| Literature DB >> 25343719 |
Krithiga Shridhar1, Preet Kaur Dhillon1, Liza Bowen2, Sanjay Kinra2, Ankalmadugu Venkatsubbareddy Bharathi3, Dorairaj Prabhakaran4, Kolli Srinath Reddy5, Shah Ebrahim2.
Abstract
BACKGROUND: Studies in the West have shown lower cardiovascular disease (CVD) risk among people taking a vegetarian diet, but these findings may be confounded and only a minority selects these diets. We evaluated the association between vegetarian diets (chosen by 35%) and CVD risk factors across four regions of India.Entities:
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Year: 2014 PMID: 25343719 PMCID: PMC4208768 DOI: 10.1371/journal.pone.0110586
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Socio-demographic and lifestyle characteristics of Indian Migration Study population.
| %/mean(SD) | Vegetarians (n = 2148) | Non-vegetarians (n = 4407) | p-value |
|
| 41.2(10.2) | 40.8 (10.4) | 0.2 |
|
| 23.0(6.3) | 21.0(6.7) | <0.0001 |
|
| 4.2 | 11.6 | <0.0001 |
|
| |||
| Male | 56.5 | 59 | 0.05 |
| Female | 43.5 | 41 | |
|
| |||
| Rural | 33.2 | 38.2 | <0.0001 |
| Migrants | 30.8 | 30.4 | |
| Urban | 35.9 | 31.3 | |
|
| |||
| Never | 90.6 | 85.7 | <0.0001 |
| Previous | 1.9 | 2.5 | |
| Current | 7.5 | 11.8 | |
|
| |||
| Never | 84.8 | 83.7 | 0.13 |
| Previous | 2.4 | 2 | |
| Current | 12.8 | 14.3 | |
|
| |||
| Never | 91.9 | 75.1 | <0.0001 |
| Previous | 2.2 | 3.4 | |
| Current | 5.7 | 21.3 | |
|
| |||
| No | 90.4 | 89.8 | 0.48 |
| Yes | 9.7 | 10.2 | |
|
| |||
| No | 76.1 | 74.6 | 0.20 |
| Yes | 23.8 | 25.3 | |
|
| 12.7(1.8) | 13.3(3.7) | <0.0001 |
|
| 38.6(4.2) | 38.9(4.7) | 0.04 |
|
| 23.9(4.4) | 23.9(4.5) | 0.99 |
* p-values are from t-test of significance for continuous data and chi-square test of significance for categorical data.
Standard of Living Index (SLI) distribution is 1–36 (Median 23, Inter quartile range (IQR) = 17–27).
BMI – Body mass index.
Macro and micro-nutrient intake (estimated) of Indian Migration Study population.
| Macro-Micro nutrients (Median; IQR) | Vegetarians (n = 2148) | Non-vegetarians (n = 4407) |
|
| 2712.2 (2235.8 to 3321.7) | 2728.8 (2156.5 to 3433.3) |
|
| 76.1 (60.8 to 92.8) | 78.1 |
|
| 13.7 (10.7 to 17.3) | 12.8 |
|
| 74.2 (58.9 to 95.7) | 75.9 (57.5 to 101.1) |
|
| 25.5 (19.2 to 32.5) | 22.4 |
|
| 980.6 (751.0 to 1247.1) | 946.5 |
|
| 11.6 (8.9 to 14.5) | 11.6 (8.8 to 14.9) |
|
| 142.7 (100.7 to 200.5) | 136.9 |
|
| 1.2 (0.8 to 1.8) | 2.2 |
|
| 355.6 (279.4 to 436.3) | 327.2 |
** p<0.01.
* p<0.05.
p-values are from Wilcoxon Rank Sum non-parametric test for continuous data.
Chi-Square test for categorical data.
Multivariate linear regression models* for cardiovascular risk factors of Indian Migration Study population comparing non-vegetarians with vegetarians.
| Cardiovascular risk factors (Reference- vegetarian) | Model I Robust standard error accounting for sibling clusters | Model II Adjusted for age, sex, SLI and Sib-Pair | Model III | |||
| β(95% CI) | p-value | β (95% CI) | p-value | β(95% CI) | p-value | |
|
| 0.08 (0.02 to 0.2) | 0.006 | 0.1 (0.07 to 0.2) | <0.0001 | 0.10 (0.03 to 0.2) | 0.006 |
|
| 0.07 (0.03 to 0.1) | <0.0001 | 0.1 (0.06 to 0.2) | <0.0001 | 0.05(0.007 to 0.01) | 0.02 |
|
| 0.08 (0.02 to 0.1) | 0.004 | 0.1 (0.05 to 0.2) | <0.0001 | 0.06 (0.005 to 0.1) | 0.03 |
|
| −0.02 (−0.03 to −0.009) | 0.001 | −0.02(−0.03 to −0.006) | 0.005 | 0.01 (−0.003 to 0.03) | 0.13 |
|
| −0.1(−0.2 to −0.03) | 0.005 | −0.05 (−0.13 to 0.01) | 0.13 | 0.07(−0.01 to 0.2) | 0.09 |
|
| 2.2 (1.2 to 3.1) | <0.0001 | 2.5 (1.6 to 3.4) | <0.0001 | 0.9 (−0.08 to 1.9) | 0.07 |
|
| 1.9 (1.3 to 2.5) | <0.0001 | 2.3 (1.7 to 2.9) | <0.0001 | 0.7(0.07 to 1.2) | 0.02 |
* Robust standard error.
** When models were run using log-transformed outcome variables, p-value significance levels remained the same. Similarly when models were run after adjusting for use of any regular medication, conclusions remained the same.
Comparison of study findings on cardiovascular risk factors between vegetarians and non-vegetarians.
| Reduction in vegetarians (V) compared to non-vegetarians (NV) | Change (Δ) in total cholesterol mmol/L | Δ in LDL mmol/L | Δ in Systolic BP mm/Hg | Δ in Diastolic BP mm/Hg | Sample size | Confounders adjustment |
| Current study | −0.1 | −0.06 | −0.9 | −0.7 | V -2,148 NV- 4,407 | Age, sex, SLI, location, migration status, tobacco, alcohol, BMI, energy and physical activity |
| Crowe et al. 2013 EPIC-Oxford prospective study UK | −0.5 | NA | −3.7 | −0.6 | V -230 | Age and sex |
| NV- 1316 | ||||||
| Appleby et al. 2002 EPIC-Oxford prospective study UK | NA | NA | Men: −1.1 | Men: −1.0 | V – 3802 | Age |
| Women: −0.1 | Women: −0.2 | NV- 4737 | ||||
| Thorogood et al. 1987 Oxford vegetarian prospective study UK | −0.4 | −0.5 | NA | NA | V -1,550 | Age and sex |
| NV- 1198 | ||||||
| West and Haynes 1968 Seventh day Adventist prospective study US | −0.6 | NA | NA | NA | V- 233 | Age and sex matched population |
| NV- 233 |
* p<0.05.
** p<0.01 NA- Not Available.