FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2165562801> ?p ?o ?g. }

• W2165562801 endingPage "64" @default.
• W2165562801 startingPage "657" @default.
• W2165562801 abstract "Overweight and obesity are important determinants of health leading to adverse metabolic changes, including increase in blood pressure. Being overweight is associated with two- to six-fold increase in the risk of developing hypertension. Studies in urban Indian population showed strong relationship between different anthropometric indicators and blood pressure levels. Surprisingly, little is known about these relationships in rural population of India. The present study was carried out to examine the relationship between different anthropometric indicators and blood pressure levels in rural population of Wardha district in central India.This cross-sectional study was carried out in the areas of two Rural Health Training Centres (RHTC) of Department of Community Medicine, Mahatma Gandhi Institute of Medical Sciences, Sewagram; namely Bhidi and Anji through house-to-house visits. Two stage sampling method (30 cluster followed by systematic random) was used to reach the respondents' households. Partial correlation coefficients were used for continuous variables. Linear regression analysis was used to assess the influence of different anthropometric indicators on the systolic and diastolic blood pressure. ROC analysis was done to identify optimal cut-off values while likelihood ratios were calculated to identify the odds of having hypertension in comparison to those with lower values of anthropometric indicators.The mean systolic blood pressures were 120.2 and 118.4 mmHg while the mean diastolic blood pressures were 77.7 and 76.3 mmHg in men and women respectively. There was a significant positive correlation of obesity indicators with both systolic and diastolic blood pressure. For SBP, the correlation coefficient was 0.23 with BMI, 0.23 with waist circumference, 0.11 with WHR and 0.22 with WHtR. For DBP, it was 0.13 with BMI, 0.12 with WC, 0.04 with WHR and 0.11 with WHtR. Step-wise linear regression suggested that BMI and WC were important predictors of hypertension. The suggested cut-off values for BMI were 21.7 for men and 21.2 for women; for waist circumference, the cut-offs were 72.5 for men and 65.5 for women.BMI and WC had strong correlation with systolic and diastolic blood pressure. The suggested lower cut-off values of the anthropometric indicators will cover maximum of the population with higher odds of having hypertension and may help in reducing the mean population blood pressure levels." @default.
• W2165562801 created "2016-06-24" @default.
• W2165562801 creator A5009306051 @default.
• W2165562801 creator A5021230022 @default.
• W2165562801 creator A5034082014 @default.
• W2165562801 creator A5041471716 @default.
• W2165562801 creator A5069390600 @default.
• W2165562801 creator A5080084921 @default.
• W2165562801 creator A5085818042 @default.
• W2165562801 date "2006-05-01" @default.
• W2165562801 modified "2023-10-02" @default.
• W2165562801 title "Relationship of anthropometric indicators with blood pressure levels in rural Wardha." @default.
• W2165562801 cites W1482482267 @default.
• W2165562801 cites W1589989084 @default.
• W2165562801 cites W1599308926 @default.
• W2165562801 cites W163617289 @default.
• W2165562801 cites W1844122387 @default.
• W2165562801 cites W1979455569 @default.
• W2165562801 cites W1991610154 @default.
• W2165562801 cites W1998732543 @default.
• W2165562801 cites W2000134510 @default.
• W2165562801 cites W2002654539 @default.
• W2165562801 cites W2013271332 @default.
• W2165562801 cites W2028046440 @default.
• W2165562801 cites W2033372414 @default.
• W2165562801 cites W2036536212 @default.
• W2165562801 cites W203680343 @default.
• W2165562801 cites W2053106095 @default.
• W2165562801 cites W2082432254 @default.
• W2165562801 cites W2107535142 @default.
• W2165562801 cites W2109674748 @default.
• W2165562801 cites W2111809924 @default.
• W2165562801 cites W2113123400 @default.
• W2165562801 cites W2135965496 @default.
• W2165562801 cites W2144739613 @default.
• W2165562801 cites W2155872087 @default.
• W2165562801 cites W2161001082 @default.
• W2165562801 cites W2167515264 @default.
• W2165562801 cites W2345369132 @default.
• W2165562801 cites W2361122142 @default.
• W2165562801 cites W2409897412 @default.
• W2165562801 cites W2463625837 @default.
• W2165562801 cites W3126800207 @default.
• W2165562801 cites W52022824 @default.
• W2165562801 cites W618167243 @default.
• W2165562801 cites W67589790 @default.
• W2165562801 cites W67916611 @default.
• W2165562801 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/16873908" @default.
• W2165562801 hasPublicationYear "2006" @default.
• W2165562801 type Work @default.
• W2165562801 sameAs 2165562801 @default.
• W2165562801 citedByCount "57" @default.
• W2165562801 countsByYear W21655628012012 @default.
• W2165562801 countsByYear W21655628012013 @default.
• W2165562801 countsByYear W21655628012014 @default.
• W2165562801 countsByYear W21655628012015 @default.
• W2165562801 countsByYear W21655628012016 @default.
• W2165562801 countsByYear W21655628012017 @default.
• W2165562801 countsByYear W21655628012018 @default.
• W2165562801 countsByYear W21655628012019 @default.
• W2165562801 countsByYear W21655628012020 @default.
• W2165562801 countsByYear W21655628012021 @default.
• W2165562801 countsByYear W21655628012022 @default.
• W2165562801 crossrefType "journal-article" @default.
• W2165562801 hasAuthorship W2165562801A5009306051 @default.
• W2165562801 hasAuthorship W2165562801A5021230022 @default.
• W2165562801 hasAuthorship W2165562801A5034082014 @default.
• W2165562801 hasAuthorship W2165562801A5041471716 @default.
• W2165562801 hasAuthorship W2165562801A5069390600 @default.
• W2165562801 hasAuthorship W2165562801A5080084921 @default.
• W2165562801 hasAuthorship W2165562801A5085818042 @default.
• W2165562801 hasConcept C126322002 @default.
• W2165562801 hasConcept C142052008 @default.
• W2165562801 hasConcept C142724271 @default.
• W2165562801 hasConcept C144024400 @default.
• W2165562801 hasConcept C149923435 @default.
• W2165562801 hasConcept C156957248 @default.
• W2165562801 hasConcept C183380357 @default.
• W2165562801 hasConcept C2780586474 @default.
• W2165562801 hasConcept C2908647359 @default.
• W2165562801 hasConcept C511355011 @default.
• W2165562801 hasConcept C61427482 @default.
• W2165562801 hasConcept C71924100 @default.
• W2165562801 hasConcept C84393581 @default.
• W2165562801 hasConcept C99454951 @default.
• W2165562801 hasConceptScore W2165562801C126322002 @default.
• W2165562801 hasConceptScore W2165562801C142052008 @default.
• W2165562801 hasConceptScore W2165562801C142724271 @default.
• W2165562801 hasConceptScore W2165562801C144024400 @default.
• W2165562801 hasConceptScore W2165562801C149923435 @default.
• W2165562801 hasConceptScore W2165562801C156957248 @default.
• W2165562801 hasConceptScore W2165562801C183380357 @default.
• W2165562801 hasConceptScore W2165562801C2780586474 @default.
• W2165562801 hasConceptScore W2165562801C2908647359 @default.
• W2165562801 hasConceptScore W2165562801C511355011 @default.
• W2165562801 hasConceptScore W2165562801C61427482 @default.
• W2165562801 hasConceptScore W2165562801C71924100 @default.
• W2165562801 hasConceptScore W2165562801C84393581 @default.

• next