<p>Note: Participants who completed the CHLSalt-HK but had missing data on the demographics variables were included in the analysis if the missing value was not involved in the respective analysis.</p><p>Characteristics of the respondents (n = 603).</p
<p>Numbers are average ± SD. CRP* was calculated as median. NA means no data was available.</p><p>Ch...
<p>* Data were missing for some respondents for the following characteristics: marital status (38), ...
*<p>Due to rounding percentages do not always add to 100% ** Where there was missing data for a demo...
<p>Number of observations varies across characteristics due to missing data.</p><p>Demographic chara...
<p>i Missing 4 responses</p><p>ii missing 15 responses</p><p>iii missing one response</p><p>Socio-de...
<p>*59 missing values in urban area.</p><p>Demographic characteristics of study participants in urba...
<p><sup>*</sup>Few data were missing.</p><p>Characteristics of the female participants in the study....
<p><sup>1</sup>One person had missing data for this variable. In addition, 25 respondents had never ...
<p>N = 389 (100%): Missing are included therefore percentage do not always add up to 100 percent.</p...
<p>*data on 83 participants were not recorded</p><p>Demographic characteristics of the study sample ...
<p>The characteristics used in each analysis are presented as percent non-missing data.</p><p>Note</...
<p>*in cases where the denominator is less than 641, there were missing data as a result of non-resp...
<p>*Numbers may not add up to 55 due to missing data. Percentages have been calculated using valid c...
<p>*Inconsistency between total population and population summed for individual variable was due to ...
1, 2, 3<p>Number of missing data.</p><p>Baseline characteristics of the study population.</p
<p>Numbers are average ± SD. CRP* was calculated as median. NA means no data was available.</p><p>Ch...
<p>* Data were missing for some respondents for the following characteristics: marital status (38), ...
*<p>Due to rounding percentages do not always add to 100% ** Where there was missing data for a demo...
<p>Number of observations varies across characteristics due to missing data.</p><p>Demographic chara...
<p>i Missing 4 responses</p><p>ii missing 15 responses</p><p>iii missing one response</p><p>Socio-de...
<p>*59 missing values in urban area.</p><p>Demographic characteristics of study participants in urba...
<p><sup>*</sup>Few data were missing.</p><p>Characteristics of the female participants in the study....
<p><sup>1</sup>One person had missing data for this variable. In addition, 25 respondents had never ...
<p>N = 389 (100%): Missing are included therefore percentage do not always add up to 100 percent.</p...
<p>*data on 83 participants were not recorded</p><p>Demographic characteristics of the study sample ...
<p>The characteristics used in each analysis are presented as percent non-missing data.</p><p>Note</...
<p>*in cases where the denominator is less than 641, there were missing data as a result of non-resp...
<p>*Numbers may not add up to 55 due to missing data. Percentages have been calculated using valid c...
<p>*Inconsistency between total population and population summed for individual variable was due to ...
1, 2, 3<p>Number of missing data.</p><p>Baseline characteristics of the study population.</p
<p>Numbers are average ± SD. CRP* was calculated as median. NA means no data was available.</p><p>Ch...
<p>* Data were missing for some respondents for the following characteristics: marital status (38), ...
*<p>Due to rounding percentages do not always add to 100% ** Where there was missing data for a demo...
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