ArticlePDF AvailableLiterature Review

Effectiveness of Interventions in the Prevention of Childhood Obesity

Authors:

Abstract

The prevalence of childhood obesity, as with that of adulthood, has increased considerably over the past few years and has become a serious public health problem. Once established, its treatment is very difficult and, hence, prevention of childhood obesity using different types of intervention appears promising. The objective of this present report is to review interventions that had been conducted over the past 11 years in the environment of the family, schools and community, and directed towards the prevention of childhood obesity. We reviewed the different strategies employed, the different criteria used in defining weight status, the evaluation and follow-up methods, and the degree of effectiveness. Benefits other than reduced weight gain were assessed, as well. In our review, we selected 14 intervention studies. The differences in design, duration and outcome assessments make direct comparison difficult. Nevertheless, it seems that nutritional education and promotion of physical activity together with behaviour modifications, decrease in sedentary activities and the collaboration of the family could be the determining factors in the prevention of childhood obesity. Other important benefits regarding healthy habits apart from the changes in weight status were pursued in the majority of the studies reviewed. The need for well-designed studies that examine a range of interventions remains a priority.
REVIEW
Effectiveness of interventions in the prevention of childhood obesity
Inmaculada Bautista-Castan
˜o, Jorge Doreste & Lluis Serra-Majem
A
´rea de Medicina Preventiva y Salud Pu
´blica, Departamento de Ciencias Clı´nicas, Universidad de Las Palmas de Gran
Canaria, Spain
Abstract. The prevalence of childhood obesity, as with
that of adulthood, has increased considerably over the
past few years and has become a serious public health
problem. Once established, its treatment is very diffi-
cult and, hence, prevention of childhood obesity using
different types of intervention appears promising. The
objective of this present report is to review interven-
tions that had been conducted over the past 11 years in
the environment of the family, schools and commu-
nity, and directed towards the prevention of childhood
obesity. We reviewed the different strategies employed,
the different criteria used in defining weight status, the
evaluation and follow-up methods, and the degree of
effectiveness.
Benefits other than reduced weight gain were as-
sessed, as well. In our review, we selected 14 inter-
vention studies. The differences in design, duration
and outcome assessments make direct comparison
difficult. Nevertheless, it seems that nutritional edu-
cation and promotion of physical activity together
with behaviour modifications, decrease in sedentary
activities and the collaboration of the family could be
the determining factors in the prevention of child-
hood obesity. Other important benefits regarding
healthy habits apart from the changes in weight sta-
tus were pursued in the majority of the studies re-
viewed. The need for well-designed studies that
examine a range of interventions remains a priority.
Key words: Childhood obesity, Life-style modification, Nutritional education, Parental involvement, Physical
activity, School-meals
Introduction
Obesity in infancy and adolescence has increased
alarmingly over the past few years in developed coun-
tries [1–4] and has become a serious public health
problem [5]. Further, obesity in youth presents char-
acteristics that are different from those of the adult-
hood. The added difficulty is not only its prevention,
but also its treatment. One of these difficulties is the
lack of consensus diagnostic criteria [6–9] which makes
comparisons of prevalence between different countries
difficult. The long-term clinical evolution and compar-
isons of efficacy between the different therapeutic
interventions and preventions are also complicated by
the use of different cut-off points in the definition of
obesity, together with different anthropometric refer-
ence parameters. Also, dietary interventions during in-
fancy and adolescence should be administered with
caution since one is dealing with important periods of
growth and maturation which include not only physical
but psychological changes as well and, as such, nutri-
tional deficits can rebound negatively on the subsequent
physical development of the child and adolescent [10].
The results could be poor dietary behaviour which is of
considerable importance in these stages of growth [11].
Another difficulty is that, because of the lack of indi-
vidual autonomy in childhood, applying preventive and
therapeutic measures to combat infant-juvenile obesity
depends on the collaboration of the family and, in
many cases, on the school environment where the child
spends the greater part of his time.
All these circumstances could help explain the
observation that the majority of the treatments avail-
able for infant-juvenile obesity have achieved only
modest results and are barely maintainable over long
periods of time. Further, there are not many studies
that have investigated the efficacy of the measures of
prevention in these early ages of development [12, 13].
The consequences of childhood obesity are very
considerable and pervasive and, as such, ought to be
made an international public health priority [14, 15].
However, the numbers of studies that have evaluated
the effectiveness of different strategies are few. Hence,
the objective of this present report was to review the
interventions conducted over the past 11 years. The
published studies included were those conducted not
only in the school environment but also in the family
or community. The interventions involved nutritional
education, physical activity, behaviour modification
together with collaboration of the parents and inter-
vention in the school dining facilities; all of which
were directed towards the prevention of the child’s
excessive weight gain. The studies had explored a
variety of intervention strategies, of criteria for
defining obesity, of methods of follow-up and of
evaluating the degree of effectiveness.
Literature search and methods
To identify articles of interest in the evaluation of
interventions to prevent infant-juvenile obesity, we
conducted a Medline (National Library of Medicine)
European Journal of Epidemiology 19: 617–622, 2004.
Ó2004 Kluwer Academic Publishers. Printed in the Netherlands.
search of original articles published between January
1993 and December 2003. Further, we performed a
review of all the specialist journals in associated areas
(paediatrics, internal medicine, public health, family
and general medicine) and secondary journals in-
volved in dissemination of evidence (ACP Journal
Club, Evidence-based Medicine, Clinical Evidence,
Bandolier) available physically, or electronically, in
the libraries of our Institutions (Hospital Insular,
Hospital Materno-Infantil and Hospital Dr. Negrı
´n)
in the Gran Canaria (Canary Islands) as well as those
in the Faculty of Health Sciences of the Universidad
de Las Palmas de Gran Canaria and of the Hospital
Clinic de la Universitat de Barcelona.
Search terms used were ‘‘obesity’’, ‘‘children’’,
‘‘childhood’’, ‘‘prevention’’ singly and in combina-
tion (‘‘childhood and obesity’’, ‘‘childhood and/or
obesity and prevention’’). The age criterion was
0–18 years. Journal languages were English, Spanish,
Italian and Portuguese, and the studies needed to
have been conducted in humans. The following
selection criteria were applied:
(1) Type of participants: Populations of between 0
and 18 years of age.
(2) Types of intervention: Prevention interventions
published between 1993 and 2003, that deal with
the effects on ponderal status.
(3) Type of study: Randomised controlled trials, and
non-randomised intervention studies but with con-
trol groups, observed for a minimum of 12 weeks.
Data were synthesised narratively.
Results
We encountered 16 interventional studies comparing
different interventions in the prevention of childhood
obesity. From these, two were discarded [16, 17] be-
cause of a lack of a control group in the study design.
