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Lisa Kakinami, PhD (Epidemiology)

Thesis supervisor Accepting inquiries

  • Associate Professor, Mathematics and Statistics
  • Research Member, PERFORM Centre
  • Affiliate, Department of Health, Kinesiology & Applied Physiology
  • Fellow, Science College

Thesis supervision details


Supervised programs: Mathematics and Statistics (MA, MSc), Health and Exercise Science (MSc), Individualized Program (MA, MSc), Mathematics and Statistics (PhD), Health and Exercise Science (PhD), Individualized Program (PhD)

Contact information

Biography

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 four domains within a broad overview of obesity and cardiovascular disease risk:
(1) health methodologies (validation and epidemiological studies)
(2) weight history, eating behaviours, and health
(3) the environment (social and built) and health
(4) socioeconomic determinants of health

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

Current projects

- Health consequences of weight intentions and weight history
- Obesity methodologies and their prediction of health
- 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
INTE 296/STAT 2096: Discover statistics

Student supervision

Currently recruiting:
Undergraduate honours students (Statistics, Psychology, HKAP)
Science College students (SCOL 290/391/490 projects)
MSc and PhD students (Statistics; Health, Kinesiology & Applied Physiology; INDI)


Selection of recent publications (students supervised denoted with *)

Weight history, eating behaviours, and health

1.    *Yuan TY, *Bouzari N, *Bains A, Cohen TR, Kakinami L. Weight-control compensatory behaviors patterns and correlates: a scoping review. Front Psychol. 2024;15:1383662.

2.   *Sedemedes K, Knäuper B, Sadikaj G, *Yuan TY, Wrosch C, Santosa S, Alberga AS, Kakinami L. Compensatory health motivations and behaviors scale: Development, evaluation, psychometric properties and a preliminary validation. Appetite. 2023; 191:107075.

3.   *Gödde JU, *Yuan TY, Kakinami L, Cohen TR.. Intuitive eating and its association with psychosocial health in adults: A cross-sectional study in a representative Canadian sample. Appetite. 2022; 168: 105782.

4.   Kakinami L, Knäuper B, Brunet J. Weight cycling is associated with adverse cardiometabolic markers in a cross-sectional representative US sample. J Epidemiol Community Health. 2020; 74(8):662-6677. 

5.   *Houle-Johnson SA, Kakinami LDo sex differences in reported weight loss intentions and behaviours persist across demographic characteristics and weight status in youth? A systematic review. BMC Public Health. 2018; 18(1):1343. 

6.   Kakinami L, *Houle-Johnson SA, Demissie Z, Santosa S, Fulton JE. Meeting fruit and vegetable consumption and physical activity recommendations among adolescents intending to lose weight. Prev Med Rep. 2018; 13:11-15. 

Health methodologies (validation and epidemiological studies)

1.   Kakinami L, *Plummer S, Cohen TR, Santosa S, Murphy J. Body-composition phenotypes and their associations with cardiometabolic risks and health behaviours in a representative general US sample. Prev Med. 2022 Nov; 164:107282. 

2.    Kakinami L, *Smyrnova A, Paradis G, Tremblay A, Henderson M. Comparison of different severe obesity definitions in predicting future cardiometabolic risk in a longitudinal cohort of children. BMJ Open. 2022 Jun 15;12(6):e058857.

3.    Kakinami L, *Danieles PK, *Ajibade K, Santosa S, Murphy J. Adiposity and muscle mass phenotyping is not superior to BMI in detecting cardiometabolic risk in a cross-sectional study. Obesity. 2021; 29(8):1279-1284.

4.    *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.

5.    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.

6.    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.   *Infantino E, Barnett TA, Côté-Lussier C, Van Hulst A, Henderson M, Mathieu ME, Sabiston C, Kakinami L. Feeling safe: a critical look at the effect of neighborhood safety features and perceptions on childhood symptoms of depression. BMC Pediatr. 2024;24(1):774.

2.   Kakinami L, *Danieles PK, *Hosseininasabnajar F, Barnett TA, Henderson M, Van Hulst A, Serbin LA, Stack DM, Paradis G. The longitudinal effects of maternal parenting practices on children's body mass index z-scores are lagged and differential. BMC Pediatr. 2023;23(1):270.

3.   Côté-Lussier C, Kakinami L, *Danieles PK. Ego-centered relative neighborhood deprivation and reported dietary habits among youth. Appetite. 2019;132:267-274.

4.   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.

5.   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.

6.    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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