Fluoride exposure and reported learning disability diagnosis among Canadian children: implications for community water fluoridation.
Barberio, Amanda M. ; Quinonez, Carlos ; Hosein, F. Shaun 等
Fluoride exposure and reported learning disability diagnosis among Canadian children: implications for community water fluoridation.
Community water fluoridation (CWF) is the addition of a controlled
quantity of fluoride to a public drinking water supply to prevent tooth
decay. The weight of existing evidence suggests that CWF is an effective
and equitable way to improve dental health, especially among children.
(1-3) However, the methodological quality of existing research is modest
and may not reflect contemporary circumstances. (4)
While there is no dispute that chronic ingestion of high
concentrations of fluoride has negative effects, there is some debate
regarding adverse health implications of concentrations deemed
"optimal". (5) Canadian guidelines currently recommend a
fluoride concentration of 0.7 parts per million (ppm), which is believed
to achieve a balance between accruing dental benefits while minimizing
risk of dental fluorosis. (3) Health Canada has identified a Maximum
Acceptable Concentration of 1.5 ppm, which is based on the population
(children aged 1-4 years) most vulnerable to developing dental
fluorosis. (3)
Concerns regarding potential fluoride-related health problems,
including carcinogenic, endocrine, neurological and skeletal effects,
have been raised. (6) While several comprehensive reports have concluded
that CWF is not associated with any of these adverse health effects at
or below recommended concentrations, (1-3,7) some individuals remain
concerned about the safety and efficacy of CWF. (8)
From among the potential harms associated with CWF, this paper
focuses on cognitive-related concerns; in particular, learning
disabilities. There are two main reasons for this focus. First, evidence
from histological, chemical and molecular studies has established that
the relationship between fluoride and impaired brain function is
biologically plausible. (9) Second, clarifying the nature of this
relationship is important and timely, because fluoride was recently
classified as one of six new neurodevelopmental toxins, (10) and recent
studies have connected increased fluoride exposure with increased risk
of neurodevelopmental-related outcomes, such as attention deficit
hyperactivity disorder (ADHD) and lower intelligence quotient (IQ) in
children. (11,12)
A highly-cited systematic review and meta-analysis by Choi et al.
(2012) (12) explored the relationship between fluoride and
children's IQ. A statistically significant standardized weighted
mean difference in IQ score between children residing in areas with high
vs. those in areas with low fluoride was found (-0.45, 95% CI: -0.56 to
-0.34), which was robust to various sensitivity analyses. (12) However,
most of the 27 cross-sectional studies were conducted in areas of rural
China that have high levels of naturally occurring fluoride in the water
ranging from 2 to 11 ppm, which is approximately 3-16 times higher than
optimal fluoride concentrations in Canada. (12)
Not included in the aforementioned meta-analysis, eight additional
cross-sectional studies performed in India (n = 4), (13-16) Iran (n =
1), (17) Mexico (n = 1) (18) and China (n = 2) (19,20) found that
children classified as having "high" fluoride exposure
(defined in various ways) scored lower on some or all components of
metrics used to assess intelligence or cognition. In contrast, a
prospective cohort study by Broadbent et al. found no significant
differences in IQ scores between New Zealand children living in
fluoridated versus those living in non-fluoridated communities,
adjusting for several potential confounders. (21)
A recent ecological analysis by Malin and Till (2015) investigated
the relationship between fluoridated drinking water and ADHD. (11) Data
from the United States Centers for Disease Control and Prevention
website were used to determine: 1) state-based fluoridation prevalence
(i.e., % of state population receiving fluoridated water) at six time
points between 1992 and 2008, and 2) ADHD prevalence based on
parent-report collected during the National Survey of Children's
Health in 2003, 2007 and 2011. Findings indicated a positive
relationship between state CWF prevalence and state prevalence of
parent-reported ADHD. Specifically, every 1% increase in fluoridation
prevalence in 1992 corresponded to approximately 67 000, 93 000 and 131
000 additional ADHD diagnoses in 2003, 2007 and 2011 respectively, after
controlling for 1992 state-level median household income. (11)
Overall, with the exception of Broadbent et al.,21 the literature
collectively suggests that high fluoride exposure negatively impacts a
variety of outcomes related to cognitive functioning. However, these
findings should be interpreted with caution due to: 1) substantial
methodological limitations (e.g., ecological measurements of fluoride
exposure), 2) most research being conducted outside the context of CWF,
and 3) a lack of North American studies.
In the current study, we analyze high-quality Canadian survey data
that include individual-level estimates of fluoride exposure from urine
and tap water samples and reported diagnosis of a learning disability.
Our primary objective was to examine the association between fluoride
exposure and reported learning disability diagnosis among a
population-based sample of Canadian children aged 3-12 years. To explore
implications for CWF, our secondary objective was to re-examine the
association (as a sensitivity analysis) among a subset of children for
whom we have some information on the source(s) of fluoride exposure,
including drinking water.
METHODS
Data source
The data source was Cycles 2 (2009-2011) and 3 (2012-2013) of the
Canadian Health Measures Survey (CHMS). Specifically, we analyzed data
from children aged 3-12 years included in the environmental urine
subsample (i.e., respondents who were randomly flagged to have
environmental exposures measures, including fluoride, performed on their
urine sample) for Cycle 2 (n = 1120) and the urine fluoride subsample
for Cycle 3 (n = 1101). We analyzed Cycles separately and, when
possible, combined.
Full survey details can be found online at www.statcan.gc.ca.
Briefly, the CHMS is a cross-sectional survey of a nationally
representative sample of Canadians that consists of a household
interview followed by physical health measurements taken at mobile
examination clinics. The target population is Canadians aged 3-79 years
living in private households in the 10 provinces. Approximately 96% of
the target population is represented, taking into account survey
exclusions (22,23) Respondents were selected using complex random
sampling. The overall response rates were 55.5% (Cycle 2) and 51.7%
(Cycle 3). The environmental urine subsample (Cycle 2) and the urine
fluoride subsample (Cycle 3) had combined response rates of 54.4% and
55.6% respectively. (22,23)
Health Canada and the Public Health Agency of Canada Research
Ethics Board reviewed and approved all CHMS procedures. The data were
analyzed at the Prairie Regional Research Data Centre (RDC) in Calgary,
Alberta. Due to ethical standards in place at the time of data
collection and the RDC integrity measures, this study was exempt from
formal ethics approval.
Variables
Primary Exposure Variable: Fluoride
First, estimates of urinary fluoride ([micro]mol/L) from spot urine
samples were available for a subsample of the respondents for Cycles 2
and 3 of the CHMS. Analysis was performed at the Human Toxicology
Laboratory of the Institut national de sante publique du Quebec (INSPQ)
(accredited under ISO 17025) under standardized operating procedures,
(22,23) using an Orion pH meter with ion selective electrode. (24) The
selective electrode limit of detection was 20 [micro]g/L for Cycle 2 and
10 [micro]g/L for Cycle 3.25
Second, estimates of creatinine-adjusted urinary fluoride (|rmol/
mmol) were available for the same subsamples. Creatinine is formed by
the breakdown of creatine, which is a key component of muscle
metabolism. Since the production and excretion of urinary creatinine are
fairly constant over a 24-hour period, creatinine can help to adjust for
differences in urinary concentration, renal function, and lean body
mass. (25)
Third, estimates of specific gravity-adjusted urinary fluoride
([micro]mol/L) were available for the same subsamples. Similar to
creatinine adjustment, adjustment for specific gravity helps to
compensate for variations in urine output. (25)
Fourth, estimates of the fluoride concentration of tap water
samples (mg/L) collected at respondents' homes were available, for
Cycle 3 only. These samples reflect the fluoride concentration of the
source of tap water supplied to the home (e.g., public water supply,
private well). The tap water subsample was the same as the urine
fluoride subsample. (23) Nearly all respondents (>99%) who provided a
urine sample also provided a tap water sample. A basic anion exchange
chromatography procedure was used to determine the level of fluoride in
tap water with a limit of detection of 0.006 mg/L (Statistics Canada,
personal communication, June 2016).