Table 1 summarises the remaining 14 studies that
fulfilled our selection criteria listed in order of length
of follow-up. Of these, 12 were conducted within the
environment of the school [18–29] and two were in
the community [30, 31].
Three of the studies [29–31] had between 50 and
100 subjects, six [20–22, 24, 26–28] between 100 and
500, one [25] between 500 and 1000 and the remaining
four [18, 19, 22, 23] had more than 1000 subjects.
The majority of the studies were conducted in the USA,
one each in Germany [24], and the UK [25] with one study
[28] conducted in an Asian country (Thailand).
The length of follow-up was very variable, and this
made between-study comparisons difficult. Two of
the studies were for a period of follow-up of 3 years
[18, 19], four for 2 years [20–23], five for between
7 months and 1 year [24–28], and the three shortest
were for 3 months [29–31].
Of the 14 interventions reviewed, 10 were interven-
tions of general type (all in the school environment)
and 4 were interventions in high-risk populations, ra-
cial US groups: American Indians [19], African-
Americans [30, 31] and Hispanic and Afro-American
[29] children. All the studies were randomised con-
trolled trials, usually with the school as the unit of
randomisation, intervention and analysis, or the
school-classes [28, 29], except for the study of Stolley
et al. [30, mother–daughter dyads], the study of Rob-
inson et al [31, individuals randomisation] and the
study of Mu
¨ller et al. [24, randomised school inter-
vention, but non-randomised family intervention].
The most common variables used to evaluate effi-
cacy of the interventions were body mass index
(BMI), measurements of the skin-folds and percent-
age of body fat mass. The measurements were
conducted during the course of the follow-up or at
open-end of the study to evaluate changes (absolute
or percentage) relative to baseline values.
In some studies, the changes in abdominal fat
distribution were measured as the waist measurement
or as the waist–hip ratio. Additionally, prevalence of
overweight and/or obesity were compared in some
studies, but using different criteria for their definition.
Apart from these limitations, we evaluated the studies
on the basis of having adjusted for confounding
variables such as age, gender, initial value of the
variables, maturation stage, etc.
Effectiveness of the interventions in the prevention
of excessive weight gain
The strategies of intervention that had been employed
included nutritional education, behaviour modifications,
promotion of greater physical activity, parental partici-
pation, modification of school meal content and, in the
majority of studies, a combination of these factors.
Studies that included nutritional education
and physical activity
There were nine studies which had used these strate-
gies in the prevention of obesity [18, 19, 21, 22, 24, 25,
27, 29, 30]. The three interventions that did show an
effect, in boys as well as in girls [24] or in girls alone [22,
29], combined, as well, a life-style habit modification.
Gortmaker et al. [22] designed, under the name of
‘‘Planet Health’’, a program lasting 2 school-years
which was directed towards reducing the hours spent
watching television and the consumption of food items
rich in saturated fats. This was combined with advice
to increase the consumption of fruits and vegetables
and to increase the amount of physical activity, whe-
ther moderate or intense. The efficacy was evaluated
by comparing the prevalence of obesity in the inter-
vention groups versus the control. The evaluation was
an indicator derived from BMI and triceps skin-fold
>85th percentile for age and gender. Also, the chan-
ges were adjusted for the initial level of obesity. At the
end of the intervention, there was a decrease in the
618
Table 1. Intervention studies (1993–2003) in the prevention of childhood obesity
Intervention components
Study Duration N Age Intervention NE BM PA PI SFI Obesity prevention evaluation Effective
Luepker et al., 1996 [18] 3 years 4019 8.7 School X X X Changes in BMI, TS and SS after adjustment for
baseline values, gender, age, race and school random
effect
No
Caballero et al., 2003 [19] 3 years 1704 7.6 School X X X X X Changes in BMI, TS, SS and percentage fat mass No
Sallis et al., 1993 [20] 2 years 305 9.25 School X Changes in BMI, TS, SS adjusted for gender and
baseline values
No
Donnelly et al., 1996 [21] 2 years 338 9.2 School X X X Changes in BMI and percentage fat mass No
Gortmaker et al., 1999 [22] 2 years 1295 11.7 School X X X Prevalence, incidence and remission of obesity;
(85
th
percentile)
Girls only
Sallis et al., 2003 [23] 2 years 1109 ¿–? School X X X Changes in BMI Boys only
Mu
¨ller et al., 2001 [24] 1 year 297 5–7 School X X X X Changes in TS and fat mass percentage of obese
children (P90th of TS age/sex specific)
Yes
Sahota et al., 2001 [25] 1 year 636 7–11 School X X X X Changes in BMI,TS and SS adjusted by age, sex
and baseline values
No
Robinson, 1999 [26] 8 months 192 8.9 School X X Changes in BMI, TS, WC and WHR adjusted by
sex and baseline values
Yes
Neumark-Sztainer et al., 2003 [27] 8 months 208 9–12 School X X X Changes in BMI No
Mo-Suwan et al., 1998 [28] 7 months 292 4.5 School X Obesity prevalence (>95
th
percentile); BMI and TS
adjusted for age, gender, baseline values, parental
monthly income and family history of obesity
Yes
Flores, 1995 [29] 3 months 81 10–13 School X X X Changes in BMI adjusted by maturity stage and age Girls only
Stolley et al., 1997 [30] 3 months 65 9.9 Com-
munity
X X X X Changes in BMI Overweight prevalence
a
No
Robinson et al., 2003 [31] 3 months 52 8–10 Com-
munity
X X X Changes in BMI and WC No
NE=Nutritional education; BM= behaviour modification; PA= physical activity; PI= parent involvement; SFI= school-food intervention; BMI= body mass index; TS= triceps
skin-fold; SS=sub-scapular skin-fold; WC= waist circumference; WHR= waist–hip ratio.
a
Diagnoses by 50
th
percentile; weight-for-height as the ideal body weight based on the 1983 Metropolitan Life Insurance Tables for mothers and the Tanner Height–Weight charts for
girls.
619
prevalence of obesity in girls (odds ratio (OR): 0.47;
95% confidence interval (CI): 0.24–0.93) and, again in
girls, a greater remission of obesity in the intervention
group (OR: 2.16; 95% CI: 1.07–4.35).
Similarly, Flores et al. [29] observed significant
outcomes in girls only, with a decrease of the BMI
following a ‘‘Dance for Health Program’’ which pro-
moted an increase in physical activity using dancing
classes as the medium. Additionally, there were mod-
ifications in other life-style habits and nutritional
education. However, the study sample population was
much lower than that of the Gortmaker et al. study
[22]. The study involved 81 Afro-American and His-
panic children and the outcomes were evaluated after
only three months of the intervention.
