Additional self-monitoring tools in the dietary modification component of The Women's Health Initiative.

Self-monitoring promotes behavior changes by promoting awareness of eating habits and creates self-efficacy. It is an important component of the Women's Health Initiative dietary intervention. During the first year of intervention, 74% of the total sample of 19,542 dietary intervention participants self-monitored. As the study progressed the self-monitoring rate declined to 59% by spring 2000. Participants were challenged by inability to accurately estimate fat content of restaurant foods and the inconvenience of carrying bulky self-monitoring tools. In 1996, a Self-Monitoring Working Group was organized to develop additional self-monitoring options that were responsive to participant needs. This article describes the original and additional self-monitoring tools and trends in tool use over time. Original tools were the Food Diary and Fat Scan. Additional tools include the Keeping Track of Goals, Quick Scan, Picture Tracker, and Eating Pattern Changes instruments. The additional tools were used by the majority of participants (5,353 of 10,260 or 52% of participants who were self-monitoring) by spring 2000. Developing self-monitoring tools that are responsive to participant needs increases the likelihood that self-monitoring can enhance dietary reporting adherence, especially in long-term clinical trials.

Results of an adjunct dietary intervention program in the Women's Health Initiative.

OBJECTIVE: The purpose of this study was to develop, implement, and evaluate the efficacy of an intensive intervention program (IIP) based on motivational interviewing to motivate participants within the dietary study of the Women's Health Initiative (WHI) to meet the study's nutritional goals. SUBJECTS/DESIGN: WHI dietary intervention participants (n=175) from 3 clinical centers were randomly assigned to either intervention or control status. Participants assigned to IIP intervention received 3 individual motivational interviewing contacts from a dietitian, plus the usual WHI Dietary Intervention. Participants randomly assigned to IIP control received the usual WHI dietary modification (DM) Intervention. Percent of energy from fat was estimated at study baseline and at follow-up (1 year later) using the WHI Food Frequency Questionnaire. RESULTS: The change in percent energy from fat between IIP baseline and IIP 1-year follow-up was -1.2% for IIP intervention participants and +1.4% for IIP control participants, giving an overall difference of 2.6% (P<.001). Participants having the highest IIP baseline fat intake (>30% energy) showed the largest overall change in percent energy from fat between IIP baseline and IIP follow-up. CONCLUSIONS: The results of this study indicate that a protocol based on motivational interviewing and delivered through contacts with trained dietitians is an efficacious way to further lower dietary fat intake among participants exposed to ongoing intervention. These data will be useful in future intervention situations when there is a need to increase motivation to change.