Multiscale Risk Factors of Cardiovascular Disease: CLSA Analysis of Genetic and Psychosocial Factors

A More Supportive Social Environment May Protect Against Nutritional Risk: A Cross-Sectional Analysis Using Data From the Canadian Longitudinal Study on Aging

BACKGROUND

Nutritional risk has been linked to individual social factors, but the relationship with the overall social environment has not been assessed.

OBJECTIVES

To evaluate associations between different support profiles of the social environment and nutritional risk using cross-sectional data from the Canadian Longitudinal Study on Aging (n = 20,206). Subgroup analyses were performed among middle-aged (range, 45-64 y; n = 12,726) and older-aged (≥65 y, n = 7480) adults. Consumption of major food groups [whole grains, proteins, dairy products, and fruits and vegetables (FV)] by social environment profile was a secondary outcome.

METHODS

Latent structure analysis (LSA) classified participants into social environment profiles according to data on network size, social participation, social support, social cohesion, and social isolation. Nutritional risk and food group consumption were assessed with the SCREEN-II-AB and Short Dietary questionnaires, respectively. ANCOVA was conducted to compare SCREEN-II-AB mean scores by social environment profile, adjusted for sociodemographic and lifestyle factors. Models were repeated to compare mean food group consumption (times/day) by social environment profile.

RESULTS

LSA identified 3 social environment profiles classified as low, medium, and high support (17%, 40%, and 42% of the sample, respectively). Adjusted mean SCREEN-II-AB scores significantly increased with increasing social environment support, with the low support score indicating high nutritional risk status [low, medium, high support, respectively: 37.1 (99% CI: 36.9, 37.4), 39.3 (39.2, 39.5), 40.3 (40.2, 40.5), all comparisons P < 0.0001]. Results were consistent among age subgroups. The low support social environment profile had lower consumption of protein [low, medium, high support, respectively (mean ± SD): 2.17 ± 0.09, 2.21 ± 0.07, 2.23 ± 0.08, P = 0.004], dairy (2.32 ± 0.23, 2.40 ± 0.20, 2.38 ± 0.21, P = 0.009), and FV (3.65 ± 0.23, 3.94 ± 0.20, 4.08 ± 0.21, P < 0.0001), with some variation among age subgroups.

CONCLUSIONS

The low support social environment profile had the poorest nutritional outcomes. Therefore, a more supportive social environment may protect against nutritional risk among middle- and older-aged adults.

Association of Joint Genetic and Social Environmental Risks With Incident Myocardial Infarction: Results From the Health and Retirement Study

Background Myocardial infarction (MI) is a significant clinical and public health problem worldwide. However, little research has assessed the interplay between genetic susceptibility and social environment in the development of MI. Methods and Results Data were from the HRS (Health and Retirement Study). The polygenic risk score and polysocial score for MI were classified as low, intermediate, and high. Using Cox regression models, we assessed the race-specific association of polygenic score and polysocial score with MI and examined the association between polysocial score and MI in each polygenic risk score category. We also examined the joint effect of genetic (low, intermediate, and high) and social environmental risks (low/intermediate, high) on MI. A total of 612 Black and 4795 White adults aged ≥65 years initially free of MI were included. We found a risk gradient of MI across the polygenic risk score and polysocial score among White participants; no significant risk gradient across the polygenic risk score was found among Black participants. A disadvantaged social environment was associated with a higher risk of incident MI among older White adults with intermediate and high genetic risk but not those with low genetic risk. We revealed the joint effect of genetics and social environment in the development of MI among White participants. Conclusions Living in a favorable social environment is particularly important for people with intermediate and high genetic risk for MI. It is critical to developing tailored interventions to improve social environment for disease prevention, especially among adults with a relatively high genetic risk.

Applicability of polygenic risk scores in endometriosis clinical presentation

Background

Risk prediction is an essential part of preventative medicine and in recent years genomic information has become an interesting factor in risk models. Polygenic risk scores (PRS) combine the effect of many genetic variations into a single score which has been shown to have predictive value for many diseases. This study aimed to investigate the association between PRS for endometriosis and the clinical presentation of the disease.

Methods

Women with endometriosis (N = 172) were identified at the Department of Gynecology. All participants answered questionnaires regarding sociodemographic factors, lifestyle habits and medical history, registered bowel symptoms on the Visual Analog Scale for Irritable Bowel Syndrome and passed blood samples. DNA was extracted and samples were genotyped, and a PRS was calculated based on previous genome-wide association studies of endometriosis. Inflammatory proteins and TSH receptor antibodies (TRAb) in serum were analyzed.

