Socioeconomic Position Trajectories Research Articles

Association Between Trajectory of Socioeconomic Position and Regional Brain Volumes Related to Dementia: Results From the NEIGE Study.

Low socioeconomic position (SEP) has been linked to an increased risk of dementia. However, little is known about the association between SEP trajectory and regional brain volumes related to dementia. A random sample of community-dwelling older adults (n = 428, age = 73.1±5.5) living in Tokamachi City (Niigata Prefecture, Japan) without medical histories of dementia, Parkinson's disease, and depression who underwent automated assessment of brain volumes on magnetic resonance imaging and responded to a self-administered questionnaire survey in 2017. We measured SEP in childhood (household SEP at age 15), young adulthood (education), mid-adulthood (the longest occupation), and late adulthood (current wealth), and further performed group-based trajectory analysis to identify lifetime trajectory patterns on SEP. Multivariate regression models were employed to investigate the association between SEP trajectories and 4 regional brain volumes related to the development of Alzheimer's disease (ie, entorhinal cortex, hippocampus, amygdala, and the parahippocampus), the most common type of dementia. We found 3 distinct SEP trajectories (stable middle class [68%], downward [23%], and upward [9%]). Compared to those who experienced stable middle class, older adults who experienced the upward SEP mobility had significantly larger hippocampus (β: 213.2, 95% confidence interval: 14.7, 411.8). On the other hand, older adults who experienced downward SEP mobility showed no significant differences in any of the 4 brain structural volumes. Our findings indicate that upward life-course SEP mobility is associated with larger volumes of hippocampus in old age. SEP trajectory may offer us a useful lens to enhance our understanding of the etiology of dementia.

Early life socioeconomic position contributes to adult obesity independent of adult socioeconomic factors: Findings from The Sister Study cohort

Low socioeconomic position (SEP) has been associated with obesity within life stages; however, life course SEP may also alter downstream obesity risk. Research is needed to understand the impact of childhood SEP, independent of adult SEP, as well as SEP trajectories over the life course on adult obesity risk. We use data from the Sister Study, a prospective U.S. cohort of women aged 35–74 years (N = 50,884; enrollment: 2003–2009). Relative risks (RR) for adult obesity associated with childhood SEP (latent variable) and five latent life course SEP profiles were estimated in overall and race and ethnicity-stratified log binomial regression models. We estimated the direct effect of childhood SEP on adult obesity and mediation by adult SEP. Lower childhood SEP was associated with greater obesity risk (RR = 1.16, 95% CI: 1.15–1.17). In stratified models, RRs were elevated across groups though lower for Black and Hispanic/Latina participants, despite greater prevalence of obesity among Black participants. The direct effect of childhood SEP on adult obesity persisted in mediation models independent of adult SEP (RR = 1.10, 95% CI: 1.08–1.12) with adult SEP mediating approximately 40% of the total effect of childhood SEP on adult obesity. Furthermore, adult obesity risk was elevated for all life course SEP profiles compared to persistent high advantage. Life course SEP profiles indicating greater advantage in adulthood than childhood were not associated with reduced adult obesity risk among those experiencing less than high advantage in childhood. In conclusion, lower childhood SEP, independent of adult SEP, may be an important risk factor for adult obesity.

Life-course social disparities in body mass index trajectories across adulthood: cohort study evidence from China health and nutrition survey

BackgroundThe social disparities in obesity may originate in early life or in adulthood, and the associations of socioeconomic position (SEP) with obesity could alter over time. It is unclear how lifetime-specific and life-course SEP influence adult obesity development in China.MethodsBased on the China Health and Nutrition Survey (CHNS), three SEP-related indicators, including the father’s occupational position and the participant’s education and occupational position, were obtained. The life-course socioeconomic changes and a cumulative SEP score were established to represent the life-course SEP of the participants in the study. The growth mixture modeling was used to identify BMI trajectories in adulthood. Multinomial logistic regression was adopted to assess the associations between SEP and adult BMI trajectories.ResultsA total of 3,138 participants were included in the study. A positive correlation was found between the paternal occupational position, the participants’ occupational position, education, and obesity in males, whereas an inverse correlation was observed among females. Males who experienced social upward mobility or remained stable high SEP during the follow-up had 2.31 and 2.52-fold risks of progressive obesity compared to those with a stable-low SEP. Among females, stable high SEP in both childhood and adulthood was associated with lower risks of progressive obesity (OR = 0.63, 95% CI: 0.43–0.94). Higher risks of obesity were associated with the life-course cumulative SEP score among males, while the opposite relationship was observed among females.ConclusionsThe associations between life-course SEP and BMI development trajectories differed significantly by gender. Special emphasis should be placed on males experiencing upward and stable high socioeconomic change.