Finally, Mu
¨ller et al. [24] published their results of
the first year of the KOPS study (Kiel Obesity Pre-
vention Study). The original study is a cohort study
and the follow-up period was scheduled for 8 years.
The study involved programs carried-out in the school
as well as in the family context, including parent
participation. The outcomes showed that the normal
age-related increase in the mean triceps skin-fold is
lower in the intervention group and that, in the group
of obese children, the annual increment in the
percentage body fat mass is reduced in the interven-
tion group relative to controls (0.4% vs 3.6%).
The remaining studies in this group were ineffective
in preventing excessive weight gain. There were two
[18, 21] that included, as well, an intervention
involving school meals.
Studies that advocated physical activity but not
nutritional education
There were four studies [20, 23, 28, 31] that promoted
physical activity in the prevention of obesity, without
additional nutritional education. Two of these
showed no effectiveness in the prevention of excessive
weight gain [20, 31].
The intervention carried-out by Robinson et al. [31]
consisted of a pilot community study, the ‘‘Stanford
GEMS Pilot Study’’, conducted on a small sample of 52
Afro-American girls over a period of only 3 months of
follow-up. The objective was to demonstrate the
acceptability, ease and potential efficacy of an inter-
vention consisting of after-school dance classes and a
family intervention to reduce the hours spent watching
television, videos and playing video games. No signifi-
cant change was achieved with respect to BMI or waist
measurement perhaps due to the small number of
children studied. However, there was a reduction in the
amount of time spent watching television.
Sallis et al. in 1993 began the SPARK trial [20]
involving seven schools in different programs of
physical activity directed by specialists. The school
teachers of the intervention group underwent a spe-
cial training course while the control group did not.
The program was for 2 years. Apart from the BMI,
adiposity was determined as triceps skin-fold mea-
surements. The children in whom there was no spe-
cific intervention tended to have higher levels of body
fat compared to controls. The differences did not
reach statistical significance when adjusted for base-
line values and gender.
The M-SPAN Study by Sallis et al. [23] showed that,
at the end of an intervention lasting 2 school-years,
there was a significant reduction in the BMI, but only in
the males. In this case, apart from the promotion of
physical activity, using the SOFT program (System for
Observing Fitness Instruction), there was an attempt to
increase the consumption of food items low in fats not
only in the school canteen and vending machines in the
school but also, with the participation of the parents, in
the food-item content of the child’s school satchel.
Nevertheless, no significant reductions were achieved
with respect to the total percentage of fat or in the
quantity of saturated fat intake, neither were there
differences in the number of hours spent in sedentary
activities, as measured by SOPLAY (System for
Observing Play and Leisure Activity of Youth).
The study by Mo-suwan et al. [28] was conducted
in Asian children of around 4.5 years of age. The
intervention program involved aerobic exercise three
times a week over a period of almost 30 weeks. The
measurements included the prevalence of obesity de-
fined as the 95th percentile of the triceps skin-fold
measurements specific for age and gender for the
population of Thailand. The skin-fold measurement
in the exercise group decreased from 12.2% at base-
line to 8.8%, whereas that of the control group de-
creased from 11.7% to 9.7%. A gender difference in
the response of BMI to exercise was observed: girls in
the exercise group had a lower likelihood of having
an increasing BMI slope than the control girls.
Studies involving the parental participation
There were seven studies in which parental support
was sought in achieving the objectives [19, 23, 24, 26,
27, 30, 31]. However, there were no comparisons
made between the same interventions, with or with-
out parental participation. Of these studies, three [23,
24, 26] showed an effectiveness, with the previously
described study by Sallis et al. [23], but in boys only.
Another study of note was the one by Stolley et al.
[30] in which the intervention involved the mother-
daughter approach. This study showed no effective-
ness after 3 months of follow-up.
Studies involving school-food facilities interventions
There were five studies involving the schools’ dining
facilities [18, 19, 21, 23, 25]. There is no evidence that
such an intervention could be considered efficacious
without additional interventions. In the only one with
positive results, reported by Sallis et al. [23], there was
an additional participation on the part of the parents.
620
Studies involving the reduction of sedentary activities
The study by Robinson et al. [26] has already been
mentioned. The intervention was to reduce the
number of hours spent watching television, videos
and video games. It is of note that the collaboration
of the parents was sought using informative letters
containing strategies for limiting the children’s use of
the television and video games. The evaluation was
conducted at 8 months, and included measurements
of height, weight, triceps skin-fold, and the distribu-
tion of abdominal fat based on measurement of waist
and waist–hip ratio. There was a significantly lower
increase in these indices in the intervention group
relative to the group of control subjects, but no
change in physical activity or fat consumption, de-
spite a significant reduction in the number of meals
consumed in front of the television.
Other effects of interventions
Overall, the effects on dietary habits, physical exer-
cise, and other cardiovascular disease risk factors
were noted irrespective of whether the studies were
efficacious in preventing excessive weight gain. These
outcomes were as follows.
Interventions without effect on BMI
Sahota et al. [25]: higher consumption of vegetables
and improvement in life-style attitudes, knowledge
and habits.
Donnelly et al. [21]: increase in physical activity,
increase in high-density lipoprotein cholesterol,
reduction in the total/HDL-cholesterol ratio.
Robinson et al. [31]: decrease in the number of
hours spent watching television.
Stolley et al. [30]: decrease in the percentage of
caloric intake derived from fat.
Neumark-Sztainer et al. [27]: greater intention to
participate in physical activity.
Luepker et al. [18]: more physical activity, reduc-
tion in fat intake in the school and of the propor-
tion of fats in the daily energy intake.
Caballero et al. [19]: lower percentage of energy
derived from fats, improvement in knowledge,
attitudes and healthy life-style patterns.
Interventions with positive effect on BMI
Sallis et al. [23]: greater physical activity, in boys.
Gortmaker et al. [22]: fewer hours watching tele-
vision and greater consumption of fruit and vege-
tables, in girls.
Robinson [26]: less number of hours of television; less
number of meals consumed in front of the television.
–Mu
¨ller et al. [24]: better nutritional awareness,
more physical activity, greater intake of food items
low in fat, lower number of hours of television.
Discussion and conclusions
The differences in study design, duration of follow-
up, and procedures of evaluation of the different
studies make a clear evaluation of the efficacy of the
intervention almost impossible. However, in general,
it must be taken into account that even small weight
losses would be very beneficial because childhood and
adolescence are periods of growth [32].
Because of the frequency of negative outcomes of
these types of interventions, it cannot be ruled out that
there could be a publication bias. Further, there are
many factors apart from the school or family factors
that would influence weight status of the children [32].
