Association of autoimmune disorders with chronic rhinosinusitis in adults.

INTRODUCTION: Increasing evidence suggests that autoimmune disorders and their immunomodulating medications may increase the risk of rhinosinusitis compared to rhinitis. GOAL: To investigate the association between autoimmune disorders and rhinosinusitis. METHODS: We performed a case-control study of patients referred to West Virginia University from August 2020 to October 2022 for rhinologic complaints. Rhinosinusitis patients were diagnosed with either chronic rhinosinusitis (CRS) or recurrent acute rhinosinusitis (RARS). These patients were compared to non-rhinosinusitis patients. Patients' characteristics, comorbidities, and type of treatment of autoimmune disorders were reviewed. RESULTS: The sample consisted of 527 rhinosinusitis [184 CRS without nasal polyps (CRSsNP), 263 CRS with nasal polyps (CRSwNP) and 80 RARS patients] patients and 564 non-rhinosinusitis patients. Patients with rhinosinusitis were more likely to be older, males, have asthma, and have current and past smoking history (all with p-value < 0.05). Autoimmune disorders, primary antibody deficiency, and immunomodulator agents were more common in rhinosinusitis patients (16.5 % vs 9.4 %, OR = 1.9, p < 0.001; 5.1 % vs 0.5 %, OR = 10.1, p < 0.001; and 3.8 % vs 1.1 %, OR = 3.7, p = 0.003 respectively). Multivariate logistic regression adjusting for confounders showed that autoimmune disorders were strongly associated with rhinosinusitis [OR = 1.6, 95 % CI = 1.10-2.48], whereas the immunomodulators did not reach statistical significance [OR = 2.4, 95 % CI = 0.87-6.47]. Subgroup analysis showed the autoimmune disorders did not significantly differ between CRS and RARS groups [OR = 1.0, 95 % CI = 0.5-2.1], or between the CRSsNP and CRSwNP groups [OR = 0.9, 95 % CI = 0.5-1.7]. CONCLUSION: Autoimmune disorders are associated with rhinosinusitis, both CRS and RARS, independently of other risk factors.

The Effect of Aromatherapy on Anxiety and Pain in Patients Undergoing Oculoplastic Surgery.

PURPOSE: To determine the effect of aromatherapy on postoperative anxiety and pain in patients undergoing oculoplastic surgery. METHODS: A randomized controlled study of 60 patients who underwent monitored anesthesia care sedation for oculoplastic procedures from August 2018 to November 2020. Patients were randomized to an aromatherapy (n = 32) or placebo (n = 28) condition. Anxiety was measured with State-Trait Anxiety Inventory and visual analog scale for anxiety. Pain was measured with a visual analog scale for pain. RESULTS: Compared with control patients, aromatherapy patients had significantly lower postoperative State-Trait Anxiety Inventory state anxiety (24.1 vs. 29.1; p = 0.05) and visual analog scale pain scores (1.9 vs. 3.2; p = 0.05). Aromatherapy patients also had shorter stays in the postanesthesia care unit than control patients (57.7 vs. 79.4 minutes; p = 0.03). CONCLUSIONS: Patients who received aromatherapy reported lower postoperative anxiety and pain. Aromatherapy may be a useful adjuvant analgesic and/or anxiolytic for patients undergoing oculoplastic procedures with monitored anesthesia care sedation.

Changes in terpene biosynthesis and submergence tolerance in cotton.

BACKGROUND: Flooding is among the most severe abiotic stresses in plant growth and development. The mechanism of submergence tolerance of cotton in response to submergence stress is unknown. RESULTS: The transcriptome results showed that a total of 6,893 differentially expressed genes (DEGs) were discovered under submergence stress. Gene Ontology (GO) enrichment analysis showed that DEGs were involved in various stress or stimulus responses. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis indicated that DEGs related to plant hormone signal transduction, starch and sucrose metabolism, glycolysis and the biosynthesis of secondary metabolites were regulated by submergence stress. Eight DEGs related to ethylene signaling and 3 ethylene synthesis genes were identified in the hormone signal transduction. For respiratory metabolism, alcohol dehydrogenase (ADH, GH_A02G0728) and pyruvate decarboxylase (PDC, GH_D09G1778) were significantly upregulated but 6-phosphofructokinase (PFK, GH_D05G0280), phosphoglycerate kinase (PGK, GH_A01G0945 and GH_D01G0967) and sucrose synthase genes (SUS, GH_A06G0873 and GH_D06G0851) were significantly downregulated in the submergence treatment. Terpene biosynthetic pathway-related genes in the secondary metabolites were regulated in submergence stress. CONCLUSIONS: Regulation of terpene biosynthesis by respiratory metabolism may play a role in enhancing the tolerance of cotton to submergence under flooding. Our findings showed that the mevalonate pathway, which occurs in the cytoplasm of the terpenoid backbone biosynthesis pathway (ko00900), may be the main response to submergence stress.

