growth trajectories

增长轨迹
  • 文章类型: Journal Article
    这项研究旨在确定出生前6年的PM2.5暴露与儿童生长轨迹之间的关系。从2011年至2013年在武汉进行的前瞻性出生队列中,共招募了47,625对母亲和儿童。中国,并跟踪了6年。我们使用基于组的轨迹模型将人口分为三个轨迹组:缓慢增长(n=13,671,28.7%),正常生长(n=29,736,62.4%),快速增长(n=4218,8.9%)。使用多项逻辑回归模型来确定产前PM2.5暴露与儿童生长轨迹的关联。与正常的增长轨迹相比,在妊娠1、2和整个妊娠期间,PM2.5暴露增加与缓慢生长轨迹的风险增加显著相关,但降低了快速增长轨迹的风险,产前PM2.5暴露与快速生长轨迹的显著关联仅在3个月观察到.分层分析显示,母亲年龄超过35岁的母亲之间的关联相对更强,孕前BMI≥25kg/m2,既往分娩经验。产前暴露于PM2.5,特别是在怀孕的中点,更有可能具有缓慢的增长轨迹和较低的快速增长轨迹的风险。产妇年龄,孕前BMI,和以前的交付经验可能会修改这些关联。
    This study aimed to determine the relationships between prenatal PM2.5 exposure and childhood growth trajectories during the first 6 years of life. A total of 47,625 pairs of mothers and children were recruited from a prospective birth cohort conducted between 2011 and 2013 in Wuhan, China, and followed for 6 years. We used the group-based trajectory models to classify the population into three trajectory groups: slow growth (n = 13,671, 28.7%), normal growth (n = 29,736, 62.4%), and rapid growth (n = 4218, 8.9%). Multinomial logistic regression models were used to determine the associations of prenatal PM2.5 exposure and childhood growth trajectories. Compared to normal growth trajectory, increased PM2.5 exposure in trimester 1, trimester 2 and the entire pregnancy showed significant associations with an increased risk of the slow growth trajectory but reduced the risk for the rapid growth trajectory, significant association of prenatal PM2.5 exposure with rapid growth trajectory was only observed in the trimester 3. Stratified analyses displayed relatively stronger associations among those mothers with maternal age over 35 years, pre-pregnancy BMI ≥ 25 kg/m2, and previous delivery experience. Prenatal exposure to PM2.5, particularly during the midpoint period of pregnancy, was more likely to have a slow growth trajectory and a lower risk of rapid growth trajectory. Maternal age, pre-pregnancy BMI, and previous delivery experience might modify these associations.
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  • 文章类型: Journal Article
    在他的职业生涯中,JohnSchulenberg挑战我们将青少年发展理解为远端和近端经历以及关键过渡的融合。听从这个电话,我们研究了慢性儿童同伴受害是否通过早期出现的抑郁生长轨迹预测青少年的抑郁症状,继续受害到青春期,以及中学过渡时的压力放大。从636名青年(338名女孩;法师=7.96岁,66.7%白色,21.7%黑色,其他11.6%)在2-9年级。潜在增长曲线分析显示,七年级,慢性儿童同伴受害仅通过与青春期同伴受害的间接关联与抑郁症状相关,强调相互关联的历史和持续的人际压力源如何影响青少年精神病理学。
    Throughout his career, John Schulenberg challenged us to understand adolescent development as the confluence of distal and proximal experiences along with critical transitions. Heeding this call, we examined whether chronic childhood peer victimization predicted adolescents\' depressive symptoms via early-emerging depression growth trajectories, continued victimization into adolescence, and stress-amplification at the middle school transition. Self-reported depressive symptoms and teacher-reported and self-reported peer victimization were obtained from 636 youth (338 girls; Mage = 7.96 years, 66.7% White, 21.7% Black, 11.6% other) in the 2nd-9th grades. Latent growth curve analyses revealed that, by 7th grade, chronic childhood peer victimization was associated with depressive symptoms only through an indirect association with peer victimization in adolescence, underscoring how interrelated historical and ongoing interpersonal stressors contribute to adolescent psychopathology.
