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Background Research on the utilization of outpatient and inpatient health services and its influencing factors has been well established, but there are few studies on the utilization of preventive medical services such as health checkup by residents in China. Objective To investigate the utilization of health checkup in Chinese residents aged 45 years and above and analyze its influencing factors. Methods Using data from the 2018 China Health and Retirement Longitudinal Study (CHARLS), the population aged≥45 years was selected to calculate the rate of participation in health checkup and the number of health checkup items from 2015 to 2018. Zero-inflation negative binomial regression was used to analyze the influencing factors of the number of health checkup items attended by residents. Results A total of 17 203 samples were included in this study, with an average age of (62.4±10.0), and the participation rate of 47.73% (8 21/17 203). The top three in participation rate in health checkup were Xinjiang Uygur Autonomous Region (96.47%), Shanghai (83.67%) and Beijing (82.05%), while the bottom three were Liaoning Province (35.41%), Qinghai Province (36.55%) and Fujian Province (36.94%). Among the 8 211 people who had participated in health checkup, the average age was (64.1±9.9) years old, and the median number of health checkup items per capita was 9 (5, 12). The top three in the number of health checkup items were Beijing Municipality (14 items), Shanghai Municipality (14 items) city and Xinjiang Uygur Autonomous Region (13 items), and the bottom three were Gansu Province (7 items), Anhui Province (7 items) and Liaoning Province (7.5 items). Non-parametric test showed that the number of health checkup items in urban residents was significantly higher than that in rural areas (10 items vs. 8 items), the eastern region was significantly higher than the central (10 items vs. 8 items), western (10 items vs. 8 items) and northeast (10 items vs. 8 items) region, the western region was significantly higher than the central region (9 items vs. 8 items) (P

This study examined the reciprocal prospective associations between commitment, forgiveness, and different aspects of marital well‐being (marital satisfaction and marital instability) among Chinese newlywed couples and the gender differences in these associations. The Vulnerability‐Stress‐Adaptation (VSA) model posits reciprocal associations between adaptive processes and relationship satisfaction. However, the directionality of the associations between adaptive processes and marital satisfaction may differ from the associations between adaptive processes and marital instability in Chinese societies due to the emphasis on relationship maintenance. Based on three annual waves of data from 268 Chinese newlywed couples (Mage = 29.59, SD = 3.25 for husbands; Mage = 28.08, SD = 2.51 for wives), a cross‐lagged approach was used to examine the reciprocal associations between commitment, forgiveness, and marital satisfaction/instability. We found: (a) reciprocal associations between commitment/forgiveness and marital satisfaction (wives only); (b) reciprocal associations between forgiveness and marital instability (husbands only); and (c) wives' commitment at Wave 2 mediated the association between wives' commitment at Wave 1 and wives' marital satisfaction at Wave 3. Extending the VSA model, findings suggest different reciprocal associations between commitment, forgiveness, and different aspects of marital well‐being among Chinese newlywed couples. Results highlight the important role of culture and gender in marital relationships and clinical practice. [ABSTRACT FROM AUTHOR]

This study developed the Couple Interaction Pattern Scale (CIPS) based on the interpersonal theory, comprising five subscales: friendly complementary (FC), hostile complementary (HC), mutual hostile‐dominant (MHD), friendly‐dominant eliciting hostile‐submissive (FDHS), and hostile‐dominant eliciting friendly‐submissive (HDFS). The psychometric properties of the CIPS were examined through three independent studies. Study one conducted item reduction and preliminary analysis using a sample of 662 married individuals, with an additional 80 married individuals for test–retest reliability assessment. Study two validated the scale through 1207 married individuals. In study three, the effect of couple interaction pattern (CIP) on marital quality was analyzed among 310 newlywed couples using the actor–partner interdependence model (APIM). Results supported the construct validity, acceptable internal consistency, and test–retest reliability of the CIPS. Besides, concurrent validity was also proved by associations with conflictual communication patterns, marital quality, stability, emotional connection, and perceived partner support. APIM analysis also supported the association between CIP and marital quality. [ABSTRACT FROM AUTHOR]

The purpose of this study is to investigate and compare the significant influencing factors of driver injury severity in single-vehicle (SV) crashes under foggy and clear weather conditions. Based on data for SV crashes in Shandong Province, China, the mixed logit model (MLM) was employed to interpret driver injury severity for SV crashes in clear and foggy weather. The results showed that there are significant differences in the influencing factors of the severity of SV crashes in foggy and clear weather. Specifically, 15 factors are significantly associated with the severity of SV crashes in clear weather, and 18 factors are significantly associated with the severity of SV crashes in foggy weather. In addition, young drivers (age, Author(s): Fulu Wei [1,2]; Zhenggan Cai [1]; Pan Liu [2]; Yongqing Guo (corresponding author) [1]; Xin Li [1]; Qingyin Li [1] 1. Introduction The investigation of single-vehicle (SV) crash severity [...]

As one of the most densely populated, economically developed, and outwardly open urban agglomerations in China, the Pearl River Delta (PRD) urban agglomeration is a key player in achieving China's carbon peak and carbon neutrality targets. This study analyzes low-emission development by examining the evolutionary patterns of carbon dioxide (CO2) emissions and the decoupling relationship between economic growth and CO2 emissions, using the latest available data from 2000 to 2020. Here are the main findings: (1) We found a significant fluctuation in the decoupling statuses between economic advancements and CO2 emissions within the PRD domain. Predominantly, a weak decoupling scenario was observed, where economic proliferations were paralleled by nearly equivalent increments in CO2 emissions. (2) The growth rate of carbon emissions increased significantly relative to economic expansion during 2015–2020, especially pronounced in cities such as Guangdong, Zhuhai, Foshan, and Dongguan. This delineates the persistent challenges in steering towards a pathway of energy conservation and emission abatement in the region. (3) Furthermore, a differential role of elasticity factors was noted across cities: Guangzhou and Shenzhen witnessed a significant influence of energy-saving elasticity in fostering a decoupling between economic surge and CO2 emissions, whereas in other cities, the emphasis shifted towards emission-reduction elasticity as a more vital determinant. The results of this study are of great significance for guiding policy makers and stakeholders in urban clusters across China and in similar regions globally to achieve low carbon development goals. [ABSTRACT FROM AUTHOR]