Comparison of waist-height ratio and other obesity indices in the prediction of diabetic peripheral neuropathy

Lawal, Yakubu; Mshelia-Reng, Rifkatu; Omonua, Special O.; Odumodu, Kenechukwu; Shuaibu, Ramatu; Itanyi, Ukamaka Dorothy; Abubakar, Amina I.; Kolade-Yunusa, Hadijat Oluseyi; Songden, Zumnan D.; Ehusani, Caleb O.; Adediran, Olufemi; Anumah, Felicia

doi:10.3389/fnut.2022.949315

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…However, Waist Circumference (WC) may underestimate the amount of abdominal fat in short individuals and overestimate it in tall individuals, leading to potential misinterpretation 28 . In addition, Waist-Hip Ratio (WHtR) is also relevant to diabetic complications such as diabetic retinopathy, diabetic nephropathy, diabetic peripheral neuropathy, and cardiovascular risk [29][30][31] . Consequently, BMI, WC, and WHtR, among other anthropometric obesity markers, have been developed to aid in the early identi cation and prediction of type 2 diabetes.…”

Section: Discussionmentioning

confidence: 99%

Predicting Value of Waist-to-height Ratio on Diabetes Incidence: A Population-Based Longitudinal Study

Ding,

Keyu,

Jiaqi

et al. 2023

Preprint

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Aims To evaluate the association between waist to height ratio (WHtR) and incident type 2 diabetes （T2DM）and compared its predictive power with that of other anthropometric indices in East Asian population. Methods 15464 people took part in this research. Participants were further divided into twelve subgroups according to age, WHtR, and sex. Multivariable. Cox regression analysis assessed the relationship between WHtR and incident T2DM. Restricted cubic splines were used to determine the shape of the association. The predictive power of the WHtR was examined and directly compared with other indices, using the area under the receiver operating characteristic curve (AUC). Results After a median follow-up of 5.4 years, 2.4% (373/15,464) participants developed diabetes. The incidence of diabetes increased with ascending WHtR (P< 0.001).Cox logistic regression analysis displayed that after adjusting for confounding factors, WHtR was signiﬁcantly associated with the incidence of T2DM. In the restricted cubic spline models, WHtR exhibited U-shaped relationships with T2DM in the middle-aged and elderly men groups, but J-shaped associations with T2DM in both the women and young men groups. Compared with BMI and WC, WHtR had no significant difference in predicting the incidene of T2DM(P> 0.05). Based on the highest Youden index, the optimal WHtR threshold was 0.49 in young men, 0.50 in middle and old men, 0.47 in young women, and 0.51 in middle and old women. Conclusions WHtR, an easy-to-understand and monitorable indicator, has comparable predictive power to WC and BMI in predicting the incidence of T2DM. It is recommended that Asian individuals should aim for a waist circumference that is half their height

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Section: Discussionmentioning

confidence: 99%

Predicting Value of Waist-to-height Ratio on Diabetes Incidence: A Population-Based Longitudinal Study

Ding,

Keyu,

Jiaqi

et al. 2023

Preprint

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“…In the general population, the individual components of the metabolic syndrome have previously been associated with peripheral neuropathy [ 19 , 20 ]. Particularly, an association of central obesity with peripheral neuropathy was evident in people living with severe obesity and type 2 diabetes mellitus [ 21 , 22 , 23 ]. The role of central obesity in the occurrence of peripheral neuropathy in non-diabetic people living with HIV is not yet clear.…”

Section: Discussionmentioning

confidence: 99%

Peripheral Neuropathy in Virologically Suppressed People Living with HIV: Evidence from the PIVOT Trial

