Concordia University

http://www.concordia.ca/content/concordia/en/artsci/math-stats/faculty.html

Lisa Kakinami, PhD (Epidemiology)

Associate Professor, Mathematics and Statistics
Research Member, PERFORM Centre
Cross-appointment, Psychology
Fellow, Science College

Office: S-LB 927-7 
J.W. McConnell Building,
1400 De Maisonneuve Blvd. W.
Phone: (514) 848-2424 ext. 3397
Email: lisa.kakinami@concordia.ca
Website(s): Full publication listing
Montreal Health Statistics Centre

Education

Postdoctoral fellowship: McGill University
Ph.D. (Epidemiology):  University of Rochester School of Medicine and Dentistry, U.S.A.
B.A. (Psychology): University of California, Los Angeles, U.S.A.


Research activities

Research interests

From the perspective of epidemiology and applied (bio)statistics, my research falls into one of three domains within a broad overview of obesity and cardiovascular disease risk:
(1) health methodologies (validation)
(2) the environment (social and built) and health
(3) socioeconomic determinants of health

Keywords: biostatistics, epidemiological methods, longitudinal data, obesity and cardiovascular disease risk

Current projects

- Longitudinal association between parenting style and health risk
- Measurement uncertainty of the built environment
- Health consequences of weight intentions and weight history
- Longitudinal association between neighbourhood socioeconomic position and the built environment on future health 


Teaching activities

Courses

STAT 480/MAST 678: Statistical data analysis
MAST 333: Applied statistics

Student supervision

Currently recruiting:
Undergraduate honours students (Statistics and Psychology)
Science College students (SCOL 290/391/490 projects)
MSc and PhD students (Statistics, Psychology, and INDI)


Selection of recent publications (students supervised denoted with *)

Health methodologies (validation)

1.     *van Rassel CR, *Bewski NA, *O'Loughlin EK, Wright A, *Scheel DP, *Puig L, Kakinami L. Validity of electrical impedance myography to estimate percent body fat: comparison to bio-electrical impedance and dual-energy x-ray absorptiometry. J Sports Med Phys Fitness. 2019;59(4):632-639.

2.     Kakinami L, Henderson M, Chiolero A, Cole TJ, Paradis G. Identifying the best body mass index metric to assess adiposity change in children. Arch Dis Child. 2014;99(11):1020-4.

3.     Kakinami L, Séguin L, Lambert M, Gauvin L, Nikiema B, Paradis G. Comparison of three lifecourse models of poverty in predicting cardiovascular disease risk in youth. Ann Epidemol. 2013;23(8):485-91.

4.     Kakinami L, Henderson M, Delvin EE, Levy E, O’Loughlin J, Lambert M, Paradis G. Association between different growth curve definitions of overweight and obesity and cardiometabolic risk in children. CMAJ.2012;184(10):E539-50.

Environment (social/built) and health

1.     Ghenadenik A, Kakinami L, van Hulst A, Henderson M, Barnett T. Neighbourhoods and obesity: a longitudinal study of characteristics of the built environment and their association with adiposity outcomes in children in Montreal, Canada. Prev Med. 2018;111:35-40.

2.     Kakinami L, Serbin LA, StackDM, *Karmaker SC, Ledingham JE, Schwartzman AE. Neighbourhood disadvantage and behaviouiral problems during childhood and risk of cardiovascular disease and events from a prospective cohort. Prev Med Reports. 2017;5(8):294-300.

3.      Kakinami L, Barnett TA, Paradis G. Parenting style and obesity risk in children. Prev Med. 2015;75:18-22.

Socioeconomic status and health

1.      Kakinami L, *Wissa R, *Khan R, Paradis G, Barnett TA, Gauvin L. The association between income and leisure-time physical activity is moderated by utilitarian lifestyles: A nationally representative US population (NHANES 1999-2014). Prev. Med. 2018;113:147-152.

2.     Kakinami L, Gauvin L, Séguin, L, Lambert M, Nikiema B, Paradis G. Persistent and occasional poverty and children’s food consumption: evidence from a longitudinal Québec birth cohort. J Epidemiol Community Health.2014;68(10): 987-92.

3.     Kakinami L, Gauvin L, Barnett T, Paradis G. Trying to lose weight: the association of income and age to weight loss strategies in the US. Am J Prev Med. 2014;46(6):585-92.

4.     Kakinami L, Séguin L, Lambert M, Gauvin L, Nikiema B, Paradis G. Poverty’s latent effect on adiposity during childhood: evidence from a Québec birth cohort. J Epidemiol Community Health. 2014;68(3):239-45.

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