As urbanization is growing quickly in China, many migrant elderly following children (MEFC) migrate to big cities to care for their grandchildren (grandchildren of MEFC=GMEFC). This study aimed to explore the effects of the living environment, health statuses of family members, and MEFC's attitude regarding the care of their children (children of MEFC=CMEFC) for their GMEFC on GMEFC's health statuses in Weifang, China. Multistage cluster random sampling was used to select the participants, and 613 MEFC were included in total. Descriptive analysis, univariate analysis and binary logistic regression were used to investigate the association between the related variables and GMEFC's health statuses. It was found that 74.9% of the GMEFC had excellent health statuses. The GMEFC who had siblings, the CMEFC with excellent health statuses, and the MEFC with excellent health statuses were more likely to have excellent health statuses. Moreover, the GMEFC who were female, elevators occasionally malfunctioned, the MEFC who were dissatisfied with the CMEFC's time spent on caring, and the MEFC who did not understand or forgive the CMEFC's limited time on caring were less likely to have GMEFC with excellent health statuses. The results indicated that a better living environment, better health statuses of family members, and a positive attitude of the MEFC regarding the care of CMEFC for GMEFC would result in a better health status of GMEFC.
Abstract Background The relationship between public health emergencies and psychological distress had been well known, yet none research had been conducted on the trend in psychological resilience and its longitudinal determinants during the pandemic. This study aimed to explore the changes of psychological resilience of university students during COVID-19 pandemic, and further clarify the longitudinal relationship between family factors, mental health, social mentality and psychological resilience. Methods Questionnaires were distributed to students from five universities in Shandong Province, China during the COVID-19. A total of 1635 students were finally included in this three-wave follow-up study using stratified random sampling method. Mental health was assessed by Depression Anxiety Stress Scale, social mentality was measured by the Bi-Dimensional Structure Questionnaire of Social Mentality, psychological resilience was evaluated by the Chinese version of the Psychological Resilience Scale. Repeated-measures analysis of variance was used to analyze the longitudinal changes of psychological resilience, generalized estimating equation (GEE) was conducted to estimate the determinants of psychological resilience. Results Psychological resilience changed from 28.37 in Wave 1, 29.10 in Wave 2, and 29.15 in Wave 3 among the university students. The students who majored in Art (β = 0.872, P = 0.032), parents (mother β = 0.546, P = 0.035; father β = 0.718, P = 0.012) had a greater influence on children’s personality, and positive social mentality (β = 5.725, P < 0.001) were more likely to report a higher psychological resilience. Being female (β=-0.932, P < 0.001), not being a student leader (β=-0.911, P < 0.001), being anxious (β=-1.845, P < 0.001) and depressed (β=-1.846, P < 0.001), and negative social mentality (β=-0.803, P < 0.001) were less likely to report a higher psychological resilience. Conclusions The psychological resilience of the university students in Shandong Province, China increased significantly from Wave 1 to Wave 3 during the COVID-19 pandemic. Majoring in Art, parents having a greater influence on children’s personality, better mental health, positive social mentality were more likely to report a higher psychological resilience, while female, not student leader, worse mental health, and negative social mentality were less likely to report a higher the psychological resilience.
Abstract Background Driven by population aging and the rapid urbanization in China, many migrant elderly following children (MEFC) moved to big cities to care for their grandchildren. The purpose of this study is to clarify the mediating effect of social support on the relationship between socioeconomic status (SES) and self-reported oral health status among the MEFC in Weifang, China. Methods Multistage cluster random sampling was used to select the participants and finally 613 MEFC were included in the survey. The Social Support Rating Scale (SSRS) and the Chinese version of the Geriatric Oral Health Assessment Index (GOHAI) scale were used for data collection. Descriptive analysis, Rao-Scott test, t-test and structural equation modeling (SEM) were conducted in this study. Results Mean score of GOHAI of the MEFC was 54.95 ± 6.47. The SES of MEFC exerted positive direct effect both on social support (standardized coefficient = 0.15) and self-reported oral health status (standardized coefficient = 0.22); social support exerted positive direct effect on self-reported oral health status (standardized coefficient = 0.17). Social support partially mediated the association between SES and self-reported oral health status [95% confidence interval (CI) 0.003–0.064, P < 0.05], and the mediating effect of social support accounted for 12.0% of the total effect. Conclusions Higher GOHAI score of MEFC indicated their better self-reported oral health status. MEFCs’ SES could exert positive effect both on social support and self-reported oral health status, while the mediating effect of social support between SES and self-reported oral health status of MEFC was established.
