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15. Modelling Complex Survey Data Using R, SAS, SPSS and Stata: A Comparison Using CLSA Datasets

Author

So, Hon Yiu, Oz, Urun Erbas, Griffith, Lauren, Kirkland, Susan, Ma, Jinhua, Raina, Parminder, Sohel, Nazmul, Thompson, Mary E., Wolfson, Christina, and Wu, Changbao

Subjects
Statistics - Computation, 62-04 (Primary), 62D05 (secondary)
Abstract

The R software has become popular among researchers due to its flexibility and open-source nature. However, researchers in the fields of public health and epidemiological studies are more customary to commercial statistical softwares such as SAS, SPSS and Stata. This paper provides a comprehensive comparison on analysis of health survey data using the R survey package, SAS, SPSS and Stata. We describe detailed R codes and procedures for other software packages on commonly encountered statistical analyses, such as estimation of population means and regression analysis, using datasets from the Canadian Longitudinal Study on Aging (CLSA). It is hoped that the paper stimulates interest among health science researchers to carry data analysis using R and also serves as a cookbook for statistical analysis using different software packages., Comment: There is a data usage issue with the paper and it is requested by the data owner (CLSA) to withdraw the paper at this time

Published
2020

25. A framework for measurement and harmonization of pediatric multiple sclerosis etiologic research studies: The Pediatric MS Tool-Kit

Author

Magalhaes, Sandra, Banwell, Brenda, Bar-Or, Amit, Fortier, Isabel, Hanwell, Heather E, Lim, Ming, Matt, Georg E, Neuteboom, Rinze F, O’Riordan, David L, Schneider, Paul K, Pugliatti, Maura, Shatenstein, Bryna, Tansey, Catherine M, Wassmer, Evangeline, and Wolfson, Christina

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical Sciences, Neurosciences, Psychology, Multiple Sclerosis, Tobacco, Nutrition, Autoimmune Disease, Prevention, Tobacco Smoke and Health, Pediatric, Neurodegenerative, Brain Disorders, Neurological, Child, Data Collection, Delphi Technique, Europe, Guidelines as Topic, Humans, Risk Factors, Sunlight, Tobacco Smoke Pollution, Vitamin D, Multiple sclerosis, pediatrics, etiology, risk factors, questionnaires, sunlight, vitamin D, tobacco smoke pollution, Neurology & Neurosurgery, Clinical sciences, Biological psychology
Abstract

BackgroundWhile studying the etiology of multiple sclerosis (MS) in children has several methodological advantages over studying etiology in adults, studies are limited by small sample sizes.ObjectiveUsing a rigorous methodological process, we developed the Pediatric MS Tool-Kit, a measurement framework that includes a minimal set of core variables to assess etiological risk factors.MethodsWe solicited input from the International Pediatric MS Study Group to select three risk factors: environmental tobacco smoke (ETS) exposure, sun exposure, and vitamin D intake. To develop the Tool-Kit, we used a Delphi study involving a working group of epidemiologists, neurologists, and content experts from North America and Europe.ResultsThe Tool-Kit includes six core variables to measure ETS, six to measure sun exposure, and six to measure vitamin D intake. The Tool-Kit can be accessed online ( www.maelstrom-research.org/mica/network/tool-kit ).ConclusionThe goals of the Tool-Kit are to enhance exposure measurement in newly designed pediatric MS studies and comparability of results across studies, and in the longer term to facilitate harmonization of studies, a methodological approach that can be used to circumvent issues of small sample sizes. We believe the Tool-Kit will prove to be a valuable resource to guide pediatric MS researchers in developing study-specific questionnaire.

