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Liu S, Yu J, Wang L, Zhang X, Wang F, Zhu Y. Weight-adjusted waist index as a practical predictor for diabetes, cardiovascular disease, and non-accidental mortality risk. Nutr Metab Cardiovasc Dis 2024; 34:2498-2510. [PMID: 39117486 DOI: 10.1016/j.numecd.2024.06.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 06/10/2024] [Accepted: 06/13/2024] [Indexed: 08/10/2024]
Abstract
BACKGROUND AND AIM Identifying a more suitable marker among various measures of adiposity, demonstrating strong associations and predictive ability for clinical use, remains a topic of debate. Weight-adjusted waist index (WWI) has been proposed as a novel index of adiposity, yet its exploration is limited, especially in Chinese populations. This study seeks to examine the associations between body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHTR), weight-adjusted waist index (WWI), waist circumference divided by body mass to the power of 0.333 (WC/M0.333), visceral adiposity index (VAI), lipid accumulation product (LAP), and the incidence of diabetes, cardiovascular disease, and non-accidental mortality in Chinese populations. Furthermore, our goal is to compare the respective predictive values of these measures for these health outcomes. METHODS AND RESULTS This prospective cohort study included 21,750 subjects with a 9-year follow-up period. Cox proportional hazard models were used to investigate the relationship between eight anthropometric indexes and the incidence of diabetes, cardiovascular disease, and non-accidental mortality. The predictive value of these eight indexes was compared using the area under the curve metric. Significant positive associations were found between WWI and the risk of diabetes. Using the first quartile (Q1) of WWI as the reference group, hazard ratios with 95% confidence intervals for the risk of diabetes were 1.58 (0.98-2.55) for Q2, 2.18 (1.34-3.35) for Q3, and 2.27 (1.41-3.67) for Q4. Significant associations were observed with the highest quartile of WWI for the risk of cardiovascular disease [Q2: HR 1.45 (95% CI 1.06-1.98); Q3: 1.33 (0.97-1.83); Q4: 1.55 (1.13-2.14)] and risk of non-accidental mortality [Q2: 0.94 (0.80-1.11); Q3: 1.24 (1.04-1.48); Q4: 1.44 (1.16-1.79)]. Receiver operating characteristic analysis revealed that WWI exhibited superior discrimination and accuracy in predicting cardiovascular disease and non-accidental mortality compared to other adiposity indexes (BMI, WC, WHR, WHTR, WC/M0.333, VAI, and LAP). CONCLUSION WWI exhibited the most robust and consistent association with the incidence of cardiovascular disease and non-accidental mortality. Given its simplicity and widespread use, WWI emerges as a novel and practical predictor of diabetes, cardiovascular disease, and non-accidental mortality among the eight adiposity indexes investigated in this study.
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Affiliation(s)
- Sitong Liu
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China; Department of Health Hazards Surveillance, Hangzhou Center for Disease Control and Prevention (Hangzhou Health Supervision Institution), Hangzhou, Zhejiang, China.
| | - Jiazhou Yu
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, Hong Kong SAR.
| | - Lu Wang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China; Department of Health Hazards Surveillance, Hangzhou Center for Disease Control and Prevention (Hangzhou Health Supervision Institution), Hangzhou, Zhejiang, China.
| | - Xuhui Zhang
- Department of Health Hazards Surveillance, Hangzhou Center for Disease Control and Prevention (Hangzhou Health Supervision Institution), Hangzhou, Zhejiang, China.
| | - Fengying Wang
- Department of Jinhua Center for Disease Control and Prevention (Jinhua Health Supervision Institution), Jinhua, Zhejiang, China.
| | - Yimin Zhu
- Department of Epidemiology and Biostatistics, and Department of Respiratory Disease, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, China; Cancer Center, Zhejiang University, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, China.
