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Child Health Status 2011
Queensland Report
Division of the Chief Health Officer
Queensland Health
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© Queensland Health 2011
Copyright protects this publication. However, Queensland Health has no objection to this material being
reproduced with acknowledgement, except for commercial purposes. Permission to reproduce for
commercial purposes should be sought from the Policy and Quality Officer, Queensland Health, GPO
Box 48, Brisbane Qld 4001.
Suggested citation: Queensland Health. Child health survey 2011: Queensland report. Queensland
Health: Brisbane; 2011.
This document is also available on the Queensland Health internet site at
http://www.health.qld.gov.au/epidemiology/default.asp
Acknowledgements
• This report was prepared by Nelufa Begum, Claire deBatts, Susan Clemens and Catherine Harper
of the Population Epidemiology Unit, Strategic Partnerships and Epidemiology Branch,
Preventative Health Directorate, Division of the Chief Health Officer.
• The survey was developed by Catherine Harper, Susan Clemens, and Darren White of the
Population Epidemiology Unit.
• The Child Health Status 2011 survey was funded by the Division of the Chief Health Officer,
Queensland Health.
• Thanks are due to the individuals within the Preventative Health Directorate who provided expert
advice during the development of the survey or reports and to the thousands of Queenslanders
who gave their time to share their experiences and contribute to this research.
For further information or a copy of this report, contact:
Population Epidemiology Unit
Strategic Partnerships and Epidemiology Branch
Preventative Health Directorate
Division of the Chief Health Officer
Queensland Health
PO Box 2368
Fortitude Valley BC
QLD 4006
PEU_surveys@health.qld.gov.au
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Summary of health indicators
Children aged 5 to 17 years:
Queensland 2011
(a)
Includes non-diet soft drink, sport drink, energy drink and flavoured water.
(b)
One hour or more of physical activity per day.
(c)
One hour or more in the past week.
(d)
Includes walking or transport by bicycle, skateboard or scooter on a usual week.
Indicator (proxy reported)
Age Group
(years)
Prevalence
%
95% confidence
Interval
Body Mass Index (BMI)
Underweight 5-17 7.0 5.9-8.3
Healthy weight 5-17 66.4 64.2-68.5
Overweight 5-17 18.1 16.5-19.9
Obese 5-17 8.5 7.3-9.8
Overweight/Obese 5-17 26.6 24.7-28.6
Fruit and vegetable consumption
Adequate fruit intake 5-17 59.6 57.4-61.7
Mean daily fruit intake 5-17 1.9 1.8-1.9
Adequate vegetable intake 5-17 29.2 27.2-31.3
Mean daily vegetable intake 5-17 2.1 2.0-2.2
Drink consumption
Non-diet soft drink at least daily 5-17 6.5 5.5-7.7
Diet soft drink at least daily 5-17 2.1 1.6-2.8
Non-diet flavoured drink
(a)
at least daily 5-17 8.6 7.4-9.9
Food habits
Takeaway food at least weekly 5-17 47.6 45.3-49.8
Usually drink full cream milk 5-17 66.0 63.9-68.1
Breakfast every day 5-17 88.5 87.0-89.9
Dinner eaten in front of TV every day 5-17 13.5 12.1-15.1
Physical activity
Active every day of the past week
(b)
5-17 44.0 41.8-46.2
Physical education in school
(c)
5-17 71.8 69.6-73.9
One or more hours of organised sport in school
(c)
5-17 52.1 49.8-54.3
Active every day of a usual week
(b)
5-17 37.8 35.6-40.0
Screen-based entertainment
Minutes per week (mean) 5-17 731 710-753
Two or more hours per day 5-17 43.3 41.1-45.5
Commute to or from school
Any active transport
(d)
5-17 29.8 27.8-32.0
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Summary of key indicators for comparison to CHS 2009
Children aged 5 to 15 years:
Queensland 2011
(a)
Any participation in organised sport in the past week.
