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This study explored the combination characteristics of physical activity, sedentary behavior, and sleep among older adults during a 24-hour time allocation and analyzed the correlations between different combinations and depression. We recruited 648 older adults (mean age 72.65±7.03) from three communities in urban areas of central China and measured their physical activity, sedentary behavior, sleep quality, and depression. We used latent profile analysis to classify the time allocation of 24 h of movement behavior and binary logistic regression to analyze associations between different subgroups and depression. We found four classes of 24-hour movement behavior: moderately active-moderate sleepers (32.9 %), active-sedentary-short sleepers (17.8 %), sedentary-long sleepers (8.6 %), and active-short sleepers (40.7 %). Compared with moderately active-moderate sleepers, active-sedentary-short and sedentary-long sleepers were 2.953 and 4.813 times more likely to have depression, respectively. There was no statistically significant difference between active-short and moderately active-moderate sleepers. The results can inform preventive measures for depression in older adults.
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BACKGROUND: The association between sedentary behavior and depression in older adults has been reported in several studies; however, study results on the relationship between the different types of sedentary behavior and depression are not uniform. The purpose of this study was to quantitatively review the association between depression and total sedentary behavior, mentally active sedentary behavior, and passive sedentary behavior. METHODS: We systematically searched for observational studies on the association between sedentary behavior and depression in older adults using PubMed, Embase, and Web of Science databases. A random effects model was used to combine odds ratios (ORs) and 95 % confidence intervals (CIs). In addition, we performed subgroup and sensitivity analyses to explore potential sources of heterogeneity. RESULTS: Five longitudinal and 10 cross-sectional studies with a total of 144,161 participants were included in the meta-analysis. The OR of total sedentary behavior associated with depression was 1.49 (95 % CI 1.24-1.79). The combined OR value of mentally active sedentary behavior and depression was 0.82 (95 % CI 0.69-0.97), and no association was found between passive sedentary behavior and the risk of depression. LIMITATIONS: We were unable to find dose-response relationships between the different types of sedentary behavior and depression because there were too few studies with raw data to analyze. CONCLUSION: Total sedentary behavior may increase the risk of depression in older adults, whereas mentally active sedentary behavior is associated with a lower risk of depression. Differentiating between the types of sedentary behavior can inform interventions to prevent or ameliorate depression in older adults.
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AIM: To develop a comprehensive training course for training ICU nurses in prone positioning. DESIGN: A mixed study combining semi-structured interviews and two rounds of Delphi surveys. METHODS: We constructed a questionnaire after collecting data through a literature review and semi-structured interviews. We used the Delphi expert correspondence method to conduct two rounds of research among 17 experts in the field of critical illness. Data collection took place between May and August 2022. RESULTS: The effective questionnaire recovery rate was 88.2%. The expert authority coefficient was 0.876; the Kendall coordination coefficient was 0.402; the average importance score for each index ranged from 4.00 to 4.93; and the coefficient of variation for each index ranged from 0.05 to 0.19. We established 13 second-level indicators and 41 third-level indicators on prone position ventilation training according to three aspects: training contents, training methods and training assessment. The training system of prone mechanical ventilation for ICU nurses established in this study will provide an effective framework for training and evaluating the practical ability of prone mechanical ventilation for ICU nurses.