The Effect of an Oral Nutritional Supplement on the Nutritional and Health Outcomes of the Elderly

NCT ID: NCT06773975

Last Updated: 2025-12-05

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

PHASE1

Total Enrollment

80 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-11-24

Study Completion Date

2026-04-30

Brief Summary

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I am conducting this research to find out if a peanut based food that is ready to use would improve the nutritional and health outcomes of the elderly when they consume it daily for 12 weeks. Eligible participants will be assigned randomly to any of these 2 groups.

1. To consume the food once a day in between meals in addition to their usual food for 12 weeks (3 months) or
2. A control group that will not be given the food. Measurements such as weight, blood pressure and the hand grip strength will be taken at the certain points of the study. A sterile needle will be used to draw about 5 ml of venous blood (from the arm) at the beginning of the study and after 12 weeks. Analyses would be carried out on the blood to know if the food has made an impact on serum albumin, ferritin, haemoglobin and cholesterol. If the findings of the study are favourable, it would provide insights for a larger randomized controlled trial that could establish the efficacy of a locally produced peanut based food for the feeding of the elderly.

Detailed Description

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Study design A hybrid study comprising of a cross sequential study and a randomized controlled trial.

Study area The study locations are the following five peri urban communities out of the ten peri urban communities in the La Nkwantanang Madina Municipality (LANMA) of the Greater Accra Region in Ghana; Ayi Mensah, Kweiman, Danfa, Adoteiman and Otinibi. These have been conveniently selected because they are a continuous stretch of five communities in the order listed above to reduce the cost of transportation of data collectors and logistics, distribution of the intervention and data collection based on funds available for the project.

Sample size Assumptions: A Cohen's medium effect size of 0.3, a statistical power of 80% at a 5% level of significance, G-power 3.9.1.7 software generated a sample size of 90 participants per treatment group. Accounting for attrition rate + loss to follow up of 10% = 99 participants \* 2 treatment groups

= A total sample size of 198 elderly individuals. This has been rounded off to 200 participants. The census to recruit the 200 eligible participants has been completed as of December 13, 2024.

A cross-sectional survey to identify the relationship between usual dietary intake, handgrip strength and blood pressure has been conducted for the 200 participants. Eighty of the participants will be randomly selected as participants for a 12 week randomized control trial.

Assumptions (80 participants): A Cohen's medium effect size of 0.25, a statistical power of 90% at a 5% level of significance, GPower 3.1.9.4 generated a sample size of 36 participants per treatment group. Accounting for attrition rate and a loss to follow up of 10% = 40 participants \* 2 treatment groups. A total sample size of 80 elderly individuals.

Data collection for the randomized control trial An interviewer administered questionnaire will be used to obtain the following information at different points of assessments

Baseline data collection Sociodemographic characteristics and medical history such as age, sex, highest level of education, marital status, ethnicity and use of iron supplements, anti-hypertensive drugs and cholesterol lowering drugs will be collected.

Baseline, midline (6 weeks) and endline (12 weeks) A multiple pass quantitative 24-hour dietary recall to obtain information on dietary intake. Household measures and food models will be used to estimate portion sizes. The Physical Activity Scale for the Elderly (PASE) by Washburn et al. (1993) will be used to measure level of physical activity. Body weight, hand grip strength, systolic and diastolic blood pressure will be measured.

Weekly All participants will receive nutrition education at baseline and weekly thereafter. Information on adherence will be collected by evidence of pouches of previous week's ration to calculate percentage of quantity consumed. The 24-hour dietary recall will also be used to track adherence. Information on morbidity on the use of oral nutritional supplements will be collected using the questionnaire for gastrointestinal problems adapted from Pereira et al. (2014).

Baseline and 12 weeks A qualified phlebotomist will take a 5ml venous blood for analyses of the following: serum albumin, serum ferritin, serum cholesterol and haemoglobin

The intervention A 7-day ration of the oral nutritional supplement will be distributed to the intervention arm once a week. A day's serving of 330 ml is to be consumed in between meals. After endline data collection, the control arm will be given a ration of the oral nutritional supplement that will be enough for one month.

Statistical analyses

* To investigate the effect of sociodemographic characteristics, dietary intake and level of physical activity on the outcome measures, binary logistic regression for categorical variables, multinomial or ordinal logistics regression for multiple variables and linear regression for continuous variables
* To determine the efficacy of the oral nutritional supplement on outcome measures within the same treatment arm, repeated measures ANOVA and paired-sample t-test will be used
* To determine the differences in outcomes between the treatment groups the multivariate ANOVA and independent sample t-test will be used.

