| Literature DB >> 34221502 |
Samuel Asamoah Sakyi1, Maxwell Hubert Antwi1, Linda Ahenkorah Fondjo1, Edwin Ferguson Laing1, Richard K Dadzie Ephraim2, Alexander Kwarteng3, Benjamin Amoani4, Seth Christopher Appiah5, Bright Oppong Afranie1, Stephen Opoku6, Tonnies Abeku Buckman1.
Abstract
BACKGROUND: Vitamin D is a steroid hormone important for the normal functioning of the body. It is produced through skin exposure to sunlight and from the diet. Although Ghana is located in the tropics where sunlight is abundant, factors like culture, diet, skin pigmentation, variation in the ozone layer, and geographical area influence the optimization of vitamin D concentration. It is imperative to evaluate the interplay between sunshine exposure, proinflammatory cytokines, and mediators of vitamin D metabolism and their relationship to vitamin D status in three geographical sections among apparent healthy Ghanaians. METHODS ANDEntities:
Year: 2021 PMID: 34221502 PMCID: PMC8213472 DOI: 10.1155/2021/9987141
Source DB: PubMed Journal: J Nutr Metab ISSN: 2090-0724
Sociodemographic and baseline characteristics of study participants.
| Variables | Total ( | Divisions |
| ||
|---|---|---|---|---|---|
| NS ( | MB ( | SS ( | |||
| Age (years) (mean ± SD) | 27.97 ± 8.87 | 27.19 ± 8.05 | 26.31 ± 7.02 | 30.83 ± 9.38 | <0.001 |
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| Age group (years) | |||||
| <20 | 84 (16.8%) | 44 (52.4%) | 23 (27.4%) | 17 (20.2%) | 0.157 |
| 20–29 | 239 (47.8%) | 101 (42.3%) | 85 (35.5%) | 53 (22.2%) | <0.001 |
| 30–39 | 121 (24.2%) | 58 (47.9%) | 17 (14.0%) | 46 (38.1%) | <0.001 |
| ≥40 | 56 (11.2%) | 18 (32.1%) | 14 (25.0%) | 24 (42.9%) | 0.027 |
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| Gender | |||||
| Male | 362 (72.4%) | 154 (42.5%) | 107 (29.6%) | 101 (27.9%) | 0.320 |
| Female | 138 (27.6%) | 67 (61.0%) | 32 (38.4%) | 39 (38.6%) | 0.320 |
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| Marital status | |||||
| Single | 309 (61.8%) | 138 (44.7%) | 101 (32.7%) | 70 (22.6%) | <0.001 |
| Married | 180 (36.0%) | 80 (44.4%) | 36 (20.0%) | 64 (35.6%) | 0.003 |
| Divorced | 11 (2.2%) | 3 (27.3%) | 2 (18.2%) | 6 (54.5%) | 0.14 |
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| Religious status | |||||
| Christians | 376 (75.2%) | 167 (44.4%) | 105 (27.9%) | 104 (27.7%) | 0.957 |
| Muslims | 97 (19.4%) | 41 (42.3%) | 26 (26.8%) | 30 (30.9%) | 0.774 |
| Traditionalists | 27 (5.4%) | 13 (48.1%) | 8 (29.6%) | 6 (22.3%) | 0.475 |
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| Educational background | |||||
| None | 69 (13.8%) | 29 (42.0%) | 30 (43.5%) | 10 (14.5%) | 0.002 |
| Basic | 76 (15.2%) | 37 (48.7%) | 12 (15.8%) | 27 (35.3%) | 0.032 |
| Secondary | 207 (41.4%) | 95 (45.9%) | 38 (18.4%) | 74 (35.7%) | <0.001 |
| Tertiary | 148 (29.6) | 60 (40.5%) | 59 (39.9%) | 29 (19.6%) | <0.001 |
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| Occupational status | |||||
| Unemployed | 6 (1.2%) | 2 (33.3%) | 4 (66.7%) | 0.078 | |
| Informal | 217 (43.4%) | 93 (42.9%) | 58 (26.7%) | 66 (30.4%) | 0.573 |
| Formal | 64 (12.8%) | 28 (43.8%) | 9 (14.1%) | 27 (42.2%) | 0.001 |
| Student | 213 (42.6%) | 98 (46.0%) | 72 (33.8%) | 43 (20.2%) | 0.342 |
| SBP (mmHg) | 114.64 ± 6.52 | 114.34 ± 5.97 | 115.54 ± 7.34 | 114.21 ± 6.47 | 0.158 |
| DBP (mmHg) | 75.38 ± 5.38 | 75.57 ± 5.16 | 75.61 ± 5.66 | 74.86 ± 5.43 | 0.398 |
| IPTH (pg/ml) | 7.12 (6.24–8.67) | 7.02 (5.95–8.77) | 7.30 (6.33–8.67) | 7.35 (6.38–8.62) | 0.409 |
| VDBP (ng/ml) | 26.38 (8.46–53.23) | 27.90 (8.38–61.67) | 21.57 (7.97–46.22) | 28.37 (9.90–28.77) | 0.035 |
| Corrected calcium (mmol/l) | 2.20 ± 0.19 | 2.20 ± 0.19 | 2.17 ± 0.17 | 2.21 ± 0.20 | 0.166 |
| Phosphorus (mmol/l) | 1.30 ± 0.17 | 1.31 ± 0.18 | 1.28 ± 0.13 | 1.32 ± 0.18 | 0.143 |
| Albumin (g/dl) | 43.09 ± 2.90 | 43.27 ± 3.22 | 42.86 ± 2.62 | 43.04 ± 2.81 | 0.410 |
| Creatinine (mmol/l) | 99.52 ± 28.08 | 101.34 ± 29.18 | 94.92 ± 21.60 | 101.22 ± 31.45 | 0.075 |
P value <0.05 = statistically significant, SD = standard deviation, NS = Northern Sector, MB = Middle Belt, SS = Southern Sector, SBP = systolic blood pressure, DBP = diastolic blood pressure, IPTH = intact parathyroid hormone, and VDBP = vitamin D binding protein.
