title: Obese girls differences in neighbourhood perceptions, screen time and socioeconomic status according to level of physical activity.
abstract: The purpose of this study was to investigate perceptions of neighbourhood, amount of screen time and socioeconomic status (SES) in active and non-active 'overweight/obese girls'. The sample comprised 162 girls aged 14.1 +/- 1.5 years old. Girls were assigned as active obese (AO) and non-active obese (NAO). Environmental variables, screen time and SES were assessed by questionnaire. No statistically significant differences were found for screen time between AO and NAO groups. Educational status of father (r = 0.23; P = 0.003) and mother (r = 0.18; P = 0.02) was positively and significantly associated with AO. AO girls reported to more significantly (P < 0.05) agree with living in a neighbourhood with several public recreation facilities and that they see people being physically active in neighbourhood. Logistic regression analysis showed that social environment [odds ratio (OR) = 15.06; P = 0.037] and recreational facilities domain (OR = 11.16; P = 0.042) were associated to likelihood to be more active. Creating social support and providing PA facilities within neighbourhoods, particularly in low SES neighbourhoods, are desirable.
authors.affiliation: Research Centre in Physical Activity, Health.eisure, Faculty of Sport Sciences, University of Porto, R Plácido Costa, Porto, Portugal. jmota@fade.up.pt
authors.forename: Jorge
authors.initials: J
authors.lastname: Mota
authors.forename: José Carlos
authors.initials: JC
authors.lastname: Ribeiro
authors.forename: Maria Paula
authors.initials: MP
authors.lastname: Santos
mesh_terms: D000293:Adolescent; D003201:Computers / Q000706:statistics & numerical data*; D004777:Environment; D015444:Exercise; D005260:Female; D006801:Humans; D009765:Obesity / Q000453:epidemiology*; D010465:Perception; D011998:Recreation; D012111:Residence Characteristics; D012931:Social Environment; D012959:Socioeconomic Factors; D013690:Television / Q000706:statistics & numerical data*