J. Cairney et Tj. Wade, CORRELATES OF BODY-WEIGHT IN THE 1994 NATIONAL-POPULATION HEALTH SURVEY, International journal of obesity, 22(6), 1998, pp. 584-591
OBJECTIVE: This study examines three specific questions about obesity
and overweight, using a nationally representative sample of Canadians.
Are sociodemographic and lifestyle behaviors associated with body wei
ght? is body weight correlated with specific health outcomes? Has the
prevalence of obesity in Canada changed since 1978? METHODS: Secondary
data analysis of a cross-sectional survey. SAMPLE: This study uses th
e 1994 National Population Health Survey (NPHS) by Statistics Canada.
It is a stratified random sample of 19600 Canadians across ail provinc
es. RESULTS: The results show that age, gender, education, birth place
and region, are significantly associated with obesity. When a lower c
riterion is used for overweight and obesity (body mass index, BMI grea
ter than or equal to 25), dummy variables for marital status and occup
ation are also significant. Second, obesity is associated with poorer
self-rated health, high blood pressure, heart disease, diabetes, arthr
itis, respiratory and stomach problems. For those respondents who have
a BMI score of 25 or greater, there is also an association with strok
e. Finally, it is unclear whether the prevalence of obesity has change
d. However, there appears to be a systematic difference between studie
s using actual height and weight measurements (anthropometric) vs self
-reported measurements. CONCLUSIONS: Weight can be considered a modifi
able risk factor and reductions in the prevalence of obesity should re
duce the risk of specific chronic conditions. Provincial variations in
the prevalence of obesity (BMI greater than or equal to 27) and overw
eight and obesity (BMI greater than or equal to 25) suggest that colla
psing provinces into regions may obscure important interprovincial dif
ferences in body weight. More research is required to assess whether o
r not obesity is decreasing in Canada. Some of the limitations of self
-reported data are discussed.