Association of subclinical hypothyroidism with metabolic syndrome and its components among outpatients with first-episode drug-naïve major depressive disorder: a large-scale cross-sectional study.

Both metabolic syndrome (MetS) and subclinical hypothyroidism (SCH) are prevalent in major depressive disorder (MDD) patients. However, their relationship in this population remains unknown. The study assessed the association between SCH and MetS in 1706 first-episode drug-naïve (FEDN) MDD patients. We also compared the relationship between MetS and clinical symptoms in patients with and without comorbid SCH. The Positive and Negative Syndrome Scale positive subscale, the Hamilton Anxiety Rating Scale, and the Hamilton Depression Rating Scale were used to detect clinical symptoms. Serum levels of free triiodothyronine, free thyroxine, thyroid stimulating hormone (TSH), anti-thyroglobulin, thyroid peroxidases antibody, cholesterol, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and fasting glucose were measured. The Area Under the Curve (AUC) was used to test the performance of serum TSH in identifying MetS patients. The prevalence of MetS and SCH was 34.5% (n = 585) and 61% (n = 1034), respectively. The presence of SCH increased the risk of MetS, hyperglycemia, hypertension, obesity, and low HDL-C by 4.91, 3.51, 3.54, 2.02, and 2.34 times, respectively. Serum TSH had a nice ability to distinguish MetS patients from non-MetS patients (AUC value = 0.77). MetS and its components exhibited a positive association with clinical profiles only in SCH patients, but not in non-SCH patients. Taken together, our study suggested SCH was closely related to MetS and might play a vital role in the relationship between MetS and clinical symptoms. Regular thyroid function checks might help early detect MetS.

The Mediating Effects of Perceived Family Support in the Relationship Between Anxiety and Problematic Smartphone Use: A Cross-Cultural Validation.

ABSTRACT: Problematic smartphone use (PSU) is frequently considered a public health issue, especially in East Asia and Europe. Yet, there is a paucity of research focusing on cultural and familial determinants of PSU. This cross-cultural study aimed to investigate smartphone usage patterns and possible mediating effects of perceived family support (PFS) from a stress-coping perspective. Convenience samples of 790 Chinese and 439 Belgian undergraduates completed an online survey that focused on sociodemographics and psychological variables ( i.e. , anxiety, depression, PFS, and PSU). In both samples, PSU was positively associated with anxiety and depression, and negatively associated with PFS. However, after controlling for sex and age in structural equation models, the consistent mediating effects of PFS were only found between anxiety and PSU in both cultural settings. These findings suggest that psychological interventions that take into account familial factors could be helpful for young people presenting with anxiety and PSU.

Employing Bayesian analysis to establish a cut-off point and assess stigma prevalence in substance use disorder: a comprehensive study of the Chinese version of the Substance Use Stigma Mechanism Scale.

PURPOSE: In China, individuals with substance use disorders (SUD) face severe stigma, but reliable stigma assessment tool is lacking. Therefore, this study aimed to validate the Chinese version of the Substance Use Stigma Mechanism Scale (SU-SMS-C) and set its cut-off point. METHODS: We recruited 1005 individuals with SUDs from Chinese rehabilitation centers. These participants completed a battery of questionnaires that included the SU-SMS-C, The Multidimensional Scale of Perceived Social Support (MSPSS), Center for Epidemiologic Studies Depression Scale (CES-D), General Self-Efficacy Scale (GSES), and Perceived Devaluation and Discrimination (PDD). Confirmatory factor analysis was used to assess the construct validity of the scale. Additionally, the Naive Bayes classifier was used to establish the cut-off point for the SU-SMS-C. We additionally explored the correlation between patient demographic characteristics and stigma. RESULTS: A confirmatory factor analysis was utilized, revealing a second-order five-factor model. Based on the Naive Bayes classifier, the area under the receiver operating characteristic (AUCROC) of 0.746, the cut-off point for the SU-SMS-C was established at 44.5. The prevalence of stigma observed in the study population was 49.05%. Significant disparities were observed in the distribution of stigma across genders, with males experiencing more pronounced stigma than females. Moreover, patients consuming different primary substances reported diverse levels of stigma. Notably, those primarily using heroin endured a higher degree of stigma than users of other substances. CONCLUSION: The study is the first to identify a cut-off point for the SU-SMS-C by Naive Bayes classifier, bridging a major gap in stigma measurement research. SU-SMS-C may help treat and manage SUDs by reducing stigma.

