Interactive Effects Research Articles

Succession planning practices and succession success in family-owned businesses: the role of leadership style as internal branding mechanism

PurposeAlthough leadership style plays a critical role in succession planning practices and succession success, empirical examination of its influence on the relationship between succession planning and success of succession in family-owned SMEs has received little attention in the literature. This study examines the interactive effect of the various types of leadership styles as internal branding mechanisms on the success of succession in family-owned SMEs.Design/methodology/approachWe analyzed the data from 124 managers/CEOs of family-owned SMEs that have at least transitioned beyond one incumbent leader using SPSS Version 29.FindingsThe result shows that succession planning practices are positively associated with succession success. It further shows that leaders who brand themselves as transformational and participatory leaders have a positive, significant interactive effect on the relationship between succession planning activities and succession success. The positive relationship between succession planning activities and succession success is dampened when managers rely too heavily on a transactional leadership style. Both autocratic and laissez-faire types of leadership have no significant interactive effect on the relationship.Originality/valueThe study is distinct from past studies. Until now, knowledge about the interactive effect of the various leadership styles as internal branding mechanisms on the relationship between succession planning practices like coaching, mentoring, job rotation and training and succession success in family-owned businesses remains limited. Theoretically, the study is pioneering in the sense that it is among the first studies that extends internal branding to succession planning in family-owned businesses. The study enlightened our understanding of how the various leadership styles and internal branding mechanism influence succession success in family-owned SMEs.

The Well-Being of Doctoral Students in Education: An Ecological Systems Perspective.

This study aims to explore the factors that influence the well-being situation of doctoral students in education from a qualitative perspective and draws on the ecological systems theory as an overarching framework. A total of 18 doctoral students in education from 3 universities in Hong Kong were interviewed. In line with the ecological systems theory, individual influential factors may embed and interact with all layers of systems (i.e., the microsystem, the mesosystem, the exosystem, the macrosystem, and the chronosystem) surrounding the doctoral students that hinder or boost their well-being, respectively. These six main areas of concern were identified from a thematic analysis of participants' responses. The study highlighted several salient influential factors of doctoral students' well-being, such as coping strategies, social relations, and their living and cultural environment. An interactive effect among specific factors, such as the COVID-19 pandemic and social movements, was also identified. Findings provide theoretical insights and offer recommendations for improving doctoral students' well-being.

Soil function-microbial diversity relationship is impacted by plant functional groups under climate change

Understanding the interactions between plant and soil microbial diversity is crucial for predicting ecosystem responses to environmental changes. While the individual roles of plant and microbial diversity in driving ecosystem functions have been widely investigated, their interplay especially under stress conditions remains largely underexplored. This study investigated how interactions between plant and microbial diversity affect key soil functions during and after drought. We simultaneously manipulated soil microbial diversity and plant species richness, while also considering the influence of plant functional groups (PFGs), to investigate their interactions and effects on key soil functions. Our results revealed independent and interactive effects of plant and microbial diversity in shaping soil functions. Microbial diversity loss significantly altered microbial community structure and impacted microbially-driven soil N and P pools and processes such as N-mineralization. These effects were modulated by plant species richness and varied across different PFGs. The relative influence of plant and microbial diversity on soil functions was context-dependent. Microbial diversity showed stronger effects on specific functions, such as phosphatase activity, and under the drought condition. Plant diversity, particularly through PFGs (e.g. legumes), played an independent role in shaping the microbial-driven soil functions. These findings advance mechanistic insights and highlight the importance of considering both above- and belowground biodiversity, along with their interactions, in shaping soil functions and ecosystem resilience, particularly under environmental stress. Further, it emphasizes the need to explicitly consider PFGs, along with above- and belowground biodiversity, as a strategy for preserving essential belowground functions in the face of ongoing environmental changes.

