| Literature DB >> 28088200 |
Jing Chen1, Chunfeng Yun2, Yuna He3, Jianhua Piao1, Lichen Yang1, Xiaoguang Yang4.
Abstract
BACKGROUND: Vitamin D inadequacy is common among the elderly, especially within the Asian population. The vitamin D status among healthy adults in the elderly Chinese population was evaluated.Entities:
Keywords: China; Elderly population; Environment; Risk factors; Vitamin D
Mesh:
Substances:
Year: 2017 PMID: 28088200 PMCID: PMC5237548 DOI: 10.1186/s12937-016-0224-3
Source DB: PubMed Journal: Nutr J ISSN: 1475-2891 Impact factor: 3.271
Demographic characteristics of the elderly Chinese study participants
| Men | Women | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| n | 25(OH)D (nmol/l) | Percentage with 25(OH)D levels |
| n | 25(OH)D (nmol/l) | Percentage with 25(OH)D levels |
| |||||||
| mean | SD | <30 nmol/l | 30–50 nmol/l | >50 nmol/l | mean | SD | <30 nmol/l | 30–50 nmol/l | >50 nmol/l | |||||
| Total | 2948 | 63.3 | 25.1 | 7.8 | 26.3 | 65.9 | 3066 | 56.1 | 22.9 | 12 | 32 | 56 | ||
| Age group | 0.7021 | 0.2938 | ||||||||||||
| 60–69 | 1818 | 63.9 | 25.1 | 7.5 | 25.5 | 67 | 1987 | 56.4 | 23.1 | 11.2 | 32.7 | 56.1 | ||
| 70–79 | 951 | 62.5 | 25 | 8.2 | 27.7 | 64.1 | 878 | 55.4 | 22.4 | 13.7 | 30.2 | 56.2 | ||
| 80+ | 179 | 61.9 | 24.6 | 8.4 | 27.9 | 63.7 | 201 | 56 | 22.9 | 11.9 | 33.8 | 54.2 | ||
| BMI (kg/m2) | 0.7826 | 0.3829 | ||||||||||||
| <18.5 | 414 | 62.7 | 25.9 | 6.8 | 30 | 63.3 | 398 | 56.1 | 24.5 | 12.6 | 33.4 | 54 | ||
| 18.5–24.0 | 1303 | 63.9 | 24.9 | 7.7 | 25 | 67.3 | 1363 | 56.9 | 23.1 | 11.4 | 31.4 | 57.2 | ||
| 24.0–28.0 | 870 | 63.2 | 25 | 8.2 | 25.4 | 66.4 | 957 | 55.3 | 22.1 | 13 | 31.5 | 55.6 | ||
| >28.0 | 361 | 62.2 | 24.9 | 8.6 | 29.1 | 62.3 | 348 | 55 | 21.8 | 10.9 | 34.5 | 54.6 | ||
| Ethnicity | 0.006 | 0.2212 | ||||||||||||
| Han nationality | 2719 | 63.7 | 25 | 7.3 | 26.2 | 66.5 | 2810 | 56.4 | 23 | 11.8 | 31.6 | 56.6 | ||
| Hui nationality | 11 | 71.9 | 24.6 | 9.1 | 0 | 90.9 | 20 | 53.5 | 17.4 | 5 | 50 | 45 | ||
| Other nationality | 218 | 57.8 | 25 | 13.8 | 28.9 | 57.3 | 236 | 52.2 | 20.7 | 14.4 | 36 | 49.6 | ||
| Regional strata | <0.0001 | 0.0005 | ||||||||||||
| Large cities | 701 | 58.2 | 23 | 9.8 | 30.7 | 59.5 | 724 | 55.3 | 22.1 | 10.1 | 37.6 | 52.3 | ||
| Small to medium cities | 875 | 65.6 | 26.5 | 6.6 | 25.9 | 67.4 | 885 | 55.8 | 23.5 | 12.2 | 33.7 | 54.1 | ||
| General rural areas | 859 | 65.6 | 25.4 | 7.9 | 21.5 | 70.5 | 924 | 57.2 | 23.6 | 14.2 | 26.8 | 59 | ||
| Poor rural areas | 513 | 62.4 | 23.8 | 6.8 | 29 | 64.1 | 533 | 55.6 | 21.3 | 10.3 | 30.8 | 58.9 | ||
| Vitamin D supplementation | 0.8237 | 0.4676 | ||||||||||||
| No | 2940 | 63.3 | 25.1 | 7.8 | 26.3 | 65.9 | 3057 | 56.1 | 22.9 | 12 | 32 | 56 | ||
| Yes | 8 | 68.4 | 24.3 | 0 | 25 | 75 | 9 | 51.9 | 14 | 11.1 | 33.3 | 55.6 | ||
| Ambient UVB levels (J/m2) | <0.0001 | <0.0001 | ||||||||||||
| Low | 953 | 60.1 | 25.2 | 8.1 | 34 | 57.9 | 964 | 51.7 | 21.6 | 13.8 | 39.6 | 46.6 | ||
| Medium | 953 | 62.9 | 25.3 | 8.6 | 26.9 | 64.5 | 1045 | 55.7 | 23.1 | 13.4 | 31.5 | 55.1 | ||
| High | 1042 | 66.6 | 24.3 | 6.8 | 18.8 | 74.4 | 1057 | 60.5 | 22.9 | 8.9 | 25.6 | 65.5 | ||
| Hypertension | 0.5523 | 0.6414 | ||||||||||||