Life Course Socioeconomic Position and Cognitive Aging Trajectories: A Cross-National Cohort Study in China and England.

Cross-national research on cognitive aging inequality has largely concentrated on Western countries. It is unclear whether socioeconomic position (SEP) has similar effects on cognitive decline in emerging economies. We compared the association between life course SEP and cognitive function trajectories between China and England, the largest nation under state socialism and one of the oldest capitalist countries. This cross-cohort study examined participants aged 50 years and older from the China Health and Retirement Longitudinal Study (n = 12,832) and the English Longitudinal Study of aging (n = 8,875). Cognition z-scores were derived using comparable measures of memory and time orientation on 4 occasions. Life course SEP was self-reported by participants at baseline. Seven- to 8-year trajectories of cognition z-scores were estimated using latent growth curve modeling. Country- and gender-specific associations between childhood/adolescent deprivation, education, material wealth, and home ownership were evaluated in relation to model intercept (baseline level) and linear slope (annual rate of change) of cognition. After multivariable adjustment, education was positively associated with the greatest differences in baseline cognition across country and gender. Education was further linked to a slower rate of cognitive decline (z-score units per year); but compared with those with low education, Chinese men (b = 0.032) and women (b = 0.065) with high education had significantly slower declines than English men (b = -0.004) and women (b = 0.010) with high education. Despite substantial between-cohort differences in downstream and upstream determinants of dementia, education provided the greatest benefits to cognitive aging in England but particularly in China.

Determinants and health outcomes of trajectories of social mobility in Australia

ObjectivesTo investigate trajectories in socio-economic position (SEP) and the onset of a range of physical and mental health outcomes and commencement of treatment. MethodsThe Household Income and Labour Dynamics Australia (HILDA) study, a nationally representative prospective cohort study over the period 2001 to 2020 was used to define trajectories of SEP. Trajectories of low, low-middle, upper-middle and high SEP and decreasing (low-middle to upper-middle SEP) or increasing (upper-middle to lower-middle SEP) SEP were identified using k-longitudinal means. Cox-regression was used to assess SEP trajectories and physical (arthritis or osteoporosis, any cancer, asthma, chronic bronchitis or emphysema, Type 1 diabetes, Type 2 diabetes, hypertension or high blood pressure, and coronary heart disease), and mental health (depression or anxiety) outcomes, and treatment commencement. Predictors of SEP trajectories were also investigated using multinomial logistic regression and random forests. ResultsDecreasing SEP had a higher relative risk of new onset illness than increasing SEP for all health outcomes. Increasing SEP had relative risk estimates that were more consistent with upper-middle income groups and decreasing SEP had a relative risk consistent with lower-middle income groups. In contrast, there was no socio-economic gradient in treatment commencement for physical health outcomes, or depression or anxiety, with the exception of arthritis or osteoporosis. ConclusionDecreasing SEP was associated with poor health outcomes, and increasing SEP with better health outcomes. A range of socio-demographic and psychosocial determinants of SEP trajectories were identified to inform policy responses that could modify trajectories of health inequalities in the Australian context.

Association between socioeconomic position trajectories and frailty among elderly people in Taiwan