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Wu J, Guo J. Is weight-adjusted waist index more strongly associated with diabetes than body mass index and waist circumference?: Results from the database large community sample study. PLoS One 2024; 19:e0309150. [PMID: 39325793 PMCID: PMC11426486 DOI: 10.1371/journal.pone.0309150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 08/06/2024] [Indexed: 09/28/2024] Open
Abstract
BACKGROUND The uncertainty regarding the correlation between the weight-adjusted waist index (WWI) and diabetes within the National Health and Nutrition Examination Survey (NHANES) necessitates further exploration. As indicators of obesity, the differences in the intensity of association between WWI, body mass index (BMI), and waist circumference (WC) with diabetes are worth exploring. This investigation is undertaken to elucidate the association between WWI and diabetes in the NHANES dataset and to compare the extent to which BMI, WC, and WWI were closely associated with diabetes. Then, choose an obesity index that is more strongly associated with diabetes. METHODS A comprehensive cross-sectional stratified survey of 7,973 participants from the 2017-2020 NHANES was conducted. WWI is an anthropometric measure based on WC and weight. The formula is WWI (cm/√kg) = WC/√weight. The association between WWI and diabetes was investigated using weighted multiple logistic regression, smooth curve fitting, stratified analysis, and interaction testing. RESULTS The participants' average age was 50.84±17.34 years, and 50.68% of them were female. The detection rate of diabetes was 15.11%. This positive association was particularly notable among non-diabetic patients. For each unit increase in BMI and WC as continuous variables, the likelihood of developing diabetes in the fully adjusted model increased by 5% (OR = 1.05; 95%CI, 1.03-1.07) and 3% (OR = 1.03; 95%CI, 1.02-1.04), respectively, but for each one-unit increase in WWI, the likelihood of developing diabetes increased by 111% (OR = 2.11; 95% CI, 1.68-2.65). Tests of interactions revealed that in various subgroups, the association between diabetes and WWI remained steady. CONCLUSIONS We analyzed 2017-2020 NHANES data to explore the link between WWI and diabetes, finding a consistent positive correlation. The correlation between WWI and diabetes was stronger than that between WC and BMI. WWI seems to offer better potential aid in disease prevention and diagnosis.
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Affiliation(s)
- Jiabei Wu
- Shanxi Medical University, Taiyuan, China
| | - Jinli Guo
- The Second Hospital of Shanxi Medical University, Taiyuan, China
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Zheng J, Xi Y, Jiang H. The association between weight-adjusted waist index and sleep disorders in U.S. adults: results from NHANES 2005-2008. Medicine (Baltimore) 2024; 103:e39589. [PMID: 39287297 PMCID: PMC11404978 DOI: 10.1097/md.0000000000039589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/19/2024] Open
Abstract
The detrimental effects of obesity on sleep disorders have garnered a lot of interest. The weight-adjusted waist index (WWI) is a newly developed anthropometric index calculated in terms of weight and waist circumference. The body mass index has been employed to evaluate obesity in the majority of studies that connect obesity to sleep disorders. This study seeks to investigate the correlation between WWI and sleep disorders among adults in the United States. This cross-sectional study was part of the National Health and Nutrition Examination Survey and included adults aged >20 from 2005 to 2008. This study investigated the linear relationship between sleep disorders and WWI using weighted binary logistic regression models. Nonlinear relationships were characterized using smooth curve fitting and threshold effects analyses. After that, based on variables like gender, age, marital status, diabetes, hypertension, and smoking, subgroup analyses were performed. Our study included 9869 participants who were at least 20 years old. Higher WWI was linked to greater odds of sleep disorders prevalence, according to weighted binary logistic regression (odds ratio = 1.15; 95% confidence interval, 1.10, 1.20). In subgroup analyses based on age, marital status, diabetes, hypertension, and smoking, this connection remained robust. However, there were notable differences in this connection depending on gender. Furthermore, a nonlinear correlation with inflection points between WWI and sleep disorders was shown using smooth curve fitting. The nonlinear association between WWI and sleep disorders has an inflection point of 8.1 cm/√kg, as indicated by the threshold effect analyses. A higher WWI exposure may elevate the odds of sleep disorder prevalence, underscoring the importance of considering WWI in the prevention and management of sleep disorders.
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Affiliation(s)
- Jiayun Zheng
- The First Clinical Medical School, Guangzhou Medical University, Guangzhou, China
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Sun Q, Yang Y, Liu J, Ye F, Hui Q, Chen Y, Liu D, Zhang Q. Association of the weight-adjusted waist index with hypertension in the context of predictive, preventive, and personalized medicine. EPMA J 2024; 15:491-500. [PMID: 39239106 PMCID: PMC11371960 DOI: 10.1007/s13167-024-00375-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Accepted: 07/30/2024] [Indexed: 09/07/2024]
Abstract
Objective Hypertension (HTN) is a prevalent global health concern. From the standpoint of preventive and personalized medicine (PPPM/3PM), early detection of HTN offers a crucial opportunity for targeted prevention and personalized treatment. This study aimed to evaluate the association between the weight-adjusted waist index (WWI) and HTN risk. Methods A case-control study using data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018 was conducted. Logistic regression models assessed the association between WWI and HTN. Subgroup analyses explored differences in age, sex, ethnicity, and diabetes status. Restricted cubic spline (RCS) analyses examined potential nonlinear relationships. Results A total of 32,116 participants, with an average age of 49.28 ± 17.56 years, were included in the study. A significant positive association between WWI and the risk of HTN was identified (odds ratio [OR], 2.49; 95% CI, 2.39-2.59; P < 0.001). When WWI was categorized into quartiles (Q1-Q4), the highest quartile (Q4) exhibited a stronger association compared to Q1 (OR, 2.94; 95% CI, 2.65-3.27; P < 0.001). Subgroup analyses indicated that WWI was a risk factor for HTN across different populations, although variations in the magnitude of effect were observed. Furthermore, the findings from the RCS elucidated a nonlinear positive correlation between WWI and HTN. Conclusion WWI is independently associated with HTN risk, highlighting its potential as a risk assessment tool in clinical practice. Incorporating WWI into early detection strategies enhances targeted prevention and personalized management of HTN. Supplementary Information The online version contains supplementary material available at 10.1007/s13167-024-00375-3.