Primary Outcome Variable: Reported Learning Disability Diagnosis
Our primary outcome variable, diagnosis of a learning disability by a
health professional, was based on a single item from the household
survey asked to all respondents: "Do you have a learning
disability?" (Yes/No/Don't know, Refused). For Cycle 2, those
who indicated having a learning disability were also asked: "What
kind of learning disability do you have?" (Attention Deficit
Disorder, no hyperactivity [ADD]/Attention Deficit Hyperactivity
Disorder [ADHD]/Dyslexia/Other). This follow-up question about the type
of learning disability was omitted in Cycle 3.
As with all CHMS survey questions, parents or guardians answered
all questions for children aged 3-11 years (coded as a proxy interview),
while children aged 12 years and older answered questions themselves.
Accordingly, for children aged 3-11 years, diagnosis of a learning
disability was based on parent or guardian self-report whereas for
children aged 12 years, diagnosis of a learning disability was based on
the respondent's self-report.
Other Variables
We adjusted for the following potential confounders, collected at
the household interview: sex, age (from 3 to 12 years), household
education (two categories: less than a Bachelor's degree vs.
Bachelor's degree or greater), and household income adequacy (a
derived variable created by Statistics Canada based on total household
income and household size; two categories: low and middle income
adequacy vs. high income adequacy).
Finally, because fluoride estimates from urine reflect fluoride
from any source, we also considered variables that permitted some
discernment of source(s); namely, drinking water and dental products.
For both Cycles 2 and 3, and following a procedure used elsewhere, (26)
we classified each data collection site (i.e., the geographic location
of the mobile examination clinic participants traveled to visit) as
"fluoridated" or "not fluoridated" based on
information from various public sources (see Supplementary Tables 1a and
1b in the ARTICLE TOOLS section on the journal site). The Office of the
Chief Dental Officer, Public Health Agency of Canada, validated our
classifications. We ascertained that, in general, mean urinary fluoride
concentration and mean tap water fluoride concentration were higher
among respondents who attended "fluoridated" sites compared to
those who attended "non-fluoridated" sites (data not shown).
For Cycle 2 only, in addition to identifying children who attended
a fluoridated data collection site, we were also able to identify
children: 1) for whom tap water (vs. bottled or other) was their primary
source of drinking water at home or away from home and, 2) who had lived
in his or her current home for three or more years (as a proxy for
exposure to presence/absence of CWF). These children comprise the
constrained fluoride subsample for Cycle 2 (n = 273).
Due to differences in survey content between Cycles, we had to
define the constrained fluoride subsamples differently for Cycles 2 and
3 (see Figure 1). For Cycle 3 only, in addition to identifying children
who attended a fluoridated data collection site, we were also able to
identify children who reportedly: 1) used fluoride-containing products
at home (e.g., toothpaste, mouthwash) and, 2) had ever (vs. never)
received fluoride treatments at the dentist. These children comprise the
constrained fluoride subsample for Cycle 3 (n = 294).
Statistical analysis
First, using logistic regression, we regressed diagnosis of a
learning disability (yes/no) on fluoride exposure using: 1) urinary
fluoride, 2) creatinine-adjusted urinary fluoride, 3) specific
gravity-adjusted urinary fluoride, and 4) fluoride from tap water (mg/L)
(Cycle 3 only), separately by CHMS Cycle, unadjusted and adjusted for
covariates. For Cycle 2, we also used logistic regression to examine the
association between urinary fluoride concentration and type of learning
disability (i.e., ADD [yes/no] and ADHD [yes/no]), unadjusted and
adjusted for covariates.
Second, we had planned to rerun the logistic regression models that
examined the association between fluoride exposure (from urine and tap
water) and the diagnosis of a learning disability among a constrained
sample of children for whom we had some information about the source(s)
of fluoride exposure; however, Statistics Canada sample size
requirements precluded these analyses. Instead, we performed simple mean
comparisons to examine whether fluoride (from urine and tap water)
differed between children with and without a learning disability, who
were included in the constrained fluoride subsample for Cycles 2 and 3.
Finally, we reran analyses (as possible) using pooled Cycles 2 and
3 data. Specifically, we used logistic regression to examine the
association between urinary fluoride exposure and reported learning
disability diagnosis, among the full sample of children aged 3-12 years,
and among a constrained sample of those who visited a fluoridated
collection site. Please recall that due to differences in survey content
between Cycles 2 and 3, fluoridation status of data collection site was
the only variable related to the source of fluoride exposure that was
comparable across the two cycles (see Figure 1).
To generate estimates that were representative of the underlying
target population, survey weights were applied to all models as directed
by Statistics Canada. Bootstrap weights were also applied to ensure the
proper computation of variance estimates.
RESULTS
Table 1 presents descriptive statistics. In all analyses, missing
data were <5%, which is considered inconsequential. (27) The amount
of missing data was higher for household income (reported by 71% and 77%
of respondents in Cycles 2 and 3 respectively); however, Statistics
Canada provided imputed estimates for all participants. (22,23)
Results from the logistic regression analyses with reported
learning disability diagnosis (yes/no) regressed on measures of fluoride
exposure are presented in Table 2a for Cycle 2 (first three rows) and
Table 2b for Cycle 3 (first four rows), unadjusted and adjusted for
covariates. Reported learning disability diagnosis was not significantly
associated with urinary fluoride, creatinine-adjusted urinary fluoride,
specific gravity-adjusted urinary fluoride (Cycles 2 and 3), or fluoride
concentration of tap water (Cycle 3) in unadjusted or adjusted models.
Tables 3a and 3b show the results from the logistic regression
analyses examining the association between fluoride concentration in
urine and the type of learning disability (Cycle 2 only), unadjusted and
adjusted for covariates (fluoride concentration of tap water was not
available for this analysis). Reported diagnosis of ADHD (Table 3a) was
not significantly associated with any measure of fluoride exposure.
Reported diagnosis of ADD (Table 3b) was not significantly associated
with urinary fluoride (first row) or specific gravity-adjusted urinary
fluoride (third row). However, reported diagnosis of ADD was
significantly associated with creatinine-adjusted urinary fluoride
(second row) in the unadjusted model (first column), such that those
with higher creatinine-adjusted urinary fluoride had lower odds of
reporting ADD (p = 0.003). This association was reduced to
non-significance (p = 0.107) in the adjusted model (second column).
These results should be interpreted with caution due to small sample
sizes and the fact that some bootstrap weights (37 out of 500) dropped
out of the models.
Table 4 shows the mean comparisons of fluoride exposure (from urine
and tap water) for those with and without a reported learning disability
diagnosis among the constrained fluoride subsamples for Cycles 2 and 3.
