Effect of Meal Frequency on Diet Self-Efficacy and Perceived Stress in Women With Weight Cycling
Effect of a Diet Intervention With Different Meal Frequencies on Diet Self-Efficacy and Perceived Stress in Women With Weight Cycling: A Randomized Controlled Trial
2 other identifiers
interventional
72
1 country
1
Brief Summary
The World Health Organization (WHO) defines obesity as abnormal or excessive fat accumulation in the body that may adversely affect health. In 2022, 1 in 8 people worldwide lived with obesity, while the adult obesity rate has more than doubled since 1990, and the adolescent obesity rate has quadrupled. Obesity is a risk factor for noncommunicable diseases such as type 2 diabetes, hypertension, cardiovascular diseases, cancer, and sleep apnea, and is associated with an increased risk of death. The treatment of obesity-related comorbidities, along with indirect costs resulting from lost productivity and premature death, contributes to the economic burden caused by obesity. Therefore, effective management of obesity is of critical importance for improving overall health outcomes and reducing the burden on healthcare systems. It has been demonstrated that a 5% reduction in body weight in individuals diagnosed with obesity can improve health outcomes, and this value has been established as a target standard for weight loss interventions. However, while dietary interventions can achieve clinically meaningful weight loss, weight regain is common due to a combination of low adherence to dietary strategies and compensatory physiological mechanisms that influence weight regain. Consequently, individuals may find themselves in a "weight cycle," losing weight and then regaining it. Weight maintenance is defined as intentional weight loss followed by the preservation of that loss for at least six months. It has been noted that the weight cycle complicates this process. The weight cycle defined as repeated periods of intentional weight loss followed by regain is considered a common yet poorly understood factor among obese individuals. The weight cycle is viewed as one of the major challenges in clinical obesity care. For this reason, it is emphasized that strategies aimed at preventing weight cycling or promoting weight maintenance have gained importance. Additionally, attention is drawn to psychological factors in eating behavior, with particular emphasis on the individual's self-confidence and stress levels being crucial for sustaining healthy eating behaviors. Individuals experiencing weight cycling often face challenges with diet adherence, sustainability, and stress management. Meal frequency strategies applied to these individuals can influence not only weight loss but also diet adherence and the psychological experience of the dietary process. Given the rise in obesity and obesity-related disorders, understanding the relationship between stress, self-efficacy, and food choice in young adulthood may offer insights into preventing adverse health outcomes in later life stemming from poor dietary habits. An appropriate meal schedule can help an individual adapt better to the diet and manage the process with less stress; thereby facilitating weight maintenance success and making healthy eating a lifestyle. However, in the treatment of obesity, data regarding different meal frequency approaches in dietary interventions remain controversial. The aim of this study is to examine the factors influencing the sustainability of the diet and the long-term maintenance of weight loss in individuals experiencing weight cycling. In this context, the effects of different meal frequencies on this process were evaluated; the study addressed not only physical outcomes but also psychological factors such as how individuals felt during the dietary process, their stress levels, and their self-confidence. Thus, the aim was to present a more comprehensive perspective by examining the relationship between meal frequency and weight management from both physiological and psychological dimensions.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Aug 2025
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
August 4, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 1, 2025
CompletedFirst Submitted
Initial submission to the registry
April 30, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
May 1, 2026
CompletedFirst Posted
Study publicly available on registry
May 13, 2026
CompletedMay 13, 2026
April 1, 2026
2 months
April 30, 2026
May 8, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (30)
Body weight (kg)
Body weight measured using a calibrated digital scale
Baseline, Weeks 2, 4, 6, and 8, and 6 months post-intervention
Body mass index (kg/m²)
Calculated as body weight in kilograms divided by height in metres squared
Baseline, Weeks 2, 4, 6, and 8, and 6 months post-intervention
Height (cm)
Height measured using a stadiometer with participants standing upright, feet together, in Frankfurt plane position.
Baseline, Weeks 2, 4, 6, and 8, and 6 months post-intervention
Waist circumference (cm)
Waist circumference was measured using a non-stretch tape measure along the midline between the lowest rib and the iliac crest, with the individual standing with their feet together and arms at their sides in a relaxed position.