As such, future studies will need to focus on pre-
ventive intervention in childhood obesity using more
rigorous and reproducible methodology and better
defined objectives. Also, the cost-benefit needs to be
assessed with respect to the generalized application of
different strategies in the appropriate environments.
Bearing in mind the shortcomings of the published
studies, our conclusions are:
(1) Interventions designed to prevent excessive
weight gain and applied over 6 months to 1 year
seems to be more effective than shorter-term
interventions and, as well, to those extending over
longer periods.
(2) Interventions involving nutritional education to-
gether with the promotion of physical activity are
more effective if, additionally, they are combined
with behaviour modifications.
(3) Parental involvement can help in ensuring a degree
of effectiveness of programs designed to reduce
excessive weight gain and obesity in children.
(4) As we have seen in our survey of the literature,
intervention involving school canteen facilities is
not decisive in improving the effectiveness of the
interventions.
(5) Conversely, decreasing sedentary activity such as
watching television does positively influence the
effectiveness of interventions designed to prevent
childhood obesity.
(6) The interventions that we have reviewed,
regardless of their impact on obesity, have a
beneficial effect on children’s health, as far as they
improve dietary habits which could lead to a
decrease in cardiovascular disease risk factors
increase awareness of the importance of healthy
nutritional habits and of physical activity.
References
1. Jolliffe D. Extent of overweight among US children and
adolescents from 1971 to 2000. Int J Obes Relat Metab
Disord 2004; 28: 4–9.
2. Wang Y, Monteiro C, Popkin BM. Trends of obesity
and underweight in older children and adolescents in
the United States, Brazil, China, and Russia. Am J Clin
Nutr 2002; 75: 971–977.
621
3. Lobstein T, Frelut ML. Prevalence of overweight
among children in Europe. Obes Rev 2003; 4: 195–200.
4. Serra-Majem L, Ribas-Barba L, Aranceta-Bartrina J,
Pe
´rez-Rodrigo C, Saavedra-Santana P, Pen
˜a-Quintana
L. Epidemiologı
´a de la obesidad infantil y juvenil en
Espan
˜a. Resultados del estudio enKid (1998–2000).
Med Clin (Barc) 2003; 121: 725–732.
5. Ebbeling CB, Pawlak DB, Ludwig DS. Childhood
obesity: Public health crisis, common sense cure. Lan-
cet 2002; 360: 473–482.
6. World Health Organization (WHO) Expert Commit-
tee. Physical status: The use and interpretation of
anthropometry. Geneva: WHO, 1995 (Technical
Report Series: No. 854): 161–262.
7. Dietz WH, Robinson TN. Use of the body mass index
(BMI) as a measure of overweight in children and
adolescents. J Pediatr 1998; 132: 191–193.
8. Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing
a standard definition for child overweight worldwide:
International survey. Br Med J 2000; 320: 1240–1243.
9. Wang Y, Wang JQ. A comparison of international
references for the assessment of child and adolescent
overweight in different populations. Eur J Clin Nutr
2002; 56: 973–982.
10. Amador M, Ramos LT, Morono M, Hermelo MP.
Growth rate reduction during energy restriction in obese
adolescents. Exp Clin Endocrinol 1990; 96: 73–82.
11. Decaluwe
´V, Braet C. Prevalence of binge-eating dis-
order in obese children and adolescents seeking weight-
loss treatment. Int J Obes Relat Metab Disord 2003;
27: 404–409.
12. Golan M, Weizman A. Familial approach to the
treatment of childhood obesity: Conceptual mode.
J Nutr Educ 2001; 33: 102–107.
13. Resnicow K. School-based obesity prevention. Popu-
lation versus high-risk interventions. Ann NY Acad Sci
1993; 699: 154–166.
14. Public Health Service. Healthy people 2000: National
health promotion and disease prevention objectives.
Washington, DC: US Department of Health and Hu-
man Services, Public Health Service, 1990 (DHHS
publication: No. (PHS) 90-50212).
15. Carraro R, Garcia-Cebria
´n M. Role of prevention in
the contention of the obesity epidemic. Eur J Clin Nutr
2003; 57 (Suppl 1): S94–S96.
16. Epstein LH, Valoski AM, Vara LS, McCurley J, Wis-
niewski L, Kalarchian MA, Klein KR, Shrager LR.
Effects of decreasing sedentary behavior and increasing
activity on weight change in obese children. Health
Psychol 1995; 14: 109–115.
17. Epstein L, Gordy CC, Raynor HA, Beddome M,
Kilanowski CK, Paluch R. Increasing fruit and vegeta-
ble intake and decreasing fat and sugar intake in families
at risk for childhood obesity. Obes Res 2001; 9: 171–178.
18. Luepker RV, Perry CL, McKinlay SM, Nader PR, Parcel
GS, Stone EJ, Webber LS, Elder JP, Feldman HA,
Johnson CC, et al. Outcomes of a field trial to improve
children’s dietary patterns and physical activity. The Child
and Adolescent Trial for Cardiovascular Health. CATCH
Collaborative Group. JAMA 1996; 275: 768–776.
19. Caballero B, Clay T, Davis SM, Ethelbah B, Rock BH,
Lohman T, Norman J, Story M, Stone EJ, Stephenson
L, Stevens J; Pathways Study Research Group. Path-
ways: A school-based, randomized controlled trial for
the prevention of obesity in American Indian school
children. Am J Clin Nutr 2003; 78: 1030–1038.
20. Sallis JF, McKenzie TL, Alcaraz JE, Kolody B, Hovell
MF, Nader PR. Project SPARK. Effects of physical
education on adiposity in children. Ann NY Acad Sci
1993; 699: 127–136.
21. Donnelly JE, Jacobsen DJ, Whatley JE, Hill JO, Swift
LL, Cherrington A, Polk B, Tran ZV, Reed G. Nutri-
tion and physical activity program to attenuate obesity
and promote physical and metabolic fitness in ele-
mentary school children. Obes Res 1996; 4: 229–243.
22. Gortmaker SL, Peterson K, Wiecha J, Sobol AM, Dixit
S, Fox M, Laird N. Reducing obesity via a school-based
interdisciplinary intervention among youth: Planet health.
Arch Pediatr Adolesc Med 1999; 153: 409–418.
23. Sallis JF, McKenzie TL, Conway TL, Elder JP,
Prochaska JJ, Brown M, Zive MM, Marshall SJ, Al-
caraz JE. Environmental interventions for eating and
physical activity: A randomized controlled trial in
middle schools. Am J Prev Med 2003; 24: 209–217.
24. Mu
¨ller MJ, Asbeck I, Mast M, Langna
¨se K, Grund A.
Prevention of obesity more than an intention. Con-
cept and first results of the Kiel Obesity Prevention
Study (KOPS). Int J Obes Relat Metab Disord 2001; 25
(Suppl 1): S66–S74.
