Central markers of obesity affect heart rate variability independent of physical activity in young adults
Introduction: Obesity is considered to be a risk factor for a variety of cardiovascular conditions. Various markers for obesity are used to evaluate effect of obesity on cardiovascular autonomic activity. In light of conflicting reports on effect of obesity on heart rate variability (HRV), use of ob...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2022-01-01
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| Series: | Journal of Family Medicine and Primary Care |
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| Online Access: | http://www.jfmpc.com/article.asp?issn=2249-4863;year=2022;volume=11;issue=6;spage=2521;epage=2525;aulast=Banerjee |
| _version_ | 1818196385819787264 |
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| author | Anushna Banerjee Nikhilesh Singh Aruna Raju Richa Gupta |
| author_facet | Anushna Banerjee Nikhilesh Singh Aruna Raju Richa Gupta |
| author_sort | Anushna Banerjee |
| collection | DOAJ |
| description | Introduction: Obesity is considered to be a risk factor for a variety of cardiovascular conditions. Various markers for obesity are used to evaluate effect of obesity on cardiovascular autonomic activity. In light of conflicting reports on effect of obesity on heart rate variability (HRV), use of obesity indices, and the effect of physical activity on HRV, we evaluated autonomic activity in young Indian obese adults using revised Indian and World Health Organization (WHO) body mass index (BMI) guidelines for obesity, waist circumference (WC), and waist–hip ratio (WHR) taking into consideration the level of physical activity. Methods: The study was conducted on 91 young healthy adults. Height, weight, waist, and hip circumference were recorded to determine BMI and WHR. Five-minute electrocardiogram (ECG) was recorded for assessment of HRV. Physical activity was assessed by the WHO Global Physical Activity Questionnaire (GPAQ). Results: Waist circumference showed a negative correlation with the time domain parameters of HRV and high frequency normalized units (HFnu) while a positive correlation with low frequency normalized units (LFnu). In multiple linear regression analysis, time domain indices, HFnu and total power decreased while LFnu increased with an increase in WC. The result was supported by the similar effect of waist–hip ratio categories on HRV in analysis of covariance (ANCOVA). Physical activity had no effect on HRV. Conclusion: Central obesity parameters are better predictors of effect of obesity on HRV independent of the effect of physical activity. |
| first_indexed | 2024-12-12T01:33:15Z |
| format | Article |
| id | doaj.art-730dd9650f694be0acd2dde3eb06cb7b |
| institution | Directory Open Access Journal |
| issn | 2249-4863 |
| language | English |
| last_indexed | 2024-12-12T01:33:15Z |
| publishDate | 2022-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Journal of Family Medicine and Primary Care |
| spelling | doaj.art-730dd9650f694be0acd2dde3eb06cb7b2022-12-22T00:42:54ZengWolters Kluwer Medknow PublicationsJournal of Family Medicine and Primary Care2249-48632022-01-011162521252510.4103/jfmpc.jfmpc_1970_21Central markers of obesity affect heart rate variability independent of physical activity in young adultsAnushna BanerjeeNikhilesh SinghAruna RajuRicha GuptaIntroduction: Obesity is considered to be a risk factor for a variety of cardiovascular conditions. Various markers for obesity are used to evaluate effect of obesity on cardiovascular autonomic activity. In light of conflicting reports on effect of obesity on heart rate variability (HRV), use of obesity indices, and the effect of physical activity on HRV, we evaluated autonomic activity in young Indian obese adults using revised Indian and World Health Organization (WHO) body mass index (BMI) guidelines for obesity, waist circumference (WC), and waist–hip ratio (WHR) taking into consideration the level of physical activity. Methods: The study was conducted on 91 young healthy adults. Height, weight, waist, and hip circumference were recorded to determine BMI and WHR. Five-minute electrocardiogram (ECG) was recorded for assessment of HRV. Physical activity was assessed by the WHO Global Physical Activity Questionnaire (GPAQ). Results: Waist circumference showed a negative correlation with the time domain parameters of HRV and high frequency normalized units (HFnu) while a positive correlation with low frequency normalized units (LFnu). In multiple linear regression analysis, time domain indices, HFnu and total power decreased while LFnu increased with an increase in WC. The result was supported by the similar effect of waist–hip ratio categories on HRV in analysis of covariance (ANCOVA). Physical activity had no effect on HRV. Conclusion: Central obesity parameters are better predictors of effect of obesity on HRV independent of the effect of physical activity.http://www.jfmpc.com/article.asp?issn=2249-4863;year=2022;volume=11;issue=6;spage=2521;epage=2525;aulast=Banerjeebody mass indexheart rate variabilitywaist circumferencewaist–hip ratio |
| spellingShingle | Anushna Banerjee Nikhilesh Singh Aruna Raju Richa Gupta Central markers of obesity affect heart rate variability independent of physical activity in young adults Journal of Family Medicine and Primary Care body mass index heart rate variability waist circumference waist–hip ratio |
| title | Central markers of obesity affect heart rate variability independent of physical activity in young adults |
| title_full | Central markers of obesity affect heart rate variability independent of physical activity in young adults |
| title_fullStr | Central markers of obesity affect heart rate variability independent of physical activity in young adults |
| title_full_unstemmed | Central markers of obesity affect heart rate variability independent of physical activity in young adults |
| title_short | Central markers of obesity affect heart rate variability independent of physical activity in young adults |
| title_sort | central markers of obesity affect heart rate variability independent of physical activity in young adults |
| topic | body mass index heart rate variability waist circumference waist–hip ratio |
| url | http://www.jfmpc.com/article.asp?issn=2249-4863;year=2022;volume=11;issue=6;spage=2521;epage=2525;aulast=Banerjee |
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