| Literature DB >> 30819098 |
Archana Shrestha1, Dipesh Tamrakar2,3, Biraj Man Karmacharya2,3, Abha Shrestha3, Rajeev Shrestha4, Rajendra Dev Bhatta5, Prajjwal Pyakurel6, Polyna Khudyakov7, Vasanti Malik8, Josiemer Mattei8, Donna Spiegelman9,7,8,10.
Abstract
BACKGROUND: To increase cardiovascular disease prevention efforts, worksite interventions can promote healthy food choices, facilitate health education, increase physical activity and provide social support. This pioneer study will measure the effectiveness of a cafeteria and a behavioral intervention on cardio-metabolic risk in a worksite in Nepal.Entities:
Keywords: Cardio-metabolic risk; Diabetes; Hypertension; Nepal; Worksite
Mesh:
Year: 2019 PMID: 30819098 PMCID: PMC6393979 DOI: 10.1186/s12872-019-1025-3
Source DB: PubMed Journal: BMC Cardiovasc Disord ISSN: 1471-2261 Impact factor: 2.298
Fig. 1Planned flow of participants through the Nepal Pioneer Worksite Intervention Trial
The schedule of enrollment and assessments for the Nepal Pioneer Worksite Intervention Trial
| Screening Month 1 | Baseline | Follow up - 1 | Follow up- 2 | Follow up- 3 | |
|---|---|---|---|---|---|
| Indian Diabetes risk score questions (age, sex, family history of diabetes self-report moderate physical activity) | X | ||||
| Demographic information (age, sex, ethnicity, education, income, religion, marital status) | X | ||||
| Anthropometry | |||||
| Height | X | ||||
| Weight | X | X | X | X | |
| Waist circumference | X | X | X | X | X |
| Hip circumference | X | X | X | X | |
| Blood Pressure | X | X | X | X | X |
| Lifestyle factors | |||||
| Two 24 Hour Dietary recall | X | X | X | X | |
| Global physical activity questionnaire | X | X | X | X | |
| Smoking and Drinking habits | X | X | |||
| Laboratory | |||||
| Glycated hemoglobin | X | X | X | X | X |
| Fasting Blood Sugar | X | X | X | X | X |
| High density lipoprotein cholesterol | X | X | X | X | |
| Low density lipoprotein cholesterol | X | X | X | X | |
| Triglycerides | X | X | X | X | |
| Total Cholesterol | X | X | X | X | |
Cafeteria Intervention in the Nepal pioneer worksite intervention study
| Components | Activities |
|---|---|
| Strengthen management of cafeteria | • A cafeteria improvement team will be created representing hospital management, cafeteria operation, research team, finance department, hygiene monitoring, non-communicable disease prevention, nutritionist, and human resource department |
| Build capacity of cafeteria staff | • We will conduct a 2-h workshop with the cafeteria staff on the prevention of diabetes, hypertension, and other cardiovascular diseases via healthy eating |
| Replace healthy options for unhealthy foods | • Whole grain bread instead of white bread will be used in cooking bread omelets, or fried bread |
| Remove unhealthy foods from the cafeteria | • Soda drinks (Coke, Fanta, Sprite, Pepsi, Mountain Dew) will be removed |
| Add healthy food options | • Fresh fruits in the form of whole fruit and mixed fruit salad |
| Enhance visibility of healthy foods | • Healthy food options will appear in the front page of the electronic menu |
| Information, Education, Communication | • A formal launch program will be organized; all the department heads of the hospital will be invited to attend |
Minimum absolute detectable differences for the change in glycosylated hemoglobin, systolic and diastolic blood pressure, and triglyceride for sample sizes of 366 and 320 correspondingly, 5% loss-to-follow-up rate with 80% power and 5% level of significance, for the Nepal Pioneer Worksite Intervention Trial
| Minimum absolute detectable difference | |||||
|---|---|---|---|---|---|
| Parameter | Std. Dev. | Independent samples | |||
| Glycated hemoglobin, % | 0.38 | 0.06 | 0.05 | 0.045 | 0.12 |
| Diastolic blood pressure, mmHg | 9.43 | 1.4 | 1.3 | 1.1 | 3 |
| Systolic blood pressure, mmHg | 13.32 | 2 | 1.8 | 1.6 | 4.3 |
| Triglycerides, mg/dL | 82.47 | 12.5 | 11.2 | 9.7 | 26.6 |
*Correlation between the changes of the same individual observed during control and treatment periods of time
Standard deviations are calculated from the baseline data of the study participants