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. 2024 Dec 6:15:1419715.
doi: 10.3389/fendo.2024.1419715. eCollection 2024.

Body mass index and waist-to-height ratio effect on mortality in non-alcoholic fatty liver: revisiting the obesity paradox

Hao Jiang #  1   2 , Mingkai Li #  1   2 , Hongsheng Yu #  1   2 , Yinan Huang  1   2 , Bilan Yang  3 , Bin Wu #  1   2 , Yidong Yang #  1   2
Affiliations

Body mass index and waist-to-height ratio effect on mortality in non-alcoholic fatty liver: revisiting the obesity paradox

Hao Jiang et al. Front Endocrinol (Lausanne). .

Abstract

Purpose: Emerging research indicates that individuals with non-alcoholic fatty liver disease (NAFLD) who carry excess weight have similar or even higher survival rates than their normal-weight counterparts. This puzzling "obesity paradox" may be attributed to underlying biases. To explore this phenomenon, we examined data extracted from the third National Health and Nutrition Examination Survey (NHANES) III, which spanned from 1988-1994.

Methods: We specifically targeted participants diagnosed with NAFLD through ultrasound due to fatty liver presence and employed multivariate Cox regression to assess mortality risk associated with body mass index (BMI) and the waist-to-height ratio (WHtR).

Results: Over a median follow-up period of 20.3 [19.9-20.7] years, 1832 participants passed away. The study revealed an intriguing "obesity-survival paradox", in which individuals classified as overweight (HR 0.926, 95% CI 0.925-0.927) or obese (HR 0.982, 95% CI 0.981-0.984) presented reduced mortality risks compared with those categorized as normal weight. However, this paradox vanished upon adjustments for smoking and exclusion of the initial 5-year follow-up period (HR 1.046, 95% CI 1.044-1.047 for overweight; HR 1.122, 95% CI 1.120-1.124 for obesity class I). Notably, the paradox was less pronounced with the WHtR, which was significantly different only in quartile 2 (HR 0.907, 95% CI 0.906-0.909) than in quartile 1, and was resolved after appropriate adjustments. In particular, when BMI and WHtR were considered together, higher levels of adiposity indicated a greater risk of mortality with WHtR, whereas BMI did not demonstrate the same trend (p <0.05).

Conclusion: The "obesity paradox" in NAFLD patients can be explained by smoking and reverse causation. WHtR was a better predictor of mortality than BMI.

Keywords: anthropometrics; body mass index; mortality; overweight; waist-to-height ratio.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flowchart of the study design.
Figure 2
Figure 2
Different combinations of BMI and waist-to-height ratio. BMI, body mass index; Q, quartile of waist-to-height ratio.
Figure 3
Figure 3
Association of body mass index with all-cause mortality. (A) Adjusted for age, sex and ethnicity. (B) Adjusted for age, sex, ethnicity, and smoking status and excluding the first 5 years of follow-up. (C) Adjusted for age, sex, ethnicity, smoking status, known chronic disease at baseline (hypertension, diabetes, heart failure, heart attack, stroke, asthma, chronic bronchitis, skin cancer, other cancers) and excluding the first 5 years of follow-up. The solid line represents the hazard ratio, and the dotted line represents the 95% CI. CI, confidence interval; HR, hazard ratio.
Figure 4
Figure 4
Association of the waist-to-height ratio with all-cause mortality. (A) Adjusted for age, sex and ethnicity. (B) Adjusted for age, sex, ethnicity, and smoking status and excluding the first 5 years of follow-up. (C) Adjusted for age, sex, ethnicity, smoking status, known chronic disease at baseline (hypertension, diabetes, heart failure, heart attack, stroke, asthma, chronic bronchitis, skin cancer, other cancers) and excluding the first 5 years of follow-up. The solid line represents the hazard ratio, and the dotted line represents the 95% CI. CI, confidence interval; HR, hazard ratio.
Figure 5
Figure 5
The combined effect of body mass index and the waist-to-height ratio on mortality. Adjusted for age, sex, ethnicity, and smoking status and excluding the first 5 years of follow-up.
See this image and copyright information in PMC

References

    1. Blüher M. Obesity: global epidemiology and pathogenesis. Nat Rev Endocrinol. (2019) 15:288–98. doi: 10.1038/s41574-019-0176-8 - DOI - PubMed
    1. Teng ML, Ng CH, Huang DQ, Chan KE, Tan DJ, Lim WH, et al. . Global incidence and prevalence of nonalcoholic fatty liver disease. Clin Mol Hepatol. (2023) 29:S32–s42. doi: 10.3350/cmh.2022.0365 - DOI - PMC - PubMed
    1. Chooi YC, Ding C, Magkos F. The epidemiology of obesity. Metabolism: Clin experimental. (2019) 92:6–10. doi: 10.1016/j.metabol.2018.09.005 - DOI - PubMed
    1. Hassapidou M, Vlassopoulos A, Kalliostra M, Govers E, Mulrooney H, Ells L, et al. . European association for the study of obesity position statement on medical nutrition therapy for the management of overweight and obesity in adults developed in collaboration with the European federation of the associations of dietitians. Obes facts. (2023) 16:11–28. doi: 10.1159/000528083 - DOI - PMC - PubMed
    1. Bhaskaran K, Dos-Santos-Silva I, Leon DA, Douglas IJ, Smeeth L. Association of BMI with overall and cause-specific mortality: a population-based cohort study of 3·6 million adults in the UK. Lancet Diabetes endocrinol. (2018) 6:944–53. doi: 10.1016/S2213-8587(18)30288-2 - DOI - PMC - PubMed

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