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NUT Development of nutritional strategies for diabetes prevention in Malawian adults at high diabetes risk Karonga

Malawi, 2018 - 2019
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Reference ID
DDI-MWI-KA-MEIRU-NUT-2019-v01
Producer(s)
Prof Mia Crampin, Dr Christopher Bunn
Collections
Karonga HDSS
Metadata
DDI/XML JSON
Created on
Nov 14, 2025
Last modified
Nov 19, 2025
Page views
53297
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  • Study Description
  • Data Dictionary
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data Access
  • Metadata production
  • Identification

    Survey ID number

    DDI-MWI-KA-MEIRU-NUT-2019-v01

    Title

    NUT Development of nutritional strategies for diabetes prevention in Malawian adults at high diabetes risk Karonga

    Country
    Name Country code
    Malawi MWI
    Abstract

    Diabetes prevalence in Malawi, at 5.5%, is comparable to high-income countries (HIC) in Europe, despite a relatively low prevalence of obesity and physical inactivity. Approximately 40% of Malawians with diabetes have 'normal' BMIs. We hypothesised that a combination of sub-optimal nutrition in utero and/or childhood and high levels of exposure to infection which together contribute to low muscle mass and strength are likely to contribute to a different diabetes risk phenotype in Malawians compared to those in HIC. Thus interventions, focused on weight loss and increased physical activity, which have been effective at preventing diabetes in HIC may not be effective in Malawi and a shift towards nutritional interventions focused on increasing muscle mass & strength and reducing inflammation was likely a more effective approach. Our long-term aim was therefore to develop and implement effective and pragmatic large-scale nutritional interventions optimized to prevent diabetes in Malawians at elevated diabetes risk. The overall aim of this project was to undertake key initial steps to facilitate the development of such interventions. Our first objective was to increase understanding of the links between nutritional intake and status, and the physical, metabolic and inflammatory phenotype in Malawian adults at increased risk of diabetes. To achieve this we recruited 50 participants (25 from rural and 25 from urban areas) with pre-diabetes and an equivalent number of age- and sex- matched healthy participants (25 rural and 25 urban) and make measurements of dietary intake, body composition, grip strength, physical activity levels, cardiometabolic risk profile (glucose, HbA1c, lipids, insulin, blood pressure), gut microbiota and inflammatory markers (detailed below). This enabled detailed characterization of the Malawian 'pre-diabetes' phenotype and identification of aspects of dietary intake which could potentially be altered in nutritional interventions to reduce diabetes risk. Our second aim was to explore nutritional practices and understandings of diabetes in urban and rural communities in Malawi, and consider which nutritional practices might be amenable to changes likely to reduce risk of developing diabetes. To achieve this we undertook secondary analysis of existing interview, focus group and observational qualitative data collected by MEIRU during studies investigating salt intake and diabetes medication adherence in Malawi [NHRSC protocol ~1425], and supplemented this with primary data collection (via focus groups) to explore nutritional and physical activity (exercise) practices and understandings of diabetes in urban and rural communities in Malawi, and considered which nutritional and physical activity practices might be amenable to changes likely to reduce risk of developing diabetes.

    NHSRC number: 18/01/1951

    Unit of Analysis

    Individual

    Version

    Version Date

    2020-11-05

    Scope

    Notes

    Malnutrition
    Growth Disorders
    Adolescent
    Cognition
    Cardiovascular Diseases
    BodyComposition
    Physical fitness
    Sodium
    Hypertension
    Cardiovascular diseases

    Topics
    Topic Vocabulary
    Malnutrition MeSH
    Growth Disorders MeSH
    Adolescent MeSH
    Cognition MeSH
    Cardiovascular Diseases MeSH
    Body Composition MeSH
    Physical fitness MeSH
    Malawi MeSH
    Sodium
    Hypertension
    Cardiovascular diseases

    Coverage

    Geographic Coverage

    Chilumba

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Prof Mia Crampin Malawi Epidemiology and Intervention Research Unit
    Dr Christopher Bunn University of Glasgow
    Producers
    Name Affiliation Role
    McDonald Chabwera Malawi Epidemiology and Intervention Research Unit Study lead (Lilongwe)
    Shekinah Mkandawire Malawi Epidemiology and Intervention Research Unit Study lead (Chilumba)
    Hazel Namadingo Malawi Epidemiology and Intervention Research Unit Investigator
    Dr Beatrice Mtimuni Lilongwe University of Agriculture and Natural Resources Investigator
    Prof Victor Mwapasa Investigator
    Prof Moffat Nyirenda Investigator
    Prof Jason Gill University of Glasgow Investigator
    Dr. Cindy Gray University of Glasgow Investigator
    Dr Christine Edwards University of Glasgow Investigator
    Funding Agency/Sponsor
    Name Abbreviation Role
    Medical Research Council (UK) MRC Funder
    University of Glasgow UoG Sponsor

    Sampling

    Sampling Procedure

    In this initial project, funded to promote development of nutritional research around NCD and develop partnerships, we had no prior data on expected prevalence of most of the outcome measures in pre-diabetic participants as this group was not studied in this setting before. We do have data on the prevalence of obesity in these groups from our baseline NCD survey. We expected other abnormal indices to have similar magnitudes of difference, but had no data available for sample size calculations at this stage. It was likely that this hypothesis generating study would generate good estimates of risk that can support sample size calculations for an intervention trial which was the long term goal.
    Our study size was 50 pre-diabetics and 50 age-sex matched participants will have 93% power to detect the observed difference in obesity rates between the two groups (8% healthy, 35% pre-diabetic have BMI > 30kg/m2)):

    alpha = 0.0500 (one-sided)
    p1 = 0.0800
    p2 = 0.3500
    sample size n1 = 50
    n2 = 50
    n2/n1 = 1.00
    Estimated power:
    power = 0.9306

    Survey instrument

    Questionnaires

    NUT study used a number of questionnaires including the following: Weighed food records which was used to determine the amount of food that was consumed by the participants. This questionnaire helped in the validation of a food frequency questionnaire (FFQ) which was the used for a similar purpose in the main study. The study also used a multi-pass food frequency questionnaire which works in a similar way as the food frequency questionnaire. Other questionnaires include Health history questionnaire which basically asks how active the participants were during the study period and the data from this questionnaire helps to check how healthy the participants were during the entire study period.

    Blood pressure , Grip strength, Skinfold thickness and ECG were also used to check for cardiovascular health, strength of both hands, the amount of fat mass and body composition respectively.

    All the questionnaires were formed in English and later translated into Chichewa and Tumbuka depending on the site of the study. Anthropometric measurements and stool samples were collected from all study participants to help the laboratory team check for gut micro biota that relates to consumption of food which may protect or predispose a person to diabetes.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2018-12-10 2019-03-19 1
    Mode of data collection
    • Face-to-face [f2f]
    Data Collectors
    Name Abbreviation
    Malawi Epidemiology and Intervention Research Unit MEIRU

    Data Access

    Access authority
    Name
    Malawi Epidemiology and Intervention Research Unit

    Metadata production

    DDI Document ID

    DDI-MWI-KA-MEIRU-NUT-2019-v01

    Producers
    Name Abbreviation Affiliation Role
    Malawi Epidemiology and Intervention Research Unit MEIRU Agency
    Estelle McLean EM LSHTM and MEIRU Production of the documentation used to create this DDI document.
    Chifundo Kanjala CK MEIRU Data documentalist
    Dominic Nzundah DN MEIRU Metadata entry and editing
    Date of Metadata Production

    2020-11-05

    Metadata version

    DDI Document version

    version 1 (October, 2020)

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