Systematic analysis and expression of Gossypium 2ODD superfamily highlight the roles of GhLDOXs responding to alkali and other abiotic stress in cotton.

BACKGROUND: 2-oxoglutarate-dependent dioxygenase (2ODD) is the second largest family of oxidases involved in various oxygenation/hydroxylation reactions in plants. Many members in the family regulate gene transcription, nucleic acid modification/repair and secondary metabolic synthesis. The 2ODD family genes also function in the formation of abundant flavonoids during anthocyanin synthesis, thereby modulating plant development and response to diverse stresses. RESULTS: Totally, 379, 336, 205, and 204 2ODD genes were identified in G. barbadense (Gb), G. hirsutum (Gh), G. arboreum (Ga), and G. raimondii (Gb), respectively. The 336 2ODDs in G. hirsutum were divided into 15 subfamilies according to their putative functions. The structural features and functions of the 2ODD members in the same subfamily were similar and evolutionarily conserved. Tandem duplications and segmental duplications served essential roles in the large-scale expansion of the cotton 2ODD family. Ka/Ks values for most of the gene pairs were less than 1, indicating that 2ODD genes undergo strong purifying selection during evolution. Gh2ODDs might act in cotton responses to different abiotic stresses. GhLDOX3 and GhLDOX7, two members of the GhLDOX subfamily from Gh2ODDs, were significantly down-regulated in transcription under alkaline stress. Moreover, the expression of GhLDOX3 in leaves was significantly higher than that in other tissues. These results will provide valuable information for further understanding the evolution mechanisms and functions of the cotton 2ODD genes in the future. CONCLUSIONS: Genome-wide identification, structure, and evolution and expression analysis of 2ODD genes in Gossypium were carried out. The 2ODDs were highly conserved during evolutionary. Most Gh2ODDs were involved in the regulation of cotton responses to multiple abiotic stresses including salt, drought, hot, cold and alkali.

Combined transcriptomic and metabolomic analyses elucidate key salt-responsive biomarkers to regulate salt tolerance in cotton.

BACKGROUND: Cotton is an important industrial crop and a pioneer crop for saline-alkali land restoration. However, the molecular mechanism underlying the cotton response to salt is not completely understood. METHODS: Here, we used metabolome data and transcriptome data to analyze the salt tolerance regulatory network of cotton and metabolic biomarkers. RESULTS: In this study, cotton was stressed at 400 m M NaCl for 0 h, 3 h, 24 h and 48 h. NaCl interfered with cotton gene expression, altered metabolite contents and affected plant growth. Metabolome analysis showed that NaCl stress increased the contents of amino acids, sugars and ABA, decreased the amount of vitamin and terpenoids. K-means cluster analysis of differentially expressed genes showed that the continuously up-regulated genes were mainly enriched in metabolic pathways such as flavonoid biosynthesis and amino acid biosynthesis. CONCLUSION: The four metabolites of cysteine (Cys), ABA(Abscisic acid), turanose, and isopentenyladenine-7-N-glucoside (IP7G) were consistently up-regulated under salt stress, which may indicate that they are potential candidates for cotton under salt stress biomarkers. Combined transcriptome and metabolome analysis revealed accumulation of cysteine, ABA, isopentenyladenine-7-N-glucoside and turanose were important for salt tolerance in cotton mechanism. These results will provide some metabolic insights and key metabolite biomarkers for salt stress tolerance, which may help to understanding of the metabolite response to salt stress in cotton and develop a foundation for cotton to grow better in saline soil.

