Dominant role of the non-forest woody vegetation in the post 2015/16 El Niño tropical carbon recovery.

The extreme dry and hot 2015/16 El Niño episode caused large losses in tropical live aboveground carbon (AGC) stocks. Followed by climatic conditions conducive to high vegetation productivity since 2016, tropical AGC are expected to recover from large losses during the El Niño episode; however, the recovery rate and its spatial distribution remain unknown. Here, we used low-frequency microwave satellite data to track AGC changes, and showed that tropical AGC stocks returned to pre-El Niño levels by the end of 2020, resulting in an AGC sink of 0.18 0.14 0.26 $$ {0.18}_{0.14}^{0.26} $$ Pg C year-1 during 2014-2020. This sink was dominated by strong AGC increases ( 0.61 0.49 0.84 $$ {0.61}_{0.49}^{0.84} $$ Pg C year-1) in non-forest woody vegetation during 2016-2020, compensating the forest AGC losses attributed to the El Niño event, forest loss, and degradation. Our findings highlight that non-forest woody vegetation is an increasingly important contributor to interannual to decadal variability in the global carbon cycle.

Expression pattern of the poplar GSTU family members in response to Alternaria alternate and PdbGSTU10 confers A. alternate resistance to Populus davidiana × P. bolleana.

Plant tau glutathione S-transferase (GSTU) is a kind of multiple functions enzyme, but its specific roles in poplar disease resistance remain uncertain. In this study, 27 PdbGSTU-encoding genes from Populus davidiana × P. bollena were cloned and their protein architectures and phylogenetic relationships were subsequently analyzed. Expression analysis revealed that PdbGSTUs were differentially expressed under Alternaria alternate infection. Then, the PdbGSTU10 was further induced by phytohormones and H2O2, especially salicylic acid (SA), indicating its potential role in the pathogen defense of poplar. Subsequently, gain- and loss-of-function assays showed that overexpressed PdbGSTU10 activated antioxidant enzymes and significantly decreased reactive oxygen species (ROS) content, ultimately improving the resistance to A. alternate in poplar. Conversely, silencing PdbGSTU10 had the opposite effect. Moreover, overexpressed PdbGSTU10 also increased the content of SA and induced the expression of SA signal-related genes. These results showed that PdbGSTU10 may enhance disease resistance in poplar by scavenging ROS and affecting the SA signaling pathway. Our findings contribute to the understanding of the functions of GSTU in woody plants, particularly in disease resistance.

Introducing Diagnostic Classification Modeling as an Unsupervised Method for Screening Probable Eating Disorders.

Screening for eating disorders (EDs) is an essential part of the prevention and intervention of EDs. Traditional screening methods mostly rely on predefined cutoff scores which have limitations of generalizability and may produce biased results when the cutoff scores are used in populations where the instruments or cutoff scores have not been validated. Compared to the traditional cutoff score approach, the diagnostic classification modeling (DCM) approach can provide psychometric and classification information simultaneously and has been used for diagnosing mental disorders. In the present study, we introduce DCM as an innovative and alternative approach to screening individuals at risk of EDs. To illustrate the practical utility of DCM, we provide two examples: one involving the application of DCM to examine probable ED status from the 12-item Short form of the Eating Disorder Examination-Questionnaire (EDE-QS) to screen probable thinness-oriented EDs and the Muscularity-Oriented Eating Test (MOET) to screen probable muscularity-oriented EDs.

Exploring the associations between muscularity teasing and eating and body image disturbances in Chinese men and women.

This study described muscularity teasing in both men and women and explored its associations with eating and body image disturbances in adults from China. A total of 900 Chinese adults (50% women) were recruited online. Correlation and regression analyses were conducted to examine the relationships between muscularity teasing and a battery of measures on eating and body image disturbances. Gender differences in the associations were examined. Men reported more muscularity teasing than women (31.6% men vs. 15.6% women; χ2(1,N = 900) = 31.99, p < .001). Muscularity teasing was significantly and positively correlated with all measures in both men and women. Muscularity teasing explained significant, unique variance in all measures for men and women, except for body fat dissatisfaction in women, beyond covariates (i.e., age, body mass index, and weight teasing). The relationships between muscularity teasing and eating and body image disturbances were generally stronger in men than women. Findings further suggest that muscularity teasing is an important factor related to eating and body image disturbances in men and women, but muscularity teasing might be more detrimental to men's eating behaviors and body image. Future research is needed to further explore the directionality and mechanisms of the links between muscularity teasing and eating and body image disturbances.

