| Literature DB >> 35497056 |
Keila Valente de Souza de Santana1, Sofia Lizarralde Oliver2, Marcela Moraes Mendes3, Susan Lanham-New3, Karen E Charlton4, Helena Ribeiro2.
Abstract
Background: Vitamin D deficiency has been documented to be prevalent, even in low latitude regions; and this may be related to sun exposure behaviors. The aim of the current study was to assess the association between serum 25-hydroxyvitamin D [25(OH)D] concentrations and lifestyle-related factors in a sample of Brazilian women living at latitude 21º 8' S.Entities:
Keywords: Lifestyle; Ultraviolet radiation; Vitamin D; Women
Year: 2022 PMID: 35497056 PMCID: PMC9043392 DOI: 10.1016/j.eclinm.2022.101400
Source DB: PubMed Journal: EClinicalMedicine ISSN: 2589-5370
Classification of IPAQ according to categories
| Vigorous activity | |
| Vigorous activity | |
| Vigorous activity | |
| Moderate activity or walking | |
| Any activity added together (walking + moderate + vigorous) | |
Characteristics of female residents of Araraquara (SP – Brazil) stratified by age group (>50 or ≤50 years)
| Parameters | Total | Age (years) | P value ² | |
|---|---|---|---|---|
| 35 – 50 (n=50) | 51 – 72 (n=51) | |||
| Serum 25(OH)D (nmol/L) | 64±15 | 60±14 | 67±16 | 0·01 |
| BMI | 27±4 | 28±5 | 26±4 | 0·005 |
| Waist circumference (cm) | 93 ± 12 | 94±13 | 91±10 | 0·06 |
| Ultraviolet radiation (UVR) | 1·8 (1·3 – 2·7) | 1·6 (1 – 2·5) | 2·2 (1·4 – 3·1) | 0·01ª |
| Vitamin D intake (µg/day) | 3·5 (1·9 – 4·7) | 3·4 (1·8 – 4·4) | 3·8 (2 – 5) | 0·12 |
| Calcium intake (mg/day) | 604 (412 – 801) | 590 (400 – 725) | 640 (429 – 851) | 0·23 |
| Sunbathing (n/year) | 3 (0 – 10) | 4 (0 – 10) | 2 (0 – 9·5) | 0·21ª |
| Distress score | 2 (0 – 7) | 2·5 (0 – 9) | 2 (0 – 6) | 0·12ª |
¹Values: mean ± SD or median (25⁰,75⁰ percentile). ²Statistical analysis: independent t – test, unless otherwise indicated; Mann – Whitney Uª.
Dose of exposure to ultraviolet radiation (UVR) of the Brazilian participants from Araraquara (SP) according to vitamin D status, lifestyle behaviors and distress groups.
| Variable | Class | Median (IQR)Ɓ | P – value¹ |
|---|---|---|---|
| Vitamin D insufficiency | Yes | 1·33 (0·77 – 1·47) | <0·001 |
| No | 2·11 (1·34 – 2·87) | ||
| Postmenopausal | Yes | 2·15 (1·37 – 3·08) | 0·01 |
| No | 1·6 (0·93 – 2·45) | ||
| Overweight ² | Yes | 1·46 (0·94 – 2·47) | 0·006 |
| No | 2·19 (1·6 – 3·11) | ||
| Smoking | Yes | 2·12 (1·24 – 2·6) | 0·37 |
| No | 1·77 (1·25 – 2·65) | ||
| Consumption of alcoholic beverages | Yes | 1·44 (0·84 – 2·4) | 0·04 |
| No | 2·06 (1·36 – 2·66) | ||
| Sunbathing³ | Yes | 1·76 (1·02 – 2·13) | 0·72 |
| No | 1·75 (1·14 – 2·6) | ||
| Distress groups (GHQ) | High | 1·75 (0·88 – 2·65) | 0·23 |
| Low | 1·82 (1·31 – 2·63) | ||
| Skin color (self-determined) | White | 1·88 (1·32 – 2·7) | 0·29 |
| Brown or Black | 1·74 (0·85 – 2·6) | ||
| Physical Activities | Very active | 2·17 (1·55 – 2·99) | 0·2 |
| Active | 1·81 (1·13 – 2·6) | ||
| Sedentary | 1·47 (0·98 – 2·47) | ||
| Occupational groups | Beauty and Health | 1·39 (0·95 – 1·76) | <0·001 |
| Education | 2·05 (1·24 – 2·47) | ||
| Administrative | 1·54 (0·83 – 2·06) | ||
| Housewife | 2·77 (1·91 – 4·33) | ||
| Others | 2·92 (1·9 – 4·2) |
Statistical analysis: ¹ Mann – Whitney and Kruskal – Wallis test. ² Overweight is BMI >25 or women over 60 with BMI >27. ³Sunbathing was taking a sunbath at least 20 times in the previous year or so. Ɓ interquartile range (IQR).
