Loading…

Association Between Weight-Adjusted Waist Index and the Prevalence of Low Back Pain: A Cross-Sectional Observational Study from NHANES

The weight-adjusted waist index (WWI) is a novel obesity index that is calculated as the waist circumference (WC) divided by the square root of body weight (kg). Previous studies have revealed that higher body mass index (BMI) and WC increase the risk of low back pain (LBP). However, no research exp...

Full description

Saved in:
Bibliographic Details
Published in:World neurosurgery 2025-01, p.123660, Article 123660
Main Authors: Que, Zhiqiang, Cai, Huirong, Chen, Dingqiang, Xiao, Keyi, Lan, Weibin, Rui, Gang
Format: Article
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page
container_issue
container_start_page 123660
container_title World neurosurgery
container_volume
creator Que, Zhiqiang
Cai, Huirong
Chen, Dingqiang
Xiao, Keyi
Lan, Weibin
Rui, Gang
description The weight-adjusted waist index (WWI) is a novel obesity index that is calculated as the waist circumference (WC) divided by the square root of body weight (kg). Previous studies have revealed that higher body mass index (BMI) and WC increase the risk of low back pain (LBP). However, no research explores the relationship between WWI and LBP. Data utilized in this cross-sectional study were drawn from the National Health and Nutrition Examination Survey. Three logistic regression models were used to evaluate the association between WWI and LBP; stratified analysis was applied to assess the stability of the results. Receiver-operating characteristic curves were employed to visually assess and compare the predictive effectiveness of WWI, BMI, WC, and weight on LBP. A significant positive correlation was observed between WWI and LBP, model 1 (OR = 1.222, 95% CI [1.164, 1.283], P < 0.0001), model 2 (OR = 1.187, 95% CI [1.118, 1.261], P < 0.0001), and model 3 (OR = 1.129, 95% CI [1.056, 1.207], P < 0.001). Relative to the Q1, Q3 (model 1 (OR = 1.241, 95% CI [1.114, 1.382], P < 0.001), model 2 (OR = 1.192, 95% CI [1.050, 1.353], P = 0.007), model 3 (OR = 1.145, 95% CI [1.002, 1.310], P = 0.047)) and Q4 (model 1 (OR = 1.524, 95% CI [1.341, 1.733], P < 0.0001), model 2 (OR = 1.422, 95% CI [1.233, 1.640], P < 0.0001), model 3 (OR = 1.333, 95% CI [1.149, 1.547], P < 0.001)) all showed a significant positive correlation between them. The AUC for WWI is 0.5447536, the AUC for BMI is 0.5466724, and the AUC for WC and weight is 0.5501341 and 0.5376615, respectively. This cross-sectional study revealed a significant positive association between WWI and LBP, but WWI did not show better predictive efficacy than BMI and WC.
doi_str_mv 10.1016/j.wneu.2025.123660
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_miscellaneous_3153917783</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1878875025000063</els_id><sourcerecordid>3153917783</sourcerecordid><originalsourceid>FETCH-LOGICAL-e1098-8e3f10270221200ec8e9cd99d48fa94b5d426d94706b27b02e733859927a1cf53</originalsourceid><addsrcrecordid>eNo9kc9O3DAQxq2qqCDKC_SAfOwli_8ksY16CSsoSCtAWiqOlmNPwEs2pnayW16A5ybRLp3LzEifRvN9P4R-UDKjhJZnq9m2g2HGCCtmlPGyJF_QEZVCZlKU6uv_uSCH6CSlFRmL01wK_g0dciWkzKk8Qu9VSsF60_vQ4QvotwAdfgT_9NxnlVsNqQeHH41PPb7pHPzDpnO4fwZ8H2FjWugs4NDgRdjiC2Nf8L3x3Tmu8DyGlLIl2OmwafFdnSBuzH5b9oN7w00Ma3x7Xd1eLr-jg8a0CU72_Rj9ubp8mF9ni7vfN_NqkQElarQDvKGECcIYZYSAlaCsU8rlsjEqrwuXs9KpXJCyZqImDATnslCKCUNtU_Bj9HN39zWGvwOkXq99stC2poMwJM1pwRUVQvJRerqXDvUanH6Nfm3im_7MbhT82glgfHjjIepk_RSI83H0rV3wmhI90dIrPdHSEy29o8U_AAxPhig</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3153917783</pqid></control><display><type>article</type><title>Association Between Weight-Adjusted Waist