- Research article
- Open Access
- Open Peer Review
Childhood school segregation and later life sense of control and physical performance in the African American Health cohort
© Wolinsky et al.; licensee BioMed Central Ltd. 2012
- Received: 29 December 2011
- Accepted: 25 September 2012
- Published: 27 September 2012
The association between childhood school desegregation and later life sense of control and physical performance among African Americans is not clear. We hypothesized that childhood school desegregation adversely affected the sense of control of in later life, and that this reduced sense of control accounts in part for reduced physical performance.
In-home follow-up assessments were completed in 2010 with 582 of the 58–74 year old men and women participating in the on-going African American Health cohort. We used these data to examine the relationship between (a) retrospective self-reports of attending segregated schools during one’s 1st-to-12th grade education and one’s current sense of control, as well as (b) the association between current sense of control and physical performance. Multiple linear regression analysis with propensity score re-weighting was used.
Attending segregated schools for at least half of one’s 1st-to-12th grade education was significantly associated with higher scores on the sense of control. Adjusting for all covariates and potential confounders, those receiving half or more of their 1st-to-12th grade education in segregated schools had sense of control scores that were .886 points higher (p ≤ .01; standardized effect size = .22). Sense of control scores were independently (all p < .01) associated with better systolic blood pressure, grip strength, peak expiratory flow, chair stands, balance tests, and the Short Portable Physical Battery even after adjusting for all covariates and potential confounders. Moreover, sense of control scores either partially or fully mediated the statistically significant beneficial associations between childhood school segregation and physical performance.
Childhood school desegregation was adversely associated with the sense of control of African Americans in later life, and this reduced sense of control appears, in part, to account for their poorer physical performance. The etiologic mechanism through which childhood school segregation at the time that this cohort experienced it improved the sense of control in later life, which subsequently led to better physical performance, has not been identified. We suspect, however, that the pathway involves greater exposure to racial solidarity, same-race students as peer role models and same-race teachers and principals as authority role models, the reduced likelihood of exposure to race-based discrimination or antagonism during their formative early lives, and greater exposure to encouragement and support for academic and life success.
- Gait Speed
- Peak Expiratory Flow
- Black Community
- African American Student
- Balance Test
Personal control [1–5], sometimes referred to as locus of control , sense of control [7, 8], sense of coherence , mastery , or self-efficacy  has played an important role in the study of health and health behaviour [12–17], because:
“…compared to people who feel powerless to control their lives, people with a sense of control know more about health, they are more likely to initiate preventive behaviours like quitting smoking, exercising, or maintaining normal weight, and in consequence, they have better self-rated health, fewer illnesses, and lower rates of mortality” [15; p. 66].
A frequently observed association with personal control involves race . African Americans generally report lower levels of personal control than non-Hispanic Whites or other minorities [15, 19, 20]. In most studies, however, race is simply used as a covariate, with primary attention focused on the effects of age, education, and health. Indeed, only two studies [20, 21] have modelled personal control separately for older non-Hispanic Whites and African Americans. Thus, much remains to be known racial differences in personal control, especially since the dominant view is that personal control becomes relatively stable by early adulthood, with declines commencing after age 50 due to the progressively less favourable ratio of gains to losses in later life [9, 13, 14, 22, 23]. Therefore, any social processes that adversely affected school-aged African American children may have played an important role in the development of their personal control.
Along those lines, Buck  recently argued that desegregation left an ironic legacy for African Americans. He claimed that desegregation:
“…undermined one of the traditional centres of the black community: the school. In the segregated schools, black children had consistently seen other blacks succeeding in the academic world. The authority figures and role models—that is, the teachers and principals—were virtually always black. And the best students in black schools were black as well. That ended with desegregation” [24; pp. 3–4].
Based on Buck’s argument, we hypothesized that the sense of control among African Americans adults who attended segregated schools as children would be higher than that among African American adults who attended desegregated schools. Moreover, given the extensive literature linking the sense of control with better health outcomes, we hypothesized that the higher sense of control among African Americans adults who attended segregated schools as children would be independently associated with better physical performance in later life. Furthermore, we hypothesized that these effects were independent of potential confounders such as those risk factors and covariates traditionally found to be associated with the sense of control (e.g., demographic factors, socioeconomic status, and self-rated health), as well as regional differences in where the childhood schooling occurred, and current racial attitudes and beliefs, and resilience. Finally, we hypothesized that the association between childhood school segregation and physical performance in later life would be partially or fully mediated by the sense of control. Note that while our hypotheses and our evaluation of them flow directly from Buck’s argument, they do not address the etiologic pathways that he postulated.
Essentially, the etiological mechanism that Buck  proposed was that desegregation-induced erosions of traditional “black community” schools may have reduced or eliminated three protective effects for the children who attended them—the crystallization of racial solidarity, the advantage of having same-race students as role models and same-race teachers and principals as authority role models, and not having been discriminated against or antagonized at school on the basis of race [25, 26]. Racial solidarity would have arisen from the collective identification associated with segregated schooling where all of one’s peer models, including the best students, star athletes, and most popular individuals were African American. African American students in segregated schools would also have had more exposure to role models of successful achievement reflected by their African American teachers and principals. And by attending segregated schools, African American students would not have been discriminated against or antagonized at school due to their race. Moreover, they would have been less likely to be discouraged due to any academic failures, and they would be more likely to have received greater levels of support encouraging their success. All of these are well-documented benefits for African Americans attending Historically Black Colleges and Universities (HBCUs) [27–29].
Buck’s  argument also resonates with Allport’s contact hypothesis  for optimizing intergroup relations, which provides a conceptual backdrop for understanding why U.S. school desegregation did not equate with integration [31, 32]. That is, subsequent to the 1954 Brown v Board of Education U.S. Supreme Court ruling, a cascade of federal policies were implemented that were designed to better integrate African Americans into American society. Essentially, those policies assumed that desegregation would provide equal access to quality education, which had long been considered the springboard for achieving the American dream. As Pettigrew  noted, however, for desegregated schooling to achieve these goals, the four conditions necessary for the contact hypothesis—“equal group status within the situation, common goals, intergroup cooperation, and authority support”—were not met. Thus, while schools were legally desegregated, African American students were not functionally integrated into their new schools, and not all of the benefits that those schools should have provided African American students were received.
