14 results on '"Najman, J M"'
Search Results
2. Genome-wide association meta-analysis of childhood and adolescent internalizing symptoms
- Author
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Jami, E. S. (Eshim S.), Hammerschlag, A. R. (Anke R.), Ip, H. F. (Hill F.), Allegrini, A. G. (Andrea G.), Benyamin, B. (Beben), Border, R. (Richard), Diemer, E. W. (Elizabeth W.), Jiang, C. (Chang), Karhunen, V. (Ville), Lu, Y. (Yi), Lu, Q. (Qing), Mallard, T. T. (Travis T.), Mishra, P. P. (Pashupati P.), Nolte, I. M. (Ilja M.), Palviainen, T. (Teemu), Peterson, R. E. (Roseann E.), Sallis, H. M. (Hannah M.), Shabalin, A. A. (Andrey A.), Tate, A. E. (Ashley E.), Thiering, E. (Elisabeth), Vilor-Tejedor, N. (Natalia), Wang, C. (Carol), Zhou, A. (Ang), Adkins, D. E. (Daniel E.), Alemany, S. (Silvia), Ask, H. (Helga), Chen, Q. (Qi), Corley, R. P. (Robin P.), Ehli, E. A. (Erik A.), Evans, L. M. (Luke M.), Havdahl, A. (Alexandra), Hagenbeek, F. A. (Fiona A.), Hakulinen, C. (Christian), Henders, A. K. (Anjali K.), Hottenga, J. J. (Jouke Jan), Korhonen, T. (Tellervo), Mamun, A. (Abdullah), Marrington, S. (Shelby), Neumann, A. (Alexander), Rimfeld, K. (Kaili), Rivadeneira, F. (Fernando), Silberg, J. L. (Judy L.), van Beijsterveldt, C. E. (Catharina E.), Vuoksimaa, E. (Eero), Whipp, A. M. (Alyce M.), Tong, X. (Xiaoran), Andreassen, O. A. (Ole A.), Boomsma, D. I. (Dorret, I), Brown, S. A. (Sandra A.), Burt, S. A. (S. Alexandra), Copeland, W. (William), Dick, D. M. (Danielle M.), Harden, K. P. (K. Paige), Harris, K. M. (Kathleen Mullan), Hartman, C. A. (Catharina A.), Heinrich, J. (Joachim), Hewitt, J. K. (John K.), Hopfer, C. (Christian), Hypponen, E. (Elina), Järvelin, M.-R. (Marjo-Riitta), Kaprio, J. (Jaakko), Keltikangas-Jarvinen, L. (Liisa), Klump, K. L. (Kelly L.), Krauter, K. (Kenneth), Kuja-Halkola, R. (Ralf), Larsson, H. (Henrik), Lehtimaki, T. (Terho), Lichtenstein, P. (Paul), Lundstrom, S. (Sebastian), Maes, H. H. (Hermine H.), Magnus, P. (Per), Munafo, M. R. (Marcus R.), Najman, J. M. (Jake M.), Njolstad, P. R. (Pal R.), Oldehinkel, A. J. (Albertine J.), Pennell, C. E. (Craig E.), Plomin, R. (Robert), Reichborn-Kjennerud, T. (Ted), Reynolds, C. (Chandra), Rose, R. J. (Richard J.), Smolen, A. (Andrew), Snieder, H. (Harold), Stallings, M. (Michael), Standl, M. (Marie), Sunyer, J. (Jordi), Tiemeier, H. (Henning), Wadsworth, S. J. (Sally J.), Wall, T. L. (Tamara L.), Whitehouse, A. J. (Andrew J. O.), Williams, G. M. (Gail M.), Ystrom, E. (Eivind), Nivard, M. G. (Michel G.), Bartels, M. (Meike), Middeldorp, C. M. (Christel M.), Jami, E. S. (Eshim S.), Hammerschlag, A. R. (Anke R.), Ip, H. F. (Hill F.), Allegrini, A. G. (Andrea G.), Benyamin, B. (Beben), Border, R. (Richard), Diemer, E. W. (Elizabeth W.), Jiang, C. (Chang), Karhunen, V. (Ville), Lu, Y. (Yi), Lu, Q. (Qing), Mallard, T. T. (Travis T.), Mishra, P. P. (Pashupati P.), Nolte, I. M. (Ilja M.), Palviainen, T. (Teemu), Peterson, R. E. (Roseann E.), Sallis, H. M. (Hannah M.), Shabalin, A. A. (Andrey A.), Tate, A. E. (Ashley E.), Thiering, E. (Elisabeth), Vilor-Tejedor, N. (Natalia), Wang, C. (Carol), Zhou, A. (Ang), Adkins, D. E. (Daniel E.), Alemany, S. (Silvia), Ask, H. (Helga), Chen, Q. (Qi), Corley, R. P. (Robin P.), Ehli, E. A. (Erik A.), Evans, L. M. (Luke M.), Havdahl, A. (Alexandra), Hagenbeek, F. A. (Fiona A.), Hakulinen, C. (Christian), Henders, A. K. (Anjali K.), Hottenga, J. J. (Jouke