BACKGROUND Driven by the accelerated aging of the population of China, the number of older adults has increased rapidly in the country. Meanwhile, following children, migrant older adults (MOA) have emerged as a vulnerable group in the process of fast urbanization. Existed studies have illustrated the association between social support and loneliness and the relationship between sleep disturbance and loneliness; however, the underlying mechanisms and the migrant-local difference in the association between social support, sleep disturbance, and loneliness have not been identified. OBJECTIVE This study aimed to clarify the migrant-local difference in the relationship between social support, sleep disturbance, and loneliness in older adults in China. METHODS Multistage cluster random sampling was used to select participants: 1205 older adults (n=613, 50.9%, MOA and n=592, 49.1%, local older adults [LOA]) were selected in Weifang City, China, in August 2021. Loneliness was assessed with the 6-item short-form University of California, Los Angeles Loneliness Scale, social support was evaluated with the Social Support Rating Scale, and sleep disturbance was measured with the Pittsburgh Sleep Quality Index. The chi-square test, t test, and structural equation modeling (SEM) were adopted to explore the migrant-local difference between social support, sleep disturbance, and loneliness among the MOA and LOA. RESULTS The mean score of loneliness was 8.58 (SD 3.03) for the MOA and 8.00 (SD 2.79) for the LOA. SEM analysis showed that social support exerts a direct negative effect on both sleep disturbance (standardized coefficient=–0.24 in the MOA and –0.20 in the LOA) and loneliness (standardized coefficient=–0.44 in the MOA and –0.40 in the LOA), while sleep disturbance generates a direct positive effect on loneliness (standardized coefficient=0.13 in the MOA and 0.22 in the LOA). CONCLUSIONS Both MOA and LOA have a low level of loneliness, but the MOA show higher loneliness than the LOA. There is a negative correlation between social support and loneliness as well as between social support and sleep disturbance among the MOA and LOA (MOA>LOA), while loneliness is positively associated with sleep disturbance in both populations (MOA<LOA). Measures should be taken by the government, society, and families to increase social support, decrease sleep disturbance, and further reduce the loneliness among older adults, especially the MOA.
Few studies have focused on the sleep quality among migrant elderly following children (MEFC). This study aimed to investigate the effects of chronic disease and mental health on the sleep quality of MEFC in Weifang, China. A cross-sectional study was conducted by multi-stage cluster random sampling, and in total 613 participants were enrolled. Sleep quality and mental health were assessed by the Pittsburgh Sleep Quality Index (PSQI) and the Depression, Anxiety, and Stress Scale (DASS-21), respectively. Chronic disease was assessed by the question “how many chronic diseases do you have?” A descriptive analysis and chi-square test were used to describe participants’ sociodemographic variables, chronic disease, mental health, and sleep quality. The relationship between chronic disease, mental health, and sleep quality was explored by establishing binary logistic regression models. The results showed that 18.3% of MEFC’s sleep quality was poor. MEFCs who were male were more likely to report good sleep quality. MEFCs who have similar monthly family income compared with others around, with multimorbidity, depression, and anxiety were more likely to report poor sleep quality. Nearly 1/5 of MEFCs were having poor sleep quality in this study. Results indicated that chronic diseases, depression, and anxiety were risk factors for the sleep quality of MEFC. Implications for the government, communities, and families of MEFC were given for improving their sleep quality.
Purpose Focusing on the life satisfaction of the migrant elderly following children (MEFC) is of great theoretical and practical significance. We aimed to examine the effect of self-reported oral health on life satisfaction among the MEFC in Weifang, China, and to further explore the mediating role of social support on the relationship between self-reported oral health and life satisfaction. Methods We conducted a cross-sectional survey for 613 participants using multi-stage random sampling in Weifang, China, in August 2021. The Social Support Rating Scale was used to assess social support for the MEFC. We used the Chinese version of the Geriatric Oral Health Assessment Index (GOHAI) to evaluate self-reported oral health. We assessed life satisfaction for the MEFC via the Satisfaction with Life Scale. The data were scrutinized through descriptive analysis, a chi-square test, a t -test, Pearson correlation analysis, and structural equation modeling (SEM). Results The mean GOHAI, social support, and life satisfaction scores were 54.95 ± 6.649, 38.89 ± 6.629, and 27.87 ± 5.584, respectively. SEM analysis indicated that the self-reported oral health of the MEFC exerts a positive effect on life satisfaction and social support, and social support has a positive and direct effect on life satisfaction. Social support partially mediates the association between self-reported oral health and life satisfaction (95% confidence interval: 0.023–0.107, P < 0.001), with its mediating effect accounting for 27.86% of the total effect. Conclusion The mean score of life satisfaction was 27.87 ± 5.584 among the MEFC in Weifang, China, suggesting relatively high life satisfaction. Our findings underscore an empirical association between self-reported oral health and life satisfaction and imply that social support mediates this relationship.