Although a growing number of studies have considered the effects of school segregation on health outcomes for children and young adults [34–38], no studies have focused on this association among older adults. Moreover, in a review of 39 studies on the association between segregation and health outcomes, 38 were found to have relied solely on measures of residential (rather than school) segregation , with the only study using school segregation having combined it into a composite with neighbourhood and church segregation . Nonetheless, several studies have reported protective effects of living in clustered African American neighbourhoods on health outcomes . Thus, the hypotheses for this study were consistent with prior reports, although our hypotheses focused on the independent relationship between school segregation in childhood (as a marker of exposure to the rich benefits of the “black community” school) and the sense of control in later life, and the sense of control in later life and physical performance with these constructs being measured at the individual rather than the community level. Measuring school segregation at the individual level enhances the validity of correct exposure classification by focusing on whether each study participant actually attended segregated schools rather than merely lived in an area where segregated schools were available within the community. Moreover, school segregation and residential segregation are rather different phenomena that would not necessarily have the same effects [39–41].
Cohort selection and sample
We investigated our hypotheses using data on the African American Health (AAH) cohort. The original AAH cohort included 998 African American men and women born in 1936–1950 whose baseline interviews occurred in 2000–2001 [42, 43]. Participants lived in a poor inner-city area of St. Louis, Missouri, or the near northwest suburbs. They have been shown to be more socioeconomically and health disadvantaged than their counterparts in nationally representative studies . Equal numbers of participants were randomly recruited from both areas, but because the inner city had fewer eligible persons, the probability of selection was higher there. Thus, sampling weights were used to adjust for the unequal selection probabilities. Inclusion criteria were self-reported Black or African American race and Mini-Mental Status Exam (MMSE)  scores ≥ 16 (which reflects an established cognitive status threshold for obtaining reliable and valid self-reports). A 76% response rate was obtained for the baseline in-home evaluations. Interim follow-ups were conducted at 1, 2, 3, 4, and 7 years. All data reported here come from the 9-year follow-up in-home evaluations that were conducted in 2010. Of the 998 original participants, 582 (58%) were re-interviewed, representing a 9-year retention rate of 67.8% among known survivors.
The AAH is a particularly well-suited data source with which to investigate our hypotheses for several reasons. First, although two-thirds of the AAH participants received the bulk of their 1st-to-12th grade educations in Missouri, 28.6% completed most of their education in the South, and 5.2% completed their education mostly elsewhere. Thus, although all of the AAH participants resided in St. Louis at the onset of the study, there was sufficient regional variation in where their childhood education was obtained to support an empirical evaluation of regional schooling effects. Second, AAH participants were 3–19 years old when the 1954 Brown v Board of Education U.S. Supreme Court ruling put an end to de jure school segregation, which was well-established not just in Southern States or Border States like Kansas and Missouri, but throughout the U.S. at that time . Third, AAH participants were 11–27 years old in 1962 when President Kennedy issued Executive Order 11063 requiring federal agencies to “take all necessary and appropriate action to prevent segregation,” which was the first explicit federal policy statement against residential segregation, which is well-known to be the underlying cause of widespread de facto school segregation . Fourth, AAH participants were 13–29 years old when Title IV of The Civil Rights Act of 1964 authorized the federal government to file school desegregation cases. Finally, many states continue to have extensive de facto segregated schooling. For example, 40% of African American students in Missouri attend schools that are nearly (90% or more) all African American . Thus, the AAH cohort experienced their 1st-to-12th grade education either entirely or in some admixture of desegregated vs. segregated schools in Missouri, the South, or elsewhere, and their children and grandchildren continue to experience substantial de facto segregation.
Potential selection bias
Because 416 of the 998 original participants were not re-interviewed, selection bias of the 2010 data relative to the original 2000–2001 AAH cohort is possible. To adjust for this, propensity score re-weighting methods were used [49–52]. This involved estimating a multivariable logistic regression model of whether or not each of the 998 original AAH participants was re-interviewed in 2010. The fit of that model was acceptable (AUC = .682)  and there was no evidence of heteroscedastic error (Hosmer-Lemeshow p value = .702 ) , indicating that observable selection bias could be addressed using this approach. The inverse of average participation rates within predicted probability quintiles were then used for re-weighting the original sampling weights, with rescaling of the weighted sample size to the actual number of participants interviewed in 2010. All results reported here reflect the propensity score re-weighted data, although analyses that relied on the original sampling weights reached the same conclusions.
The sense of control
Mirowsky’s 8-item index , developed in a nationally representative sample that included an oversample of African Americans, was used to measure the sense of control. Four statements (“I am responsible for my own successes”, “I can do just about anything I really set my mind to”, “my misfortunes are the result of mistakes I have made”, and “I am responsible for my failures”) reflect claiming control over both good and bad outcomes and are coded - 2, - 1, 0, 1, and 2 for strongly disagree, disagree, don't know, agree, and strongly agree. Four statements (“the really good things that happen to me are mostly luck”, “there's no sense planning a lot — if something good is going to happen, it will”, “most of my problems are due to bad breaks”, and, “I have little control over the bad things that happen to me”) reflect denying control over both good and bad outcomes and are reverse-coded.
Balancing claiming vs. denying control statements for good and for bad events cancels the agreement bias that commonly exists when using Likert-scaled items and improves the validity of the sense of control measure. For both non-Hispanic Whites and African Americans, internal consistency and test-retest reliability are good [13, 55, 56], and confirmatory factor analysis validation is robust . In our main analyses, we used the overall sense of control score which is the sum of the responses to the 8 items, and ranges from maximally denying (−16) to maximally claiming control (+16). In sensitivity analyses to better characterize any observed association between childhood school segregation and the overall sense of control score, we also separately examined its two main components—the sum of the responses to the four items reflecting claiming control, and the sum of the responses to the four items reflecting denying control.
Childhood school segregation
Childhood school segregation was based on retrospective self-reported perceptions about attending segregated schools in response to two questions. Participants were first asked “Did you attend any racially segregated schools during the first through twelfth grades?” Participants responding “yes” were then asked how many years and for which particular grades this occurred. The percentage of one’s 1st-to-12th grade education that occurred in segregated schools was calculated by normalizing the reported number of years of segregated schooling to the total reported number of years of schooling. For example, if an AAH participant reported having 10 years of schooling with 8 of these being in segregated schools, then that individual’s percentage of segregated schooling would be 80%. If, however, an AAH participant reported having 18 years of schooling with 8 of these being in segregated schools, then that individual’s percentage of segregated schooling would be 67%. Based on the observed distribution, these percentages were transformed into two dummy variables reflecting having been in segregated schools for 50% or more of one’s 1st-to-12th grade education, or for 1-49%, vs. none (the reference category).