A Study of Chinese University Students’ English Learning Motivation, Anxiety, Use of English and English Achievement

Research has found that contact with a second language (L2), L2 motivation and foreign language anxiety are important variables affecting L2 learning. Nevertheless, not much research has explored the relationships among these variables and their interactive effects on L2 learning outcomes. The present large-scale survey study examined the relationships between English learning motivation, English classroom anxiety and use of English, as well as their predictive effects on Chinese university students’ English achievement. A total of 439 randomly sampled students from two Chinese universities in Beijing answered the background information questionnaire, the 8-item English Classroom Anxiety Scale and the 35-item English Learning Motivation Questionnaire. The major findings were as follows: (a) English learning motivation, English classroom anxiety and use of English were significantly correlated with one another, and (b) English classroom anxiety, use of English and English learning motivation generally significantly predicted the students’ English achievements. These findings confirm the importance of L2 motivation, foreign language anxiety and contact with the L2 for second language learners. Hence, specific suggestions (e.g., reading and listening to more of a second language, creating a supportive and relaxed L2 classroom environment, etc.) are discussed regarding how to enhance L2 learning motivation, reduce foreign language anxiety and increase contact with the L2 in second language learning, so as to ensure sustainable development in second language learning.

The relationships between 2D and 3D green index altered by spatial attributes at high spatial resolution

Understanding the relationship between 2D and 3D green indices holds significant implications for governance, especially amid the escalating demand for urban green spaces during rapid urbanization. However, the existing studies reveal inconsistent results pertaining to the relationships between 2D and 3D green indices and lack a systematic examination of spatial attributes' influence on the relationships. This study addresses these gaps by 1) assessing the correlation between 2D and 3D green indices using high-resolution data, 2) identifying spatial attributes that alter the 2D-3D association, and 3) determining the thresholds of spatial attributes that significantly impact the 2D-3D relationships. The Moderation Model was initially introduced to evaluate the mechanisms within its respective field. High-resolution data was collected from a campus, focusing on key spatial attributes: tree cover density (TC), plot ratio (PR), and vegetation composition (VC). NDVI and GVI were chosen to represent the 2D and 3D green index. The results indicate a significant correlation between NDVI and GVI (R=0.478, p<0.005). TC was identified as the fundamental moderator of the association. A medium TC (32.46 %) was the threshold for a significant NDVI - GVI correlation. Only at low TC (0–10.82 %), interactive effects between spatial attributes were observed: VC (type (e)) substituted NDVI to affect GVI directly; Above a PR of 1.95, the correlation between NDVI and GVI diminishes. In general, NDVI cannot substitutes GVI in areas where TC is higher than 32.46 %, or in areas where TC is lower than 10.82 % with many tall buildings (higher than 8 floors). The findings innovatively reveal the dynamic variation and thresholds in the 2D-3D green index relationships based on site-specific attributes rather than the resolution of data. Practically, a decision-making tree of green index governance is then proposed for relevant stakeholders to choose according to different site conditions.

Dynamic Interactive Effects of Technological Innovation, Transportation Industry Development, and CO2 Emissions

This paper aims to clarify the intricate relationships between technological innovation, transportation industry development, and CO2 emissions to facilitate a positive synergy among technology, the economy, and climate, advancing the fulfillment of the ‘double carbon’ goal. Utilizing panel data from 30 provinces in China from 2005 to 2020, we employ the panel vector autoregressive model using a generalized method of moments to empirically examine the dynamic interactive effects between these participants. The findings reveal that the transportation industry significantly promoted the inhibitory impact of technological innovation on CO2 emissions. However, such reductions cannot counterbalance the rise in emissions from the transportation industry. Moreover, its effects varied significantly across regions. Specifically, transportation industry development within eastern China contributed to a shift in the local carbon emission effects from positive to negative under the positive influence of technological innovation. In the northeast, the transportation industry enhanced the inhibitory effect of technological innovation on CO2 emissions. In contrast, across the western region, industrial development in transportation intensified the role of technological innovation in promoting CO2 emissions. Furthermore, this work found that CO2 emissions notably diminished the CO2 reduction performance of technological innovation in the eastern part and enhanced this performance in the northeastern region. These findings further revealed the complex interplay between technological innovation, the transportation industry, and CO2 emissions. They offer insights for policymakers to tailor region-specific technologies to bolster the ‘dual carbon’ goal and sustainable transportation development strategies, thereby achieving CO2 reduction.