25. Sahota P, Rudolf MC, Dixey R, Hill AJ, Barth JH,
Cade J. Randomised controlled trial of primary school
based intervention to reduce risk factors for obesity. Br
Med J 2001; 323: 1029–1032.
26. Robinson TN. Reducing children’s television viewing
to prevent obesity: A randomized controlled trial.
JAMA 1999; 282: 1561–1567.
27. Neumark-Sztainer D, Story M, Hannan PJ, Rex J.
New Moves: A school-based obesity prevention pro-
gram for adolescent girls. Prev Med 2003; 37: 41–51.
28. Mo-suwan L, Pongprapai S, Junjana C, Puetpaiboon
A. Effects of a controlled trial of a school-based exer-
cise program on the obesity indexes of preschool chil-
dren. Am J Clin Nutr 1998; 68: 1006–1011.
29. Flores R. Dance for health: Improving fitness in Afri-
can American and Hispanic adolescents. Public Health
Rep 1995; 110: 189–193.
30. Stolley MR, Fitzgibbon ML. Effects of an obesity
prevention program on the eating behavior of African
American mothers and daughters. Health Educ Behav
1997; 24: 152–164.
31. Robinson TN, Killen JD, Kraemer HC, Wilson DM,
Matheson DM, Haskell WL, Pruitt LA, Powell TM,
Owens AS, Thompson NS, Flint-Moore NM, Davis
GJ, Emig KA, Brown RT, Rochon J, Green S, Varady
A. Dance and reducing television viewing to prevent
weight gain in African-American girls: The Stanford
GEMS pilot study. Ethnic Dis 2003; 13: S65–S77.
32. Glenny AM, O’Meara S, Melville A, Sheldon TA,
Wilson C. The treatment and prevention of obesity: A
systematic review of the literature. Int J Obes Relat
Metab Disord 1997; 21: 715–737.
Address for correspondence: Lluis Serra-Majem, Catedra
´tico de
Medicina Preventiva y Salud Pu´blica, Departamento de Cien-
cias Clı´nicas, Universidad de Las Palmas de Gran Canaria,
Apdo Correos 550, 35080 Las Palmas de Gran Canaria
E-mail: lserra@dcc.ulpgc.es
622
... The prevalence of childhood obesity has significantly increased over the past few years and has become a severe public health issue. Because it is exceedingly difficult to treat once it has been established, prevention of childhood obesity through various forms of intervention seems to hold promise [36]. It appears that reduction in sedentary activities, family cooperation, and the promotion of physical exercise in conjunction with nutritional education may be crucial factors in preventing childhood obesity [37]. ...
Article
Full-text available
Over the previous few years, childhood obesity rates have risen globally. Obesity is defined as an accumulation of adipose tissue that is of sufficient magnitude to impair health. There is a significant negative impact of obesity on a child's health both in childhood as well as in adulthood. Both industrialized and emerging nations face severe public health risks due to the increased prevalence of obesity in children. Overweight children are more likely to develop obesity as they get older. Children who are overweight struggle with physical exercise. Therefore, children should be encouraged to include any form of physical activity in their daily routine. Parents play a major role in adapting a child to a healthy environment. Assessing the child's nutritional adequacy concerning what the child consumes and the recommended diet is vital. In some regions of the world, obesity has replaced malnutrition as the primary issue, with nutrition, overweight, and obesity being up to four times more prevalent than malnutrition. Worldwide, there have been significant changes in lifestyle over the last few years that have led to less physical activity and higher calorie-dense food intake. Obesity in children may lead to hypertension, coronary disease, and a greater incidence of diabetes complications and metabolic syndrome. It is necessary to develop new methods for treating and preventing childhood obesity. This article examines the widespread presence of childhood obesity, its various causes and consequences, as well as available interventions.
... A gyermekkori elhízás komoly népegészégügyi probléma, melynek megelőzése és kezelése a jelenlegi beavatkozások és módszerek mellett kevés eredményt tud felmutatni. 13,14 Magyarországon az egyes krónikus betegségek előfordulásáról központi regiszter hiányában pontos adatokkal nem rendelkezünk. Célzott adatbázis elemzések (pl. ...
Article
Bár jelenleg a prevalencia stabilizálódni látszik, a gyermekkori elhízás előfordulása hazánkban igen magas, és jelenleg minden negyedik gyermek túlsúlyos vagy elhízott. A kórképnek mind gyermekkorban, mind felnőttkorban súlyos szövődményei vannak, így népegészségügyi hatása és költségvonzata is jelentős. Sajnos a jelenlegi kezelési módszerek kevés eredményt tudnak felmutatni, így a hangsúlyt elsősorban a megelőzésre kell fektetni. Jelenleg az ajánlások komplex megközelítést és egyidejűleg több fronton induló beavatkozásokat javasolnak a hatékony megelőzés érdekében, mely elsősorban a káros környezeti tényezők kiküszöbölését célozza.
... Intervention duration and its association with effectiveness are still an ongoing debate, as well as an agreed differentiation cut-off. Bautista-Castano et al. (2004) found that interventions lasting between 6 months and one year are more effective (triceps skin-fold and BMI anthropometrics) than shorter and longer-term interventions 50 . Another meta-analysis found short-term interventions (0 to 12 weeks) to have negative effects on BMI, whereas longer interventions (13 weeks or more) are associated with small, significant, and positive BMI effects 45 . ...
Article
Full-text available
OBJECTIVE To evaluate the implementation and effectiveness of school-based interventions to prevent obesity conducted in Latin America and provide suggestions for future prevention efforts in countries of the region. METHODS Articles published in English, Spanish, and Portuguese between 2000 and 2017 were searched in four online databases (Google Scholar, PubMed, LILACS, and REDALYC). Inclusion criteria were: studies targeting school-aged children and adolescents (6–18 years old), focusing on preventing obesity in a Latin American country using at least one school-based component, reporting at least one obesity-related outcome, comprising controlled or before-and-after design, and including information on intervention components and/or process. RESULTS Sixteen studies met the inclusion criteria. Most effective interventions (n = 3) had moderate quality and included multi-component school-based programs to promote health education and parental involvement focused on healthy eating and physical activity behaviors. These studies also presented a better study designs, few limitations for execution, and a minimum duration of six months. CONCLUSIONS Evidence-based prevention experiences are important guides for future strategies implemented in the region. Alongside gender differences, an adequate duration, and the combined use of quantitative and qualitative evaluation methods, evidence-based prevention should be considered to provide a clearer and deeper understanding of the true effects of school-based interventions.