We readily acknowledge that this measure of childhood school segregation reflects retrospective self-perceptions of segregated schooling and the perceived extent of that exposure. As such it has limitations. It is not an objective, independent assessment of school segregation, nor can it be because information on the particular schools that each AAH participant attended was not obtained. This measure of childhood school segregation also does not differentiate between de jure vs. de facto segregation. Based on the widespread residential segregation in the 1930s-1960s  and the prevailing neighbourhood schools approach , de facto segregated schooling was common, while de jure segregation was less common and concentrated primarily in the Southern States and in the Border States. These limitations, however, bias the results toward the null, suggesting that any observed associations are likely to have been underestimated.
Region of schooling
While the dominant approach to education at the time was based on neighbourhood schooling , regional variations in school quality were known to exist. In particular, the quality of schooling, especially for African Americans, in the South has been widely viewed as having lower quality. Therefore, to separate regional from segregated schooling effects, two questions were asked of AAH participants. One was “In what State or States did you go to grade school,” while the other targeted “high school”. Participants were allowed to specify up to five States, and based on the observed response patterns two dummy variables were created. These reflect receiving most of one’s 1st-to-12th grade education in the South (Alabama, Arkansas, Florida, Georgia, Kentucky, Louisiana, Mississippi, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, and Virginia, based on the U.S. Census classification system) vs. in Missouri (the reference group) vs. elsewhere.
Traditional covariates and potential confounders
Our hypotheses specify (a) independent associations between childhood school segregation and the sense of control in later life, (b) independent associations between the sense of control and physical performance in later life, and (c) that the sense of control partially or fully mediates the beneficial associations between childhood school segregation and physical performance in later life. Therefore, it is essential that traditional predictors of the sense of control be included as covariates, and that potential confounders (such as racial attitudes and beliefs, and resilience) be included as well, even at the risk of over-adjustment. While including all these covariates and potential confounders might result in over-adjustment, this is a conservative error that results in the most rigorous evaluation of whether childhood school segregation is independently associated with the sense of control in later life, and whether the sense of control in later life is independently associated with physical performance.
At a minimum, there is general agreement that analyses examining the sense of control should include age, gender, marital status, educational attainment, employment status, income, and health, because these are known to be among the principal drivers of the sense of control [13, 19, 58]. Age was measured in years. Gender was coded as a binary contrast for men vs. women. Marital status was measured using a set of dummy variables reflecting never being married, being widowed, or being divorced or separated vs. being married (reference group). To minimize multicollinearity with the childhood segregated schooling indicators, educational attainment was used in the analysis as an ordered trichotomy reflecting (1) grade school, (2) high school, and (3) college. Employment status was measured using dummy variables for working for pay or being disabled vs. being retired (reference category). Income was measured using an unfolding bracketing approach, and given the observed distribution income was categorized as a binary indicator for household incomes of $25,000 or less vs. more. The traditional self-rated health question (Would you say your health is excellent, very good, good, fair, or poor?) was used to measure perceived health, and was coded from 1–5 for poor to excellent responses.
Racial attitudes and beliefs
Racial consciousness was measured using one item from the U.S. Behavioural Risk Factor Surveillance System . It asked “How often do you think about your race? Would you say never, once a year, once a month, once a week, every day, every hour, or constantly?” Based on the response distribution, a binary indicator contrasting responses of “constantly” with all others was constructed.
To tap participants’ beliefs of being responsible for the well-being of the African American community, they were asked whether they strongly disagreed, disagreed, agreed, or strongly agreed (coded 1–4) with the statement: “It is my responsibility to help move the Black community forward.” Perceived discrimination was measured using Williams’ scale  (alpha = 0.82) asking participants to indicate how often (1 = never, 2 = rarely, 3 = sometimes, 4 = often) in their daily life nine things had happened to them. The nine things were (a) being treated with less courtesy or (b) respect than other people, (c) receiving poorer service in restaurants or (d) stores, (e) having people act as if you are not smart, (f) better than, or (g) afraid of you, (h) having people think you are dishonest, or (i) having people call you names. Scale scores ranged from 9 (no perceived discrimination) to 36 (maximal perceived discrimination).
To parse out the potential overlap between resilience and the sense of control, the 10-item version  of the Conner-Davidson  resilience scale that was developed and validated in large samples of non-Hispanic White and African American participants (alpha = 0.88) was used. Participants responded to ten statements as (1) not true at all, (2) rarely true, (3) sometimes true, (4) often true, or (5) true nearly all of the time. The ten statements reflected the ability to adapt to change, to deal with whatever comes, to see the humorous side of problems, to recognize that coping with stress can strengthen me, to bounce back after an illness or hardship, achieve goals despite obstacles, stay focused under pressure, not be easily discouraged by failure, handle unpleasant feelings, and to think of myself as a strong person. The scale score ranged from minimal (10) to maximal (50) resilience.
Physical performance assessments
Although a number of self-reported measures of physical abilities are available in the AAH (indeed, in predicting the sense of control we adjusted for perceived health using the traditional self-rated health question), we focused on physical performance assessments. The reason for this was that the association between the sense of control and self-reported measures of physical abilities would be viewed as “weaker” evidence of the underlying relationship because both are self-reports and perceptions. Therefore, associations between the sense of control and physical performance assessments using standard epidemiologic field methods and well-established data collection protocols represent “stronger” evidence that is less likely to result from methodological artefacts.
Eight standard physical performance tests used in the AAH from its inception, all of which have demonstrated test-retest reliability as well as validity , were selected—systolic and diastolic blood pressure, grip strength, peak expiratory flow, gait speed, chair stands, balance tests, and the Short Portable Physical Battery (SPPB) [64, 65]. Systolic and diastolic blood pressures (mm/hg) were the average of two trials spaced five minutes apart using electronic sphygmomanometers with participants seated in chair with both feet on the ground, and their left arm properly supported. After three sub-maximal familiarization trials, grip strength (kg) was the average of three trials using a handhold dynamometer while seated with both feet on the floor and the forearm and upper arm at a 90 degree angle. Peak expiratory flow (ml) was the average of three trials using a standard handheld flow meter. Gait speed (m/s) was the average of two trials using either a 3- or 4-meter course (based on interior space and clutter constraints in the participants’ homes), and was categorized as 0 for unable to perform, and 1–4 for the approximate quartiles of those performing the test . Chair stands (with arms crossed over the chest) were measured in seconds from the initial sitting position to the top of the fifth rise, and were categorized as 0 for unable to perform and 1–4 for the approximate quartiles of those performing the test . Balance was measured in the number of seconds (up to a maximum of 30) that the side-by-side, semi-tandem, and tandem stands were held, and was categorized as 0 for unable to perform any of these tests, and 1–4 for the approximate quartiles of those performing the test using the scoring method of Guralnik et al. [64, 65]. The SPPB was the sum of the categorized scores on the gait speed, chair stands, and balance tests, and ranges from 0 (unable to perform any of these three tests) to a maximum of 12, with lower scores (especially those below 9) indicative of increased risk of future mobility impairment, poorer prognosis and recovery from newly diagnosed disease, and death [64–69].
