Table I Socio-demographic attributes,...

Table I

Socio-demographic attributes, nutrition label outcomes and indicator food intakes of Thai cohort in 2013

Attributes	n^a	%^b	Attributes	n^a	%^b
Sex			Household size (people)
Male	19,295	45.1	1	2,513	6.0
Female	23,455	54.9	2-4	26,306	62.4
Age group (years)			5-15	13,350	31.7
23-34	12,127	28.4	Education
35-49	23,984	56.1	Non university	8,603	20.2
⩾50	6,639	15.5	University	33,925	79.8
Location			Occupation
Rural	18,913	44.7	Worker	8,044	18.9
Urban	23,434	55.3	Manager	6,023	14.2
Region			Professional	11,228	26.4
Central-East	13,107	30.7	Office assistant	13,068	30.8
Bangkok	6,741	15.8	Not working/retired	2,757	6.49
North	8,580	20.1	Unidentified	1,370	3.22
Northeast	8,954	21.0	Monthly income (baht)
South	5,368	12.6	<10,000	9,378	22.2
Religion^c			10,001-20,000	15,831	37.4
Buddhist	40,293	94.6	20,001-30,000	9,234	21.8
Muslim	1,491	3.5	>30,000	7,853	18.6
Christian	746	1.8
Other/none	72	0.2
Nutrition label outcomes				n^a	%^b
Nutrition labels on food?				37,914	89.0
Read				4,708	11.1
Not read
Understand the information on “nutrition labels”				29,452	69.5
Good				12,917	30.5
Not good
Use nutrition labels to assist food purchasing?
Frequent use				27,457	64.4
Infrequent use				15,173	35.6
Like to see additional nutrition labelling on foods?
Yes				40,296	96.4
No				418	1.0
Not sure				1,076	2.6

Frequent consumption of indicator foods (⩾3 times/week)				n^a	%^b
Instant foods				2,966	7.0
Soft drinks				6,169	14.6
Sweet drinks				17,277	40.7
Milk				19,307	45.5

Notes: n=42,750. ^aSample size may not add to 42,750 due to missing data (0.3-1.1 per cent of variables had missing values); ^bsome percentages may not equal 100 due to rounding; ^cinformation on religion obtained from the 2005 TCS baseline survey

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Attributes	n^a	%^b	Attributes	n^a	%^b
Sex			Household size (people)
Male	19,295	45.1	1	2,513	6.0
Female	23,455	54.9	2-4	26,306	62.4
Age group (years)			5-15	13,350	31.7
23-34	12,127	28.4	Education
35-49	23,984	56.1	Non university	8,603	20.2
⩾50	6,639	15.5	University	33,925	79.8
Location			Occupation
Rural	18,913	44.7	Worker	8,044	18.9
Urban	23,434	55.3	Manager	6,023	14.2
Region			Professional	11,228	26.4
Central-East	13,107	30.7	Office assistant	13,068	30.8
Bangkok	6,741	15.8	Not working/retired	2,757	6.49
North	8,580	20.1	Unidentified	1,370	3.22
Northeast	8,954	21.0	Monthly income (baht)
South	5,368	12.6	<10,000	9,378	22.2
Religion^c			10,001-20,000	15,831	37.4
Buddhist	40,293	94.6	20,001-30,000	9,234	21.8
Muslim	1,491	3.5	>30,000	7,853	18.6
Christian	746	1.8
Other/none	72	0.2
Nutrition label outcomes				n^a	%^b
Nutrition labels on food?				37,914	89.0
Read				4,708	11.1
Not read
Understand the information on “nutrition labels”				29,452	69.5
Good				12,917	30.5
Not good
Use nutrition labels to assist food purchasing?
Frequent use				27,457	64.4
Infrequent use				15,173	35.6
Like to see additional nutrition labelling on foods?
Yes				40,296	96.4
No				418	1.0
Not sure				1,076	2.6

Frequent consumption of indicator foods (⩾3 times/week)				n^a	%^b
Instant foods				2,966	7.0
Soft drinks				6,169	14.6
Sweet drinks				17,277	40.7
Milk				19,307	45.5

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