Published
2019

26. Predictors of Retirement Voluntariness Using Canadian Longitudinal Study on Aging Data.

Author

MacLean, Mary Beth, Wolfson, Christina, Hewko, Sarah, Tompa, Emile, Sweet, Jill, and Pedlar, David

Subjects
*PSYCHOLOGICAL aspects of aging, *HEALTH status indicators, *RESEARCH funding, *RETIREMENT, *LOGISTIC regression analysis, *LABOR (Obstetrics), *MULTIVARIATE analysis, *DESCRIPTIVE statistics, *LONGITUDINAL method, *RESEARCH methodology, *LIFE course approach, *EMPLOYMENT, *WELL-being
Abstract

Objectives: Involuntary exit from the labor force can lead to poor health and well-being outcomes. Therefore, the purpose of this research is to better understand the factors that contribute to perceived retirement voluntariness. Methods: We conducted descriptive and multivariable logistic regression analyses using a sample of recent retirees (n = 2080) from the Canadian Longitudinal Study on Aging (CLSA). Results: More than one-quarter (28%) of older workers perceived their retirement to be involuntary. Among 37 possible predictors, 14 directly predicted retirement voluntariness and many more indirectly predicted retirement voluntariness. Only four direct predictors were common to both women and men, retiring because of organizational restructuring/job elimination; disability, health, or stress; financial possibility; and having wanted to stop working. Discussion: Findings suggest the need for employment support, health promotion, work disability prevention, financial education, and support that is sensitive to the differences between women and men to prevent involuntary retirement. [ABSTRACT FROM AUTHOR]

Published
2025
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35. Effect of Age-Friendly Communities Action Plan on Trajectories of Older Canadians’ Depressive Symptoms Between 2018 and 2020: Multilevel Results From the Canadian Longitudinal Study on Aging

Author

Levasseur, Mélanie, primary, Naud, Daniel, additional, Menec, Verena, additional, Dubois, Marie-France, additional, Wolfson, Christina, additional, Griffith, Lauren E., additional, Trottier, Lise, additional, McMillan, Jacqueline, additional, Généreux, Mélissa, additional, Roy, Mathieu, additional, Couturier, Yves, additional, and Raina, Parminder, additional

Published
2024
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36. The Effects of Cognitive Ability, Mental Health, and Self-Quarantining on Functional Ability of Older Adults During the COVID-19 Pandemic: Results From the Canadian Longitudinal Study on Aging.

Author

Gregory, Madeline A., Schaeffer, Morgan J., Reeves, Jennifer T. H., Griffith, Lauren E., Wolfson, Christina, Basta, Nicole E., McMillan, Jacqueline M., Kirkland, Susan, Raina, Parminder, and Paterson, Theone S. E.

Subjects
COVID-19 pandemic, ACTIVITIES of daily living, OLDER people, COGNITIVE ability, MENTAL health
Abstract

Objectives: Determine whether levels of anxiety and depression, cognitive ability, and self-quarantining during and prior to the pandemic predict decreases in perceived functional ability. Design and Setting: Longitudinal data collected from the Canadian Longitudinal Study on Aging (CLSA) COVID-19 Questionnaire Study (2020) and core CLSA study (Follow-Up 1; 2014-2018). Participants: 17 541 CLSA participants. Measurements: Self-quarantining behaviours from questionnaires administered at Baseline (April 2020), Monthly, and Exit (December 2020) time points of the CLSA COVID-19 Questionnaire Study, levels of anxiety and depression at Baseline, perceived change in functional ability at Exit, and performance on neuropsychological tests (Rey Auditory Verbal Learning Task, Mental Alternation Task, Animal Fluency Test) and functional ability (Older Americans Resources and Services [OARS] Multidimensional Assessment Questionnaire) from the core CLSA study. Results: Greater cognitive ability pre-pandemic (B = −.003, P <.01), higher levels of anxiety (B = −.024, P <.01) and depressive symptoms (B = −.110, P <.01) at Baseline, and higher frequency of engaging in self-quarantining throughout the COVID-19 survey period (B = −.098, P <.01) were associated with perceived loss in functional ability at Exit. Self-quarantining behaviour was associated with perceived loss in functional ability only at average and high levels of depressive symptoms (B = −.013, P <.01). Conclusions: Older adults with higher cognitive and lower functional ability prior to the pandemic were at greater risk of decreased perceived functional ability during the first year of the pandemic, as were those who experienced greater levels of anxiety and depressive symptoms during the pandemic. Strategies/interventions to preserve functional ability in older adults with cognitive independence prior to future pandemics are warranted. [ABSTRACT FROM AUTHOR]

