Social Function and Cognitive Status: Results from a US Nationally Representative Survey of Older Adults

ABSTRACT

BACKGROUND

An early sign of cognitive decline in older adults is often a disruption in social function, but our understanding of this association is limited.

OBJECTIVE

We aimed to determine whether those screening positive for early stages of cognitive impairment have differences across multiple dimensions of social function and whether associations differ by gender.

DESIGN

United States nationally representative cohort (2010), the National Social life, Health, and Aging Project (NSHAP).

PARTICIPANTS

Community-dwelling adults aged 62–90 years (N = 3,310) with a response rate of 76.9 %.

MAIN MEASURES

Cognition was measured using a survey adaptation of the Montreal Cognitive Assessment categorized into three groups: normal, mild cognitive impairment (MCI), and dementia. We measured three domains of social relationships, each comprised of two scales: network structure (size and density), social resources (social support and social strain), and social engagement (community involvement and socializing). We used multiple linear regression to characterize the relationship of each social relationship measure to cognition.

KEY RESULTS

Individuals screened as at risk for MCI and early dementia had smaller network sizes by 0.3 and 0.6 individuals (p < 0.001), and a 10 % and 25 % increase in network density (p < 0.001), respectively. For social resources, individuals at risk for MCI and dementia had 4 % and 14 % less social strain (p = 0.01), but only women had 3 % and 6 % less perceived social support (p = 0.013), respectively. For social engagement, individuals screened positive for MCI and dementia had 8 % and 19 % less community involvement (p = 0.01), but only men had 8 % and 13 % increased social involvement with neighbors and family members (p < 0.001), respectively.

CONCLUSION

Changes in social functioning provide an early indication to screen for cognitive loss. Recognition that early cognitive loss is associated with differences in social function can guide counseling efforts and help identify social vulnerabilities to ease the transition to overt dementia for both patients and caregivers.

INTRODUCTION

An early sign of cognitive decline in older adults can be disruption of social activities, including loss of community connections and altered interactions with family and friends. Changes in social function in older adults can reduce quality of life,1,2 impede independent living,3 and increase mortality.4,5 An improved understanding of the relationship of cognitive decline with social function could help identify areas where older adults need more support to address social vulnerabilities and preserve independence. It could also help target cognitive screening to those with early signs of impairment.

Most research on cognition and social relationships examines whether improved social relationships can delay dementia onset.6 Longitudinal studies show that larger social networks,7,8 access to social resources,9,10 and community engagement reduce dementia diagnoses.11–17 Hypotheses on mechanisms by which social relationships can reduce cognitive decline include: delay of cognitive atrophy (“use it or lose it”),18 higher cognitive reserve,19 and preventing stress-related cognitive declines.6 This is likely a bidirectional relationship, where cognitive decline can lead to altered social relationships.20–22

However, there is less information on the relationship of social function with earlier stages of cognitive decline such as mild cognitive impairment (MCI) in community-based samples. Cognitive assessments have relied on dementia diagnoses or have used screening tools, such as the Short Portable Mental Status Questionnaire (SPMSQ),21,23,24 or the Mini-Mental Status Exam (MMSE),8,10,25 which are relatively insensitive to early impairment.26–28 Clinicians would benefit from understanding whether early stages of impairment are associated with altered social relationships.

Previous studies focus on limited, isolated dimensions of social function rather than using a broad set of interrelated factors. To understand the full clinical consequences of lower cognition for social relationships, multiple aspects of social function should be assessed.4,14 For example, in examining social network structure, network sizes are smaller for those with cognitive impairment,7,8 suggesting less social support and higher potential caregiver burden. However, it is unclear whether composition of the network relationships also change.29 Smaller, denser networks with more communication and coordination may help provide support. Regarding social resources, individuals with lower cognition may be less able to mobilize social resources, but it is unclear where these perceived losses of support occur and if individuals continue to perceive demands from friends and family. Inability to utilize social resources may indicate a barrier to independent living. For social engagement, one might expect decreased community involvement at lower cognitive status,10,12,13 but less is known regarding social isolation at home. Less interaction with friends, family and the community is often the most noticeable social sign of cognitive impairment, and a better characterization of such differences could provide clues on when to screen for cognitive loss.