GhIMP10D, an inositol monophosphates family gene, enhances ascorbic acid and antioxidant enzyme activities to confer alkaline tolerance in Gossypium hirsutum L.

BACKGROUND: Inositol monophosphates (IMP) are key enzymes in the ascorbic acid (AsA) synthesis pathways, which play vital roles in regulating plant growth and development and stresses tolerance. To date, no comprehensive analysis of the expression profile of IMP genes and their functions under abiotic stress in cotton has been reported. RESULTS: In this study, the genetic characteristics, phylogenetic evolution, cis-acting elements and expression patterns of IMP gene family in cotton were systematically analyzed. A total of 28, 27, 13 and 13 IMP genes were identified in Gossypium hirsutum (G. hirsutum), Gossypium barbadense (G. barbadense), Gossypium arboreum (G. arboreum), and Gossypium raimondii (G. raimondii), respectively. Phylogenetic analysis showed that IMP family genes could cluster into 3 clades. Structure analysis of genes showed that GhIMP genes from the same subgroup had similar genetic structure and exon number. And most GhIMP family members contained hormone-related elements (abscisic acid response element, MeJA response element, gibberellin response element) and stress-related elements (low temperature response element, defense and stress response element, wound response element). After exogenous application of abscisic acid (ABA), some GhIMP genes containing ABA response elements positively responded to alkaline stress, indicating that ABA response elements played an important role in response to alkaline stress. qRT-PCR showed that most of GhIMP genes responded positively to alkaline stress, and GhIMP10D significantly upregulated under alkaline stress, with the highest up-regulated expression level. Virus-induced gene silencing (VIGS) experiment showed that compared with 156 plants, MDA content of pYL156:GhIMP10D plants increased significantly, while POD, SOD, chlorophyII and AsA content decreased significantly. CONCLUSIONS: This study provides a thorough overview of the IMP gene family and presents a new perspective on the evolution of this gene family. In particular, some IMP genes may be involved in alkaline stress tolerance regulation, and GhIMP10D showed high expression levels in leaves, stems and roots under alkaline stress, and preliminary functional verification of GhIMP10D gene suggested that it may regulate tolerance to alkaline stress by regulating the activity of antioxidant enzymes and the content of AsA. This study contributes to the subsequent broader discussion of the structure and alkaline resistance of IMP genes in cotton.

Development of a model to predict psychotherapy response for depression among Veterans.

BACKGROUND: Fewer than half of patients with major depressive disorder (MDD) respond to psychotherapy. Pre-emptively informing patients of their likelihood of responding could be useful as part of a patient-centered treatment decision-support plan. METHODS: This prospective observational study examined a national sample of 807 patients beginning psychotherapy for MDD at the Veterans Health Administration. Patients completed a self-report survey at baseline and 3-months follow-up (data collected 2018-2020). We developed a machine learning (ML) model to predict psychotherapy response at 3 months using baseline survey, administrative, and geospatial variables in a 70% training sample. Model performance was then evaluated in the 30% test sample. RESULTS: 32.0% of patients responded to treatment after 3 months. The best ML model had an AUC (SE) of 0.652 (0.038) in the test sample. Among the one-third of patients ranked by the model as most likely to respond, 50.0% in the test sample responded to psychotherapy. In comparison, among the remaining two-thirds of patients, <25% responded to psychotherapy. The model selected 43 predictors, of which nearly all were self-report variables. CONCLUSIONS: Patients with MDD could pre-emptively be informed of their likelihood of responding to psychotherapy using a prediction tool based on self-report data. This tool could meaningfully help patients and providers in shared decision-making, although parallel information about the likelihood of responding to alternative treatments would be needed to inform decision-making across multiple treatments.

Development of a model to predict antidepressant treatment response for depression among Veterans.