Indicator (proxy reported)
Age Group
(years)
Prevalence
%
95% confidence
Interval
Body Mass Index (BMI)
Underweight 5-15 7.1 5.9-8.5
Healthy weight 5-15 64.7 62.3-67.0
Overweight 5-15 18.8 16.9-20.7
Obese 5-15 9.4 8.1-11.0
Overweight/Obese 5-15 28.2 26.1-30.5
Fruit and vegetable consumption
Adequate fruit intake
5-15 67.3 65.0-69.6
Mean daily fruit intake
5-15 1.9 1.9-2.0
Adequate vegetable intake
5-15 31.4 29.2-33.6
Mean daily vegetable intake
5-15 2.1 2.0-2.1
Food habits
Takeaway food at least weekly 5-15 45.4 43.0-47.8
Screen viewing
Two or more hours per day of screen-based
entertainment
5-15 41.8 39.4-44.2
Physical activity
Any participation in organised sport in school
(a)
5-15 57.1 54.6-59.4
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Introduction
The Child Health Status (CHS) survey series is conducted about biennially to provide accurate and
timely information on the health of Queensland children. This report summarises health information
collected by the CHS 2011 survey. Information is used to monitor, understand, and respond to changes
in the occurrence of behaviours that may put children’s health at risk as they grow up. The information
is used by the Queensland Government to report against key health indicators for state wide health
initiatives, as well as to meet nationally standardised health reporting requirements.
Methods
The CHS 2011 survey was commissioned by Queensland Health and conducted between 08/06/2011
and 28/07/2011 using computer assisted telephone interviewing (CATI) methodology by a specialist
CATI provider. Data were not collected during the school term holidays (27/06/2011 to 14/07/2011)
which also included the week following school term holidays in order that questions about events over
the previous week accurately reflected usual activities.
Interviews were conducted with parents or guardians who provided information regarding their child’s
health and lifestyle. The average interview length was 12 minutes. Trained telephone interviewers and
supervisors conducted and monitored the interviews.
Combinations of daytime and evening interviewing sessions were used to give parents, particularly shift
workers, every opportunity to participate. Standard interviewing sessions were Monday to Friday 9:00
am–8:30 pm, Saturday 10:00 am–3:00 pm and Sunday 11:00 am–4:00 pm. Once a household was
contacted, every effort was made to obtain an interview from the parent, including multiple call backs
and scheduling to suit the respondent.
The CHS adheres to all applicable legislation and standards such as the Privacy Act (1988), the Public
Health Act (2009), the Telemarketing and Research Calls Industry Standard (2007) and has been
approved by a Human Research Ethics Committee.
There were 2,484 respondents to the survey throughout Queensland. The response rate achieved was
86% of the contacted in-scope households.
Target population and sample frame
The target population for the survey was households in Queensland with at least one child aged
between 5 and 17 years. From each selected private household the parent or guardian who was the
primary caregiver provided information on the child who had most recently had a birthday.
The CHS used a randomly generated telephone number sampling frame which permitted the inclusion
of unlisted and silent numbers. The sample of telephone numbers was sourced from a specialist
random telephone number sampling frame provider. A small, but unknown, proportion of the target
population was excluded from selection in the survey because their household did not have a fixed
telephone. The inclusion of mobile telephone numbers in CATI sampling frames has recently been
demonstrated to have no significant effects on reported prevalence of preventive health indicators in
South Australia.
1
Survey measures
The questionnaire for the survey was developed by Queensland Health specifically for this purpose. To
ensure quality data, the questionnaire was based on instruments validated by other researchers,
recommendations by expert working groups, or questions successfully used previously by Queensland
Health and/or other state health jurisdictions.
The CHS 2011 collected information for the following health areas:
• Nutrition • Height and weight
• Soft drink consumption • Screen time
• Food habits • Transport to and from school
• Physical activity • Household socio-demographics
The health areas included on the CHS 2011 are similar to those on the CHS 2009. In several instances,
identical questionnaire items were used and data are therefore comparable. For others, while the
content area is similar, different questionnaire items were used and findings should not be compared.
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Additional information regarding questionnaire items and comparability with previous years is included
at the end of this report in “Additional methodological information specific for this report”.
Weighting
Data presented in this report are weighted by the age and sex distribution of children aged 5 to 17 for
Queensland as reported in the Estimated Resident Population (ERP) for Queensland 2009.
2
The data
were also weighted for the number of children in that age group per household and the number of fixed
telephone lines to the household. The weighted results and associated confidence intervals can be
considered an accurate representation of the demographic profile of the 5 to 17 year old residents of
Queensland.
Additional information regarding data collection methods, including a copy of the questionnaire, may be
obtained from Population Epidemiology Unit by contacting the investigators at the email address
included on the inside front cover of this report.