Published
2024
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38. Protocol for validating an algorithm to identify neurocognitive disorders in Canadian Longitudinal Study on Aging participants: an observational study

Author

Mayhew, Alexandra J, primary, Hogan, David, additional, Raina, Parminder, additional, Wolfson, Christina, additional, Costa, Andrew P, additional, Jones, Aaron, additional, Kirkland, Susan, additional, O'Connell, Megan, additional, Taler, Vanessa, additional, Smith, Eric E, additional, Liu-Ambrose, Teresa, additional, Ma, Jinhui, additional, Thompson, Mary, additional, Wu, Changbao, additional, Chertkow, Howard, additional, and Griffith, Lauren E, additional

Published
2023
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48. sj-pdf-1-msj-10.1177_13524585231151953 – Supplemental material for A national case–control study investigating demographic and environmental factors associated with NMOSD

Author

Rotstein, Dalia L, Wolfson, Christina, Carruthers, Robert, Freedman, Mark S, Morrow, Sarah A, Lee, Liesly, Burton, Jodie M, Nisenbaum, Rosane, Konig, Andrea, Magalhaes, Sandra, and Marrie, Ruth Ann

Subjects
FOS: Clinical medicine, 111702 Aged Health Care, FOS: Health sciences, 110904 Neurology and Neuromuscular Diseases
Abstract

Supplemental material, sj-pdf-1-msj-10.1177_13524585231151953 for A national case–control study investigating demographic and environmental factors associated with NMOSD by Dalia L Rotstein, Christina Wolfson, Robert Carruthers, Mark S Freedman, Sarah A Morrow, Liesly Lee, Jodie M Burton, Rosane Nisenbaum, Andrea Konig, Sandra Magalhaes and Ruth Ann Marrie in Multiple Sclerosis Journal

Published
2023
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49. Additional file 2 of Increased prevalence of loneliness and associated risk factors during the COVID-19 pandemic: findings from the Canadian Longitudinal Study on Aging (CLSA)

Author

Kirkland, Susan A., Griffith, Lauren E., Oz, Urun Erbas, Thompson, Mary, Wister, Andrew, Kadowaki, Laura, Basta, Nicole E., McMillan, Jacqueline, Wolfson, Christina, and Raina, Parminder

Abstract

Additional file 2. a: Predictors of loneliness during the COVID-19 pandemic, adjusted for pre-pandemic loneliness and participant characteristics in the pre-pandemic period using an alternative cut-off value “≥4”. b: Predictors of loneliness during the COVID-19 pandemic, adjusted for pre-pandemic loneliness and participant characteristics in the pre-pandemic period using an alternative cut-off value “≥6”. c: Predictors of loneliness during the COVID-19 pandemic, adjusted for pre-pandemic loneliness and participant characteristics in the pre-pandemic period using lagged linear regression. d: Predictors of ln(loneliness) during the COVID-19 pandemic, adjusted for pre-pandemic ln(loneliness) and participant characteristics in the pre-pandemic period using lagged linear regression.

Published
2023
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50. Additional file 1 of Increased prevalence of loneliness and associated risk factors during the COVID-19 pandemic: findings from the Canadian Longitudinal Study on Aging (CLSA)

Author

Kirkland, Susan A., Griffith, Lauren E., Oz, Urun Erbas, Thompson, Mary, Wister, Andrew, Kadowaki, Laura, Basta, Nicole E., McMillan, Jacqueline, Wolfson, Christina, and Raina, Parminder

Abstract

Additional file 1. a: Comparison of sociodemographic and health characteristics of the CLSA Baseline cohort and participants completing the COVID-19 Exit Questionnaire. b: Comparison of sociodemographic and health characteristics from CLSA Follow-up1 for participants who completed the COVID-19 Exit questionnaire (n=24,114) and participants who did not completethe COVID-19 Exit questionnaire (n=18,343).

Published
2023
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