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Affiliation(s)
- Qi Sun
- Department of Pediatrics, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, China-Japan Friendship Hospital, Beijing, China
- Precision and Smart Imaging Laboratory, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Yang Yang
- Department of Pediatrics, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Jing Liu
- Department of Pediatrics, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, China-Japan Friendship Hospital, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Fang Ye
- Department of Pediatrics, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Qin Hui
- Department of Pediatrics, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Yuanmei Chen
- Department of Pediatrics, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Die Liu
- Department of Pediatrics, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Qi Zhang
- Department of Pediatrics, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, China-Japan Friendship Hospital, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
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Tao Z, Zuo P, Ma G. The association between weight-adjusted waist circumference index and cardiovascular disease and mortality in patients with diabetes. Sci Rep 2024; 14:18973. [PMID: 39152145 PMCID: PMC11329698 DOI: 10.1038/s41598-024-69712-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Accepted: 08/07/2024] [Indexed: 08/19/2024] Open
Abstract
Cardiovascular disease (CVD) is a significant health concern, particularly among patients with diabetes. The weight-adjusted waist circumference index (WWI), a novel metric that accounts for central obesity, has shown potential in predicting obesity-related health risks. This study aimed to evaluate the association of WWI with CVD and mortality in patients with diabetes. Utilizing data from the National Health and Nutrition Examination Survey from 1999 to 2020, WWI was calculated by dividing waist circumference (WC) by the square root of body weight. Multivariate logistic regression, multivariate Cox regression and restricted cubic spline curves were used to assess the association between WWI and the prevalence of CVD and mortality in patients with diabetes, subgroup and sensitivity analyses were carried out to delve into the stability of the findings. The predictive performance of WWI was evaluated using the area under the receiver operating characteristic curve (ROC). This study included 8,005 individuals with diabetes. With the increase in WWI values, the risk of developing CVD and the likelihood of mortality progressively rise. The fully adjusted continuous model indicated a 28% higher chance of developing CVD and a 25% higher risk of all-cause mortality for each one-unit increase in WWI. When using the lowest quartile of WWI as the reference category, the highest quartile was linked to an increased risk of CVD (OR 1.66; 95% CI 1.10-2.50, p = 0.015) and all-cause mortality (HR 1.53, 95% CI 1.27-1.83, p < 0.001) among patients with diabetes. Subgroup and sensitivity analyses confirmed that these associations were consistent and stable in most different demographics. The ROC analysis indicated that WWI had a higher predictive capacity for CVD and all-cause mortality than WC, waist to hip ratio, and weight to height ratio. The WWI was significantly associated with the prevalence of CVD and all-cause mortality among patients with diabetes in the United States and may serve as a useful tool for identifying individuals at risk.
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Affiliation(s)
- Zaixiao Tao
- Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
- School of Medicine, Southeast University, Nanjing, China
| | - Pengfei Zuo
- Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
- School of Medicine, Southeast University, Nanjing, China.
| | - Genshan Ma
- Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
- School of Medicine, Southeast University, Nanjing, China.
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Tao Z, Zuo P, Ma G. Association of weight-adjusted waist index with cardiovascular disease and mortality among metabolic syndrome population. Sci Rep 2024; 14:18684. [PMID: 39134613 PMCID: PMC11319818 DOI: 10.1038/s41598-024-69486-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Accepted: 08/05/2024] [Indexed: 08/15/2024] Open
Abstract
Metabolic syndrome (MetS) is prevalent and significantly impacts global public health, with obesity being a major risk factor for cardiovascular diseases (CVD) and mortality. Traditional metrics like body mass index (BMI) have limitations in assessing obesity-related risks. The weight-adjusted waist circumference index (WWI) has emerged as a novel obesity metric, this study aimed to evaluate the association of WWI with CVD and mortality in MetS patients. This study used data from 12,641 participants with MetS, derived from the National Health and Nutrition Examination Survey (NHANES) conducted from 1999 to 2020. The WWI was calculated, and its association with CVD and mortality was assessed using multivariate logistic and Cox regression models. The study controlled for potential confounders and performed subgroup and sensitivity analyses to validate the robustness of the findings. The predictive performance of WWI was evaluated using the area under the receiver operating characteristic curve (ROC). Kaplan-Meier (KM) curves further were used to evaluate the associations between WWI and mortality of the MetS population. As WWI values escalated, there was a proportional rise in the risk of CVD and mortality in MetS. The fully adjusted continuous model revealed a 32.0% elevated likelihood of CVD development, a 69.5% increased probability of heart failure (HF), a 51.1% heightened risk for CVD mortality, and a 22.8% augmented risk for all-cause mortality with each one-unit increment in WWI. Comparing the highest to the lowest quartile of WWI, the top quartile exhibited a significantly increased risk of CVD (odds ratio [OR] = 1.883; 95% confidence interval [CI]: 1.276-2.633, p-value = 0.001), HF (OR = 2.909; 95% CI: 1.490-5.677, p-value = 0.002), CVD mortality (hazard ratio [HR] = 2.088; 95% CI: 1.279-3.409, p-value = 0.003), and all-cause mortality (HR = 1.394; 95% CI: 1.070-1.816, p-value = 0.014) among individuals with MetS. Sensitivity and subgroup analyses substantiated the consistency and stability of these associations across various demographic groups. The ROC analysis demonstrated that WWI outperforms BMI in predicting adverse outcomes in MetS. The KM curves validated that higher WWI values was correlated with diminished survival rates in MetS population. The WWI served as a significant indicator for assessing the risk of CVD and mortality in the MetS population. This study recommended the regular assessment of WWI in MetS individuals for evaluating their risk of CVD and mortality, potentially enhancing preventive and treatment strategies for this patient population.