25-Hydroxyvitamin D concentration of the Brazilian participants from Araraquara (SP) according to health risk factors and lifestyle behaviors.
| Variable | Class | n (%) | Mean±SD | IC 95% | P – value¹ |
|---|---|---|---|---|---|
| Postmenopausal | Yes | 45 (45) | 69±16 | 65 – 73 | <0·001 |
| No | 55 (55) | 58±13 | 54 – 62 | ||
| Overweight ª | Yes | 59 | 60±15 | 56 – 63 | <0·001 |
| No | 42 | 70±14 | 66 – 74 | ||
| Skin Color | White | 74 (73) | 66±15 | 63 – 70 | 0·008 |
| Brown or Black | 27 (27) | 58±15 | 52 – 64 | ||
| Ultraviolet Radiation | ≥ 2 sed | 45 | 70±14 | 66 – 74 | <0·001 |
| < 2 sed | 51 | 59±15 | 55 – 63 | ||
| Distress group (GHQ) | High | 41 (41) | 58±16 | 54 – 63 | 0·001 |
| Low | 60 (59) | 68±1 | 64 – 71 | ||
| Smoking | Yes | 26 (26) | 60±18 | 53 – 68 | 0·26 |
| No | 75 (74) | 65±14 | 63 – 68 | ||
| Consumption of alcoholic beverages | Yes | 34 (34) | 66±17 | 60 – 72 | 0·29 |
| No | 67 (66) | 63±15 | 59 – 66 | ||
| Sunscreen daily | Yes | 52 (52) | 63±17 | 58 – 68 | 0·28 |
| No | 48 (48) | 65±14 | 61 – 69 | ||
| Sunbathing ≥ 20 times in the last year or so | Yes | 12 (14) | 66±17 | 60 – 72 | 0·09 |
| No | 76 (86) | 63±15 | 59 – 66 | ||
| Physical Activity level | Very Active | 26 (26) | 66±13 | 61 – 72 | 0·51 |
| Active | 50 (50) | 64±16 | 59 – 68 | ||
| Sedentary | 25 (25) | 61±16 | 52 – 68 | ||
| Occupation | Beauty and Health | 21 (21) | 59±16 | 52 – 67 | 0·68 |
| Education | 19 (19) | 66±13 | 60 – 72 | ||
| Administrative | 26 (6) | 65±18 | 58 – 72 | ||
| Housewife | 19 (19) | 65±14 | 59 – 72 | ||
| Others | 16 (6) | 64±15 | 56 – 72 |
Statistical Analysis: ¹ independent t – test; ² analysis of variance (Anova). ª Overweight is BMI >25 or women over 60 with BMI >27.
Participants' parameters by vitamin D status
| Parameters | 25(OH) in nmol/L | P value² | ||
|---|---|---|---|---|
| 25 – 49,99 (n=16) | 50 – 74,99 (n=58) | >75 (n=27) | ||
| Serum 25(OH)D (nmol/L) | 41±6 | 61±6 | 83±8 | <0·0013 |
| Age (years) | 46 (39 – 57) | 50 (42 – 57) | 56 (47 – 61) | 0·07 |
| BMI (kg.m2) | 28·4 ± 4·8 a | 27·1 ± 4·5 | 24·9 ± 3·3a | 0·023 |
| Waist Circumference (cm) | 94·2±10·5 | 94·2±12·9 | 87·7±9·5 | 0·053 |
| Ultraviolet Radiation (UVR) | 1·3 (0·8 – 1·5) a | 1·8 (1·4 – 2·7) a | 2·2 (1·5 – 3·1) a | 0·007 |
| Vitamin D intake (µg/day) | 2·9 (2·2 – 4·2) | 3·9 (2·3 – 4·9) | 2·9 (1·8 – 4) | 0·23 |
| Calcium Intake (mg/day) | 554 (469 – 669) | 654 (362 – 886) | 604 (437 – 713) | 0·53 |
| Sunbathing (times in the last year) | 3 (1 – 7) | 3(0 – 10) | 3(0 –10) | 0·1 |
| Distress score | 6·5 (1·8 – 10) a | 2(1 – 7) | 1 (0 – 3·5) a | 0·03 |
¹Values: mean ± SD or median (25⁰,75⁰ percentile). ²Statistical analysis: Kruskal – Wallis, unless otherwise stated; 3Anova. Values in the same row with the same superscript letters are significantly different (p <0·05).
Figure 1Scatterplot diagram with correlation line between the independent variables (Age, Distress score, BMI and RUV) and the dependent variable 25 (OH)D concentration of the Brazilian participants.