| Literature DB >> 24899080 |
Krithiga Shridhar1, Preet Kaur Dhillon, Liza Bowen, Sanjay Kinra, Ankalmadugu Venkatsubbareddy Bharathi, Dorairaj Prabhakaran, Kolli Srinath Reddy, Shah Ebrahim.
Abstract
BACKGROUND: The cardiovascular and other health benefits and potential harms of protein and micronutrient deficiency of vegetarian diets continue to be debated.Entities:
Mesh:
Substances:
Year: 2014 PMID: 24899080 PMCID: PMC4055802 DOI: 10.1186/1475-2891-13-55
Source DB: PubMed Journal: Nutr J ISSN: 1475-2891 Impact factor: 3.271
Socio-demographic and lifestyle characteristics of Indian migration study population
| 41.2(10.2) | 40.8(10.4) | 0.2 | |
| 23.0(6.3) | 21.0(6.7) | <0.0001 | |
| | | | |
| Male | 56.5 | 59.0 | 0.05 |
| Female | 43.5 | 41.0 | |
| | | | |
| Rural | 33.2 | 38.2 | <0.0001 |
| Migrants | 30.8 | 30.4 | |
| Urban | 35.9 | 31.3 | |
| | | | |
| Luck now | 47.5 | 19.6 | <0.0001 |
| Nagpur | 23.8 | 21.4 | |
| Hyderabad | 10.1 | 37.6 | |
| Bangalore | 18.4 | 21.3 | |
| | | | |
| 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 | 2.0 | |
| 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 | |
| 27.1(8.2) | 27(8.2) | 0.51 |
*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, IQR =17-27).
‡Metabolic Equivalent tasks.