Linear regression was used to examine the crude association of childhood school segregation with the sense of control in later life. Each covariate block was then serially introduced, adjusting for the region where one’s 1st-to-12th grade education occurred, the traditional covariates and potential confounders, racial attitudes and beliefs, and resilience. Linear regression with the same serial decomposition approach was also used to examine the crude and adjusted associations of the sense of control in later life with physical performance. Finally, to evaluate whether the sense of control in adult life partially or fully mediated the crude association between childhood school segregation and physical performance in later life, linear regression was again used to examine the crude association, and whether it was altered by adjustment for the sense of control.
Human subject approvals
The research reported here was supported by a U.S. National Institutes of Health (NIH) grant (R01 AG010436) to Dr Miller. The human subject protocol for this U.S. NIH grant was fully approved by Institutional Review Boards (IRBs) at Saint Louis University, the University of Iowa, Indiana University, Washington University, and the Oregon Health & Science University. Written informed consent was obtained from all participants at baseline, and at the 9-year follow-up interviews from which all of the data used here were taken.
Percentages or means and standard deviations of the variables at the 9-year follow-up of the African American Health cohort in 2010 (N = 582 unless otherwise noted) 1
≥ 50% of Grades 1-12
1-49% of Grades 1-12
No Segregated Schooling of Grades 1-12
Regional Schooling Effects
Majority of Schooling Occurred in the …
Demographics, Socioeconomic Status, and Health Status
Age (in years, 58–74)
Men (vs. women)
Divorced or Separated
Working for Pay
Annual Household Income < $25 K
Self-Rated Health (1 = poor, …, 5 = excellent)
Racial Consciousness, African American Community Responsibility, and Perceived Discrimination
Constantly Thinks About One’s Race (1 = yes, 0 = no)
Responsible to Move the African American Community Forward (1 = strongly disagree, …, 4 = strongly agree)
Perceived Discrimination (9 = lowest, …, 36 = highest)
Resilience (5 = lowest, …, 50 = highest)
Sense of Control Scale (−16 = lowest, …, 16 = highest)
Systolic Blood Pressure (mm/hg; N = 511)
Diastolic Blood Pressure (mm/hg; N = 512)
Grip Strength (kg; N = 493)
Peak Expiratory Flow (ml; N = 442)
Gait Speed (0 = lowest, …, 5 = highest; N = 462)
Chair Stands (0 = lowest, …, 5 = highest; N = 462)
Balance Tests (0 = lowest, …, 5 = highest; N = 491)
Short Portable Physical Battery (0 = lowest, …, 12 = highest; N = 462)
Distributions for the dependent variables were generally symmetrical, although modestly leptokurtic. The mean sense of control score was 4.2, consistent with national reports [7, 8, 15] and prior studies of disadvantaged and health challenged non-Hispanic Whites and African Americans in St. Louis and Indianapolis (Indiana) [55, 56]. Average systolic (134.5 mm/hg) and diastolic (76.8 mm/hg) blood pressures were high. Grip strength (mean = 32.0 kg) and peak expiratory flow (mean = 375.5 ml) were about average. Mean gait speed, chair stands, and balance test categories were 2.4, 2.2, and 3.2, respectively. The average score on the SPPB was low (7.9), with 47.9% having scores (< 9) indicative of high risk for future adverse events.
Multiple linear regression of the sense of control
Unstandardized linear regression ( b ) coefficients obtained from predicting the sense of control (−16 to +16) at the 9-year follow-up in the African American Health cohort, N = 582
≥ 50% of Grades 1-12
1-49% of Grades 1-12
No Segregated Schooling in Grades 1-12 (reference category)
Regional Schooling Effects
Majority of Schooling Occurred in the …
Missouri (reference category)
Demographics, Socioeconomic Status, and Health Status
Age (in years, 58–74)
Men (vs. women)
Divorced or Separated
Married (reference category)
Educational Attainment (1 = grade school, 2 = high school, 3 = college)
Working for Pay
Retired (reference category)
Annual Household Income < $25 K
Self-Rated Health (1 = poor, …, 5 = excellent)
Racial Consciousness, Community Responsibility, and Perceived Discrimination
Constantly Thinks About One’s Race (1 = yes, 0 = no)
Responsible to Move the African American Community Forward (1 = strongly disagree, …, 5 = strongly agree)
Perceived Discrimination (9 = highest, …, 36 = lowest)
Resilience (5 = lowest, …, 50 = highest)
Sensitivity analyses of the sense of control
Sensitivity analyses were conducted to better characterize the observed association between childhood school segregation and the overall sense of control score. Specifically, the two main components of the sense of control score—the sum of the responses to the four claiming control items, and the sum of the responses to the four denying control items—were examined using the same serial decomposition approach reflected in Table 2. Those results (not shown) indicate that the effect of childhood school segregation on the sense of control in later life is almost entirely derived from increased disagreement (and therefore greater sense of control) with the four items reflecting denying control. That is, the unstandardized regression coefficient (b) for having attended segregated schools for at least half of one’s 1st-to-12th grade education obtained using the fifth (final) model was .867 (p = .003) for the denying control component scale, while its effect on the claiming control component scale was virtually nil (b = .020, p = .932).
Multiple linear regression of physical performance
Unstandardized linear regression ( b ) coefficients for the sense of control obtained from predicting the physical performance measures at the 9-year follow-up in the African American Health cohort
Physical Performance Measures
Systolic Blood Pressure (mm/hg)1
Diastolic Blood Pressure (mm/hg)1
Grip Strength (kg)2
Peak Expiratory Flow (ml)3
Gait Speed (0 to 5)4
Chair Stands (0 to 5)4
Balance Tests (0 to 5)4
Short Portable Physical Battery (0–12)5
When the eight later life physical performance measures were regressed on the childhood segregation indicators, statistically significant beneficial associations were observed with peak expiratory flow, gait speed, the balance tests, and the SPPB. In addition, beneficial associations trending towards statistical significance were observed with grip strength and chair stands. Adjustment for the sense of control fully mediated the significant associations with gait speed and the SPPB, partially mediated the significant associations with peak expiratory flow and the balance tests, and eliminated the trend towards significance with grip strength and chair stands.