Guide to interpretation
This CHS 2011 was designed for Queensland level reporting and all results have been population
weighted. Population weighting adjusts for over- or under-representation of subpopulations during data
collection (see Weighting section above). Population weighted prevalence is used to compare different
subpopulations within a geographic area, for example different age groups, or between males and
females. Population weighted prevalence is also used to indicate the number of cases in an area, for
example the number of children that are of a healthy weight in Queensland. This information is valuable
for service planning.
The 2010 ERP for Queensland children aged 5-17 years was 773,586, comprised of 396,877 boys and
376,709 girls. Some indicators in the reports are for the specific age groups of 5-7 years (172,537
children), 8-11 years (234,998 children), 12-15 years (241,472 children) and 16-17 years (124,579
children). Where appropriate, these demographic data have been used to estimate the number of
people in Queensland with specific health related attributes.
Reliability of estimates
In this report, 95% confidence intervals (CI) and relative standard error (RSE) are used to demonstrate
the precision of the estimates. The CI is a range of values that would contain the true population value
95% of the time if this survey were repeated on multiple samples. It is a function of sample size and
prevalence of the health factor being investigated, thus, smaller sample sizes result in larger confidence
intervals and a less precise estimate.
RSE is calculated by dividing the standard error of the estimate by the estimate itself and is expressed
as a percentage of the estimate. It is particularly useful when assessing the reliability of estimates with
large confidence intervals. As based on methodology used by the Australian Bureau of Statistics,
prevalence with RSE less than 25% are considered reliable, prevalence with an RSE between 25% and
50% should be interpreted with caution (marked with ‘*’) and prevalence with an RSE greater than 50%
are not considered reliable and are not included in the tables (marked with ‘**’). Only estimates with an
RSE less than 25% are noted in text or indicated as different in tables.
Additionally, reliability of an estimate may be reduced when there are few respondents with that
characteristic or when a subpopulation (for example, youth aged 16–17 years) for which you want
information hasn’t achieved a sufficient sample size. In rare circumstances, a trait may be infrequent
enough that publication of the result would compromise strict privacy protocols. For these reasons,
findings are only reported when
• At least 10 respondents report the characteristic of interest, and
• There are at least 30 respondents in the subpopulation, and
• There are at least 50 respondents in the total population (this was not encountered in the
course of these analyses).
The reliability of an estimate may also be affected when the sample doesn’t reflect the demographic
characteristics of the population.
Table 1 presents the number of respondents (Sample n), weighted sample percent and 2010 ERP by
demographic categories for Queensland. When the sample size is small or where the weighted sample
percent varies markedly from the 2010 ERP, estimates will be less reliable. This is most likely to be
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observed in the youngest and oldest age categories or by area of socioeconomic
advantage/disadvantage.
Table 1: Number of completed interviews by age, sex, socioeconomic status and remoteness,
Queensland, 2011
Males Females Persons
Sample
Weighted
sample
2010
ERP
Sample
Weighted
sample
2010
ERP
Sample
Weighted
sample
2010
ERP
n % % % n % % % n % % %
5-17 years
1,292 52.0 51.3 51.3 1,192 48.0 48.7 48.7 2,484 100 100 100
Age group
5-7 years 307 54.0 51.3 51.4 261 46.0 48.7 48.6 568 22.9 22.1 22.3
8-11 years 378 50.9 51.3 51.3 365 49.1 48.7 48.7 743 29.9 30.4 30.4
12-15 years 400 52.2 51.2 51.1 366 47.8 48.8 48.9 766 30.8 31.4 31.2
16-17 years 207 50.9 51.3 51.5 200 49.1 48.7 48.5 407 16.4 16.1 16.1
Socioeconomic advantage/disadvantage (persons 5-17 years)
(a)
Disadvantaged 250 54.1 53.7 51.6 212 45.9 46.3 48.4 462 18.6 19.0 20.2
Quintile 2 259 52.1 51.1 51.5 238 47.9 48.9 48.5 497 20.0 20.5 20.6
Quintile 3 248 48.6 47.1 51.3 262 51.4 52.9 48.7 510 20.5 20.6 21.0
Quintile 4 281 53.6 54.1 51.0 243 46.4 45.9 49.0 524 21.1 21.1 19.9
Advantaged 253 51.6 50.2 51.2 237 48.4 49.8 48.8 490 19.7 18.8 18.4
Remoteness (persons 5-17 years)
2006
ERP
(b)
Major cities 704 52.7 52.5 51.1 631 47.3 47.5 48.9 1,335 53.7 53.0 54.7
Inner regional 284 48.2 47.5 51.3 305 51.8 52.5 48.7 589 23.7 24.0 22.8
Outer regional 242 55.6 54.2 51.4 193 44.4 45.8 48.6 435 17.5 17.6 17.1
Remote 36 54.5 47.4 52.0 30 45.5 52.6 48.0 66 2.7 2.9 3.0
Very remote 26 44.1 45.7 52.8 33 55.9 54.3 47.2 59 2.4 2.5 2.4
(a)
2006 census ABS SLA SEIFA classification mapped to 2010 SLAs.