BACKGROUND: Only a limited number of patients with major depressive disorder (MDD) respond to a first course of antidepressant medication (ADM). We investigated the feasibility of creating a baseline model to determine which of these would be among patients beginning ADM treatment in the US Veterans Health Administration (VHA). METHODS: A 2018-2020 national sample of n = 660 VHA patients receiving ADM treatment for MDD completed an extensive baseline self-report assessment near the beginning of treatment and a 3-month self-report follow-up assessment. Using baseline self-report data along with administrative and geospatial data, an ensemble machine learning method was used to develop a model for 3-month treatment response defined by the Quick Inventory of Depression Symptomatology Self-Report and a modified Sheehan Disability Scale. The model was developed in a 70% training sample and tested in the remaining 30% test sample. RESULTS: In total, 35.7% of patients responded to treatment. The prediction model had an area under the ROC curve (s.e.) of 0.66 (0.04) in the test sample. A strong gradient in probability (s.e.) of treatment response was found across three subsamples of the test sample using training sample thresholds for high [45.6% (5.5)], intermediate [34.5% (7.6)], and low [11.1% (4.9)] probabilities of response. Baseline symptom severity, comorbidity, treatment characteristics (expectations, history, and aspects of current treatment), and protective/resilience factors were the most important predictors. CONCLUSIONS: Although these results are promising, parallel models to predict response to alternative treatments based on data collected before initiating treatment would be needed for such models to help guide treatment selection.

Analysis of the histidine kinase gene family and the role of GhHK8 in response to drought tolerance in cotton.

As an important member of the two-component system (TCS), histidine kinases (HKs) play important roles in various plant developmental processes and signal transduction in response to a wide range of biotic and abiotic stresses. So far, the HK gene family has not been investigated in Gossypium. In this study, a total of 177 HK gene family members were identified in cotton. They were further divided into seven groups, and the protein characteristics, genetic relationship, gene structure, chromosome location, collinearity, and cis-elements identification were comprehensively analyzed. Whole genome duplication (WGD) / segmental duplication may be the reason why the number of HK genes doubled in tetraploid Gossypium species. Expression analysis revealed that most cotton HK genes were mainly expressed in the reproductive organs and the fiber at initial stage. Gene expression analysis revealed that HK family genes are involved in cotton abiotic stress, especially drought stress and salt stress. In addition, gene interaction networks showed that HKs were involved in the regulation of cotton abiotic stress, especially drought stress. VIGS experiments have shown that GhHK8 is a negative regulatory factor in response to drought stress. Our systematic analysis provided insights into the characteristics of the HK genes in cotton and laid a foundation for further exploring their potential in drought stress resistance in cotton.

GhCYS2 governs the tolerance against cadmium stress by regulating cell viability and photosynthesis in cotton.

Cysteine, an early sulfur-containing compound in plants, is of significant importance in sulfur metabolism. CYS encodes cysteine synthetase that further catalyzes cysteine synthesis. In this investigation, CYS genes, identified from genome-wide analysis of Gossypium hirsutum bioinformatically, led to the discovery of GhCYS2 as the pivotal gene responsible for Cd2+ response. The silencing of GhCYS2 through virus-induced gene silencing (VIGS) rendered plants highly susceptible to Cd2+ stress. Silencing GhCYS2 in plants resulted in diminished levels of cysteine and glutathione while leading to the accumulation of MDA and ROS within cells, thereby impeding the regular process of photosynthesis. Consequently, the stomatal aperture of leaves decreased, epidermal cells underwent distortion and deformation, intercellular connections are dramatically disrupted, and fissures manifested between cells. Ultimately, these detrimental effected culminating in plant wilting and a substantial reduction in biomass. The association established between Cd2+ and cysteine in this investigation offered a valuable reference point for further inquiry into the functional and regulatory mechanisms of cysteine synthesis genes.

The Role of Perceived and Objective Social Connectedness on Risk for Suicidal Thoughts and Behavior in Late-Life and Their Moderating Effect on Cognitive Deficits.

OBJECTIVE: Impaired cognition increases suicide risk while social connectedness protects against suicide risk in late life. We examined the independent and interactive effects of social connectedness and cognition on suicide risk in late life. METHODS: Participants included 570 individuals aged 50+ from a late-life suicide study. The Interpersonal Support Evaluation List and Social Network Index were used to assess perceived and objective social connectedness, respectively, while the Mattis Dementia Rating Scale and Executive Interview were used to assess cognition. RESULTS: Suicide attempters and ideators reported lower perceived social connectedness and exhibited worse executive function than non-suicidal depressed and healthy comparison participants, while only attempters had worse objective social connectedness relative to the other groups. Executive dysfunction was linked to low objective social connectedness in attempters but higher objective social connectedness in healthy comparisons. CONCLUSION: Interventions targeting suicide risk may consider bolstering social connectedness, particularly in those with low cognitive health.