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Affiliation(s)
- Zaixiao Tao
- Department of Cardiology, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China
- School of Medicine, Southeast University, Nanjing, China
| | - Pengfei Zuo
- Department of Cardiology, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China.
- School of Medicine, Southeast University, Nanjing, China.
| | - Genshan Ma
- Department of Cardiology, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China.
- School of Medicine, Southeast University, Nanjing, China.
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Li X, Zhao D, Wang H. Association between weight-adjusted waist index and risk of diabetes mellitus type 2 in United States adults and the predictive value of obesity indicators. BMC Public Health 2024; 24:2025. [PMID: 39075353 PMCID: PMC11285432 DOI: 10.1186/s12889-024-19576-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 07/24/2024] [Indexed: 07/31/2024] Open
Abstract
BACKGROUND The weight-adjusted waist index (WWI) is a quantitative anthropometric index that can be applied to evaluate obesity. This study examined the relationship between adult United States (US) residents' risk of diabetes mellitus type 2 (T2DM) and WWI. METHODS The NHANES (National Health and Nutrition Examination Survey) 2001-2018 provided the data for this investigation. This study used multifactorial logistic regression analysis, smoothed curve fitting, subgroup analysis, and interaction tests to assess the association between WWI and T2DM. Additionally, threshold effects were calculated using a two-stage linear regression model. The receiver operating characteristic(ROC) curves evaluated the diagnostic ability of the WWI and commonly used obesity indicators. RESULTS 20,477 participants were enrolled in the analysis, and patients with greater levels of WWI had a higher prevalence of T2DM. WWI and T2DM have a non-linear relationship, with a positive association found on the left side of the breakpoint (WWI = 12.35) (OR = 1.82, 95%CI:1.64-2.02), whereas, on the right side, no such relationship was found (OR = 0.9, 95%CI:0.61-1.34). For every unit rise in WWI, the probability of having T2DM increased by 67% after controlling for all other variables (OR:1.67,95%CI:1.53-1.83). Based on subgroup analyses, individuals under 40 had a higher correlation between WWI and T2DM (P < 0.001).ROC analyses showed that WWI had the best discrimination and accuracy in predicting T2DM compared to other obesity indicators (WC, BMI, and Weight). CONCLUSION Higher WWI values had a higher prevalence of T2DM in US individuals, especially in adults under 40. WWI has the strongest ability to predict T2DM. Therefore, the importance of WWI in the early identification of T2DM in US adults should be emphasized.
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Affiliation(s)
- XinMeng Li
- Department of Rehabilitation Medicine, Binzhou Medical University Hospital, Binzhou, Shandong Province, 256600, China
| | - Dan Zhao
- Department of Anesthesiology, Binzhou Medical University Hospital, Binzhou, Shandong Province, 256600, China
| | - Hongkun Wang
- Department of Rehabilitation Medicine, Binzhou Medical University Hospital, Binzhou, Shandong Province, 256600, China.
