latent growth curve analyses

  • 文章类型: Journal Article
    虽然下腰痛(LBP)可能会持续或随着时间的推移复发,很少有研究长期评估LBP的个体病程,尤其是在老年人中。根据男性纵向骨质疏松性骨折(MrOS)研究的数据,我们旨在识别和描述老年男性不同的LBP轨迹,并对每个轨迹组的成员进行表征.分析了在美国六个地点注册的5,976名社区居民(平均年龄=74.2)。参与者在最长10年内每4个月自我报告一次LBP(是/否)。进行了潜在类别增长建模,以识别解释LBP数据变化的独特LBP轨迹组。使用单变量和多变量多变量逻辑回归评估基线特征与轨迹组成员关系的关联。选择了五类溶液;无/稀有LBP(n=2442/40.9%),低频稳定LBP(n=1040/17.4%),低频增加LBP(n=719/12%),中度频率降低的LBP(n=745/12.5%)和高频稳定的LBP(n=1030/17.2%)。跌倒历史(OR=1.52),LBP病史(OR=6.37),在该老年男性样本中,基线时更高的身体损害(OR=1.51-2.85)和更差的心理功能(OR=1.41-1.62)均与更差的LBP轨迹组相关.这些发现为LBP轨迹恶化或增加以及相关可改变的风险因素的老年男性提供了有针对性的干预和/或管理的机会。减少LBP的影响,提高生活质量。
    Although low back pain (LBP) may persist or recur over time, few studies have evaluated the individual course of LBP over a long-term period, particularly among older adults. Based on data from the longitudinal Osteoporotic Fractures in Men (MrOS) Study, we aimed to identify and describe different LBP trajectories in older men and characterize members in each trajectory group. A total of 5 976 community-dwelling men (mean age = 74.2) enrolled at 6 U.S. sites were analyzed. Participants self-reported LBP (yes/no) every 4 months for a maximum of 10 years. Latent class growth modeling was performed to identify unique LBP trajectory groups that explained variation in the LBP data. The association of baseline characteristics with trajectory group membership was assessed using univariable and multivariable multinominal logistic regression. A 5-class solution was chosen; no/rare LBP (n = 2 442/40.9%), low frequency-stable LBP (n = 1 040/17.4%), low frequency-increasing LBP (n = 719/12%), moderate frequency-decreasing LBP (n = 745/12.5%), and high frequency-stable LBP (n = 1 030/17.2%). History of falls (OR = 1.52), history of LBP (OR = 6.37), higher physical impairment (OR = 1.51-2.85), and worse psychological function (OR = 1.41-1.62) at baseline were all associated with worse LBP trajectory groups in this sample of older men. These findings present an opportunity for targeted interventions and/or management to older men with worse or increasing LBP trajectories and associated modifiable risk factors to reduce the impact of LBP and improve quality of life.
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  • 文章类型: Journal Article
    The potential benefits of participation in extracurricular activities may be especially important for youth who are at risk for academic underachievement, such as low income Mexican-origin youth in the U.S. To advance understanding of factors that drive participation for this population, this study examined Mexican-origin youth\'s trajectories of participation in extracurricular activities across Grades 7-12 and tested theoretically-derived predictors of these trajectories. Participants were 178 adolescents (53.9 % Female, Mage = 12.28) and their mothers who separately completed in-home interviews. Youth reported the frequency of their participation across a range of extracurricular activities. Latent growth curve models of overall extracurricular activities participation, sports participation, and fine arts participation were individually estimated via structural equation modeling. The findings demonstrated developmental declines in overall participation and in sports participation. For fine arts, declines in participation in middle school were followed by subsequent increases during high school (a curvilinear pattern). Motivationally-salient predictors of participation trajectories included youth\'s traditional cultural values orientation (sports), the mothers\' educational aspirations for the youth (sports, fine arts, overall activity), and youth gender (sports, fine arts). Overall, the results suggest variability in participation trajectories based on program type, and highlight the need for additional research to enhance our understanding of the impact of culturally-relevant predictors on participation over time.
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  • 文章类型: Journal Article
    OBJECTIVE: The purpose of this study was to examine the association between depressive symptoms and subsequent body mass index (BMI) z scores among early-to-mid adolescents, extending previous research by using objectively measured weight and height data.
    METHODS: Latent growth curve analysis was used to examine whether growth parameters of zBMI could be predicted by depressive symptoms (n = 2,051 adolescents, 48.5% female, at baseline; 1,465 with data at all three time points). Specifically, we tested whether depressive symptoms were associated with the initial assessment of BMI (intercept) as well as with changes in BMI over time (slope). Analyses were performed for the total group, and separately for boys and girls.
    RESULTS: Depressive symptoms were not associated with the slope of zBMI. In girls, but not boys, depressive symptoms were positively associated with the intercept of zBMI.
    CONCLUSIONS: Findings suggest that although depressive symptoms among females are associated with a higher zBMI, they do not predict excessive weight gain during early-to-mid adolescence.
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