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Oversampling as a methodological strategy for the study of self-reported health among lesbian, gay and bisexual populations.
Scand J Public Health. 2017 Aug; 45(6):637-646.SJ

Abstract

AIMS

Epidemiological research on lesbian, gay and bisexual populations raises concerns regarding self-selection and group sizes. The aim of this research was to present strategies used to overcome these challenges in a national population-based web survey of self-reported sexual orientation and living conditions-exemplified with a case of daily tobacco smoking.

METHODS

The sample was extracted from pre-established national web panels. Utilizing an oversampling strategy, we established a sample including 315 gay men, 217 bisexual men, 789 heterosexual men, 197 lesbian women, 405 bisexual women and 979 heterosexual women. We compared daily smoking, representing three levels of differentiation of sexual orientation for each gender.

RESULTS

The aggregation of all non-heterosexuals into one group yielded a higher odds ratio (OR) for non-heterosexuals being a daily smoker. The aggregation of lesbian and bisexual women indicated higher OR between this group and heterosexual women. The full differentiation yielded no differences between groups except for bisexual compared with heterosexual women.

CONCLUSIONS

The analyses demonstrated the advantage of differentiation of sexual orientation and gender, in this case bisexual women were the main source of group differences. We recommend an oversampling procedure, making it possible to avoid self-recruitment and to increase the transferability of findings.

Authors+Show Affiliations

1 Research Unit for General Practice, Uni Health Research, Bergen, Norway. 2 Department of Psychosocial Science, University of Bergen, Norway.1 Research Unit for General Practice, Uni Health Research, Bergen, Norway. 3 Department of Global Public Health and Primary Care, University of Bergen, Norway. 4 The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Denmark.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

28675963

Citation

Anderssen, Norman, and Kirsti Malterud. "Oversampling as a Methodological Strategy for the Study of Self-reported Health Among Lesbian, Gay and Bisexual Populations." Scandinavian Journal of Public Health, vol. 45, no. 6, 2017, pp. 637-646.
Anderssen N, Malterud K. Oversampling as a methodological strategy for the study of self-reported health among lesbian, gay and bisexual populations. Scand J Public Health. 2017;45(6):637-646.
Anderssen, N., & Malterud, K. (2017). Oversampling as a methodological strategy for the study of self-reported health among lesbian, gay and bisexual populations. Scandinavian Journal of Public Health, 45(6), 637-646. https://doi.org/10.1177/1403494817717407
Anderssen N, Malterud K. Oversampling as a Methodological Strategy for the Study of Self-reported Health Among Lesbian, Gay and Bisexual Populations. Scand J Public Health. 2017;45(6):637-646. PubMed PMID: 28675963.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Oversampling as a methodological strategy for the study of self-reported health among lesbian, gay and bisexual populations. AU - Anderssen,Norman, AU - Malterud,Kirsti, Y1 - 2017/07/04/ PY - 2017/7/6/pubmed PY - 2017/8/24/medline PY - 2017/7/6/entrez KW - Homosexual KW - bisexuality KW - gay KW - generalizability KW - health survey KW - lesbian KW - methodology KW - minority health KW - oversampling KW - survey SP - 637 EP - 646 JF - Scandinavian journal of public health JO - Scand J Public Health VL - 45 IS - 6 N2 - AIMS: Epidemiological research on lesbian, gay and bisexual populations raises concerns regarding self-selection and group sizes. The aim of this research was to present strategies used to overcome these challenges in a national population-based web survey of self-reported sexual orientation and living conditions-exemplified with a case of daily tobacco smoking. METHODS: The sample was extracted from pre-established national web panels. Utilizing an oversampling strategy, we established a sample including 315 gay men, 217 bisexual men, 789 heterosexual men, 197 lesbian women, 405 bisexual women and 979 heterosexual women. We compared daily smoking, representing three levels of differentiation of sexual orientation for each gender. RESULTS: The aggregation of all non-heterosexuals into one group yielded a higher odds ratio (OR) for non-heterosexuals being a daily smoker. The aggregation of lesbian and bisexual women indicated higher OR between this group and heterosexual women. The full differentiation yielded no differences between groups except for bisexual compared with heterosexual women. CONCLUSIONS: The analyses demonstrated the advantage of differentiation of sexual orientation and gender, in this case bisexual women were the main source of group differences. We recommend an oversampling procedure, making it possible to avoid self-recruitment and to increase the transferability of findings. SN - 1651-1905 UR - https://www.unboundmedicine.com/medline/citation/28675963/Oversampling_as_a_methodological_strategy_for_the_study_of_self_reported_health_among_lesbian_gay_and_bisexual_populations_ L2 - https://journals.sagepub.com/doi/10.1177/1403494817717407?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub=pubmed DB - PRIME DP - Unbound Medicine ER -