As noted, logistic regression was not feasible due to minimum sample
size requirements. For Cycle 2, children with and without a reported
learning disability diagnosis did not differ on any measure of fluoride
exposure, based on substantially overlapping 95% confidence intervals
(CIs). Similarly, for Cycle 3, children with and without a reported
learning disability diagnosis did not differ on any measure of fluoride
exposure, based on substantially overlapping 95% CIs.
Table 5 shows results from analysis of pooled data from Cycles 2
and 3. A small but statistically significant effect was observed (first
row) such that children with higher urinary fluoride had higher odds of
having a reported learning disability diagnosis among both the fluoride
subsample (p = 0.03) and the constrained fluoride subsample (p = 0.04),
in adjusted models. However, when these models were run using
creatinine-adjusted urinary fluoride as the outcome (second row), and
specific gravity-adjusted urinary fluoride as the outcome (third row),
no statistically significant associations were observed among either the
fluoride subsample or the constrained fluoride subsample, in unadjusted
or adjusted models.
DISCUSSION
We found no association between fluoride exposure (from urine and
tap water) and parental or self-reported diagnosis of a learning
disability among a national population-based sample of Canadian children
aged 3-12 years when we examined Cycles 2 and 3 of the CHMS separately.
The one exception is the inverse relationship observed (higher
creatinine-adjusted urinary fluoride associated with lower reported ADD
diagnosis) in the unadjusted model, but this finding disappeared in the
adjusted model.
When we examined the association between urinary fluoride and
reported learning disability diagnosis among the pooled sample (i.e.,
Cycles 2 and 3 combined), we detected a small but statistically
significant association such that for every one unit increase in urinary
fluoride ([micro]mol/L), the odds of having a reported learning
disability diagnosis increased by 1.02 in the adjusted models, among the
fluoride subsample and the constrained fluoride subsample. These
significant findings were not observed with creatinine-adjusted urinary
fluoride or specific gravity-adjusted urinary fluoride, which are
thought to be more accurate because they help to correct for the effect
of urinary dilution, which can vary between individuals and different
points in time. Accordingly, these adjusted measures help to offset some
of the limitations associated with spot urine samples. The finding that
the effect was reduced to non-significance when creatinine-adjusted and
specific gravity-adjusted urinary fluoride were used, suggests that the
association between urinary fluoride and reported learning disability
diagnosis may not be robust.
Because we were interested in implications for CWF, we examined
associations for the subset of children for whom we had some information
on source of fluoride exposure, using the pooled Cycle 2 and 3 samples.
Theoretically, if CWF was playing a key role, we would have observed a
stronger effect among the constrained fluoride subsample. Although we
observed a small effect where the odds of a reported learning disability
diagnosis increased with urinary fluoride concentration in this
constrained subsample, that effect was not robust to creatinine and
specific gravity adjustment. However, we acknowledge that by
constraining our sample, we had a smaller sample size and reduced power
to detect an effect. Overall, there does not appear to be a robust
association between fluoride exposure and reported learning disability
diagnosis, regardless of whether or not the sample was constrained to
children who visited a fluoridated data collection site.
Compared with the only other population-based study of fluoride and
ADHD, (11) our findings have some similarities and some differences.
There are several possible explanations for the different findings.
First, Malin and Till (2015) use an ecological measure of fluoride
exposure whereas we used an individual-level measure that reflects
fluoride from all sources, including CWF. Second, our lack of an
association could reflect small sample sizes, which we identify as
reasons for interpreting our results with caution in Tables 3a and 3b.
Third, Malin and Till examine reported ADHD prevalence among American
children and adolescents aged 4-17 years whereas we focused on Canadian
children aged 3-12 years. There are differences between the two
countries in terms of fluoridation policy and coverage, with Canada
having lower coverage and, until recently, a lower recommended optimal
concentration. (3,28-30) A finding that is somewhat similar between the
two studies is our finding, based on the pooled sample, of a significant
association between higher urinary fluoride and reported learning
disability diagnosis among both the fluoride subsample and the
constrained fluoride subsample in adjusted models. However, as we argued
above, that effect may not be robust because it did not appear in models
that used creatinine-adjusted or specific gravity-adjusted urinary
fluoride.
There are limitations related to how learning disabilities were
captured in the CHMS. First, the reported nature of that variable makes
it subject to reporting bias. Second, Cycle 2 only inquired about the
type of learning disability (including ADHD) if a positive response was
obtained for the previous question ("Do you have a learning
disability?"); however, ADHD is not formally classified as a
learning disability. (31) Accordingly, in analyses related to ADHD, our
sample may have only captured children who have a comorbid diagnosis of
a learning disability and ADHD. Third, the learning disability variable
was a simple yes/no classification and thus, the severity of the
disorder is unknown. While it is desirable to use more objective
assessments of cognitive and academic functioning that can describe the
severity of the disorder and are not sensitive to self-report (e.g., IQ
or memory testing), it is likely only feasible to collect such measures
in smaller-scale studies. In the context of large population-based
studies, a trade-off exists between the breadth of knowledge generated
(i.e., nationally representative estimates) and the depth of data
collection. When examining potential harms related to CWF, smaller-scale
clinical studies, basic science studies, and larger-scale population
studies all have important contributions to make.
Other limitations reflect the study design and the time frame
captured by the variables. First, spot urine samples used to measure
urinary fluoride are vulnerable to fluctuations. (3) Second, reported
learning disability diagnosis could have preceded measured fluoride
exposure. Upcoming cycles of the CHMS should consider collecting
biomarkers such as hair and/or fingernails, which estimate fluoride
intake over a longer time frame and can be collected non-invasively.
(32) Finally, we are not able to discern causality due to the
cross-sectional nature of the survey data.
Our study has several strengths, including: a large representative
sample of Canadian children aged 3-12 years with high response rates,
multiple quality-control measures implemented throughout the data
collection process, and individual estimates of fluoride exposure and
reported learning disability diagnosis.
doi: 10.17269/CJPH.108.5951
Acknowledgements: We thank Dr. Diane Lorenzetti, Department of
Community Health Sciences at the University of Calgary, for providing
research support, Dr. Charlie Victorino and Dr. Rebecca Williams,
Research Analysts at the Prairie Regional Research Data Centre, and
Jeanne Williams and Dina Lavorato, for providing methodological support
and assistance. We also thank Dr. Martin Chartier and Dr. Annie
Bronsard, Public Health Agency of Canada, for their input and assistance
with verifying fluoridation status information from across Canada.
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Received: October 31, 2016
Accepted: July 7, 2017
Amanda M. Barberio, BHSc (hons), MSc, [1,2] Carlos Quinonez, DMD,
MSc, PhD, FRCD(C), [3] F. Shaun Hosein, MD, MSc, [4] Lindsay McLaren,
PhD [2]
Author Affiliations
[1.] Department of Cancer Epidemiology and Prevention Research,
Alberta Health Services, Edmonton, AB
[2.] Department of Community Health Sciences and O'Brien
Institute for Public Health, University of Calgary, Calgary, AB
[3.] Dental Public Health, Faculty of Dentistry, University of
Toronto, Toronto, ON
[4.] Faculty of Medicine, University of Queensland, St Lucia, QLD,
Australia Correspondence: Lindsay McLaren, PhD, Department of Community
Health Sciences and O'Brien Institute for Public Health, University
of Calgary, TRW3, 3280 Hospital Dr. NW Calgary, AB T2N 4Z6, Tel:
403-210-9424, E-mail: lmclaren@ ucalgary.ca
Funding: Lindsay McLaren holds an Applied Public Health Chair from
CIHR (Institute of Population & Public Health and Institute of
Musculoskeletal Health & Arthritis), the Public Health Agency of
Canada, and Alberta Innovates - Health Solutions.