This study was driven by four hypotheses, all of which were logical extensions of Buck’s  work on the unintended consequences of desegregation leading to the erosion of the traditional “black community” school. The first hypothesis was that African Americans who attended segregated schools for their 1st-to-12th grade education would have higher sense of control scores [13, 54–57] (i.e., more claiming and less denying responsibility for both the good and bad things) in later life. The second hypothesis was that higher sense of control scores in later life would be related to better physical performance. The third hypothesis was that the effects of childhood school segregation on the sense of control in later life, and the effects of the sense of control on physical performance would hold even after adjustment for all of the traditional covariates and potential confounders, racial attitudes and beliefs, and resilience. The fourth hypothesis was that the beneficial association between childhood school segregation and physical performance in later life would be partially or fully mediated by the sense of control. Sense of control [13, 54–57], school segregation, the traditional covariates and potential confounders [13, 19, 58], racial attitudes and beliefs [59, 60], resilience , and physical performance [42, 63–69] were all measured at the 2010 in-home follow-up for 582 of the 998 original AAH participants. Propensity score re-weighting methods [49–52] were used to adjust for potential attrition bias.
In terms of the first and third hypotheses, we found that the unadjusted effect of having attended segregated schools for at least half of one’s 1st-to-12th grade education led to scores on the sense of control that were .990 points higher (p < .01, standardized effect size = .25) than those who did not attend segregated schools, indicating more claiming rather than denying control over both the good and bad outcomes in life. This significant association held even after adjusting for all of the traditional covariates and potential confounders [13, 19, 58], racial attitudes and beliefs [59, 60], and resilience . In the final model, African Americans who had received half or more of their 1st-to-12th grade education in segregated schools had sense of control scores that were .886 points higher (p ≤ .01) than those who did not attend segregated schools, representing a standardized effect size of .22.
Sensitivity analyses that looked at the effects of childhood segregated schooling on each of the four-item component scores [13, 55–57] of the sense of control—one reflecting claiming control and the other reflecting denying control—led to a better characterization of the observed association. Those results showed that the effect of childhood school segregation on the sense of control in later life was almost entirely derived from increased disagreement with the four items reflecting denying control (and therefore reflective of having a greater sense of control). Indeed, the unstandardized regression coefficient (b) for having attended segregated schools for at least half of one’s 1st-to-12th grade education obtained from the fifth (final) model was .867 (p = .003) for the denying control component, which was almost as large as the effect on the overall sense control scale (where b = .886, p < .01). In contrast, there was no effect of segregated schooling on the claiming control component (b = .020, p = .932).
Recent work by Kraus et al.  provides insight into why denying control may have been most affected by childhood school segregation. Building on classic social science theory about why social class plays such a pervasive role in everyday life, they present a social cognitive theory as the underlying process by which social class creates clear cultural differences between the rich and the poor. The core of Kraus et al.’s argument is that:
"“…social class contexts elicit reliable social cognitive patterns among lower-class individuals—characterized by a contextual, externally-oriented cognitive and relational orientation to the world—and upper-class individuals—characterized by a solipsistic, individualistic cognitive and relational orientation to the world.” (p. 546)"
Although the contrast between the poor and the rich is not directly relevant here, the notion of how that contrast leads to the development of differential life orientations and outlooks is. Kraus et al. argue that:
"“Diminished resources and lower rank create contexts that constrain social outcomes for lower-class individuals and enhance contextualist tendencies—that is, a focus on external, uncontrollable social forces and other individuals who influence one's life outcomes.” (p. 546)"
African American children attending desegregated schools would have faced diminished educational resources and discrimination based on their ascribed racial status, and this may have led to their greater focus on and acceptance of external, uncontrollable forces in their lives. Thus, Kraus et al.’s explanation is entirely consistent with and provides the context for our findings. Indeed, if one were to substitute “childhood desegregated schooling” for “lower social class” and “childhood segregated schooling” for “upper social class” in their second and fifth hypotheses, our results would be exactly what they predicted.
Furthermore, our results are also consistent with, but clearly do not demonstrate Buck’s  main argument concerning the major unintended consequence of desegregation—the erosion of the traditional “black community” school. Buck argued that the erosion of the traditional “black community” school may have led to a gradual but significant cultural shift for subsequent generations of African Americans attending desegregated schools. Building on his argument, we hypothesized that this may specifically have led African Americans attending desegregated schools to be more likely to deny having any control over either the good or bad things happening in their lives. Buck also argued that over time, such cultural shifts may also have led to the emergence in the “black community” of the sentiment that African Americans with a stronger sense of responsibility for both the good and bad things occurring in their lives were “acting white.”
In terms of the second and third hypotheses, we found significant unadjusted associations between sense of control [13, 55–57] scores and seven of the eight physical performance tests [38, 63–69]. Higher scores on the sense of control were associated with significantly lower systolic blood pressure, and with significantly better grip strength, peak expiratory flow, gait speed, chair stands, balance tests, and the SPPB (all p < .001). Furthermore, adjustment for the two childhood school segregation measures, the traditional covariates and potential confounders [13, 19, 58], racial attitudes and beliefs [55, 56], and resilience , did not appreciably alter the beneficial independent effects of the sense of control scores on systolic blood pressure, grip strength, peak expiratory flow, chair stands, balance tests, and the SPPB. While these effects are modest, they are important. Indeed, they indicate that a difference of just four points on the sense of control score would be associated with a one-point improvement on the SPPB, which would be enough to move the average AAH participant (mean = 7.9) above the cut-off for increased risk of future mobility impairment, poorer prognosis and recovery from newly diagnosed disease, and death [64–69].
In terms of the fourth hypothesis, we found statistically significant beneficial crude associations between childhood school segregation and physical performance for peak expiratory flow, gait speed, the balance tests, and the SPPB. The associations with peak expiratory flow and the balance tests were partially mediated by adjusting for the sense of control, and the associations with gait speed and the SPPB were fully mediated by adjusting for the sense of control. Thus, it would appear that childhood school segregation affected the sense of control in adult life, which resulted in better physical performance, suggesting that the sense of control plays an intervening variable role in the underlying causal sequence.