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Zhao J, Cai X, Hu J, Song S, Zhu Q, Shen D, Yang W, Luo Q, Yao X, Zhang D, Hong J, Li N. J-Shaped Relationship Between Weight-Adjusted-Waist Index and Cardiovascular Disease Risk in Hypertensive Patients with Obstructive Sleep Apnea: A Cohort Study. Diabetes Metab Syndr Obes 2024; 17:2671-2681. [PMID: 38978818 PMCID: PMC11228610 DOI: 10.2147/dmso.s469376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 06/22/2024] [Indexed: 07/10/2024] Open
Abstract
Background A newly introduced obesity-related index, the weight-adjusted-waist index (WWI), emerges as a promising predictor of cardiovascular disease (CVD). Given the known synergistic effects of hypertension and obstructive sleep apnea (OSA) on cardiovascular risk, we aimed to explore the relationship between the WWI and CVD risk specifically within this high-risk cohort. Methods A total of 2265 participants with hypertension and OSA were included in the study. Multivariate Cox regression analysis was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for CVD events. The restricted cubic spline (RCS) was used to further evaluate the nonlinear dose-response relationship. Results During a median follow-up period of 6.8 years, 324 participants experienced a CVD event. Multivariate Cox regression analysis revealed that compared to the reference group, the HRs for the second, third, and fourth groups were 1.12 (95% CI, 0.79-1.59), 1.35 (95% CI, 0.96-1.89), and 1.58 (95% CI, 1.13-2.22), respectively. Moreover, RCS analysis illustrated a clear J-shaped relationship between the WWI and CVD risk, particularly notable when WWI exceeded 11.5 cm/√kg, signifying a significant increase in CVD risk. Conclusion There was a J-shaped relationship between WWI and CVD in hypertensive patients with OSA, especially when the WWI was greater than 11.5 cm/√kg, the risk of CVD was significantly increased.
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Affiliation(s)
- Jianwen Zhao
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Xintian Cai
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Junli Hu
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Shuaiwei Song
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Qing Zhu
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Di Shen
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Wenbo Yang
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Qin Luo
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Xiaoguang Yao
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Delian Zhang
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Jing Hong
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Nanfang Li
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
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Xu L, Liu Y, Zhao C, Wang J, Zhou H. Association between weight-adjusted waist index and periodontitis: A population-based study. PLoS One 2024; 19:e0305010. [PMID: 38843124 PMCID: PMC11156281 DOI: 10.1371/journal.pone.0305010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 05/21/2024] [Indexed: 06/09/2024] Open
Abstract
OBJECTIVE This study aims to examine the association between the Weight-adjusted Waist Circumference Index (WWI) and the prevalence of periodontitis, providing novel evidence on the link between central obesity and periodontal health. METHODS A cross-sectional study was conducted with 10,289 participants enrolled from NHANES 2009 to 2014. WWI was calculated by dividing waist circumference by the square root of weight. We employed a multivariate logistic regression model and smoothed curve fitting method to evaluate the relationship between WWI and periodontitis. We also compared different subgroups and analyzed the interaction effects. RESULTS A significant positive association between WWI and periodontitis was observed in 10,289 participants aged ≥30 (OR: 1.20, 95% CI: 1.12-1.28). Upon categorizing WWI into quartiles, the top quartile group exhibited a 27% increased prevalence of periodontitis compared to the bottom quartile (OR: 1.27, 95% CI: 1.10-1.46; P for trend = 0.001). Among individuals aged 30 to 60, the strength of this positive correlation is more pronounced than in those aged 60 and above. CONCLUSIONS WWI demonstrates a positive correlation with periodontitis with a particularly pronounced impact on moderate periodontitis, suggesting its potential to improve periodontitis prevention in a broad population.
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Affiliation(s)
- Lihan Xu
- College of Stomatology, Hangzhou Normal University, Hangzhou, Zhejiang Province, China
| | - Yuntao Liu
- College of Stomatology, Hangzhou Normal University, Hangzhou, Zhejiang Province, China
| | - Chenchen Zhao
- College of Stomatology, Hangzhou Normal University, Hangzhou, Zhejiang Province, China
| | - Jiaying Wang
- College of Stomatology, Hangzhou Normal University, Hangzhou, Zhejiang Province, China
| | - Haojing Zhou
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China
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10
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Li J, Sun J, Zhang Y, Zhang B, Zhou L. Association between weight-adjusted-waist index and cognitive decline in US elderly participants. Front Nutr 2024; 11:1390282. [PMID: 38903624 PMCID: PMC11187255 DOI: 10.3389/fnut.2024.1390282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 05/16/2024] [Indexed: 06/22/2024] Open
Abstract
Objective To investigate the association between the weight-adjusted-waist index (WWI) and cognitive decline in elderly Americans from 2011 to 2014. Methods A cross-sectional study was conducted on 2,762 elderly participants from the National Health and Nutrition Examination (NHANES) between 2011 and 2014. WWI was calculated by dividing waist circumference (cm) by the square root of body weight (kg). Participants assessed their cognitive functions using tests such as the DSST, AFT, and CERAD W-L. In this research, multiple logistic regression, HIA, limited cubic spline (RCS), and threshold effect analysis methods were utilized to explore the relationship between cognitive decline and WWI. Results The study involved 2,762 participants aged 60 years and older, comprising 1,353 males (49%) and 1,409 females (51%), with a median age of 69.3 years (standard deviation = 6.7). The analysis revealed that the risk of cognitive decline was positively associated with the WWI. Fully adjusted models indicated significant correlations with the CERAD W-L [odds ratio (OR) = 1.24, 95% confidence interval (CI) = 1.06-1.46, p < 0.008], AFT (OR = 1.27, 95% CI = 1.08-1.49, p = 0.003), and DSST (OR = 1.56, 95% CI = 1.29-1.9, p < 0.001). Subgroup analysis demonstrated a consistent relationship across different population settings except for gender (average of interactions, p > 0.05). A J-shaped relationship between WWI and low DSST scores was observed using multivariate restricted cubic spline (RCS) regression (P for non-linearity <0.05), with the curve steepening when WWI ≥ 12.21 cm/√kg. Additionally, the study found that WWI was more strongly associated with an increased risk of cognitive decline than other obesity indicators such as Body Mass Index (BMI), waist circumference (WC), and A Body Shape Index (ABSI). Conclusion Our data have shown a significant positive association between the WWI and a higher risk of cognitive decline in older Americans, with a J-shaped non-linear relationship between WWI and DSST. In addition, our findings indicate that WWI was associated with greater cognitive decline than other markers of obesity.
