Associations between dietary and lifestyle patterns and metabolic risk factors in the young adult population of Rwanda
6 affiliations
- 1School of Agriculture and Food Sciences, College of Agriculture, Animal Sciences and Veterinary Medicine, University of Rwanda, Musanze, Rwanda
- 2Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- 3Department of Nutrition, School of Public Health, Arba Minch University, Arba Minch, Ethiopia
- 4Unité Nutrition et Maladies Métaboliques, Institut de Recherche en Sciences de la Santé, Centre National de la Recherche Scientifique et Technologique, Ouagadougou, Burkina Faso
- 5Technological University Dublin, Dublin, Ireland
- 6Global Alliance for Improved Nutrition (GAIN), Kigali, Rwanda
Abstract
Background: Diet and lifestyle are key modifiable risk factors for the components of metabolic syndrome (MetS). In low- and middle-income countries undergoing nutrition transition, the relative importance of dietary patterns versus broader lifestyle, socio-demographic, and economic determinants of metabolic risk remains unclear, particularly among young adults. This study aimed to examine these associations in Rwanda.
Methods: Between January and April 2023, a community-based cross-sectional survey was conducted among Rwandan adults aged 18–35 years (N = 699). Dietary intake was assessed with a validated food frequency questionnaire, and dietary patterns were derived using exploratory factor analysis. Lifestyle behaviour patterns were identified using latent class analysis based on seven risk behaviours. Metabolic risk factors were assessed following WHO STEP-wise approach. A Mixed-effect logistic regression, with province included as a random effect, examined associations between dietary/lifestyle patterns and MetS components, adjusting for socio-demographic and economic factors.
Results: Three dietary patterns were identified (Modern, Low-variety, and Traditional). Latent class analysis yielded two lifestyle classes: a lower-risk unhealthy lifestyle class (25.75%) and a higher-risk unhealthy lifestyle class (74.25%) characterized by greater probability of smoking, heavy episodic drinking, sedentary behaviour, inadequate sleep, and high salt intake. Individual metabolic risk factors were common (e.g., reduced high-density lipoprotein-cholesterol HDL-C: 25.9%; abdominal obesity: 20.3%), though MetS prevalence was low (5.4%). In multivariable-adjusted analyses, dietary patterns showed no independent associations with any MetS component. In contrast, the high-risk lifestyle pattern was positively associated with elevated fasting blood glucose (Odd Ratio, OR = 2.05, 95% Confidence Interval, CI: 1.14, 3.70) and inversely associated with abdominal obesity (OR = 0.36, 95% CI: 0.20, 0.67). Socio-demographic and economic factors, particularly sex, age, occupation, and urban/rural residence, showed strong and consistent associations with MetS components.
Conclusion: Among young adults in Rwanda, lifestyle and socio-demographic and economic factors showed more consistent associations with metabolic risk indicators, whereas dietary patterns did not show independent associations. Future longitudinal investigations incorporating additional lifestyle factors and objective dietary assessment methods to overcome the inherent limitations of self-reported intake are warranted. In parallel, public health policy should prioritise targeted, community-based lifestyle interventions and socioeconomic disparity-reduction strategies to reduce metabolic risk among young adults.
Trial registration: The study was registered as a clinical trial on November 27, 2019, at clinicaltrials.gov (reference number NCT04204538).
Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1186/s12889-026-28714-1.
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BibTeX
@article{nsabimana2026associations,
title = {{Associations between dietary and lifestyle patterns and metabolic risk factors in the young adult population of Rwanda}},
author = {Phenias Nsabimana and Befikadu Tariku Gutema and Jérome W. Somé and Zara Twomey and Marie Chantal Ishimwe and Hilda Vasanthakaalam and Stefaan De Henauw and Souheila Abbeddou},
journal = {BMC Public Health},
year = {2026},
month = jul,
doi = {10.1186/s12889-026-28714-1},
url = {https://doi.org/10.1186/s12889-026-28714-1},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Associations between dietary and lifestyle patterns and metabolic risk factors in the young adult population of Rwanda
AU - Phenias Nsabimana
AU - Befikadu Tariku Gutema
AU - Jérome W. Somé
AU - Zara Twomey
AU - Marie Chantal Ishimwe
AU - Hilda Vasanthakaalam
AU - Stefaan De Henauw
AU - Souheila Abbeddou
PY - 2026
DA - 2026/07/25
JO - BMC Public Health
DO - 10.1186/s12889-026-28714-1
UR - https://doi.org/10.1186/s12889-026-28714-1
AB - Background: Diet and lifestyle are key modifiable risk factors for the components of metabolic syndrome (MetS). In low- and middle-income countries undergoing nutrition transition, the relative importance of dietary patterns versus broader lifestyle, socio-demographic, and economic determinants of metabolic risk remains unclear, particularly among young adults. This study aimed to examine these associations in Rwanda. Methods: Between January and April 2023, a community-based cross-sectional survey was conducted among Rwandan adults aged 18–35 years (N = 699). Dietary intake was assessed with a validated food frequency questionnaire, and dietary patterns were derived using exploratory factor analysis. Lifestyle behaviour patterns were identified using latent class analysis based on seven risk behaviours. Metabolic risk factors were assessed following WHO STEP-wise approach. A Mixed-effect logistic regression, with province included as a random effect, examined associations between dietary/lifestyle patterns and MetS components, adjusting for socio-demographic and economic factors. Results: Three dietary patterns were identified (Modern, Low-variety, and Traditional). Latent class analysis yielded two lifestyle classes: a lower-risk unhealthy lifestyle class (25.75%) and a higher-risk unhealthy lifestyle class (74.25%) characterized by greater probability of smoking, heavy episodic drinking, sedentary behaviour, inadequate sleep, and high salt intake. Individual metabolic risk factors were common (e.g., reduced high-density lipoprotein-cholesterol HDL-C: 25.9%; abdominal obesity: 20.3%), though MetS prevalence was low (5.4%). In multivariable-adjusted analyses, dietary patterns showed no independent associations with any MetS component. In contrast, the high-risk lifestyle pattern was positively associated with elevated fasting blood glucose (Odd Ratio, OR = 2.05, 95% Confidence Interval, CI: 1.14, 3.70) and inversely associated with abdominal obesity (OR = 0.36, 95% CI: 0.20, 0.67). Socio-demographic and economic factors, particularly sex, age, occupation, and urban/rural residence, showed strong and consistent associations with MetS components. Conclusion: Among young adults in Rwanda, lifestyle and socio-demographic and economic factors showed more consistent associations with metabolic risk indicators, whereas dietary patterns did not show independent associations. Future longitudinal investigations incorporating additional lifestyle factors and objective dietary assessment methods to overcome the inherent limitations of self-reported intake are warranted. In parallel, public health policy should prioritise targeted, community-based lifestyle interventions and socioeconomic disparity-reduction strategies to reduce metabolic risk among young adults. Trial registration: The study was registered as a clinical trial on November 27, 2019, at clinicaltrials.gov (reference number NCT04204538). Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1186/s12889-026-28714-1.
SN - 1471-2458
ER -