| No | 2081 | 63.9 | 25 | 7.5 | 25.9 | 66.6 | 2150 | 55.9 | 22.8 | 12.5 | 31.9 | 55.6 | ||
| Yes | 867 | 61.9 | 25.2 | 8.5 | 27.3 | 64.1 | 916 | 56.6 | 22.9 | 10.7 | 32.3 | 57 | ||
| Education level | 0.8044 | 0.0779 | ||||||||||||
| Illiteracy | 248 | 61.2 | 24.9 | 9.3 | 27 | 63.7 | 254 | 55 | 25.9 | 15.8 | 30.3 | 53.9 | ||
| Literate | 2700 | 63.5 | 25.1 | 7.7 | 26.3 | 66.1 | 2812 | 56.2 | 22.6 | 11.6 | 32.2 | 56.2 | ||
| Season | 0.1786 | <0.0001 | ||||||||||||
| Spring | 125 | 56.1 | 25.1 | 13.6 | 32.8 | 53.6 | 132 | 49.1 | 18.9 | 16.7 | 40.2 | 43.2 | ||
| Summer | 382 | 64.1 | 23.9 | 6.3 | 24.9 | 68.8 | 383 | 59 | 21.8 | 7.3 | 28.2 | 64.5 | ||
| Autumn | 1943 | 63.8 | 25.5 | 7.5 | 26.4 | 66.1 | 2042 | 56.6 | 23.3 | 11.5 | 32.2 | 56.3 | ||
| Winter | 498 | 62.6 | 24.2 | 8.6 | 25.5 | 65.9 | 509 | 53.7 | 22.4 | 16.1 | 32.2 | 51.7 | ||
Mann-Whitney U test was used for comparisons of different sub-groups
Associations of various lifestyle factors with vitamin D inadequacy among the elderly Chinese population
| Total ( | Men ( | Women ( | ||||
|---|---|---|---|---|---|---|
| OR (95% CI) |
| OR (95% CI) |
| OR (95% CI) |
| |
| Gender | ||||||
| Men | ref | |||||
| Women | 1.544 (1.388–1.717) | <0.0001 | ||||
| Age group | ||||||
| 60–69 | ref | ref | ref | |||
| 70–79 | 1.066 (0.948–1.199) | 0.9405 | 1.126 (0.952–1.332) | 0.6001 | 1.01 (0.858–1.19) | 0.5367 |
| 80+ | 1.149 (0.923–1.432) | 0.3334 | 1.132 (0.816–1.572) | 0.6947 | 1.159 (0.86–1.56) | 0.3447 |
| BMI (kg/m2) | ||||||
| 18.5–24.0 | ref | ref | ref | |||
| <18.5 | 1.238 (1.049–1.462) | 0.0259 | 1.261 (0.994–1.6) | 0.0857 | 1.225 (0.971–1.546) | 0.1284 |
| 24.0–28.0 | 1.005 (0.885–1.141) | 0.1451 | 0.974 (0.806–1.177) | 0.1329 | 1.031 (0.868–1.226) | 0.5529 |
| >28.0 | 1.079 (0.904–1.289) | 0.9713 | 1.11 (0.86–1.433) | 0.7736 | 1.044 (0.815–1.336) | 0.7716 |
| Season | ||||||
| Summer | ref | ref | ref | |||
| Spring | 2.487 (1.849–3.346) | <0.0001 | 2.137 (1.398–3.268) | 0.0015 | 2.858 (1.887–4.327) | 0.0005 |
| Autumn | 1.462 (1.235–1.731) | 0.2201 | 1.269 (0.996–1.618) | 0.3442 | 1.66 (1.313–2.098) | 0.4294 |
| Winter | 1.591 (1.301–1.947) | 0.6809 | 1.245 (0.929–1.667) | 0.3491 | 1.977 (1.496–2.614) | 0.1581 |
| Ambient UVB (J/m2) | ||||||
| High | ref | ref | ref | |||
| Low | 2.233 (1.952–2.553) | <0.0001 | 2.119 (1.743–2.575) | <0.0001 | 2.352 (1.954–2.832) | <0.0001 |
| Medium | 1.646 (1.442–1.877) | 0.0939 | 1.665 (1.37–2.025) | 0.1111 | 1.625 (1.358–1.944) | 0.4636 |
| Education level | ||||||
| Illiteracy | ref | ref | ref | |||
| Literate | 0.854 (0.704–1.036) | 0.1085 | 0.875 (0.661–1.158) | 0.3515 | 0.837 (0.641–1.094) | 0.1928 |
| Region strata | ||||||
| General rural areas | ref | ref | ref | |||
| Large cities | 1.287 (1.109–1.494) | 0.0026 | 1.466 (1.179–1.823) | 0.0022 | 1.147 (0.935–1.408) | 0.2101 |
| Small to medium cities | 1.136 (0.987–1.307) | 0.664 | 1.093 (0.887–1.346) | 0.2145 | 1.18 (0.974–1.429) | 0.0716 |
| Poor rural areas | 1.052 (0.894–1.238) | 0.2912 | 1.234 (0.974–1.565) | 0.6048 | 0.916 (0.732–1.145) | 0.0573 |
| Hypertension | ||||||
| No | ref | ref | ref | |||
| Yes | 1.012 (0.894–1.145) | 0.8529 | 0.911 (0.76–1.093) | 0.3181 | 1.099 (0.928–1.301) | 0.2751 |