Association between white matter microstructure and cognitive function in patients with methamphetamine use disorder.

Methamphetamine use disorder (MUD) has been associated with broad neurocognitive impairments. While the cognitive impairments of MUD have been demonstrated, the neuropathological underpinnings remain inadequately understood. To date, the published human diffusion tensor imaging (DTI) studies involving the correlation between diffusion parameters and neurocognitive function in MUD are limited. Hence, the present study aimed to examine the association between cognitive performance and white matter microstructure in patients with MUD. Forty-five patients with MUD and 43 healthy controls (HCs) completed their demographic information collection, cognitive assessments, and DTI imaging. DTI images were preprocessed to extract fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) of various fiber tracts. Univariate tests were used to examine group differences in cognitive assessments and DTI metrics. Linear regression was used to examine the relationship between these two metrics. The results revealed that patients with MUD had lower subset scores of the MATRICS Consensus Cognitive Battery (MCCB), which reflects five cognitive domains: processing speed, attention, verbal learning, visual learning, problem-solving. Patients with MUD also had significantly higher AD, MD, and RD values of the left superior longitudinal fasciculus than HCs. Furthermore, the RD value of the left superior longitudinal fasciculus was a significant predictor of processing speed and problem-solving ability, as shown by the digit-symbol coding test and NAB-Mazes scores, respectively. Findings extended our understanding of white matter microstructure that is related to neurocognitive deficits in MUD and provided potential targets for the prevention and treatment of this chronic disorder.

Method of adaptive wide dynamic range gas concentration detection based on optimized direct absorption spectroscopy.

For wide dynamic range gas concentration detection based on tunable diode laser absorption spectroscopy (TDLAS), direct absorption spectroscopy (DAS) and wavelength modulation spectroscopy (WMS) are usually used in combination. However, in some application scenarios such as high-speed flow field detection, natural gas leakage, or industrial production, the requirements of wide-range, fast response and calibration-free must be met. Taking applicability and cost of TDALS-based sensor into consideration, a method of optimized direct absorption spectroscopy (ODAS) based on signal correlation and spectral reconstruction is developed in this paper. This method can achieve adaptive selection of the optimal benchmark spectrum for spectral reconstruction. Moreover, methane (CH4) is taken as an example to carry out the experimental verification. Experimental results proved that the method satisfies wide dynamic range detection of more than 4 orders of magnitude. It is worth noting that when measuring large absorbance with concentration of 75 × 104 ppm with DAS and ODAS method, respectively, the maximum value of residual is reduced from 3.43 to 0.07. Furthermore, whether measuring gas of small or large absorbance with different concentrations, which vary from 100 ppm to 75 × 104 ppm, the correlation coefficient between standard concentrations and inverted concentrations is 0.997, showing the linear consistency of the method in wide dynamic range. In addition, the absolute error is 1.81 × 104 ppm when measuring large absorbance of 75 × 104 ppm. It greatly improves the accuracy and reliability with the new method. In summary, the ODAS method can not only fulfill the measurement of gas concentration in wide range, but also further expand the application prospects of TDLAS.

Effectiveness and Safety of Vortioxetine for the Treatment of Major Depressive Disorder in the Real World: A Systematic Review and Meta-Analysis.

INTRODUCTION: Major depressive disorder (MDD) is a highly prevalent and burdensome condition. This study aims to evaluate the effectiveness, tolerability, and safety of vortioxetine in treating MDD based on real-world data. METHODS: A systematic search of 8 electronic databases was performed from inception until October 2022 to identify real-world studies, excluding randomized controlled trials. We conducted subgroup, meta-regression, sensitivity analyses, publication bias, and quality assessments using the random-effects model. The effects were summarized by rates or standardized mean difference (SMD) with 95% confidence interval (CI). RESULTS: Of the 870 records identified, 11 studies (3139 participants) and 10 case reports or series were eligible for inclusion. Vortioxetine significantly relieved depression symptoms as assessed by both patients (SMD = 2.25, 95% CI = 1.60-2.89) and physicians (SMD = 3.73, 95% CI = 2.78-4.69). Cognitive function (SMD =1.86, 95% CI = 1.11-2.62) and functional disability (SMD =1.71, 95% CI = 1.14-2.29) were similarly markedly improved. Subgroup and meta-regression analyses showed that geographic location and medication regimen (whether combined with other antidepressants) were crucial factors influencing effectiveness (in terms of depression severity and cognitive function), potentially contributing to significant heterogeneity. The estimated response and remission rates were 66.4% (95% CI = 51.2%-81.5%) and 58.0% (95% CI = 48.9%-67.1%), respectively. Vortioxetine was well tolerated, with a pooled dropout rate of 3.5% (95% CI = 1.8%-5.8%), and the most common adverse event was nausea, with an estimated rate of 8.9% (95% CI = 3.8%-15.8%). LIMITATIONS: The study has some limitations, including significant heterogeneity and limited evidence for some outcomes. CONCLUSIONS: Vortioxetine is effective, well tolerated, and safe for treating MDD in clinical practice, with significant improvements observed in depressive severity, cognitive function, and functioning. Future studies should directly compare vortioxetine with other antidepressants in real-world settings to further evaluate its clinical utility.

