How does interparental conflict affect adolescent preference-for-solitude? Depressive symptoms as mediator at between- and within-person levels.

This 3-year longitudinal study explored the mediating role of depressive symptoms in the relations between interparental conflict (IPC) and preference-for-solitude (PFS). Participants were 1,039 Chinese adolescents (53.9% boys) between 11 and 15 years old (MT1 = 12.37, SD = .58). Data were collected at three time points and included maternal reports of IPC, adolescent reports of depressive symptoms, peer nominations of PFS. Results from multilevel mediation analyses indicated that at both the between- and within-person levels, statistically significant indirect effects were found for depressive symptoms as a mediator of the relation between IPC and PFS. That is, elevated IPC predicted adolescent increased depressive symptoms, which in turn, were associated with heightened PFS. As well, within a given adolescent, higher frequencies of IPC were a significant positive predictor of depressive symptoms for that adolescent, and in turn, changes in depressive symptoms were positively associated with changes in PFS over time. These findings highlight the influence of IPC on early adolescents' maladaptive outcomes over time. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Spatial Relationships and Impact Effects between Urbanization and Ecosystem Health in Urban Agglomerations along the Belt and Road: A Case Study of the Guangdong-Hong Kong-Macao Greater Bay Area.

A healthy ecosystem is fundamental for sustainable urban development. Rapid urbanization has altered landscape patterns and ecological functions, resulting in disturbances to ecosystem health. Exploring the effects of urbanization on ecosystem health and the spatial relationships between them is significant for cities along the "Belt and Road" aiming to achieve sustainable regional development. This study took the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) as an example and measured the urbanization level (UL) and ecosystem health index (EHI) from 2000 to 2020 using multisource data. We used bivariate spatial autocorrelation, the geographically weighted regression model (GWR), and the optimal parameters-based geographical detector (OPGD) model to clarify the impact of urbanization on ecosystem health and the spatial relationship between them from multiple perspectives. The major findings of this study were: (1) the EHI in the GBA decreased significantly during the study period, dropping from 0.282 to 0.255, whereas the UL increased significantly, exhibiting opposite spatial distribution features; (2) there was a significant negative spatial correlation between UL and the EHI and significant spatial heterogeneity between high-low and low-high types in the GBA; (3) the negative effects of urbanization on ecosystem health were predominant and becoming more pronounced in the central GBA. Moreover, urbanization had an increasingly significant negative effect, leading to the deterioration of ecosystem health, in the central GBA. Population urbanization drove land urbanization, which became the main factor affecting ecosystem health in the GBA. Overall, urbanization had a significant negative effect on ecosystem health, with this impact being particularly prominent in the core urban junctions of the GBA, which require urgent attention. The results of the study provide a basis for decision making in the context of the steady urbanization and ecosystem health protection of cities along the "Belt and Road".

Ecosystem Health Responses of Urban Agglomerations in Central Yunnan Based on Land Use Change.

Land use change in urban agglomerations is gradually becoming a major cause and a key factor of global environmental change. As a consequence of the interaction between land use and ecological processes, the transformation in natural ecosystem structure and function with human activity disturbances demands a systematic assessment of ecosystem health. Taking the Central Yunnan urban agglomeration, undergoing transition and development, as an example, the current study reveals the typical land use change processes and then emphasizes the importance of spatial heterogeneity of ecosystem services in health assessment. The InVEST model-based ecosystem service assessment is incorporated into the ecosystem health evaluation, and hotspot analysis is performed to quantitatively measure the ecosystem health response degree to land use according to spatial latitude. The study had three major findings: First, the urban land expansion in the urban agglomeration of central Yunnan between 1990 and 2020 is the most significant. Further, the rate of the dynamic change of urban land is 16.86%, which is the highest among all land types. Second, the ecosystem health of the central Yunnan urban agglomeration is improving but with obvious spatial differences, showing a trend of increasing from urban areas to surrounding areas, with the lowest ecosystem health level and significant clustering in the areas where the towns are located. The ecosystem health level is mainly dominated by the two classes of ordinary and well grades, and the sum of the two accounts for 63.35% of the total area. Third, the process of land transfer, mutual transfer between forest and grassland, and conversion from cropland to forest land contributed the most to the improvement of ecosystem health across the study area. Furthermore, the conversion from cropland and grassland to urban land is an important cause of the sustained exacerbation of ecosystem health. Significantly, the study provides a scientific reference for maintaining ecosystem health and formulating policies for macro-control of land in the urban agglomerations of the mountain plateau.

Psychometric Evaluation of the Parental Reflective Functioning Questionnaire in Chinese Parents.

Parental reflective functioning (PRF) is important for parenting and child development. To effectively assess PRF in Chinese parents, this study aimed to revise the Parental Reflective Functioning Questionnaire (PRFQ) for the Chinese context. The original Chinese version of the PRFQ (PRFQ-C) was revised by following psychometric validation procedures in a sample of Chinese parents (N = 2,021, 1,034 mothers and 987 fathers). A series of psychometric analyses, including confirmatory factor analysis (CFA), internal consistency reliability analysis, discriminant validity, and criterion-related validity analysis, and analysis for measurement invariance between mothers and fathers, were conducted. The CFA results indicated that the final 12-item, three-factor model had a good fit {χ 2(49) = 472.381; CFI = 0.929; TLI = 0.904; RMSEA = 0.065, 90%CI = [0.060, 0.071]}. The Chinese version of the PRFQ with 12 items (PRFQ-12C) showed satisfactory reliability (omega = 0.68-0.82), discriminant validity [heterotrait-monotrait (HTMT) values < 0.85], and criterion-related validity. The PRFQ-12C also had measurement invariance across mothers and fathers. In conclusion, the PRFQ-12C is psychometrically sound and can be applied in China.

[Landscape ecological risk assessment and influencing factors in ecological conservation area in Sichuan-Yunnan provinces, China.] / å·æ»‡ç”Ÿæ€å±éšœåŒºæ™¯è§‚ç”Ÿæ€é£Žé™©è¯„ä»·åŠå½±å“å› ç´ .

It is important for preventing and resolving landscape ecology risk and promoting regional sustainable development to explore the characteristics of temporal and spatial variations of landscape ecology risk of key ecological function zone and to reveal the potential influence of human activity on aggravation of landscape ecological risk. Based on the land cover data of 2000, 2010, and 2020, we constructed a model of risk assessment on landscape ecology, incorporating a landscape index and an assessment of ecological vulnerability, with the support of ArcGIS 10.8 and Fragstats 4.2. The spatial analysis method was used to examine the temporal and spatial variations of landscape ecology risk in ecological conservation in Sichuan-Yunnan provinces. We used the Geodetector to quantify the impacts of natural and social-economy factors in different ranges of region on landscape ecological risk. The results showed that from 2000 to 2020, the area of artificial land surface, water body, shrubland in the study area showed an upward trend, while the area of forest, cultivated land, grassland, wetlands, barren land, and permanent snow cover and glacier showed an downward trend. There was remarkable transfer of landscape types among forest, grassland and cultivated land, especially for the transfer from cultivated land to artificial surface. The mean value of landscape ecological risk had been reducing. The classes of landscape ecological risk was consistent with the changes and shifts of landscape. Landscape ecological risk was mainly at lower, low, and high levels in ecological conservation in Sichuan-Yunnan provinces. Natural factors, including elevation and precipitation, generally drove the temporal-spatial variations of landscape ecological risk. In addition, factors such as economy, society and regional accessibility could contribute to prominent impacts on local area suffering from pejorative risk.