... En base a lo anterior, las familias, el entorno escolar y las organizaciones comunitarias cobran una gran relevancia en la adquisición de estos hábitos saludables (Hills, Dengel, y Lubans, 2015;Romero-Cerezo et al., 2011). Concretamente, el entorno familiar y escolar, debido a la falta de autonomía individual en la infancia, van a ser determinantes en la aplicación de medidas preventivas y terapéuticas para combatir la obesidad infantil y juvenil, pues son dos contextos donde los niños y adolescentes pasan la mayor parte de su tiempo (Bautista-Castaño, Doreste, y Serra-Majem, 2004). ...
Article
Full-text available
El propósito del presente trabajo fue conocer la efectividad de los programas de intervención destinados a disminuir el sobrepeso y la obesidad en los jóvenes. Se seleccionaron 266 publicaciones obtenidas mediante la búsqueda en bases de datos: Pubmed (n = 83), Science Direct (n = 2091), Scopus (n = 100) y Web of Science (n = 107). Tras la lectura del resumen y/o texto completo, los estudios seleccionados se redujeron a 21. La edad de los participantes osciló entre los 6 y 16 años. Las conclusiones del estudio fueron que los programas más efectivos fueron aquellos que realizaron dos sesiones semanales de actividad física, con una duración de 45 minutos, a una intensidad moderada y vigorosa.
... However, sex was found to be imbalanced, with a higher percentage of males in the improved group (64%, vs. 47%). While such differences are in line with known gender response differences to obesity interventions 40,41 , to guard against potential confounding of our results, we undertook an additional cohort control to remove any characteristics that had any statistical association to patient sex (details included in the Supplemental Material). ...
Article
Full-text available
As the global prevalence of childhood obesity continues to rise, researchers and clinicians have sought to develop more effective and personalized intervention techniques. In doing so, obesity interventions have expanded beyond the traditional context of nutrition to address several facets of a child’s life, including their psychological state. While the consideration of psychological features has significantly advanced the view of obesity as a holistic condition, attempts to associate such features with outcomes of treatment have been inconclusive. We posit that such uncertainty may arise from the univariate manner in which features are evaluated, focusing on a particular aspect such as loneliness or insecurity, but failing to account for the impact of co-occurring psychological characteristics. Moreover, co-occurrence of psychological characteristics (both child and parent/guardian) have not been studied from the perspective of their relationship with nutritional intervention outcomes. To that end, this work looks to broaden the prevailing view: laying the foundation for the existence of complex interactions among psychological features. In collaboration with a non-profit nutritional clinic in Brazil, this paper demonstrates and models these interactions and their associations with the outcomes of a nutritional intervention.
... Expanding the focus from CBI to other kinds of interventions, the systematic review and meta-analysis cited [41] show a significant reduction in the BMI and BMI z-score for schoolbased interventions. The findings support previous evidence that school-based interventions can support childhood obesity prevention [4,22,42], although the improvements observed have limited clinical relevance (0.05 BMI z-score and 0.25 BMI) [41]. Similar significant improvements in weight status have been observed in recently published studies about the efficacy of school-based healthy lifestyle promotion interventions [14,40]. ...
Article
Full-text available
Results of community-based childhood obesity intervention programs do not provide strong evidence for their effectiveness. In this study, we evaluated the effect of the Thao-Child Health Program (TCHP), a community-based, multisetting, multistrategy intervention program for healthy weight development and lifestyle choices. In four Catalan cities, a total of 2250 children aged 8 to 10 years were recruited. Two cities were randomly selected for the TCHP intervention, and two cities followed usual health care policy. Children were selected from 41 elementary schools. Weight, height, and waist circumference were measured at baseline and after a mean follow-up of 15 months. Physical activity and adherence to the Mediterranean diet were measured with validated questionnaires. Generalized estimating equations (GEE) models were fitted to determine the intervention's effect on body mass index (BMI) z-score, waist-to-height ratio, Mediterranean diet adherence, and physical activity. Fully adjusted models revealed that the intervention had no significant effect on the BMI z-score, incidence of general and abdominal obesity, Mediterranean diet adherence, and physical activity. Waist-to-height ratio was significantly lower in controls than in the intervention group at follow-up (p < 0.004). Conclusions: The TCHP did not improve weight development, diet quality, and physical activity in the short term. What is Known: • There is inconsistent evidence for the efficacy of school-based childhood obesity prevention programs. • There is little evidence on the efficacy of childhood obesity intervention programs in other settings. What is New: • This paper contributes information about the efficacy of a multisetting and multistrategy Community Based Intervention (CBI) program that uses the municipality as its unit of randomization. • This CBI had no effect on the prevention and treatment of childhood obesity in the short term.
Article
Strengthening students’ well-being and nutritional balance in Grand Est (France): “Lycéen Bouge” program intervention logic Introduction: As part of a national health policy to fight excess weight and obesity, the “Lycéen Bouge” program aims to fight against social inequalities in health among adolescents by improving their well-being and nutritional balance. The aim of this article is to present the intervention logic of this program and to identify the key functions that are essential for the project to function properly and to be transferable. Method: Data was collected through interviews with project officers, observation sessions in several high schools. A documentary analysis was also carried out. The data was then analyzed thematically, in a collaborative process with the project leader, in order to develop the program logic model. Results: The analysis and development of the logic model identified the program’s objectives and components, as well as six key functions. The key functions identified concern the format and co-construction of activities, local partnerships, high-school volunteering, social skills training and project length. Conclusion: In some respects, the program differs from the literature and the evidence and could therefore draw on it for improvement. These include the involvement of beneficiaries and the implementation of a comprehensive approach and a gender-sensitive approach, which would make it possible to reach more students.
