Neighborhood Access to the Built Environment and Allostatic Load: A Systematic Review of the Use of Geographic Information Systems

Objectives: This paper systematically reviews how spatial analysis has been used to measure relationships between access to the built environment and Allostatic Load (AL) or biomarkers relevant to the stress pathway. Geographic Information Systems (GIS) facilitate objective measurement of built environment access that may explain unequal health outcomes linked to living in stressful environments. Methods: Systematic review, search date 13 July 2022 with methods published a priori. Included studies that quantitatively assessed associations between GIS measures of neighborhood attributes and biomarkers of stress. Results: 23 studies from 14 countries were included having used GIS measures to assess relationships between access to the built environment and biomarkers relevant to AL, with 17 being cross-sectional and 6 longitudinal. Just 2 studies explicitly assessed associations between GIS measures and AL, but 21 explored biomarkers relevant to the stress pathway. GIS was used to calculate density (how much of x within y) and proximity (how far from a to b) measures. Conclusion: GIS measures of greenspace, the food environment, area-level demographics, and land-use measures were found to influence biomarkers relevant to the stress pathway, highlighting the utility of this approach. GIS use is extremely limited when measuring the built environment and its influence on AL but has been widely used to consider effects on individual biomarkers of stress. Systematic Review Registration: [https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=348355], identifier [CRD42022348355].

Influencing Factors of Healthy Aging Risk Assessed Using Biomarkers: A Life Course Perspective

Assessing individual risks of healthy aging using biomarkers and identifying associated factors have become important areas of research. In this study, we conducted a literature review of relevant publications between 2018 and 2023 in both Chinese and English databases. Previous studies have predominantly used single biomarkers, such as C-reactive protein, or focused on specific life course stages and factors such as socioeconomic status, mental health, educational levels, and unhealthy lifestyles. By summarizing the progress in this field, our study provides valuable insights and future directions for promoting healthy aging from a life course perspective.

Educational patterning in biological health seven years apart: Findings from the Tromsø Study

BACKGROUND

Social-to-biological processes is one set of mechanisms underlying the relationship between social position and health. However, very few studies have focused on the relationship between social factors and biology at multiple time points. This work investigates the relationship between education and the dynamic changes in a composite Biological Health Score (BHS) using two time points seven years apart in a Norwegian adult population.

METHODS

We used data from individuals aged 30 years and above who participated in Tromsø6 (2007-2008) and Tromsø7 (2015-2016) (n = 8117). BHS was defined using ten biomarkers measured from blood samples and representing three physiological systems (cardiovascular, metabolic, inflammatory). The higher the BHS, the poorer the health status.

FINDINGS

Linear regression models carried out on BHS revealed a strong educational gradient at two distinct time points but also over time. People with lower educational attainment were at higher risk of poor biological health at a given time point (βlow education Tromsø6=0.30 [95 %-CI=0.18-0.43] and βlow education Tromsø7=0.30 [95 %-CI=0.17-0.42]). They also presented higher longitudinal BHS compared to people with higher education (βlow education = 0.89 [95 %-CI=0.56-1.23]). Certain biomarkers related to the cardiovascular system and the metabolic system were strongly socially distributed, even after adjustment for sex, age, health behaviours and body mass index.

CONCLUSION

This longitudinal analysis highlights that participants with lower education had their biological health deteriorated to a greater extent over time compared to people with higher education. Our findings provide added evidence of the biological embodiment of social position, particularly with respect to dynamic aspects for which little evidence exists.

The Big Five personality traits and allostatic load in middle to older adulthood: A systematic review and meta-analysis

Further understanding of the associations between personality traits and allostatic load (AL) may be important for predicting, addressing, and optimizing health outcomes. This review synthesized the existing literature reporting the association between the Big Five personality traits and AL in adults to identify the generalizability and robustness of relationships, potential mechanisms underlying the associations, and study characteristics that may be contributing to inconsistencies in the field. Published and unpublished empirical reports were included if at least one of the Big Five traits was examined and an AL index was constructed using at least two biomarkers in a sample of adults. The methodological plan and standardized coding guide were pre-registered and reported (https://osf.io/rxw5a). Based on 11 studies that met eligibility, meta-analysis of correlation coefficients indicated a small but significant positive association between neuroticism and AL, and small but significant inverse associations between both conscientiousness and openness with AL. This review identifies strengths and limitations within the field, as well as several avenues for future research.