Conflict of Interest: None to declare.
Caption: Figure 1. Venn diagram describing the constrained fluoride
subsamples for Cycles 2 and 3, separately and combined Note 1: For Cycle
2, the constrained fluoride subsample refers to children who: 1)
attended a fluoridated data collection site, 2) identified tap water was
their primary source of drinking water at home or away from home, and 3)
lived in their current home for three or more years. For Cycle 3, the
constrained fluoride subsample refers to children who: 1) attended a
fluoridated data collection site, 2) reported using fluoride-containing
dental products at home, and 3) reported ever having received fluoride
treatments at the dentist. For Cycles 2 and 3 combined, the constrained
fluoride subsample refers to children who: 1) attended a fluoridated
data collection site.
Note 2: Due to differences in survey content between Cycles 2 and
3, fluoridation status of data collection site was the only variable
related to the source of fluoride exposure that was comparable across
the two cycles.
Note 3: For all CHMS survey questions, parents or guardians
answered all questions for children aged 3-11 years (coded as a proxy
interview), while children aged 1 2 years and older answered questions
themselves.
Table 1. Descriptive Statistics for Cycles 2 and 3 of the CHMS among
children aged 3-12 years (weighted and bootstrapped)
Cycle 2
Full sample
(N = 1844)
Predictors
Urinary fluoride ([micro]mol/L) --
Creatinine-adjusted urinary fluoride --
([micro]mol/mmol)
Specific gravity-adjusted urinary fluoride --
([micro]mol/L)
Fluoride concentration of tap water --
(mg/L)
Outcome
Self-reported learning disability 8.41 (95% CI:
diagnosis (yes) 6.10-10.73)
Attention deficit disorder (ADD), 1.60 (95% CI:
without hyperactivity (yes) 0.50-2.70)
Attention deficit disorder, with 3.17 (95% CI:
hyperactivity (yes) 1.71-4.62)
Covariates
Sex (males) 52.08 (95% CI:
50.59-53.57)
Age (years) 7.61 (95% CI:
7.46-7.77)
Household income adequacy 52.00 (95% CI:
(lower and middle income) ([double dagger]) 43.57-60.41)
Highest attained education in the 60.38 (95% CI:
household (less than bachelor's degree) 51.11 -69.66)
Sources of fluoride exposure
Respondent from a fluoridated 55.80 (95% CI:
collection site (yes) 40.76-70.85)
Length of time in current home 69.11 (95% CI:
([greater than or equal to] 3 years) 63.48-74.75)
Primary source of drinking water (tap 66.63 (95% CI:
water) 60.18-73.09)
Uses fluoride-containing dental --
products at home (yes)
Ever received fluoride treatments at the --
dentist (yes)
Cycle 2
Fluoride
subsample
(n = 1120)
Predictors
Urinary fluoride ([micro]mol/L) 32.06 (95% CI:
29.65-34.46)
Creatinine-adjusted urinary fluoride 4.50 (95% CI:
([micro]mol/mmol) 4.09-4.91)
Specific gravity-adjusted urinary fluoride 37.78 (95% CI:
([micro]mol/L) 34.78-40.79)
Fluoride concentration of tap water --
(mg/L)
Outcome
Self-reported learning disability 7.58 (95% CI:
diagnosis (yes) 4.80-10.37)
Attention deficit disorder (ADD), 1.75 (95% CI:
without hyperactivity (yes) 0.58-2.92)
Attention deficit disorder, with 2.46 (95% CI:
hyperactivity (yes) 0.50-4.41)
Covariates
Sex (males) 49.36 (95% CI:
46.45-52.26)
Age (years) 7.03 (95% CI:
6.84-7.21)
Household income adequacy 51.45 (95% CI:
(lower and middle income) ([double dagger]) 41.91 -60.99)
Highest attained education in the 60.00 (95% CI:
household (less than bachelor's degree) 50.37-69.55)
Sources of fluoride exposure
Respondent from a fluoridated 53.92 (95% CI:
collection site (yes) 38.71-69.13)
Length of time in current home 71.10 (95% CI:
([greater than or equal to] 3 years) 66.69-75.51)
Primary source of drinking water (tap 68.89 (95% CI:
water) 63.17-74.61)
Uses fluoride-containing dental --
products at home (yes)
Ever received fluoride treatments at the --
dentist (yes)
Cycle 2
Constrained
fluoride
subsample *
(n = 273)
Predictors
Urinary fluoride ([micro]mol/L) 39.39 (95% CI:
35.63-43.16)
Creatinine-adjusted urinary fluoride 5.12 (95% CI:
([micro]mol/mmol) 4.26-5.98)
Specific gravity-adjusted urinary fluoride 43.46 (95% CI:
([micro]mol/L) 39.19-47.81)
Fluoride concentration of tap water --
(mg/L)
Outcome
Self-reported learning disability 7.02 (95% CI:
diagnosis (yes) 2.03-12.01)
Attention deficit disorder (ADD), --
without hyperactivity (yes)
Attention deficit disorder, with --
hyperactivity (yes)
Covariates
Sex (males) 58.39 (95% CI:
52.91-63.86)
Age (years) 7.15 (95% CI:
6.85-7.45)
Household income adequacy 46.00 (95% CI:
(lower and middle income) ([double dagger]) 30.61-61.39)
Highest attained education in the 59.33 (95% CI:
household (less than bachelor's degree) 44.76-73.90)
Sources of fluoride exposure
Respondent from a fluoridated --
collection site (yes)
Length of time in current home --
([greater than or equal to] 3 years)
Primary source of drinking water (tap --
water)
Uses fluoride-containing dental --
products at home (yes)
Ever received fluoride treatments at the --
dentist (yes)
Cycle 3
Full sample
(N = 1726)
Predictors
Urinary fluoride ([micro]mol/L) --
Creatinine-adjusted urinary fluoride --
([micro]mol/mmol)
Specific gravity-adjusted urinary fluoride --
([micro]mol/L)
Fluoride concentration of tap water --
(mg/L)
Outcome
Self-reported learning disability 5.08 (95% CI:
diagnosis (yes) 2.64-7.53)
Attention deficit disorder (ADD), --
without hyperactivity (yes)
Attention deficit disorder, with --
hyperactivity (yes)
Covariates
Sex (males) 50.76 (95% CI:
49.24-52.28)
Age (years) 7.36 (95% CI:
7.17-7.54)
Household income adequacy 54.48 (95% CI:
(lower and middle income) ([double dagger]) 46.32-62.63)
Highest attained education in the 54.73 (95% CI:
household (less than bachelor's degree) 47.01 -62.45)
Sources of fluoride exposure
Respondent from a fluoridated 55.39 (95% CI:
collection site (yes) 27.89-82.89)
Length of time in current home --
([greater than or equal to] 3 years)
Primary source of drinking water (tap --
water)
Uses fluoride-containing dental 69.46 (95% CI:
products at home (yes) 64.53-74.40)
Ever received fluoride treatments at the 78.57 (95% CI:
dentist (yes) 73.57-83.57)
Cycle 3
Fluoride
subsample
(n = 1101)
Predictors
Urinary fluoride ([micro]mol/L) 26.17 (95% CI:
22.57-29.76)
Creatinine-adjusted urinary fluoride 4.23 (95% CI:
([micro]mol/mmol) 3.50-4.97)
Specific gravity-adjusted urinary fluoride 34.25 (95% CI:
([micro]mol/L) 29.00-39.50)
Fluoride concentration of tap water 0.23 (95% CI:
(mg/L) 0.15-0.32)
Outcome
Self-reported learning disability 3.78 (95% CI:
diagnosis (yes) 1.34-6.23)
Attention deficit disorder (ADD), --
without hyperactivity (yes)
Attention deficit disorder, with --
hyperactivity (yes)
Covariates
Sex (males) 51.75 (95% CI:
50.23-53.27)
Age (years) 6.80 (95% CI:
6.62-6.98)
Household income adequacy 53.65 (95% CI:
(lower and middle income) ([double dagger]) 45.50-61.80)
Highest attained education in the 54.16 (95% CI:
household (less than bachelor's degree) 46.43-61.88)
Sources of fluoride exposure
Respondent from a fluoridated 57.49 (95% CI:
collection site (yes) 30.00-84.99)
Length of time in current home --
([greater than or equal to] 3 years)
