Maelstrom Research Staging | SHeS_pp_Self_selected_sample_Data

SHeS_pp_Self_selected_sample_Data_capture

Networks -

Variables -

Associated study SHeS-pp Contingency Table

Population

SHeS-pp - Self-selected sample

The population is composed of Swiss residents aged 20 to 69 years old who spontaneously fill in the study questionnaires on the study website.

Selection Criteria

Minimum age

Maximum age

Newborns

Twins

Countries

Switzerland

Ethnic Origin

Health Status

Other Criteria

Inclusion criteria : * Able to fill in questionnaires in French, German or Italian. * Capable of judgement to provide informed consent. Exclusion criteria : * Not capable of understanding the study information (e.g. language, psycho-cognitive impairment etc.) * Unable to respond to the questions (e.g. language, psycho-cognitive or motor impairment etc.) * Institutionalized persons (e.g. in prisons, nursing homes, etc.)

Supplementary Information about selection criteria

Recruitment

Sources of recruitment

General population

General Population

Volunteer enrolment

Supplementary Information

Swiss residents aged 20 to 69 years were eligible to spontaneously fill in the study questionnaires on the study website.

Number of Participants

Number of Participants: 360
Number of Participants with Biological Samples: 9
Supplementary Information about selection criteria: 9 participants were invited to the study visit and provided biosamples.

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Data Collection Event

SHeS-pp - Self-selected sample - Data capture

Information on personal administrative data, attitude towards health research, environment and occupational exposures, lifestyle, healthmedical history, quality of life, and coronavirus were collected through questionnaire. Blood and urine samples were also collected for a subgroup of participants.

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Collected Dataset / SHeS_pp_Self_selected_sample_Data_capture

SHeS_pp_Self_selected_sample_Data_capture

Population

SHeS-pp - Self-selected sample

Data Collection Event

SHeS-pp - Self-selected sample - Data capture

Files

Variables Classifications