This study examined the association between socioeconomic position (SEP) trajectories and frailty in the elderly population in Taiwan. We used data from people aged 53 years and over (n = 1284) collected from wave two of the Social Environment and Biomarkers of Aging Study. Frailty was identified using the modified Fried criteria, with the scores combined to use to categorize participants as frail (score = 3-5), prefrail (score = 1 or 2) and robust (score = 0). We applied a group-based person-centered trajectory model to identify four types of SEP trajectories (low-low, 19.2%; high-low 12.5%; low-high, 35.4%; and high-high, 32.9%) to describe the social mobility patterns in the participants' lives from childhood to older age. The mean age of the study population was 65.30 ± 8.94 years, and 47.39% of the participants were women. The prevalence of frailty was 18.39%. The low-low, high-low, low-high, and high-high SEP trajectory groups were represented by 37.92%, 24.93%, 15.43%, and 7.91%, respectively, of the study population. We used multinomial logistic regression models to evaluate the association between SEP and the risk of frailty. Compared with the low-low SEP trajectory group, the high-high SEP trajectory group was significantly associated with a lower prevalence of frail and pre-frail (odds ratios 0.17 and 0.36; 95% confidence interval 0.08–0.34 and 0.21-0.61). Our results suggest that a disadvantaged life-course SEP is associated with increased risks of frailty in older age. Avoiding that unfavourable SEP trajectories over the life course translate into an increased probability of frailty is key to reducing health inequalities in elderly populations.

Latent class trajectories of socioeconomic position over four time points and mortality: the Uppsala Birth Cohort Study.

BackgroundThe study assessed socioeconomic position (SEP) over four time points and employed a latent class analysis (LCA) to explore the associations between longitudinal SEP trajectories and late-life mortality.MethodsWe analyzed a cohort of 11 336 members born at the Uppsala University Hospital, Sweden during 1915–29 and followed up for mortality during 1980–2008. SEP was measured at birth, age 10, mid-adulthood and late adulthood. LCA was used to identify SEP trajectories, which were linked to all-cause and cause-specific mortality through Cox proportional hazard regression models.ResultsThe age and birth cohort adjusted hazard ratio (HR) of all-cause mortality among the upwardly mobile from middle vs. stable low SEP was 28% lower in men [HR: 0.72; 95% confidence interval (95% CI): 0.65, 0.81] and 30% lower in women (HR: 0.70; 95% CI: 0.62, 0.78). The corresponding HR of cardiovascular mortality was 30% lower in men (HR: 0.70; 95% CI: 0.60, 0.82) and 31% lower in women (HR: 0.69; 95% CI: 0.58, 0.83). Upward mobility was also associated with decreased HR of mortality from respiratory diseases and injuries among men and from cancer, respiratory diseases, injuries and mental disorders among women. The upwardly mobile were similar to the stable high group in terms of their HRs of mortality from all-causes and cardiovascular, cancer and mental diseases.ConclusionsUpward mobility appeared to be protective of mortality from a wide range of causes. Interventions aiming to prevent deaths can benefit from creating optimal conditions earlier in the life course, letting disadvantaged children maximize their socioeconomic and health potentials.

Trajectories of socio-economic position over four time points and mortality: The role of gender

Abstract Background Studies investigating the effect of social mobility on mortality in Sweden have used socioeconomic position (SEP) at only two time points and traditional methodological approaches. Our recent study has used SEP at four time points, but not employed latent class analyses when investigating the relationship between SEP trajectories and mortality in later life. Methods A cohort of 14,192 live births at Uppsala University Hospital between 1915-1929, of whom 97% were traced through parish records until routine registers became available in the 1960s. 5729 men and 5607 women were alive and living in Sweden in 1980. SEP was measured as social class of the head of household: at birth, in childhood (age 10, +/- five years), in adulthood (age 30-45, in the 1960 Census), and in later life (age 50-65, in the 1980 Census). Latent class analysis was employed to identify social class trajectories and Cox proportional hazard models used to estimate all-cause and cause-specific mortality (data from Causes of Death Register). Results Compared to men and women with stable high SEP trajectories, we found a higher risk of death from circulatory disease among men with stable low (HR 1.56, 95%CI 1.29-1.87), stable middle (HR 1.28, 95%CI 1.06-1.55) and upwardly mobile from low (HR 1.35, 95%CI 1.10-1.66) SEP trajectories, as well as in women with stable low or mobile from low to middle SEP trajectory (HR 1.27, 95%CI 1.02-1.59). SEP trajectories and total mortality showed similar, albeit, weaker associations in both genders. SEP trajectories were gender-specific and associations of SEP trajectories with circulatory disease mortality tended to be weaker in women. Conclusions Men's and women's socioeconomic position during childhood and over the life course affect their risk of late life all-cause mortality, and death from circulatory disease in particular. Improvements in social conditions at early stages of the life course are likely to contribute to reducing mortality at old age. Key messages Men’s and women’s socio-economic position during childhood and over the life course affect their risk of late life all-cause mortality and mortality from circulatory disease in particular. Trajectories of socioeconomic position across life course appear to be related to cause specific and total mortality in a gender specific pattern.