Index and the Prevalence of Low Back Pain: A Cross-Sectional Observational Study from NHANES</title><source>ScienceDirect Freedom Collection</source><creator>Que, Zhiqiang ; Cai, Huirong ; Chen, Dingqiang ; Xiao, Keyi ; Lan, Weibin ; Rui, Gang</creator><creatorcontrib>Que, Zhiqiang ; Cai, Huirong ; Chen, Dingqiang ; Xiao, Keyi ; Lan, Weibin ; Rui, Gang</creatorcontrib><description><![CDATA[The weight-adjusted waist index (WWI) is a novel obesity index that is calculated as the waist circumference (WC) divided by the square root of body weight (kg). Previous studies have revealed that higher body mass index (BMI) and WC increase the risk of low back pain (LBP). However, no research explores the relationship between WWI and LBP. Data utilized in this cross-sectional study were drawn from the National Health and Nutrition Examination Survey. Three logistic regression models were used to evaluate the association between WWI and LBP; stratified analysis was applied to assess the stability of the results. Receiver-operating characteristic curves were employed to visually assess and compare the predictive effectiveness of WWI, BMI, WC, and weight on LBP. A significant positive correlation was observed between WWI and LBP, model 1 (OR = 1.222, 95% CI [1.164, 1.283], P < 0.0001), model 2 (OR = 1.187, 95% CI [1.118, 1.261], P < 0.0001), and model 3 (OR = 1.129, 95% CI [1.056, 1.207], P < 0.001). Relative to the Q1, Q3 (model 1 (OR = 1.241, 95% CI [1.114, 1.382], P < 0.001), model 2 (OR = 1.192, 95% CI [1.050, 1.353], P = 0.007), model 3 (OR = 1.145, 95% CI [1.002, 1.310], P = 0.047)) and Q4 (model 1 (OR = 1.524, 95% CI [1.341, 1.733], P < 0.0001), model 2 (OR = 1.422, 95% CI [1.233, 1.640], P < 0.0001), model 3 (OR = 1.333, 95% CI [1.149, 1.547], P < 0.001)) all showed a significant positive correlation between them. The AUC for WWI is 0.5447536, the AUC for BMI is 0.5466724, and the AUC for WC and weight is 0.5501341 and 0.5376615, respectively. This cross-sectional study revealed a significant positive association between WWI and LBP, but WWI did not show better predictive efficacy than BMI and WC.]]></description><identifier>ISSN: 1878-8750</identifier><identifier>ISSN: 1878-8769</identifier><identifier>EISSN: 1878-8769</identifier><identifier>DOI: 10.1016/j.wneu.2025.123660</identifier><identifier>PMID: 39788418</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Cross-sectional study ; Low back pain ; National Health and Nutrition Examination Survey ; Weight-adjusted waist index</subject><ispartof>World neurosurgery, 2025-01, p.123660, Article 123660</ispartof><rights>2025 The Authors</rights><rights>Copyright © 2025. Published by Elsevier Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0003-4919-1648</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39788418$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Que, Zhiqiang</creatorcontrib><creatorcontrib>Cai, Huirong</creatorcontrib><creatorcontrib>Chen, Dingqiang</creatorcontrib><creatorcontrib>Xiao, Keyi</creatorcontrib><creatorcontrib>Lan, Weibin</creatorcontrib><creatorcontrib>Rui, Gang</creatorcontrib><title>Association Between Weight-Adjusted Waist Index and the Prevalence of Low Back Pain: A Cross-Sectional Observational Study from NHANES</title><title>World neurosurgery</title><addtitle>World Neurosurg</addtitle><description><![CDATA[The weight-adjusted waist index (WWI) is a novel obesity index that is calculated as the waist circumference (WC) divided by the square root of body weight (kg). Previous studies have revealed that higher body mass index (BMI) and WC increase the risk of low back pain (LBP). However, no research explores the relationship between