Results

Inverse associations were identified between PRS and spread of endometriosis, involvement of the gastrointestinal tract and hormone treatment. However, significance was lost when calculated as p for trend and the specificity and sensitivity were low. There were no correlations between PRS and TRAb or inflammatory proteins.

Conclusion

The findings indicate that specific PRS should be developed to predict clinical presentations in patient with endometriosis.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12905-022-01788-w.

Less Social Participation Is Associated With a Higher Risk of Depressive Symptoms Among Chinese Older Adults: A Community-Based Longitudinal Prospective Cohort Study

OBJECTIVE

We aimed to examine the association between social participation and depressive symptoms among Chinese older people aged 65 years or above to supplement limited studies in China on this topic.

METHODS

This community-based longitudinal prospective cohort study used the data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS, baseline in 2014 and a follow-up in 2018). Depressive symptoms were assessed using the 10-item Center for Epidemiologic Studies Depression Scale. Social participation was assessed using a composite index by considering the frequency for the two types of social activity: organized social activities and informal activities. Pearson's χ² test was used to correlate the characteristics of participants with social participation or depressive symptoms. Log-binomial regression models were used to assess the association between social participation and the risk of depressive symptoms.

RESULTS

The incidence of depressive symptoms was 28.8% among 2,200 participants in 2018 after a 4-year follow-up. Participants with no social participation (32.6%), organized social activities (30.6%), or informal social activities (31.2%) were more likely to have depressive symptoms. After the adjustment of demographic factors, socioeconomic status, lifestyle habits, and health status, in comparison with older people who often engaged in social participation, organized social activities, and informal social activities, the risk of depressive symptoms was 45% [adjusted risk ratio (aRR): 1.45, 95% CI: 1.16-1.82], 42% (aRR: 1.45, 95% CI: 1.02-2.00), and 29% (aRR: 1.29, 95% CI: 1.02-1.99) higher among older people with no social participation and who never engaged in organized social activities and informal social activities, respectively.

CONCLUSIONS

This study showed that the lack of social participation, including organized social activities and informal social activities, was associated with a higher risk of depressive symptoms after 4 years among older adults in China. Our findings shed lights into the feasibility of promoting social participation to reduce the risk of depressive symptoms and promote longevity and healthy aging among older adults.

Cohort profile: genomic data for 26 622 individuals from the Canadian Longitudinal Study on Aging (CLSA)

PURPOSE

The Canadian Longitudinal Study on Aging (CLSA) Comprehensive cohort was established to provide unique opportunities to study the genetic and environmental contributions to human disease as well as ageing process. The aim of this report was to describe the genomic data included in CLSA.

PARTICIPANTS

A total of 26 622 individuals from the CLSA Comprehensive cohort of men and women aged 45-85 recruited between 2010 and 2015 underwent genome-wide genotyping of DNA samples collected from blood. Comprehensive quality control metrics were measured for genetic markers and samples, respectively. The genotypes were imputed to the TOPMed reference panel. Sex chromosome abnormalities were identified by copy number profiling. Classical human leukocyte antigen gene haplotypes were imputed at two-field (four-digit).

FINDINGS TO DATE

Of the 26 622 genotyped participants, 24 655 (92.6%) were identified as having European ancestry. These genomic data were linked to physical, lifestyle, medical, economic, environmental and psychosocial factors collected longitudinally in CLSA. The combined analysis, including CLSA genomic data, uncovered over 100 novel loci associated with key parameters to define glaucoma. The CLSA genomic dataset validated the contribution of a polygenic risk score to screen individuals with high fracture risk. It is also a valuable resource to directly identify common genetic variations associated with conditions related to complex traits. Taking advantage of the comprehensive interview and physical information collected in CLSA, this genomic dataset has been linked to psychosocial factors to investigate both the independent and interactive effects on cardiovascular disease.

FUTURE PLANS

The CLSA overall is ongoing. Follow-up data will continue to be collected from participants in the current genomic subcohort, including the DNA methylation and metabolomic data. Ongoing studies focus on elucidating the role of genetic factors in cognitive decline and cardiovascular diseases. This genomic data resource is available on request through the CLSA data access application process.