"Tough Times Have Become Good Times": Resilience in Older Adults With a Low Socioeconomic Position.

This qualitative study applied a resilience perspective to socioeconomic inequalities in the functioning of older adults. We aimed to gain insight into how some older adults managed to age successfully despite having a low socioeconomic position (SEP) throughout their lives. Semistructured interviews were conducted with 11 resilient adults over the age of 79 years participating in the Longitudinal Aging Study Amsterdam, the Netherlands. Participants were defined as resilient on the basis of having a low lifetime SEP and favorable trajectories of physical, mental, and social functioning. Grounded Theory coding techniques were applied to identify themes reflecting distinct ways in which participants dealt with what they indicated were the most significant adversities in their lives. The analysis focused on experiences linked to socioeconomic conditions. Six themes reflecting psychological, behavioral, and social factors were derived from the data: drawing support from social contacts; investing in younger generations; taking actions to manage or improve socioeconomic conditions; putting the impact of a low SEP into perspective; persevering; and resigning oneself to adversity. Findings suggest that successful aging despite a low SEP throughout one's lifetime requires considerable psychological and social resources. In addition, resignation and specific manifestations of generativity are identified as new elements of resilience. These findings may help to reduce the stereotyping of older adults with a low SEP, and nuance the heroic image of resilience as something that is primarily attributable to extraordinary individual abilities or efforts.

The association of early life socioeconomic position on breast cancer incidence and mortality: a systematic review.

We conducted a systematic review of the literature relating early life socioeconomic position (SEP) to breast cancer incidence and mortality from a critical period and life-course trajectory perspective. PubMed, EMBASE and Web of Science were searched to identify cohort studies that evaluated the impact of early life SEP indicators on the incidence and/or mortality from breast cancer in adulthood. Nine distinct studies evaluated the relationship between early life SEP and breast cancer between 1990 and 2016. Five reports assessed breast cancer incidence and five assessed breast cancer mortality as outcomes; one study assessed both incidence and mortality. While lower early life SEP was associated with reduced breast cancer incidence and increased breast cancer mortality in the US, studies conducted in Europe were unable to establish a consistent association. We found moderate support for the association between early life SEP and incidence and mortality from breast cancer. The impact of early life SEP on breast cancer incidence and mortality appeared to vary between countries. We urge further investigation of the role of lifelong SEP trajectories in breast cancer outcomes.

Life-Course Socioeconomic Position and Hippocampal Atrophy in a Prospective Cohort of Older Adults.

Low socioeconomic position (SEP) has been linked to an increased risk of dementia and cognitive decline. However, little is known about the association between SEP and morphologic brain changes in older age. This study examines the relationships between indicators of life-course SEP with both hippocampal volume (HcV) and HcV loss in a population-based cohort of 1328 older adults aged 65 to 80 years. Multivariable linear regression models were used to estimate the associations of SEP with baseline HcV and the annual rate of HcV atrophy according to three life-course conceptual models: the sensitive/critical periods model (which explored SEP in specific periods: in childhood [using parental education], early adulthood [based on participants' education], and midlife [based on participants' socioprofessional group]); the accumulation-of-risk model (life-course cumulative SEP), and the social mobility model (life-course SEP trajectories). Participants with lower midlife SEP had smaller HcV (-0.08 cm; 95% confidence interval, -0.15 to -0.01) and 0.17% (95% confidence interval, 0.04%-0.30%) faster hippocampal atrophy than participants with higher midlife SEP. Childhood and early adulthood SEPs were not related to hippocampal measures. The accumulation-of-risk and the social mobility models revealed that the accumulation of socioeconomic disadvantage and declining socioeconomic trajectories were related to faster hippocampal atrophy. In this cohort of older adults, lower socioprofessional attainment in midlife and disadvantageous life-course socioeconomic position were associated with faster hippocampal atrophy, a cerebral change linked to cognitive disorders. Results support the hypothesized links between socioenvironmental exposures related to stress and/or cognitive enrichment and brain/cognitive reserve capacities.

Social trajectory and body image satisfaction in childbearing women.