Cotton transcriptome analysis reveals novel biological pathways that eliminate reactive oxygen species (ROS) under sodium bicarbonate (NaHCO3) alkaline stress.

Alkaline stress is one of the abiotic stresses limiting cotton production. Though RNA-Seq analyses, have been conducted to investigate genome-wide gene expression in response to alkaline stress in plants, the response of sodium bicarbonate (NaHCO3) stress-related genes in cotton has not been reported. To explore the mechanisms of cotton response to this alkaline stress, we used next-generation sequencing (NGS) technology to study transcriptional changes of cotton under NaHCO3 alkaline stress. A total of 18,230 and 11,177 differentially expressed genes (DEGs) were identified in cotton roots and leaves, respectively. Gene ontology (GO) analysis indicated the enrichment of DEGs involved in various stimuli or stress responses. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed that DEGs associated with plant hormone signal transduction, amino acid biosynthesis, and biosynthesis of secondary metabolites were regulated in response to the NaHCO3 stress. We further analyzed genes enriched in secondary metabolic pathways and found that secondary metabolites were regulated to eliminate the reactive oxygen species (ROS) and improve the cotton tolerance to the NaHCO3 stress. In this study, we learned that the toxic effect of NaHCO3 was more profound than that of NaOH at the same pH. Thus, Na+, HCO3- and pH had a great impact on the growth of cotton plant. The novel biological pathways and candidate genes for the cotton tolerance to NaHCO3 stress identified from the study would be useful in the genetic improvement of the alkaline tolerance in cotton.

Age Moderates the Relation between Sleep Problems and Suicide Risk.

OBJECTIVES: This cross-sectional study examined whether age moderates the relation between sleep problems and suicide risk and investigated whether sleep problems are differentially associated with suicide risk in younger (18-40) and older (60+) adults. METHODS: MTurk workers (N = 733) completed the Pittsburgh Sleep Quality Index, Suicidal Behavior Questionnaire-Revised, Patient Health Questionnaire, and demographic questions. Analysis of variance and linear regressions were utilized. RESULTS: Older adults scored lower on four PSQI components, symptoms of depression, and suicide risk than younger adults. Age significantly moderated the relation between sleep problems and suicide risk after controlling for gender and depressive symptoms, F(5, 635) = 72.38, p < .001. Sleep problems significantly related to suicide risk in younger adults (t = 6.47, p < .001) but not in older adults (t = 0.57, p = .57). Sleep medication use was related to suicide risk in both groups, whereas daytime dysfunction was related to suicide risk in older adults and sleep disturbances were related to suicide risk in younger adults. CONCLUSIONS: The relation between sleep problems and suicide risk differs between younger and older adults. This study adds to the literature suggesting that sleep medications may not be appropriate for older adults. CLINICAL IMPLICATIONS: Sleep problems are significantly related to suicide risk in younger adults but not older adults. Sleep medication use is associated with suicide risk regardless of age.

Genome-wide identification and expression analysis of Raffinose synthetase family in cotton.