(b)
2006 census ABS SLA ARIA+ classification mapped to 2010 SLAs
(c)
Minor changes occurred in a small number of SLA geographies between 2006 & 2010 resulting in slightly imperfect mapping
of the 2006 ARIA SEIFA SLA classifications to 2010 SLAs.
Determining statistically significant differences
In this report series, statistically significant differences between groups are determined based on non-
overlap of confidence intervals. The precision of the estimate, as discussed above, affects the ability to
detect differences. When confidence intervals are small and estimates have sizable numerical
differences, statistical differences are more clear; when confidence intervals are wide, it is possible a
difference may exist but that sample size wasn’t sufficient to make a distinction. The reporting of
difference between categories is noted only when the difference is statistically significant (based on
non-overlap of 95% confidence intervals). If this criterion is not met, no difference is noted in the text.
Occasionally confidence intervals will appear to overlap in tables but results are noted as significant in
text; such discrepancies are due to rounding.
Results
Findings from the CHS 2011 are presented in Table 2 to Table 13. Data are stratified by sex, age, age
by sex, the socioeconomic index
3
and the Accessibility/Remoteness Index of Australia (ARIA)
4
based
on respondents’ area of residence. Significant differences are noted in text where they are of primary
importance or indicate trends across socio-demographic characteristics. All significant differences are
not discussed but are available by assessing non-overlap of confidence intervals in the tables as
discussed above.
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Table 2: Children’s body mass index, Queensland, 2011
Underweight Healthy weight Overweight Obese Overweight/Obese
% (95% CI) % (95% CI) % (95% CI) % (95% CI) % (95% CI)
Persons (5-17 years)
7.0 (5.9-8.3) 66.4 (64.2-68.5) 18.1 (16.5-19.9) 8.5 (7.3-9.8) 26.6 (24.7-28.6)
Sex (5-17 years)
Male
8.0 (6.4-10.0) 63.5 (60.5-66.5) 19.4 (17.1-22.0) 9.1 (7.5-11.0) 28.5 (25.8-31.4)
Female
5.9 (4.6-7.7) 69.4 (66.3-72.4) 16.8 (14.5-19.3) 7.9 (6.2-9.9) 24.6 (21.9-27.6)
Age category - persons
5-7 years
10.5 (7.8-13.9) 62.0 (57.3-66.6) 14.4 (11.3-18.1) 13.1 (10.2-16.7) 27.5 (23.4-32.0)
8-11 years
6.3 (4.6-8.7) 59.6 (55.6-63.6) 23.5 (20.3-27.1) 10.5 (8.1-13.4) 34.0 (30.3-38.0)
12-15 years
5.6 (3.9-7.9) 71.4 (67.7-74.9) 17.1 (14.4-20.3) 5.9 (4.3-8.0) 23.0 (19.9-26.5)
16-17 years
