论文部分内容阅读
目的应用SOC模型探索科学、有效的人群行为干预方法,评估其慢性病危险因素干预效果。方法选取干预组与对照组各500人,按SOC模型对其健康行为的接受程度划分为5个阶段,对干预组不同阶段人群进行有针对性的健康干预,在干预末期评估2组行为改变及血压及生化指标改变。结果干预后干预社区前后及与对照社区比较,干预社区农民对健康生活方式的认知程度明显改善;吸烟率、饮酒率分别由33.6%、50.2%下降到21.3%、33.6%(P<0.05);平均每天锻炼时间、膳食结构明显改善;干预社区农民BM I收缩压、舒张压、血中总胆固醇分别由(24.07±4.16)、(124.90±20.66)、(81.47±13.53)mm Hg(1 mm Hg=0.133 kPa)和(5.43±1.12)mmol/L下降到(23.69±3.15)、(122.89±15.36)、(79.37±9.39)mm Hg和(4.87±0.82)mmol/L(P<0.05)。结论 SOC模型对农民进行慢性病危险因素干预效果明显。
Objective To explore a scientific and effective behavioral intervention method based on SOC model to assess the intervention effect of chronic disease risk factors. Methods 500 individuals in each intervention group and control group were divided into five stages according to the SOC model to accept their health behaviors. The intervention groups were targeted for health intervention at different stages of the intervention group, and behavioral changes were evaluated at the end of intervention Blood pressure and biochemical changes. Results Compared with control communities, the intervention of community farmers significantly improved their understanding of healthy lifestyles. The smoking and drinking rates decreased from 33.6% and 50.2% to 21.3% and 33.6%, respectively (P <0.05) (24.07 ± 4.16), (124.90 ± 20.66) and (81.47 ± 13.53) mm Hg (1 mm), respectively. The average daily exercise time and dietary structure were significantly improved. The mean systolic blood pressure, diastolic blood pressure and total cholesterol in community- Hg = 0.133 kPa) and (5.43 ± 1.12) mmol / L to (23.69 ± 3.15), (122.89 ± 15.36), (79.37 ± 9.39) mm Hg and (4.87 ± 0.82) mmol / L respectively. Conclusion The SOC model has obvious effect on farmers’ intervention of chronic disease risk factors.