Jan), Korhonen, T. (Tellervo), Mamun, A. (Abdullah), Marrington, S. (Shelby), Neumann, A. (Alexander), Rimfeld, K. (Kaili), Rivadeneira, F. (Fernando), Silberg, J. L. (Judy L.), van Beijsterveldt, C. E. (Catharina E.), Vuoksimaa, E. (Eero), Whipp, A. M. (Alyce M.), Tong, X. (Xiaoran), Andreassen, O. A. (Ole A.), Boomsma, D. I. (Dorret, I), Brown, S. A. (Sandra A.), Burt, S. A. (S. Alexandra), Copeland, W. (William), Dick, D. M. (Danielle M.), Harden, K. P. (K. Paige), Harris, K. M. (Kathleen Mullan), Hartman, C. A. (Catharina A.), Heinrich, J. (Joachim), Hewitt, J. K. (John K.), Hopfer, C. (Christian), Hypponen, E. (Elina), Järvelin, M.-R. (Marjo-Riitta), Kaprio, J. (Jaakko), Keltikangas-Jarvinen, L. (Liisa), Klump, K. L. (Kelly L.), Krauter, K. (Kenneth), Kuja-Halkola, R. (Ralf), Larsson, H. (Henrik), Lehtimaki, T. (Terho), Lichtenstein, P. (Paul), Lundstrom, S. (Sebastian), Maes, H. H. (Hermine H.), Magnus, P. (Per), Munafo, M. R. (Marcus R.), Najman, J. M. (Jake M.), Njolstad, P. R. (Pal R.), Oldehinkel, A. J. (Albertine J.), Pennell, C. E. (Craig E.), Plomin, R. (Robert), Reichborn-Kjennerud, T. (Ted), Reynolds, C. (Chandra), Rose, R. J. (Richard J.), Smolen, A. (Andrew), Snieder, H. (Harold), Stallings, M. (Michael), Standl, M. (Marie), Sunyer, J. (Jordi), Tiemeier, H. (Henning), Wadsworth, S. J. (Sally J.), Wall, T. L. (Tamara L.), Whitehouse, A. J. (Andrew J. O.), Williams, G. M. (Gail M.), Ystrom, E. (Eivind), Nivard, M. G. (Michel G.), Bartels, M. (Meike), and Middeldorp, C. M. (Christel M.)
- Abstract
Objective: To investigate the genetic architecture of internalizing symptoms in childhood and adolescence. Method: In 22 cohorts, multiple univariate genome-wide association studies (GWASs) were performed using repeated assessments of internalizing symptoms, in a total of 64,561 children and adolescents between 3 and 18 years of age. Results were aggregated in meta-analyses that accounted for sample overlap, first using all available data, and then using subsets of measurements grouped by rater, age, and instrument. Results: The meta-analysis of overall internalizing symptoms (INToverall) detected no genome-wide significant hits and showed low single nucleotide polymorphism (SNP) heritability (1.66%, 95% CI = 0.84–2.48%, neffective = 132,260). Stratified analyses indicated rater-based heterogeneity in genetic effects, with self-reported internalizing symptoms showing the highest heritability (5.63%, 95% CI = 3.08%–8.18%). The contribution of additive genetic effects on internalizing symptoms appeared to be stable over age, with overlapping estimates of SNP heritability from early childhood to adolescence. Genetic correlations were observed with adult anxiety, depression, and the well-being spectrum (|rg| < 0.70), as well as with insomnia, loneliness, attention-deficit/hyperactivity disorder, autism, and childhood aggression (range |rg| = 0.42–0.60), whereas there were no robust associations with schizophrenia, bipolar disorder, obsessive-compulsive disorder, or anorexia nervosa. Conclusion: Genetic correlations indicate that childhood and adolescent internalizing symptoms share substantial genetic vulnerabilities with adult internalizing disorders and other childhood psychiatric traits, which could partially explain both the persistence of internalizing symptoms over time and the high comorbidity among childhood psychiatric traits. Reducing phenotypic heterogeneity in childhood samples will be key in paving the way to future GWAS success.