Primary source of drinking water (tap --
water)
Uses fluoride-containing dental 70.89 (95% CI:
products at home (yes) 65.96-75.83)
Ever received fluoride treatments at the 78.94 (95% CI:
dentist (yes) 73.95-83.94)
Cycle 3
Constrained
fluoride
subsample ([dagger])
(n = 294)
Predictors
Urinary fluoride ([micro]mol/L) 30.01 (95% CI:
24.77-35.25)
Creatinine-adjusted urinary fluoride 4.87 (95% CI:
([micro]mol/mmol) 3.48-6.27)
Specific gravity-adjusted urinary fluoride 40.71 (95% CI:
([micro]mol/L) 32.66-48.75)
Fluoride concentration of tap water 0.36 (95% CI:
(mg/L) 0.23-0.49)
Outcome
Self-reported learning disability 6.13 (95% CI:
diagnosis (yes) 0.73-11.52)
Attention deficit disorder (ADD), --
without hyperactivity (yes)
Attention deficit disorder, with --
hyperactivity (yes)
Covariates
Sex (males) 51.21 (95% CI:
45.33-57.10)
Age (years) 7.99 (95% CI:
7.70-8.28)
Household income adequacy 57.94 (95% CI:
(lower and middle income) ([double dagger]) 44.02-71.85)
Highest attained education in the 58.15 (95% CI:
household (less than bachelor's degree) 47.06-69.25)
Sources of fluoride exposure
Respondent from a fluoridated --
collection site (yes) --
Length of time in current home --
([greater than or equal to] 3 years)
Primary source of drinking water (tap --
water)
Uses fluoride-containing dental --
products at home (yes)
Ever received fluoride treatments at the --
dentist (yes)
Note: The sample sizes presented at the top of the chart reflect the
full available sample; however, in some cases, the sample sizes in
the cells are lower due to age exclusions (primary reason) and
missing data (<5% in all cases). We report urinary fluoride in units
of micromoles per litre ([micro]mol/L), creatinine-adjusted urinary
fluoride in units of micromoles per millimole ([micro]mol/mmol), and
fluoride concentration in tap water in units of milligrams per litre
(mg/L) to be consistent with how these variables are presented in
Statistics Canada documentation. One can convert micromoles per litre
of fluoride to milligrams per litre using the following formula: 1
[micro]mol/L equals 0.019 mg/L. (9)
* For Cycle 2, the constrained fluoride subsample refers to children
who: 1) attended a fluoridated data collection site, 2) identified
tap water was their primary source of drinking water at home or away
from home, and 3) lived in their current home for three or more
years.
([dagger]) For Cycle 3, the constrained fluoride subsample refers to
children who: 1) attended a fluoridated data collection site, 2)
reported using fluoride-containing dental products at home, and 3)
reported ever having received fluoride treatments at the dentist.
([double dagger]) Only 71% and 77% of respondents reported their
total household income for Cycles 2 and 3 of the CHMS respectively.
Accordingly, Statistics Canada developed a regression model to impute
total household income for all respondents for both cycles. (22,23)
Table 2a. Results from logistic regression where parental-or self-
reported diagnosis of a learning disability among children aged 3-12
years was regressed on urinary fluoride, creatinine-adjusted urinary
fluoride, and specific gravity-adjusted urinary fluoride for Cycle 2
of the CHMS
Predictor variable Cycle 2 of CHMS
Urinary fluoride
Unadjusted ([dagger])
estimates for
fluoride subsample
(OR, 95% CI)
Urinary fluoride ([micro]mol/L) 1.01 (95% CI:
(cont ([section])) 0.99-1.03)
Creatinine-adjusted urinary fluoride --
([micro]mol/mmol) (cont)
Specific gravity-adjusted urinary
fluoride ([micro]mol/L) (cont)
Sex (ref: female) --
Age (cont) --
Household income adequacy --
(ref: lower and middle income)
Highest attained education in the --
household (ref: less than
bachelor's degree)
Predictor variable Cycle 2 of CHMS
Urinary fluoride
Adjusted ([double dagger])
estimates for
fluoride subsample
(OR, 95% CI)
Urinary fluoride ([micro]mol/L) 1.01 (95% CI:
(cont ([section])) 0.99-1.04)
Creatinine-adjusted urinary fluoride --
([micro]mol/mmol) (cont)
Specific gravity-adjusted urinary
fluoride ([micro]mol/L) (cont)
Sex (ref: female) 2.59 ** (95% CI:
1.17-5.77)
Age (cont) 1.28 *** (95% CI:
1.18-1.39)
Household income adequacy 0.94 (95% CI:
(ref: lower and middle income) 0.22-4.07)
Highest attained education in the 0.49 * (95% CI:
household (ref: less than 0.20-1.16)
bachelor's degree)
Predictor variable Cycle 2 of CHMS
Creatinine-adjusted
urinary fluoride
Unadjusted ([dagger])
estimates for
fluoride subsample
(OR, 95% CI)
Urinary fluoride ([micro]mol/L)
(cont ([section]))
Creatinine-adjusted urinary fluoride 0.99 (95% CI:
([micro]mol/mmol) (cont) 0.87-1.13)
Specific gravity-adjusted urinary
fluoride ([micro]mol/L) (cont)
Sex (ref: female) --
Age (cont) --
Household income adequacy --
(ref: lower and middle income)
Highest attained education in the --
household (ref: less than
bachelor's degree)
Predictor variable Cycle 2 of CHMS
Creatinine-adjusted
urinary fluoride
Adjusted ([double dagger])
estimates for
fluoride subsample
(OR, 95% CI)
Urinary fluoride ([micro]mol/L)
(cont ([section]))
Creatinine-adjusted urinary fluoride 1.04 (95% CI:
([micro]mol/mmol) (cont) 0.95-1.15)
Specific gravity-adjusted urinary
fluoride ([micro]mol/L) (cont)
Sex (ref: female) 2.73 ** (95% CI:
1.25-6.01)
Age (cont) 1.29 *** (95% CI:
1.17-1.42)
Household income adequacy 0.94 (95% CI:
(ref: lower and middle income) 0.20-4.38)
Highest attained education in the 0.46 (95% CI:
household (ref: less than 0.18-1.19)
bachelor's degree)
Predictor variable Cycle 2 of CHMS
Specific
gravity-adjusted
urinary fluoride
Unadjusted ([dagger])
estimates for
fluoride subsample
(OR, 95% CI)
Urinary fluoride ([micro]mol/L)
(cont ([section]))
Creatinine-adjusted urinary fluoride --
([micro]mol/mmol) (cont)
Specific gravity-adjusted urinary 1.00 (95% CI:
fluoride ([micro]mol/L) (cont) 0.99-1.02)
Sex (ref: female) --
Age (cont) --
Household income adequacy --
(ref: lower and middle income)
Highest attained education in the --
household (ref: less than
bachelor's degree)
Predictor variable Cycle 2 of CHMS
Specific
gravity-adjusted
urinary fluoride
Adjusted ([double dagger])
estimates for
fluoride subsample
(OR, 95% CI)
Urinary fluoride ([micro]mol/L)
(cont ([section]))
Creatinine-adjusted urinary fluoride --
([micro]mol/mmol) (cont)
Specific gravity-adjusted urinary 1.01 (95% CI:
fluoride ([micro]mol/L) (cont) 0.99-1.02)
Sex (ref: female) 2.77 ** (95% CI:
1.26-6.08)
Age (cont) 1.27 *** (95% CI:
1.16-1.39)
Household income adequacy 0.95 (95% CI:
(ref: lower and middle income) 0.21 -4.36)
Highest attained education in the 0.47* (95% CI:
household (ref: less than 0.19-1.17)
bachelor's degree)
Note: We report urinary fluoride and specific gravity-adjusted
urinary fluoride in units of micromoles per litre ([micro]mol/L),
creatinine-adjusted urinary fluoride in units of micromoles per
millimole ([micro]mol/mmol), and fluoride concentration oftap water
in units of milligrams per litre (mg/L) to be consistentwith how
these variables are presented in Statistics Canada documentation. One
can convert micromoles per litre of fluoride to milligrams per litre
using the following formula: 1 [micro]mol/L equals 0.019 mg/L. (9)
