

Trial registration: ClinicalTrials.gov ID: NCT06555406.

Background: Previous studies have suggested a link between diet and mental health. However, there is a lack of evidence regarding the association between emerging diets such as the EAT-Lancet reference diet (ELD) and the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet, and mental health in different societies. This study aimed to determine the association between adherence to ELD and MIND diets and the risk of depression, anxiety, and stress.

Methods: This research involved 4579 participants from the PERSIAN Organizational Cohort Study in Mashhad (POCM). To assess dietary intake, a comprehensive 118-item semi-quantitative food frequency questionnaire (FFQ) was employed. The Planetary Health Diet Index (PHDI) was used to assess adherence to the ELD. Mental health status was evaluated using the Depression, Anxiety, and Stress Scale-21 items (DASS-21) questionnaire. Binary logistic regression was utilized to examine the relationship between these scores and mental health indicators.

Results: In the adjusted model, the highest quartile of PHDI showed a 35% reduced risk of depression compared to those in the lowest quartile (OR: 0.653, 95% CI: 0.483-0.883; P = 0.008). However, compared to the reference quartile, participants in the highest quartile of MIND diet exhibited significantly lower risks of depression (OR: 0.611, 95% CI: 0.447-0.836; P = 0.005), anxiety (OR: 0.559, 95% CI: 0.418-0.746; P < 0.001), and stress (OR: 0.629, 95% CI: 0.419-0.944; P = 0.008).

Conclusions: The ELD and MIND diet were both associated with reduced odds of depression. Additionally, MIND diet was associated with decreased likelihood of anxiety and stress. However, no connection was observed between ELD and anxiety or stress. Further large-scale interventions are required to confirm these findings.

Background: Suicide is a global public health problem. In childhood, the risk factors are less clear, highlighting family and individual factors. This study aims to investigate the prevalence and sociodemographic, social, family, and individual factors associated with suicide ideation and attempts in pre-adolescents in a Brazilian city.

Methods: The sample comes from a cohort of 500 schoolchildren of a city in Rio de Janeiro/Brazil. The data are analyzed cross-sectionally. The research incorporated data from the years 2005, 2006, and 2008 to evaluate suicide ideation and attempts in childhood, as reported by parents/caregivers, teachers and children. A hierarchical logistic model evaluated the association between the explanatory variables related to sociodemographic, social, family, and individual factors and the outcome.

Results: 22.2% of the children (95% CI 18.0%-27.0%) had suicide ideation/attempts, reported either by their mothers, teachers, or the child at some point in a cohort. The following variables were associated with suicidal ideation/attempts in the final adjusted model: regular or poor quality of relationship with friends (OR = 1.84; 95% CI 1.31-2.58), having a family member incarcerated (OR = 1.44; 95% CI 1.07-1.92) and having worse performance in portuguese or mathematics than other students (OR = 2.05; 95% CI 1.29-3.26).

Conclusion: Suicidal behavior in childhood is severe and affects everyone around the case, demanding to promote friendships, helping with school activities, and providing greater support and attention to children at risk. Bad relationships with friends and incarcerated family members are particularly key risk factors for suicide ideation and attempts. It is essential to improve prevention policies and to disseminate protective behaviors. There is a critical need to augment community mental health resources, mainly in less developed countries and regions that lack these services.