Matches in SemOpenAlex for { <https://semopenalex.org/work/W3150443322> ?p ?o ?g. }
- W3150443322 endingPage "1598" @default.
- W3150443322 startingPage "1575" @default.
- W3150443322 abstract "Indian subcontinent exhibits considerable degree of ethnic heterogeneity in cardiovascular disease (CVD) risks. Given the importance of ethnicity, the present multi-ethnic study was conducted to find out the differences in body composition patterning and its influence on CVD risk variables.Owing to considerable ethnic heterogeneity among Asian Indians the study was performed to determine the association of variability between body composition and CVD risk factors at the micro-level among different tribes by sex, province, and generation.Nine tribes from three different states (provinces) were considered. Anthropometric measurements, body composition, adiposity, blood pressure, and fasting blood glucose was measured using standard technique. Body composition was measured using BIA method by means of body fat monitor. Mean differences of the body composition measures were analysed by ANOVA. Stepwise multiple regressions were done with CVD risk variables as dependent and body composition profiles as independent variables to find out the significant predictors. Those were then loaded for principal component factor analyses (PCFA).Tribal subjects of both sexes and from both younger and older generations in Gujarat had significantly higher percentage body fat, subcutaneous fat-whole body, and subcutaneous fat-trunk as compared to tribal subjects of Odisha, and West Bengal, as well as significantly lower skeletal mass-whole body and skeletal mass-trunk. PCFA showed two components: (i) percentage body fat with muscle mass; and (ii) visceral fat with resting metabolism. These two components cumulatively explained 80-90% of the total variance associated with CVD risk variables, across the nine tribes.Tribal subjects of Gujarat had higher CVD risks with significantly higher fat mass and lower muscle mass followed by the tribal subjects of Odisha, and West Bengal respectively. The younger generation are equally at risk as their older counterparts. The CVD risks are developing at a much faster rate resulting in a serious public health threat, even in traditional societies. Body composition measures could be considered as a better non-invasive technique for early intervention and proper risk management among the Asian Indians in general and tribal populations in particular." @default.
- W3150443322 created "2021-04-13" @default.
- W3150443322 creator A5020005394 @default.
- W3150443322 creator A5062825431 @default.
- W3150443322 creator A5069501870 @default.
- W3150443322 date "2021-04-05" @default.
- W3150443322 modified "2023-09-27" @default.
- W3150443322 title "Ethnic heterogeneity in body composition patterning and CVD risk factors: a multi-ethnic study of Asian Indian Tribes" @default.
- W3150443322 cites W1592327102 @default.
- W3150443322 cites W1989690818 @default.
- W3150443322 cites W1989786582 @default.
- W3150443322 cites W1998075925 @default.
- W3150443322 cites W1999745316 @default.
- W3150443322 cites W2002654539 @default.
- W3150443322 cites W2006237182 @default.
- W3150443322 cites W2006268551 @default.
- W3150443322 cites W2011645287 @default.
- W3150443322 cites W2021426549 @default.
- W3150443322 cites W2024342088 @default.
- W3150443322 cites W2025351604 @default.
- W3150443322 cites W2025782661 @default.
- W3150443322 cites W2035318291 @default.
- W3150443322 cites W2043047610 @default.
- W3150443322 cites W2051246500 @default.
- W3150443322 cites W2072861147 @default.
- W3150443322 cites W2092536744 @default.
- W3150443322 cites W2097880694 @default.
- W3150443322 cites W2099542599 @default.
- W3150443322 cites W2102757122 @default.
- W3150443322 cites W2103714496 @default.
- W3150443322 cites W2107334498 @default.
- W3150443322 cites W2108156076 @default.
- W3150443322 cites W2108301397 @default.
- W3150443322 cites W2109525362 @default.
- W3150443322 cites W2110952210 @default.
- W3150443322 cites W2117645897 @default.
- W3150443322 cites W2129451867 @default.
- W3150443322 cites W2133406706 @default.
- W3150443322 cites W2138883403 @default.
- W3150443322 cites W2145131361 @default.
- W3150443322 cites W2146158338 @default.
- W3150443322 cites W2152616761 @default.
- W3150443322 cites W2258639182 @default.
- W3150443322 cites W2279172680 @default.
- W3150443322 cites W2468805767 @default.
- W3150443322 cites W2768582957 @default.
- W3150443322 cites W2804105986 @default.
- W3150443322 cites W2904651488 @default.
- W3150443322 cites W3025414737 @default.
- W3150443322 cites W4243775069 @default.
- W3150443322 cites W4246930767 @default.
- W3150443322 doi "https://doi.org/10.1080/13557858.2021.1910626" @default.
- W3150443322 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33820458" @default.
- W3150443322 hasPublicationYear "2021" @default.
- W3150443322 type Work @default.
- W3150443322 sameAs 3150443322 @default.
- W3150443322 citedByCount "1" @default.
- W3150443322 countsByYear W31504433222022 @default.
- W3150443322 crossrefType "journal-article" @default.
- W3150443322 hasAuthorship W3150443322A5020005394 @default.
- W3150443322 hasAuthorship W3150443322A5062825431 @default.
- W3150443322 hasAuthorship W3150443322A5069501870 @default.
- W3150443322 hasConcept C126322002 @default.
- W3150443322 hasConcept C137403100 @default.
- W3150443322 hasConcept C144024400 @default.
- W3150443322 hasConcept C149923435 @default.
- W3150443322 hasConcept C170964787 @default.
- W3150443322 hasConcept C18903297 @default.
- W3150443322 hasConcept C19165224 @default.
- W3150443322 hasConcept C2780221984 @default.
- W3150443322 hasConcept C2781197403 @default.
- W3150443322 hasConcept C42407357 @default.
- W3150443322 hasConcept C511355011 @default.
- W3150443322 hasConcept C61427482 @default.
- W3150443322 hasConcept C71924100 @default.
- W3150443322 hasConcept C77350462 @default.
- W3150443322 hasConcept C86803240 @default.
- W3150443322 hasConceptScore W3150443322C126322002 @default.
- W3150443322 hasConceptScore W3150443322C137403100 @default.
- W3150443322 hasConceptScore W3150443322C144024400 @default.
- W3150443322 hasConceptScore W3150443322C149923435 @default.
- W3150443322 hasConceptScore W3150443322C170964787 @default.
- W3150443322 hasConceptScore W3150443322C18903297 @default.
- W3150443322 hasConceptScore W3150443322C19165224 @default.
- W3150443322 hasConceptScore W3150443322C2780221984 @default.
- W3150443322 hasConceptScore W3150443322C2781197403 @default.
- W3150443322 hasConceptScore W3150443322C42407357 @default.
- W3150443322 hasConceptScore W3150443322C511355011 @default.
- W3150443322 hasConceptScore W3150443322C61427482 @default.
- W3150443322 hasConceptScore W3150443322C71924100 @default.
- W3150443322 hasConceptScore W3150443322C77350462 @default.
- W3150443322 hasConceptScore W3150443322C86803240 @default.
- W3150443322 hasFunder F4320320720 @default.
- W3150443322 hasIssue "7" @default.
- W3150443322 hasLocation W31504433221 @default.
- W3150443322 hasLocation W31504433222 @default.
- W3150443322 hasOpenAccess W3150443322 @default.
- W3150443322 hasPrimaryLocation W31504433221 @default.