*** p < 0.01; ** p < 0.05; * p < 0.1.
([dagger]) Column contains bivariate associations between predictor
variable and the outcome (parental- or self-reported diagnosis of a
learning disability).
([double dagger]) Column contains associations from single model
containing all predictor variables (age, sex, household income
adequacy, and highest attained education in the household).
([section]) cont= continuous.
Table 2b. Results from logistic regression where parental-or self-
reported diagnosis of a learning disability among children aged 3-12
years was regressed on urinary fluoride, creatinine-adjusted urinary
fluoride, specific gravity-adjusted urinary fluoride, and fluoride
concentration of tap water for Cycle 3 of the CHMS
Predictor variable Cycle 3 of CHMS
Urinary fluoride
Unadjusted Adjusted
([dagger]) ([dagger])
estimates for estimates for
fluoride fluoride
subsample subsample
(OR, 95% CI) (OR, 95% CI)
Urinary fluoride 1.01 (95% CI: 1.02 (95% CI:
([micro]mol/L) (cont) 0.996-1.03) 0.99-1.04)
Creatinine-adjusted urinary -- --
fluoride ([micro]mol/mmol) (cont)
Specific gravity-adjusted urinary -- --
fluoride ([micro]mol/L) (cont)
Fluoride concentration of tap -- --
water (mg/L)
Sex (ref: female) -- 1.23 (95% CI:
0.41-3.70)
Age (cont) -- 1.36 ** (95% CI:
1.09-1.70)
Household income adequacy -- 0.69 (95% CI:
(ref: lower and middle income) 0.18-2.66)
Highest attained education in the -- 0.30 (95% CI:
household (ref: less than 0.06-1.51)
bachelor's degree)
Predictor variable Cycle 3 of CHMS
Creatinine-adjusted urinary
fluoride
Unadjusted Adjusted
([dagger]) ([double
estimates for dagger])
fluoride estimates for
subsample fluoride
(OR, 95% CI) subsample
(OR, 95% CI)
Urinary fluoride
([micro]mol/L) (cont)
Creatinine-adjusted urinary 1.01 (95% CI: 1.03 (95% CI:
fluoride ([micro]mol/mmol) (cont) 0.77-1.34) 0.86-1.23)
Specific gravity-adjusted urinary -- --
fluoride ([micro]mol/L) (cont)
Fluoride concentration of tap -- --
water (mg/L)
Sex (ref: female) -- 1.29 (95% CI:
0.43-3.85)
Age (cont) -- 1.35 ** (95% CI:
1.04-1.76)
Household income adequacy -- 0.68 (95% CI:
(ref: lower and middle income) 0.18-2.61)
Highest attained education in the -- 0.33 (95% CI:
household (ref: less than 0.07-1.53)
bachelor's degree)
Predictor variable Cycle 3 of CHMS
Specific gravity-adjusted
urinary fluoride
Unadjusted Adjusted
([dagger]) ([dagger])
estimates for estimates for
fluoride fluoride
subsample (OR, subsample
95% CI) (OR, 95% CI)
Urinary fluoride
([micro]mol/L) (cont)
Creatinine-adjusted urinary -- --
fluoride ([micro]mol/mmol) (cont)
Specific gravity-adjusted urinary 1.01 (95% CI: 1.01 (95% CI:
fluoride ([micro]mol/L) (cont) 0.99-1.02) 0.99-1.03)
Fluoride concentration of tap -- --
water (mg/L)
Sex (ref: female) -- 1.32 (95% CI:
0.43-4.03)
Age (cont) -- 1.35 (95% CI:
1.06-1.71)
Household income adequacy -- 0.69 (95% CI:
(ref: lower and middle income) 0.18-2.65)
Highest attained education in the -- 0.33 (95% CI:
household (ref: less than 0.07-1.54)
bachelor's degree)
Predictor variable Cycle 3 of CHMS
Fluoride concentration
of tap water
Unadjusted Adjusted
([dagger]) ([double
estimates for dagger])
fluoride tap estimates for
water fluoride tap
subsample water subsample
(OR, 95% CI) (OR, 95% CI)
Urinary fluoride
([micro]mol/L) (cont)
Creatinine-adjusted urinary -- --
fluoride ([micro]mol/mmol) (cont)
Specific gravity-adjusted urinary -- --
fluoride ([micro]mol/L) (cont)
Fluoride concentration of tap 1.41 (95% CI: 0.88 (95% CI:
water (mg/L) 0.14-14.41) 0.068-11.33)
Sex (ref: female) -- 1.24 (95% CI:
0.42-3.64)
Age (cont) -- 1.33 ** (95% CI:
1.04-1.69)
Household income adequacy -- 0.66 (95% CI:
(ref: lower and middle income) 0.17-2.57)
Highest attained education in the -- 0.32 (95% CI:
household (ref: less than 0.069-1.50)
bachelor's degree)
Note: We report urinary fluoride and specific gravity-adjusted
urinary fluoride in units of micromoles per litre ([micro]mol/L),
creatinine-adjusted urinary fluoride in units of micromoles per
millimole ([micro]mol/mmol), and fluoride concentration of tap water
in units of milligrams per litre (mg/L) to be consistent with how
these variables are presented in Statistics Canada documentation. One
can convert micromoles per litre of fluoride to milligrams per litre
using the following formula: 1 [micro]mol/L equals 0.019 mg/L. (9)
*** p < 0.01; ** p < 0.05; * p < 0.1.
([dagger]) Column contains bivariate associations between predictor
variable and the outcome (parental- or self-reported diagnosis of a
learning disability).
