ArticleBMC geriatrics2022
Conicity-index predicts all-cause mortality in Chinese older people: a 10-year community follow-up.
Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 44 citations in OpenAlex.
- Sex-Specific Associations of Famine Exposure in Early Life with Body Shape Indices Across Two Generations in China.Nutrients · 2026Article
- Associations between five anthropometric indices and fecal incontinence: A cross-sectional study based on the 2005 to 2010 NHANES data.Medicine · 2026Article
- Large cohort studies assessing sex-specific associations between anthropometric indices and liver cancer death.JHEP reports : innovation in hepatology · 2026Article
- Six anthropometric indices and all-cause mortality in ageing populations: an observational cohort study in six longitudinal studies.BMC public health · 2026Observational
- Association between conicity index and osteoporosis/femoral bone mineral density in USA adults : a cross-sectional study based on evidence from the National Health and Nutrition Examination Survey (2005 to 2020).Bone & joint research · 2026Article
- Correlation between albumin-bilirubin score and comorbidity of cardiovascular disease and chronic kidney disease: insights from NHANES 2011-2018.European journal of medical research · 2026Article
- Association of obesity and lipid indexes with rapid kidney function decline and the progression to chronic kidney disease: a study from a large longitudinal cohort among middle-aged and older adults in China.Frontiers in medicine · 2026Article
- Cardiovascular risk assessed by the conicity index in Brazilian adults: findings from the national health survey.Frontiers in nutrition · 2026Article
- Comparison of the association and discriminatory ability of CVAI, LAP, CI, and AVI for type 2 diabetes in Chinese adults aged ≥ 50 years: a sex-specific analysis.Frontiers in endocrinology · 2026Article
- Evaluating anthropometric indices of obesity for early osteoarthritis detection: focus on body fat percentage and relative fat mass.Clinical rheumatology · 2025Article
- Article
- Associations between anthropometric indices and biological age acceleration in American adults: insights from NHANES 2009-2018 data.Scientific reports · 2025Article
- Association between conicity index and gallstone disease: A cross-sectional study from NHANES 2017-2020.Preventive medicine reports · 2025Article
- The association between adiposity indices and the odds of breast cancer based on findings from a case control study.Scientific reports · 2025Article
- Development and validation of a nomogram for arthritis: a cross-sectional study based on the NHANES.Scientific reports · 2025Article
- The combined impact of BMI and ABSI on all-cause mortality among American adults with diabetes.Diabetology & metabolic syndrome · 2025Article
- Associations between the conicity index and kidney stone disease prevalence and mortality in American adults.Scientific reports · 2025Article
- Change in adiposity indices after 1 year of peritoneal dialysis: a single-center cohort study.Clinical kidney journal · 2025Article
- Non-linear associations and threshold effects of BRI, CI, and WHtR with grip strength in U. S. adults aged ≥20 years: a cross-sectional study.Frontiers in nutrition · 2025Article
- Novel adiposity indices and their associations with all-cause and cardiovascular mortality in individuals with cardiovascular-kidney-metabolic syndrome stages 0-3: findings from a nationwide prospective cohort study.Frontiers in endocrinology · 2025Article
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
Abstract
backgroundAbdominal obesity (AO) has been regarded as the most dangerous type of obesity. The Conicity-index (C-index) had a high ability to discriminate underlying AO. The purpose of this study was to determine the ability of C-index to predict all-cause mortality among non-cancer Chinese older people.
methodsThe participants were residents of the Wanshou Road community in Beijing, China. Receiver operating curve (ROC) curves were used to determine the sensitivity and specificity of the best cut-off values for different anthropometric measures for predicting all-cause mortality. The area under the curve (AUC) of the ROC curves were calculated to compare the relative ability of various anthropometric measures to correctly identify older people in the community where all-cause mortality occurs. Included subjects were grouped according to C-index tertiles. The association between C-index and all-cause mortality was verified using Kaplan-Meier survival analysis and different Cox regression models.
resultsDuring a mean follow-up period of 9.87 years, 1821 subjects completed follow-up. The average age was 71.21 years, of which 59.4% were female. The ROC curve results showed that the AUC of the C-index in predicting all-cause mortality was 0.633. Kaplan-Meier survival curves showed a clear dose-response relationship between C-index and all-cause mortality. With the increase of C-index, the survival rate of the study population showed a significant downward trend (P < 0.05). Adjusted for age, gender, hip circumference, systolic blood pressure, diastolic blood pressure, fasting blood glucose (FBG), 2-h postprandial blood glucose (2hPG), glycosylated hemoglobin, high-density lipids protein (LDL), triglyceride, serum creatinine, serum uric acid, urine albumin-creatinine ratio (UACR), Mini-Mental State Examination (MMSE), smoking history, and drinking history, COX regression analysis showed that in the model adjusted for all covariates, the risk of all-cause mortality in tertile 3 was 1.505 times that in tertile 1, and the difference was statistically significant.
conclusionsThe C-index is an independent risk factor for all-cause mortality in the non-cancer Chinese older people.
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