Self-objectification in Chinese pregnant women: The mixed role of functionality appreciation.

Extensions of objectification theory to pregnant women are few and continued research is needed to better understand the psychological consequences of significant changes to physical appearance during pregnancy. Specific interests in this area include functionality appreciation which may be particularly relevant to pregnancy. Research in this area is also lacking representation of non-Western cultural contexts. To this end, we employed an online survey to assess objectification theory and functionality appreciation in Chinese pregnant women (N = 345). Correlations showed that higher body surveillance and body shame were associated with higher disordered eating and psychological distress, and higher functionality appreciation was associated with lower body surveillance, body shame, and disordered eating. Mediation analyses suggested that higher body surveillance was associated with higher body shame which, in turn, was associated with higher disordered eating and psychological distress. Main effects suggested a negative association between functionality appreciation and body shame, but moderation analyses suggested that higher functionality appreciation strengthened the positive association between body surveillance and body shame. Findings underscore objectification theory as a useful framework to understand eating and body image disturbances and psychological distress in Chinese pregnant women and outline future directions to clarify the temporal nature of these associations and the precise role of functionality appreciation.

Psychometric network analysis of the Intuitive Eating Scale-2 in Chinese general adults.

The Intuitive Eating Scale-2 (IES-2) is a measure of intuitive eating behaviors that has been extensively validated, with traditional latent variable modeling approaches, in youth and adults from many different populations, including college students in China. However, there is still a lack of research on the psychometric properties of the IES-2 in adults from the Chinese general population. Moreover, psychometric network analysis, as a complement to traditional latent variable modeling approaches, has not been used for examining the psychometric properties of the IES-2. Thus, the present study used a psychometric network approach to evaluate the psychometric properties of the IES-2 in Chinese adults from the general population. A sample of 700 Chinese general adults (50% women; Mage = 31.13 years, SD = 9.19) recruited online were included in the present study. Psychometric network analysis was performed. Exploratory graph analysis (EGA) identified four dimensions, which were well separated in the estimated network. The network structure showed excellent stability and metric measurement invariance (i.e., network loadings) across men and women. Furthermore, several items on the IES-2 were identified as key nodes in the network of the IES-2 that may be important for the development and maintenance of intuitive eating. For example, two items (i.e., "I trust my body to tell me when to eat," and "I trust my body to tell me when to stop eating") related to reliance on body cues were the most impactful nodes in the complete network. The findings of our study provide a greater understanding of the IES-2 from the perspective of network analysis and have implications for applications of intuitive eating interventions for general populations.

Relations of body dissatisfaction with self-injurious thoughts and behaviours in clinical and non-clinical samples: a meta-analysis of studies published between 1995 and 2022.

Body dissatisfaction is a global public health concern. Self-injurious thoughts and behaviours (SITB), including suicidal ideation, suicide attempts and non-suicidal self-injury (NSSI), have been documented as potentially significant correlates of body dissatisfaction. However, prior findings regarding associations between body dissatisfaction and SITB have been somewhat inconsistent. Therefore, this meta-analysis was conducted to determine the nature and strength of such associations in both clinical and non-clinical samples. A literature search identified 83 relevant articles and extracted 234 effect sizes. Using a three-level random-effects model, mean effect sizes (r values) for relationships between body dissatisfaction and suicidal ideation, suicide attempts, and NSSI in clinical samples were 0.29 (95% CI, 0.22-0.37), 0.16 (95% CI, 0.13-0.20) and 0.26 (95% CI, 0.19-0.34), respectively. In non-clinical samples, these values were 0.22 (95% CI, 0.16-0.28), 0.24 (95% CI, 0.17-0.30) and 0.22 (95% CI, 0.15-0.29), respectively. Several study features (e.g., participant age, geographic region and instrument validity) emerged as significant moderators. This meta-analysis provides robust support for body dissatisfaction as a significant correlate of SITB across clinical and non-clinical samples in addition to identifying study characteristics that contribute to effect size variability. Implications are discussed for SITB research, prevention and intervention.