Allostatic load and depressive symptoms in older adults: An analysis of 12-year panel data

BACKGROUND

Whether changes in allostatic load (AL) and depressive symptoms relate over time has not been yet fully explored. This study evaluated the association between AL and depressive symptoms over 12 years among community-dwelling older adults.

METHODS

Panel data from 8291 participants in the English Longitudinal Study of Ageing were analysed. Depressive symptoms were assessed with the 8-item Centre for Epidemiologic Studies Depression Scale (CES-D). The AL score was derived from nine metabolic, cardiovascular and immune biomarkers. The association between AL and depressive symptoms was modelled in a linear hybrid model adjusting for time-invariant (sex, ethnicity) and time-variant confounders (age, marital status, education, wealth, physical activity, smoking status, alcohol intake, limitations in daily living, comorbidities).

RESULTS

The mean AL score was 3.1 (SD: 2.1), 3.5 (2.3), 3.2 (2.3) and 3.3 (2.5) whereas the mean CES-D score was 1.4 (SD: 1.8), 1.2 (1.8), 1.2 (1.8) and 1.2 (1.7) in waves 2, 4, 6 and 8, respectively. In the adjusted model, the between-person differences (coefficient: 0.02, 95% CI: 0.01, 0.04) but not the within-individual differences (0.01; 95% CI: -0.01, 0.03) in the AL score were associated with CES-D score. The between-person coefficient indicates that participants with greater AL scores also had slightly higher CES-D scores. The within-person coefficient indicates that changes in the AL score were not associated with changes in the CES-D score.

CONCLUSION

AL was associated with depressive symptoms. However, most of the association was driven by differences in AL between individuals rather than changes in AL over time.

Comparing Predictors and Outcomes of Higher Allostatic Load across Zoo-Housed African Great Apes

Stressors over the lifespan can contribute to physiological dysregulation, or allostatic load. Allostatic load has been studied in humans using allostatic load indices (ALIs) for over 25 years, but the same methods are rarely applied to other species. We constructed an ALI for zoo-housed western lowland gorillas, chimpanzees, and bonobos and tested potential predictors of and health outcomes associated with allostatic load. Allostatic load scores ranged from 0–6 for gorillas and chimpanzees and 0–7 for bonobos. Age was significantly associated with allostatic load in gorillas and chimpanzees but not bonobos. Cumulative stressful events were positively associated with allostatic load in chimpanzees. Wild-caught gorillas had higher allostatic load than zoo-born conspecifics, but rearing differences between zoo-born animals were not significant for any species. Age may affect associations of allostatic load with stressful events and birthplace as results change when it is included as a covariate. Allostatic load was not retained in best-fit models for risk of all-cause morbidity, cardiac disease, or mortality risk. Some analyses herein were limited by the use of retrospective data, such as reason for sample collection and length of records provided for individual animals. Nevertheless, these data indicate additional research is needed to optimize ALIs for non-human primates.

Complete Tooth Loss and Allostatic Load Changes Later in Life: A 12-Year Follow-Up Analysis of the English Longitudinal Study of Ageing

OBJECTIVE

There is little evidence of the association between complete tooth loss and allostatic load (AL). We investigated, firstly, the association between complete tooth loss and changes in AL for 12 years among older English adults. A second aim was to explore the role of fruit and vegetable consumption in explaining the aforementioned association.