([double dagger]) Column contains associations from single model
containing all predictor variables (age, sex, household income
adequacy, and highest attained education in the household).
Table 3a. Results from logistic regression where parental-or self-
reported diagnosis of ADHD among children aged 3-12 years was
regressed on urinary fluoride for Cycle 2 of the CHMS
Cycle 2 of CHMS
Unadjusted ([dagger] Adjusted ([double
estimates for the dagger]) estimates
fluoride subsample for the fluoride
(OR, 95% CI) subsample (OR, 95%
CI)
Urinary fluoride 1.02 (95% CI: 1.02 (95% CI:
([micro]mol/L) (cont) 0.97-1.08) 0.97-1.09)
Creatinine-adjusted 0.97 (95% CI: 1.01 (95% CI:
urinary fluoride 0.71-1.32) 0.85-1.21)
([micro]mol/mmol)
(cont)
Specific 1.01 (95% CI: 1.01 (95% CI:
gravity-adjusted 0.97-1.05) 0.96-1.06)
urinary fluoride
([micro]mol/L) (cont)
Notes: One or more parameters could not be estimated in 37 bootstrap
replicates. We report urinary fluoride and specific gravity-adjusted
urinary fluoride in units of micromoles per litre ([micro]mol/L),
creatinine-adjusted urinary fluoride in units of micromoles per
millimole ([micro]mol/mmol), and fluoride concentration of tap water
in units of milligrams per litre (mg/L) to be consistent with how
these variables are presented in Statistics Canada documentation. One
can convert micromoles per litre of fluoride to milligrams per litre
using the following formula: 1 [micro]mol/L equals 0.019 mg/L. (9)
Based on Statistics Canada sample size requirements, the only types
of learning disabilities that we considered were ADD and ADHD.
([dagger]) Column contains bivariate associations between predictor
variable and the outcome (parental- or self-reported diagnosis of
ADHD).
([double dagger]) Column contains associations from single model
containing all predictor variables (age, sex, household income
adequacy, and highest attained education in the household).
Table 3b. Results from logistic regression where parental-or self-
reported diagnosis of ADD (no hyperactivity) among children aged 3-
12 years was regressed on urinary fluoride for Cycle 2 of the CHMS
Predictor Cycle 2 of CHMS
Unadjusted ([dagger]) Adjusted ([double
estimates for the dagger]) estimates
fluoride subsample for the fluoride
(OR, 95% CI) subsample (OR, 95%
CI)
Urinary fluoride 0.98 (95% CI: 0.99 (95% CI:
([micro]mol/L) (cont) 0.93-1.04) 0.93-1.05)
Creatinine-adjusted 0.62 *** (95% CI: 0.79 (95% CI:
urinary fluoride 0.47-0.83) 0.59-1.06)
([micro]mol/mmol)
(cont)
Specific 0.97 (95% CI: 0.98 (95% CI:
gravity-adjusted 0.92-1.03) 0.94-1.03)
urinary fluoride
([micro]mol/L) (cont)
Note: One or more parameters could not be estimated in 30 bootstrap
replicate. We report urinary fluoride and specific gravity/adjusted
urinary fluoride in units of micromoles per litre ([micro]mol/L),
creatinine/adjusted urinary fluoride in units of micromoles per
millimole ([micro]mol/mmol), and fluoride concentration of tap water
in units of milligrams per litre (mg/L) to be consistent with how
these variables are presented in Statistics Canada documentation. One
can convert micromoles per litre of fluoride to milligrams per litre
using the following formula: 1 [micro]mol/L equals 0.019 mg/L. (9)
Based on Statistics Canada sample size requirements, the only types
of learning disabilities that we considered were ADD and ADHD.
*** p < 0.01; ** p < 0.05; * p < 0.1.
([dagger]) Column contains bivariate associations between predictor
variable and the outcome (parental- or self-reported diagnosis of
ADD).
([double dagger]) Column contains associations from single model
containing all predictor variables (age, sex, household income
adequacy, and highest attained education in the household).
Table 4. Mean comparisons of urinary fluoride (Cycles 2 and 3) and
fluoride from tap water (Cycle 3 only) between those with and without
a parental-or self-reported diagnosis of a learning disability among
the constrained fluoride subsamples (weighted and bootstrapped)
Cycle 2 of CHMS
Mean urinary Creatinine/
fluoride (nmol/L) adjusted mean
for the urinary fluoride
constrained ([micro]mol/mmol)
fluoride subsample for the
([dagger]) constrained
fluoride subsample
([dagger])
Has not been diagnosed 39.33 (95% Cl: 5.33 (95% Cl:
with a learning disability 35.55-43.11) 4.46-6.20)
Has been diagnosed with a 41.91 (95% Cl: 5.28 (95% Cl:
learning disability 30.35-53.47) 2.97-7.59)
Cycle 2 of CHMS Cycle S of CHMS
Specific gravity/ Mean urinary
adjusted mean fluoride
urinary fluoride ([micro]mol/L) for
([micro]mol/L) for the constrained
the constrained fluoride subsample
fluoride subsample ([double dagger])
([dagger])
Has not been diagnosed 43.47 (95% Cl: 29.66 (95% Cl:
with a learning disability 39.25-47.69) 24.26-35.06)
Has been diagnosed with a 44.46 (95% Cl: 28.26 (95% Cl:
learning disability 32.24-56.68) 1 7.60-38.92)
Cycle S of CHMS
Creatinine/ Specific gravity/
adjusted mean adjusted mean
urinary fluoride urinary fluoride
([micro]mol/mmol) ([micro]mol/L) for
for the the constrained
constrained fluoride subsample
fluoride subsample ([double dagger])
([double dagger])
Has not been diagnosed 4.77 (95% Cl: 39.76 (95% Cl:
with a learning disability 3.28-6.26) 31.20-48.33)
Has been diagnosed with a 4.24 (95% Cl: 39.73 (95% Cl:
learning disability 2.66-5.81) 28.94-50.51)
Cycle S of CHMS
Mean fluoride
concentration of
tap water (mg/L)
for the
constrained
fluoride subsample
([double dagger])
Has not been diagnosed 0.36 (95% Cl:
with a learning disability 0.23-0.49)
Has been diagnosed with a 0.38 (95% Cl:
learning disability 0.21-0.56)
Note: We report urinary fluoride and specific gravity-adjusted
urinary fluoride in units of micromoles per litre ([micro]mol/L),
creatinine-adjusted urinary fluoride in units of micromoles per
millimole ([micro]mol/mmol), and fluoride concentration of tap water
in units of milligrams per litre (mg/L) to be consistent with how
these variables are presented in Statistics Canada documentation. One
can convert micromoles per litre of fluoride to milligrams per litre
using the following formula: 1 [micro]mol/L equals 0.019 mg/L. (9)
([dagger]) For Cycle 2, the constrained fluoride subsample refers to
children who: 1) attended a fluoridated data collection site, 2)
identified tap water was their primary source of drinking water at
home or away from home, and 3) lived in their current home for three
or more years.
([double dagger]) For Cycle 3, the constrained fluoride subsample
refers to children who: 1) attended a fluoridated data collection
site, 2) reported using fluoride-containing dental products at home,
and 3) reported ever having received fluoride treatments at the
dentist.