Differences in olfactory dysfunction and its relationship with cognitive function in schizophrenia patients with and without auditory verbal hallucinations.

Olfactory discrimination dysfunction has been observed in patients with schizophrenia (SCZ), but its relationship with cognitive function has not been clarified. The purpose of this study was to examine the differences in olfactory identification function in SCZ patients with and without auditory verbal hallucinations (AVHs) and its relationship with cognitive function. Olfactory identification function was measured in 80 SCZ patients with AVHs, 57 SCZ patients without AVHs, and 87 healthy controls (HC). Clinical symptom scores and neuropsychological measures were also administered to all corresponding subjects. Compared to HC, SCZ patients showed significant deficits in olfactory identification and cognitive function, but there were no differences in olfactory identification dysfunction and cognitive dysfunction between the two subgroups. In the non-AVHs subgroup only, poorer Olfactory Stick Identification Test for Japanese (OSIT-J) scores were significantly and positively correlated with total and delayed recall (Bonferroni correction, p < 0.002). Stepwise regression analysis revealed that factors affecting olfactory identification impairment differed in the two SCZ patient subgroups. In conclusion, this study highlights the commonality of olfactory identification dysfunction in SCZ patients and the importance of olfactory assessment of different subtypes of SCZ patients.

Positive association between increased homocysteine and deficit syndrome in Chinese patients with chronic schizophrenia: a large-scale cross-sectional study.

Emerging studies indicate that oxidative stress may contribute to deficit syndrome (DS) in patients with schizophrenia. Homocysteine (Hcy) is a well-known marker and mediator of oxidative stress that exhibits tight associations with schizophrenia. However, no previous studies have assessed the relationship of DS with Hcy. This study evaluated the prevalence, clinical characteristics, and association of DS with Hcy in 491 patients with schizophrenia. Plasma levels of Hcy and other metabolic parameters were measured. Positive and Negative Syndrome Scale and the proxy scale for deficit syndrome were employed to assess psychiatric symptoms and DS. The logistic regression model was conducted to assess independent factors associated with DS, and the Area Under the Curve (AUC) was used to assess the performance of our model. There was a high incidence of hyperhomocysteinemia (58.8%) and DS (24.4%). Plasma Hcy levels were significantly higher in patients with DS. Age, Hcy levels, and psychiatric symptoms were independently associated with DS. The combination of these variables perfectly differentiated DS and non-DS patients with an AUC value of 0.89. Our study suggests that elevated Hcy levels may be related to DS. Routine monitoring of Hcy is essential and may facilitate early detection of DS in patients with schizophrenia.

Gender differences in alcohol abuse/dependence among medical undergraduates during the post-COVID­19 pandemic period (October 20, 2020-April 5, 2021) in China.

BACKGROUND: This study aimed to assess the prevalence and the gender-specific risk factors of alcohol abuse/dependence among medical undergraduates during the post-COVID­19 pandemic period in China. METHOD: The Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) was used to identify respondents with alcohol abuse/dependence. A questionnaire on basic demographics and mental distresses (learning burnout, depression symptoms, anxiety symptoms, excessive daytime sleepiness, and history of mental disorders) was used. The logistic regression model was used to explore the associations between the above characteristics and alcohol abuse/dependence. RESULTS: A total of 3,412 medical undergraduates were included in the analysis. Males showed a higher prevalence of alcohol abuse/dependence than females (16.6% vs 7.4%, p < 0.001). Alcohol abuse/dependence was associated with learning burnout (OR: 2.168, p < 0.001) and having a partner (OR: 1.788 p = 0.001) among female medical undergraduates. Among male medical undergraduates, excessive daytime sleepiness (OR: 1.788 p = 0.001) and older age (OR: 1.788, p = 0.001) were independently associated with alcohol abuse/dependence. CONCLUSION: Alcohol abuse/dependence was common among medical undergraduates during the post-COVID­19 pandemic period. Substantial gender differences in the prevalence and risk factors of alcohol abuse/dependence were found among medical undergraduates in this study, which highlighted the need for timely gender-specific screening and interventions. However, the cross-sectional design adopted in this study has limited the examination of causality, thus further longitudinal studies are warranted.