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- 2022
3. Young adult pregnancy status and the risk of developing overweight and obesity among women and men
- Author
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Mamun, A. A., primary, McIntyre, D. H., additional, Najman, J. M., additional, Williams, G. M., additional, Khatun, M., additional, Finlay, J., additional, and Callaway, L., additional
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- 2018
- Full Text
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4. Commentary on Ally et al. (2016): Can alcohol market segmentation provide a basis for alcohol policy?
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Najman, J M
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Research Report ,Drinking culture ,Alcohol Drinking ,Ethanol ,policy analysis ,drinking occasion ,latent class analysis ,Public Policy ,Research Reports ,typology ,practice - Abstract
Background and aims The concept of national drinking culture is well established in research and policy debate, but rarely features in contemporary alcohol policy analysis. We aim to demonstrate the value of the alternative concept of social practices for quantitatively operationalizing drinking culture. We discuss how a practice perspective addresses limitations in existing analytical approaches to health‐related behaviour before demonstrating its empirical application by constructing a statistical typology of British drinking occasions. Design Cross‐sectional latent class analysis of drinking occasions derived from retrospective 1‐week drinking diaries obtained from quota samples of a market research panel. Occasions are periods of drinking with no more than 2 hours between drinks. Setting Great Britain, 2009–11. Cases A total of 187 878 occasions nested within 60 215 nationally representative adults (aged 18 + years). Measurements Beverage type and quantity per occasion; location, company and gender composition of company; motivation and reason for occasion; day, start‐time and duration of occasion; and age, sex and social grade. Findings Eight occasion types are derived based primarily on parsimony considerations rather than model fit statistics. These are mixed location heavy drinking (10.4% of occasions), heavy drinking at home with a partner (9.4%), going out with friends (11.1%), get‐together at someone's house (14.4%), going out for a meal (8.6%), drinking at home alone (13.6%), light drinking at home with family (12.8%) and light drinking at home with a partner (19.6%). Conclusions An empirical model of drinking culture, comprising a typology of drinking practices, reveals the dominance of moderate drinking practices in Great Britain. The model demonstrates the potential for a practice perspective to be used in evaluation of how and why drinking cultures change in response to public health interventions.
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- 2016
5. The association between adolescent psychopathology and subsequent physical activity in young adulthood: a 21-year birth cohort study
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Suetani, S., primary, Mamun, A., additional, Williams, G. M., additional, Najman, J. M., additional, McGrath, J. J., additional, and Scott, J. G., additional
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- 2017
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6. Trajectories of maternal depression: a 27-year population-based prospective study
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Najman, J. M., primary, Plotnikova, M., additional, Williams, G. M., additional, Alati, R., additional, Mamun, A. A., additional, Scott, J., additional, Wray, N., additional, and Clavarino, A. M., additional
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- 2016
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7. Cost-effectiveness of counselling as a treatment option for methamphetamine dependence
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Ciketic, Sadmir, Hayatbakhsh, Mohammad R, McKetin, Rebecca, Doran, Christopher, Najman, J M, Ciketic, Sadmir, Hayatbakhsh, Mohammad R, McKetin, Rebecca, Doran, Christopher, and Najman, J M
- Abstract
Introduction and aims: Illicit methamphetamine (MA) use is an important public health concern. There is a dearth of knowledge about effective and cost-effective treatments for methamphetamine (MA) dependence in Australia. This article evaluates the cost-effectiveness of counselling as a treatment option for illicit MA use compared with no treatment option. Design and methods: Data are from 501 individuals recruited into Methamphetamine Treatment Evaluation Study (MATES). The population of MA users from MATES is extrapolated to a total number of 1000 MA users in the intervention group (counselling treatment) and control group (non-treatment group). A decision analytic model is developed that examines the costs and health outcomes [measures as quality adjusted life years (QALYs) gained] for the treatment and comparison group over a 3-year period. A societal perspective is adopted and model inputs are subject to sensitivity and uncertainty analysis to test the robustness of results to parameter variability. Results are discounted by using 3% discount rate and expressed in 2011 Australian dollars. Results: The incremental cost-effectiveness analysis suggests that counselling is a dominant health care intervention, i.e. saves money and is more effective than a do nothing intervention. The incremental difference in costs is -AU$18.36 million (95% CI -AU$22.80 million to -AU$14.31 million) and the incremental difference in QALY is 107 (95% CI -640 to 820) with a probability of 78.64% of counselling being a dominant and cost-effective treatment within the acceptable incremental cost-effectiveness ratio (ICER) of $63832 per QALY in the Australian society. The results of the sensitivity analysis show that the ICER is most sensitive to change in five major inputs: baseline utility, utility at 3 months, dealing crime costs, property crime costs and fraud crime costs. Discussion and Conclusions: The economic evaluation of the cost-effectiveness of counselling for MA dependence