Background The migrant elderly following children (MEFC) are a vulnerable group that emerged during fast urbanization in China. The MEFC faced physical and psychological discomfort upon their arrival in the inflow city, particularly those who came from rural areas. Objective This study aimed to explore the relationship between oral health status, loneliness, and sleep quality among the MEFC in China and to clarify the disparities in the above mentioned relationship by migration type. Methods In 2021, a cross-sectional survey was conducted in Weifang, Shandong Province, using multistage cluster random sampling to collect data from the MEFC aged 60 years and over. In total, 613 respondents [525 rural-to-urban (RTU) and 88 urban-to-urban (UTU)] were included in the final database. The chi-square test, t -test, and structural equation modeling (SEM) were used to investigate the relationship between oral health status, loneliness, and sleep quality among the RTU and UTU MEFC. Results Total scores [mean ± standard deviation (SD)] for oral health status, loneliness, and sleep quality were 54.95 ± 6.47, 8.58 ± 3.03, and 4.47 ± 3.60, respectively. SEM revealed that, among the RTU and UTU MEFC, oral health status was positively and significantly related to sleep quality; however, the correlation was slightly stronger in the UTU MEFC. In both groups, there was a significant negative correlation between oral health status and loneliness, which was stronger in the UTU MEFC. In the RTU MEFC, a significant negative correlation between loneliness and sleep quality was observed, and in the UTU MEFC, no significant association between loneliness and sleep quality was observed. Conclusion The sleep quality among the MEFC in this study was higher compared to previous studies. Oral health status was negatively correlated with loneliness and positively associated with sleep quality, whereas loneliness was negatively correlated with sleep quality. These three associations differed significantly between the UTU and RTU MEFC. The government, society, and families should take measures to improve oral health and reduce loneliness among the MEFC to improve their sleep quality.
Abstract Background With the accelerated urbanization and aging population in China, more and more migrant older with children (MOC) moved to new cities. Previous studies mainly explored the acculturation of MOC, yet few focused on the health conditions of this vulnerable group. This study aimed to investigate the effects of oral health and social support on health-related quality of life (HRQOL) of MOC in Weifang, China. Method This study was a cross-sectional study and participants were selected by multi-stage cluster random sampling in Weifang, China. The HRQOL was assessed via the 12-item Short-Form Health Survey (SF-12) which included the mental component summary (MCS) and the physical component summary (PCS). The oral health was evaluated by the Geriatric Oral Health Assessment Index (GOHAI). The social support was administered using the Social Support Rating Scale (SSRS). Descriptive analysis was used to describe participants’ sociodemographic variables, oral health and social support. Univariate analysis and binary logistic regression analysis was used to investigate the association between the social support, oral health and HRQOL. Results and discussion It was found that 25.0% of MOC were defined as MCS poor and PCS poor, respectively. Those participants with average and low monthly household income compared to those around them, average and poor oral health, and low levels of social support were more likely to have poor PCS. Those with temporary residence permits, fair and poor oral health, and medium and low levels of social support were more likely to report poor MCS. Conclusion Results indicated that better social support and oral health led to higher HRQOL of MOC. Implications for the government, communities and families of MOC were given to improve their HRQOL.
Abstract Introduction The purpose of this study was to analyze the current status, the research hot spots and frontiers of cognitive impairment (CI) on old adults from 2012 to 2022 based on Web of Science (WoS) and China National Knowledge Infrastructure (CNKI) via CiteSpace, and provide new in-sights for researchers. Methods The articles regarding the old adults’ CI in the WoS and CNKI were retrieved from 2012 to 2022. CiteSpaceV.6.1.R4 was used to generate network maps. Results Four thousand seven hundred thirteen publications and 304 publications from CNKI were retrieved. Overall, from 2012 to 2022, the trend of articles published in WoS and CNKI were increasing. Data from WoS showed that USA, University of California, Petersen RC were the most influential country, institution and author respectively; Folstein MF, Neurology and a diagnosis guideline of mild CI were the most cited author, journal and reference separately; while the keywords of CI could be summarized in 3 aspects: related disease and symptom, risk factors, manifestations. Data from CNKI illustrated that Peking Union Medical College, Dan Liu were the most influential institution and scholar respectively, while the keywords of CI could be summarized in 3 aspects: related disease and symptoms, risk factors, intervention. Conclusion Articles published on old adults’ CI were drawing an increasing amount of attention from 2012 to 2022 both in WoS and CNKI. Keywords of CI in WoS and CNKI both focused on risk factors, related disease and symptom, yet WoS contributed more to the mechanism and CNKI contributed more to the intervention.
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