Psychology Department, University of New Mexico.
Dept. of Family & Community Medicine, University of New Mexico, Albuquerque.
Ethn Health. 2022 Oct;27(7):1652-1670. doi: 10.1080/13557858.2021.1925227. Epub 2021 May 10.
This study examined the factor validity of health risk behaviors and resilience indicators and their covariation across a large racially/ethnically diverse adolescent population.
The study subsample (47% Hispanic, 31% White Non-Hispanic, 17% American Indian) was derived from the 2013 New Mexico Youth Risk Resilience Survey (YRRS; N-19,033). We conducted a confirmatory factor analysis on the 6 health risk domains identified by the CDC as contributing most to adolescent morbidity/mortality: (1) cigarette use, (2) alcohol and other illicit drug use, (3) marijuana use, (4) sexual activity, (5) nutrition habits, and (6) physical activity.
A 4-factor CFA model of adolescent health risk behaviors was replicated, and a hypothesized 6-factor structure based on behaviors that contribute most to adolescent morbidity/mortality was confirmed. The pattern of covarying risk behaviors differed by Hispanic, Native American, and Non-Hispanic White groups. We also confirmed a single external resilience-interference factor (decreased parental support, low school/community engagement, negative peer associations) that positively correlated with all six risk behaviors.
This study described the structure of adolescent health risk behaviors within a context of psychosocial resilience for American Indian and Hispanic adolescents in contrast to Non-Hispanic White adolescents. Our findings provided evidence for the construct validity of six health-risk behavior dimensions within a large racially/ethnically diverse adolescent sample, which reveal different patterns of loadings, degrees of model fit, and factor inter-correlations across the three racial/ethnic groups. Patterns of covarying risk behaviors differed in strength and direction by racial/ethnic group. Results suggest that interventions should target multiple behaviors and be tailored for different racial/ethnic groups. Targeting health risk and resilience indicators supports the use of multi-level health interventions at the individual, school, family, and community level by identifying individuals based on external resilience scores.
本研究检验了健康风险行为和适应力指标的因素有效性,以及它们在一个多样化的青少年群体中的变化。
研究子样本(47%为西班牙裔,31%为白种非西班牙裔,17%为美洲印第安人)来自 2013 年新墨西哥州青少年风险适应力调查(YRRS;N-19033)。我们对疾病预防控制中心确定的 6 个对青少年发病率/死亡率贡献最大的健康风险领域进行了验证性因素分析:(1)吸烟,(2)酒精和其他非法药物使用,(3)大麻使用,(4)性行为,(5)营养习惯,和(6)体育活动。
复制了青少年健康风险行为的 4 因素 CFA 模型,并验证了一个基于对青少年发病率/死亡率贡献最大的行为的假设 6 因素结构。西班牙裔、美洲原住民和非西班牙裔白人群体的风险行为变化模式不同。我们还确认了一个单一的外部适应力干扰因素(减少父母支持、低学校/社区参与、消极的同伴关系),它与所有 6 种风险行为呈正相关。
本研究在社会心理适应力的背景下描述了美国印第安人和西班牙裔青少年的青少年健康风险行为结构,与非西班牙裔白种人青少年形成对比。我们的发现为在一个多样化的种族/族裔青少年样本中,六个健康风险行为维度的结构有效性提供了证据,这些发现揭示了三个种族/族裔群体之间的负荷、模型拟合程度和因子相互关联的不同模式。风险行为的变化模式在不同种族/族裔群体中的强度和方向上有所不同。结果表明,干预措施应该针对多种行为,并针对不同的种族/族裔群体进行调整。针对健康风险和适应力指标,可以根据外部适应力得分来识别个体,从而支持在个人、学校、家庭和社区层面上使用多层次的健康干预措施。