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- 2015
8. How can data harmonisation benefit mental health research? An example of The Cannabis Cohorts Research Consortium
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Hutchinson, D. M., Silins, E., Mattick, Richard P, Patton, G. C., Fergusson, D. M., Hayatbakhsh, R., Toumbourou, J. W., Olsson, C. A., Najman, J. M., Spry, E., Tait, R. J., Degenhardt, L., Swift, W., Butterworth, P., Horwood, L John, Hutchinson, D. M., Silins, E., Mattick, Richard P, Patton, G. C., Fergusson, D. M., Hayatbakhsh, R., Toumbourou, J. W., Olsson, C. A., Najman, J. M., Spry, E., Tait, R. J., Degenhardt, L., Swift, W., Butterworth, P., and Horwood, L John
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- 2015
9. Generational increase in obesity among young women: a prospective analysis of mother–daughter dyads
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Alati, R, primary, Betts, K S, additional, Williams, G M, additional, Najman, J M, additional, Zalbahar, N, additional, and Mamun, A, additional
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- 2015
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10. The association between adolescent psychopathology and subsequent physical activity in young adulthood: a 21-year birth cohort study.
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Suetani, S., Mamun, A., Williams, G. M., Najman, J. M., McGrath, J. J., and Scott, J. G.
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EXERCISE ,LONGITUDINAL method ,PATHOLOGICAL psychology ,SELF-evaluation ,WALKING ,LOGISTIC regression analysis ,PHYSICAL activity ,ADULTS - Abstract
Background. The beneficial effects of physical activity (PA) for both physical and mental wellbeing are well established. Given that adolescence presents a critical developmental period during which life-long patterns of PA become established, the exploration of the longitudinal impact of adolescent psychopathology on adult PA status is of interest. Methods. We analysed prospective data from 3663 young adults who participated in the Mater-University of Queensland Study of Pregnancy. Psychopathology was measured using the Youth Self-Report (YSR) at age 14. Participants' engagement in three types of PA (vigorous exercise, moderate exercise and walking) at age 21 were dichotomised into either 'none' or 'any'. For our main analysis, we examined the association between the YSR score and subsequent PA engagement using logistic regression. We also conducted sensitivity analyses of longitudinal associations between the YSR internalising and externalising symptoms score at age 14 and PA engagement at age 21. Results. We found no longitudinal association between the total YSR score at age 14 and PA engagement at age 21. In addition, there was no longitudinal association between the YSR internalising or externalising symptoms and PA engagement. Conclusion. Our findings suggest that there is no longitudinal association between adolescent psychopathology and PA in young adulthood. [ABSTRACT FROM AUTHOR]
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- 2018
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11. Trajectories of maternal depression: a 27-year population-based prospective study.
- Author
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Najman, J. M., Plotnikova, M., Williams, G. M., Alati, R., Mamun, A. A., Scott, J., Wray, N., and Clavarino, A. M.
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- 2017
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12. Commonly occurring adverse birth outcomes and maternal depression: a longitudinal study.
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Kingsbury, A. M., Plotnikova, M., and Najman, J. M.
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MENTAL depression , *LONGITUDINAL method , *EVALUATION of medical care , *OBESITY , *PREGNANCY , *TEENAGE pregnancy , *SOCIOECONOMIC factors , *BEHAVIOR disorders , *HUMAN research subjects , *DISEASE progression - Abstract
OBJECTIVES: Little is known about whether commonly occurring adverse birth outcomes have a long-term impact on the mental health of mothers. The aim of this study was to investigate whether commonly occurring adverse birth outcomes predicted mothers' depressive-symptom trajectories over a 27-year period following the birth of a baby. STUDY DESIGN: Longitudinal study. METHODS: Participants comprised a sub-group of women from the longitudinal cohort of the Mater and University of Queensland Study of Pregnancy. Maternal depression was measured at six time points from the first clinic visit of an index pregnancy to 27 years after birth. A semi-parametric mixture model was used to identify three symptom trajectories of low-stable, moderate-stable and moderate-rising depression. Multinomial logistic regression was then used to determine whether a number of commonly occurring birth outcomes predicted moderate-stable and/or moderate-rising depression trajectories over the subsequent 27 years. Sociodemographic and behavioural factors were used to adjust for possible confounding. RESULTS: After adjustment for potential confounders, none of the adverse birth outcomes predicted subsequent maternal depression trajectories. Teenage pregnancy, not completing high school, low family income, obesity, poorer quality partnership and not exercising, measured at women's first clinic visit, and small social networks at three to five days after birth, were significantly associated with women's moderate-rising depressive-symptoms trajectory over 27 years. [ABSTRACT FROM AUTHOR]
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- 2018
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13. Does having a difficult child lead to poor maternal mental health?
