Literature DB >> 4012232

Participants and non-participants of different categories in a health survey. A cross-sectional register study.

C G Ohlson, B Ydreborg.   

Abstract

Participants and non-participants in a health survey of asbestos cement workers were compared, using data from public registers, i.e. variables of socio-medical relevance. The plant closed down in 1976 and 3 years later all living subjects, 985 persons, were offered a health examination. The participation rate was 57%. The non-participants were divided into four categories: I, those who answered the invitation but refused to participate; II, those who did not answer even after three invitations; III, those who answered and accepted but did not participate; and IV, those who participated partly. A very consistent pattern of differences between participants and non-participants was observed, the latter being significantly more often registered for Public Assistance, for heavy drinking habits or criminal offences, and had significantly lower incomes and occupational status. The sickness absence, however, was not significantly shorter among the participants. The non-participating categories II and III differed most from the participants. Category I was more similar to the participants than to the other non-participating categories. This heterogeneity of the non-response/non-participation concept should be considered when health survey data are interpreted.

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Year:  1985        PMID: 4012232     DOI: 10.1177/140349488501300203

Source DB:  PubMed          Journal:  Scand J Soc Med        ISSN: 0300-8037


  7 in total

1.  Nonresponse bias in survey estimates of alcohol consumption and its association with harm.

Authors:  Deborah A Dawson; Risë B Goldstein; Roger P Pickering; Bridget F Grant
Journal:  J Stud Alcohol Drugs       Date:  2014-07       Impact factor: 2.582

2.  Determinants of non-participation, and the effects of non-participation on potential cause-effect relationships, in the PART study on mental disorders.

Authors:  Ingvar Lundberg; Kerstin Damström Thakker; Tore Hällström; Yvonne Forsell
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2005-06       Impact factor: 4.328

3.  Participation in a follow up study of health among unemployed and employed people after a company closedown: drop outs and selection bias.

Authors:  L Iversen; S Sabroe
Journal:  J Epidemiol Community Health       Date:  1988-12       Impact factor: 3.710

4.  Exploring secular changes in the association between BMI and waist circumference in Mexican-origin and white women: a comparison of Mexico and the United States.

Authors:  Sandra S Albrecht; Simon Barquera; Barry M Popkin
Journal:  Am J Hum Biol       Date:  2014-06-11       Impact factor: 1.937

5.  Factors relating to participation in follow-up to the 45 and up study in Aboriginal and non-Aboriginal individuals.

Authors:  Lina Gubhaju; Emily Banks; Rona Macniven; Grace Joshy; Bridgette J McNamara; Adrian Bauman; Sandra J Eades
Journal:  BMC Med Res Methodol       Date:  2016-05-11       Impact factor: 4.615

6.  Quality of life following trauma before and after implementation of a physician-staffed helicopter.

Authors:  K S Funder; L S Rasmussen; R Hesselfeldt; V Siersma; N Lohse; A Sonne; S Wulffeld; J Steinmetz
Journal:  Acta Anaesthesiol Scand       Date:  2017-01       Impact factor: 2.105

7.  Revisiting the continuum of resistance model in the digital age: a comparison of early and delayed respondents to the Norwegian counties public health survey.

Authors:  Benjamin Clarsen; Jens Christoffer Skogen; Thomas Sevenius Nilsen; Leif Edvard Aarø
Journal:  BMC Public Health       Date:  2021-04-15       Impact factor: 3.295

  7 in total

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