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Table 5 Univariate association between social and demographic factors and plate wastage

From: Does plate waste matter?: A two-stage cluster survey to assess the household plate waste in the Philippines

Top 3 Wasted food

Characteristics

Rice

p-value

Vegetable

p-value

Fish, meat, & poultry

p-value

 

No rice waste

Had rice waste

 

No vegetable waste

Had vegetable waste

 

No meat waste

Had meat waste

 

n (Column %)

n (Column %)

 

n (Column %)

n (Column %)

 

n (Column %)

n (Column %)

 

All

12,373 (61.4)

7,778 (38.6)

 

17,955 (89.1)

2,196 (10.9)

 

18,571 (92.1)

1,580 (7.8)

 

Household head characteristics

Age group

 18–29 years old

876 (7.1)

416 5.3)

0.005*

1,183 (6.6)

109 (5)

0.112NS

1,213 (6.5)

79 (5)

0.217NS

 30–49 years old

5,612 (45.4)

3,349 (43)

 

8,017 (44.6)

944 (43)

 

8,303 (44.7)

658 (41.7)

 

 50–69 years old

4,713 (38.1)

3,269 (42)

 

7,029 (39.1)

953 (43.4)

 

7,291 (39.3)

692 (43.8)

 

 70 + years old

1173 (9.5)

744 (9.6)

 

1,725(9.6)

190 (8.7)

 

1,766 (9.5)

150 (9.5)

 

Sex

 Male

9,292 (75.1)

6,143 (79)

 < 0.001*

13,724 (76.4)

1,711 (77.9)

0.419NS

14,252 (76.7)

1,184(75)

0.256NS

 Female

3,081 (24.9)

1,635 (21)

 

4,230 (23.6)

486 (22.1)

 

4,320 (23.3)

396 (25)

 

Educational attainment

 No Grade Completed

265 (2.1)

151 (1.9)

0.013*

370 (2.1)

46 (2.1)

0.192NS

403 (2.2)

12 (0.8)

0.001*

 At Least Elementary Level

4,181 (33.8)

2,925 (37.6)

 

6,417 (35.7)

688 (35.7)

 

6,661 (35.9)

445 (28.1)

 

 At Least High School Level

5,451 (44.1)

3,377 (43.4)

 

7,799 (43.4)

1,028 (46.8)

 

8,077 (43.5)

752 (47.6)

 

 At Least College Level

2,419 (19.5)

1,311 (16.9)

 

3,302 (18.4)

429 (19.5)

 

3,361 (18.1)

369 (23.3)

 

 Others (SPED, Arabic, etc.)

57 (0.5)

14 (0.2)

 

65 (0.4)

5 (0.2)

 

69 (0.4)

2 (0.1)

 

Household size

  ≤ 5 members

8,331 (67.3)

4,966 (63.8)

0.003*

11,981 (66.7)

1,317(60)

 < 0.001*

12,209 (65.7)

1,089 (68.9)

0.199NS

  > 5 members

4,042 (32.7)

2,813 (36.2)

 

5,973 (33.3)

880 (40)

 

6,362 (34.3)

491 (31.1)

 

Type of residence

 Rural

6,415 (51.8)

4,945 (63.6)

 < 0.001*

10,160 (56.6)

1,200 (54.6)

0.527NS

10,599 (57.1)

761(48.2)

0.122NS

 Urban

5,957 (48.2)

2,833 (36.2)

 

7,794 (43.4)

996 (45.4)

 

7,973 (42.9)

819 (51.8)

 

Wealth quintile

 Poorest

2,602 (21)

1,679 (21.6)

0.507NS

3,903 (21.7)

379 (17.3)

0.005*

4,099 (22.1)

182 (11.5)

 < 0.001*

 Poor

2,748 (22.2)

1,770 (22.8)

 

4,065 (22.6)

453 (20.6)

 

4,240 (22.8)

278 (17.6)

 

 Middle

2,518 (20.3)

1,628 (20.9)

 

3,726 (20.7)

420 (19.1)

 

3,822 (20.6)

323 (20.5)

 

 Rich

2,378 (19.2)

1,510 (19.4)

 

3,399 (18.9)

489 (22.2)

 

3,486 (18.8)

403 (25.5)

 

 Richest

2,128 (17.2)

1,192 (15.3)

 

2,864 (15.9)

455 (20.7)

 

2,925 (15.7)

395 (25)

 

Household food security

 Food Secure

5,761 (46.6)

3,273 (42.1)

0.006*

8,008 (44.6)

1,026 (46.7)

0.355NS

8,190 (44.1)

843 (53.4)

0.010*

 Mild Food Insecure

1,402 (11.3)

1,131 (14.5)

 

2,243 (12.5)

290 (13.2)

 

2,329 (12.5)

205 (13)

 

 Moderate Food Insecure

3,560 (28.8)

2,435 (31.3)

 

5,368 (29.9)

626 (28.5)

 

5,603 (30.2)

391 (24.7)

 

 Severe Food Insecure

1,651 (13.3)

940 (12.1)

 

2,336 (13)

255 (11.6)

 

2,450 (13.2)

141 (8.9)

 
  1. n (Column %) were the weighted n and percentages of household
  2. *significant at 5% level of significance using Chi-square test for associationÂ