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Data Resource Profile: Cross-national and cross-study sociodemographic and health-related harmonized domains from SAGE plus ELSA, HRS and SHARE (SAGE+, Wave 1).

ABSTRACT: Four longitudinal studies were included in this rigorous harmonization process: the Study on global AGEing and adult health (SAGE); English Longitudinal Study on Ageing (ELSA); US Health and Retirement Study (HRS); and Survey of Health, Ageing and Retirement in Europe (SHARE). An ex-post harmonized process was applied to nine health-related thematic domains (socio-demographic and economic, health states, overall self-report of health and mental state, health examinations, physical and mental performance tests, risk factors, chronic conditions, social network and subjective well-being) for data from the 2004 wave of each study. Large samples of adults aged 50 years and older were available from each study: SAGE, n = 18 886; ELSA, n = 9181; HRS, n = 19 303; and SHARE, n = 29 917. The microdata, along with further details about the harmonization process and all metadata, are available through the World Health Organization (WHO) data archive at [http://apps.who.int/healthinfo/systems/surveydata/index.php/catalog]. Further information and enquiries can be made to [sagesurvey@who.int] or the corresponding author. The data resource will continue to be updated with data across additional waves of these surveys and new waves.

SUBMITTER: Minicuci N

PROVIDER: S-EPMC5100618 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

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Data Resource Profile: Cross-national and cross-study sociodemographic and health-related harmonized domains from SAGE plus ELSA, HRS and SHARE (SAGE+, Wave 1).

Minicuci Nadia N Naidoo Nirmala N Chatterji Somnath S Kowal Paul P

International journal of epidemiology 20161029 5

Four longitudinal studies were included in this rigorous harmonization process: the Study on global AGEing and adult health (SAGE); English Longitudinal Study on Ageing (ELSA); US Health and Retirement Study (HRS); and Survey of Health, Ageing and Retirement in Europe (SHARE). An ex-post harmonized process was applied to nine health-related thematic domains (socio-demographic and economic, health states, overall self-report of health and mental state, health examinations, physical and mental per ...[more]

PMID: 27794522

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Project description:BACKGROUND:Violence victimisation and violence perpetration may co-occur in adolescents. Understanding the sociodemographic correlates of the independent and joint profiles of victimisation and perpetration may inform preventive interventions. This study examined the associations of sociodemographic factors with four violence typologies, namely, 1) non-involvement in both victimisation and perpetration, 2) victims only, 3) perpetrators only, and 4) victim-perpetrators. Trends in the prevalence of the four violence typologies over the three survey years were also examined. METHODS:We used data from the three nationally representative South African Youth Risk Behaviour Surveys conducted in 2002, 2008, and 2011 and included a multi-ethnic sample of adolescents (n?=?30,007; boy: 46.9%, girls: 53.1%; M age?=?16?years, SD?=?.06). RESULTS:The sample consisted of 8030 (30.8%) adolescents who had non-involvement in both victimisation and perpetration, 8217 were victims only (29.8%), 2504 were perpetrators only (9.0%), and 7776 were victim-perpetrators (24.6%). Logistic regression analyses showed that being a girl increased the odds of non-involvement (OR: 1.47, 99% CI: 1.36-1.58) and being victims only (OR: 1.90, 99% CI: 1.76-2.05). Being a boy increased the odds of being perpetrators only (OR: 0.42, 99% CI: 0.37-0.47) and victim-perpetrators (OR: 0.51, 99% CI: 0.47-0.55). Adolescents who did not have an absent mother had higher odds of non-involvement (OR: 0.78, 99% CI: 0.62-0.97). Lower monthly allowance increased the odds of victimisation only (OR: 0.99, 99% CI: 0.97-1.00), whereas higher monthly allowance increased the odds of perpetration only (OR: 1.05, 99% CI: 1.03-1.08). Trend analysis showed that between 2002 to 2011, there was an increase in the prevalence of non-involvement in adolescents (p?<?.001), a decrease in the prevalence of victims only (p?<?.05) and victim-perpetrators (p?<?.001), and no changes in the prevalence of perpetrators only (p?>?.05). CONCLUSIONS:Sociodemographic factors are uniquely associated with different violence typologies suggesting the need for tailored interventions to target adolescents with differed risks to violence victimisation and perpetration. Strengthening family relations, particularly between mother and child, may protect adolescents from the experiences of victimisation and perpetration.

Dataset Information

Data Resource Profile: Cross-national and cross-study sociodemographic and health-related harmonized domains from SAGE plus ELSA, HRS and SHARE (SAGE+, Wave 1).

Publications

Data Resource Profile: Cross-national and cross-study sociodemographic and health-related harmonized domains from SAGE plus ELSA, HRS and SHARE (SAGE+, Wave 1).

Similar Datasets

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