XU, L. | Search bioRxiv

bioRxiv2020

Moderating Effect of Social Support on Role Conflict and Job Satisfaction Among Nurses with Multiple Roles

Registered nurses perform multiple roles in their lives at work, at home, and at school when they decide to pursue various types of advanced degrees. Work-family conflict was found to be negatively correlated with job satisfaction among nurses. This study aimed to determine the moderating effect of social support on the relationship between role conflicts and job satisfaction among registered nurses in mainland China. The study had a cross-sectional correlational design. Convenience sampling was applied to recruit 320 nurses with multiple roles from 8 nursing universities and 3 hospitals in China between January and August 2017. SPSS (version 20.0) software and PROCESS program was used to examine to moderating effect of social support between the relationship of role conflicts and job satisfaction. It was found that role conflicts were negatively correlated with job satisfaction. Support from work and support from family negatively moderated the relationship between role conflicts and job satisfaction. These findings suggest that support from family, coworkers and nursing administrators, and the implementation of school- and family-friendly policies would help nurses who are pursuing further nursing degrees to handle their multiple roles and improve their job satisfaction.

scientific communication and education↗

bioRxiv2017

The role of glycaemic and lipid risk factors in mediating the effect of BMI on coronary heart disease: A two-step, two-sample Mendelian randomization study

BackgroundThe extent to which effects of BMI on coronary heart disease (CHD) are mediated by gylcaemic and lipid risk factors is unclear.\n\nMethodsWe used two-sample Mendelian randomization to determine the causal effect of: (i) BMI on CHD (60,801 cases; 123, 504 controls), type 2 diabetes (T2DM; 34,840 cases; 114,981 controls), fasting glucose (n=46,186), insulin (n=38,238), HbA1c (n=46,368), LDL-cholesterol (LDL-C), HDL-cholesterol (HDL-C) and triglycerides (n=188,577); (ii) glycaemic and lipids traits on CHD; and (iii) extent to which these traits mediated any effect of BMI on CHD.\n\nFindingsOne standard deviation (SD) increase in BMI (~ 4.5kg/m2) increased CHD (odds ratio=1.45 (95% confidence interval (CI): 1.27, 1.66)) and T2DM (1.96 (1.35, 2.83)), and levels of fasting glucose (0.07mmol/l (95%CI 0.03, 0.11)), HbA1c (0.05% (95%CI 0.01, 0.08)), fasting insulin (0.18log pmol/l (95%CI 0.14, 0.22)) and triglycerides (0.20 SD (95%CI 0.14, 0.26)), and lowered levels of HDL-C (-0.23 SD (95%CI -0.32, -0.15)). BMI was not causally related to LDL-C. After accounting for potential pleiotropy, triglycerides, HbA1c and T2DM were causally related to CHD. The BMI-CHD effect reduced from 1.45 to 1.16 (95%CI 0.99, 1.36) and to 1.36 (95%CI 1.19, 1.57) with genetic adjustment for triglycerides or HbA1c respectively, and to 1.09 (95%CI 0.94, 1.27) with adjustment for both.\n\nInterpretationIncreased triglyceride levels and poor glycaemic control appear to mediate much of the effect of BMI on CHD.\n\nFundingEuropean Research Council (669545), European Union (733206), China Medical Board (CMB_2015/16), Conselho Nacional de Desenvolvimento Cientifico e Tecnologico and UK Medical Research Council (MC_UU_12013/5).

epidemiology↗