| Literature DB >> 28620476 |
Cesar de Oliveira1, Jane P Biddulph1, Vasant Hirani2, Ione Jayce Ceola Schneider3,4.
Abstract
Recent evidence suggests that low vitamin D concentrations are associated with increased levels of inflammatory markers. However, there are limited studies investigating associations between vitamin D levels and inflammatory markers in the general population and much of this evidence in older adults is inconclusive. Therefore, this study investigates the cross-sectional association of serum 25-hydroxyvitamin D (25(OH)D) levels with inflammatory markers in 5870 older English adults from wave 6 (2012-2013) of the English Longitudinal Study of Ageing (ELSA). ELSA is a large prospective observational study of community-dwelling people aged 50 years and over in England. Serum 25(OH)D levels, C-reactive protein (CRP) levels, plasma fibrinogen levels, white blood cell count (WBC), age, season of blood collection, waist circumference, total non-pension household wealth, measures of health and health behaviours that included depression, number of cardiovascular, non-cardiovascular conditions and difficulties in activities of daily living, smoking, and physical activity were measured. There was a significant negative association between low 25(OH)D levels (≤30 nmol/l) and CRP (OR 1·23, 95 % CI 1·00, 1·51) and WBC (OR 1·35, 95 % CI 1·13, 1·60) that remained after adjustment for a wide range of covariates of clinical significance. However, for fibrinogen, the association did not remain significant when waist circumference was entered in the final model. Our findings showed that 25(OH)D levels were associated with two out the three inflammatory markers investigated. The independent and inverse association between serum 25(OH)D levels and inflammation suggests a potential anti-inflammatory role for vitamin D in older English individuals from the general population.Entities:
Keywords: 25(OH)D, 25-hydroxyvitamin D; Ageing; CRP, C-reactive protein; ELSA, English Longitudinal Study of Ageing; Inflammation; Older adults; Prospective studies; Vitamin D; WBC, white blood cell count
Year: 2017 PMID: 28620476 PMCID: PMC5465858 DOI: 10.1017/jns.2016.37
Source DB: PubMed Journal: J Nutr Sci ISSN: 2048-6790
Characteristics of the analytical sample of men and women aged 50 years and older from the English Longitudinal Study of Ageing (2012–2013) and who had a measure of serum 25-hydroxyvitamin D
(Numbers of subjects and percentages)
| Variable | % | |
|---|---|---|
| Sex ( | ||
| Male | 2640 | 45·0 |
| Female | 3230 | 55·0 |
| Age group (years) ( | ||
| 50–59 | 1369 | 23·2 |
| 60–69 | 2393 | 40·8 |
| 70–79 | 1542 | 26·3 |
| 80+ | 566 | 9·6 |
| Wealth ( | ||
| Lowest quintile | 854 | 14·9 |
| 2nd quintile | 1079 | 18·8 |
| 3rd quintile | 1227 | 21·3 |
| 4th quintile | 1274 | 22·2 |
| Highest quintile | 1318 | 22·9 |
| Season ( | ||
| Winter | 1560 | 26·6 |
| Spring | 437 | 7·4 |
| Summer | 1387 | 23·6 |
| Autumn | 2486 | 42·4 |
| Smoking status ( | ||
| Non-smoker | 2241 | 38·2 |
| Former smoker | 2963 | 50·5 |
| Current smoker | 666 | 11·4 |
| Physical activity ( | ||
| Sedentary | 274 | 4·7 |
| Mild | 870 | 14·8 |
| Moderate | 2828 | 48·2 |
| High | 1898 | 32·3 |
| Depressive status ( | ||
| No | 5119 | 88·0 |
| Yes | 700 | 12·0 |
| Number of cardiovascular conditions ( | ||
| None | 2264 | 38·6 |
| 1 | 1771 | 30·2 |
| 2+ | 1835 | 31·3 |
| Number of non-cardiovascular chronic conditions ( | ||
| None | 2562 | 43·7 |
| 1 | 2200 | 37·5 |
| 2+ | 1108 | 18·9 |
| Difficulties in activities of daily living ( | ||
| None | 4960 | 84·5 |
| 1+ | 910 | 15·5 |
| Waist circumference ( | ||
| Low | 1344 | 23·3 |
| Medium | 1477 | 25·6 |
| High | 2950 | 51·1 |
Unadjusted and multivariable logistic regression investigating the association between 25-hydroxyvitamin D (25(OH)D) concentrations with inflammatory markers†
(Odds ratios and 95 % confidence intervals)
| Model 1 (unadjusted) | Model 2 | Model 3 | Model 4 | Model 5 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| OR | 95 % CI | OR | 95 % CI | OR | 95 % CI | OR | 95 % CI | OR | 95 % CI | |
| C-reactive protein | ||||||||||
| 25(OH)D | ||||||||||
| Highest quartile | 1 | – | 1 | – | 1 | – | 1 | – | 1 | – |
| 3rd quartile | 1·17 | 0·97, 1·40 | 1·16 | 0·96, 1·40 | 1·15 | 0·95, 1·39 | 1·16 | 0·96, 1·40 | 1·06 | 0·87, 1·29 |
| 2nd quartile | 1·34* | 1·12, 1·61 | 1·32* | 1·10, 1·60 | 1·28* | 1·06, 1·55 | 1·27* | 1·04, 1·53 | 1·11 | 0·91, 1·35 |
| Lowest quartile | 1·69* | 1·41, 2·02 | 1·59* | 1·31, 1·93 | 1·42* | 1·17, 1·73 | 1·43* | 1·17, 1·75 | 1·23* | 1·00, 1·51 |
| Fibrinogen | ||||||||||
| 25(OH)D | ||||||||||
| Highest quartile | 1 | – | 1 | – | 1 | – | 1 | – | 1 | – |
| 3rd quartile | 1·09 | 0·81, 1·46 | 1·06 | 0·79, 1·43 | 1·06 | 0·79, 1·42 | 1·05 | 0·78, 1·41 | 0·98 | 0·73, 1·33 |
| 2nd quartile | 1·04 | 0·77, 1·40 | 1·03 | 0·76, 1·39 | 0·98 | 0·72, 1·33 | 0·95 | 0·70, 1·29 | 0·85 | 0·62, 1·16 |
| Lowest quartile | 1·80* | 1·38, 2·35 | 1·66* | 1·25, 2·22 | 1·40* | 1·04, 1·87 | 1·37* | 1·02, 1·84 | 1·22 | 0·90, 1·66 |
| White blood cell count | ||||||||||
| 25(OH)D | ||||||||||
| 3rd quartile | 1·17* | 1·01, 1·35 | 1·13 | 0·98, 1·32 | 1·12 | 0·96, 1·31 | 1·14 | 0·98, 1·33 | 1·09 | 0·93, 1·28 |
| 2nd quartile | 1·26* | 1·09, 1·47 | 1·26* | 1·08, 1·46 | 1·18* | 1·01, 1·39 | 1·19* | 1·01, 1·40 | 1·11 | 0·94, 1·31 |
| Lowest quartile | 1·73* | 1·49, 2·01 | 1·70* | 1·45, 2·00 | 1·44* | 1·22, 1·72 | 1·45* | 1·22, 1·72 | 1·35* | 1·13, 1·60 |
* P < 0.001.
† Model 1: 25(OH)D (unadjusted). Model 2: model 1 + adjusted for sex, age group, wealth, and season. Model 3: model 2 + adjusted for smoking, and physical exercise. Model 4: model 3 + adjusted for depression, number of cardiovascular conditions, number of non-cardiovascular conditions, and difficulties in activities of daily living. Model 5: model 4 + adjusted for waist circumference.