Childhood and adulthood risk factors for socio-economic differentials in psychological distress: evidence from the 1958 British birth cohort

Power, Chris; Stansfeld, Stephen; Matthews, Sharon; Manor, Orly; Hope, Steven

doi:10.1016/s0277-9536(01)00325-2

Cited by 155 publications

(151 citation statements)

References 67 publications

Supporting

Mentioning

133

Contrasting

Unclassified

Order By: Relevance

“…However, prospective studies are necessary to discern the temporality of these associations more definitively. It is important to note that we focused on participants' current SES, and did not examine childhood socioeconomic position, which may be a separate determinant of mental health outcomes (Gilman, Kawachi, Fitzmaurice, & Buka, 2002;Power et al, 2002).…”

Section: Discussionmentioning

confidence: 99%

“…Today, there is general consensus that SES plays a significant role in the aetiology of depression, through mechanisms of both increased individual vulnerability and reduced access to protective resources (Muntaner, Eaton, Miech, & O'Campo, 2004). Prospective studies from Britain (Power, Stansfeld, Matthews, Manor, & Hope, 2002) and the United States (Johnson, Cohen, Dohrenwend, Link, & Brooks, 1999) have found the incidence of depression higher among individuals of lower SES, and meta-analysis has suggested that individuals from the lowest socioeconomic stratum of society are at 1.5-2.0 times the risk of a major depressive episode compared to individuals from the highest socioeconomic stratum (Lorant et al, 2003). There is less evidence regarding the association between SES and different anxiety disorders (Muntaner et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Social determinants of psychological distress in a nationally-representative sample of South African adults

Myer¹,

Stein²,

Grimsrud³

et al. 2008

Social Science & Medicine

195

176

View full text Add to dashboard Cite

There is substantial evidence from developed countries that lower socioeconomic status (SES) is associated with increased occurrence of mental illness, and growing interest in the role of social support and social capital in mental health. However, there are few data on social determinants of mental health from low-and middle-income nations. We examined the association between psychological distress and SES, social support and bonding social capital in a nationallyrepresentative sample of South African adults. As part of a national survey of mental health, a probability sample of 4351 individuals was interviewed between 2002 and 2004. Non-specific psychological distress was measured using the Kessler K-10 scale. SES was assessed from an aggregate of household income, individual educational and employment status, and household material and financial resources. Social support, bonding social capital and traumatic life events were measured using multi-item scales. The mean age in the sample was 37 years and 76% of participants were black African. Measures of SES and social capital were inversely associated (p < 0.001). Both recent and traumatic life events were more common among individuals with low levels of SES and social support. After adjusting for participant demographic characteristics and life events, high levels of psychological distress were most common among individuals with lower levels of SES and social capital. There was no independent association between levels of social support and psychological distress. The occurrence of recent life events appeared to partially mediate the association between SES and psychological distress (p = 0.035) but not the association involving social capital (p = 0.40). These data demonstrate persistent associations between levels of SES, social capital and psychological distress in South Africa. The increased frequency of recent life events appears to only partially explain higher levels of psychological distress among individuals of lower SES. Additional research is required to understand the temporality of this association as well as mechanisms through which SES and social capital influence mental health ☆

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Social determinants of psychological distress in a nationally-representative sample of South African adults

Myer¹,

Stein²,

Grimsrud³

et al. 2008

Social Science & Medicine

195

176

View full text Add to dashboard Cite

show abstract

“…30 The data analysis approach applied here has been used in previous studies. 30,31 Collinearity between the independent variables was explored using the technique developed by Wax 32 and found results unaffected. All the analyses were performed separately for men and women.…”

Section: Discussionmentioning

confidence: 99%

A life-course approach in explaining social inequity in obesity among young adult men and women

2005

View full text Add to dashboard Cite

Objective: To examine the cumulative influence of adverse behavioural, social, and psychosocial circumstances from adolescence to young adulthood in explaining social differences in overweight and obesity at age 30 years and if explanations differ by gender. Design: A 14-year longitudinal study with 96.4% response rate. Subject: Data from 547 men and 497 women from a town in north Sweden who were baseline examined at age 16 years and prospectively followed up to age 30 years. Measurements: Overweight and obesity were ascertained at ages 16 and 30 years. Occupation and education were used to measure socioeconomic status. The explanatory measurements were: age at menarche, smoking, physical activity, alcohol consumption, TV viewing, home and school environment, social support, social network, and work environment. Results: No gender or social difference in overweight was observed at age 16 years. At age 30 years, significantly more men than women (odds ratio (OR) ¼ 2.81, 95% confidence interval (CI) 2.14-3.68) were overweight or obese. Educational level was associated with overweight at age 30 years, but not occupational class. Both men (OR ¼ 1.55, 95% CI 1.10-2.19) and women (OR ¼ 1.78, 95% CI 1.16-2.73) with low education (p11 years) were at risk of overweight. The factors that explained the educational gradient in overweight among men were low parental support in education during adolescence, and physical inactivity, alcohol consumption, and nonparticipation in any association during young adulthood. The educational gradient in overweight in women was explained mostly by adolescence factors, which include early age at menarche, physical inactivity, parental divorce, not being popular in school, and low school control. Restricted financial resource during young adulthood was an additional explanatory factor for women. All these factors were significantly more common among men and women with low education than with high education. Conclusion: Social inequities in overweight reflect the cumulative influence of multiple adverse circumstances experienced from adolescence to young adulthood. Underlying pathways to social inequity in overweight differ between men and women. Policy implications to reduce social inequity in overweight include reduction of social differences in health behaviours and social circumstances that take place at different life stages, particularly psychosocial circumstances during adolescence.

show abstract

“…14,15 Second, women's health conditions have been clearly associated with SES. 7,[16][17][18][19][20] A better understanding of how social gradients in women's health shape health disparities in the next generation may lead to new clinical and public health opportunities for disparity reduction.…”

mentioning

confidence: 99%

Intergenerational Health Disparities: Socioeconomic Status, Women's Health Conditions, and Child Behavior Problems

2005

View full text Add to dashboard Cite

SYNOPSISObjective. Relatively little is known about the intergenerational mechanisms that lead to social disparities in child health. We examined whether the association between low socioeconomic status (SES) and child behavior problems is mediated by maternal health conditions and behavior.Methods. Prospective cohort data (1979-1998) on 2,677 children and their mothers were obtained from the National Longitudinal Survey of Youth. SES, the Child Behavior Problems Index (BPI), and maternal smoking, depressive symptoms, and alcohol use before, during, and after pregnancy were examined.Results. Lower income and lower maternal education were associated with increased child BPI scores. Adjustment for maternal smoking, depressive symptoms, and alcohol use attenuated the associations between SES and child BPI by 26% to 49%. These maternal health conditions often occurred together, persisted over time, and were associated with the mother's own childhood SES and pre-pregnancy health.Conclusions. Social disparities in women's health conditions may help shape the likelihood of behavior problems in the subsequent generation. Improved public health programs and services for disadvantaged women across the lifecourse may not only address their own urgent health needs, but reduce social disparities in the health and well-being of their children.

show abstract

Childhood and adulthood risk factors for socio-economic differentials in psychological distress: evidence from the 1958 British birth cohort

Cited by 155 publications

References 67 publications

Social determinants of psychological distress in a nationally-representative sample of South African adults

Social determinants of psychological distress in a nationally-representative sample of South African adults

A life-course approach in explaining social inequity in obesity among young adult men and women

Intergenerational Health Disparities: Socioeconomic Status, Women's Health Conditions, and Child Behavior Problems

Contact Info

Product

Resources

About