Oman Roy F, Vesely Sara K, Boeckman Lindsay M, Tolma Eleni L, Aspy Cheryl B
University of Nevada, Reno, Reno, NV;, Email:
University of Oklahoma Health Sciences Center, Oklahoma City, OK.
Am J Health Behav. 2017 Sep 1;41(5):652-660. doi: 10.5993/AJHB.41.5.14.
This study's purpose was to determine if youth race/ethnicity, youth age and sex, parent income and education, household wealth, family poverty, and family structure were prospectively associated with youth assets in a community-based sample of racially/ethnically and economically-diverse youth and their parents.
Five waves of data were collected annually (2003 to 2008) from youth (N = 1111; Mean age = 14.4 years, SD = 1.6) and their parents using in-person, computer-assisted interviewing methods. Marginal logistic regression models and generalized estimating equations were conducted to assess prospective associations between the demographic factors and the number of assets the youth possessed (more than or less than the median number of 12 assets).
Results indicated that 1-parent families (Odds Ratio = 0.62, 95% CIs = 0.50-0.76) lower parental education, (OR = 0.67, CI = 0.48-0.95 and OR = 0.77, CI = 0.61-0.97), and youth age (OR = 0.70, CI = 0.55-0.88 and OR = 0.59, CI = 0.45-0.77) were the only demographic factors that independently, prospectively, and significantly predicted which youth would possess less than the median number of assets.
Youth assets may be 1 mechanism that explains the negative effects of some demographic factors, particularly 1-parent families and low-parent education, on youth risk behaviors and health.
本研究旨在确定在一个种族/民族和经济背景多样的青年及其父母的社区样本中，青年的种族/民族、年龄和性别、父母收入和教育程度、家庭财富、家庭贫困状况以及家庭结构是否与青年资产存在前瞻性关联。
从2003年至2008年，每年使用面对面的计算机辅助访谈方法收集青年（N = 1111；平均年龄 = 14.4岁，标准差 = 1.6）及其父母的五轮数据。采用边际逻辑回归模型和广义估计方程来评估人口统计学因素与青年拥有的资产数量（多于或少于12项资产的中位数）之间的前瞻性关联。
结果表明，单亲家庭（优势比 = 0.62，95%置信区间 = 0.50 - 0.76）、父母教育程度较低（优势比 = 0.67，置信区间 = 0.48 - 0.95以及优势比 = 0.77，置信区间 = 0.61 - 0.97）和青年年龄（优势比 = 0.70，置信区间 = 0.55 - 0.88以及优势比 = 0.59，置信区间 = 0.45 - 0.77）是仅有的能够独立、前瞻性且显著预测哪些青年拥有少于资产中位数数量的人口统计学因素。
青年资产可能是一种机制，可解释某些人口统计学因素，特别是单亲家庭和低父母教育程度，对青年风险行为和健康的负面影响。