Advantaged socioeconomic position (SEP) is associated with lower body image satisfaction (BIS) among women. However, motherhood and social trajectory (an individual's path from childhood SEP to adulthood SEP) could change this relationship. We aimed to assess the association between social trajectory and BIS immediately before getting pregnant in primiparous and multiparous mothers of a birth cohort. The birth cohort Generation XXI was assembled after delivery, in Porto, in 2005-2006. This analysis includes 5,470 women. Women's and their parents' education were used as indicators of adulthood and childhood SEP, respectively. Social trajectory was classified as stable-high, upward, stable-low, downward, according to both education variables. BIS was assessed with Stunkard silhouettes immediately after birth as the difference between perceived body size before the index pregnancy and ideal body size. Odds ratios (OR) between social trajectory and BIS were computed using multinomial logistic regression (women satisfied with body image were the outcome reference category), adjusting for age and prepregnancy body mass index. In primiparous women, no association was found between childhood SEP, adulthood SEP or social trajectory and feeling too small or too large regarding their ideal figure. Multiparous women with a downward social trajectory presented a higher likelihood of dissatisfaction [too small: adjusted OR 2.21, 95 % confidence interval (95 % CI) 1.10-4.46; too large: adjusted OR 1.64, 95 % CI 1.07-2.51]. Downward social trajectory was associated with a higher likelihood of dissatisfaction with body image in multiparae, while there was no effect among primiparae.

Lifecourse socioeconomic position and 16 year body mass index trajectories: Differences by race and sex

ObjectiveThe aim of this study is to evaluate the association between lifecourse socioeconomic position (SEP) and changes in body mass index (BMI), and assess disparities in these associations across racial/ethnic groups. MethodsWith longitudinal data from 4 waves of the Americans' Changing Lives Study (1986–2002), we employed mixed-effects modeling to estimate BMI trajectories for 1174 Blacks and 2323 White adults. We also estimated associations between these trajectories and lifecourse SEP variables, including father's education, perceived childhood SEP, own education, income, wealth, and financial security. ResultsBlacks had higher baseline BMIs, and steeper increases in BMI, compared to Whites. Childhood SEP, as measured by high father's education, was associated with lower baseline BMI among Whites. High education was associated with a lower baseline BMI within both race and sex categories. Income had contrasting effects among men and women. Higher income was associated with higher BMI only among males. Associations between indicators of SEP and BMI trajectories were only found for Whites. ConclusionsOur study demonstrates that lifecourse SEP may influence adult BMI differently within different racial and sex groups.

Does life course socio-economic position influence chronic disabling pain in older adults? A general population study

Background: Chronic pain is the leading cause of disability in developed countries. Prevalence is linked with socio-economic position (SEP), but little is known about the influence of SEP on disabling pain over the life course. We have investigated the influence of different life course trajectories of SEP on disabling pain (‘pain interference’) in postal surveys of adults aged ≥50 years sampled from the general population of adults registered with three UK general practices. Methods: Current pain interference was measured using the dichotomized 36-item Short-Form (SF-36) health survey. Three recalled SEP measures (age left school, longest job and current/most recent job) were dichotomized into low SEP (left school at or before minimum school leaving age; reported routine or manual occupations) and high SEP, from which eight life course SEP trajectories were constructed. Associations of (i) eight SEP trajectories and (ii) three individual SEP measures adjusted for each other, with pain interference, adjusted for potential confounders, were calculated using logistic regression. Results: A total of 2533 individuals provided data on all three SEP measures. A consistently low life course SEP trajectory was significantly associated with current pain interference compared with a high trajectory [odds ratio (OR) = 2.76, 95% confidence interval (CI): 2.19–3.47], even after adjustment for age and gender. Further adjustment reduced the association but it remained significant (OR = 2.04; 95% CI: 1.55–2.68). In the model with individual measures, low age left school (OR = 1.45; 95% CI: 1.15–1.82) and manual longest job (OR = 1.47; 95% CI: 1.13–1.91) were independently associated with pain interference. Conclusions: Our results highlight the potential for reducing chronic disabling pain in later life by addressing inequalities in both childhood education and adult occupational opportunities.

P21 Influence of life-course socio-economic position on pain interference in a prospective cohort study of older adults

ObjectivePain that interferes with daily activities is the dominant cause of locomotor disability in older people. The objective of this study was to determine the influence of different trajectories of...

