| Factor Information | |
|---|---|
| Data ID | 546 |
| Factor | altitude |
| Description | Univariate analysis showed that with ascending altitude, the total prevalence of CHD, that in girls and boys with CHD, and that of the subtypes PDA and ASD increasing accordingly. Thus, environmental factors greatly contributed to the prevalence of CHD. |
| Biomarker | NA |
| Classification | B4 (environmental factor - other) |
| Association | |
|---|---|
| Application | risk assessment |
| Objective | the total prevalence of CHD |
| p Value | <0.001 |
| Conclusion | Univariate analysis showed that with ascending altitude, the total prevalence of CHD, that in girls and boys with CHD, and that of the subtypes PDA and ASD increasing accordingly. Thus, environmental factors greatly contributed to the prevalence of CHD. |
| Risk Factor | risk factor (article mentioned) |
| CHD Type | |
|---|---|
| ID | 469 |
| CHD Type | isolated CHD |
| CHD Subtype | PDA/ASD/VSD |
| Reference | |
|---|---|
| PMID | 29426137 |
| Year | 2018 |
| Title | Spatial pattern and variations in the prevalence of congenital heart disease in children aged 4-18years in the Qinghai-Tibetan Plateau. |
| Sample | ||
|---|---|---|
| Population | children | |
| Source | Epidemiological data, survey | |
| Region | Qinghai-Tibetan Plateau, China | |
| Method | Getis-Ord Gi, Bayesian spatial binomial regression | |
| Race | Asian | |
| Disease History | NA | |
| Treatment History | NA | |
| Group | N/A(Treatment) | N/A(Control) |
| Number | 288066 | NA |
| Age | 4-18 years | NA |
| Gender (Male: Female) | NA | NA |
| Marker Level | N/A | N/A |
