Physical activity and food habits are associated with television time on weekends in Brazilian workers

Christofoletti, Marina; Duca, Giovani Firpo Del; Gerage, Aline Mendes; Konrad, Lisandra Maria; Oliveira, Elusa Santina Antunes de; Barros, Mauro Virgílio Gomes de; Nahas, Markus Vinicius

doi:10.1590/S1980-6574201900020019

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Brasil

Motriz: Revista de Educação Física

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ORIGINAL ARTICLE (SHORT PAPER) • Motriz: rev. educ. fis. 25 (2) • 2019 • https://doi.org/10.1590/S1980-6574201900020019 copy

Physical activity and food habits are associated with television time on weekends in Brazilian workers

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract

Aims:

Investigated the relation between eating habits or physical activity and weekend television viewing time, regardless of weekday television viewing in Brazilian workers.

Methods:

A representative cross-sectional study was conducted to measure the relation between weekend television viewing time and dietary indicators and physical activity across different domains in 47,477 workers. A questionnaire measured the time spent watching television per day on the weekend, physical activity indicators across different domains and eating habits. Absolute and relative frequencies and multinomial logistic regression adjusted were used to describe and identify the relationship between time spent watching television on the weekend and physical activity indicators or eating habits.

Results:

Workers who were physically active in the household (OR=1.09 [95%CI=1.04; 1.15] and OR=1.11 [95%CI=1.06; 1.16]) and leisure-time domains (OR=1.28 [95%CI=1.22; 1.35] and OR=1.30 [95%CI=1.24; 1.36]) were more likely to watch television ≥ 2 and ≥ 4 hours on a weekend day, respectively, than those watching television ≤ 1 hour/day. Consuming sweets (OR=1.30 [95%CI=1.22; 1.39]) and soft drinks (OR=1.11 [95%CI=1.03; 1.19]) was related to television watching ≥ 4 hours on a weekend day. However, workers who consumed fruits (OR=0.81 [95%CI=0.76; 0.85]) and vegetables (OR=0.91 [95%CI=0.86; 0.96]) daily were less likely to spend ≥ 4 hours watching television on a weekend day.

Conclusion:

We conclude that increased television viewing time on weekends, regardless of weekday television time, is related to leisure-time and household physical activity and with unhealthy eating habits in workers. Interventions focusing on the leisure-time may be an important alternative for health promotion in workplaces.

Keywords:
sedentary behavior; motor activity; food habits; occupational health; cross-sectional studies

Variable	n	%	% Missing
Television viewing on weekends (hours/day)			0.7
≤ 1	15,297	32.4
2-3	14,030	29.8
≥ 4	17,820	37.8
Television viewing on weekdays (hours/day)			0.8
≤ 1	6,976	14.8
2-3	26,900	57.1
≥ 4	13,245	28.1
Physical activity for commuting (≥ 1 day/week)			0.4
No	34,436	72.8
Yes	12,852	27.2
Physical activity in the household (≥ 1 day/week)			5.8
No	16,791	37.5
Yes	27,941	62.5
Physical activity in leisure-time (≥ 1 day/week)			0.7
No	21,392	45.4
Yes	25,740	54.6
Physical activity at work (≥ 1 day/week)			0.6
No	16,660	35.3
Yes	30,542	64.7
Consumption of sweets (≥ 1 day/week)			0.5
No	8,234	17.4
Yes	39,009	82.6
Consumption of soft drinks (≥ 1 day/week)			0.5
No	5,974	12.6
Yes	41,286	87.4
Consumption of snacks (≥ 1 day/week)			0.5
No	15,620	33.1
Yes	31,627	66.9
Daily consumption of fruits			0.5
No	35,972	76.1
Yes	11,271	23.9
Daily consumption of vegetables			0.4
No	33,157	70.1
Yes	14,120	29.9