Although no other studies have focused on the association of segregated schooling and the sense of control [13, 55–57] among older adults, recent rigorous studies of the effects that school segregation has on health outcomes for children and younger adults provide context and support for the results reported here [25–29]. In particular, data from the National Longitudinal Study of Adolescent Health (NLSAH) found that risky health behaviours such as smoking and drinking were lower for African American women in more segregated schools than for Non-Hispanic White women . The two explanations given for this finding were that (a) because Non-Hispanic Whites had higher smoking and drinking rates, African American women in segregated schools may have been protected by the absence of cross-race friendships, and that (b) African American women in segregated schools may have engaged in other resiliency strategies . Similarly protective functions associated with segregated schooling were found when the NLSAH was used to study depressive symptoms, which led the same authors to conclude that “attending predominantly-minority schools may buffer African American students from discrimination and increase their school attachment, which may reduce their risk of experiencing depressive and somatic symptoms” [35; p. 1873]. These explanations are consistent with the etiologic mechanism proposed by Buck  that drove our hypotheses extending his argument. It is important to note, however, that the NLSAH and the AAH reflect rather distinct cohorts of African Americans that lived through quite different historical and cultural periods in the United States, and are at rather different stages in the life course. Nonetheless, building on life course theory , both studies focus on the accumulative advantage  of segregated schooling for African Americans, at least in terms of less risky health behaviours and fewer depressive symptoms (in the NLSAH), and stronger sense of control and better physical performance (in the AAH).
It is important to note that this study is not without limitations. Three of these are most salient. The first involves the geographic generalizability of these associations beyond St. Louis, Missouri, and the extent to which these associations may be time-bound to the AAH cohort (born in 1936–1950). Therefore, further research on desegregation consequences from other communities and regions, as well as from other birth cohorts at different life stages is needed and should be encouraged. The second limitation is that the sense of control [13, 55–57], school segregation, traditional covariates and potential confounders [13, 19, 58], racial attitudes and beliefs [59, 60], resilience , and physical performance [42, 63–69] were all measured at the 2010 in-home follow-up assessment. That makes ours a cross-sectional study in which we can only demonstrate associative relationships rather than causal effects. The third limitation is that our focal measures were retrospective self-perceptions of segregated schooling and the perceived extent of that exposure. As such, they are not objective, independent assessments of school segregation, and are subject to traditional retrospective reporting biases.
In conclusion, we have shown that African Americans who attended segregated schools as children for at least half of their 1st-to-12th grade educations were significantly more likely to claim rather than deny control over both the good and bad outcomes in their later lives, when compared to their counterparts who did not attend segregated schools as children. Moreover, higher sense of control scores in later life were associated with significantly lower systolic blood pressure, and with significantly better grip strength, peak expiratory flow, gait speed, chair stands, balance tests, and the SPPB in later life. While the etiologic mechanism proposed by Buck  could not be evaluated in these data, our results are consistent with the essence of his argument.
That said, under no circumstances should our results be misconstrued as either evidence for or an argument that desegregation was bad social policy. Rather, our results suggest that (a) while desegregation may be a necessary condition for integration, it is not a sufficient condition, and (b) desegregation may have had an unfortunate, unintended consequence that led to lower sense of control in later life, with that lower sense of control associated with poorer physical performance. Assuming that our results are replicated in analyses from other studies, they have important policy and public health implications. To overcome these unfortunate side effects of desegregated schooling, greater emphasis may need to be placed on helping today’s desegregated schools (a) develop more and better same-race peer and authority role models for African American students, (b) emphasize that successful achievement avenues are not only possible but readily available, (c) minimize racial discrimination, and (d) promote cultural solidarity. Although achieving these goals will be difficult, the vibrancy of our society and civilization makes finding ways to accomplish them essential.
This study was supported by U.S. NIH grant R01 AG-010436 to DKM. The U.S. NIH did not participate in the design or conduct of the study or in manuscript preparation. The opinions expressed here are those of the authors and do not necessarily reflect those of the U.S. NIH, or the several academic institutions involved. Address all correspondence to Fredric D Wolinsky, the John W Colloton Chair of Health Management and Policy, the University of Iowa, 105 North River Street, Suite N-211, Iowa City, Iowa 52242. Phone: 319.384.3821. Internet: email@example.com
- Rodin J: Aging and health: effects of the sense of control. Science. 1986, 233: 1271-1276. 10.1126/science.3749877.View ArticlePubMedGoogle Scholar
- Rodin J: Personal control through the life course. Life space perspectives and social psychology. Edited by: Abeles RP. 1987, Hillsdale, NJ: Erlbaum, 103-119.Google Scholar
- Rodin J: Control by any other name: definitions, concepts, and processes. Self-directedness: cause and effects throughout the life course. Edited by: Rodin J, Schooler C. 1990, Hillsdale, NJ: Erlbaum, 1-17.Google Scholar
- Rotter JB: Generalized expectancies for internal vs. external control of reinforcements. Psychol Monogr. 1966, 80: 1-28.View ArticlePubMedGoogle Scholar
- Skinner EA: A guide to constructs of control. J Pers Soc Psychol. 1996, 71: 549-570.View ArticlePubMedGoogle Scholar
- Levenson H: Activism and powerful others: distinctions within the concept of internal-external control. J Pers Assess. 1974, 38: 377-383. 10.1080/00223891.1974.10119988.View ArticleGoogle Scholar
