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| Name | Class |
|---|---|
| Cambridge University Hospitals NHS Foundation Trust | OTHER |
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Obesity and its related health problem, like fatty liver disease and type 2 diabetes, are major health problems worldwide and can lead to serious illness and reduced quality of life. Most advice focuses on eating fewer calories and increasing physical activity, but new research suggests that when we eat may also matter. Late meals can disrupt blood sugar control, how the body processes fat, and hormone balance. However, it is not fully understand how meal timing affects people who may be more at-risk. For example new mothers face disrupted sleep, which can lead to eating later in the day. People with fatty liver disease may have eating patterns that unintentionally worsen their condition.
To explore this, the study will include the following groups;
The aim of the study is to compare meal timing habits between these groups. All participants will complete a 3-day diet diary and a questionnaire about eating habits, sleep, lifestyle, and daily routines. Some participants may opt to complete an optional body composition check using a mobile app. A smaller subset of volunteers will take part in additional assessment, including a fasting blood sample, basic measurements (such as height, weight, and waist size), a body scan to measure fat and muscle. They will also wear a small device to track their blood sugar and another to monitor sleep and activity for 14 days. This study will increase the current understanding on how eating patterns and daily routines differ in these groups, and may help improve future advice on healthy lifestyles.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Women in early motherhood | Women aged 18-50, within one year of their first birth, enrolled to examine temporal eating patterns and metabolic health in early motherhood. | ||
| Adults with MASLD | Adults aged 18-80 with a confirmed self-reported diagnosis of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD), irrespective of disease stage, enrolled to examine the role of temporal eating patterns and metabolic health. | ||
| Adults without MASLD | Adults aged 18-80 without a confirmed MASLD diagnosis, matched to cases by age, sex, and body weight, enrolled to examine temporal eating patterns and metabolic health. | ||
| Nulliparous Women | Nulliparous women aged 18-50 with no history of childbirth, matched to postpartum participants by age and body weight, enrolled to examine temporal eating patterns and metabolic health. |
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| Measure | Description | Time Frame |
|---|---|---|
| Eating window duration across study groups | Characterisation and comparison of eating window duration between individuals with and without MASLD, and women in early motherhood compared to nulliparous women, derived from a 3-day dietary log completed via Intake24 over 3 non-consecutive days. | Single time point assessment over 3 non-consecutive days during study participation. |
| Measure | Description | Time Frame |
|---|---|---|
| Caloric midpoint time across study groups | Characterise and compare the time at which 50% of the total daily caloric intake has been consumed between individuals with and without MASLD, and women in early motherhood compared to nulliparous women, derived from a 3-day dietary log completed via Intake24 over 3 non-consecutive days. | Single time point assessment over 3 non-consecutive days during study participation. |
| Measure | Description | Time Frame |
|---|---|---|
| Meal frequency across study groups | Characterise and compare the number of eating occasions per day between individuals with and without MASLD, and women in early motherhood compared to nulliparous women, derived from a 3-day dietary log completed via Intake24 over 3 non-consecutive days. | Single time point assessment over 3 non-consecutive days during study participation. |
Inclusion Criteria:
General (applied to all participants)
MASLD Cohort
Early Motherhood Cohort
Exclusion Criteria:
Adult participants may not enter the study if ANY of the following apply:
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Adults with Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) and women in early motherhood, recruited alongside matched control groups, from the NIHR BioResource cohort and community recruitment channels in the Cambridgeshire region, UK. A subset of participants will be recruited through the Institute of Metabolic Science at Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, for optional in-person assessments.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Maria Chondronikola, PhD, MS, MPH, RDN | Contact | +44-1223-746784 | mc2425@medschl.cam.ac.edu |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Cambridge Clinical Research Centre | Cambridge | Cambridgeshire | CB2 0SL | United Kingdom |
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