Pathways to obesity in a developing population: The Guangzhou Biobank Cohort Study

'Environmental mismatch' may contribute to obesity in rapidly developing societies, because poor early life conditions could increase the risk of obesity in a subsequently more socio-economically developed environment. In a recently developing population (from southern China) we examined the association of life-course socio-economic position (SEP) with obesity. In a cross-sectional study of 9998 adults from the Guangzhou Biobank Cohort Study (phase 2) examined in 2005-06, we used multivariable linear regression to assess the association of SEP at three life stages (proxied by parental possessions, education and longest held occupation) with obesity [body mass index (BMI) and waist-hip ratio (WHR)] in men and women. There was no evidence that socio-economic position trajectory had supra-additive effects on BMI or WHR. Instead in women, higher SEP at any life stage usually contributed to lower BMI and WHR; e.g. women with higher early adult SEP had lower BMI [-0.45; 95% confidence interval (CI) -0.71 to -0.19) and WHR (-0.02; 95% CI -0.02 to -0.012]. In contrast, in men, higher childhood SEP was associated with higher BMI (0.53; 95% CI 0.18 to 0.88) and WHR (0.01; 95% CI 0.003 to 0.02) as was high late adulthood SEP with BMI (0.36; 95% CI 0.07 to 0.64). This study provides little support for environmental mismatch over the life course increasing obesity in this rapidly transitioning southern Chinese population. However, our findings highlight different effects of the epidemiologic transition in men and women, perhaps with pre-adult exposures as a critical window for sex-specific effects.

SOCIOECONOMIC POSITION, CLUSTERING OF RISK FACTORS, AND THE RISK OF MYOCARDIAL INFARCTION

We read with great interest the article by Kivimaki et al. on socioeconomic position (SEP), clustering of behavioral risk factors, and the risk of coronary heart disease published in the May 2007 issue of the Journal.1 To contribute to the sparse discussion on SEP and risk factor clustering, we propose the use of the wording of between-group clustering to describe the clustering of risk factors in different socioeconomic groups, as seen in Table 1 ▶ of the cited paper, and within-group clustering to describe the clustering of risk factors within a socioeconomic group, taking the group-specific prevalence of risk factors into account, as seen in Table 2 ▶ in that same article. (There may be a possible error in the table: Men, 3–4 rf, low SEP, Exp. No., reads 283, should probably read 213). We acknowledge the large study sample and the clarity of the article. TABLE 1— Risk of Myocardial Infarction by Socioeconomic Position (SEP) and Exposure to Increasing Number of Risk Factors: Stockholm Heart Epidemiology Program, Stockholm, Sweden, 1992–1994 TABLE 2— Age-Adjusted Observed and Expected Prevalence of Exposure to Increasing Number of Risk Factors and Observed-to-Expected Comparison, by Socioeconomic Position (Manual or Nonmanual Worker), in Childhood and Adulthood Among the Male Control Group: Stockholm ... We analyzed trajectories of SEP, clustering of 7 risk factors (diabetes, hypertension, low life control, low social network, obesity, physical inactivity, and smoking) and risk of acute myocardial infarction in the Stockholm Heart Epidemiology Program, a population-based case-control study. Accumulation of SEP over the entire life course, risk factor exposure, and acute myocardial infarction incidence have previously been analyzed in the same data.2 Our results confirm the findings by Kivimaki et al., with a larger risk factor burden on lower SEP trajectories, a greater than expected prevalence of null- and multiex-posed individuals in most trajectories of SEP, and an increased risk of acute myocardial infarction with exposure to an increasing number of risk factors. There was also no systematic socioeconomic difference in risk of acute myocardial infarction in the group unexposed to all 7 risk factors (Tables 1 ▶ and 2 ▶). The larger prevalence of multiexposed individuals among low SEP groups and the larger prevalence of null-exposed individuals in higher SEP trajectories does not seem to be the effect of differential individual clustering among different SEPs, because the within-group clustering is similar in all SEPs. Rather, it seems to be the effect of risk factor accumulation correlated to the socioeconomic career on the group level (i.e., between-group clustering). This is important for future attempts to reveal this part of the etiology of health inequalities, because it leads us to look for determinants of risk factor clustering that are distributed differentially between socioeconomic groups.