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Affiliation(s)
| | | | | | | | - Liya Zhou
- Changchun University of Chinese Medicine, Changchun, China
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11
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Liu C, Guo X, Wang B, Meng T, Li C, Zhou Y, Fu J. Association between Cardiometabolic Index and Cognitive Function: A Cross-Sectional Study in a Diabetic-Based Population. Dement Geriatr Cogn Disord 2024; 53:237-247. [PMID: 38843782 DOI: 10.1159/000539482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 05/20/2024] [Indexed: 07/12/2024] Open
Abstract
INTRODUCTION Diabetes is a significant risk factor for cognitive impairment. Therefore, early identification of cognitive impairment in diabetic patients is particularly important. The aim of this study was to assess the relationship between Cardiometabolic index (CMI) and cognitive function in a diabetic population. METHODS A cross-sectional study was conducted by collecting information from the National Health and Nutrition Examination Survey (NHANES) 2011-2014. Multiple linear regression models were used to investigate the correlation between CMI and low cognitive function in a diabetic population. Threshold effects analysis and fitted smoothing curves were used to describe the nonlinear links. Interaction tests and subgroup analyses were also performed. RESULTS A total of 1,050 people participated in this study, including 561 men and 489 women. In the fully corrected model, CMI was positively associated with low cognitive performance as assessed by CERAD Word List Learning Test (CERAD W-L), Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST) (OR = 1.37 [1.14, 1.72], p = 7.4 × 10-3), (OR = 1.21 [1.04, 1.51], p = 1.26 × 10-2), and (OR = 1.27 [1.08, 1.63], p = 2.53 × 10-2). Our study found that diabetic patients with higher CMI were at greater risk of developing low cognitive function. The effect of the subgroups on the positive association of CMI with cognitive impairment was not significant. A non-linear association between low cognitive performance and CMI was determined by CERAD W-L, AFT, and DSST (log-likelihood ratio <5 × 10-2). In addition, our also study found that CMI was a better predictor of cognitive impairment in diabetes than weight-adjusted waist index (WWI). CONCLUSION Increased CMI is associated with an increased risk of cognitive impairment in people with diabetes. CMI can be used as a new anthropometric measure for predicting cognitive impairment in diabetes, with stronger predictive power than WWI.
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Affiliation(s)
- Changxing Liu
- Heilongjiang University of Chinese Medicine, Harbin, China,
| | - Xinyi Guo
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Boyu Wang
- Heilongjiang University of Chinese Medicine, Harbin, China
| | - Tianwei Meng
- Heilongjiang University of Chinese Medicine, Harbin, China
| | - Chengjia Li
- Heilongjiang University of Chinese Medicine, Harbin, China
| | - Yabin Zhou
- The First Hospital Affiliated to Heilongjiang University of Chinese Medicine, Harbin, China
| | - Jiamei Fu
- The First Hospital Affiliated to Heilongjiang University of Chinese Medicine, Harbin, China
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Fei S, Liu M, Shanshan H, Xie R, Danni W, Ningying Z. Association between weight-adjusted-waist index and depression: a cross-sectional study. Endocr Connect 2024; 13:e230450. [PMID: 38657652 PMCID: PMC11227061 DOI: 10.1530/ec-23-0450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 04/23/2024] [Indexed: 04/26/2024]
Abstract
Background Depression has become a multifaceted global health issue, with complex connections to obesity. Weight-adjusted-waist index (WWI) can effectively evaluate central obesity, but the relationship between WWI and depression has not been well studied. The study aims to investigate the potential correlation between these two health parameters. Methods According to the data from National Health and Nutrition Examination Survey, this cross-sectional study used multiple regression analysis, subgroup analysis, and smooth curve fitting to explore the relationship between WWI and depression. The assessment ability of WWI was evaluated and compared to other obesity indicators using the receiver operating characteristic (ROC) curve. Results This study analyzed 38,154 participants. Higher WWI is associated with higher depression scores (β = 0.41; 95% CI, 0.36-0.47). After adjusting for various confounding factors, the positive correlation between WWI and depression remained significant (P for trend < 0.0001). Nonlinear positive correlation was detected with a breakpoint of 11.14. ROC analysis shows that compared to other obesity indicators (ROCWWI = 0.593; ROCBMI = 0.584; and ROCWC = 0.581), the correlation between WWI and depression has better discrimination and accuracy. DII mediated 4.93%, SII mediated 5.08%, and sedentary mediated 0.35% of the total association between WWI and depression. Conclusion WWI levels were related to an increased likelihood of depression and showed a stronger relationship than BMI and waist circumference. Our findings indicated that WWI may serve as a simple anthropometric index to evaluate depression.