Table 5. Results from logistic regression where self-reported
diagnosis of a learning disability among children aged 3-12 years was
regressed on urinary fluoride, creatinine-adjusted urinary fluoride,
and specific gravity-adjusted urinary fluoride among the fluoride
subsample and the constrained fluoride subsample using pooled data
from Cycles 2 and 3 of the CHMS
Predictor variable Cycles 2 and 3 of CHMS
Urinary fluoride
Unadjusted Adjusted
([dagger]) ([double
estimates for dagger])
fluoride estimates for
subsample (OR, fluoride
95% CI) subsample (OR,
95% CI)
Urinary fluoride ([micro]mol/L) 1.01 *(95% CI: 1.02 **(95% CI:
(cont) 1.00-1.03) 1.00-1.03)
Creatinine-adjusted -- --
urinary fluoride ([micro]mol/
mmol) (cont)
Specific gravity-adjusted -- --
urinary fluoride ([micro]mol/L)
(cont)
Sex (ref: female) -- 1.90 **(95% CI:
1.11-3.26)
Age (cont) -- 1.31 ***(95% CI:
1.21-1.43)
Household income -- 0.88 (95% CI:
adequacy (ref: lower and 0.33-2.38)
middle income)
Highest attained -- 0.41 **(95% CI:
education in the 0.21 -0.80)
household (ref: less than
bachelor's degree)
Predictor variable Cycles 2 and 3 of CHMS
Creatinine-adjusted
urinary fluoride
Unadjusted Adjusted
([dagger]) ([double
estimates for dagger])
fluoride estimates for
subsample (OR, fluoride
95% CI) subsample (OR,
95% CI)
Urinary fluoride ([micro]mol/L) -- --
(cont)
Creatinine-adjusted 1.00 (95% CI: 1.04 (95% CI:
urinary fluoride ([micro]mol/ 0.91-1.10) 0.98-1.10)
mmol) (cont)
Specific gravity-adjusted -- --
urinary fluoride ([micro]mol/L)
(cont)
Sex (ref: female) -- 2.02 **(95% CI:
1.17-3.50)
Age (cont) -- 1.31 ***(95% CI:
1.19-1.46)
Household income -- 0.88 (95% CI:
adequacy (ref: lower and 0.32-2.45)
middle income)
Highest attained -- 0.41 **(95% CI:
education in the 0.21-0.81)
household (ref: less than
bachelor's degree)
Predictor variable Cycles 2 and 3 of CHMS
Specific gravity-adjusted
urinary fluoride
Unadjusted Adjusted
([dagger]) ([double
estimates for dagger])
fluoride estimates for
subsample (OR, fluoride
95% CI) subsample (OR,
95% CI)
Urinary fluoride ([micro]mol/L) -- --
(cont)
Creatinine-adjusted -- --
urinary fluoride ([micro]mol/
mmol) (cont)
Specific gravity-adjusted 1.01 (95% CI: 1.01 (95% CI:
urinary fluoride ([micro]mol/L) 1.00-1.02) 1.00-1.02
(cont)
Sex (ref: female) -- 2.04 **(95% CI:
1.17-3.54)
Age (cont) -- 1.31 ***(95% CI:
1.19-1.43)
Household income -- 0.89 (95% CI:
adequacy (ref: lower and 0.32-2.48)
middle income)
Highest attained -- 0.42 **(95% CI:
education in the 0.21-0.81)
household (ref: less than
bachelor's degree)
Predictor variable Cycles 2 and 3 of CHMS
Urinary fluoride
Unadjusted Adjusted
([dagger]) ([double
estimates for dagger])
constrained estimates for
fluoride constrained
subsample fluoride
([section]) (OR, subsample
95% CI) ([section]) (OR,
95% CI)
Urinary fluoride ([micro]mol/L) 1.02 *(95% CI: 1.02 **(95% CI:
(cont) 1.00-1.04) 1.00-1.04)
Creatinine-adjusted -- --
urinary fluoride ([micro]mol/
mmol) (cont)
Specific gravity-adjusted -- --
urinary fluoride ([micro]mol/L)
(cont)
Sex (ref: female) -- 1.82 (95% CI:
0.80-4.13)
Age (cont) -- 1.29 ***(95% CI:
1.13-1.47)
Household income -- 1.19 (95% CI:
adequacy (ref: lower and 0.36-3.98)
middle income)
Highest attained -- 0.31 **(95% CI:
education in the 0.12-0.81)
household (ref: less than
bachelor's degree)
Predictor variable Cycles 2 and 3 of CHMS
Creatinine-adjusted
urinary fluoride
Unadjusted Adjusted
([dagger]) ([double
estimates for dagger])
constrained estimates for
fluoride constrained
subsample fluoride
([section]) (OR, subsample
95% CI) ([section]) (OR,
95% CI)
Urinary fluoride ([micro]mol/L) -- --
(cont)
Creatinine-adjusted 1.02 (95% CI: 1.04 (95% CI:
urinary fluoride ([micro]mol/ 0.92-1.13) 0.97-1.12)
mmol) (cont)
Specific gravity-adjusted -- --
urinary fluoride ([micro]mol/L)
(cont)
Sex (ref: female) -- 1.99 (95% CI:
0.85-4.64)
Age (cont) -- 1.29 ***(95% CI:
1.11-1.51)
Household income -- 1.19 (95% CI:
adequacy (ref: lower and 0.33-4.28)
middle income)
Highest attained -- 0.32 **(95% CI:
education in the 0.12-0.88)
household (ref: less than
bachelor's degree)
Predictor variable Cycles 2 and 3 of CHMS
Specific gravity-adjusted
urinary fluoride
Unadjusted Adjusted
([dagger]) ([double
estimates for dagger])
constrained estimates for
fluoride constrained
subsample fluoride
([section]) (OR, subsample
95% CI) ([section]) (OR,
95% CI)
Urinary fluoride ([micro]mol/L) -- --
(cont)
Creatinine-adjusted -- --
urinary fluoride ([micro]mol/
mmol) (cont)
Specific gravity-adjusted 1.01 (95% CI: 1.01 (95% CI:
urinary fluoride ([micro]mol/L) 1.00-1.02) 1.00-1.02)
(cont)
Sex (ref: female) -- 2.04 (95% CI:
0.86-4.80)
Age (cont) -- 1.28 ***(95% CI:
1.11-1.47)
Household income -- 1.21 (95% CI:
adequacy (ref: lower and 0.36-4.34)
middle income)
Highest attained -- 0.32 **(95% CI:
education in the 0.12-0.85)
household (ref: less than
bachelor's degree)
Note: We report urinary fluoride and specific gravity/adjusted
urinary fluoride in units ofmicromoles per litre ([micro]mol/L),
creatinine/adjusted urinaryfluoride in units ofmicromoles
permillimole ([micro]mol/mmol), and fluoride concentration oftap
water in units of milligrams per litre (mg/L) to be consistent with
how these variables are presented in Statistics Canada documentation.
One can convert micromoles per litre of fluoride to milligrams per
litre using the following formula: 1 [micro]mol/L equals 0.019 mg/
L.9 *** p < 0.01; ** p < 0.05; * p < 0.1.
([dagger]) Column contains bivariate associations between predictor
variable and the outcome (diagnosis of a learning disability).
([double dagger]) Column contains associations from single model
containing all predictor variables (age, sex, household income
adequacy, and highest attained education in the household).
([section]) For Cycles 2 and 3 combined, the constrained fluoride
subsample refers to children who attended a fluoridated data
collection site.
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