Adolescents establish patterns of behavior and make lifestyle choices that affect their future health during their transition from childhood to adulthood. They struggle with behaviors, such as physical activity and nutrition, which will affect their risk of developing chronic diseases in adulthood. A comprehensive, easy to administer instrument is needed that is both research worthy and clinically useful in order to assess adolescent lifestyle behaviors and to plan interventions appropriately. The purpose of this paper is to report the development and testing of the Adolescent Lifestyle Profile (ALP), a Likert-type instrument to measure seven domains of a health-promoting lifestyle in adolescents. The ALP was modeled after the Health Promoting Lifestyle Profile II (HPLP II) and tested in a sample of early adolescents. Internal consistency reliability, including Cronbach's alpha, item to total correlations and subscale to total scale correlations and construct validity, including concurrent validity testing and factor analysis, indicated that the ALP is a reliable and valid scale that can be used to assess healthy lifestyle domains in adolescents.
"Six factors related to healthy lifestyles were identified from the EFA. These results are similar to the previous studies that also identified six factors related to health-promoting concepts in Taiwanese and American adolescents, respectively. However, an early study by Gillis identified seven factors related to health-promoting and health-protecting behaviors. "
[Show abstract][Hide abstract] ABSTRACT: Lifestyle choices and individuals' behaviors have the potential to influence health and improve the quality of life.
The purpose of this study was to develop and psychometrically test an instrument for measuring healthy lifestyle in Iranian adolescents.
A comprehensive literature review related to health-promoting lifestyles was used to identify potential scale items. Data were collected from 797 school students. Construct validity was analyzed using exploratory factor analysis. Confirmatory factor analysis (CFA) was used to cross-validate.
Nine factors emerged that explained 59.8% of the variance in the 43 items. Cronbach's α coefficient Healthy Lifestyle Questionnaire was r=0.82. After the model was modified, the fit indices indicated that the data were an adequate-to-good fit to the proposed models.
The current study provides some support to the internal and external validity of the healthy lifestyles questionnaire for Iranian adolescents.
"Frequency estimations for participation in spiritual health promoting behaviors were defined by the 10 th and 90 th percentile as: infrequent (≤ 10 th P; score: ≤ 2.0); moderately frequent (> 10 th P but < 90 th P, score: 2.0–3.6) and frequent participation (≥ 90 th P, score: 3.7–4.0). Validation studies of the ALP-R2 and its subscales have included African American youth from 11 through 22 years of age (Hendricks et al., 2001, 2006). The average reliability estimate for the norm cohorts was .82. "
[Show abstract][Hide abstract] ABSTRACT: Very little is known about predictors of subjective health status among African American adolescents. This study was designed to determine whether selected anthropometric, psychological, lifestyle behavioral, and structural variables predicted poor self-rated general health in a cross-sectional nonclinical sample of 310 female African American adolescents, 14-18 years old. The odds of reporting poor self-rated health were 2-3 times greater for African American teens from lower socioeconomic households when compared to teens residing in higher socioeconomic households and for those reporting infrequent participation in activities that promote spiritual well-being compared to those who participate more frequently in activities that enhance spiritual health. Findings indicate that socioeconomic level and engagement in behaviors that enhance healthy spirituality appear to be the most salient predictors of self-rated health. In addition to biodiversity considerations that influence perceptions of health status, culturally focused interventions should integrate variables shown to influence self-rated health among African American teens. These inclusions may inform a more integrated understanding of health, health outcomes, and health disparities in this vulnerable population.
Research in Nursing & Health 06/2012; 35(3):219-30. DOI:10.1002/nur.21473 · 1.27 Impact Factor
"The adolescent health promotion (AHP) scale was developed in Taiwan and is commonly used to evaluate health-promoting lifestyles . There are several other similar scales [27–29]; however, the AHP has also been validated for use in China and the United States of America . Validation of the AHP scale for use in middle-eastern countries such as Kuwait would be a primary step towards evaluating the current health status of college students in an effort to shape their future health outcomes. "
[Show abstract][Hide abstract] ABSTRACT: Our aim was to explore the social and health factors that are associated with the level of physical activity among Kuwaiti college students. A random sample of 787 students (48% males and 52% females) was chosen and weight and height were measured to obtain body mass index (BMI, kg/m(2)). Associated social and health factors were obtained using a questionnaire. Those reporting being physically inactive numbered 354 and the remaining 433 were active. Obesity among males was 13% and was 10.5% among females. The social and health factors that were found to be significantly associated with physical activity among the students were gender (P < .001), marital status (P < .05), BMI category (obese or nonobese) (P < .05), last dental and health checkup (P < .01), desiring a higher degree (P < .001), and countries preferred for visiting (P < .01). Males significantly exceeded females in the practice of physical activity. In conclusion, behavioural modifications, intervention studies, and health education touting the benefits of being physically active should be instituted to increase the practice of sports and other physical activities in order to control and decrease obesity-related morbidity and mortality.
Journal of obesity 04/2011; 2011(2090-0708):512363. DOI:10.1155/2011/512363
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