Baseline, Weeks 2, 4, 6, and 8, and 6 months post-intervention
Hip circumference (cm)
Hip circumference was measured using a non-stretchable tape measure across the widest part of the hips, with the individual standing upright, feet together and arms at their sides
Baseline, Weeks 2, 4, 6, and 8, and 6 months post-intervention
Neck circumference (cm)
During neck circumference measurements, participants were positioned upright with their arms at their sides and their feet together. The measurements were taken by the researcher, who stood opposite the participant, using a non-stretchable tape measure around the neck near the shoulder.
Baseline, Weeks 2, 4, 6, and 8, and 6 months post-intervention
waist-to-height ratio
Waist-to-height ratio calculated by dividing waist circumference (cm) by height (cm).
Baseline, Weeks 2, 4, 6, and 8, and 6 months post-intervention
waist-to-hip ratio
Waist-to-hip ratio calculated by dividing waist circumference (cm) by hip circumference (cm).
Baseline, Weeks 2, 4, 6, and 8, and 6 months post-intervention
basal metabolic rate (kcal)
The measurements were taken using bioelectrical impedance analysis (BIA) with the INBODY 270 device.
Baseline, Weeks 2, 4, 6, and 8, and 6 months post-intervention
Body Fat mass (kg)
The measurements were taken using bioelectrical impedance analysis (BIA) with the INBODY 270 device.
Baseline, Weeks 2, 4, 6, and 8, and 6 months post-intervention
Lean body mass (kg)
The measurements were taken using bioelectrical impedance analysis (BIA) with the INBODY 270 device.
Baseline, Weeks 2, 4, 6, and 8, and 6 months post-intervention
Percentage of lean body mass(%)
The measurements were taken using bioelectrical impedance analysis (BIA) with the INBODY 270 device.
Baseline, Weeks 2, 4, 6, and 8, and 6 months post-intervention
Body fat percentage (%)
The measurements were taken using bioelectrical impedance analysis (BIA) with the INBODY 270 device.
Baseline, Weeks 2, 4, 6, and 8, and 6 months post-intervention
Total body water (L)
The measurements were taken using bioelectrical impedance analysis (BIA) with the INBODY 270 device.
Baseline, Weeks 2, 4, 6, and 8, and 6 months post-intervention
Lipid accumulation product index-LAP
Calculated using validated formulas based on anthropometric measurements and relevant biochemical parameters (waist circumference(cm) and triglycerides (mmol/L))
Baseline, Week 8 and 6 months post-intervention
Visceral adiposity index-VAI
Calculated using validated formulas based on anthropometric measurements and relevant biochemical parameters (waist circumference (cm), body mass index(kg/m²),HDL-C (mmol/L) and triglycerides (mmol/L)).
Baseline, Week 8 and 6 months post-intervention
Conicity index - CI
Calculated using validated formulas based on anthropometric measurements and relevant biochemical parameters (waist circumference (m),Body weight (kg), Height (m) )
Baseline, Week 8 and 6 months post-intervention
A body shape index-ABSI
Calculated using validated formulas based on anthropometric measurements and relevant biochemical parameters (waist circumference (m), BMI(kg/m²) and heigh(m))
Baseline, Week 8 and 6 months post-intervention
Abdominal volume index-AVI
Calculated using validated formulas based on anthropometric measurements and relevant biochemical parameters (waist circumference (cm), hip circumference (cm)).
Baseline, Week 8 and 6 months post-intervention
Body adiposity index-BAI
Calculated using validated formulas based on anthropometric measurements and relevant biochemical parameters (Hip circumference (cm), Height (m)).
Baseline, Week 8 and 6 months post-intervention
Body roundness index-BRI
Calculated using validated formulas based on anthropometric measurements and relevant biochemical parameters (Waist circumference (m), Height (m)).
Baseline, Week 8 and 6 months post-intervention
Anthropometric risk index-ARI
Anthropometric Risk Score (ARS) is a composite score calculated by scoring each anthropometric parameter (BMI, waist circumference, waist-to-hip ratio, and waist-to-height ratio) based on established reference cutoff values and summing the individual scores.
Baseline, Week 8 and 6 months post-intervention
Fasting blood glucose (mg/dL)
No additional blood samples were collected from participants. Biochemical data were obtained from existing health records, reflecting results from the previous 3 months, measured after a minimum 8-hour fasting period using standard laboratory methods.