6.3 (3.9-9.8) 75.1 (69.9-79.7) 14.9 (11.3-19.4) *3.7 (2.1-6.5) 18.6 (14.6-23.4)
Age category - male
5-7 years
10.7 (7.3-15.3) 61.7 (55.3-67.7) 14.6 (10.6-19.8) 13.1 (9.5-17.7) 27.6 (22.3-33.7)
8-11 years
7.2 (4.7-11.1) 59.3 (53.6-64.8) 22.8 (18.5-27.9) 10.6 (7.4-14.9) 33.4 (28.3-39.0)
12-15 years
6.9 (4.3-10.6) 66.6 (61.2-71.6) 19.0 (15.3-23.5) 7.5 (5.1-11.0) 26.6 (22.1-31.6)
16-17 years
*8.0 (4.2-14.6) 67.9 (59.8-75.0) 20.1 (14.2-27.5) *4.1 (2.1-7.8) 24.2 (18.0-31.7)
Age category - female
5-7 years
10.2 (6.4-15.9) 62.4 (55.2-69.1) 14.2 (9.9-19.8) 13.2 (8.9-19.1) 27.4 (21.4-34.2)
8-11 years
5.4 (3.3-8.6) 60.0 (54.2-65.5) 24.3 (19.7-29.6) 10.3 (7.2-14.7) 34.6 (29.3-40.4)
12-15 years
*4.3 (2.4-7.3) 76.4 (71.1-81.0) 15.2 (11.3-20.0) *4.2 (2.6-6.8) 19.4 (15.1-24.4)
16-17 years
*4.5 (2.5-8.0) 82.8 (76.5-87.6) 9.4 (6.1-14.4) ** 12.8 (8.5-18.7)
Socioeco
nomic advantage/disadvantage
(persons 5
-
17
years)
Disadvantaged
8.0 (5.5-11.5) 61.5 (56.3-66.3) 17.6 (14.1-21.8) 12.9 (9.9-16.7) 30.6 (26.1-35.4)
Quintile 2
6.3 (4.1-9.7) 64.7 (59.5-69.5) 19.0 (15.2-23.5) 10.0 (7.2-13.7) 29.0 (24.4-34.0)
Quintile 3
6.0 (4.0-9.0) 68.8 (64.0-73.2) 18.3 (14.8-22.3) 6.9 (4.8-9.9) 25.2 (21.1-29.7)
Quintile 4
6.3 (4.3-9.2) 67.3 (62.6-71.6) 19.7 (16.1-23.9) 6.7 (4.7-9.3) 26.4 (22.4-30.8)
Advantaged
8.4 (6.0-11.6) 69.6 (64.8-73.9) 15.9 (12.7-19.7) 6.1 (4.0-9.2) 22.0 (18.2-26.4)
Remoteness (persons 5-17 years)
Major cities
6.2 (4.8-7.8) 67.3 (64.4-70.1) 18.1 (15.9-20.5) 8.4 (6.8-10.4) 26.5 (23.9-29.3)
Inner/Outer regional 8.3 (6.4-10.6) 64.6 (61.1-67.9) 19.0 (16.4-22.0) 8.1 (6.4-10.2) 27.1 (24.1-30.4)
Remote/Very remote ** 71.6 (62.2-79.4) *11.6 (6.8-19.0) *12.1 (7.2-19.4) 23.6 (16.6-32.5)
* Estimate has a relative standard error of 25% to 50% and should be used with caution.
** Not available for publication. Estimate does not meet RSE or sample size criteria and is not considered reliable for general use.
Included in totals where applicable.
Body mass index
• 66.4% of Queensland children aged 5–17 years were of a healthy weight; 26.6% were overweight
or obese and 7.0% were underweight.
• Girls aged 16–17 years were more likely than boys to be of a healthy weight with the prevalence of
healthy weight 22% higher for girls than for boys of this age.
• Amongst girls, those aged between 12 and 17 years were more likely to be of a healthy weight than
girls aged between 5 and 11 years.
• Children aged 5–17 years who lived in the most disadvantaged areas of Queensland were over two
times more likely to be obese than those living in the most advantaged areas.
