2016
DOI: 10.1155/2016/7014857
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Body Mass Index Trajectories among Middle-Aged and Elderly Canadians and Associated Health Outcomes

Abstract: Background. Whether there is heterogeneity in the development of BMI from middle-age onward is still unknown. The primary aim of this study is to analyze long-term obesity and how BMI trajectories are associated with health outcomes in midlife. Methods. Latent Class Growth Modelling was used to capture the changes in BMI over time. In this study, 3070 individuals from the National Population Health Survey (NPHS), aged 40–55 years at baseline, were included. Results. Four BMI trajectory groups, “Normal-Stable” … Show more

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Cited by 51 publications
(59 citation statements)
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“…Combination of height and weight results in increasing BMI values up to about 60 years and virtually invariant BMI values for older people. Such a levelling off behavior of BMI at about 60 years followed by a slight decay was found also in other studies and seems to reflect rather agingrelated physiological changes than changes of lifestyle (e.g., due to retirement) [21][22][23] .…”
Section: Aging As Seen By Body Indicessupporting
confidence: 82%
“…Combination of height and weight results in increasing BMI values up to about 60 years and virtually invariant BMI values for older people. Such a levelling off behavior of BMI at about 60 years followed by a slight decay was found also in other studies and seems to reflect rather agingrelated physiological changes than changes of lifestyle (e.g., due to retirement) [21][22][23] .…”
Section: Aging As Seen By Body Indicessupporting
confidence: 82%
“…In relation solely to obesity, our ndings in a large general adult population expand on those of a smaller study of 3,070 Canadian adults which similarly found no signi cant change in individuals' BMI over time [26]. Similarly, a retrospective cohort study of 11,735 adults with severe obesity (BMI 35 kg/m 2 or greater)…”
Section: Comparison With Existing Literaturesupporting
confidence: 65%
“…1 19-21 The prevalence of e-cigarette use may differ between smokers and non-smokers and between younger and older adults. A meta-analysis study has demonstrated that smoking status is a determinant of e-cigarette use, 22 and the behaviour of e-cigarette use is also greatly influenced by age. 10 22 It is essential for public health professionals and policymakers to understand the epidemiology of e-cigarette use and relevant correlates within each subgroup of age and smoking status.…”
Section: Strengths and Limitations Of This Studymentioning
confidence: 99%