Methods |
Study design |
4 |
Present key elements of study design early in the paper. |
17 (100) |
Setting |
5 |
Describe the setting, locations, and relevant dates, including periods of recruitment, exposure, follow-up, and data collection. |
10 (59) |
Participants |
6 |
Cross-sectional study: give the eligibility criteria, and the sources and methods of selection of participants. |
17 (100) |
Variables |
7 |
Clearly define all outcomes, exposures, predictors, potential confounders, and effect modifiers. Give diagnostic criteria, if applicable. |
16 (94) |
Data sources/measurement |
8 |
For each variable of interest, give sources of data and details of methods of assessment (measurement). Describe comparability of assessment methods if there is more than one group. |
16 (94) |
Bias |
9 |
Describe any efforts to address potential sources of bias. |
7 (41) |
Study size |
10 |
Explain how the study size was arrived at. |
9 (53) |
Quantitative variables |
11 |
Explain how quantitative variables were handled in the analyses. If applicable, describe which groupings were chosen and why. |
16 (94) |
Statistical methods |
12a |
Describe all statistical methods, including those used to control for confounding. |
15 (88) |
12b |
Describe any methods used to examine subgroups and interactions. |
15 (88) |
12c |
Explain how missing data was addressed. |
4 (24) |
12d |
Cross-sectional study: If applicable, describe analytical methods taking account of sampling strategy. |
7 (41) |
12e |
Describe any sensitivity analyses. |
1 (6) |
Results |
Participants |
13a |
Report numbers of individuals at each stage of study-eg numbers potentially eligible, examined for eligibility, confirmed eligible, included in the study, completing follow-up, and analysed |
4 (24) |
13b |
Give reasons for non-participation at each stage. |
5 (299 |
13c |
Consider use of a flow diagram. |
3 (18) |
Descriptive data |
14a |
Give characteristics of study participants (eg. Demographic, clinical, social) and information on exposures and potential confounders. |
13 (76) |
14b |
Indicate number of participants with missing data for each variable of interest. |
3 (18) |
Outcome data |
15 |
Cross-sectional study: report numbers of outcome events or summary measures. |
17 (100) |
Main results |
16a |
Give unadjusted estimates and , if applicable, confounder-adjusted estimates and their precision (eg. 95% confidence interval). Make clear which confounders were adjusted for and why they were included. |
16 (94) |
16b |
Report category boundaries when continuous variables were categorized. |
NA |
16c |
If relevant, consider translating estimates of relative risk into absolute risk for a meaningful time period. |
NA |
Other analyses |
17 |
Report other analyses done - eg. analyses of subgroups and interactions, and sensitivity analyses. |
15 (85) |