Schuldt,

Bern,

Hart

et al. 2023

Viruses

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The aim of this study is to identify the factors associated with peripheral neuropathy and to explore neurofilament light chain (NfL) as a biomarker for peripheral neuropathy (PN) in effectively virologically suppressed adults living with HIV. All protease inhibitor monotherapy versus ongoing triple therapy in the long-term management of HIV infection (PIVOT) trial participants with data on PN at baseline were included in the study. NfL plasma levels (pNfL) were measured in a sub-set of participants. Multivariable logistic regression was used to examine the associations of PN with potential risk factors (including age, sex, nadir CD4 cell count, history of dideoxynucleoside (d-drugs) exposure, and blood glucose levels) and NfL levels. Of the 585 participants included, 131 (22.4%) reported PN during the study period (median of 44 months). The participants were predominantly male (76.6%), White (68.2%), and virologically suppressed for a median period of 37 months (range of 20–63) before recruitment. The age at baseline was 44.3 years (standard deviation (SD) of 9.2). PN was independently associated with age (adjusted odds ratio (aOR) = 1.35, 95% CI of 1.20–1.52; additional 5 years), history of d-drugs (aOR 1.88, 95% CI of 1.12–3.16), height (aOR 1.19, 95% CI of 1.05–1.35; additional 5 cm), nadir CD4 cell count (aOR 1.10 CI of 1.00–1.20; 50 cells fewer), and metabolic syndrome (aOR 2.31, 95% CI of 1.27 4.20), but not pNfL. The excess risk for PN associated with d-drug use remains after the exposure has stopped for years, suggesting non-reversible toxicity. In people with HIV, metabolic syndrome is independently associated with PN. There was no additional value for pNfL as a screening test for peripheral neuropathy in effectively virologically suppressed adults living with HIV.

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“…Currently widely recognized risk factors for hypertension are metabolically related risk factors such as uneven fat distribution and overnutrition, in addition to age, physical inactivity, stress, genetic factors, unhealthy diet and environment (such as noise, environmental pollution and occupational exposure) (9)(10)(11). There are several anthropometric indicators that can effectively reflect the nutritional status of the body, among which waist-to-height ratio (WHtR) seems to be superior to waist circumference (WC), waist-to-hip ratio (WHR) and body mass index (BMI) in predicting some metabolism-related diseases, such as diabetes, diabetic peripheral neuropathy, and CVD (12)(13)(14)(15). In addition, several studies have confirmed the correlation between WHtR and the prevalence and incidence of hypertension (16)(17)(18)(19).…”

Section: Introductionmentioning

confidence: 99%

There was a similar U-shaped nonlinear association between waist-to-height ratio and the risk of new-onset hypertension: findings from the CHNS

Wang,

Shi,

Yan

et al. 2023

Front. Nutr.

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BackgroundThe association between waist-to-height ratio (WHtR) with hypertension has not been adequately explained, so in this study we sought to clarify the predictive role of WHtR on the incidence of hypertension as well as the potential nonlinear associations in the general population.MethodsIn this large prospective cohort study, a total of 4,458 individuals from the China Health and Nutrition Survey (CHNS) were included in the analysis. Multivariate Cox regression analyses, subgroup analyses, receiver operator characteristic (ROC) and restricted cubic spline (RCS) analyses were used to examine the association of WHtR with the risk of new-onset hypertension.ResultsHypertension occurred in 32.8% of participants during the maximum six-year follow-up period. Compared with the group with lower WHtR, the group with higher WHtR had a higher incidence of hypertension (p < 0.001). Multivariate Cox regression analysis showed that the risk of hypertension was 1.45 times higher in the high WHtR group than in the low WHtR group, and that the risk of hypertension increased by 30.4% for every 0.1 unit increase in WHtR (p < 0.001). Subgroup analyses also validated the stratified associations between WHtR and the risk of new-onset hypertension in most subgroups (p < 0.05). ROC analyses also revealed that WHtR was superior to body mass index in predicting new-onset hypertension (AUC: 0.626 vs. 0.607, p = 0.009). Further RCS analysis detected a nonlinear association between WHtR and risk of new-onset hypertension (P for nonlinearity <0.001).ConclusionWHtR was nonlinearly associated with the risk of new-onset hypertension in the general population.

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Comparison of waist-height ratio and other obesity indices in the prediction of diabetic peripheral neuropathy

Cited by 3 publications

References 15 publications

Predicting Value of Waist-to-height Ratio on Diabetes Incidence: A Population-Based Longitudinal Study

Predicting Value of Waist-to-height Ratio on Diabetes Incidence: A Population-Based Longitudinal Study

Peripheral Neuropathy in Virologically Suppressed People Living with HIV: Evidence from the PIVOT Trial

There was a similar U-shaped nonlinear association between waist-to-height ratio and the risk of new-onset hypertension: findings from the CHNS

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