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Longitudinal changes in processed foods intake and their daily caloric contribution among Ghanaian populations living in Ghana and Europe: Findings from the prospective RODAM Cohort study

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Background: Dietary changes towards an increased consumption and caloric contribution of processed and ultra-processed foods are major causes of obesity and non-communicable diseases worldwide. However, data on the intake of processed foods among Ghanaians living in Ghana and their migrant counterparts living in Europe, which could help assess the impact of urbanization and migration on diet and health outcomes, are limited. Therefore, the present study assessed changes in the intake of processed foods and their corresponding energy contribution among different Ghanaian populations. Methods: Dietary data were collected on Ghanaians from the RODAM-Pros (Research on Obesity and Diabetes among African Migrants - prospective) cohort study, which recruited Ghanaians living in rural and urban Ghana and also Ghanaian migrants living in Amsterdam between 2011-2015 and 2019-2021. Dietary intake data were analyzed by regrouping foods based on the extent and purpose of processing according to the NOVA classification. The paired sample t-tests were conducted to determine the differences in mean daily intake (grams) of foods and energy between baseline and follow-up. Energy values of the various foods were retrieved from West African food composition data. Results: Compared with the baseline data, a significant increase in the consumption of ultra-processed foods was found among migrant Ghanaians living in Amsterdam (72.7% increase, Mean Diff: 154.97g/day, 95%CI: 115.39 -194.54, p<0.001) with no significant changes among their rural and urban counterparts. The change in percentage of total energy from ultra-processed foods was 9.6% to 9.0% (p= 0.136), 15.9% to 13.9% (p<0.001) and 13.4% to 13.0% (p= 0.539), respectively, among rural, urban Ghanaians and Ghanaian migrants in Amsterdam. Processed food consumption on the other hand increased across all study sites by 53.4% (Mean Diff: 151.12g/day, 95%CI: 129.56 -172.68, p<0.001) in rural Ghana, 33.1% (Mean Diff: 100.62g/day, 95%CI: 79.08-122.16, p<0.001) in urban Ghana and by 220.0% (Mean Diff: 187.66g/day, 95%CI: 174.72 -200.59, p<0.001) among migrants living in Amsterdam, the Netherlands. Similarly, the percentage contribution from processed foods to total energy increased significantly from baseline data to endpoint among all population groups, thus, 20.8% to 39.5% (p<0.001) among rural dwellers, 23.6 % to 33.5% (p<0.001) among urban dwellers and 7.2 % to 12.9% (p<0.001) among migrant Ghanaians in Amsterdam . Conclusion: Dietary intake has shifted towards higher intake of ultra-processed and processed foods with caloric contribution from processed foods having increased for all Ghanaian population groups. The importance of the observed changes in the consumption of processed and ultra-processed food for the risk of cardio-metabolic diseases among Ghanaian populations remains to be evaluated
Title: Longitudinal changes in processed foods intake and their daily caloric contribution among Ghanaian populations living in Ghana and Europe: Findings from the prospective RODAM Cohort study
Description:
Background: Dietary changes towards an increased consumption and caloric contribution of processed and ultra-processed foods are major causes of obesity and non-communicable diseases worldwide.
However, data on the intake of processed foods among Ghanaians living in Ghana and their migrant counterparts living in Europe, which could help assess the impact of urbanization and migration on diet and health outcomes, are limited.
Therefore, the present study assessed changes in the intake of processed foods and their corresponding energy contribution among different Ghanaian populations.
Methods: Dietary data were collected on Ghanaians from the RODAM-Pros (Research on Obesity and Diabetes among African Migrants - prospective) cohort study, which recruited Ghanaians living in rural and urban Ghana and also Ghanaian migrants living in Amsterdam between 2011-2015 and 2019-2021.
Dietary intake data were analyzed by regrouping foods based on the extent and purpose of processing according to the NOVA classification.
The paired sample t-tests were conducted to determine the differences in mean daily intake (grams) of foods and energy between baseline and follow-up.
Energy values of the various foods were retrieved from West African food composition data.
Results: Compared with the baseline data, a significant increase in the consumption of ultra-processed foods was found among migrant Ghanaians living in Amsterdam (72.
7% increase, Mean Diff: 154.
97g/day, 95%CI: 115.
39 -194.
54, p<0.
001) with no significant changes among their rural and urban counterparts.
The change in percentage of total energy from ultra-processed foods was 9.
6% to 9.
0% (p= 0.
136), 15.
9% to 13.
9% (p<0.
001) and 13.
4% to 13.
0% (p= 0.
539), respectively, among rural, urban Ghanaians and Ghanaian migrants in Amsterdam.
Processed food consumption on the other hand increased across all study sites by 53.
4% (Mean Diff: 151.
12g/day, 95%CI: 129.
56 -172.
68, p<0.
001) in rural Ghana, 33.
1% (Mean Diff: 100.
62g/day, 95%CI: 79.
08-122.
16, p<0.
001) in urban Ghana and by 220.
0% (Mean Diff: 187.
66g/day, 95%CI: 174.
72 -200.
59, p<0.
001) among migrants living in Amsterdam, the Netherlands.
Similarly, the percentage contribution from processed foods to total energy increased significantly from baseline data to endpoint among all population groups, thus, 20.
8% to 39.
5% (p<0.
001) among rural dwellers, 23.
6 % to 33.
5% (p<0.
001) among urban dwellers and 7.
2 % to 12.
9% (p<0.
001) among migrant Ghanaians in Amsterdam .
Conclusion: Dietary intake has shifted towards higher intake of ultra-processed and processed foods with caloric contribution from processed foods having increased for all Ghanaian population groups.
The importance of the observed changes in the consumption of processed and ultra-processed food for the risk of cardio-metabolic diseases among Ghanaian populations remains to be evaluated.

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