WWI and LBP. Data utilized in this cross-sectional study were drawn from the National Health and Nutrition Examination Survey. Three logistic regression models were used to evaluate the association between WWI and LBP; stratified analysis was applied to assess the stability of the results. Receiver-operating characteristic curves were employed to visually assess and compare the predictive effectiveness of WWI, BMI, WC, and weight on LBP. A significant positive correlation was observed between WWI and LBP, model 1 (OR = 1.222, 95% CI [1.164, 1.283], P < 0.0001), model 2 (OR = 1.187, 95% CI [1.118, 1.261], P < 0.0001), and model 3 (OR = 1.129, 95% CI [1.056, 1.207], P < 0.001). Relative to the Q1, Q3 (model 1 (OR = 1.241, 95% CI [1.114, 1.382], P < 0.001), model 2 (OR = 1.192, 95% CI [1.050, 1.353], P = 0.007), model 3 (OR = 1.145, 95% CI [1.002, 1.310], P = 0.047)) and Q4 (model 1 (OR = 1.524, 95% CI [1.341, 1.733], P < 0.0001), model 2 (OR = 1.422, 95% CI [1.233, 1.640], P < 0.0001), model 3 (OR = 1.333, 95% CI [1.149, 1.547], P < 0.001)) all showed a significant positive correlation between them. The AUC for WWI is 0.5447536, the AUC for BMI is 0.5466724, and the AUC for WC and weight is 0.5501341 and 0.5376615, respectively. This cross-sectional study revealed a significant positive association between WWI and LBP, but WWI did not show better predictive efficacy than BMI and WC.]]></description><subject>Cross-sectional study</subject><subject>Low back pain</subject><subject>National Health and Nutrition Examination Survey</subject><subject>Weight-adjusted waist index</subject><issn>1878-8750</issn><issn>1878-8769</issn><issn>1878-8769</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><recordid>eNo9kc9O3DAQxq2qqCDKC_SAfOwli_8ksY16CSsoSCtAWiqOlmNPwEs2pnayW16A5ybRLp3LzEifRvN9P4R-UDKjhJZnq9m2g2HGCCtmlPGyJF_QEZVCZlKU6uv_uSCH6CSlFRmL01wK_g0dciWkzKk8Qu9VSsF60_vQ4QvotwAdfgT_9NxnlVsNqQeHH41PPb7pHPzDpnO4fwZ8H2FjWugs4NDgRdjiC2Nf8L3x3Tmu8DyGlLIl2OmwafFdnSBuzH5b9oN7w00Ma3x7Xd1eLr-jg8a0CU72_Rj9ubp8mF9ni7vfN_NqkQElarQDvKGECcIYZYSAlaCsU8rlsjEqrwuXs9KpXJCyZqImDATnslCKCUNtU_Bj9HN39zWGvwOkXq99stC2poMwJM1pwRUVQvJRerqXDvUanH6Nfm3im_7MbhT82glgfHjjIepk_RSI83H0rV3wmhI90dIrPdHSEy29o8U_AAxPhig</recordid><startdate>20250107</startdate><enddate>20250107</enddate><creator>Que, Zhiqiang</creator><creator>Cai, Huirong</creator><creator>Chen, Dingqiang</creator><creator>Xiao, Keyi</creator><creator>Lan, Weibin</creator><creator>Rui, Gang</creator><general>Elsevier Inc</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-4919-1648</orcidid></search><sort><creationdate>20250107</creationdate><title>Association Between Weight-Adjusted Waist Index and the Prevalence of Low Back Pain: A Cross-Sectional Observational Study from NHANES</title><author>Que, Zhiqiang ; Cai, Huirong ; Chen, Dingqiang ; Xiao, Keyi ; Lan, Weibin ; Rui, Gang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-e1098-8e3f10270221200ec8e9cd99d48fa94b5d426d94706b27b02e733859927a1cf53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>Cross-sectional study</topic><topic>Low back pain</topic><topic>National Health and Nutrition Examination Survey</topic><topic>Weight-adjusted waist index</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Que, Zhiqiang</creatorcontrib><creatorcontrib>Cai, Huirong</creatorcontrib><creatorcontrib>Chen, Dingqiang</creatorcontrib><creatorcontrib>Xiao, Keyi</creatorcontrib><creatorcontrib>Lan, Weibin</creatorcontrib><creatorcontrib>Rui, Gang</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>World neurosurgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Que, Zhiqiang</au><au>Cai, Huirong</au><au>Chen, Dingqiang</au><au>Xiao, Keyi</au><au>Lan, Weibin</au><au>Rui, Gang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association