Bridging the Past, or Breaking From It? Leader Continuity Rhetoric and Nontarget Employee Diversity Initiative Support

Organizations launch diversity initiatives to promote diversity within their ranks, improve the work experiences of underrepresented groups, and satisfy growing demands for diversity in workplace settings. While typically welcomed by the target group, diversity initiatives can be compromised when employees who are not the initiative’s targets—for example, men in the case of gender diversity initiatives—withhold their support. Particularly organizations that are mostly composed of nontargets may thus struggle with a lack of support for their diversity initiatives. To understand how organizations can successfully implement diversity initiatives while preserving nontarget support, we take an uncertainty management perspective and examine the interactive effects of diversity practice type (identity-conscious vs. identity-blind) and leader continuity rhetoric (high vs. low vision of continuity) on nontarget support. In Study 1, using data from a 2 × 2 between-person field experiment in a firefighter organization, we find that framing the initiative under a vision of high (vs. low) continuity preserves nontargets’ anticipatory distributive justice in the face of identity-conscious (vs. identity-blind) practices and thereby promotes initiative support. Study 2, a vignette experiment, replicates our findings and shows that other justice dimensions above and beyond distributive justice appear secondary in this context. Our work has important implications for managing the initiation phase of diversity initiatives in organizations primarily composed of nontargets in a way that fosters nontargets’ perceived justice and support.

The Responses of Soil Extracellular Enzyme Activities and Microbial Nutrients to the Interaction between Nitrogen and Phosphorus Additions and Apoplastic Litter in Broad-Leaved Korean Pine Forests in Northeast China

The impact of nitrogen and phosphorus deposition alternations, as well as apoplastic litter quality and quantity, on soil nutrient cycling and soil carbon pool processes in forest ecosystems is of considerable importance. Soil ecological enzyme chemistry is a powerful tool for elucidating the nutrient limitations of microbial growth and metabolic processes. In order to explore the responding mechanisms of soil ecological enzyme chemistry to the simultaneous changes in apoplast input and nitrogen and phosphorus deposition in temperate coniferous and broad-leaved mixed forests, an outdoor simulating experiment was conducted. The results demonstrate that the treatments involving apoplastic material and nitrogen and phosphorus additions had significantly impacted soil nutrient levels across different forest types. Apoplastic treatments and N-P additions had a significant effect on the soil total organic carbon (TOC), dissolved organic carbon (DOC), soil total soluble nitrogen (TSN), soil available phosphorus (SAP), soil total nitrogen (TN), soil total phosphorus (TP), and microbial biomass carbon (MBC). However, the effects on soil microbial biomass (MBN) and microbial biomass phosphorus (MBP) were insignificant. The apomictic treatments with N and P addition did not result in a statistically significant change in soil C-hydrolase activities (β-1,4-glucosidase BG, β-1,4-xylosidase BX, cellobiohydrolase CBH, phenol oxidase POX, and peroxidase PER), N-hydrolase activities (β-1,4-N-acetylglucosaminidase NAG and L-leucine aminopeptidase LAP), or P-hydrolase activities (Acid phosphatase AP). Although the apomictic treatments did not yield a significant overall impact on carbon hydrolase activity, they influenced the activity of specific enzymes, such as CBH, LAP, and PER, to varying degrees. The effects on BG, BX, CBH, AP, and C-hydrolase activities were significant for different stand types. The impact of apomictic treatments and N-P additions on soil nitrogen hydrolase activities was inconsequential with a minimal interactive effect. The highest correlation between PER, LAP, and N-hydrolase activities was observed in conjunction with elevated levels of nitrogen and phosphorus addition (N3L0, original litter treatment, and high amounts of N and P addition). These findings may provide a theoretical foundation for the management of ecosystem function in broad-leaved Korean pine forests.

Colour Analysis of Sausages Stuffed with Modified Casings Added with Citrus Peel Extracts Using Hyperspectral Imaging Combined with Multivariate Analysis

Recycling citrus peel waste offers several significant contributions to sustainability, transforming what would otherwise be discarded into valuable resources. In this study, the colour of sausages stored for 16 days, with varying amounts of orange extract added to the modified casing solution, was evaluated using response surface methodology (RSM) and a hyperspectral imaging system within the spectral range of 350–1100 nm for the first time. To enhance model performance, spectral pre-treatments such as normalisation, first derivative, standard normal variate (SNV), second derivative, and multiplicative scatter correction (MSC) were applied. Both raw and pre-treated spectral data, along with colour attributes, were fitted to a partial least squares regression model. The RSM results indicated that the highest R2 value, 80.61%, was achieved for the b* (yellowness) parameter using a second-order polynomial model. The interactive effects of soy oil and orange extracts on b* were found to be significant (p &lt; 0.05), and the square effects of soy oil on b* were significant at the 1% level. The identified key wavelengths for colour parameters can simplify the model, making it more suitable for practical industrial applications.