Baseline, Week 8 and 6 months post-intervention
Triglycerides (mg/dL)
No additional blood samples were collected from participants. Biochemical data were obtained from existing health records, reflecting results from the previous 3 months, measured after a minimum 8-hour fasting period using standard laboratory methods.
Baseline, Week 8 and 6 months post-intervention
Total cholesterol (mg/dL)
No additional blood samples were collected from participants. Biochemical data were obtained from existing health records, reflecting results from the previous 3 months, measured after a minimum 8-hour fasting period using standard laboratory methods.
Baseline, Week 8 and 6 months post-intervention
HDL cholesterol (mg/dL)
No additional blood samples were collected from participants. Biochemical data were obtained from existing health records, reflecting results from the previous 3 months, measured after a minimum 8-hour fasting period using standard laboratory methods.
Baseline, Week 8 and 6 months post-intervention
LDL cholesterol (mg/dL)
No additional blood samples were collected from participants. Biochemical data were obtained from existing health records, reflecting results from the previous 3 months, measured after a minimum 8-hour fasting period using standard laboratory methods.
Baseline, Week 8 and 6 months post-intervention
Thyroid stimulating hormone (TSH) (µIU/mL)
No additional blood samples were collected from participants. Biochemical data were obtained from existing health records, reflecting results from the previous 3 months, measured after a minimum 8-hour fasting period using standard laboratory methods.
Baseline, Week 8 and 6 months post-intervention
Alanine aminotransferase (ALT) (U/L)
No additional blood samples were collected from participants. Biochemical data were obtained from existing health records, reflecting results from the previous 3 months, measured after a minimum 8-hour fasting period using standard laboratory methods.
Baseline, Week 8 and 6 months post-intervention
Aspartate aminotransferase (AST) (U/L)
No additional blood samples were collected from participants. Biochemical data were obtained from existing health records, reflecting results from the previous 3 months, measured after a minimum 8-hour fasting period using standard laboratory methods.
Baseline, Week 8 and 6 months post-intervention
Secondary Outcomes (3)
perceived stress level
Baseline, Week 8 and 6 months post-intervention
dietary self-efficacy
Baseline, Week 8 and 6 months post-intervention
General Well-Being
Baseline, Week 8 and 6 months post-intervention
Study Arms (2)
3 Meal Group
ACTIVE COMPARATORParticipants followed a weight-loss diet consisting of 3 main meals per day.
6 Meal Group
EXPERIMENTALParticipants followed a weight-loss diet consisting of 3 main meals and 3 snacks per day.
Interventions
A personalised weight-loss diet that reduces daily calorie intake by 500-700 kcal. Group 1 followed the diet for 8 weeks, consisting of 3 main meals a day.
A personalised weight-loss diet that reduces daily calorie intake by 500-700 kcal. Group 1 followed the diet for 8 weeks, consisting of 3 main meals and 3 snacks per day.
Eligibility Criteria
You may qualify if:
- Female participants aged 25-55 years
- Body mass index (BMI) between 25 and 35 kg/m²
- having a history of weight fluctuations
- Willingness to participate and provide informed consent
You may not qualify if:
- Presence of cardiovascular disease
- Chronic kidney disease
- Hypertension
- Diagnosis of Type 1 or Type 2 diabetes mellitus
- Pregnancy or breastfeeding
- Use of any medication or dietary supplement for weight loss or fat reduction
- Engagement in intense physical activity
- No having a history of weight fluctuations
- Menopausal status
- Failure to attend scheduled follow-up visits
- Non-adherence to the intervention protocol for three consecutive days
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Ankara Medipol University
Ankara, Altındağ, Turkey (Türkiye)
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Elif Dadak Yıldırım, PhD(c)
Ankara Medipol University
- PRINCIPAL INVESTIGATOR
İlknur G Yıldırım, Asst. Prof.
Ankara Medipol University
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
April 30, 2026
First Posted
May 13, 2026
Study Start
August 4, 2025
Primary Completion
October 1, 2025
Study Completion
May 1, 2026
Last Updated
May 13, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will not share
Individual participant data will not be shared to protect participant privacy and confidentiality. All data were collected under informed consent with assurances of anonymity