Skip to content

Healthy Eating Patterns During a Lifestyle Intervention

Healthy Eating Patterns During a Lifestyle Intervention

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01682317
Acronym
HEP
Enrollment
30
Registered
2012-09-10
Start date
2012-08-01
Completion date
2025-12-31
Last updated
2026-06-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Obesity, Weight Loss

Keywords

eating frequency

Brief summary

The purpose of this study is to address the gap in knowledge regarding the relationship between eating frequency and weight loss.

Detailed description

Little intervention research has been conducted to examine the influence of eating frequency (EF) on weight loss. It has been hypothesized an increased EF improves appetite control, assisting with better regulation of energy intake, thus decreasing body mass index. Unfortunately, outcomes have not shown greater appetite control with increased EF. Instead, trends favor a lower EF reducing energy intake thereby producing greater weight loss than a higher eating frequency. Thus, a lower eating frequency may lower energy intake via behavioral mechanisms. At thit time no research has examined the behavioral mechanisms that may mediate the relationship between a lower eating frequency and superior adherence to an energy-restricted diet.

Interventions

BEHAVIORALEating Frequency

Thirty adults will be provided an 8-week standard lifestyle intervention, that includes a 1200-1500 kcal/day, \< 30% energy from fat dietary prescription, and a physical activity goal of 200 minutes/week. Participants will be randomized to one of two conditions differing in EF using a prescription we have tested previously. One condition will limit the number of eating bouts/day to three (Three Meal), while the second condition will consume at least 100 kcal every 2 to 3 hours which should lead to approximately 6 eating bouts/day (Grazing).

Sponsors

The University of Tennessee, Knoxville
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
Yes

Inclusion criteria

* age between 18 and 65 years * healthy overweight and obese men and women * body mass index (BMI) between 27 and 45 kg/m squared

Exclusion criteria

* report a heart condition, chest pain during periods of activity or rest, or loss of consciousness on the Physical Activity Readiness Questionnaire (PAR- Q) * report being unable to walk for 2 blocks (1/4 mile) without stopping * are currently participating in a weight loss program and/or taking weight loss medication or lost \> 5% of body weight during the past 6 months * diagnosed with type 1 or 2 diabetes * have had bariatric surgery or are planning to have bariatric surgery in the next 4 months * intend to move outside of the metropolitan area within the time frame of the investigation * are pregnant, lactating, \< 6 months post-partum, or plan to become pregnant during the investigation

Design outcomes

Primary

MeasureTime frameDescription
Diet0 and 8 weeksDiet (eating frequency, kilocalories, macronutrients)

Secondary

MeasureTime frameDescription
Ecological Momentary Assessment (EMA)0 and 8 weeksTo evaluate the behavioral mechanisms of eating frequency, PalmPilot-based EMA will be used to collect real-time information on consumption cues.
Anthropometrics0 and 8 weeksHeight (0 weeks only), weight and body mass index
Binge Eating0 and 8 weeksAssessed by the Eating Disorder Examination-Questionnaire (EDE-Q), which is a 36-item questionnaire derived from the Eating Disorders Examination interview.
Physical Activity0 and 8 weeksSelf-reported physical activity will be assessed using the Paffenbarger Activity Questionnaire.

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORHollie A Raynor, PhD, RD

University of Tennessee

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 10, 2026