A comparison of repeat cross-sectional and longitudinal results from the COMPASS study: design considerations for analysing surveillance data over time
暂无分享,去创建一个
Susan J. Elliott | Scott T. Leatherdale | Shannon E. Majowicz | Alexandra E. Butler | Kate Battista | Samantha B. Meyer | S. Leatherdale | S. Elliott | S. Meyer | S. Majowicz | Kate Battista | Alexandra Butler
[1] L. Nyberg,et al. Stability, growth, and decline in adult life span development of declarative memory: cross-sectional and longitudinal data from a population-based study. , 2005, Psychology and aging.
[2] Nancy Darling,et al. Participation in Extracurricular Activities and Adolescent Adjustment: Cross-Sectional and Longitudinal Findings , 2005 .
[3] N. Edwards,et al. Development of measurable indicators to enhance public health evidence-informed policy-making , 2018, Health Research Policy and Systems.
[4] Scott T. Leatherdale,et al. Natural experiment methodology for research: a review of how different methods can support real-world research , 2018, International Journal of Social Research Methodology.
[5] Corinna E Löckenhoff,et al. Personality Across the Life Span. , 2019, Annual review of psychology.
[6] Eva H. Telzer,et al. Activation in Context: Differential Conclusions Drawn from Cross-Sectional and Longitudinal Analyses of Adolescents’ Cognitive Control-Related Neural Activity , 2017, Front. Hum. Neurosci..
[7] Didier Garriguet. Beverage consumption of children and teens. , 2008, Health reports.
[8] Antonio Terracciano,et al. Hierarchical linear modeling analyses of the NEO-PI-R scales in the Baltimore Longitudinal Study of Aging. , 2005, Psychology and aging.
[9] Norman K. Denzin,et al. Triangulation 2.0 * , 2012 .
[10] E. Rehfuess,et al. Facilitating evidence uptake: development and user testing of a systematic review summary format to inform public health decision-making in German-speaking countries , 2018, Health Research Policy and Systems.
[11] M. Palmert,et al. Variation in the timing of puberty: clinical spectrum and genetic investigation. , 2001, The Journal of clinical endocrinology and metabolism.
[12] S. Leatherdale,et al. Trends in youth cannabis use across cannabis legalization: Data from the COMPASS prospective cohort study , 2021, Preventive medicine reports.
[13] J. Zaccai. How to assess epidemiological studies , 2004, Postgraduate Medical Journal.
[14] J. Dettori,et al. Loss to follow-up , 2011, Evidence-based spine-care journal.
[15] L. Mccargar,et al. Reliability and validity of Web-SPAN, a web-based method for assessing weight status, diet and physical activity in youth. , 2012, Journal of human nutrition and dietetics : the official journal of the British Dietetic Association.
[16] S. Maxwell,et al. Bias in cross-sectional analyses of longitudinal mediation. , 2007, Psychological methods.
[17] T. Joiner,et al. Sleep problems outperform depression and hopelessness as cross-sectional and longitudinal predictors of suicidal ideation and behavior in young adults in the military. , 2012, Journal of affective disorders.
[18] J. Toppari,et al. The timing of normal puberty and the age limits of sexual precocity: variations around the world, secular trends, and changes after migration. , 2003, Endocrine reviews.
[19] S. Leatherdale,et al. Reliability and validity of the weight status and dietary intake measures in the COMPASS questionnaire: are the self-reported measures of body mass index (BMI) and Canada’s food guide servings robust? , 2013, International Journal of Behavioral Nutrition and Physical Activity.
[20] Alan C. Evans,et al. Brain development during childhood and adolescence: a longitudinal MRI study , 1999, Nature Neuroscience.
[21] S. Leatherdale,et al. The substance use profile of Canadian youth: exploring the prevalence of alcohol, drug and tobacco use by gender and grade. , 2012, Addictive behaviors.
[22] R. Brownson,et al. Understanding evidence-based public health policy. , 2009, American journal of public health.
[23] J. Robins,et al. Explaining discrepancies between longitudinal and cross-sectional models. , 1986, Journal of chronic diseases.
[24] S. Leatherdale,et al. The COMPASS study: a longitudinal hierarchical research platform for evaluating natural experiments related to changes in school-level programs, policies and built environment resources , 2014, BMC Public Health.
[25] Martijn P. F. Berger,et al. A Comparison of Efficiencies of Longitudinal, Mixed Longitudinal, and Cross-Sectional Designs , 1986 .
[26] D. Normandin,et al. Cross-sectional and longitudinal comparisons of adolescent self-esteem. , 1992, Adolescence.
[27] H. Kraemer,et al. How can we learn about developmental processes from cross-sectional studies, or can we? , 2000, The American journal of psychiatry.
[28] G. Wagner,et al. Personality development in old age relates to physical health and cognitive performance: Evidence from the Berlin Aging Study II , 2016 .
[29] N. Cook,et al. Design and analysis methods for longitudinal research. , 1983, Annual review of public health.
[30] Olga V. Demler,et al. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. , 2005, Archives of general psychiatry.