Relationships Between Impulsivity, Methamphetamine use Disorder and Gambling Disorder.

Methamphetamine use disorder (MAUD) and gambling disorder (GD) frequently co-occur. Individuals with both conditions are typically more difficult to treat than those with either disorder alone. This study aimed to investigate the co-occurrence and clinical characteristics of people with MAUD and GD. Between March 2018 and August 2020, 350 men with methamphetamine use entering a compulsory drug rehabilitation center in Changsha, Hunan Province received semi-structured interviews. Participants completed the Barratt Impulsiveness Scale-11 and provided information on childhood upbringings and drug use characteristics. Independent sample t-tests compared differences between individuals with MAUD and with and without co-occurring GD. Dichotomous logistic regression was used to statistically predict co-occurring GD. The prevalence of GD was 45.1%. Most individuals (39.1% overall) had post-onset methamphetamine use (PoMAU-GD). The number of MAUD symptoms, history of gambling by family members, age of first sexual activity, and non-planning impulsivity statistically predicted PoMAU-GD, jointly explaining 24.0% of the total variance. The regression model fit well (HLχ2 = 5.503, p = 0.70), in which the specificity was 0.80, the sensitivity was 0.64, and the area under the curve was 0.79 (95%CI: 0.75-0.84). This study clarifies the prevalence of and potential risk factors for GD among individuals engaging in compulsory MAUD treatment in China. The high prevalence and associated clinical features of GD in the MAUD group highlight the importance of screening for GD in this population and intervening accordingly.

Method for demodulating the overlapping absorption spectra of CO and CH4.

When measuring the concentrations of individual gases in gas mixtures via laser absorption spectroscopy, the widening of adjacent absorption spectral lines can cause them to overlap, which hinders the calculation of the gas concentrations. In this study, the causes of this hindrance are analyzed. By using the Partial Least Squares (PLS) algorithm, the relative error in the measured CO concentration for a mixture of CO and CH4 gases was less than 10% even when the volume ratio VCH4/CO (The ratio of CH4 gas concentration to CO gas concentration) reached 100. These results show that the PLS algorithm is able to determine accurate concentrations even with significant broadening and interference of spectral lines in mixed gases.

High-performance perovskite photodetectors based on CsPbBr3 microwire arrays: erratum.

We correct two errors in our publication [Appl. Opt.60, 8896 (2021)APOPAI0003-693510.1364/AO.437478].

Efficient Hardware Accelerator Design of Non-Linear Optimization Correlative Scan Matching Algorithm in 2D LiDAR SLAM for Mobile Robots.

Simultaneous localization and mapping (SLAM) is the major solution for constructing or updating a map of an unknown environment while simultaneously keeping track of a mobile robot's location. Correlative Scan Matching (CSM) is a scan matching algorithm for obtaining the posterior distribution probability for the robot's pose in SLAM. This paper combines the non-linear optimization algorithm and CSM algorithm into an NLO-CSM (Non-linear Optimization CSM) algorithm for reducing the computation resources and the amount of computation while ensuring high calculation accuracy, and it presents an efficient hardware accelerator design of the NLO-CSM algorithm for the scan matching in 2D LiDAR SLAM. The proposed NLO-CSM hardware accelerator utilizes pipeline processing and module reusing techniques to achieve low hardware overhead, fast matching, and high energy efficiency. FPGA implementation results show that, at 100 MHz clock, the power consumption of the proposed hardware accelerator is as low as 0.79 W, while it performs a scan match at 8.98 ms and 7.15 mJ per frame. The proposed design outperforms the ARM-A9 dual-core CPU implementation with a 92.74% increase and 90.71% saving in computing speed and energy consumption, respectively. It has also achieved 80.3% LUTs, 84.13% FFs, and 20.83% DSPs saving, as well as an 8.17× increase in frame rate and 96.22% improvement in energy efficiency over a state-of-the-art hardware accelerator design in the literature. ASIC implementation in 65 nm can further reduce the computing time and energy consumption per scan to 5.94 ms and 0.06 mJ, respectively, which shows that the proposed NLO-CSM hardware accelerator design is suitable for resource-limited and energy-constrained mobile and micro robot applications.