METHODS

AL was calculated for 2430 English Longitudinal Study of Ageing cohort (2004/5-2016/17) participants 50 years and older based on nine biomarkers: systolic and diastolic blood pressures, glycated hemoglobin, high- and low-density lipoprotein cholesterol, triglycerides, fibrinogen, C-reactive protein, and waist circumference. The exposure was complete tooth loss. Participants were classified as dentate or edentulous. A linear mixed-effects model was fitted to model the 12-year change in AL score and its association with complete tooth loss after adjustments for confounders (demographic factors, socioeconomic position, and health behaviors).

RESULTS

Around 11% of the participants were edentulous. Complete tooth loss was positively associated with baseline AL scores but not with its rate of change over time. The predicted mean AL scores were 3.60 (95% confidence interval [CI] = 3.53-3.68) and 3.98 (95% CI = 3.76-4.21) as well as 4·28 (95% CI = 4·18, 4·39) and 4·66 (95% CI = 4·42, 4·90) for dentate and edentulous participants, at baseline and end of follow-up, respectively. Fruit and vegetable consumption was not associated with baseline AL or its rate of change.

CONCLUSIONS

Complete tooth loss was associated with baseline AL score but not with its development over time, whereas the consumption of fruit and vegetables did not help to explain this association. Both conditions may share common determinants earlier in life.

Comparison of the level of allostatic load between patients with major depression and the general population

OBJECTIVE

We compared the level of allostatic load (AL) between patients with major depressive disorder (MDD) and non-depressed controls using two definitions of AL: continuous AL scores (AL index) and clinically significant high AL (≥4). We examined whether MDD was associated with AL independent of basic socioeconomic (age, sex, cohabiting status and level of education) and lifestyle factors (smoking and alcohol use).

METHODS

The MDD patient sample consisted of 177 psychiatric outpatients (mean age 33.7, SD 10.7 years), who were recruited from the Department of Psychiatry at Kuopio University Hospital, Finland, in 2016-19. The non-depressed controls (n = 228, mean age 49.8, SD 10.1 years) lived in the municipality of Lapinlahti, Finland. Ten biomarkers were used to construct the two AL variables. These indicators were systolic and diastolic blood pressure, total cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides, glucose, creatinine, waist circumference, body mass index (BMI) and C-reactive protein (CRP).

RESULTS

The mean AL scores did not significantly differ between MDD patients (2.97) and non-depressed controls (3.12), thus it was not associated with MDD in univariate analysis. In multivariate models a higher AL index was associated with a 1.42 to 1.82 times higher likelihood of belonging to the MDD group. Furthermore, we found that high AL (i.e. AL ≥ 4) was associated with MDD, with the likelihood ranging between 2.27 and 2.96 compared with the non-depressed controls in multivariate models.

CONCLUSIONS

Even young adult patients with MDD appear to display clinically significant, high AL compared with non-depressed controls. Thus, it is important to pay attention to the somatic health of depressed patients in addition to their mental health.

Putting cumulative (dis)advantages in context: Comparing the role of educational inequality in later-life functional health trajectories in England and Germany

BACKGROUND

The cumulative (dis)advantage (CAD) perspective more and more is examined in a comparative way, to highlight the role of context in generating inequality over the life course. This study adds to this field of research by examining trajectories of activities of daily living (ADL) in later life by educational level in a country comparison of England and Germany, emphasizing differing institutional conditions.

METHOD

Data used are the English Longitudinal Study of Ageing (ELSA; 11,352 individuals) and the German subsample of the Survey of Health and Retirement in Europe (SHARE; 5,573 individuals). Using population averaged Poisson panel regression models, 12-year trajectories of six birth cohorts are investigated, covering the age range of 50 to 90 years.

RESULTS

Respondents in England have a higher level of limitations at age 50, and more limited increases over age than in Germany. An educational gradient exists in both countries at age 50. Notably, the educational gradient increases for more recently born cohorts, but declines with increasing age in England, while in Germany educational differences increase for more recently born cohort only.

DISCUSSION

The current study indicates that CAD processes between educational groups are context sensitive. While England showed convergence of disparities with increasing age, in Germany no differential development was found.