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. 2022 Feb 16;9:806459. doi: 10.3389/fnut.2022.806459

Table 2.

Main characteristics of included studies examined the relation between serum vitamin D levels and abdominal obesity in children and adolescents.

References Study design/name study Country latitude, °N Age range/
Mean age
Sex No. Participants 25 (OH)D Levels, nmol/L OR, (95% CI) Method (Exposure) Definition (Outcome) Subject Adjustment
Tang et al. (15) Cross-sectional (survey of a school-based interventional project) South China 7–18/10 Both 2,112 <16.19 ng/ml
16.20–19.74
19.75–22.99
≥23
1.26 (0.87–1.83)
1.08 (0.74–1.58)
0.98 (0.67–1.44)
1(Ref)
EIA WC > 90th percentile for age and gender Chinese children and adolescents 1–7
Xiao et al. (25) Cross-sectional China 6–18 Boys 3,057 <30 nmol/l
30–50
≥50
0.78 (0.49–1.23)
1.11 (0.76–1.64)
1(Ref)
CLIA WHtR ≥ 0.50 children and adolescents 1, 3, 8–15
Girls 3,034 <30 nmol/l
30–50
≥50
1.22 (0.80–1.86)
1.15 (0.78–1.69)
1(Ref)
Fu et al. (9) Cross-sectional (NHANES 2001–2006) USA 6–18/12.8 Both 6,260 <30 nmol/l
30–50
>50
3·38 (2·60–4·39)
2·28 (1·93–2·68)
1(Ref)
RIA WC ≥ 90th percentile US children 2, 1, 11, 16–20
Kim et al. (15) Cross-sectional (KNHANES 2010–2014) Korea 12–18/15.14 ± 0.3 Both 2,314 ≤ 20 ng/ml
>20
1.08 (0.58–2.02)
1(Ref)
NR WC ≥ 90th percentile (if ≥16 years, boys ≥90 cm, girls ≥ 85 cm) Korean adolescents 1–3, 9, 20–24
Cabral et al. (14) Cross-sectional (EPITeen 2003–2004) Portugal 13 Both 514 <13.0 ng/ml
13.0–16.0
17.0–20.0
>20.0
1.26 (0.48–3.29)
1.03 (0.36–2.89)
1.64 (0.58–4.50)
1(Ref)
CLIA WC ≥ 75th percentile for age and gender Adolecsents 2, 3, 8, 13, 25
Cediel et al. (8) Cross-sectional (GOCS) Santiago, Chile 8.0 ± 1.3

6.3 ± 0.6
Boys

Girls
203

232
<30 ng/ml
≥30
<30 ng/ml
≥30
2.2 (1.2–4.0)
1(Ref)
2.4 (1.4–4.3)
1(Ref)
IA WC ≥ 75th percentile (NHANES III percentiles Mexican–Children: cut-off ≥75th percentile in girls at 6 years: 60.4 cm; and boys at 8 years: 66.2 cm) Prepubertal chilean children 1, 8
Al-Daghri et al. (26) Cross-sectional Riyadh, Saudi Arabia 12–17/14.3 Boys 1,906 <25 nmol/l
25–50
≥50
1.30 (0.49–3.43)
1.55 (0.73–3.31)
1(Ref)
CLIA WHtR > 0.56 Apparently healthy Saudi school students
Girls 2,277 <25 nmol/l
25–50
≥50
1.45 (0.66–3.19)
1.19 (0.54–2.65)
1(Ref)
Al-Daghri et al. (27) Cross-sectional Riyadh, Saudi Arabia 13–17/15.1 Boys 1,187 <25 nmol/l
25–49.9
>50
(0.32–3.10)
2.75 (1.1–7.1)
1(Ref)
IA WC > 90th percentile (>92 cm for boys and >86 cm for Girls) Saudi adolescents 1, 13, 26–30
Girls 1,038 <25 nmol/l
25–49.9
>50
1.31 (0.38–4.45)
1.27 (0.36–4.42)
1(Ref)
De Piero Belmonte et al. (28) Cross-sectional Spain 8–13/10.7 ± 1.0 Both 314 4.0–19.4 ng/mL
19.5–25.3
25.4–55.5
1(Ref)
1.14 (0.63–2.05)
0.77 (0.56–1.07)
CLIA WC ≥ 90th percentile Spanish school-children 1, 2
Jari et al. (29) Cross-sectional (CASPIAN-III study) 27 provinces in Iran 10–18 Boys 568 <10 ng/ml
10–30
≥30
1.07 (0.55, 2.05)
(0.56–2.14)
1(Ref)
CLIA WHtR >0.5 Students 1, 9
Girls 527 <10 ng/ml
10–30
≥30
0.69 (0.35, 1.35)
0.91 (0.48, 1.74)
1(Ref)
Nam et al. (18) Cross-sectional (KNHANES 2008–2009) South Korea 12–18/ Both 1,504 ≤ 50 nmol/l
>50
2.05 (1.20-3.49)
1(Ref)
RIA WC ≥ 90th percentile for age and gender Adolecsents 1–3, 11, 31
Lee et al. (22) Cross-sectional (Ewha Birth and Growth Cohort study 2001–2006) Korea 7–9/7.89 Both 205 Per 1 ng/mL increase of 25(OH)D 0.87 (0.75–1.01) RIA WC ≥ 90th percentile Preadolescent children 1, 2, 25, 32, 33
Lee et al. (7) Cross-sectional (KMOSES) 2006–2010) South Korea 9 Both 1,649 <15.5 ng/ml
15.5–18.3
18.4–21.6
>21.6
2.96 (1.75–5.00)
2.32 (1.36–3.95)
2.08 (1.20–3.60)
1(Ref)
CLIA WC > 90th percentile for age and gender Children 13
Pacifico et al. (30) Cross-sectional Rome, Italy 11.2 Both 452 <17.0 ng/ml
17.0–27.0
>27
1.98 (0.83–4.73)
1.20 (0.75–1.91)
1(Ref)
ECLIA WC ≥ 90th percentile for age and gender Caucasian children and adolescents 1, 2, 13, 34

Ref, reference; WC, waist circumference; IA, immunoassay; CLIA, chemiluminescent immunoassay; EIA, enzyme-immunosorbent assay; RIA, radioimmunoassay; ECLIA, electrochemiluminescence immunoassay; NHANES, national health and nutrition examination surveys; EPITeen, epidemiological health investigation of teenagers; KNHANES, Korea national health and nutrition examination survey; GOCS, growth and obesity Chilean cohort study; CASPIAN, childhood and adolescence surveillance and prevention of adult noncommunicable disease; KMOSES, Korean metabolic disorders and obesity study in elementary school Childre; WHtR, waist to height ratio. Adjustments: 1, Age; 2, sex; 3, physical activity; 3, sun exposure time; 4, screen time; 5, intake of fruit; 6, intake vegetables; 7, intake of meat products; 8, season of blood collection; 9, geographical location; 10, smoking; 11, drinking; 12, dietary vitamin D intake; 13, Body mass index (BMI); 14, fat mass percentage (FMP); 15, muscle mass index (MMI); 16, cotinine concentration; 17, race; 18, ethnicity; 19,poverty; 20, income ratio; 21, self-perceived health status; 22, self-perceived stress status; 23, family history of chronic disease; 24, sleep; 25, parental education; 26, glucose; 27, total cholesterol; 28, triglycerides; 29, High-density lipoproteins cholesterol (HDL-c); 30, Low- density lipoproteins cholesterol (LDL-c); 31, use of multivitamin or mineral supplement; 32, birth order; 33,fruit/fruit juice intake; 34,Tanner stage.