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Kingsbury, Ann M., Clavarino, Alexandra, Mamun, Abdullah, Saiepour, Nargess, and Najman, J. M.
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MENTAL illness risk factors , *BEHAVIOR disorders in children , *CONFIDENCE intervals , *LONGITUDINAL method , *MOTHER-child relationship , *PSYCHOLOGY of mothers , *LOGISTIC regression analysis , *ODDS ratio - Abstract
Objectives: Considerable evidence suggests maternal psychopathology influences that of their offspring. The probability of a reverse causal pathway has been only rarely considered but is a concern, given around 10% of children manifest mental impairment during their early years. This study determines the extent to which child behavior problems at ages 5 and 14 years are associated with mothers' mental health at 21 years post birth. Study design: Longitudinal study. Methods: Data were taken from a sample of 3650 women from Mater and University of Queensland Study of Pregnancy birth cohort. Women's mental health was measured using the Mental Disorder Screening Tool at 21 years post birth. The Child Behavior Check List was used to measure internalizing, combined social/attention/thought disorder, and aggression at the age of 5 and 14 years. Logistic regression was used to derive odds ratios and 95% confidence intervals. A number of confounders were used to test for independence. Results: Following all adjustments, child internalizing behaviors and combined social/ attention/thought disorder at 5 years, and all measures of child behavior problem at 14 years were associated with mothers meeting criteria for mental health impairment at 21 years post birth. Moreover mothers of children with behavior problems at 14 years were approximately 2-3 times more likely to these meet these criteria. Conclusions: Mothers of children with behavior problems at 5 and 14 years of age were more likely to have mental health impairment at 21 years post birth. Child health professionals should be cognizant of the motherechild relationship having mutual mental health vulnerability. [ABSTRACT FROM AUTHOR]
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- 2017
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14. Does attrition affect estimates of association: A longitudinal study.
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Saiepour N, Najman JM, Ware R, Baker P, Clavarino AM, and Williams GM
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- Adolescent, Adult, Aged, Female, Humans, Mental Disorders epidemiology, Middle Aged, Pregnancy, Pregnancy, Unplanned, Risk Factors, Smoking epidemiology, Socioeconomic Factors, Young Adult, Data Interpretation, Statistical, Health Status, Longitudinal Studies, Lost to Follow-Up, Outcome Assessment, Health Care standards
- Abstract
Survey research frequently involves missing cases attributable to refusals to participate, lack of success in accessing all potential respondents or loss to follow-up in longitudinal studies. There is concern that those not recruited or those lost are a select group whose absence from a study may bias the findings of the study. This study provides a test of the extent to which selective loss to follow-up in a longitudinal study may lead to biased findings. The Mater-University Study of Pregnancy collected baseline information for 7718 pregnant women. Follow-ups occurred five years, 14 years, 21 years and 27 years after the birth, for 6753 eligible women. Participants at baseline were partitioned according to follow-up status for each follow-up. We compare baseline (at recruitment) measures of association, with these same measures of association for those retained in the study (Group A) and those lost to follow-up (Group B) at each phase of data. Using univariate logistic regression we compared the strength of association between maternal mental health and various baseline socio-demographic factors for different rates of loss to follow-up. Estimates of association at baseline, and at each follow-up are similar irrespective of the rate of loss to follow-up and whether the comparison is with those retained in the study or those lost to follow-up. There were no statistically significant differences in 90.8% of baseline comparisons with Group A, and 96.9% of comparisons with Group B measures of association. We conclude that differential loss to follow-up rarely affects estimates of association. We suggest that loss to follow-up may produce misleading findings only in circumstances where loss to follow-up is combined with a number of other sources of bias., (Copyright © 2018. Published by Elsevier Ltd.)
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- 2019
- Full Text
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