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Table 3: Children’s fruit and vegetable intake, Queensland, 2011
Adequate fruit intake
Mean daily fruit
intake
Adequate vegetable
intake
Mean daily
vegetable
% (95% CI) mean (95% CI) % (95% CI) mean (95% CI)
Persons (5-17 years)
59.6 (57.4-61.7) 1.9 (1.8-1.9) 29.2 (27.2-31.3) 2.1 (2.0-2.2)
Sex (5-17 years)
Male
58.5 (55.5-61.5) 1.8 (1.7-1.9) 27.9 (25.3-30.7) 2.1 (2.0-2.2)
Female
60.6 (57.5-63.7) 2.0 (1.9-2.0) 30.6 (27.7-33.6) 2.1 (2.0-2.2)
Age category - persons
5-7 years
96.6 (94.6-97.9) 2.1 (2.0-2.2) 54.2 (49.4-58.8) 1.9 (1.7-2.0)
8-11 years
94.4 (92.2-96.0) 2.0 (1.9-2.1) 30.4 (26.8-34.1) 2.1 (2.0-2.2)
12-15 years
20.4 (17.3-23.9) 1.8 (1.7-1.8) 16.3 (13.5-19.4) 2.2 (2.1-2.3)
16-17 years
18.9 (14.8-23.7) 1.7 (1.5-1.8) 18.0 (14.1-22.7) 2.3 (2.1-2.4)
Age category - male
5-7 years
96.0 (92.9-97.8) 2.0 (1.8-2.1) 50.1 (43.8-56.4) 1.8 (1.6-1.9)
8-11 years
93.4 (89.7-95.8) 1.9 (1.8-2.1) 29.1 (24.3-34.5) 2.1 (1.9-2.2)
12-15 years
17.9 (14.1-22.5) 1.7 (1.6-1.8) 15.8 (12.3-20.1) 2.2 (2.0-2.3)
16-17 years
20.2 (14.6-27.2) 1.7 (1.5-1.9) 18.8 (13.6-25.4) 2.3 (2.1-2.6)
Age category - female
5-7 years
97.2 (93.9-98.7) 2.2 (2.1-2.4) 58.4 (51.4-65.0) 2.0 (1.8-2.1)
8-11 years
95.4 (92.5-97.3) 2.1 (1.9-2.2) 31.7 (26.6-37.2) 2.1 (1.9-2.2)
12-15 years
23.0 (18.3-28.5) 1.8 (1.7-2.0) 16.7 (12.8-21.6) 2.2 (2.1-2.3)
16-17 years
17.5 (12.1-24.6) 1.7 (1.5-1.8) 17.1 (11.7-24.4) 2.2 (2.0-2.4)
Socioeconomic advantage/disadvantage (persons 5-17 years)
Disadvantaged
61.3 (56.2-66.1) 1.9 (1.8-2.0) 32.2 (27.7-37.2) 2.3 (2.1-2.4)
Quintile 2
55.0 (49.9-60.0) 1.8 (1.6-1.9) 28.5 (24.2-33.2) 2.1 (1.9-2.2)
Quintile 3
57.6 (52.7-62.4) 1.9 (1.8-2.0) 31.0 (26.6-35.7) 2.1 (2.0-2.2)
Quintile 4
61.6 (57.0-66.0) 1.9 (1.8-2.0) 26.3 (22.3-30.7) 2.0 (1.9-2.1)
Advantaged
62.4 (57.5-67.0) 1.9 (1.8-2.0) 28.3 (24.0-33.1) 2.0 (1.9-2.1)
Remoteness (persons 5-17 years)
Major cities
60.7 (57.8-63.6) 1.9 (1.8-2.0) 26.4 (23.9-29.1) 2.0 (1.9-2.1)
Inner regional
57.3 (52.7-61.8) 2.0 (1.8-2.1) 33.6 (29.3-38.1) 2.2 (2.1-2.3)
Outer regional
58.7 (53.3-63.8) 1.8 (1.7-1.9) 29.1 (24.6-34.1) 2.1 (2.0-2.3)
Remote
60.9 (47.1-73.2) 2.0 (1.7-2.4) 48.8 (35.6-62.2) 2.5 (2.1-2.9)
Very remote
61.0 (45.9-74.2) 1.8 (1.6-2.1) 24.8 (15.2-37.9) 2.0 (1.7-2.3)
Fruit consumption
• 59.6% of children consumed the recommended daily serves of fruit for their age. On average,
Queensland children ate 1.9 serves of fruit each day.
• As they grow up, children are not keeping pace with the increasing number of recommended
serves of fruit for their age. This is seen in the 80% decrease in the prevalence adequate fruit
intake and the 19% decline in mean daily serves between the ages of 5–7 years and 16–17 years.
Vegetable consumption
• 29.2% of children consumed the recommended daily serves of vegetable for their age. On average,
Queensland children aged 5–17 years ate 2.1 serves of vegetables each day.
• As they grow up, children are not keeping pace with the increasing number of recommended
serves of vegetables for their age. This is seen in the 44% decrease in prevalence of adequate
vegetable intake among children aged 8–11 years and the 46% decrease in prevalence among
children aged 12–15 years.
• Mean daily vegetable intake generally increased with age. Compared to children aged 5–7 years,
those aged 16–17 years consumed 21% more daily vegetable serves and those aged 12–15 years
consumed 16% more vegetables.