Article
Introducción. La prevalencia de sobrepeso y obesidad en la población escolar se está incrementando en los últimos años, y es de vital importancia su control dada la relación que existe entre la obesidad y la morbimortalidad de causa cardiovascular y otras causas. Con este estudio se pretendía conocer la prevalencia de sobrepeso y obesidad entre los escolares de un centro rural de Castilla la Mancha y conocer sus hábitos alimentarios e intentar influir favorablemente en estos mediante actividades comunitarias en colegio. Material y métodos. Se trata de un estudio transversal descriptivo realizado en un centro escolar del ámbito rural en Castilla la Mancha. En un primer momento se explotaron los datos de los percentiles de IMC de las historias clínicas de los escolares que se clasificaron en las categorías de sobrepeso y obesidad con las tablas de referencia de la OMS. Posteriormente se realizó una encuesta a los padres de los escolares vía online sobre el tipo de alimentación que realizaban sus hijos, nivel de actividad física y tiempo de realización de actividades de ocio sedentario. Por ultimo se realizaron 3 encuestas visuales sobre los alimentos que llevaban para almorzar al colegio, la primera antes de la intervención con los niños, la segunda después de la intervención de estos y la tercera después de la intervención con los padres. Los cálculos estadísticos se realizaron con el paquete estadístico SPSS versión 20. Resultados. La mayoría de los escolares se encontraban en normopeso (84,9%), la prevalencia de sobrepeso fue del 3,8% y la de obesidad del 11,3%. Los niños consumían diariamente en un 93% pan blanco, el 24% cereales azucarados, 40%% verduras, 58% frutas, 31% de carnes blancas, 26% huevos, 41% leche entera, 48% queso y 44% yogur. En contra se aprecia un alto consumo diario de carne roja un 27% , 24 % comida rápida, y el 17 % de zumos industriales. Consumen refrescos azucarados al menos semanalmente el 44%. En lo referente al ejercicio físico la mayoría va a l colegio andando o en automóvil en igual porcentaje, el 87% hace deporte extraescolar, del ellos el 78% de 2-6 veces a la semana. El tiempo que consumen viendo televisión o con videojuegos varia de menos de 1 hora a 2 horas entre semana y los fines de semana el 52% dedican 2 horas a estas actividades. Los alimentos que con mayor frecuencia llevaban a centro para almorzar fueron embutido, queso, pan y yogur, y no vario con las intervenciones realizadas en niños y padres. Conclusiones. La prevalencia de sobrepeso y obesidad en los escolares de medio rural fue menor que en otros estudios realizados en España. La alimentación se ajustaba bastante a la pirámide recomendada por la SENC pero aún queda un largo camino por mejorar los objetivos fijados. No se apreciaron modificaciones en los alimentos del almuerzo escolar tras las intervenciones realizadas en centro escolar los sanitarios tanto con escolares como con los padres.
Article
Background: Poor diet and insufficient physical activity are major risk factors for non-communicable diseases. Developing healthy diet and physical activity behaviors early in life is important as these behaviors track between childhood and adulthood. Parents and other adult caregivers have important influences on children's health behaviors, but whether their involvement in children's nutrition and physical activity interventions contributes to intervention effectiveness is not known. Objectives: • To assess effects of caregiver involvement in interventions for improving children's dietary intake and physical activity behaviors, including those intended to prevent overweight and obesity • To describe intervention content and behavior change techniques employed, drawing from a behavior change technique taxonomy developed and advanced by Abraham, Michie, and colleagues (Abraham 2008; Michie 2011; Michie 2013; Michie 2015) • To identify content and techniques related to reported outcomes when such information was reported in included studies SEARCH METHODS: In January 2019, we searched CENTRAL, MEDLINE, Embase, 11 other databases, and three trials registers. We also searched the references lists of relevant reports and systematic reviews. Selection criteria: Randomised controlled trials (RCTs) and quasi-RCTs evaluating the effects of interventions to improve children's dietary intake or physical activity behavior, or both, with children aged 2 to 18 years as active participants and at least one component involving caregivers versus the same interventions but without the caregiver component(s). We excluded interventions meant as treatment or targeting children with pre-existing conditions, as well as caregiver-child units residing in orphanages and school hostel environments. Data collection and analysis: We used standard methodological procedures outlined by Cochrane. Main results: We included 23 trials with approximately 12,192 children in eligible intervention arms. With the exception of two studies, all were conducted in high-income countries, with more than half performed in North America. Most studies were school-based and involved the addition of healthy eating or physical education classes, or both, sometimes in tandem with other changes to the school environment. The specific intervention strategies used were not always reported completely. However, based on available reports, the behavior change techniques used most commonly in the child-only arm were "shaping knowledge," "comparison of behavior," "feedback and monitoring," and "repetition and substitution." In the child + caregiver arm, the strategies used most commonly included additional "shaping knowledge" or "feedback and monitoring" techniques, as well as "social support" and "natural consequences." We considered all trials to be at high risk of bias for at least one design factor. Seven trials did not contribute any data to analyses. The quality of reporting of intervention content varied between studies, and there was limited scope for meta-analysis. Both validated and non-validated instruments were used to measure outcomes of interest. Outcomes measured and reported differed between studies, with 16 studies contributing data to the meta-analyses. About three-quarters of studies reported their funding sources; no studies reported industry funding. We assessed the quality of evidence to be low or very low. Dietary behavior change interventions with a caregiver component versus interventions without a caregiver component Seven studies compared dietary behavior change interventions with and without a caregiver component. At the end of the intervention, we did not detect a difference between intervention arms in children's percentage of total energy intake from saturated fat (mean difference [MD] -0.42%, 95% confidence interval [CI] -1.25 to 0.41, 1 study, n = 207; low-quality evidence) or from sodium intake (MD -0.12 g/d, 95% CI -0.36 to 0.12, 1 study, n = 207; low-quality evidence). No trial in this comparison reported data for children's combined fruit and vegetable intake, sugar-sweetened beverage (SSB) intake, or physical activity levels, nor for adverse effects of interventions. Physical activity interventions with a caregiver component versus interventions without a caregiver component Six studies compared physical activity interventions with and without a caregiver component. At the end of the intervention, we did not detect a difference between intervention arms in children's total physical activity (MD 0.20 min/h, 95% CI -1.19 to 1.59, 1 study, n = 54; low-quality evidence) or moderate to vigorous physical activity (MVPA) (standard mean difference [SMD] 0.04, 95% CI -0.41 to 0.49, 2 studies, n = 80; moderate-quality evidence). No trial in this comparison reported data for percentage of children's total energy intake from saturated fat, sodium intake, fruit and vegetable intake, or SSB intake, nor for adverse effects of interventions. Combined dietary and physical activity interventions with a caregiver component versus interventions without a caregiver component Ten studies compared dietary and physical activity interventions with and without a caregiver component. At the end of the intervention, we detected a small positive impact of a caregiver component on children's SSB intake (SMD -0.28, 95% CI -0.44 to -0.12, 3 studies, n = 651; moderate-quality evidence). We did not detect a difference between intervention arms in children's percentage of total energy intake from saturated fat (MD 0.06%, 95% CI -0.67 to 0.80, 2 studies, n = 216; very low-quality evidence), sodium intake (MD 35.94 mg/d, 95% CI -322.60 to 394.47, 2 studies, n = 315; very low-quality evidence), fruit and vegetable intake (MD 0.38 servings/d, 95% CI -0.51 to 1.27, 1 study, n = 134; very low-quality evidence), total physical activity (MD 1.81 min/d, 95% CI -15.18 to 18.80, 2 studies, n = 573; low-quality evidence), or MVPA (MD -0.05 min/d, 95% CI -18.57 to 18.47, 1 study, n = 622; very low-quality evidence). One trial indicated that no adverse events were reported by study participants but did not provide data. Authors' conclusions: Current evidence is insufficient to support the inclusion of caregiver involvement in interventions to improve children's dietary intake or physical activity behavior, or both. For most outcomes, the quality of the evidence is adversely impacted by the small number of studies with available data, limited effective sample sizes, risk of bias, and imprecision. To establish the value of caregiver involvement, additional studies measuring clinically important outcomes using valid and reliable measures, employing appropriate design and power, and following established reporting guidelines are needed, as is evidence on how such interventions might contribute to health equity.
