PEDIATRICS Vol. 105 No. 4 April 2000, p. e56
Received Aug 6, 1999; accepted Dec 3, 1999.
,
,
From * Channing Laboratory, Brigham & Women's Hospital, Harvard
Medical School; Departments of
Health Policy and Management and
§ Epidemiology, Harvard School of Public Health;
Department of
Ambulatory Care and Prevention, Harvard Medical School, Harvard Pilgrim
Health Care; ¶ Department of Emergency Medicine, Massachusetts General
Hospital; and # Department of Pediatric Oncology, Dana-Farber Cancer
Institute, Boston, Massachusetts.
Objective. To examine the role of physical activity, inactivity, and dietary patterns on annual weight changes among preadolescents and adolescents, taking growth and development into account.
Study Design. We studied a cohort of 6149 girls and 4620 boys from all over the United States who were 9 to 14 years old in 1996. All returned questionnaires in the fall of 1996 and a year later in 1997. Each child provided his or her current height and weight and a detailed assessment of typical past-year dietary intakes, physical activities, and recreational inactivities (TV, videos/VCR, and video/computer games).
Methods. Our hypotheses were that physical activity and dietary fiber intake are negatively correlated with annual changes in adiposity and that recreational inactivity (TV/videos/games), caloric intake, and dietary fat intake are positively correlated with annual changes in adiposity. Separately for boys and girls, we performed regression analysis of 1-year change in body mass index (BMI; kg/m2). All hypothesized factors were in the model simultaneously with several adjustment factors.
Results. Larger increases in BMI from 1996 to 1997 were
among girls who reported higher caloric intakes (.0061 ± .0026 kg/m2 per 100 kcal/day;
± standard error),
less physical activity (
.0284 ± .0142 kg/m2/hour/day) and more time with TV/videos/games
(.0372 ± .0106 kg/m2/hour/day) during the year
between the 2 BMI assessments. Larger BMI increases were among boys who
reported more time with TV/videos/games (.0384 ± .0101) during
the year. For both boys and girls, a larger rise in caloric intake from
1996 to 1997 predicted larger BMI increases (girls: .0059 ± .0027 kg/m2 per increase of 100 kcal/day; boys: .0082 ± .0030). No significant associations were noted for energy-adjusted
dietary fat or fiber.
Conclusions. For both boys and girls, a 1-year increase in BMI was larger in those who reported more time with TV/videos/games during the year between the 2 BMI measurements, and in those who reported that their caloric intakes increased more from 1 year to the next. Larger year-to-year increases in BMI were also seen among girls who reported higher caloric intakes and less physical activity during the year between the 2 BMI measurements. Although the magnitudes of these estimated effects were small, their cumulative effects, year after year during adolescence, would produce substantial gains in body weight. Strategies to prevent excessive caloric intakes, to decrease time with TV/videos/games, and to increase physical activity would be promising as a means to prevent obesity. Key words: physical activity, gym class, inactivity, television, videos, video/computer games, energy intake, dietary fat, dietary fiber, body mass index, adiposity, obesity, weight change, preadolescence, adolescence, longitudinal.
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