• Children living in remote locations had an 85% higher prevalence of adequate vegetable intake and
a mean daily vegetable intake that was 25% higher than those living in major cities. Compared to
children in regional areas, children in remote areas had a 16% higher prevalence of adequate
vegetable intake and a mean daily vegetable intake that was 9% higher.
9 Q
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HILD
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TATUS
2011
Table 4: Children’s carbonated beverage consumption, Queensland, 2011
Non-diet soft drink at least
daily Diet soft drink at least daily
Non-diet flavoured drink
(a)
at
least daily
% (95% CI) % (95% CI) % (95% CI)
Persons (5-17 years)
6.5 (5.5-7.7) 2.1 (1.6-2.8) 8.6 (7.4-9.9)
Sex (5-17 years)
Male
8.3 (6.8-10.2) 2.2 (1.5-3.2) 10.5 (8.8-12.7)
Female
4.7 (3.6-6.0) 2.0 (1.3-3.0) 6.6 (5.2-8.2)
Age category - persons
5-7 years
*2.5 (1.4-4.4) ** 3.3 (2.0-5.3)
8-11 years
4.9 (3.6-6.7) *1.7 (1.0-3.0) 5.8 (4.3-7.8)
12-15 years
7.9 (6.0-10.3) 2.8 (1.9-4.3) 10.3 (8.2-12.9)
16-17 years
12.5 (9.3-16.6) *3.0 (1.6-5.3) 17.7 (13.7-22.5)
Age category - male
5-7 years
** ** **
8-11 years
4.9 (3.1-7.7) ** 6.4 (4.2-9.5)
12-15 years
10.1 (7.2-14.1) *3.2 (1.9-5.5) 12.5 (9.3-16.7)
16-17 years
18.8 (13.3-25.8) ** 24.6 (18.2-32.4)
Age category - female
5-7 years
** ** **
8-11 years
4.9 (3.1-7.6) *2.6 (1.3-5.0) 5.3 (3.4-8.1)
12-15 years
5.6 (3.6-8.6) *2.4 (1.2-4.7) 8.1 (5.6-11.5)
16-17 years
*5.8 (3.3-9.9) ** 10.3 (6.7-15.6)
Socioeconomic advantage/disadvantage (persons 5-17 years)
Disadvantaged
6.1 (4.1-9.1) *2.9 (1.6-5.1) 7.6 (5.3-10.8)
Quintile 2
9.9 (7.2-13.5) *2.3 (1.3-4.1) 12.9 (9.7-16.9)
Quintile 3
4.8 (3.3-7.0) *1.9 (1.0-3.4) 8.0 (5.9-10.7)
Quintile 4
6.7 (4.8-9.4) *2.1 (1.1-3.8) 8.4 (6.2-11.2)
Advantaged
5.0 (3.3-7.4) ** 5.9 (4.1-8.5)
Remoteness (persons 5-17 years)
Major cities
6.6 (5.3-8.2) 1.8 (1.2-2.7) 8.9 (7.4-10.7)
Inner/Outer regional
6.2 (4.8-8.1) 2.3 (1.6-3.5) 8.0 (6.3-10.1)
Remote/Very remote
** ** *10.6 (6.0-18.2)
* Estimate has a relative standard error of 25% to 50% and should be used with caution.
** Not available for publication. Estimate does not meet RSE or sample size criteria and is not considered reliable for general use.
Included in totals where applicable.
(a)
Includes non-diet soft drink, sport drink, energy drink and flavoured water.
Soft drink
• 6.5% of Queensland children aged 5–17 years consumed non-diet soft drink at least daily.
• Of Queensland children, boys were 77% more likely than girls to consume non-diet soft drink daily.
• The highest prevalence of daily non-diet soft drink consumption, 18.8%, was among boys aged 16–
17 years. Among boys, the prevalence of consuming non-diet soft drinks increased almost four
times between the ages of 8–11 years and 16–17 years, whereas among girls the prevalence was
stable across childhood.
Non-diet flavoured drink
• 8.6% of Queensland children aged 5–17 years consumed non-diet flavoured drinks at least daily.
• Boys aged 5–17 years were 59% more likely than girls to drink flavoured non-diet drinks on a daily
basis.
• The prevalence of daily consumption of flavoured non-diet drinks increased with age. Those aged
16–17 years were 5.4 times more likely to consume these drinks daily than those aged 5–7 years.
