Adolescence and health inequalities: Extensions to macintyre and west

Glendinning, Anthony; Love, John G; Hendry, Leo B.; Shucksmith, Janet

doi:10.1016/0277-9536(92)90006-c

Cited by 71 publications

(40 citation statements)

References 5 publications

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“…In three indicators: vitality, long-standing illness and number of health complaints, significantly worse health was reported by third grade females (mean age 17.8). These findings were surprising and differed from earlier studies (Glendinning, Love, Hendry, & Shucksmith, 1992;Rahkonen, Arber, & Lahelma, 1995;Waters, Wake, Toumbourou, Wright, & Salmon, 1999). With regard to age differences, it is important to take into account the way in which the age groups for the present study were created.…”

Section: Resultscontrasting

confidence: 54%

Health status among young people in Slovakia: comparisons on the basis of age, gender and education

Sleskova

Salonna

Gecková

et al. 2005

Social Science & Medicine

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Health status among young people in Slovakia Sleskova, M.; Salonna, F.; Madarasova-Geckova, A.; van Dijk, J.P.; Groothoff, J.W. AbstractThis study examines the health status of young people in Slovakia. Six subjective health indicators (self-rated health, long-standing illness, vitality, mental health, long-term well-being over the last year and occurrence of health complaints during the previous month) were used to assess the health status of three age groups: first grade secondary school students (mean age 15.9 years), third grade students (mean age 17.8 years) and secondary school leavers (mean age 19.6 years). Females rated their health worse than males on all six indicators (most of these differences were statistically significant). For males, younger age was associated with better self-rated health, less long-standing illness and higher levels of long-term well-being during the previous year. For females, the age differences were more complicated: third grade females reported significantly worse health status in terms of vitality, long-standing illness and number of health complaints than the other two age groups. An analysis of health status by educational level (attendance at or completion of grammar, technical or apprentice school), revealed that grammar school third grade females reported worse health than all other respondents on all six indicators. The third grade of grammar school in Slovakia puts particular stresses on students and, since it has been suggested that females may react more negatively than males to stressful events, this may contribute to their more negative self reports. r

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Section: Resultscontrasting

confidence: 54%

Health status among young people in Slovakia: comparisons on the basis of age, gender and education

Sleskova

Salonna

Gecková

et al. 2005

Social Science & Medicine

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“…The lack of a consistent graded effect of SES on adolescent health may be because most analyses that assess the SES-health gradient among adolescents use parental measures of SES, which do not tap the adolescent's emerging self-concept of social stratification. 33 …”

Section: Rationale For Instrument Developmentmentioning

confidence: 99%

Adolescents' Perceptions of Social Status: Development and Evaluation of a New Indicator

et al. 2001

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ABSTRACT. Objective. Eliminating health disparities, including those that are a result of socioeconomic status (SES), is one of the overarching goals of Healthy People 2010. This article reports on the development of a new, adolescent-specific measure of subjective social status (SSS) and on initial exploratory analyses of the relationship of SSS to adolescents' physical and psychological health.Methods. A cross-sectional study of 10 843 adolescents and a subsample of 166 paired adolescent/mother dyads who participated in the Growing Up Today Study was conducted. The newly developed MacArthur Scale of Subjective Social Status (10-point scale) was used to measure SSS. Paternal education was the measure of SES. Indicators of psychological and physical health included depressive symptoms and obesity, respectively. Linear regression analyses determined the association of SSS to depressive symptoms, and logistic regression determined the association of SSS to overweight and obesity, controlling for sociodemographic factors and SES.Results. Mean society ladder ranking, a subjective measure of SES, was 7.2 ؎ 1.3. Mean community ladder ranking, a measure of perceived placement in the school community, was 7.6 ؎ 1.7. Reliability of the instrument was excellent: the intraclass correlation coefficient was 0.73 for the society ladder and 0.79 for the community ladder. Adolescents had higher society ladder rankings than their mothers ( teen ‫؍‬ 7.2 ؎ 1.3 vs mom ‫؍‬ 6.8 ؎ 1.2; P ‫؍‬ .002). Older adolescents' perceptions of familial placement in society were more closely correlated with maternal subjective perceptions of placement than those of younger adolescents (Spearman's rho teens <15 years ‫؍‬ 0.31 vs Spearman's rho teens >15 years ‫؍‬ 0.45; P < .001 for both). SSS explained 9.9% of the variance in depressive symptoms and was independently associated with obesity (odds ratio society ‫؍‬ 0.89, 95% confidence interval ‫؍‬ 0.83, 0.95; odds ratio community ‫؍‬ 0.91, 95% confidence interval ‫؍‬ 0.87, 0.97). For both depressive symptoms and obesity, community ladder rankings were more strongly associated with health than were society ladder rankings in models that controlled for both domains of SSS. T he elimination of health disparities among different population segments, including differences related to socioeconomic status (SES), is the second overarching goal of Healthy People 2010. Recently, the American Academy of Pediatrics also recognized and highlighted the importance of addressing SES as an causative agent in the creation of health differentials and called for additional research to understand the impact of SES across the life course. 1 The inverse, graded relationship between SES and infant, child, and adult health is well established. [2][3][4][5][6][7][8][9][10][11] However, among adolescents, the SES gradient in health is present inconsistently. 12-15 A number of models have been proposed to explain the different patterning of SES effects on adolescent health. 2,16 Choosing the most appropriate model(s) has been...

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“…We chose to use the SF-36's GHP measure because the SF-36 mea¬ sures GHP on a continuous scale from 0 to f 00, and may, therefore, discern a difference missed by dichotomous mea¬ sures used in previous studies." [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26] Although the SF-36 was developed for use among adolescents and adults, to our knowledge, this is the first study that reports SF-36 data from an adolescent population. Therefore, the lower GHP and social functioning scores found among UMC females, ranging from 6 to f 2 points on a 100-point scale, are prob¬ ably psychologically and behaviorally significant.…”

Section: Hierarchical Regression Modelsmentioning

confidence: 99%

Influences of Gender and Social Class on Adolescents' Perceptions of Health

Goodman¹

1997

Arch Pediatr Adolesc Med

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Adolescence and health inequalities: Extensions to macintyre and west

Cited by 71 publications

References 5 publications

Health status among young people in Slovakia: comparisons on the basis of age, gender and education

Health status among young people in Slovakia: comparisons on the basis of age, gender and education

Adolescents' Perceptions of Social Status: Development and Evaluation of a New Indicator

Influences of Gender and Social Class on Adolescents' Perceptions of Health

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