Evidence suggests that social relationships differ substantially by gender,30–33 and therefore changes in cognition likely impact social relationships in a different way by gender. However, few studies have examined this; stronger associations between cognition and social engagement exist for women,12,13,21,34 but nothing is known regarding other social domains. Knowing about gender differences linking cognitive function and other domains of social relationships could help clinicians better manage older patients with early cognitive impairment.

Using a nationally representative sample of community-dwelling older adults, the National Social life Health and Aging Project (NSHAP; Wave 2), we examine the link between cognition and multiple social relationships. Our goal is to provide those caring for older adults with a richer description of social differences at earlier stages of cognitive impairment, which may differ by gender. We hypothesize that lower cognition, even at early stages, is associated with smaller and denser networks, less access to social resources, and less engagement with family, friends, and community. We further hypothesize the association of cognition with social relationships to be weaker for women because of their greater experience in mobilizing social resources.

METHODS

Study Sample

We used the NSHAP Wave 2 (W2) sample, an in-home, nationally representative probability sample of older adults from households across the United States, collected between August 2010 and May 2011.35 As a sampling strategy, NSHAP-W2 included co-resident spouses and partners, yielding 3,377 respondents aged 62–90 years old. The weighted overall response rate was 76.9 %. Individuals unable to complete the interview, due to physical or cognitive limitations, were not enrolled. After the in-person survey was completed, respondents were also given a paper-and-pencil questionnaire with additional questions on social life to be mailed into the collection center, which was completed by 88.6 % of participants. Individuals with missing values for key covariates were excluded (n = 67), yielding a final sample of 3,310 individuals. All respondents provided written informed consent and the protocol was approved by the institutional review boards at the University of Chicago and National Opinion Research Center (NORC).

Social Relationships

We evaluated three dimensions of social relationships: social network structure, social resources, and social engagement. First, we examined two structural aspects of social networks: size and density. Size was determined using NSHAP’s network roster, asking respondents to name up to five persons with whom he or she “discussed important matters” within the past 12 months.35 This method elicits the number of influential individuals in respondents’ lives.36 Density describes the overall degree of involvement of all members of the network and how close-knit a respondent’s social context is. It was calculated as a respondent’s frequency of interaction with each network member plus the frequency of interactions among each possible pair of network members, divided by network size. Density values are continuous between a range of 0 and 1, where a value of 1 indicates that all possible pairs of network members have the maximum contact, and a value of 0 indicates no contact between any of the possible pairs of network members.36

Second, we examined social resources and demands that accompany social relationships: perceived social support and perceived social strain. Perceived social support was measured by asking whether the respondent could (independently): 1) rely on and 2) open up to their spouse, family, or friends. Each of these six items had possible responses of “Never” (0 points), “Rarely” (1 point), “Sometimes” (2 points), or “Often” (3 points). Sources were combined to yield a composite scale ranging from 0 to 18 points (Cronbach’s α = 0.64), with 0 indicating no social support and 18 representing frequent social support from all three sources.37 Perceived social strain was evaluated by asking how often the respondent’s spouse, family, or friends: 1) make too many demands, 2) criticize you, or 3) get on your nerves. These nine items combined into a composite scale ranging from 0 to 27 points (Cronbach’s α = 0.73), with 0 representing no social strain and 27 points representing frequent social strain from all three sources. Unmarried adults received scale scores for friends and family only, and therefore, friends and family item scores were averaged and rescaled to the full scale for comparability with the married.

Third, we examined two aspects of social engagement: community involvement (n = 2,853) and socializing with relatives and friends (n = 2,880). Items for each scale were included in the leave-behind questionnaire, yielding smaller sample sizes. Community involvement was measured using three items asking about the frequency in the past 12 months of: 1) attending religious services, 2) attending community group meetings, and 3) volunteering. The three items were combined into a scale ranging from 0 to 18 points (Cronbach’s α = 0.71), where a value of 0 indicates no participation and a value of 18 indicates frequent participation in all three activities. Socializing with relatives and friends was measured using two items describing how frequently in the last year respondents interacted socially with: 1) friends or relatives; and 2) neighbors. These items were combined to create a 0–6 point scale, with 0 indicating low socialization and 6 indicating high socialization.