Between Weight-Adjusted Waist Index and the Prevalence of Low Back Pain: A Cross-Sectional Observational Study from NHANES</atitle><jtitle>World neurosurgery</jtitle><addtitle>World Neurosurg</addtitle><date>2025-01-07</date><risdate>2025</risdate><spage>123660</spage><pages>123660-</pages><artnum>123660</artnum><issn>1878-8750</issn><issn>1878-8769</issn><eissn>1878-8769</eissn><abstract><![CDATA[The weight-adjusted waist index (WWI) is a novel obesity index that is calculated as the waist circumference (WC) divided by the square root of body weight (kg). Previous studies have revealed that higher body mass index (BMI) and WC increase the risk of low back pain (LBP). However, no research explores the relationship between WWI and LBP. Data utilized in this cross-sectional study were drawn from the National Health and Nutrition Examination Survey. Three logistic regression models were used to evaluate the association between WWI and LBP; stratified analysis was applied to assess the stability of the results. Receiver-operating characteristic curves were employed to visually assess and compare the predictive effectiveness of WWI, BMI, WC, and weight on LBP. A significant positive correlation was observed between WWI and LBP, model 1 (OR = 1.222, 95% CI [1.164, 1.283], P < 0.0001), model 2 (OR = 1.187, 95% CI [1.118, 1.261], P < 0.0001), and model 3 (OR = 1.129, 95% CI [1.056, 1.207], P < 0.001). Relative to the Q1, Q3 (model 1 (OR = 1.241, 95% CI [1.114, 1.382], P < 0.001), model 2 (OR = 1.192, 95% CI [1.050, 1.353], P = 0.007), model 3 (OR = 1.145, 95% CI [1.002, 1.310], P = 0.047)) and Q4 (model 1 (OR = 1.524, 95% CI [1.341, 1.733], P < 0.0001), model 2 (OR = 1.422, 95% CI [1.233, 1.640], P < 0.0001), model 3 (OR = 1.333, 95% CI [1.149, 1.547], P < 0.001)) all showed a significant positive correlation between them. The AUC for WWI is 0.5447536, the AUC for BMI is 0.5466724, and the AUC for WC and weight is 0.5501341 and 0.5376615, respectively. This cross-sectional study revealed a significant positive association between WWI and LBP, but WWI did not show better predictive efficacy than BMI and WC.]]></abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>39788418</pmid><doi>10.1016/j.wneu.2025.123660</doi><orcidid>https://orcid.org/0000-0003-4919-1648</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1878-8750
ispartof World neurosurgery, 2025-01, p.123660, Article 123660
issn 1878-8750
1878-8769
1878-8769
language eng
recordid cdi_proquest_miscellaneous_3153917783
source ScienceDirect Freedom Collection
subjects Cross-sectional study
Low back pain
National Health and Nutrition Examination Survey
Weight-adjusted waist index
title Association Between Weight-Adjusted Waist Index and the Prevalence of Low Back Pain: A Cross-Sectional Observational Study from NHANES
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-11T01%3A18%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Association%20Between%20Weight-Adjusted%20Waist%20Index%20and%20the%20Prevalence%20of%20Low%20Back%20Pain:%20A%20Cross-Sectional%20Observational%20Study%20from%20NHANES&rft.jtitle=World%20neurosurgery&rft.au=Que,%20Zhiqiang&rft.date=2025-01-07&rft.spage=123660&rft.pages=123660-&rft.artnum=123660&rft.issn=1878-8750&rft.eissn=1878-8769&rft_id=info:doi/10.1016/j.wneu.2025.123660&rft_dat=%3Cproquest_pubme%3E3153917783%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-e1098-8e3f10270221200ec8e9cd99d48fa94b5d426d94706b27b02e733859927a1cf53%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3153917783&rft_id=info:pmid/39788418&rfr_iscdi=true