BACKGROUND: The Raffinose synthetase (RAFS) genes superfamily is critical for the synthesis of raffinose, which accumulates in plant leaves under abiotic stress. However, it remains unclear whether RAFS contributes to resistance to abiotic stress in plants, specifically in the Gossypium species. RESULTS: In this study, we identified 74 RAFS genes from G. hirsutum, G. barbadense, G. arboreum and G. raimondii by using a series of bioinformatic methods. Phylogenetic analysis showed that the RAFS gene family in the four Gossypium species could be divided into four major clades; the relatively uniform distribution of the gene number in each species ranged from 12 to 25 based on species ploidy, most likely resulting from an ancient whole-genome polyploidization. Gene motif analysis showed that the RAFS gene structure was relatively conservative. Promoter analysis for cis-regulatory elements showed that some RAFS genes might be regulated by gibberellins and abscisic acid, which might influence their expression levels. Moreover, we further examined the functions of RAFS under cold, heat, salt and drought stress conditions, based on the expression profile and co-expression network of RAFS genes in Gossypium species. Transcriptome analysis suggested that RAFS genes in clade III are highly expressed in organs such as seed, root, cotyledon, ovule and fiber, and under abiotic stress in particular, indicating the involvement of genes belonging to clade III in resistance to abiotic stress. Gene co-expressed network analysis showed that GhRFS2A-GhRFS6A, GhRFS6D, GhRFS7D and GhRFS8A-GhRFS11A were key genes, with high expression levels under salt, drought, cold and heat stress. CONCLUSION: The findings may provide insights into the evolutionary relationships and expression patterns of RAFS genes in Gossypium species and a theoretical basis for the identification of stress resistance materials in cotton.

Genome-wide identification and characteristic analysis of the downstream melatonin metabolism gene GhM2H in Gossypium hirsutum L.

BACKGROUND: Melatonin 2-hydroxylase (M2H) is the first enzyme in the catabolism pathway of melatonin, which catalyzes the production of 2-hydroxymelatonin (2-OHM) from melatonin. The content of 2-hydroxymelatonin in plants is much higher than that of melatonin. So M2H may be a key enzyme in the metabolic pathway of melatonin. METHOD: We conducted a systematic analysis of the M2H gene family in Gossypium hirsutum based on the whole genome sequence by integrating the structural characteristics, phylogenetic relationships, expression profile, and biological stress of the members of the Gossypium hirsutum M2H gene family. RESULT: We identified 265 M2H genes in the whole genome of Gossypium hirsutum, which were divided into 7 clades (clades I-VII) according to phylogenetic analysis. Most M2H members in each group had similar motif composition and gene structure characteristics. More than half of GhM2H members contain ABA-responsive elements and MeJA-responsive elements. Under different stress conditions, the expression levels of the gene changed, indicating that GhM2H members were involved in the regulation of abiotic stress. Some genes in the GhM2H family were involved in regulating melatonin levels in cotton under salt stress, and some genes were regulated by exogenous melatonin. CONCLUSION: This study is helpful to explore the function of GhM2H, the downstream metabolism gene of melatonin in cotton, and lay the foundation for better exploring the molecular mechanism of melatonin improving cotton's response to abiotic stress.

Development and initial validation of the Hopelessness Inventory for Later Life (HILL).

OBJECTIVES: Hopelessness is associated with depression, physical illness, and mortality. It is a key risk factor for suicidality in later life. Limitations have been identified in available hopelessness assessment measures regarding their use with older adults. The current study describes the development and initial psychometric evaluation of a content-valid, self-report scale for late-life hopelessness (i.e. the Hopelessness Inventory for Later Life; HILL). METHODS: A sample of 265 older adults (ages 60-99, M = 71.1, SD = 6.7) was recruited through a combination of in-person, online, and mailed solicitations. Participants completed a survey battery containing the preliminary HILL and measures of related constructs (e.g. depression, anxiety, suicide risk, social support) to examine its psychometric properties. RESULTS: Multiple analytic item selection strategies resulted in two viable versions of the scale: the HILL and the HILL-Shortened (HILL-S). Both exhibited strong item response characteristics and preliminary evidence of unidimensionality (via factor analysis), internal consistency (α = .96 and α = .89, respectively), and construct validity (via correlations with related constructs). CONCLUSION: Findings provide preliminary psychometric support for both the HILL and HILL-S. Advantages for use of the HILL and the HILL-S over existing measures of hopelessness are discussed.

Dementia-related anxiety and coping styles associated with suicidal ideation.