Association between plasma trimethylamine N-oxide and coronary heart disease: new insights on sex and age differences.

Elevated plasma trimethylamine N-oxide (TMAO) is related to atherosclerosis. Whether the relationship of TMAO and coronary heart disease (CHD) is influenced by sex or age is uncertain. We aim to explore the sex and age differences in the relationship between plasma TMAO and CHD risk and severity. A case-control study was conducted in patients undergoing elective coronary angiography. Matched by sex, age (±2 years), and operation date (±180 days), a total of 429 CHD case-control pairs were included. Plasma TMAO was quantified using liquid chromatography-tandem mass spectrometry. Logistic regression analyses were performed to evaluate the association between plasma TMAO and CHD risk and severity. The overall median (interquartile range) plasma TMAO level was 0.11 (0.06-0.18) μg/ml. After stratification by sex and age, and adjustment for common CHD risk factors, the association between TMAO and CHD risk was significant in the older (≥65 years) male subgroup [odds ratios (OR) = 1.57, 95% confidence interval (CI): 1.09-2.28, P = 0.016], but not in other sex-age subgroups (all P > 0.05). The relationship of plasma TMAO and CHD risk was modified by age (adjusted P interaction = 0.001) in male individuals. Plasma TMAO was also associated with a higher risk of multi-vessel disease in male patients with CHD (OR = 1.65, 95% CI: 1.18-2.32, P = 0.004), but not in females. Plasma TMAO is significantly positively associated with the risk and severity of CHD in Chinese men. Age has an interactive effect on the relationship between plasma TMAO and CHD risk in men. Our findings warrant further investigation.

Palygorskite improves growth performance and prevents liver damage in avian pathogenic Escherichia coli-challenged broiler chickens at an early age.

Avian pathogenic Escherichia coli (APEC) is a major bacterial infection that causes economic losses in the global poultry industry. Palygorskite (PAL) has been shown to enhance growth performance while improving antioxidative and anti-inflammatory properties of broilers. This study evaluated the protective effects of PAL on growth performance and liver function in broilers subjected to APEC challenge. A total of 320 one-day-old male Arbor Acres chicks were divided into four groups with eight replicates of ten birds each, based on a 2×2 factorial arrangement (basal diet or 5g/kg PAL-supplemented diet) and inoculation (bacterial culture medium or APEC). PAL increased body weight gain (BWG) prior to APEC challenge (P < 0.05). However, APEC caused losses in BWG, feed intake (FI), and feed efficiency, along with increased relative hepatic weight, hepatic pathology scores, and hepatic-cell apoptosis rate (P < 0.05). Compared to normal birds, APEC increased interleukin (IL)-1β, interferon-γ (IFN-γ), tumor necrosis factor-α (TNF-α), malondialdehyde (MDA), and nitric oxide (NO) levels, as well as lysozyme (LZM) and myeloperoxidase (MPO) activities, while decreasing total antioxidant capacity (T-AOC) and IL-10 levels, and total superoxide dismutase (T-SOD) and catalase (CAT) activities in both serum and liver, APEC also raised alanine aminotransferase (ALT) and aspartate aminotransferase (AST) activities, but reduced total protein (TP), albumin (ALB), immunoglobulin (Ig) A, IgG, and IgM levels in serum (P < 0.05). Moreover, APEC increased hepatic mRNA level of IL-1β, IFN-γ, TNF-α, nuclear factor kappa B, and inducible nitric oxide synthase (iNOS), while inhibited mRNA level of IL-10 (P < 0.05). In contrast, PAL increased BWG and FI, alleviated hepatic-cell apoptosis rate during the challenge period (P < 0.05). An incorporation of PAL reduced triglyceride and NO contents, ALT and AST activities, while increasing TP, ALB, IL-10, IgG, and IgM levels in serum, enhancing serum T-SOD and CAT activities, elevating hepatic T-AOC and CAT activities, inhibiting hepatic MDA accumulation, and reducing IL-1β levels and LZM activity in both liver and serum (P < 0.05). An interactive effect was found for hepatic TNF-α and iNOS mRNA expression, in which PAL inhibited their mRNA expression in APEC-challenged birds (P < 0.05). Overall, PAL addition partially mitigated the negative impact of APEC challenge on growth performance and liver function of broiler chicks at an early age.