- Mirowsky J: Eliminating defense and agreement bias from measures of the sense of control: a 2x2 Index. Social Psychological Quarterly. 1991, 54: 127-145. 10.2307/2786931.View ArticleGoogle Scholar
- Mirowsky J: Age, subjective life expectancy, and the sense of control: the horizon hypothesis. Journal of Gerontology: Psychological Sciences & Social Sciences. 1997, 52B: 125-S134. 10.1093/geronb/52B.3.S125.View ArticleGoogle Scholar
- Antonovsky A: Health, stress, and coping. 1979, San Francisco: Jossey-BassGoogle Scholar
- Pearlin LI, Menaghan EG, Lieberman MA, Mullan JT: The stress process. J Health Soc Behav. 1981, 22: 337-356. 10.2307/2136676.View ArticlePubMedGoogle Scholar
- Bandura A: Social foundations of thought and action. 1986, Englewood Cliffs, NJ: Prentice-HallGoogle Scholar
- Krause N, Shaw BA: Role-specific control, personal meaning, and health in late life. Res Aging. 2003, 25: 559-586. 10.1177/0164027503256695.View ArticleGoogle Scholar
- Lachman ME: Perceived control over aging-related declines. Current Directions in Psychological Science. 2006, 15: 282-286. 10.1111/j.1467-8721.2006.00453.x.View ArticleGoogle Scholar
- Lachman ME, Neupert SD, Agrigoroaei S: The relevance of control beliefs for health and aging. Handbook of the Psychology of Aging. Edited by: Schaie KW, Willis SL. 2011, San Diego, CA: Academic, 175-190. 7View ArticleGoogle Scholar
- Mirowsky J, Ross CE: Education, social status, and health. 2003, New York, NY: Aldine de GruyterGoogle Scholar
- Rodin J, Timko C: Sense of control, aging, and health. Aging, health, and behaviour. Edited by: Ory MG, Abeles RP. 1991, Thousand Oaks, CA: Sage, 174-206.Google Scholar
- Schulz R, Heckhausen J: Aging, culture, and control: setting a new research agenda. Journal of Gerontology: Psychological Science & Social Science. 1999, 54B: P139-P145. 10.1093/geronb/54B.3.P139.View ArticleGoogle Scholar
- Rowe JW, Kahn RL: Successful aging. 1998, New York: PlenumGoogle Scholar
- Ross CE, Sastry J: The sense of personal control: social-structural causes and emotional consequences. Handbook of the sociology of mental health. Edited by: Aneshensel CS, Phelan JC. 1999, New York: Plenum, 369-395.Google Scholar
- Jang Y, Borenstein-Graves A, Haley WE, Small BJ, Mortimer JA: Determinants of a sense of mastery in African American and White older adults. Journal of Gerontology: Psychological Science & Social Science. 2003, 58B: S221-S224.View ArticleGoogle Scholar
- Shaw BA, Krause N: Exploring race variations in aging and personal control. Journal of Gerontology: Psychological Science & Social Science. 2001, 56B: S119-S124.View ArticleGoogle Scholar
- Baltes PB, Smith J: Multilevel and systemic analysis of old age: theoretical and empirical evidence for a fourth age. Handbook of theories of aging. Edited by: Bengston VL, Schaie KW. 1999, New York: Springer, 153-173.Google Scholar
- Baltes PB, Smith J: New frontiers in the future of aging: from successful aging of the young old to the dilemmas of the fourth age. Gerontology. 2003, 49: 123-135. 10.1159/000067946.View ArticlePubMedGoogle Scholar
- Buck S: Acting white: the ironic legacy of desegregation. 2010, New Haven, CN: Yale University PressGoogle Scholar
- Marx AW: Making race and nation: a comparison of the United States, South Africa, and Brazil. 1998, New York, NY: Cambridge University PressGoogle Scholar
- Shelby T: Foundations of Black solidarity: collective identity or common oppression. Ethics. 2002, 112: 231-266. 10.1086/340276.View ArticleGoogle Scholar
- Allen WR: The color of success: African-American college student outcomes at predominately White and Historically Black Colleges and Universities. Harvard Educational Review. 1992, 62: 26-44.View ArticleGoogle Scholar
- Drewry HN, Doermann H: Stand and prosper: private black colleges and their students. 2001, Princeton, NJ: Princeton University PressGoogle Scholar
- How black colleges empower black students: lessons for higher education. Edited by: Hale FW. 2006, Sterling, VA: Stylus PublishingGoogle Scholar
- Allport GW: The nature of prejudice. 1954, Reading, MA: Addison-WesleyGoogle Scholar
- Pettigrew TF: Racially separate or together?. 1971, New York, NY: McGraw-HillGoogle Scholar
- Pettigrew TF: Racial discrimination in the United States. Edited by: Pettigrew TF. 1975, New York, NY: Harper and Row, The racial integration of the schools, Pettigrew TF,Google Scholar
- Pettigrew TF: Intergroup contact theory. Annu Rev Psychol. 1998, 49: 65-85. 10.1146/annurev.psych.49.1.65.View ArticlePubMedGoogle Scholar
- Walsemann KM, Bell BA: Integrated schools, segregated curriculum: within-school segregation effects on adolescent health behaviors and educational aspirations. Am J Public Health. 2010, 100: 1687-1695. 10.2105/AJPH.2009.179424.View ArticlePubMedPubMed CentralGoogle Scholar
- Walsemann KM, Bell BA, Maitra D: The intersection of school racial composition and student race/ethnicity on adolescent depressive and somatic symptoms. Soc Sci Med. 2011, 72: 1873-1888. 10.1016/j.socscimed.2011.03.033.View ArticlePubMedGoogle Scholar
- Walsemann KM, Gee GC, Geronimus AT: Ethnic differences in trajectories of depressive symptoms: disadvantage in family background, high school experiences, and adult characteristics. J Health Soc Behav. 2009, 50: 82-98. 10.1177/002214650905000106.View ArticlePubMedPubMed CentralGoogle Scholar
- Long-run impacts of schooldesegregation and school qualityon adult health. Edited by: Rucker RC. 2011, Working paper, Goldman School of Public Policy, University of California at Berkeley, last accessed June 27, 2011 (http://socrates.berkeley.edu/~ruckerj/manuscripts.html),Google Scholar
- Long-run impacts of schooldesegregation and school qualityon adult attainments. Edited by: Rucker RC. 2011, Working paper, Goldman School of Public Policy, University of California at Berkeley, last accessed June 27, 2011 (http://socrates.berkeley.edu/~ruckerj/manuscripts.html),Google Scholar
- LaVeist TA: Racial segregation and longevity among African Americans: an individual-level analysis. Health Serv Res. 2003, 38: 1719-1733. 10.1111/j.1475-6773.2003.00199.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Kramer MR, Hogue CR: Is segregation bad for your health?. Epidemiological Review. 2009, 31: 178-194. 10.1093/epirev/mxp001.View ArticleGoogle Scholar
- Weinberg M: Race and place: alegal history of theneighbourhood school, DHEW Publication No. OE-38005. 1967, Washington, DC: Department of Health, Education, & WelfareGoogle Scholar
- Miller DK, Wolinsky FD, Andresen EM, Malmstrom TK, Miller JP: Adverse outcomes and correlates of change in the Short Physical Performance Battery (SPPB) over 36 months in the African American Health project. Journal of Gerontology: Biological Science & Medical Science. 2008, 63A: 487-494.Google Scholar
