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TOPLINE:
In people with type 2 diabetes (T2D), higher levels of arm and trunk fat are associated with an increased risk for cardiovascular disease (CVD) and mortality, while higher levels of leg fat are associated with a reduced risk for these conditions.
METHODOLOGY:
- People with T2D have a twofold to fourfold higher risk for CVD and mortality, and evidence shows obesity management helps delay complications and premature death, but an elevated body mass index (BMI) may be insufficient to measure obesity.
- In the “obesity paradox,” people with elevated BMI may have a lower CVD risk than people of normal weight.
- Researchers prospectively investigated how regional body fat accumulation was associated with CVD risk in 21,472 people with T2D (mean age, 58.9 years; 60.7% men; BMI about 29-33) from the UK Biobank (2006-2010), followed up for a median of 7.7 years.
- The regional body fat distribution in arms, trunk, and legs was assessed using bioelectrical impedance analysis.
- The primary outcomes were the incidence of CVD, all-cause mortality, and CVD mortality.
TAKEAWAY:
- However, participants in the highest quartile of leg fat percentage had a lower risk for CVD than those in the lowest quartile (HR, 0.72; 95% CI, 0.58-0.90).
- A nonlinear relationship was observed between higher leg fat percentage and lower CVD risk and between higher trunk fat percentage and higher CVD risk, whereas a linear relationship was noted between higher arm fat percentage and higher CVD risk.
- The patterns of association were similar for both all-cause mortality and CVD mortality. Overall patterns were similar for men and women.
IN PRACTICE:
“Our findings add to the understanding of body fat distribution in patients with T2D, which highlights the importance of considering both the amount and the location of body fat when assessing CVD and mortality risk among patients with T2D,” wrote the authors.
SOURCE:
The study led by Zixin Qiu, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, was published online in The Journal of Clinical Endocrinology & Metabolism.
LIMITATIONS:
As body fat was measured only once at the beginning of the study, its changing association over time could not be assessed. Moreover, the findings were primarily based on predominantly White UK adults, potentially restricting their generalizability to other population groups. Furthermore, diabetes was diagnosed using self-reported medical history, medication, and hemoglobin A1c levels, implying that some cases may have gone undetected at baseline.
DISCLOSURES:
This study was funded by grants from the National Natural Science Foundation of China, Hubei Province Science Fund for Distinguished Young Scholars, and Fundamental Research Funds for the Central Universities. The authors declared no conflicts of interest.
A version of this article appeared on Medscape.com.
TOPLINE:
In people with type 2 diabetes (T2D), higher levels of arm and trunk fat are associated with an increased risk for cardiovascular disease (CVD) and mortality, while higher levels of leg fat are associated with a reduced risk for these conditions.
METHODOLOGY:
- People with T2D have a twofold to fourfold higher risk for CVD and mortality, and evidence shows obesity management helps delay complications and premature death, but an elevated body mass index (BMI) may be insufficient to measure obesity.
- In the “obesity paradox,” people with elevated BMI may have a lower CVD risk than people of normal weight.
- Researchers prospectively investigated how regional body fat accumulation was associated with CVD risk in 21,472 people with T2D (mean age, 58.9 years; 60.7% men; BMI about 29-33) from the UK Biobank (2006-2010), followed up for a median of 7.7 years.
- The regional body fat distribution in arms, trunk, and legs was assessed using bioelectrical impedance analysis.
- The primary outcomes were the incidence of CVD, all-cause mortality, and CVD mortality.
TAKEAWAY:
- However, participants in the highest quartile of leg fat percentage had a lower risk for CVD than those in the lowest quartile (HR, 0.72; 95% CI, 0.58-0.90).
- A nonlinear relationship was observed between higher leg fat percentage and lower CVD risk and between higher trunk fat percentage and higher CVD risk, whereas a linear relationship was noted between higher arm fat percentage and higher CVD risk.
- The patterns of association were similar for both all-cause mortality and CVD mortality. Overall patterns were similar for men and women.
IN PRACTICE:
“Our findings add to the understanding of body fat distribution in patients with T2D, which highlights the importance of considering both the amount and the location of body fat when assessing CVD and mortality risk among patients with T2D,” wrote the authors.
SOURCE:
The study led by Zixin Qiu, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, was published online in The Journal of Clinical Endocrinology & Metabolism.
LIMITATIONS:
As body fat was measured only once at the beginning of the study, its changing association over time could not be assessed. Moreover, the findings were primarily based on predominantly White UK adults, potentially restricting their generalizability to other population groups. Furthermore, diabetes was diagnosed using self-reported medical history, medication, and hemoglobin A1c levels, implying that some cases may have gone undetected at baseline.
DISCLOSURES:
This study was funded by grants from the National Natural Science Foundation of China, Hubei Province Science Fund for Distinguished Young Scholars, and Fundamental Research Funds for the Central Universities. The authors declared no conflicts of interest.
A version of this article appeared on Medscape.com.
TOPLINE:
In people with type 2 diabetes (T2D), higher levels of arm and trunk fat are associated with an increased risk for cardiovascular disease (CVD) and mortality, while higher levels of leg fat are associated with a reduced risk for these conditions.
METHODOLOGY:
- People with T2D have a twofold to fourfold higher risk for CVD and mortality, and evidence shows obesity management helps delay complications and premature death, but an elevated body mass index (BMI) may be insufficient to measure obesity.
- In the “obesity paradox,” people with elevated BMI may have a lower CVD risk than people of normal weight.
- Researchers prospectively investigated how regional body fat accumulation was associated with CVD risk in 21,472 people with T2D (mean age, 58.9 years; 60.7% men; BMI about 29-33) from the UK Biobank (2006-2010), followed up for a median of 7.7 years.
- The regional body fat distribution in arms, trunk, and legs was assessed using bioelectrical impedance analysis.
- The primary outcomes were the incidence of CVD, all-cause mortality, and CVD mortality.
TAKEAWAY:
- However, participants in the highest quartile of leg fat percentage had a lower risk for CVD than those in the lowest quartile (HR, 0.72; 95% CI, 0.58-0.90).
- A nonlinear relationship was observed between higher leg fat percentage and lower CVD risk and between higher trunk fat percentage and higher CVD risk, whereas a linear relationship was noted between higher arm fat percentage and higher CVD risk.
- The patterns of association were similar for both all-cause mortality and CVD mortality. Overall patterns were similar for men and women.
IN PRACTICE:
“Our findings add to the understanding of body fat distribution in patients with T2D, which highlights the importance of considering both the amount and the location of body fat when assessing CVD and mortality risk among patients with T2D,” wrote the authors.
SOURCE:
The study led by Zixin Qiu, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, was published online in The Journal of Clinical Endocrinology & Metabolism.
LIMITATIONS:
As body fat was measured only once at the beginning of the study, its changing association over time could not be assessed. Moreover, the findings were primarily based on predominantly White UK adults, potentially restricting their generalizability to other population groups. Furthermore, diabetes was diagnosed using self-reported medical history, medication, and hemoglobin A1c levels, implying that some cases may have gone undetected at baseline.
DISCLOSURES:
This study was funded by grants from the National Natural Science Foundation of China, Hubei Province Science Fund for Distinguished Young Scholars, and Fundamental Research Funds for the Central Universities. The authors declared no conflicts of interest.
A version of this article appeared on Medscape.com.