Mingli Pang

This study explored the relationship between health service utilization, informal social support and depression, anxiety and stress among the internal migrant elderly following children (IMEFC) in Weifang, China. A total of 613 IMEFC were selected using multistage cluster random sampling. The Depression Anxiety and Stress Scale 21 (DASS-21) was used to assess the depression, anxiety and stress of the IMEFC. Descriptive analysis and univariate and binary logistic regression analyses were used to clarify the correlation between health service utilization and social support and depression, anxiety and stress of the IMEFC. The prevalence of depression, anxiety and stress of the IMEFC was 6.9%, 7.7% and 3.4%, respectively. Logistic regression analysis showed that the IMEFC who having financial stress on medical costs were more likely to feel depressed than those haven’t financial stress on medical costs (OR = 6.557), while those unemployed and having no income were less likely to feel depressed than those employed (OR = 0.262), having children support were less likely to feel depressed than those haven’t children support (OR = 0.257) and having comfort support were less likely to feel depressed than haven’t comfort support (OR = 0.018). Trans-city migration were more likely to feel anxious than trans-county migration (OR = 3.198), having outpatient service were more likely to feel anxious than haven’t experienced inpatient service (OR = 3.818), having financial stress on medical costs were more likely to feel anxious than haven’t financial stress on medical costs (OR = 3.726), while having children support were less likely to feel anxious than haven’t children support (OR = 0.198). Those who migrate to cure disease or rehabilitation were more likely to feel stressed than those migrated to taking care of grandchildren (OR = 12.702) and having financial stress on medical costs were more likely to feel stressed than haven’t financial stress on medical costs (OR = 32.155), while having children support were less likely to feel stressed than haven’t children support (OR = 0.055) and having economic support in troubles were less likely to feel stressed than haven’t economic support in troubles (OR = 0.012). More effective measures should be taken to improve the accessibility and efficiency of cross-regional health insurance reimbursement, and family members should spend more time with the IMEFC to lower their psychological tension in a new environment.

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.

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.