- Wolinsky FD, Malmstrom TK, Miller JP, Andresen EA, Schootman M, Miller DK: Antecedents of global decline in health-related quality of life among middle aged African Americans. Journal of Gerontology: Psychological Science & Social Science. 2009, 64B: 290-295. 10.1093/geronb/gbn014.View ArticleGoogle Scholar
- Miller DK, Wolinsky FD, Malmstrom TK, Andresen EM, Miller JP: Inner city middle aged African Americans have excess frank and subclinical disability. Journal of Gerontology: Biological Science & Medical Science. 2005, 60A: 207-212.Google Scholar
- Folstein MF, Folstein SE, McHugh PR: Mini-Mental State: a practical method for grading the cognitive state of patients for the clinician. J Psychosom Res. 1995, 12: 189-198.View ArticleGoogle Scholar
- Jim Crow Study Group: Still on the books: Jim Crow and segregation laws fifty years after Brown v. Board of Education. 2004, Tucson, AZ: Law, Criminal Justice, & Security Program, University of ArizonaGoogle Scholar
- Massey D, Denton N: American apartheid: segregation and the making of the underclass. 1988, Boston, MA: Harvard University PressGoogle Scholar
- Orfield G, Lee C: Brown at 50: King’s dream or Plessy’s nightmare. 2004, Boston, MA: Civil Rights Project at Harvard UniversityGoogle Scholar
- D’Agostino RB: Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Stat Med. 1998, 7: 2265-2281.View ArticleGoogle Scholar
- Robins JM, Rotnitzky A, Zhao LP: Estimation of regression coefficients when some regressors are not always observed. J Am Stat Assoc. 1994, 89: 846-866. 10.1080/01621459.1994.10476818.View ArticleGoogle Scholar
- Rosenbaum PR, Rubin DB: The central role of the propensity score in observational studies for causal effects. Biometrika. 1983, 70: 41-55. 10.1093/biomet/70.1.41.View ArticleGoogle Scholar
- Rubin DB: Using multivariate matched sampling and regression adjustment to control bias in observational studies. J Am Stat Assoc. 1979, 74: 318-324.Google Scholar
- Hanley JA, McNeil BJ: The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982, 143: 29-36.View ArticlePubMedGoogle Scholar
- Hosmer DW, Lemeshow S: Applied logistic regression. 1989, New York, NY: WileyGoogle Scholar
- Wolinsky FD, Wyrwich KW, Babu AN, Kroenke K, Tierney WM: Age, aging, and the sense of control among older adults: a longitudinal reconsideration. Journal of Gerontology: Psychological Science & Social Science. 2003, 58B: S212-S220.View ArticleGoogle Scholar
- Wolinsky FD, Wyrwich KW, Metz SM, Babu AN, Tierney WM, Kroenke K: Test-retest reliability of the Mirowsky-Ross 2x2 Index of the sense of control. Psychol Rep. 2004, 94: 725-732. 10.2466/pr0.94.2.725-732.View ArticlePubMedGoogle Scholar
- Mirowsky J, Ross CE: Fundamental analysis in research on well-being: distress and the sense of control. Gerontologist. 1996, 36: 584-594. 10.1093/geront/36.5.584.View ArticlePubMedGoogle Scholar
- Wolinsky FD, Vander Weg MW, Martin R, Unverzagt FW, Willis SL, Marsiske M: Does cognitive training improve internal locus of control among older adults?. Journal of Gerontology: Psychological Science & Social Science. 2010, 65B: 591-598. 10.1093/geronb/gbp117.View ArticleGoogle Scholar
- Centres for Disease Control and Prevention: Behavioral risk factor surveillancesystem questionnaire. 2006, Atlanta, GA: Centers for Disease Control and Prevention, (http://www.cdc.gov/brfss/questionnaires/pdf-ques/2007brfss.pdf last accessed February 1, 2010),Google Scholar
- Williams DR, Yu Y, Jackson JS, Anderson NB: Racial differences in physical and mental health: socioeconomic status, stress, and discrimination. J Health Psychol. 1997, 2: 335-351. 10.1177/135910539700200305.View ArticlePubMedGoogle Scholar
- Campbell-Sills L, Stein MB: Psychometric analysis and refinement of the Connor-Davidson Resilience Scale (CD-RISC): validation of a 10-item measure of resilience. J Trauma Stress. 2007, 20: 1019-1028. 10.1002/jts.20271.View ArticlePubMedGoogle Scholar
- Connor KM, Davidson JRT: Development of a new resilience scale: the Connor-Davidson Resilience Scale (CD-RISC). Depress Anxiety. 2003, 18: 76-82. 10.1002/da.10113.View ArticlePubMedGoogle Scholar
- Wolinsky FD, Miller DK, Andresen EM, Malmstrom TK, Miller JP: Reproducibility of physical performance and physiologic assessments. J Aging Health. 2005, 17: 111-124. 10.1177/0898264304272784.View ArticlePubMedGoogle Scholar
- Guralnik JM, Simonsick EM, Ferrucci L, et al: A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. Journal of Geroontology: Medical Sciences. 1994, 49: M85-M94.View ArticleGoogle Scholar
- Guralnik JM, Ferrucci L, Pieper CF, et al: Lower extremity function and subsequent disability: consistency across studies, predictive models, and value of gait speed alone compared with the short physical performance battery. Journal of Gerontology: Medical Sciences. 2000, 55A: M221-M231.Google Scholar
- Klepin HD, Geiger AM, Tooze JA, Kritchevsky SB, Williamson JD, Ellis LR, Levitan D, Pardee TS, Isom S, Powell BL: The feasibility of inpatient geriatric assessment for older adults receiving induction chemotherapy for acute myelogenous leukemia. J Am Geriatr Soc. 2011, 59: 1837-1846. 10.1111/j.1532-5415.2011.03614.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Freire AN, Guerra RO, Alvarado B, Guralnik JM, Zunzunegui M: Validity and Reliability of the Short Physical Performance Battery in Two Diverse Older Adult Populations in Quebec and Brazil. J Aging Health. 2012, 24: in pressGoogle Scholar
- Kwon S, Perera S, Pahor M, Katula JA, King AC, Groessl EJ, Studenski SA: What is a meaningful change in physical performance? Findings from a clinical trial in older adults (the LIFE-P study). J Nutr Health Aging. 2009, 13: 538-544. 10.1007/s12603-009-0104-z.View ArticlePubMedPubMed CentralGoogle Scholar
- Chiarantini D, Volpalo S, Sioulis F, Bartalucci F, Del Bianco L, Mangani I, Pepe G, Tarantini F, Berni A, Marchionni N, Di Bari M: Lower extremity performance measures predict long-term prognosis in older patients hospitalized for heart failure. J Card Fail. 2010, 16: 390-395. 10.1016/j.cardfail.2010.01.004.View ArticlePubMedGoogle Scholar
- Kraus MW, Piff PK, Mendoza-Denton R, Reinschmidt ML, Keltner : Social class, solipsism, and contextualism: how the rich are different from the poor. Psychol Rev. 2012, 119: 546-572.View ArticlePubMedGoogle Scholar
- Elder GH, Johnson MK, Crosnoe R: The emergence and development of life course theory. Handbook of the life course. Edited by: Mortimer J, Shanahan M. 2003, New York, NY: Kluwer Academic Press, 3-19.View ArticleGoogle Scholar
- Dannefer D: Cumulative advantage/disadvantage and the life course: cross-fertilizing age and social science theory. Journal of Gerontology: Psychological Science & Social Science. 2003, 58B: S327-S337.View ArticleGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/12/827/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.