Food consumption patterns of Indian migration study population
| (g/day) | (n = 2148) (Median; IQR) | (n = 4407) (Median; IQR) |
| 366.9 | 372.1* | |
| (285.2-469.6) | (289.0-479.6) | |
| 61.0 | 45.8** | |
| (42.0-85.2) | (29.3-69.7) | |
| 115.4 | 126.0** | |
| (68.4-199.5) | (71.5-210.5) | |
| 241.8 | 199.6** | |
| (168.0-336.7) | (125.9-300.6) | |
| 47.3 | 28.7** | |
| (23.4-86.4) | (11.3-57.4) | |
| 17.1 | 18.6** | |
| (12.5-22.5) | (13.2-25.4) | |
| - | 3.9 | |
| | (0.5-9.9) | |
| - | 20.3 | |
| | (9.6-38.9) | |
| 352.8 | 291.2** | |
| (215.8-502.0) | (183.6- 431.7) | |
| 10.1 | 10.0 | |
| (6.1-17.3) | (5.5-18.6) | |
| - | 0.1 | |
| | (0.06-0.3) | |
| 43.4 | 44.2 | |
| (32.2-57.5) | (31.6-60.9) | |
| 37.0 | 31.2** | |
| (25.8-50.9) | (20.6-45.2) | |
| 7.8 | 9.1** | |
| (5.8-10.9) | (6.6-12.3) |
**p < 0.01 *p < 0.05 (Wilcoxon Rank Sum non-parametric test).
Multivariate linear regression models* for macro- and micro-nutrient intake of Indian migration study population comparing non-vegetarian with vegetarian diets
| | | | ||||
|---|---|---|---|---|---|---|
| 2.1 (0.8 to 3.5) | 0.002 | 4.0 (2.7 to 5.3) | < 0.0001 | 6.4 (5.8 to 7.0) | <0.0001 | |
| 1.8 (0.1 to 3.5) | 0.03 | 3.9 (2.2 to 5.5) | < 0.0001 | 1.6 (0.62 to 2.7) | 0.002 | |
| −0.37 (−0.9 to 0.23) | 0.22 | 0 .34 (−0.24 to 0.93) | 0.25 | −0.13 (−0.57 to 0.30) | 0.54 | |
| −1.2 (−1.9 to −0.5) | <0.0001 | −0. 73 (−1.4 to 0.05) | 0.03 | 0.94 (0.40 to 1.4) | 0.001 | |
| 3.4 (2.6 to 4.1) | < 0.0001 | 4.1 (3.4 to 4.9) | < 0.0001 | 0.57 (0.02 to 1.1) | 0.04 | |
| −0.78 (−1.0 to −0.4) | < 0.0001 | −0.41 (−0.70 to 0.11) | 0.006 | −0.15 (−0.34 to 0.03) | 0.11 | |
| −3.6 (−10.9 to 3.5) | 0.3 | 1.0 ( −5.4 to 8.5) | 0.66 | −7.0 (−9.9 to −4.0) | <0.0001 | |
| −2.6 (−3.1 to −2.0) | < 0.0001 | −1.8 (−2.4 to −1.3) | < 0.0001 | −0.07 (−0.34 to 0.21) | 0.64 | |
| 2.0 (1.8 to 2.2) | < 0.0001 | 2.1 (1.9 to 2.3) | < 0.0001 | 1.4 (1.2 to 1.5) | <0.0001 | |
| −18.3 (−43.0 to 6.4 ) | 0.14 | 16.4 (−7.4 to 40.3) | 0.176 | 11.3 (−18.5 to 16.9) | 0.92 | |
| 0.18 (−0.03 to 0.41) | 0.10 | 0.49 (0.28 to 0 .71) | < 0.0001 | 0.55 (0 .44 to 0.65) | <0.0001 | |
| −4.1 (−9.0 to 0. 68) | 0.09 | 2.7 (−2.0 to 7.5) | 0.08 | −8.7 (−13.0 to −4.3) | < 0.0001 | |
| −27.1 (−34.4 to −19.8) | < 0.0001 | −15.8 (−22.8 to −8.8) | < 0.0001 | −8.0 (−12.7 to −3.3) | 0.001 |
†When models were run using log-transformed outcome variables, p-value significance levels remained the same except total fibre which became significant at p =0.01. β = for 1-unit increase of each nutrient comparing vegetarians and non-vegetarians.
*Robust Standard Error.
Reference group - Vegetarians.
Model I – Unadjusted; Model II- Adjusted for age, sex, SLI and Sib-Pair.
Model II- Adjusted for age, sex, SLI, site, migration status, energy, physical activity and Sib-Pair.
Macro and micro-nutrient intake (estimated) of Indian migration study population in comparison to RDA
| 2712.2 (2235.8-3321.7) | 2728.8 (2156.5-3433.3) | 38.7 | 40.5 | 2730 (for moderate work) | 2230 (for moderate work) | |
| 76.1 (60.8-92.8) | 78.1* (59.9-97.7) | 19.8 | 22.5* | 60.0 | 55.0 | |
| 431.5 (351.8 to 526.4) | 426.0 (340.3 to 533.5) | NA | NA | NA | NA | |
| 13.7 (10.7-17.3) | 12.8** (9.3-17.0) | 86.7 | 87.0 | 20.0 | 20.0 | |
| 74.2 (58.9-95.7) | 75.9 (57.5-101.1) | NA | NA | NA | NA | |
| 22.9 (17.1-29.9) | 22.0** (15.9-30.1) | NA | NA | NA | NA | |
| 23.8 (16.9-31.9) | 22.1** (15.8-30.3) | NA | NA | NA | NA | |
| 18.6 (12.4-29.7) | 23.1** (14.7-34.1) | NA | NA | NA | NA | |
| 25.5 (19.2-32.5) | 22.4** (15.6-30.9) | 23.2 | 36.4** | 17.0 | 21.0 | |
| 980.6 (751.0-1247.1) | 946.5** (692.9-1253.1) | 12.5 | 16.8** | 600.0 | 600.0 | |
| 11.6 (8.9-14.5) | 11.6 (8.8-14.9) | 43.2 | 45.4 | 12.0 | 10.0 | |
| 142.7 (100.7-200.5) | 136.9** (92.3-197.4) | 0.8 | 2.0** | 40.0 | 40.0 | |
| 1.2 (0.8-1.8) | 2.2** (1.3-3.6) | 35.1 | 12.6** | 1.0 | 1.0 | |
| 355.6 (279.4-436.3) | 327.2** (247.0-419.4) | 6.6 | 13** | 200.0 | 200.0 | |
**p < 0.01; *p < 0.05; NA - Not Applicable.
Wilcoxon Rank Sum non-parametric test for continuous data and Chi-square test for categorical data.
#% below RDA is a single variable which includes RDA for men and women separately wherever required.