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Int J Pediatr Obes. 2008;3(1):58-64. doi: 10.1080/17477160701520132.

Factors associated with obesity in Indonesian adolescents.

Author information

1
Department of Family and Preventive Medicine, University of California, San Diego, La Jolla, USA.

Abstract

OBJECTIVE:

To investigate adolescent eating, activity, and behavioral patterns, and attitudes and their associations with obesity in selected communities in Indonesia.

DESIGN:

A cross-sectional questionnaire and physical measurement-based study in three communities of varying modernization levels in Indonesia (Yogyakarta, Kuta, and Jakarta).

SUBJECTS:

1758 middle school students (aged 12-15 years) recruited at six different schools: one public and one private school in each of the three target communities.

MEASUREMENTS:

The questionnaire collected data on demographic characteristics (age, gender, ethnicity, estimated household income); fast food eating habits (frequency, types of food/restaurant, general beliefs about fast foods); television, computer, and Play Station usage; physical activity (hrs/wk of participation in physical activity, transportation means for attending school); and eating habits (frequency of consuming selected foods and beverages). Student's height and weights were obtained, body mass index (BMI: weight [kg]/height [m(2)]) was calculated, and obesity was defined as ≥95%, using the BMI-for-age cut-offs from the Centers for Disease Control and Prevention (CDC) charts.

RESULTS:

Chi-square analysis revealed associations between obesity and community setting, family income, use of a computer or Play Station, type of transportation to school, and beliefs about fast foods (P<0.01). According to the logistic regression analysis, adolescents from families with incomes over Rp 2 mil were three times as likely to be obese (95% CI 1.9, 4.9) and boys were 2.6 times more likely to be obese (95% CI 1.5, 4.5).

CONCLUSION:

Greater likelihood of obesity among Indonesian adolescents who spend greater amounts of time using a computer or Play Station suggests that such sedentary activities may be replacing physical activity, promoting an energy imbalance, and subsequently, an increased risk for obesity.

PMID:
17852550
DOI:
10.1080/17477160701520132
[Indexed for MEDLINE]

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