Turn to the right, turn away from the green?—A nuanced analysis on how a populist radical right party affects environmental policy making in Sweden

AbstractPopulist radical right parties are on the rise all over Europe. Recent literature investigates their effects on environmental policy, however, often applying an overly broad perspective on the policy area and neglecting causal mechanisms. This article addresses both gaps in an in‐depth case study of partisan effects on Swedish environmental policy in the wake of increasing populist radical right influence. A novel data approach deriving party positions and policy output from the hard figures of budget proposals between 2001 and 2023, allows a nuanced analysis of environmental policy and its subsectors (e.g., nature conservation and climate mitigation). In summary, a traditional partisan effect is confirmed as a major explaining factor for environmental policy change, while the effect unfolds through altered coalition formation strategies leading to the exclusion of “green voices.” This brings to the fore interactive environmental policy effects of the populist radical right and center‐right parties in the context of changing party competition constellations more generally.

Contextualizing linguistic acculturation and alcohol use among Hispanic college students in the social digital environment.

Linguistic acculturation is a predictor of alcohol use among Hispanic college students, but existing linguistic acculturation measures do not capture language use in the social digital context (e.g., social media). Guided by erosion theory and past empirical findings, this study operationalized two dimensions of social digital linguistic acculturation (SDLA) and examined the interactive effects of SDLA with immigration generation-a demographic proxy for acculturation-in relation to alcohol use intentions and behaviors. Online questionnaires were completed by 246 Hispanic college students in central Texas between the ages of 18 and 29 (Mage = 21.0, SD = 2.4; 82.1% female) who reported current alcohol use. Measures included two dimensions of SDLA (SDLA-English and SDLA-Spanish) with items developed for this study and supported by exploratory factor analysis, immigration generation as a demographic proxy for acculturation, and three alcohol outcomes (intentions to use alcohol, alcohol consumption, and binge drinking). We specified three regression models in which immigration generation moderated the pathways between SDLA-English and SDLA-Spanish and each alcohol outcome. Contrary to hypotheses, lower rather than higher SDLA-English was related to greater intentions to use alcohol, greater alcohol consumption, and more frequent binge drinking when immigration generation was higher rather than lower. More aligned with expectations, lower SDLA-Spanish was related to more frequent binge drinking when immigration generation was higher. The link between SDLA and alcohol engagement is nuanced. This study's findings may be partially explained by acculturative stress in the context of social digital engagement, warranting further exploration. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Impacts of ramet density and herbivory on floral volatile emissions and seed production in Solidago altissima.

Plants produce an array of floral olfactory and visual cues to attract pollinators, including volatile organic compounds (VOC), which mediate plant-pollinator interactions and may be influenced by herbivory and neighboring plants. Consequently, these factors may affect plant fitness by disrupting pollination. However, most evidence comes from controlled experiments, limiting our understanding of how VOCs function in natural populations. This study investigated how herbivory and conspecific ramet density influence floral VOC profile, pollination, and seed production in a naturally occurring population of Solidago altissima. We recorded leaf herbivory and ramet density surrounding one focal ramet in 1-m2 plots. We collected VOCs from the floral headspace and measured ovary fertilization as a proxy for pollination success and the number of seeds produced by the focal ramet. Our findings revealed interactive effects between ramet density and herbivory on floral VOC emission, richness, and diversity. Specifically, at lower ramet densities, herbivory did not affect floral volatile emissions. However, in highly dense stands, herbivory suppressed floral volatile emissions. Despite these changes, floral volatiles did not affect pollination and the number of seeds in S. altissima. Our field-based findings underscore the importance of understanding the complex responses of floral VOCs to environmental stressors and their contributions to plant reproduction within natural communities. Our results suggest that while herbivory and ramet density influence floral scent, these changes do not affect reproduction in our study. Ultimately, generalist-pollinated plants like S. altissima might not rely heavily on chemical signaling during pollination.