Figure 1(a) Kruskal–Wallis test was used to compare the median of 25-hydroxyvitamin D serum levels among participants. (b) Prevalence of vitamin D deficiency among study participants. P value <0.05 is statistically significant, NS = Northern Sector, MB = Middle Belt, and SS = Southern Sector. P value for (a) is for across all the groups, other factors such as hemodynamics, biochemistry parameters, age, and weight were adjusted.
Correlation analysis of 25-hydroxyvitamin D against weight, blood pressure, and certain biochemical parameters among study participants.
| Vitamin D 25(OH)D (ng/ml) | |||
|---|---|---|---|
| Pearson correlation ( |
|
| |
| VDBP (ng/ml) | −0.421 | <0.001 | 500 |
| (IPTH) (pg/ml) | −0.568 | <0.001 | 500 |
| Corrected ionized calcium (mmol/l) | 0.622 | <0.001 | 500 |
| Phosphorous (mmol/l) | 0.199 | 0.102 | 500 |
| Albumin (g/dl) | 0.110 | 0.114 | 500 |
| Creatinine (mmol/l) | 0.057 | 0.205 | 500 |
| IL 10 (pg/ml) | 0.575 | <0.001 | 500 |
| TNF-alpha (pg/ml) | −0.300 | <0.001 | 500 |
| IFN-gamma (pg/ml) | −0.356 | <0.001 | 500 |
| Body weight (kg) | −0.012 | 0.786 | 500 |
| DBP (mm/Hg) | 0.037 | 0.414 | 500 |
| SBP (mm/Hg) | −0.092 | 0.039 | 500 |
| Age | 0.043 | 0.337 | 500 |
P value <0.05 = statistically significant, SBP = systolic blood pressure, DBP = diastolic blood pressure, IPTH = intact parathyroid hormone, VDBP = vitamin D binding protein, IL-10 = interleukin-10, TNF-alpha = tumor necrosis factor-alpha, and IFN-gamma = interferon-gamma.
Binary logistic regression analysis predicted the odds ratio for risk factors of vitamin D deficiency among study participants.
| Variables | Frequency ( | Univariate (95% CI) |
| Multivariate (95% CI) |
|
|---|---|---|---|---|---|
| Knowledge of vit D foods | |||||
| Yes | 32 | Referent | Referent | ||
| No | 468 | 2.93 (0.15–0.80) | 0.014 | 4.39 (1.69–11.44) | 0.002 |
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| Milk intake | |||||
| Not taken | 68 | Referent | Referent | ||
| Daily | 31 | 0.49 (0.28–0.84) | 0.009 | 1.77 (0.92–3.14) | 0.088 |
| Weekly | 152 | 0.94 (0.41–2.22) | 0.824 | 2.63 (1.05–6.59) | 0.040 |
| Monthly | 249 | 0.95 (0.41–2.22) | 0.902 | 2.11 (1.29–3.47) | 0.003 |
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| Salmon (oily fish) | |||||
| Not taken | — | — | |||
| Daily | 185 | Referent | Referent | ||
| Weekly | 221 | 2.08 (1.38–3.12) | <0.001 | 1.78 (1.09–2.90) | 0.022 |
| Monthly | 94 | 2.43 (1.46–4.04) | 0.001 | 1.96 (1.06–3.64) | 0.032 |
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| Fruit/vegetable intake | |||||
| Not taken | — | — | |||
| Daily | 50 | Referent | Referent | ||
| Weekly | 254 | 2.12 (1.01–4.44) | 0.046 | 2.45 (1.10–5.43) | 0.028 |
| Monthly | 196 | 6.32 (2.98–13.37) | <0.001 | 7.02 (3.08–16.05) | <0.001 |
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| Interleukin-10 | |||||
| Normal (<10 pg/mL) | 419 | Referent | Referent | ||
| High (≥10 pg/mL) | 81 | 3.47 (1.97–6.13) | <0.001 | 3.15 (1.65–6.01) | <0.001 |
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| Interferon-gamma | |||||
| Normal (<8 pg/mL) | 155 | Referent | Referent | ||
| High (≥8 pg/mL) | 345 | 13.10 (8.53–20.12) | 0.001 | 10.77 (6.08–19.06) | <0.001 |
P value <0.05 = statistically significant; vit D = vitamin D; for multivariate analysis all other factors such as hemodynamics, biochemistry parameters, age, and weight were adjusted.