Predictors of quitting support from nonsmoking mothers for smoking fathers: a cross-sectional study from Chinese pupils' families.

BACKGROUND: Quitting support from smokers' partners can predict quit attempts and smoking abstinence but research on factors that predict such support has been limited. To add more evidence for partner support and the improved interventions for smoking cessation, we analyzed some new potential predictors of quitting support from smokers' spouses. METHOD: This cross-sectional study was conducted in in 2022 and 2023, selecting the students' families in which fathers smoked and mothers didn't smoke from grade 1-5 of 13 primary schools in Qingdao, China. Parents who met the criteria completed the online questionnaires and 1018 families were included in the analysis. We measured personal information related to smokers and their spouses such as age, education and nicotine dependence, and variables related to family and marital relationship such as family functioning, perceived responsiveness and power in decision-making of quitting smoking. Quitting support from smokers' spouses was measured by Partner Interaction Questionnaire and generalized linear model was used to explore the potential predictors of partner support. RESULTS: In this study, the mean age of smokers was 39.97(SD = 5.57) and the mean age of smokers' spouses was 38.24(SD = 4.59). The regression analysis showed that for smokers and their spouses, the older age groups showed the lower ratio of positive/negative support(P < 0.05) and smokers with high education showed the less positive and negative partner support(P < 0.05). Nicotine dependence was positively associated with negative support (ß = 0.120, P < 0.01), and perceived responsiveness (ß = 0.124, P < 0.05) as well as family functioning (ß = 0.059, P < 0.05) was positively associated with positive support. These three factors were associated with ratio of positive/negative support(P < 0.05). In addition, power of smoker's spouse in decision-making of quitting smoking was positively associated with the positive (ß = 0.087, P < 0.001) and negative support (ß = 0.084, P < 0.001). CONCLUSIONS: Nicotine dependence, family functioning, power in decision-making of quitting smoking and perceived responsiveness were found to be the predictors of quitting support from smokers' spouses. By incorporating predictors of partner support and integrating some established theories that can improve family functioning and marital relationships, smoking cessation interventions can be further improved.

MiR-128-3p alleviates TNBS-induced colitis through inactivating TRAF6/NF-κB signaling pathway in rats.

miR-128-3p is reported to involve in pathogenesis of several autoimmune diseases, yet the role of miR-128-3p in inflammatory bowel disease (IBD) remains unknown. To investigate miR-128-3p in IBD, experimental colitis animal model was generated by 2,4,6-Trinitrobenzenesulfonic acid solution (TNBS). miR-128-3p agomir was used to overexpress miR-128-3p in rats. Histological assessment and myeloperoxidase activity were conducted to evaluate the TNBS-induced colitis. Effect of miR-128-3p overexpression on levels of TNF-α, IL-1ß, ICAM-1, and MCP-1 was tested by ELISA assay. The target of miR-128-3p was predicted and further confirmed by dual-luciferase reporter assay. The expressions of TRAF6, p-NF-κB, and NF-κB were determined by western blot. The miR-128-3p level was significantly decreased in rats with TNBS-induced colitis. miR-128-3p could alleviate TNBS-induced colitis and inhibit production of inflammatory factors. We found TRAF6 was a direct target of miR-128-3p using bioinformatics and luciferase assay. By western blot, we discovered miR-128-3p activates NF-κB by targeting TRAF6. Our data reveal a novel mechanism that a decreased miR-128-3p level in TNBS-induced colitis could inhibit production of inflammatory factors, which activates NF-κB signaling by targeting TRAF6. Our findings might provide a novel therapeutic target for drug design and development for IBD therapeutics.