Matching and driving mechanism analysis of the supply and demand relationships of soil conservation services in karst peak-cluster depression basin in Southwest Guangxi, China

The karst peak-cluster depression basin in southwestern Guangxi, characterized by a fragile ecological environment and intensive human activities, is characterized by rocky desertification and ecological function degradation. This degradation not only impairs the region’s ecological integrity but also limits its ecological and welfare benefits. Traditionally, the estimation of soil conservation service supply and demand in karst areas relies on internationally recognized models, which often exclude the critical factor of karst desertification. This omission introduces significant uncertainty in the assessment of soil supply and demand in karst terrains. To address this gap, our study employs an adapted revised universal soil loss equation model tailored for karst regions to conduct a quantitative analysis of the soil supply–demand relationship in southwestern Guangxi. We explore its spatiotemporal evolution and spatial matching characteristics utilizing geographic detectors to identify the driving factors influencing the ecological supply-to-demand ratio (ESDR). Our findings revealed the following: (1) From 2000 to 2020, the soil conservation supply–demand ratio in the study area showed a fluctuating upward trend, with an overall increase of approximately 63.29%. Specifically, there was a fluctuating increase from 2000 to 2008 and from 2013 to 2020, while a downward trend was observed from 2009 to 2012. (2) The predominant matching pattern of the soil conservation services in the research area was “low supply, low demand”, which was primarily located in the southeastern part of southwestern Guangxi. (3) The supply–demand relationship of soil conservation services is significantly influenced by factors such as vegetation coverage, slope, soil type, and lithology, with each factor exhibiting a marked interactive effect on the ESDR. This study evaluates and reveals the supply–demand relationship and driving mechanisms of soil conservation services in the karst region of southwestern Guangxi, which contributes to the precise formulation of strategies for rocky desertification prevention and ecological restoration.

The Compounding Effects of Negative Life Events and Peer Victimization on Internalizing Symptoms in Middle School

ABSTRACT Middle school is a time of transition associated with increases in peer victimization (PV) and stress that warrant additional attention. Middle school students (N = 256; 54.7% male; M age = 12.24, SD age = .94) completed measures of PV, negative life events (NLEs), anxiety, and depression. Students were assessed across 6 time points to examine if PV and the number of NLEs at baseline (Time 1; T1) had a unique and interactive effect on symptoms of depression and anxiety concurrently and over three school years. Results suggest that T1 PV, T1 NLEs, and their interactions were significantly associated with concurrent depression. Moreover, the association between T1 PV and the trajectory of depression was moderated by T1 NLEs. Associations with anxiety were not as substantial; nonetheless, T1 PV was significantly associated with concurrent anxiety. Findings clarify the cross-sectional and longitudinal association between PV and NLEs on internalizing symptoms in middle school with an emphasis on the substantial risk of depression symptomatology.

6893 The Interaction Effect Between BMI, Diabetes, and Age at Diabetes Onset on the Risk of Thyroid Cancer: A Population-Based Cohort Study

Abstract Disclosure: T. Hou: None. Y. Li: None. J. Tian: None. Z. Bloomgarden: None. Y. Shi: None. ObjectiveThe relationship between type 2 diabetes mellitus (T2DM) and thyroid cancer was confounded by some characteristics of diabetes. We aimed to determine the association of the presence of diabetes and, among persons with diabetes, the age at T2DM onset, BMI, and the interactive effect with the subsequent thyroid cancer risk. MethodsWe conducted a population-based longitudinal cohort study including 428,568 persons with new-onset T2DM matched with the general population (100,649,346 person-years). Risk of thyroid cancer by subgroups were calculated based on standardized incidence ratio (SIR), hazard ratio (HR), and Cox proportional hazards models. ResultsIn T2DM patients, 1142 thyroid cancer cases were identified during eight years of follow-up, with an incidence rate of 59.01/100,000 person-years and a higher SIR: 1.21 (95% CI: 1.14-1.28) compared to the general population. New-onset T2DM had an overall 21% higher risk of thyroid cancer. Both the earlier age at T2DM onset and higher BMI were associated with a significant increasing risk of thyroid cancer independently (T2DM onset age &amp;lt;50: SIR 1.46 (1.27-1.69); BMI ≥30.0 Kg/m2 SIR: 1.93 (1.57-2.38)). The highest risk of cancer appeared in the patients with both BMI ≥30.0 Kg/m2 and T2DM onset age &amp;lt;50 years (SIR=3.91, HR=3.04). Among patients with T2DM onset age &amp;lt;60 years, SIR shows an increasing trend of cancer risk with higher BMI levels, while no significant increasing trends with higher BMI in T2DM onset age ≥60 years. For patients with BMI ≥25.0 Kg/m2, SIR of cancer risk decreases with an later T2DM onset age, whereas no significant decreasing trends of cancer risk in BMI &amp;lt;24.9 Kg/m2 group. Obese (BMI ≥30.0 Kg/m2) patients had a significant higher HR of thyroid cancer only when T2DM onset age &amp;lt;60 years. ConclusionsBoth earlier age of T2DM onset (&amp;lt;50 years) and higher BMI (≥30 Kg/m2) contributed to higher risk of thyroid cancer. These results suggest that earlier screening of thyroid cancer might be appropriate in patients diagnosed with T2DM, especially in individuals with young-onset T2DM and obesity. Presentation: 6/3/2024

