Stress, Social Support, and Resilience in Younger Rural Women: A Structural Equation Model

Biopsychosocial contexts influence adult cognitive function concurrently and longitudinally

Background

Cognitive aging is a complex process that impacts human behavior. Identifying the factors that preserve cognitive functioning is a public health priority, given that 20% of the US population will be at least 65 years old in the next decade. Biopsychosocial determinants of cognitive decline across the lifespan are often examined as ecological factors that independently moderate cognitive aging, despite the known complexity surrounding these relationships.

Objective

We aimed to address this gap by exploring the synergistic and simultaneous relationship between risk and protective factors on cognitive functioning.

Method

Using the MIDUS study datasets, we examined the relationships among physiological markers, friendship quality, and global cognition functioning, concurrently and longitudinally over ten years. Our participants included 929 healthy (417 men, 512 women) adults (average age at Time 1: 54.6 ± 11.6 years). Exploratory analyses examining the effects of racial minority status were also conducted.

Results

Cross-sectionally, age, and friendship quality moderated the relationship between vagally-mediated heart rate variability (vm-HRV) and cognition such that younger adults with greater friendship quality had a negative relationship between vm-HRV and cognitive performance; our unexpected finding suggests the heart-brain relationship is sensitive to the biopsychosocial environment. Longitudinally, higher IL-6 levels at Time 1 predicted poorer cognitive performance a decade later, but only among those with greater levels of friendship quality, especially for white-identifying individuals.

Conclusions

The relationships among physiological risk factors, social protective factors and cognitive functioning appear to be temporally different during mid-adulthood. Given many of the whole sample findings were not replicated within the racial minority subgroup, we suggest that these relationships should be examined in a larger and more diverse racial minority sample to determine whether this study lacked the power necessary to detect a relationship or if the relationships are in fact different by racial minority sub-group. In addition, future research should overcome the study's reliance on healthy adults and self-report measures of friendship quality by including adults with pre-existing cognitive impairments, and employing more real-time measures of friendship quality, such as daily diary or ecological momentary assessment.

Development and Evaluation of a Measure for Social Support Provided by Friends during Lifestyle Management Programs

Obesity is a public health crisis that contributes to chronic disease prevalence, morbidity, and mortality. Nutrition and physical activity are risk factors for many chronic diseases including cancer and cardiovascular disease, the leading causes of death in the United States. Lifestyle management programs to address obesity and potential sequelae such as chronic conditions have shown efficacy, with social support an important factor in interventions. Instruments that assess social support specifically provided by friends are lacking but could be important predictors of program success. The purpose of this study was to examine the reliability and validity of the 10-item Social Support to Eat Better and Move More instrument that was developed and designed to measure support from friends that influence dietary and physical activity behaviors during lifestyle management programs. Data were collected during a cross-sectional study using purposive sampling strategies among adult residents of two southern states. Statistical analysis was conducted to examine latent factors, internal consistency, and convergent and predictive validity. These preliminary results indicated that the Social Support to Eat Better and Move More instrument had excellent internal consistency for the overall measure (α = 0.96) as well as for informational support (α = 0.97), emotional support (α = 0.96), and encouragement (α = 0.97). The tool related well to another general social support measure as well as to diet, physical activity, and health-related variables, and it can be a useful measure in lifestyle management studies.