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Objective:To survey the awareness status of risk factors for gastric cancer and related factors among residents in Shijiazhuang city.Methods:From October to November 2020, residents aged>18 years were selected through convenience sampling from Xinhua District and Yuhua District in Shijiazhuang for a face-to-face questionnaire survey. The demographic characteristics and awareness levels of risk factors for gastric cancer among 1 490 subjects were analyzed. The multivariate linear regression model was applied to analyze the related factors.Results:There were 522 male participants (35.0%) and 968 female participants (65.0%). The mean knowledge score of risk factors of gastric carcinoma in the respondents was 5.0 (1.0, 11.0). There were 57.0% (849/1 490) of the participants who had a low knowledge level about risk factors of gastric cancer. The more highly recognized risk factors were irregular diet (47.4%, 706/1 490), consumption of pickled foods (45.2%, 674/1 490), consumption of smoked foods (45.0%, 671/1 490); the less-recognized risk factors included physical inactivity (14.8%, 221/1 490), male sex (17.3%, 258/1 490) and older age (19.5%, 291/1 490). Only 26.8% (400/1490) of the participants regarded H. pylori infection as a risk factor of gastric cancer. Univariate analysis showed that educational level ( Z=39.34), marital status ( Z=53.31), monthly income ( Z=11.82), family member or friend ever having stomach problem ( H=-2.98), and family history of gastric cancer ( H=-2.34) were significantly associated with the knowledge score of risk factors for gastric cancer ( P<0.05). Multivariate analysis showed that compared to participants with educational levels of primary school or below, those with educational level of junior high school ( β=0.27, P<0.001), high school ( β=0.23, P<0.001), or college ( β=0.16, P<0.001) had a higher levels of knowledge of risk factors for gastric cancer; compared to unmarried participants, awareness of risk factors was significantly better in those who were married ( β=0.16, P<0.001), divorced ( β=0.05, P=0.039), or widowed ( β=0.06, P=0.027); compared to participants with monthly income<3 000 yuan, the subjects with monthly income from 5 000 to 10 000 yuan ( β=0.07, P=0.020) had a higher knowledge score; compared to participants with no family history of gastric cancer, subjects with family history had higher knowledge level of risk factors for gastric cancer ( β=0.06, P=0.029). Conclusion:The knowledge levels of risk factors for gastric cancer are generally low among residents in Shijiazhuang city. Educational initiatives are required to improve the awareness of risk factors for gastric cancer, and interventions need to be implemented concurrently to change unhealthy behaviors among residents in Shijiazhuang city.
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Objective@#To assess the effect of health coaching on interventional effect in high-risk population of stroke.@*Methods@#A baseline survey was conducted among 897 residents aged 40 years and above selected by cluster sampling method in a community of Shijiazhuang city from January 2016 to June 2016, and 178 subjects were identified as high risk population of stroke. The high-risk subjects were randomly divided into two groups: the control group (n=89) was given routine health education, while the intervention group (n=89) received health coaching based on motivational interview for 13 months. The behavioral risk factors and self-efficacy scores were compared between two groups before and after intervention.@*Results@#There were no significant differences in behavioral risk factors between the two groups: for hypertension 72 vs. 74 cases (χ2=0.152, P=0.67), for hyperglycocemia 44 vs.48 cases (χ2=0.360, P=0.55), for dyslipidemia 62 vs. 60 cases (χ2=0.104, P=0.75), for smoking 35 vs.32 cases (χ2=0.215, P=0.64), for obesity 50 vs.52 cases (χ2=0.092, P=0.76), for lack of exercises 72 vs.70 cases (χ2=0.139, P=0.71), for atrial fibrillation 14 vs. 16 cases (χ2=0.160, P=0.19). And there was no significant difference in self-efficacy scores between the two groups [(5.3±1.2) vs. (5.6±2.0), t=0.997,P=0.32]. After intervention, there were significant differences between the two groups in behavioral risk factors: for hypertension 25 vs. 34 cases (χ2=19.984, P<0.05) , for hyperglycaemia 16 vs.32 cases (χ2=8.448, P<0.05) , for dyslipidemia 30 vs. 48 cases (χ2=13.216, P<0.05) , for smoking 20 vs.28 cases (χ2=7.583, P<0.05) , for obesity 18 vs.38 cases (χ2=14.158, P<0.05) , for lack of exercises 28 vs. 36 cases (χ2=10.235, P<0.01) , for atrial fibrillation 5 vs. 13 cases (χ2=6.451, P<0.05) . And the self-efficacy scores of intervention group were higher than those of control group[ (8.4±2.1) vs. (6.8±2.2), t=4.852, P<0.01].@*Conclusion@#Health coaching based on motivational interview is beneficial to reduce risk factors and improve self-efficacy in high risk population of stroke, which is worthy of popularization.