7288 A Preclinical Mouse Model of Gender-Affirming Hormone Therapy: Metabolic and Behavioral Outcomes

Abstract Disclosure: A. Yasrebi: None. K. Otersen: None. O. Groh: None. E. Guthman: None. I. Shmarakov: None. S. Campbell: None. T.A. Roepke: None. The long-term metabolic effects of gender-affirming hormone therapy (GAHT) is largely unknown, in part, due to the lack of properly designed preclinical animal models. Here we propose a rodent study design, beyond the classical endocrine model of gonadectomy and steroid treatment, to accurately reflect the reality of the trans experience. Specifically, trans women do not all seek or undergo orchidectomy (ORX) instead take estrogen supplementation along with an androgen blocker such as finasteride. In this study, 40 WT C57 male mice were divided into 4 groups of 10 mice - 1) intact with oil vehicle, 2) intact with estradiol benzoate (EB, 150 μg/kg/d) and finasteride (F, 0.25 mg/kg/d), 3) ORX with oil; and ORX with EB (150 μg/kg/d). Each mouse was dosed daily for 8 weeks while on a standard chow diet. Mice were pair housed and food intake and body weight were collected weekly prior to behavioral (open field, elevated plus, Y-maze) and metabolic (body composition, metabolic rates, activity, tolerance testing) phenotyping. Intact mice treated with EB+F exhibited less avoidance behaviors, potentially due to differences in movement, with no differences between treatments in the Y-maze. Cumulatively, Intact:EB+F gained less weight than Intact:oil (3.4 ± 0.4 g vs 5.3 ± 0.4 g), while ORX:oil mice gained less than ORX:EB (2.2 ± 0.5 g vs 5.5 ± 0.7 g). These interactive effects were due to differences in the gain of fat or lean mass between ORX and intact and lower cumulative food intake in ORX:oil mice (136 ± 3.8 g vs Intact:oil: 159 ± 4.9 g; Intact:EB+F: 167 ± 6.1 g; ORX:EB: 171 ± 3.4 g). Metabolic assessments found that Intact:EB+F exhibited elevated V.O2, V.CO2, and heat production in the light and dark cycle compared to Intact:oil, while ORX:EB only exhibited elevated heat production compared to ORX:oil. Similarly, Intact:EB+F and ORX:EB moved more than their counterparts during the dark cycle; however, only Intact:EB+F exhibited elevated wheel running. Tolerance tests (i.p.) found that glucose clearance was augmented in ORX:EB mice while insulin-induced glucose clearance was lower in Intact:EB+F compared to Intact:oil but modestly elevated by EB in ORX mice. These data, along with suppressed fasting blood glucose in ORX:EB mice, suggest that glucose homeostasis is differentially modulated by GAHT paradigms in mice. Analysis of hypothalamic, hepatic, adipose, and intestinal gene expression is currently underway. Collectively, these data, generated by using a translationally-relevant preclinical animal model, are the first to establish that metabolism is differentially affected by both steroid treatments and ORX and suggesting that the long-term metabolic effects of GAHT are dependent on the type of treatment. The underlying mechanisms and sites of action remain to be investigated. Presentation: 6/3/2024

Spatially Heterogeneous Relationships between Ecosystem Service Trade-Offs and Their Driving Factors: A Case Study in Baiyangdian Basin, China