Article
Full-text available
Objective: To assess if a school based intervention was effective in reducing risk factors for obesity. Design: Group randomised controlled trial. Setting: 10 primary schools in Leeds. Participants: 634 children aged 7-11 years. Intervention: Teacher training, modification of school meals, and the development of school action plans targeting the curriculum, physical education, tuck shops, and playground activities. Main outcome measures: Body mass index, diet, physical activity, and psychological state. Results: Vegetable consumption by 24 hour recall was higher in children in the intervention group than the control group (weighted mean difference 0.3 portions/day, 95% confidence interval 0.2 to 0.4), representing a difference equivalent to 50% of baseline consumption. Fruit consumption was lower in obese children in the intervention group (-1.0, -1.8 to -0.2) than those in the control group. The three day diary showed higher consumption of high sugar foods (0.8, 0.1 to 1.6)) among overweight children in the intervention group than the control group. Sedentary behaviour was higher in overweight children in the intervention group (0.3, 0.0 to 0.7). Global self worth was higher in obese children in the intervention group (0.3, 0.3 to 0.6). There was no difference in body mass index, other psychological measures, or dieting behaviour between the groups. Focus groups indicated higher levels of self reported behaviour change, understanding, and knowledge among children who had received the intervention. Conclusion: Although it was successful in producing changes at school level, the programme had little effect on children's behaviour other than a modest increase in consumption of vegetables.
Article
Full-text available
This model for the management of childhood obesity uses a family-based approach. Change is delivered through the parents (instead of the obese child) emphasizing a healthy lifestyle and not weight reduction as in previously published, family-based management of childhood obesity. This intervention integrates behavioral, social learning, and family system approaches. The proposed approach includes changes in parental cognition, emphasizing “parenthood presence”; parents serve both as a source of authority and a role model for the obese child, providing a family environment that fosters healthy practices related to weight control issues and de-emphasizing personal responsibility for control of health behavior.
Article
Background and objective Obesity is a chronic disease with a complex multifactorial nature which typically begins during childhood and adolescence. It represents one of today's most critical and escalating public health concerns for this segment of the population. The lack of obesity prevalence data at national level prompted the enKid Study (1998-2000), which was designed to evaluate the food habits and nutritional status of Spanish children and youth. Subjects and method Cross-sectional epidemiological study of a representative sample of the Spanish population aged 2 to 24 years (n = 3534). Height and weight measurements were carried out using standard procedures and equipment. Obesity and overweight were defined according to BMI values for the 97th and 85th percentiles, respectively using Spanish reference data provided by Hernández et al (1998). Results The prevalence of obesity in Spain is 13.9%, while the combination of overweight and obesity yields a prevalence of 26.3% (with a prevalence of overweight alone of 12.4%). Obesity is more common in males (15.6%) than in females (12%), which was also true for overweight. With regard to age, a higher prevalence is found among those aged 6 to 13 years. As for the geographic area, Canary Islands and Andalusia show the highest prevalence and the northeast region the lowest. Obesity is also more prevalent among those people with the lowest socioeconomic and educational levels, and in those who omitted or consumed a poor breakfast. Conclusions Compared to other countries, Spain shows an intermediate level of obesity in children and youth. Over the past decades, there has been an increasing trend towards overweight and obesity, which are more prevalent in males and during prepuberal ages.
Article
Context Some observational studies have found an association between television viewing and child and adolescent adiposity.Objective To assess the effects of reducing television, videotape, and video game use on changes in adiposity, physical activity, and dietary intake.Design Randomized controlled school-based trial conducted from September 1996 to April 1997.Setting Two sociodemographically and scholastically matched public elementary schools in San Jose, Calif.Participants Of 198 third- and fourth-grade students, who were given parental consent to participate, 192 students (mean age, 8.9 years) completed the study.Intervention Children in 1 elementary school received an 18-lesson, 6-month classroom curriculum to reduce television, videotape, and video game use.Main Outcome Measures Changes in measures of height, weight, triceps skinfold thickness, waist and hip circumferences, and cardiorespiratory fitness; self-reported media use, physical activity, and dietary behaviors; and parental report of child and family behaviors. The primary outcome measure was body mass index, calculated as weight in kilograms divided by the square of height in meters.Results Compared with controls, children in the intervention group had statistically significant relative decreases in body mass index (intervention vs control change: 18.38 to 18.67 kg/m2 vs 18.10 to 18.81 kg/m2, respectively; adjusted difference −0.45 kg/m2 [95% confidence interval {CI}, −0.73 to −0.17]; P=.002), triceps skinfold thickness (intervention vs control change: 14.55 to 15.47 mm vs 13.97 to 16.46 mm, respectively; adjusted difference, −1.47 mm [95% CI, −2.41 to −0.54]; P=.002), waist circumference (intervention vs control change: 60.48 to 63.57 cm vs 59.51 to 64.73 cm, respectively; adjusted difference, −2.30 cm [95% CI, −3.27 to −1.33]; P<.001), and waist-to-hip ratio (intervention vs control change: 0.83 to 0.83 vs 0.82 to 0.84, respectively; adjusted difference, −0.02 [95% CI, −0.03 to −0.01]; P<.001). Relative to controls, intervention group changes were accompanied by statistically significant decreases in children's reported television viewing and meals eaten in front of the television. There were no statistically significant differences between groups for changes in high-fat food intake, moderate-to-vigorous physical activity, and cardiorespiratory fitness.Conclusions Reducing television, videotape, and video game use may be a promising, population-based approach to prevent childhood obesity.
Article
Objective To develop an internationally acceptable definition of child overweight and obesity, specifying the measurement, the reference population, and the age and sex specific cut off points. Design International survey of six large nationally representative cross sectional growth studies. Setting Brazil, Great Britain, Hong Kong, the Netherlands, Singapore, and the United States Subjects 97 876 males and 94 851 females from birth to 25 years of age Main outcome measure Body mass index (weight/height2). Results For each of the surveys, centile curves were drawn that at age 18 years passed through the widely used cut off points of 25 and 30 kg/m2 for adult overweight and obesity. The resulting curves were averaged to provide age and sex specific cut off points from 2-18 years. Conclusions The proposed cut off points, which are less arbitrary and more internationally based than current alternatives, should help to provide internationally comparable prevalence rates of overweight and obesity in children.