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  • 文章类型: Journal Article
    精心设计的出生队列能够估计各种健康事件/结果的患病率/分布,并将早期生命起源与成人健康和功能联系起来。在过去的二十年中,新出生队列的建立及其伴随的研究激增。我们讨论了当前出生队列研究的不同设计,回顾他们的成就,并强调了从出生队列研究中获得的见解,以及我们面临的挑战。出生队列研究为确定短期和长期健康的决定因素提供了越来越多的机会,提供大量证据来揭示疾病和表型的生物学机制,并为公共卫生提供进一步的见解。动态监测,精确测量,长期随访,在新的出生队列中,有必要进行协作努力,以阐明当代生命历程关系的本质。
    Well-designed birth cohorts are able to estimate prevalence/distribution of various health events/outcomes, and to link early-life origins with adult health and function. The past two decades have seen a surge in the establishment of new birth cohorts and their accompanying research. We discussed distinct designs of current birth cohort studies, reviewed their achievements, and highlighted insights obtained from birth cohort studies, as well as challenges we are facing. Birth cohort studies are providing increasing opportunities to identify determining factors for short- and long-term health, yielding substantial evidence to uncover biological mechanisms of diseases and phenotypes, and providing further insights for public health. Dynamic monitoring, accurate measurements, long-term follow-ups, and collaborative efforts are warranted in new birth cohorts to elucidate the nature of life course relationships in contemporary generation.
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  • 文章类型: Journal Article
    To accurately explore the interaction mechanism between Escherichia coli and Staphylococcus aureus, we designed an ecological experiment to monoculture and co-culture E. coli and S. aureus. We co-cultured 45 strains of E. coli and S. aureus, as well as each species individually to measure growth over 36 h. We implemented a genome wide association study (GWAS) based on growth parameters (λ, R, A and s) to identify significant single nucleotide polymorphisms (SNPs) of the bacteria. Three commonly used growth regression equations, Logistic, Gompertz, and Richards, were used to fit the bacteria growth data of each strain. Then each equation\'s Akaike\'s information criterion (AIC) value was calculated as a commonly used information criterion. We used the optimal growth equation to estimate the four parameters above for strains in co-culture. By plotting the estimates for each parameter across two strains, we can visualize how growth parameters respond ecologically to environment stimuli. We verified that different genotypes of bacteria had different growth trajectories, although they were the same species. We reported 85 and 52 significant SNPs that were associated with interaction in E. coli and S. aureus, respectively. Many significant genes might play key roles in interaction, such as yjjW, dnaK, aceE, tatD, ftsA, rclR, ftsK, fepA in E. coli, and scdA, trpD, sdrD, SAOUHSC_01219 in S. aureus. Our study illustrated that there were multiple genes working together to affect bacterial interaction, and laid a solid foundation for the later study of more complex inter-bacterial interaction mechanisms.
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  • 文章类型: Journal Article
    Air pollution exposure during pregnancy has been documented to be associated with impaired fetal growth and adverse birth outcomes, but the evidence regarding the effects of air pollution on early childhood growth is still limited.
    We aimed to explore the associations of exposure to air pollutants during pregnancy with childhood growth trajectories from birth to age of 6 years.
    A prospective cohort study based on the administrative registration system was conducted covering 62,540 births in Wuhan, China between January 1, 2011 and December 31, 2013 and followed for 6 years. Inverse distance weighted method was used to estimate the concentrations of air pollutants exposure for pregnant women. Group-based trajectory models (GBTM) were used to identify growth patterns of children: slow growth, normal growth, and rapid growth. Multinomial logistic regression models were used to examine the associations between prenatal exposure to air pollutants and childhood growth trajectories with adjustment for maternal age, educational status, pre-pregnancy BMI, residential areas, gestational diabetes, birth type, gender of infant, and breastfeeding duration.
    The mean (SD) of prenatal exposure concentrations for PM10, SO2, NO2, CO, and O3 were 107.9 (30.4), 32.8(12.6), 55.8(13.1), 1081.2(293.1), and 81.6(31.0) μg/m3 respectively. Compared with normal growth trajectory, increased PM10 and CO exposure were significantly associated with higher risk of slow growth trajectory but lower risk of rapid growth trajectory. An increase in prenatal exposure to NO2 significantly increased both the risk of slow growth trajectory and rapid growth trajectory. Increased prenatal SO2 exposure was significantly associated with rapid growth trajectory and was not associated with low growth trajectory. With O3 exposure levels increased, risk to be rapid growth trajectory decreased. Prenatal air pollutants exposure had a greater impact on childhood growth of children who were girls, and those mothers lived in rural areas and were normal weight before pregnancy.
    High levels of air pollutants exposure during pregnancy were associated with the risk of being in a trajectory with the deviation of BMI gain from birth to 6 years old. These findings suggest that efforts to identify children at risk of growth deviation in early childhood should pay attention to environmental exposure during pregnancy for their mothers.
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