Objective: Dementia-related anxiety is associated with general anxiety and depression, which are risk factors for suicidal ideation. Consequently, dementia-related anxiety may be associated with suicidal ideation. When faced with a negative event (e.g. developing dementia), individuals primarily employ monitoring or blunting styles of coping. The present study investigated whether dementia-related anxiety and coping styles were associated with suicidal ideation in adults and whether coping styles moderated the relation between dementia-related anxiety and suicidal ideation.Methods: Online Mturk participants (n = 330) completed the Miller Behavioral Style Scale, Dementia Worry Scale, and Patient Health Questionnaire-9. Suicidal ideation was assessed with the Patient Health Questionnaire.Results: Dementia-related anxiety and monitor/blunter coping styles were independently associated with suicidal ideation in a multiple logistic regression; coping styles did not moderate the relation between dementia-related anxiety and suicidal ideation.Discussion: Greater dementia-related anxiety and less use of monitoring coping style were associated with suicidal ideation. Interventions to decrease suicide risk may benefit from taking into account individual differences in dementia-related anxiety and coping styles.

Predictors of treatment attendance and adherence to treatment recommendations among individuals receiving Cognitive Behavioral Therapy for Insomnia.

Insomnia disorders affect up to 10% of adults and are associated with other health problems and poor quality of life. Cognitive Behavioral Therapy for Insomnia (CBT-I) is an effective treatment; however, its effectiveness is hindered by poor attendance and adherence to treatment recommendations. The present study sought to identify predictors of attendance and adherence in CBT-I. Participants were 108 adults with insomnia disorder. Participants were primarily female (71.3%), middle aged (mean age = 50.5), and Caucasian (92.6%). Demographic variables, physical health problems, Beck Anxiety Inventory, Center for Epidemiologic Studies Depression-Revised scale, and Insomnia Severity Index were used to predict attending three or more sessions and adherence to consistent bedtime and waketime. Higher age was associated with better attendance and less deviation in bed and wake times. Anxiety and depression symptoms were associated with less attendance, and depression was also associated with more deviation in waketimes. To promote better attendance and adherence in treatment, depression or anxiety symptoms should be addressed before or during CBT-I. Identifying and tailoring CBT-I treatments toward the needs of different age groups may also improve attendance and adherence.

Giving Support and Suicidal Ideation in Older Adults with Vision-Related Diagnoses.

Objectives: Visual impairment in older adults may increase risk for depression and suicide. Research suggests that giving support to others may be associated with lower depressive symptoms in older adults, but much of the research has been in non-clinical populations. Furthermore, there is limited research on giving support and suicide risk.Methods: Using a sample of older adults with vision-related diagnoses (N = 101), this study investigated the association between informal support giving (unpaid support given to family, friends, or neighbors) and formal support giving (volunteering) on depressive symptoms and suicidal ideation. Linear regressions examined the relation between support giving and depression, and logistic regressions examined the relation between support giving and suicidal ideation.Results: Greater informal support giving was related to lower likelihood of reported suicidal ideation (OR: .82, 95% CI: .68-.99, p = .04), whereas volunteer activity was not significantly related to suicidal ideation. Neither volunteer behavior nor informal support giving was related to depressive symptoms.Conclusions: Providing informal support was associated with lower likelihood of endorsing suicidal ideation in older adults with vision impairment.Clinical Implications: Informal support giving may be a target for decreasing suicidal ideation among older adults with health impairments.

Resequencing of cv CRI-12 family reveals haplotype block inheritance and recombination of agronomically important genes in artificial selection.

Although efforts have been taken to exploit diversity for yield and quality improvements, limited progress on using beneficial alleles in domesticated and undomesticated cotton varieties is limited. Given the complexity and limited amount of genomic information since the completion of four cotton genomes, characterizing significant variations and haplotype block inheritance under artificial selection has been challenging. Here we sequenced Gossypium hirsutum L. cv CRI-12 (the cotton variety with the largest acreage in China), its parental cultivars, and progeny cultivars, which were bred by the different institutes in China. In total, 3.3 million SNPs were identified and 118, 126 and 176 genes were remarkably correlated with Verticillium wilt, salinity and drought tolerance in CRI-12, respectively. Transcriptome-wide analyses of gene expression, and functional annotations, have provided support for the identification of genes tied to these tolerances. We totally discovered 58 116 haplotype blocks, among which 23 752 may be inherited and 1029 may be recombined under artificial selection. This survey of genetic diversity identified loci that may have been subject to artificial selection and documented the haplotype block inheritance and recombination, shedding light on the genetic mechanism of artificial selection and guiding breeding efforts for the genetic improvement of cotton.