16 research outputs found

    Micronesian migrant health issues in Hawai’i: Part 1: Background, home island data, and clinical evidence

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    Abstract Up to 15,000 or more Micronesian migrants currently live in Hawaii. Factors driving this recent emigration include inadequate employment opportunities, a limited economic base, and insufficient health and educational infrastructures in the U.S. affiliated Micronesian island entities in the Western Pacific. The aim of this study was to examine reasons why Micronesians were relocating to Hawaii, since there was evidence of healthcare related migration. This study provides the results of an assessment of health and key social determinants among Micronesian migrants conducted in 2007. Results show that diabetes is the most prevalent reported medical condition (35%) among adults >40 years of age. Micronesian migrants in Hawaii report coming to Hawaii for health care, but also for educational and employment opportunities

    Head Start Wellness Policy Intervention in Hawaii: A Project of the Children's Healthy Living Program

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    Background: The increased prevalence of childhood overweight and obesity across the United States and the Pacific has become a serious public health concern, with especially high prevalence among Native Hawaiian and Pacific Islander (NHPI) children. This study aimed to measure the effect of a Head Start (HS) policy intervention for childhood obesity prevention. Methods: Twenty-three HS classrooms located in Hawaii participated in the trial of a 7-month policy intervention with HS teachers. Classroom- and child-level outcome assessments were conducted, including: the Environment and Policy Assessment and Observations (EPAO) of the classroom environment; plate waste observations to assess child intake of fruit and vegetables; and child growth. Results: The intervention showed a positive and significant effect on classroom EPAO physical activity (PA) and EPAO total scores. Although mean BMI z-score (zBMI) increased at postintervention for both intervention (mean = 0.60; standard deviation [SD], 1.16; n = 114) and delayed-intervention groups (mean = 0.35; SD, 1.17; n = 132), change in zBMI was not significantly different between the groups (p = 0.50; p = 0.48). Conclusions: These findings contribute evidence on the potential for HS wellness policy to improve the PA environment of HS classrooms. More research is needed to link these policy changes to other child outcomes

    The Influence of Health Behaviors During Childhood on Adolescent Health Behaviors, Health Indicators, and Academic Outcomes Among Participants from Hawaii

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    Background/purpose: Health behaviors during childhood may influence adolescent health behaviors and be related to other important outcomes, but no longitudinal research has examined this in a multicultural population in Hawaii to date. This study investigated if childhood moderate to vigorous physical activity (MVPA), fruit and vegetable consumption, and sedentary behavior influence adolescent (1) MVPA, fruit and vegetable consumption, and sedentary behavior; (2) body mass index (BMI) percentile, general health, and stress; and (3) school marks and school absenteeism. Methods: Three cohorts of public elementary school children (fourth to sixth graders) who participated in a state-mandated after-school program in 2004, 2005, and 2006 completed baseline (demographics, MVPA, fruit and vegetable consumption, and sedentary behavior) and 5-year follow-up surveys (demographics, MVPA, fruit and vegetable consumption, and sedentary behavior; BMI, general health, stress, school marks, and absenteeism; combined follow-up n = 334; 14.76 ± 0.87 years old; 55.1% female; 53% Asian, 19.8% Native Hawaiian/other Pacific Islander, 15.3% White, and 11.9% other). Results: Regressions found that childhood MVPA (mean [m] = 45.42, standard deviation [SD] = 31.2 min/day) and fruit and vegetable consumption (m = 6.96, SD = 4.54 servings/day) predicted these behaviors in adolescence (m = 47.22, SD = 27.04 min/day and m = 4.63, SD = 3.03 servings/day, respectively, p < 0.05). Childhood sedentary behavior (m = 3.85, SD = 2.85 h/day)) predicted adolescent BMI percentile (m = 60.93, SD = 28.75, p < 0.05). Childhood fruit and vegetable consumption and sedentary behavior negatively predicted adolescent marks (B average, p < 0.05). Conclusions: Childhood health behaviors do influence adolescent health behaviors, some health outcomes, and some academic indicators in this population, especially childhood sedentary behavior, which underlines the importance of sedentary behavior interventions
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