Background
Suboptimal health status (SHS) is a reversible state between ideal health and illness and it can be effectively reversed by risk prediction, disease prevention, and personalized medicine under the global background of predictive, preventive, and personalized medicine (PPPM) concepts. More and more Chinese nurses have been troubled by psychological symptoms (PS). The correlation between PS and SHS is unclear in nurses. The purpose of current study is to investigate the prevalence of SHS and PS in Chinese nurses and the relationship between SHS and PS along with predisposing factors as well as to discuss the feasibility of improving health status and preventing diseases according to PPPM concepts in Chinese nurses.
Methods
A cross-sectional study was conducted with the cluster sampling method among 9793 registered nurses in Foshan city, China. SHS was evaluated with the Suboptimal Health Status Questionnaire-25 (SHSQ-25). Meanwhile, the PS of depression and anxiety were evaluated with Self-Rating Depression Scale (SDS) and Self-Rating Anxiety Scale (SAS) self-assessment questionnaires. The relationship between PS and SHS in Chinese nurses was subsequently analyzed.
Results
Among the 9793 participants, 6107 nurses were included in the final analysis. The prevalence of SHS in the participants was 74.21% (4532/6107) while the symptoms of depression and anxiety were 47.62% (2908/6107) and 24.59% (1502/6107) respectively. The prevalence of SHS in the participants with depression and anxiety was significantly higher than those without the symptoms of depression (83.3% vs 16.7%, P < 0.001) and anxiety (94.2% vs 5.8%, P < 0.0001). The ratio of exercise habit was significantly lower than that of non-exercise habit (68.8% vs 78.4%, P < 0.001) in SHS group.
Conclusions
There is a high prevalence of SHS and PS in Chinese nurses. PS in Chinese nurses are associated with SHS. Physical exercise is a protective factor for SHS and PS so that the exercise should be strongly recommended as a valuable preventive measure well in the agreement with PPPM philosophy. Along with SDS and SAS, SHSQ-25 should also be highly recommended and applied as a novel predictive/preventive tool for the health measures from the perspectives of PPPM in view of susceptible population and individual screening, the predisposition to chronic disease preventing, personalization of intervention, and the ideal health state restoring.
The security of the RSA cryptosystem is based on the difficulty of integer factorization. The General Number Field Sieve (GNFS) is one of the state-of-the-art algorithms to solve this problem over 110 digits. The Montgomery Block Lanczos algorithm is often used for solving a large and sparse linear system over GF (2) in the GNFS. AS Graphics Processing Units (GPUs) can provide a significant increase in floating point operations and memory bandwidth over conventional Central Processing Units (CPUs), performing sparse matrix-vector multiplications with these co-processors can decrease the amount of time. In this paper, we will first improve the initialization way of the algorithm to avoid sudden breakdown in the very first stage. Because a very high possibility of failure caused by the random initialization way, we will design a pseudo random way to initialize the algorithm to generate more solutions than traditional Block Lanczos algorithm does. Based on massive research about present sparse matrix storage formats, we will parallelize the improved Block Lanczos algorithm using a newly designed hybrid sparse matrix format on GPUs. Finally, we analyze the cost of our algorithm theoretically. From the results, a speedup can be achieved on GPUs according to related experiments.
Purpose: Meaning in life (MIL) and family cohesion are important concerns for the palliative care population; however, evidence of the relationship between MIL and family cohesion is scarce. Therefore, this study aimed to examine the relationship between meaning in life and family cohesion, and explore the factors that influence MIL among the palliative care population.Methods: In this cross-sectional study, 205 patients with advanced cancer were recruited from two palliative care units in China. Data were collected using the Meaning in Life Scale (MiLS), the family cohesion subscale of the Family Adaptability and Cohesion Scale, second edition, Chinese version, and the Karnofsky Performance Status Scale (KPS). Multivariate linear regression models were used to examine the relationship between family cohesion and perceived MIL, and to identify the potential predictors of participants’ MiLS score.Results: The mean MiLS score was 100.90 (9.17). The results showed that family cohesion (r = 0.313, p < 0.01) and KPS scores (r = 0.311, p < 0.01) were positively correlated with MiLS scores. Multivariate linear regression revealed that MIL was significantly predicted by family cohesion, KPS score, sex, religiosity, whether participants lived alone, and their medical insurance payment method (F = 13.870, p < 0.01, R2 = 27.5%).Conclusions: Our findings indicate a positive relationship between family cohesion and MIL, suggesting that clinicians should consider increasing patients’ family cohesion as an approach to enhance perceived MIL.
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