Clarifying the complex relationships among ecosystem services (ESs) and their driving mechanisms is essential for effective ecosystem management and enhancing human welfare. Nonetheless, the current research on these issues still remains limited; therefore, further theoretical exploration is required. This study aims to quantitatively illustrate the trade-off strength of ESs and investigate the spatiotemporal heterogeneity connections between these relationships and various anthropogenic and natural factors in Baiyangdian basin, China, integrating InVEST, RMSE, geographical detector and MGWR methods. From 2000 to 2020, the total water yield (WY) and nutrient export (NE) increased, while the total carbon storage (CS) and habitat quality (HQ) decreased slightly. The trade-offs of ESs showed spatiotemporal heterogeneity. The most serious trade-off occurred between regulating services (CS and NE) and supporting services (HQ) in 2000, which was mainly distributed in the densely forested and grassed western and northern regions of the basin. The trade-off intensities of half of the pairwise ESs in 2020 increased, with the strengthened areas mainly located in the southeast of the watershed where built-up lands are concentrated. Various factors dominated the trade-offs among ESs, with the interactive effects of multiple drivers being more significant than those of individual factors. Land use type, vegetation cover and precipitation have the most pronounced effect on the trade-offs among ESs. The findings of this study may suggest and advocate for spatial ecological strategies to enhance the integrated and holistic advancement of various ESs and also serve as a reference for regional ecosystem governance and the attainment of sustainable growth.

8245 Estradiol Interacts with the Val66Met Single Nucleotide Polymorphism in the Brain-Derived Neurotrophic Factor Gene to Alter Endometrial Thickness in a Rat Model

Abstract Disclosure: S. Moosa: None. E. Kohlmeir: None. S. Kujawa: None. D. Korol: None. A. Prakapenka: None. Brain derived neurotrophic factor (BDNF) is most known for its involvement in cell development, survival, and plasticity in the nervous system. BDNF and its cognate receptors can also be found in non-neural tissue including the ovary and uterus in humans and in animal models, suggesting that BDNF signaling may regulate reproductive functions. Indeed, disruptions in BDNF signaling are associated with health conditions related to the reproductive system, such as endometriosis. Studies show that treatment with estradiol increases expression of uterine BDNF and its cognate receptors, suggesting that estradiol can modulate BDNF signaling and its effects in the reproductive system. A common human functional single nucleotide polymorphism (SNP) in the BDNF gene, Val66Met (rs6265), is thought to decrease activity-dependent release of BDNF, altering BDNF signaling. Using a CRISPR/cas9 rat model of the human Val66Met BDNF SNP, we investigated the interacting role of estradiol and this variation in the BDNF gene on female uterine structure. Middle-aged (11-14-months-old) female rats were either homozygous for the Val allele (Val/Val; control) or the Met allele (Met/Met; BDNF SNP). All rats were ovariectomized and after three weeks randomly assigned to receive subcutaneous treatment of vehicle (sesame oil) or estradiol (17beta-estradiol benzoate) for two consecutive days. Twenty-four hours after the second injection, rats were euthanized and tissue collected, weighed, and placed in fixative. Uterine tissue weights differed significantly by treatment and by genotype such that uterine horns were heavier in estradiol-treated compared to vehicle-treated rats within each genotype and uterine horns were heavier in Met/Met compared to Val/Val rats within each treatment condition. To determine which uterine layer contributed to the weight differences, uterine horns were sectioned and stained with hematoxylin and eosin. Thickness of myometrium, endometrium, and lumen were individually measured. Although there were no treatment and no genotype effects on myometrial thickness, there were significant treatment and genotype effects on endometrial thickness. Of note, the endometrium of estradiol-treated Met/Met rats was thicker compared to vehicle-treated Met/Met rats and compared to estradiol-treated Val/Val rats, suggesting that estradiol and the BDNF gene variation interact to modulate endometrial size. Lumen circumference did not differ between genotypes but did increase with estradiol compared to vehicle treatment within each genotype. Altogether, findings suggest that BDNF genotype affects uterine structure, notably the endometrium. Differences with BDNF gene variation emerged with estradiol exposure, implicating the hormone’s role in modulating BDNF signaling and warranting future research on the interactive effects of estradiol and BDNF genotype on the endometrium. Presentation: 6/2/2024