Data entry and management Field investigators will enter data collected on pre-programmed tablets that are functioning well. After each day's work, the supervisor will cross check and review all data in the presence of field investigators to ensure that complete and consistent data is finally submitted. The supervisor will flag any aberrant values and consult with the relevant field worker within 24 hours so that gaps will be filled, errors resolved and repeat interviews/visits can be conducted if need be. The submitted data will be accessed by the principal investigator daily for real-time review and monitoring. Once all data have been entered, reviewed and cleaned, final SPSS datasets will be generated and made available to the principal investigator for analysis. As soon as the manuscripts summarizing the study's primary outcomes are published, all datasets will be made available to any one who request it for research purposes.

Informed consent forms will be stored under lock and key.

Conditions

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Hypertension Hand Grip Strength Body Weight Iron Deficiency Anaemia Total Cholesterol Protein Deficiency

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

The study participants will be randomized to two arms; one arm will be given a plant-based oral nutritional supplement for 12 weeks and the other arm (control) will not be given any treatment.

An oral nutritional supplement arm and a no treatment arm.
Primary Study Purpose

PREVENTION

Blinding Strategy

NONE

Study Groups

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Oral nutritional supplement

Participants will consume daily for 12 weeks in between meals, a 300 ml oral nutritional supplement

Group Type EXPERIMENTAL

Oral nutritional supplementation

Intervention Type DIETARY_SUPPLEMENT

The oral nutritional supplement is a locally made plant based formulation targeted to improve the nutritional status of the elderly

No treatment or the control group

The participants in the no treatment group or control group will not receive any treatment during the 12 weeks except for nutrition education that will be given at certain points to all the participants

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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Oral nutritional supplementation

The oral nutritional supplement is a locally made plant based formulation targeted to improve the nutritional status of the elderly

Intervention Type DIETARY_SUPPLEMENT

Eligibility Criteria

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Inclusion Criteria

* Elderly individuals aged 60 years and above
* Consent to participate

Exclusion Criteria

* Peanut allergy
* Millet allergy
* Sesame seeds allergy
* The use of oral nutritional supplement
* Sickle cell disease
* End stage and terminal illness (cancer, stroke, liver disease, dialysis)
* Clinical depression
* Speech impairment
* Hearing impairment
* Visual impairment
* Cognitive impairment Screening/for cognitive impairment; the Abbreviated Mental Test Score by HODKINSON (1972) was adapted for use.
Minimum Eligible Age

60 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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University of Ghana

OTHER

Sponsor Role lead

Responsible Party

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Matilda Anim-Fofie

Principal Investigator and a PhD candidate studying Nutrition at the Department of Nutrition and Food Science-University of Ghana

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Gloria E. Otoo, PhD in Nutrition

Role: STUDY_DIRECTOR

University of Ghana

Matilda Steiner-Asiedu, PhD in Nutrition

Role: STUDY_DIRECTOR

University of Ghana

Jolene Nyako, PhD in Nutrition

Role: STUDY_DIRECTOR

Council for Scientific and Industrial Research-Food Research Institute, Accra-Ghana

Firibu K. Saalia, PhD in Food Science

Role: STUDY_DIRECTOR

University of Ghana

Locations

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University of Ghana

Accra, Greater Accra Region, Ghana

Site Status RECRUITING

Countries

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Ghana

Central Contacts

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Matilda Anim-Fofie, MPhil in Nutrition

Role: CONTACT

+233501259184

Gloria E. Otoo, PhD Nutrition

Role: CONTACT

+233209535981

Facility Contacts

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Matilda Anim-Fofie, Mphil Nutrition

Role: primary

Matilda Steiner-Asiedu, PhD Nutrition

Role: backup

References

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Billingham et al. 2013

Reference Type BACKGROUND

Washburn RA, Smith KW, Jette AM, Janney CA. The Physical Activity Scale for the Elderly (PASE): development and evaluation. J Clin Epidemiol. 1993 Feb;46(2):153-62. doi: 10.1016/0895-4356(93)90053-4.

Reference Type BACKGROUND
PMID: 8437031 (View on PubMed)

Other Identifiers

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ORTONSINTUGDNFSSFPEMATGLSTJOSA

Identifier Type: -

Identifier Source: org_study_id

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