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. 2023 Oct 19;23:2046. doi: 10.1186/s12889-023-16984-y

Table 1.

Descriptive statistics for individual factors and their association with food insecurity levels

INDIVIDUAL FACTORS All
(n = 326)
No/mild (n = 77) Moderate (n = 152) Severe (n = 97) P-value
n (%)
Demographic factors

Age of adolescents

(Mean ± SD: 14.5 ± 1.8)

Early adolescence (12–14 years) 168 (51.5) 35 (45.5) 72 (47.4) 61 (62.9) 0.027
Late adolescence (15–18 years) 158 (48.5) 42 (54.5) 80 (52.6) 36 (37.1)
Adolescent sex Female 203 (62.3) 39 (50.6) 103 (67.8) 61 (62.9) 0.041
Male 123 (37.7) 38 (49.4) 49 (32.2) 36 (37.1)
Education level None/some primary(1–5) 161 (49.4) 39 (50.6) 61 (40.1) 61 (62.9) 0.002
Some secondary (6–12) 165 (50.6) 38 (49.4) 91 (59.9) 36 (37.1)
School enrollment Enrolled 286 (87.7) 63 (81.8) 139 (91.4) 84 (86.6) 0.102
Not enrolled 40 (12.3) 14 (18.2) 13 (8.6) 13 (13.4)
Adolescent work status Not working 290 (92.6) 64 (81.8) 144 (94.7) 94 (96.9) 0.001
Working 23 (7.4) 14 (18.2) 8 (5.3) 3 (3.1)
COVID19 infection No 303 (92.6) 72 (97.4) 145 (95.4) 86 (88.7) 0.126
history Yes 23 (7.1) 5 (6.5) 7 (4.6) 11 (11.3)
Coping strategy factors
Stopped school due to lack of food/money No 260 (79.8) 67 (87.0) 132 (86.8) 61 (62.9) < 0.001
Yes 66 (20.2) 10 (13.0) 20 (13.2) 36 (37.1)
Food seeking 1st tertile (0–4) 108 (33.1) 35 (45.5) 60 (39.5) 13 (13.4) < 0.001
strategies 2nd tertile (5–6) 138 (42.3) 24 (31.2) 67 (44.1) 47 (48.5)
3rd tertile (6–14) 80 (24.6) 18 (23.3) 25 (16.4) 37 (38.1)
Smoking cigarettes last month Yes 20 (6.1) 5 (6.5) 6 (3.9) 9 (9.3) 0.229
No 306 (93.9) 72 (93.5) 146 (96.1) 88 (90.7)
Marijuana last month Yes 32 (9.8) 10 (13.0) 13 (8.6) 9 (9.3) 0.554
No 294 (90.2) 67 (87.0) 139 (91.4) 88 (90.7)
No.of substance Two or more 7 (2.1) 0 (0.0) 2 (1.3) 5 (5.1) 0.033
used last month At least one 41 (12.6) 15 (19.5) 17 (11.2) 9 (9.3)

(Mean ± SD:

0.16 ± 0.409)

None 278 (85.3) 62 (80.5) 133 (87.5) 83 (85.6)

Abbreviations: SD – Standard deviation