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Affiliation(s)
- Sun Fei
- Wuxi Medical College of Jiangnan University, Wuxi, China
| | - Min Liu
- Wuxi Maternity and Child Health Care Hospital, Wuxi, China
| | - Hu Shanshan
- Wuxi Maternity and Child Health Care Hospital, Wuxi, China
| | - Ruijie Xie
- Department of Microsurgery, University of South China, Hengyang, China
| | - Wu Danni
- Wuxi Medical College of Jiangnan University, Wuxi, China
| | - Zhou Ningying
- Wuxi Medical College of Jiangnan University, Wuxi, China
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Wu X. Association between weight-adjusted-waist index and periodontitis risk: A cross-sectional study. PLoS One 2024; 19:e0302137. [PMID: 38753859 PMCID: PMC11098519 DOI: 10.1371/journal.pone.0302137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 03/28/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND There may be an association between obesity and periodontitis, yet no studies have investigated the correlation between the new obesity indicator, the weight-adjusted-waist Index (WWI), and periodontitis. OBJECTIVE This study aims to investigate the association between the novel obesity index, weight-adjusted-waist index, and periodontitis. SUBJECTS AND METHODS WWI was utilized to assess obesity, through measuring waist circumference (WC) and body weight. We analyzed cross-sectional NHANES data from 2009 to 2014 (1) using multivariate logistic regression to explore WWI's association with moderate/severe periodontitis; (2) conducting subgroup analyses and interaction tests; and (3) fitting smoothed curves to the age-stratified logistic regression model. RESULTS The study involved 11,256 individuals, with 48.55% having moderate/severe periodontitis. Upon adjusting for all relevant variables, a significant correlation between WWI and moderate/severe periodontitis was observed (OR = 1.08, 95% CI: 1.01-1.17). Compared to the lowest quartile of WWI, there was a significant increase in the likelihood of moderate/severe periodontitis in Quartile 2 (OR = 1.21, 95% CI: 1.06-1.39) and Quartile 3 (OR = 1.23, 95% CI: 1.07-1.42). Subgroup analyses for gender, age, education, smoking, and diabetes highlighted a positive association between WWI and moderate/severe periodontitis in all subgroups, except for the diabetic population and individuals aged 65 years and older. CONCLUSION The analysis revealed a positive correlation between WWI, a novel obesity index, and moderate/severe periodontitis prevalence through diverse modeling approaches.
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Affiliation(s)
- Xinyu Wu
- School of Stomatology, Jinan University, Guangzhou, China
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Zheng D, Zhao S, Luo D, Lu F, Ruan Z, Dong X, Chen W. Association between the weight-adjusted waist index and the odds of type 2 diabetes mellitus in United States adults: a cross-sectional study. Front Endocrinol (Lausanne) 2024; 14:1325454. [PMID: 38292766 PMCID: PMC10824908 DOI: 10.3389/fendo.2023.1325454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 12/19/2023] [Indexed: 02/01/2024] Open
Abstract
Objective To examine the association between the weight-adjusted waist index (WWI) and the odds of type 2 diabetes mellitus(T2DM)among U.S. adults. Methods Data from the National Health and Nutrition Examination Survey (NHANES) spanning six years (2007-2018) were utilized, encompassing 31001 eligible participants. Weighted multivariate logistic regression models and smoothed fit curves were employed to assess the association between WWI and the odds of T2DM, as well as dose-response relationships in the overall population and the odds of T2DM in various subgroups. Results In the fully adjusted continuous model, each one-unit increase in WWI was associated with a 1.14-fold increase in the odds of T2DM within the entire study population (2.14 [1.98,2.31], P < 0.0001). In the fully adjusted categorical model, when using the lowest tertile of WWI (T1) as the reference group, the second tertile (T2) and the third tertile (T3) were associated with a 0.88-fold (1.88 [1.64,2.17], P < 0.0001) and a 2.63-fold (3.63 [3.11,4.23], P < 0.0001) increase in the odds of T2DM. These findings indicated a positive correlation between WWI values and the odds of T2DM, aligning with the results of the smoothed-fitted curves. In the analysis of subgroups, in addition to maintaining consistency with the overall population results, we found interactions between age and hypertension subgroups. Conclusion In conclusion, WWI was found to be positively associated with the odds of T2DM in U.S. adults.