• Among boys, the prevalence of daily flavoured non-diet drink consumption increased with age.
Boys aged 16–17 years were 3.8 times more likely to drink non-diet flavoured drinks daily than
boys aged 8–11 years and were almost twice as likely to do so as boys aged 12–15 years.
• Boys aged 16–17 years were 2.4 times more likely to consume non-diet flavoured drinks than their
female peers, 24.6% compared to 10%, respectively.
[...]... recommendation, with children aged 12 years and older up to 71% more likely to exceed the recommendations than children aged 5–7 years Children living in remote areas spent less time on average per week engaged in screen based entertainment, up to 25% less than children living in major cities, inner regional areas and outer regional areas CHILD HEALTH STATUS 2011 15 QUEENSLAND REPORT (a) Table 8: Children’s... disadvantaged areas of Queensland Children living in inner and outer regional areas were 43% more likely to travel to school by public transport than children living in major cities Children living in remote and very remote areas were 71% more likely to walk to school at least once in a usual week compared to those living in inner and outer regional areas CHILD HEALTH STATUS 2011 QUEENSLAND REPORT 16 Children living... more advantaged areas Among children travelling to school by car, distance to school increased with economic disadvantage Children in the most disadvantaged areas travelled 39% farther than children in the most advantaged areas Children in inner and outer regional areas travelled 52% further to school than children in major cities CHILD HEALTH STATUS 2011 21 QUEENSLAND REPORT Additional methodological... workers NHMRC: Canberra; 2003 7 Abbott RA, Macdonald D, Stubbs CO, Lee AJ, Harper C, Davies PSW Healthy kids Queensland survey 2006 - full report Queensland Health: Brisbane; 2008 CHILD HEALTH STATUS 2011 25 QUEENSLAND REPORT CHILD HEALTH STATUS 2011 ... were 8% more likely to eat breakfast every day than those living in the most disadvantaged areas Dinner • 13.5% of children aged 5–17 years ate dinner in front of the television every day CHILD HEALTH STATUS 2011 QUEENSLAND REPORT 12 Table 6: Children’s physical activity, Queensland, 2011 Active(a) every day of the past week % (95% CI) Physical education in school(b) % (95% CI) 1+ hours of organised... for children aged less than 12 years Children living in major cities were 29% more likely to have used some form of active transport compared to children living in inner or outer regional areas Children living in remote and very remote areas were 75% more likely to have used some form of active transport than those living in inner and outer regional areas CHILD HEALTH STATUS 2011 17 QUEENSLAND REPORT. .. to 38% more time than those living in other areas of Queensland travelling to or from school by active transport or public transport CHILD HEALTH STATUS 2011 QUEENSLAND REPORT 18 Table 11: Children’s usual travel to or from school by walking or bicycling, Queensland, 2011 Time per trip in minutes Number of trips weekly mean (95% CI) Walk Total time per week in minutes mean (95% CI) Time per trip in... more time per trip than younger children Children living in major cities or inner and outer regional areas spent up to 68% more time travelling to or from school by car each week than children living in remote and very remote areas Average trip duration was 32% in inner and outer regional areas compared remote and very remote areas CHILD HEALTH STATUS 2011 QUEENSLAND REPORT 20 Table 13: Average distance... remote areas of Queensland were 57% more likely than those living in major cities to usually undertake an hour or more of physical activity a day CHILD HEALTH STATUS 2011 QUEENSLAND REPORT 14 Table 7: Screen-based entertainment time for children, Queensland, 2011 Minutes per week of screenbased entertainment time mean (95% CI) Two or more hours per day of screen-based entertainment % (95% CI) Persons... beverage the child consumed Food habits Indicator: the proportion of children eating takeaway food at least weekly This indicator is identical to takeaway consumption data collected in the CHS 2009 Comparisons should be based on ‘Summary of key indicators for comparison to CHS 2009’ or based on age specific results CHILD HEALTH STATUS 2011 QUEENSLAND REPORT 22 Indicator: the proportion of children that . Officer, Queensland Health, GPO
Box 48, Brisbane Qld 4001.
Suggested citation: Queensland Health. Child health survey 2011: Queensland report. Queensland
Health: .
S
TATUS
2011
Child Health Status 2011
Queensland Report
Division of the Chief Health Officer
Queensland Health
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