Termination dependence and electric field modification of band alignment in a CNT/CH3NH3PbI3 heterojunction.

Carbon nanotube (CNT) and perovskite composite materials possessing the combined advantages of CNTs and perovskites have drawn substantial attention due to their promising applications in photovoltaic and optoelectronic devices. Understanding the band alignment of heterojunctions is crucial for further performance improvement. Here, we systematically investigated the interfacial electronic structure and optical absorption of a semiconducting CNT/CH3NH3PbI3 heterojunction via density functional theory calculations. It was found that the CNT/PbI2-terminated CH3NH3PbI3 (001) surface heterojunction is a type-I band alignment, while the CNT/CH3NH3I-terminated CH3NH3PbI3 (001) surface heterojunction is a type-II band alignment, suggesting the different charge carrier transfer processes as well as termination dependence of band alignment in the CNT/CH3NH3PbI3 heterojunction. Further investigation indicated that applying electric fields can modify the band alignment type in the CNT/CH3NH3PbI3 heterojunction. Our results provide the first insight into the interfacial electronic structure of the CNT/CH3NH3PbI3 heterojunction, which may give a new route for designing optoelectronic devices.

High-performance perovskite photodetectors based on CsPbBr3 microwire arrays.

All inorganic perovskite materials have drawn extensive attention, owing to their outstanding performance, facile solution-processed method, and potential applications in optoelectronic devices. However, uncontrollable morphology, high defect density, and instability of perovskites prepared via solution-processed method are the main challenges for their large-scale production and commercialization. Herein, we prepared large-scale CsPbBr3 microwire arrays with highly ordered morphology and high crystalline quality by a template-assisted method. The photodetectors based on CsPbBr3 microwire arrays exhibited remarkable on/off photocurrent ratio of 9.02×103, high detectivity of 1.59×1013 Jones, high responsivity of 4.55 A/W, and fast response speed of 4.9/3 ms. More importantly, the photocurrent of the photodetectors hardly changed in air after being stored for two months, indicating remarkable stability. This study demonstrates that CsPbBr3 microwire arrays provide the possibility for preparing large-scale and high-performance optoelectronic devices.

Doctor-patient relationship improved during COVID-19 pandemic, but weakness remains.

OBJECTIVE: To assess the quality of the doctor-patient relationship (DPR) in China and possible influencing factors during the COVID-19 period from the patient's perspective. METHODS: An online survey was carried out nationwide from March 12, 2020 to March 30, 2020 in China via a convenience sampling strategy. Patients who met the inclusion criteria were invited to complete a questionnaire regarding the quality of DPR, including sociodemographic information, the Patient-Doctor Relationship Questionnaire (PDRQ-9), and influencing factors for DPR during the pandemic. RESULTS: A total of 1903 patients were included. Our result showed that participants had a higher PDRQ-9 score during the COVID-19 pandemic (4.18 ± 0.51) than that before the COVID-19 pandemic (3.86 ± 0.67). Importance-performance analysis (IPA) revealed that doctor-patient communication, patient satisfaction, consultation time, doctor's attitude, and medical knowledge were specific aspects that needed to be prioritized to improve the DPR. Multiple linear regression analysis suggested that positive media reports, telemedicine, and national policies had a significantly positive effect on the DPR during the pandemic (P < 0.05). CONCLUSION: In general, the DPR had been improved during the COVID-19 pandemic. Our research found the key points that needed to be prioritized to improve the DPR during the pandemic, which may provide effective suggestions for building a harmonious DPR in the future.

The influence of different THA surgical approaches on Patient's early postoperative anxiety and depression.