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Objective To assess the effect of health coaching on interventional effect in high-risk population of stroke. Methods A baseline survey was conducted among 897 residents aged 40 years and above selected by cluster sampling method in a community of Shijiazhuang city from January 2016 to June 2016, and 178 subjects were identified as high risk population of stroke. The high-risk subjects were randomly divided into two groups: the control group (n=89) was given routine health education, while the intervention group (n=89) received health coaching based on motivational interview for 13 months. The behavioral risk factors and self-efficacy scores were compared between two groups before and after intervention. Results There were no significant differences in behavioral risk factors between the two groups:for hypertension 72 vs. 74 cases (χ2=0.152,P=0.67),for hyperglycocemia 44 vs.48 cases (χ2=0.360,P=0.55), for dyslipidemia 62 vs. 60 cases (χ2=0.104,P=0.75), for smoking 35 vs.32 cases (χ2=0.215,P=0.64), for obesity 50 vs. 52 cases (χ2=0.092, P=0.76), for lack of exercises 72 vs. 70 cases (χ2=0.139, P=0.71), for atrial fibrillation 14 vs. 16 cases (χ2=0.160,P=0.19). And there was no significant difference in self-efficacy scores between the two groups [(5.3 ± 1.2) vs. (5.6 ± 2.0), t=0.997, P=0.32]. After intervention, there were significant differences between the two groups in behavioral risk factors:for hypertension 25 vs. 34 cases(χ2=19.984, P<0.05), for hyperglycaemia 16 vs. 32 cases(χ2=8.448, P<0.05), for dyslipidemia 30 vs. 48 cases(χ2=13.216, P<0.05),for smoking 20 vs.28 cases(χ2=7.583,P<0.05),for obesity 18 vs.38 cases(χ2=14.158,P<0.05),for lack of exercises 28 vs. 36 cases(χ2=10.235,P<0.01),for atrial fibrillation 5 vs. 13 cases (χ2=6.451,P<0.05). And the self-efficacy scores of intervention group were higher than those of control group[(8.4±2.1) vs. (6.8±2.2), t=4.852, P<0.01]. Conclusion Health coaching based on motivational interview is beneficial to reduce risk factors and improve self-efficacy in high risk population of stroke, which is worthy of popularization.
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Objective To evaluate the effect of "5As" (ask,advice,assess,assist,arrange) model based on the "two-in-one team" management (integrated hospital and community health service center management team) on the self-management behavior in stroke high-risk population.Method A stroke risk screening was conducted among 1 196 residents aged ≥40 years selected by cluster sampling in a community of Shijiazhuang city from March 2016 to March 2017,and 218 high-risk individuals were identified.The high risk individuals were randomly divided into intervention group and control group.The control group received routine health instruction,the intervention group was managed by "two-in-one team" with 5As model.Stroke prevention knowledge questionnaire and self-evaluation scale were applied for evaluation before and after intervention.Results Before intervention,scores of the stroke prevention knowledge and self-management behavior in the intervention group and the control group were (21.6 ±4.7) and (130.8 ± 6.4) points,(20.4±5.0) and (131.4 ±6.3) points,respectively (t =1.79,P =0.08;t =0.67,P =0.50).After intervention,the scores of prevention knowledge and self-management behavior in the intervention group were higher than those in the control group [(30.5 ± 5.1) vs.(21.7 ± 6.0) points,t =16.83,P=0.00;(158.3±19.0) vs.(135.6±20.0)points,t=7.85,P=0.00].Conclusion The 5As intervention model based on the two-in-one team management can improve stroke prevention knowledge and self-management behavior among stroke high-risk individuals in the community.