Overage labor, intergenerational financial support, and depression among older rural residents: evidence from China.

Background: Depression is a major factor affecting the happiness of older rural residents. With the increasing aging of the Chinese population, overage labor is becoming more prevalent in rural areas of China. This study aimed to assess whether, and if so, how, overage labor affects depression status in older rural residents. Methods: Using data from the China Health and Retirement Longitudinal Study, this study explored the association between overage labor and depression among older rural residents by using ordinary least squares and moderated mediation models. Results: The results show that overage labor significantly reduced levels of depression in older rural residents. This result remained robust after using propensity score matching and double machine learning. Furthermore, the improvement of older rural residents' depression via overage labor is mainly achieved through work income, but this mediating effect is negatively moderated by intergenerational financial support. This implies that in traditional Chinese rural society, intergenerational financial support from children plays an important role in reducing depression among older rural residents. Conclusion: Our findings have potential policy implications for China and other developing countries in terms of addressing issues related to aging and depression in older adults.

Predicting unmet activities of daily living needs among the oldest old with disabilities in China: a machine learning approach.

Background: The ageing population in China has led to a significant increase in the number of older persons with disabilities. These individuals face substantial challenges in accessing adequate activities of daily living (ADL) assistance. Unmet ADL needs among this population can result in severe health consequences and strain an already burdened care system. This study aims to identify the factors influencing unmet ADL needs of the oldest old (those aged 80 and above) with disabilities using six machine learning methods. Methods: Drawing from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) 2017-2018 data, we employed six machine learning methods to predict unmet ADL needs among the oldest old with disabilities. The predictive effects of various factors on unmet ADL needs were explored using Shapley Additive exPlanations (SHAP). Results: The Random Forest model showed the highest prediction accuracy among the six machine learning methods tested. SHAP analysis based on the Random Forest model revealed that factors such as household registration, disability class, economic rank, self-rated health, caregiver willingness, perceived control, economic satisfaction, pension, educational attainment, financial support given to children, living arrangement, number of children, and primary caregiver played significant roles in the unmet ADL needs of the oldest old with disabilities. Conclusion: Our study highlights the importance of socioeconomic factors (e.g., household registration and economic rank), health status (e.g., disability class and self-rated health), and caregiving relationship factors (e.g., caregiver willingness and perceived control) in reducing unmet ADL needs among the oldest old with disabilities in China. Government interventions aimed at bridging the urban-rural divide, targeting groups with deteriorating health status, and enhancing caregiver skills are essential for ensuring the well-being of this vulnerable population. These findings can inform policy decisions and interventions to better address the unmet ADL needs among the oldest old with disabilities.

Overage labor, value perceptions, and happiness in urban older adults' lives: Empirical evidence from China.

Background: Over the past four decades, China has seen a rapid increase in the level of urbanization, along with an increasing number of older adults. How to promote active aging in the midst of rapid urbanization has become a new challenge for the Chinese government and all sectors of society. This study attempts to verify the relationship between overage labor and happiness in life, and further explore the possible mediating role of multidimensional value perceptions. Method: Based on 5010 valid samples from the 2011, 2013, 2015, and 2018 China Health and Aging Tracking Survey datasets (CHARLS), the study explored and tested the differences in happiness in life between older adults with overage labor and retired older adults. In addition, this study further examined the mediating role of multidimensional value perceptions using a mediation model. Results: (1) Urban older adults with overage labor had significantly higher levels of happiness in life compared to urban retired older adults. (2) The higher level of life happiness of urban older adults with overage labor depends on their perceptions of different values; (3) Specifically, the realization of value perceptions in personal, family and social dimensions through labor contributes to the life happiness of urban older adults with overage labor. Conclusion: There is a significant difference between urban old adults with overage labor and urban retired old adults in terms of happiness in life. At the same time, the study confirmed that all three aspects of value perceptions, such as personal, family and social, are the mediating mechanisms between overage labor and urban old adults in terms of happiness in life.

Is life satisfaction higher for citizens engaged in political participation: Analysis based on the Chinese social survey.

BACKGROUND: Political participation is an important component of civil rights. Several studies have shown that citizens' political participation not only influences the allocation of public resources, but also has a positive correlation with participants' life satisfaction. Recently, political participation has become increasingly frequent in China; however, the research on Chinese citizens' political participation and life satisfaction is insufficient. Therefore, this study examined the relationship between political participation and life satisfaction in the Chinese cultural context, and how this relationship varied under different conditions. METHODS: Based on 8,475 respondents from the 2015 Chinese Social Survey, ordinary least squares modeling was used to investigate the relationship of Chinese citizens' political participation and their life satisfaction, and the differences that might exist in this relationship. RESULTS: Political participation was closely related to life satisfaction. Compared with non-political participants, the life satisfaction of political participants was 0.133 units higher, which was significant at the 1% level. Regarding the types of political participation, citizens engaged in institutionalized political participation had higher life satisfaction, whereas citizens engaged in non-institutionalized political participation had lower life satisfaction. Furthermore, two social capitals, namely social tolerance and social trust, were the mediating variables linking political participation to citizens' life satisfaction. CONCLUSIONS: In China, citizens engaged in political participation had higher life satisfaction, in contrast, citizens engaged in non-institutionalized political participation had lower life satisfaction.

Photocurrent, humidity sensitivity and proton conductivity properties of a new sulfide semiconductor CsCuS4.

Copper chalcogenides have drawn considerable attention due to their prominent semiconducting properties. A new Cu-containing semiconductor, namely, CsCuS4 (1), was obtained by a halide salt flux method. Its structure featured 1D infinite ∞1[CuS4] - chains, where the polysulfide anion S42- was relatively rare in Cu chalcogenides. The compound was multifunctional and exhibited significant photocurrent, humidity sensitivity, and proton conductivity properties. Specifically, it exhibits an "on" state photocurrent response of 0.95 µA cm-2 and an "off" state photocurrent response of 0.55 µA cm-2 with good reversibility. The humidity-sensitive resistance in dry air (10% RH) could reach up to six orders of magnitude higher than that in wet air (100% RH). Compound 1 showed an activation energy of 0.19 eV and may have potential electrochemical applications.

Flexible Piezoresistive Pressure Sensor Based on Electrospun Rough Polyurethane Nanofibers Film for Human Motion Monitoring.

Flexible piezoresistive pressure sensors have been attracted a lot of attention due to their simple mechanism, easy fabrication, and convenient signal acquisition and analysis. Herein, a new flexible piezoresistive sensor based on microstructured electrospun rough polyurethane (PU) nanofibers film is assembled. The microstructured PU film with tiny bumps is prepared in one step via electrospinning technology, which imparts a microstructured rough upper surface and a smooth lower surface. With this unique microstructure, we have made it possible for PU/Ag films to serve as sensing layers for piezoresistive sensors by introducing a silver conductive layer on the surface of electrospun PU film. The fabricated piezoresistive pressure sensor delivers high sensitivity (10.53 kPa-1 in the range of 0-5 kPa and 0.97 kPa-1 in the range of 6-15 kPa), fast response time (60 ms), fast recovery time (30 ms), and long-time stability (over 10,000 cycles). This study presents a fabrication strategy to prepare the microstructured PU nanofiber film using electrospinning technology directly, and the as-developed sensor shows promise in applications such as wrist pulse measurement, finger movement monitoring, etc., proving its great potential for monitoring human activities.