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Affiliation(s)
- Dongdong Zheng
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Suzhen Zhao
- Dongying People’s Hospital (Dongying Hospital of Shandong Provincial Hospital Group), Dongying, Shandong, China
| | - Dan Luo
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Feng Lu
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Zhishen Ruan
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Xiaokang Dong
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Wenjing Chen
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
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Alkhatib B, Agraib LM, Al-Shami I, Al-Dalaeen A. The Novelty of using Obesity Indices as Blood Pressure Predictors. Curr Hypertens Rev 2024; 20:36-43. [PMID: 38037836 DOI: 10.2174/0115734021277171231114103758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 09/30/2023] [Accepted: 10/19/2023] [Indexed: 12/02/2023]
Abstract
AIMS To study the association between selected obesity indices, systolic blood pressure (SBP), and diastolic blood pressure (DBP). METHODS A cross-sectional study on 491 Jordanian adults (19-65 years old). The sociodemographic data, anthropometrics, and blood pressure were measured and recorded. Obesity indices (Conicity Index (CI), Abdominal volume index (AVI), Body Roundness Index (BRI), and Weight-adjusted-waist index (WWI)) were calculated using standard validated formulas. RESULTS Based on age, the SBP had a significant moderate correlation with BRI and AVI in all age groups. In the age group 20 to 34 years, SBP had a significantly moderate correlation with CI, and DBP had a significantly moderate correlation with BRI and AVI. In the age group 35 to 44 years, DBP had a significantly moderate correlation with CI, BRI, WWI, and AVI. For the age group 45 to 65 years, the SBP had a significantly moderate correlation with all the obesity indexes, opposite to DBP. Obesity indices explain 23.6% to 24.1% of the changeability in SBP, and one unit increase in them resulted in an increase in SBP range from 0.61 ± 0.14 to 19.88 ± 4.45. For DBP, obesity indices explained 15.9% to 16.3% of the variability in DBP, and raising them by one unit led to an increase in the DBP range from 0.27 ± 0.11 to 10.08 ± 4.83. CONCLUSION All the studied obesity indices impacted SBP and DBP with the highest reported effect for AVI and BRI and a lower impact for WWI. The impact of obesity indices on DBP was affected by age group.
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Affiliation(s)
- Buthaina Alkhatib
- Department of Clinical Nutrition and Dietetics, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan
| | - Lana M Agraib
- Department of Food Science and Nutrition, Faculty of Agriculture, Jerash University, Jerash, Jordan
| | - Islam Al-Shami
- Department of Clinical Nutrition and Dietetics, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan
| | - Anfal Al-Dalaeen
- Department of Clinical Nutrition and Dietetics, Faculty of Allied Medical Sciences, Applied Science Private University, Amman 11931, Jordan
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Wang J, Yang QY, Chai DJ, Su Y, Jin QZ, Wang JH. The relationship between obesity associated weight-adjusted waist index and the prevalence of hypertension in US adults aged ≥60 years: a brief report. Front Public Health 2023; 11:1210669. [PMID: 37869197 PMCID: PMC10587597 DOI: 10.3389/fpubh.2023.1210669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 09/18/2023] [Indexed: 10/24/2023] Open
Abstract
Objectives The main objective was to examine the relationship between weight-adjusted waist index (WWI) and the prevalence of hypertension among individuals aged ≥60 years who participated in the NHANES between 2011 and 2018 years. Methods The data for this study were obtained from the National Health and Nutrition Examination Survey (NHANES) 2011-2018. In this population-based study, we focused on participants who were over 60 years old. Data were collected from the aforementioned survey, and the variable of interest was WWI, which was calculated as waist (cm) divided by the square root of body weight (kg). Multivariable logistic regression model was applied to calculate adjusted ORs with 95% CIs in order to explore any possible correlation between WWI and the prevalence of hypertension. Subgroup analysis were used to verify the stability of the relationship between WWI and the prevalence of hypertension. The interaction tests were also conducted in this research. Results Results revealed that adults aged ≥60 years who were in the highest WWI quartile had significantly higher chances of developing hypertension when compared to those in the lowest quartile, after adjusting for covariates and potential confounders (p < 0.001). Conclusion These findings suggest that there is a strong correlation between elevated levels of WWI and the risk of developing hypertension among older adults. As such, WWI could serve as a unique and valuable biomarker for identifying hypertension risk at an earlier stage in the older adults population.
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Affiliation(s)
| | | | | | | | | | - Jin-Hua Wang
- Department of Cardiology, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, QuZhou, Zhejiang Province, China
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