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www.usask.ca Dietary Intake and Overweight in children aged 10-14 years in Saskatoon Canada Public Health Association, Annual Conference Toronto May 26-29, 2014 Ha Le, PhD candidate Community Health and Epidemiology

Ha Le, PhD candidate Community Health and Epidemiology

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Dietary Intake and Overweight in children aged 10-14 years in Saskatoon Canada Public Health Association, Annual Conference Toronto May 26-29, 2014. Ha Le, PhD candidate Community Health and Epidemiology. Overview. Background Purpose Methods Results Conclusions. Background. - PowerPoint PPT Presentation

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Page 1: Ha Le, PhD candidate Community Health and Epidemiology

www.usask.ca

Dietary Intake and Overweight in children aged 10-14 years in Saskatoon

Canada Public Health Association, Annual ConferenceToronto May 26-29, 2014

Ha Le, PhD candidateCommunity Health and Epidemiology

Page 2: Ha Le, PhD candidate Community Health and Epidemiology

www.usask.ca

Overview

• Background• Purpose• Methods• Results• Conclusions

Page 3: Ha Le, PhD candidate Community Health and Epidemiology

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Background

The global burden of obesity among children and aldolescents is estimated to be 1 in 10 (Lobstein T et al, 2014)

Dramatic temporal increases in the prevalence of overweight and obesity in Canadian children (31.5% for children 5-17 years old, CCHS 2009-2011)

Dietary intake is a corner stone of weight management across the life cycle and play important role in influencing the likelihood of being overweight during childhood and adolescence.

Page 4: Ha Le, PhD candidate Community Health and Epidemiology

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The purpose of this study is to examine dietary intake and the association between overweight and nutrition-related factors among children aged 10-14 years old in Saskatoon who participated in the ‘Smart Cities and Healthy Kids – Food environment Study’

Purpose

Page 5: Ha Le, PhD candidate Community Health and Epidemiology

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Methods (1)

1408 children, ages of 10 -14 years, from all residential neighbourhoods in Saskatoon (n=61) were surveyed at school in March/April 2012.

Survey instrument included• questions on socio-demographic characteristics• the Harvard Youth and Adolescent Food Frequency

Questionnaire (YAQ) for dietary assessment (147 items)

Page 6: Ha Le, PhD candidate Community Health and Epidemiology

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Methods (2)

We assessed students’ dietary intake and compared this with the Canadian food group and nutrient recommendations.

Children’s height and weight were measured and BMI calculated using the age and sex specific BMI calculator from the WHO (2007), AnthroPlus version 3.1.

Using WHO reference (2007), we classified children as normal weight (+/-1SD), overweight or obese (greater than +1SD) and obese (greater than +2SD).

Page 7: Ha Le, PhD candidate Community Health and Epidemiology

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Methods (3)

Data was evaluated using SPSS version 18 Logistic regression was performed using 3 models to

determine the associations between overweight and frequency of consumption for the four food groups

• Model 1 included overweight and frequency of consumption of a food group controlling for socio-demographic variables

• Model 2 was the same as Model 1 but included additional simulteneous adjustments for the frequency of comsumption of all other 3 food groups

• Model 3 included all significant variables at p-value<0.05

Page 8: Ha Le, PhD candidate Community Health and Epidemiology

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Results

Page 9: Ha Le, PhD candidate Community Health and Epidemiology

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Food group Recommended # Servings/Day

Mean # Servings/Day

Less than the minimum recommended servings/Day (%)

Grain products 6 4.2 83.2 (81.3-85.2) Vegetables & Fruit 6 4.3 79.2 (77.1-81.3) Milk products 3-4 3.1 52.7 (50.0-55.3) Meat & Alternatives 1-2 1.4 33.9 (31.4-36.4)

Recommended and Observed Number of Servings

from Canada’s Food Guide for Healthy Eating

Page 10: Ha Le, PhD candidate Community Health and Epidemiology

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Prevalence of Inadequate Dietary IntakeSaskatoon study vs. Nova Scotia study

83.279.2

52.7

33.9

54.449.9

42.3

73.7

0

10

20

30

40

50

60

70

80

90

Grain products Vegetables & Fruit Milk products Meat & Alternatives

Saskatoon Study

NS Study

Page 11: Ha Le, PhD candidate Community Health and Epidemiology

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Macronutrient intake DRI Category Reference Value Mean (SD) % of Inadequacy Carbohydrate (%) AMDR 45-65 56.6 (6.2) 10.2 (2.3 + 7.9) Protein (%) AMDR 10-30 16.5 (3.2) 1.6 (1.6+0) Fat (%) AMDR 25-35 28.0 (5.0) 29.9 (24.4+5.5) Fibre (g) AI

Males 31 15.6 (8.9) Females 26 14.8 (7.6)

DRI: Dietary Reference Intakes. AMDR: Acceptable Macronutrient Distribution Range. AI: Adequate Intake

