There are few studies estimating the loneliness of the Hakka elderly in China. This study aims to examine the loneliness status and related factors among the Hakka elderly in Fujian, China. The short‐form UCLA Loneliness Scale (ULS‐8) was used to assess the loneliness of the Hakka elderly. Factors associated with loneliness were classified as individual indicators, behavioral indicators, interpersonal indicators, and social indicators according to the health ecological model (HEM). Hierarchical linear regression models were established to identify the main factors that were most predictive of loneliness. A sample of 1,262 Hakka elderly people was included in this study. Females (β = 0.631, P = 0.012), those with ≥2 chronic diseases (β = 1.340, P < 0.001), those who were currently living in rural areas (β = 4.863, P < 0.001) or suburban areas (β = 2.027, P < 0.001), those with parents both died (β = 0.886, P = 0.001), and those with the Urban Employees Basic Medical Insurance (UEBMI; β = 0.852, P = 0.030) obtained a higher score of ULS‐8. Those exercised regularly (β = −2.494, P < 0.001), those had leisure activities (β = −1.937, P < 0.001), those ate healthy (β = −1.270, P < 0.001), and those with better self‐rated financial status and higher education level received a lower score of ULS‐8. There are differences in loneliness among different Hakka elderly population subgroups, and healthy behaviors and lifestyles may reduce the loneliness of the Hakka elderly. Relevant interventions should be implemented in a targeted manner, focusing on susceptible populations. This is most evident among those who were female, living in rural areas, with parents both died, with lower education, and with multiple chronic diseases.

Background: Behavioral lifestyles are important social determinants of health. The impact of changes in living arrangements on behavioral lifestyles is currently under-explored. This study aims to examine the association between living arrangements and health risk behaviors among the Hakka older adults. Methods: Data were extracted from China’s Health-Related Quality of Life Survey for Older Adults 2018. Living arrangements were divided into five categories: living alone, living with spouse only, living with child, mixed habitation, and others. Five health risk behaviors, including unhealthy dietary patterns, drinking, smoking, irregular sleep practices, and physical inactivity were measured. Logistic regression analysis was used to assess the association between living arrangements and specific health risk behaviors, and generalized linear models were established to test the association between living arrangements and the number of health risk behaviors. Results: A total of 1,262 Hakka older adults were included in this study. Compared to those living alone, those living with spouse only were less likely to have unhealthy dietary patterns (OR = 0.45, P < 0.05) and drinking (OR = 0.50, P < 0.05), those living with the child were less likely to experience unhealthy dietary patterns (OR = 0.35, P < 0.001), drinking (OR = 0.32, P < 0.001), smoking (OR = 0.49, P < 0.05), and physical inactivity (OR = 0.13, P < 0.01). Moreover, those who were living with child (β = -0.78, P < 0.001) or mixed habitation (β = -0.33, P < 0.05) tended to engage in fewer health risk behaviors than those living alone. Conclusions: This study suggests significant differences in health risk behaviors among the Hakka older adults with different living arrangements. Living with the child could reduce the occurrence of health risk behaviors in the Hakka older adults and thus maintain their health status.

Background: To confront the serious challenge of antimicrobial resistance, using clinical practice guidelines (CPGs) standardizing the prescription behavior is vital. However, the overall mechanisms remains largely unknown as to how guidelines' use behavior can be improved. This study aimed to identify the determinants and investigate their relationship to bridge the knowledge gap of overall influencing mechanism of the use behavior of CPGs on antimicrobials. Methods: By integrating theory of reasoned action (TRA) and organizational readiness for change (ORC), a structured questionnaire was developed to cover potential determinants that affect physicians’ use behaviors of CPGs on antimicrobials at the individual-level (attitude, subjective norm, and behavioral intention) and organizational-level (top management support and organizational resource allocation). A multi-stage random sampling was implemented to collect data from physicians in secondary and tertiary hospitals from eastern, central and western China. Structural equation model (SEM) was used to test the proposed hypotheses, and to analyze the relationship and mechanism among the factors. Result: In total, 815 physicians were included. Most physicians demonstrated a positive tendency toward the use of CPGs on antimicrobials, with a mean score of 3.95 (SD = 0.70). The reliability and validity analysis showed the questionnaire constructed from the integrated theoretical model of TRA and ORC was acceptable. The SEM validation results also showed that the top management support (β = 0.688, P < 0.001), organizational resource allocation (β = 0.129, P < 0.001), individual attitudes (β = 0.164, P < 0.001), subjective norms (β = 0.322, P < 0.001), and behavioral intentions (β = 0.424, P < 0.001) were positively associated with physicians’ use behaviors of CPGs on antimicrobials. Besides, top management support, organizational resource allocation, attitudes and subjective norms showed their mediating effects on regarding use behavior, which was 0.305, 0.129, 0.164 and 0.201, respectively. Conclusions: This study revealed the influence mechanism of the use of CPGs on antimicrobials from the individual and organizational perspectives. These findings will not only help formulate future strategies to promote the use of CPGs on antimicrobials, but also provide clues for more effective prescription interventions.

Rural areas are the weakest place for epidemic prevention and control, yet few studies have specifically conducted surveys in rural areas. The purpose of this study is to assess rural residents’ knowledge of the COVID-19 and its prevention in China. A cross-sectional survey study containing 1,426 samples was conducted in Fuqing, China to assess rural residents’ knowledge of the COVID-19 and its prevention. Logistic regression was used to identify potential differences in participants’ knowledge of COVID-19 and its prevention and control in different population subgroups. The mean and median of residents’ knowledge of COVID-19 was 5.53 and 6 points, respectively. The mean and median of residents’ knowledge related to self-protection against COVID-19 was 10.34 and 11 points, respectively. Older adults (AOR_45–59 = 2.26, 95% CI 1.20 to 4.27; AOR_60-69 = 3.13, 95% CI 1.63 to 5.98; AOR_≥70 = 4.68, 95% CI 2.35 to 9.33) were more deficient in knowledge of COVID-19. Those who were better educated and with a higher average annual household income were less likely to be deficient in the knowledge of COVID-19 and knowledge of self-protection against COVID-19. Moreover, those who were single, divorced, or widowed (AOR = 1.67, 95% CI 1.13 to 2.46) were more deficient in the knowledge of self-protection against COVID-19. Our study suggests that when facing a pandemic like COVID-19, the key is to inform the public to understand simple and effective self-protection measures. Therefore, we call on the governments to give priority to publicity and education on self-prevention measures for the targeted populations and regions. This is most evident among the vulnerable groups like those who were unmarried, elderly, and those with low education or low income. Similar suggestions may be of use in other countries as well.