Actively Recruiting

Phase Not Applicable
Age: 35Years - 65Years
FEMALE
Healthy Volunteers
ID04869098

Effects of an Evening Whey Protein Drink on Blood Sugar, Metabolic Health, and Gut Hormones in Female Night Shift Workers

Led by University of Adelaide · Updated on 2024-12-24

30

Participants Needed

1

Research Sites

274 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

Researchers are evaluating how consuming a whey protein supplement before the evening meal affects metabolic health and blood glucose in female night shift workers aged 35 to 65 years. The study focuses on women who have been working night shifts for at least six months and have conditions like type 2 diabetes and shift-work disorder. This trial aims to understand the impact of protein intake timing on health outcomes in this specific population. Participants will be randomly assigned to receive two different treatments in sequence: a 30g whey protein drink or a calorie-matched placebo drink. Each treatment will be taken 1 to 1.5 hours before their main evening meal every day for 12 days, with a two-week break between treatments where usual diet and activity are maintained. No other dietary or lifestyle advice will be given during the intervention periods. Throughout the study, participants will undergo metabolic testing at the start and end of each treatment phase to measure outcomes such as blood glucose response over a 12-day period with a 3-hour meal test. Researchers will monitor health markers related to metabolism and gut hormone release to assess the effects of the protein preload compared to placebo. The total study duration includes two 12-day treatment periods separated by a washout period.

CONDITIONS

Official Title

Effects of an Evening PROtein PrEload on Metabolic Health in Night ShIfT Workers (PROPENSITy)

Who Can Participate

Age: 35Years - 65Years
FEMALE
Healthy Volunteers

Eligibility Criteria

Eligible

You may qualify if you...

  • Female
  • Night shift workers with at least 6 months in their current shift work schedule
  • Aged between 35 and 65 years
  • Body mass index (BMI) between 28.0 and 35.0 kg/m2 with waist circumference greater than 80 cm
  • Weight stable for the past 6 months
Not Eligible

You will not qualify if you...

  • Working only standard daytime hours or fewer than three to four night shifts per fortnight on average
  • Personal history or diagnosis of diabetes, cancer, major psychiatric disorders, liver disease, gastrointestinal surgery or disease (including malabsorption), eating disorders, anaemia, insomnia, cardiovascular disease, or any unstable condition as judged by the study physician
  • Taking medications that alter body composition or metabolism, including antidiabetic drugs or those affecting weight, appetite, or gut motility (except stable doses of androgenic medications or SSRIs)
  • Pregnant, planning pregnancy, or breastfeeding
  • Weight change greater than 5% in the last 6 months
  • Consuming four or more standard alcoholic drinks daily or almost daily
  • Current smoker of cigarettes, marijuana, e-cigarettes, or vaporizers
  • Unable to understand the study protocol due to language or cognitive difficulties

AI-Screening

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Trial Site Locations

Total: 1 location

1

University of Adelaide

Adelaide, South Australia, Australia

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Research Team

A

Amy Hutchison, PhD

L

Leonie Heilbronn, PhD

How is the study designed?

Study Type

INTERVENTIONAL

Masking

DOUBLE

Allocation

RANDOMIZED

Model

CROSSOVER

Primary Purpose

PREVENTION

Number of Arms

2

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