Application of Multilevel Growth Model in Community Intervention Research / 中国卫生统计

ABSTRACT

Objective To explore the application of multilevel growth model in community intervention research. Methods The data a-bout blood pressure collected through questionnaire at baseline and 6 months, 12 months after intervention were analysed through multilevel growth model to evaluate the effectiveness of hypertension self-management. Results The blood pressures between the two groups were statistical significance at baseline,and the changing trends also were different. Age could affect diastolic blood pressure (DBP) changing after controlling the other factors. Conclusion Multilevel growth model can analyze the longitudinal data acquired from intervention research flexibly,and the result is more reliable.