INTRODUCTION: Total hip arthroplasty (THA) is generally considered to be one of the most successful orthopedic surgical procedures. However, no research has been conducted on the postoperative mental health of patients who underwent different approaches of THA. This paper seeks to compare the differences among three THA approaches: the normal lateral approach (NLA), the direct anterior approach (DAA) and the orthopädische chirurgie münchen (OCM) regarding their influence on patients' postoperative anxiety and depression. METHOD: A total of 95 THA patients were recruited for this study. All patients' preoperative information including results of Harris, SF-36 and Visual Analogue Scale (VAS) was carefully evaluated. Surgery-related data as well as five-day postoperative data were also collected. Three months after the surgery, a telephone follow-up was conducted to further evaluate patients' HADS and SF-36 results. RESULT: In the three-month postoperative evaluation of anxiety and depression, the NLA group scored significantly higher than both the DAA group and the OCM group, which was found relevant to the patient's incision length and five-day postoperative VAS results. A correlation between anxiety scores and the days of postoperative hospitalization was also noticed. Further analysis of patients' psychological state based on the SF-36 results revealed considerable differences in viability (VT) and social function (SF) between the NLA group and the OCM group. Other surgery-related data and postoperative data all demonstrated better results of the DAA group and the OCM group compared to the NLA group. CONCLUSION: Among the three different surgical approaches of THA, DAA and OCM compared with NLA are found to ease patients' postoperative anxiety and depression. LEVEL OF EVIDENCE: III.

Highly efficient and controllable photoluminescence emission on a suspended MoS2-based plasmonic grating.

Being a new class of materials, transition metal dichalcogenides are paving the way for applications in atomically thin optoelectronics. However, the intrinsically weak light-matter interaction and the lack of manipulation ability has lead to poor light emission and tunable behavior. Here, we investigate the fluorescence characteristic of monolayer molybdenum disulfide on a metal narrow-slit grating, where a highly efficient, 471 times photoluminescence enhancement are realized, based on the hybrid surface plasmon polaritons resonances and the decreased influence of substrate. Moreover, the emitted intensity and polarization are controllable due to the polarization-dependent characteristic and anisotropy of grating. The manipulations of light-matter interactions in this special system provide a new insight into the fluorescent emission process and open a new avenue for high-performance low dimensional materials devices designs.

[The role and mechanism of leucyl-tRNA synthetase in the regulation of protein synthesis in aging skeletal muscle].

The imbalance of protein metabolism is the major cause of skeletal muscle atrophy, and the decrease of protein synthesis directly leads to the occurrence and development of age-related sarcopenia. The canonical role of leucyl-tRNA synthetase (LeuRS) is ligating leucine to the cognate tRNA, and thus it plays a central role in genetic coding. With the further studies of LeuRS in recent years, LeuRS has been found to control protein homeostasis in aging skeletal muscle via its non-canonical role. In this paper, we reviewed the structure and biological features of aminoacyl-tRNA synthetase and LeuRS, and summarized the recent advances in studies on the effects of LeuRS in regulating aging skeletal muscle protein synthesis as an intracellular leucine sensor. Moreover, we also analyzed the potential role of LeuRS in activation of mammalian target of rapamycin complex 1 (mTORC1) signaling transduction pathway in response to anabolic stimuli such as exercise and amino acids ingestion. This paper may provide some new ideas for the prevention, diagnosis and treatment of age-related sarcopenia.

Cation Dynamics Governed Thermal Properties of Lead Halide Perovskite Nanowires.

Metal halide perovskite (MHP) nanowires such as hybrid organic-inorganic CH3NH3PbX3 (X = Cl, Br, I) have drawn significant attention as promising building blocks for high-performance solar cells, light-emitting devices, and semiconductor lasers. However, the physics of thermal transport in MHP nanowires is still elusive even though it is highly relevant to the device thermal stability and optoelectronic performance. Through combined experimental measurements and theoretical analyses, here we disclose the underlying mechanisms governing thermal transport in three different kinds of lead halide perovskite nanowires (CH3NH3PbI3, CH3NH3PbBr3 and CsPbBr3). It is shown that the thermal conductivity of CH3NH3PbBr3 nanowires is significantly suppressed as compared to that of CsPbBr3 nanowires, which is attributed to the cation dynamic disorder. Furthermore, we observed different temperature-dependent thermal conductivities of hybrid perovskites CH3NH3PbBr3 and CH3NH3PbI3, which can be attributed to accelerated cation dynamics in CH3NH3PbBr3 at low temperature and the combined effects of lower phonon group velocity and higher Umklapp scattering rate in CH3NH3PbI3 at high temperature. These data and understanding should shed light on the design of high-performance MHP based thermal and optoelectronic devices.