The University of Auckland
2 files

HVN1935 YUMMI Metadata Record - Investigating the effects of cow, goat or sheep milk on nutrition and digestive comfort in older women

posted on 2024-04-10, 04:41 authored by Warren McNabb

This metadata record and it's attached files make statements about the kinds of data collected as part of this research, and set out policies for governance of that data, now and in the future.

Description: Protein and calcium are essential nutrients for older adults to help maintain muscle and bone mass, but these nutrients are often not consumed in recommended amounts. Milk is an excellent source of both protein and calcium, along with other important nutrients. Milk avoidance is often associated with poor nutrition in older adults.

Older adults may avoid milk due to gastrointestinal discomfort after consuming milk, which may be caused by age-related changes in gastrointestinal function. Women may be more susceptible to these effects. However, milk from different ruminant species (for example, cow, sheep, or goat) may have different effects on gastrointestinal comfort. For instance, although cow milk is most often consumed in NZ, goat and sheep milk may be better tolerated due to different protein structures that may be easier to digest than cow milk protein. Most studies examining differences in the type of milk on nutrition intake and gastrointestinal comfort have included younger people, and are of short duration.

Therefore, the aim of this study is to compare the effects of consuming different types of milk (goat, sheep, cow) on nutrition intake and gastrointestinal comfort of older adults, over 12 weeks.

This research will help determine whether healthy older adults in NZ and worldwide can drink alternatives to cow milk, such as goat and sheep milk, to meet their protein, energy, vitamin, and mineral requirements with greater ease of digestion and reduced gastrointestinal discomfort.



University of Auckland

Temporal coverage: start


HVN Project / Programme Name


Data access requirements

Individual data is not available to the public. It would be a breach of data security.

Principal investigator organisation

Massey University

Collaborating researchers and affiliations

Principal Investigators: Professor Warren McNabb, Ridett Institute, Massey University, Palmerston North Dr Jody Miller, University of Otago, Dunedin Professor Nicole Roy, University of Otago, Dunedin Associate Investigators: Professor Richard Gearry (University of Otago)

Data description

Outcomes of the Study and associated data Primary outcomes - Changes in abdominal pain scores - Changes in bowel comfort scores - Changes in protein intake Associated data: Gastrointestinal Symptom Rating Scale (GSRS), 3-day diet records Secondary outcomes - Changes in blood selenium, zinc, and magnesium levels. - Determine habitual food and nutrient intake (protein, total fat, calcium, magnesium) before and during the intervention. - Changes in depression scores - Changes in anxiety scores - Changes in fat-free body mass - Changes in physical activity levels - Changes in handgrip strength - Changes in the faecal metabolome, metagenome (DNAseq), bile and organic acid production - Changes in plasma metabolome and neurotransmitters assessed - Changes in stool form, frequency, and comfort - Changes in the composite cardiovascular risk profile - Postprandial plasma leucine - Postprandial satiety - Comparison of the GlucoTRIG index scores between the different milks - Postprandial plasma amino acids - Postprandial gastrointestinal (GI) comfort - Changes in sleep quality - Changes in walking speed Associated data: Blood selenium, zinc, and magnesium levels, Patient-Reported Outcomes Measurement Information System Questionnaire (PROMIS Depression), Patient-Reported Outcomes Measurement Information System Questionnaire (PROMIS Anxiety), Dual-energy X-ray Absorptiometry (DXA), Accelerometry data, Dynamometer data, Faecal Metagenome – DNASeq, Faecal Metabolome, Faecal Organic and Bile Acids, Plasma Metabolome, Plasma Neurotransmitters, Bowel Habit Diary, Plasma lipid profile, Anthropometric measurements (height, weight and waist circumference), Blood Pressure, Plasma amino acid levels, Plasma insulin and triglycerides levels, Visual Analogue Scales (VAS) for satiety, Leeds Sleep Questionnaire, Timed Walk Test data

Principal investigator contact email