Macronutrient intake

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Vitamins and Minerals DRI Category Reference Value

Mean (SD) % of Inadequacy

Vitamin A (RAE) EAR Males 445 910.0 (530.2) 18.7

Females 420 858.4 (469.3) 16.5 Vitamin D (IU) EAR 400 238.5 (161.4) 83.7 Vitamin C (mg) EAR 39 118.2 (85.1) 12.6 Folate (DFE) EAR 250 325.4 (167.7) 36.1 Calcium (mg) EAR 1100 1063.9 (574.3) 56.0 Iron (mg) EAR

Males 5.9 12.3 (6.7) 10.3 Female 5.7 11.2 (5.3) 10.8

Zinc (mg) EAR 7.0 9.3 (4.6) 32.3 Sodium (mg) UL 2200 2218.3 (1114.0) EAR: Estimated Average Requirement. AI: Adequate Intake. UL: Upper Limit

Vitamins and Minerals

Page 13: Ha Le, PhD candidate Community Health and Epidemiology

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51

24.3

12

36.3

0

10

20

30

40

50

60

Normal Overw eight Obese Overw eight/Obese

Overweight/Obesity

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Overweight and frequency of food group consumption

Quartile (Q) Median servings/d

Model 1 OR (95% CI)

Model 2 (95% CI)

Fruit and Vegetables Q1 1.7 1.00 1.00 Q2 3.1 1.21(0.84-1.75) 1.23 (0.84-1.81) Q3 4.5 0.88 (0.60-1.28) 0.89 (0.59-1.34) Q4 6.9 0.83 (0.57-1.22) 0.91 (0.58-1.41) Dairy Q1 1.2 1.00 1.00 Q2 2.2 0.76 (0.53-1.10) 0.77 (0.53-1.13) Q3 3.5 0.77 (0.54-1.12) 0.76 (0.51-1.12) Q4 5.2 0.63 (0.43-0.92) 0.67 (0.44-1.02) Grain Q1 2.2 1.00 1.00 Q2 3.3 0.92 (0.64-1.33) 0.85 (0.57-1.28) Q3 4.4 0.96 (0.67-1.39) 0.86 (0.56-1.33) Q4 6.4 0.79 (0.47-1.02) 0.65 (0.39-1.07) Meat and alternatives Q1 0.6 1.00 1.00 Q2 1.1 1.22 (0.84-1.79) 1.41 (0.95-2.10) Q3 1.5 1.33 (0.92-1.93) 1.72 (1.12-2.65) Q4 2.2 1.06 (0.73-1.55) 1.59 (0.98-2.57)

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Overweight and associated risk factors Associated factors Percentage OR (95% CI)

Milk products Q1 25% 1.00 Q2 25% 0.74 (0.51-1.07) Q3 25% 0.73 (0.50-1.06) Q4 25% 0.59 (0.40-0.87) Dairy Q1 25% 1.00 Q2 25% 1.31 (0.90-1.93) Q3 25% 1.47 (1.01-2.14) Q4 25% 1.23 (0.83-1.82) Gender Female 56.1 1.00 Male 43.9 2.31 (1.77-3.00) Age 10 19.2 1.00 11 28.8 1.68 (1.10-2.57) 12 25.4 1.94 (1.26-2.98) 13 19.7 3.44 (2.22-5.33) 14 7.0 3.53 (2.00-6.20) Aboriginal status Other 85.9 1.00

Aboriginal status 14.1 2.17 (1.48-3.18) Family economic situation

Wealthy 12.3 1.00 Average 82.1 1.27 (0.85-1.92) Poor 5.6 2.19 (1.12-4.28)

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Conclusions

Dietary intake among adolescent children in Saskatoon is relatively poor.

The proportion of children who are overweight/obese in Saskatoon (36.3%) is higher than that of Canadian children (31.5%).

Significant differences observed in prevalence of overweight across gender, age, aboriginal status and SES.

A protective association for consumption of dairy and a neagative association for consumption of meats and alternatives was observed among children living in Saskatoon

The development of evidence-based policies and prevention initiatives targeting children and their families may improve dietary quality and prevent obesity.

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Reference

Lobstein T, Baur L, Uauy R: Obesity in children and young people: A crisis in public health. Obes Rev 2004, 5(Suppl 1):4-104

Matthews, V. L., Wien, M., & Sabaté, J. (2011). The risk of child and adolescent overweight is related to types of food consumed. Nutr J, 10(1), 71-74.

Veugelers, P. J., Fitzgerald, A. L., & Johnston, E. (2005). Dietary intake and risk factors for poor diet quality among children in

Nova Scotia. Canadian Journal of Public Health, 96(3).

Page 18: Ha Le, PhD candidate Community Health and Epidemiology

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Acknowledgement

Dr. Nazeem Muhajarine Dr. Rachel Engler-Stringer Tracy Ridalls and SCHK research team

Page 19: Ha Le, PhD candidate Community Health and Epidemiology

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Thank you