Variable	2 to 3 hours versus ≤ 1 hour				≥ 4 hours versus ≤ 1 hour
	Crude analysis		Adjusted analysis		Crude analysis		Adjusted analysis
	OR (95%CI)	p	OR (95%CI)	p	OR (95%CI)	p	OR (95%CI)	p
Physical activity for commuting (≥ 1 day/week)		<0.001a		0.055a		<0.001a		0.230a
No	1.00		1.00		1.00		1.00
Yes	0.91 (0.87; 0.96)		0.98 (0.93; 1.04)		0.88 (0.84; 0.93)		0.97 (0.92; 1.02)
Physical activity in the household (≥ 1 day/week)		0.048a		0.001a		0.003a		<0.001a
No	1.00		1.00		1.00		1.00
Yes	1.05 (1.00; 1.02)		1.09 (1.04; 1.15)		1.07 (1.02; 1.12)		1.11 (1.06; 1.16)
Physical activity in leisure-time (≥ 1 day/week)		<0.001a		<0.001a		<0.001a		<0.001a
No	1.00		1.00		1.00		1.00
Yes	1.13 (1.08; 1.18)		1.28 (1.22; 1.35)		1.30 (1.25; 1.36)		1.30 (1.24; 1.36)
Physical activity at work (≥ 1 day/week)		<0.001a		0.973a		<0.001a		0.456a
No	1.00		1.00		1.00		1.00
Yes	0.91 (0.87; 0.96)		1.00 (0.94; 1.06)		0.88 (0.84; 0.93)		0.98 (0.93; 1.03)

Variable	2 to 3 hours versus ≤ 1 hour				≥ 4 hours versus ≤ 1 hour
	Crude analysis		Adjusted analysis		Crude analysis		Adjusted analysis
	OR (95%CI)	p	OR (95%CI)	p	OR (95%CI)	p	OR (95%CI)	p
Consumptions of sweets (≥ 1 day/week)		0.225a		0.279a		<0.001a		<0.001a
No	1.00		1.00		1.00		1.00
Yes	0.97 (0.91; 1.02)		1.04 (0.97; 1.11)		1.39 (1.31; 1.47)		1.30 (1.22; 1.39)
Consumptions of soft drinks (≥ 1 day/week)		<0.001a		0.865a		0.001a		0.008a
No	1.00		1.00		1.00		1.00
Yes	0.81 (0.76; 0.86)		0.99 (0.92; 1.07)		1.12 (1.05; 1.20)		1.11 (1.03; 1.19)
Consumption of snacks (≥ 1 day/week)		<0.001a		0.736a		<0.001a		0.010a
No	1.00		1.00		1.00		1.00
Yes	0.83 (0.79; 0.87)		0.99 (0.93; 1.05)		1.12 (1.07; 1.17)		1.07 (1.02; 1.13)
Daily consumption of fruits		0.002a		0.660a		<0.001a		<0.001a
No	1.00		1.00		1.00		1.00
Yes	1.09 (1.03; 1.15)		0.99 (0.93; 1.05)		0.80 (0.76; 0.85)		0.81 (0.76; 0.85)
Daily consumption of vegetables		<0.001a		0.218a		<0.001a		0.001a
No	1.00		1.00		1.00		1.00
Yes	1.10 (1.04; 1.15)		0.96 (0.91; 1.02)		0.88 (0.84; 0.92)		0.91 (0.86; 0.96)

Universidade Estadual Paulista Universidade Estadual Paulista, Av. 24-A, 1515, 13506-900 Rio Claro, SP/Brasil, Tel.: (55 19) 3526-4330 - Rio Claro - SP - Brazil
E-mail: motriz.rc@unesp.br

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[1] Corresponding author Marina Christofoletti Federal University of Santa Catarina, Reitor João David Ferreira Lima Campus, Degree Coordenation of Physical Education. Zipe Code: 88040-900. Florianopolis, Santa Catarina, Brazil. Email: marinachriss@outlook.com