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Impact of BMI at Early Age on Non-Communicable Diseases (NCDs) at Older Age: A Comparative Study Between UAE and France
Date Issued
2024
Author(s)
Ahmad, Shaher
Abstract
This research study investigates the relationship between early-life Body Mass Index (BMI) and
the prevalence of Non-Communicable Diseases (NCDs) in later life, with a comparative analysis
between the United Arab Emirates (UAE) and France. The research utilizes data from the World
Health Organization (WHO), to assess BMI trends and NCD outcomes across different age groups
and regions. Regression analyses are conducted to examine the impact of BMI on various NCDs,
including diabetes, cardiovascular diseases (CVD), respiratory conditions, and accident injuries.
The results reveal significant associations between BMI and NCDs( 𝑝 − 𝑣𝑎𝑙𝑢𝑒 = 0.039),
indicating a statistically significant positive relationship between BMI and NCDs. Similarly, for
diabetes case( 𝑝 − 𝑣𝑎𝑙𝑢𝑒 = 0.037), indicating a significant association between higher BMI and
increased diabetes prevalence. For CVD (𝑝 − 𝑣𝑎𝑙𝑢𝑒 = 0.014), indicating a highly significant
positive relationship between BMI and CVD prevalence. In contrast, the analysis of BMI's impact
on respiratory conditions( 𝑝 − 𝑣𝑎𝑙𝑢𝑒 𝑜𝑓 0.073), suggests a significant association between BMI
and respiratory health outcomes. Additionally, for accident injuries( 𝑝 − 𝑣𝑙𝑢𝑒 = 0.026),
indicating a significant positive relationship between higher BMI and increased risk of accident
injuries.
the prevalence of Non-Communicable Diseases (NCDs) in later life, with a comparative analysis
between the United Arab Emirates (UAE) and France. The research utilizes data from the World
Health Organization (WHO), to assess BMI trends and NCD outcomes across different age groups
and regions. Regression analyses are conducted to examine the impact of BMI on various NCDs,
including diabetes, cardiovascular diseases (CVD), respiratory conditions, and accident injuries.
The results reveal significant associations between BMI and NCDs( 𝑝 − 𝑣𝑎𝑙𝑢𝑒 = 0.039),
indicating a statistically significant positive relationship between BMI and NCDs. Similarly, for
diabetes case( 𝑝 − 𝑣𝑎𝑙𝑢𝑒 = 0.037), indicating a significant association between higher BMI and
increased diabetes prevalence. For CVD (𝑝 − 𝑣𝑎𝑙𝑢𝑒 = 0.014), indicating a highly significant
positive relationship between BMI and CVD prevalence. In contrast, the analysis of BMI's impact
on respiratory conditions( 𝑝 − 𝑣𝑎𝑙𝑢𝑒 𝑜𝑓 0.073), suggests a significant association between BMI
and respiratory health outcomes. Additionally, for accident injuries( 𝑝 − 𝑣𝑙𝑢𝑒 = 0.026),
indicating a significant positive relationship between higher BMI and increased risk of accident
injuries.
