i
Effectiveness of a Community-Based Individualized Lifestyle Intervention Among Older Adults With Diabetes and Hypertension, Tianjin, China, 2008–2009
-
May 15 2014
Source: Prev Chronic Dis. 11. -
Alternative Title:Prev Chronic Dis
-
Publisher's site:
-
Personal Author:
-
Description:Introduction
Though diet and exercise modification is effective in preventing diabetes and hypertension, community-based models for lifestyle intervention for managing these conditions that are practical and effective are few.
Methods
A community-based lifestyle intervention trial was conducted in 5 community clinics in Tianjin, China. Trained physicians used energy monitors and software as tools to provide eight individualized lifestyle consultation sessions (zhiji management) to 273 residents with mild hypertension (including prehypertension) or diabetes (including prediabetes). The recruitment was based on a waitlist control design. The early group (n = 175) received the 3-month intervention and the late group served as controls; afterward, the early group was followed up while the late group received the 3-month intervention. Selected characteristics between the 2 groups were compared by χ2 tests, continuous variables paired t tests, and independent t tests.
Results
Compared with baseline, the intervention significantly increased effective (3–6 metabolic equivalents and >6 minutes) physical activity by 54.6 kilocalories per day (P < .01) and decreased total dietary intake by 328.5 kilocalories per day (P < .01). The net differences between early group (intervention) and late group (control phase) were significant (P < .01) for weight, waist circumference, systolic and diastolic blood pressure, 2-hour postprandial glucose, and hemoglobin A1c.
Conclusion
This community-based lifestyle zhiji management program produced short-term beneficial changes in activity, diet, and clinical parameters in patients with mild diabetes or hypertension. Larger and longer trials are needed to fully evaluate the effectiveness and feasibility of this model.
-
Subject:
-
Source:
-
Document Type:
-
Collection(s):
-
Main Document Checksum:
-
File Type:
-
gif jpeg gif jpeg txt txt gif jpeg gif jpeg gif jpeg
Details:
Supporting Files
More +