Independent Variable—Cognitive Status

The Montreal Cognitive Assessment (MoCA) is a screening tool designed to differentiate cognitive changes of normal aging from MCI and early dementia in clinical populations.38 Following extensive testing, an 18-item survey adaptation of the Montreal Cognitive Assessment (MoCA-SA) was included in NSHAP-W2.28 The MoCA-SA was designed for administration by non-medical personnel and to reduce respondent burden within the context of a large, time-limited national survey, while preserving the MoCA’s sensitivity to a range of cognitive abilities. MoCA-SA scores are highly correlated with the MoCA and scores can be accurately converted into MoCA scores.39 The specific items included are: 1) Orientation: date and month (2 points total); 2) Executive function: abstraction—similarity of watch and ruler (1 point), modified Trails-b (1 point); 3) Visuospatial skills: clock—contour, numbers, and hands (3 points total); 4) Memory: 5-word delayed recall (5 points); 5) Attention: forward digits (1 point), backward digits (1 point), subtract 7 s (3 points); and 6) Language: naming rhinoceros (1 point), phonemic fluency—words with the letter “F” (1 point for > 10 words in 60 s), and sentence repetition (1 point).

Questions remain regarding most appropriate cutoffs from the MoCA to screen for MCI or dementia; studies from selected clinical samples favor higher cutoff values to define MCI,38,40,41 compared to community-based studies,42–44 which accept lower cutoffs. We divided the scale into three categories based on community samples: >22 points (normal), 18–22 points (screen positive for MCI), < 18 points (screen positive for dementia).43 These latter categories represent groups that would screen positive on the MoCA for likely cognitive impairment recommending neuropsychiatric testing. Sensitivity analyses of MoCA-SA both as a continuous variable and as a categorical variable with higher cutoffs yielded similar results (available by request).

Covariates

Covariates were chosen based on prior work identifying them as potential confounders.12,17,45 We included self-reported age, gender (male or female), ethnicity (White, African American, Hispanic, or other), education (less than high school, high school or its equivalent, some college or vocational degree, and college degree or higher), and marital status (married, divorced or separated, widowed, and never married). Health status was measured using self-rated physical health, grouped into dichotomous categories of “Excellent/Very Good/Good” or “Fair/Poor,” and the NSHAP Comorbidity index, as detailed elsewhere.46 Depressive symptoms were measured using an adaption of the Center for Epidemiological Studies-Depression (CES-D) scale.47 Health behaviors were included as controls in the analysis, including tobacco use, exercise, and alcohol consumption.48

Statistical Analysis

The association of each social relationship variable with cognitive status was assessed in six separate multiple linear regression models. Each included covariates (age, gender, education, ethnicity, marriage, self-rated health, comorbidities, depressive symptoms, smoking, exercise, and alcohol use). We tested for interactions between cognitive status and gender in each model and included statistically significant (p < 0.05) interaction terms in the final individual models. Model assumptions about linearity, variable independence, multicollinearity, and normality of residuals were assessed and met.49 Beta coefficients are reported, as are 95 % confidence intervals. Adjusted marginal probability estimates derived from the final models are used to estimate the level of social functioning for those screening positive for dementia, MCI, and normal cognition. All statistical analyses utilized sampling weights to ensure representativeness and were performed using Stata 12.1.50,51

RESULTS

Sample characteristics are shown in Table 1. Average age was 72.4 years (SD = 7.3), approximately 52 % were women, and 65 % were married. The mean number of comorbidities was 2.7 (SD = 2.0). The mean estimated MoCA score was 22.6 (SD = 4.4); using community cutoffs, 26 % screened as at risk for MCI (18–22) and 15 % screened as at risk for dementia (< 18). Bivariate associations between cognition and social relationships are shown in Table 2.

Table 1. Weighted Sample Demographic and Health Characteristics (n = 3310)

Table 2. Social Relationships in Full Sample and by Cognitive Status

Multiple regression results are shown in Table 3. After adjustment for covariates, individuals who screened as at risk for MCI and dementia had smaller network sizes by 0.3 individuals and 0.6 individuals, respectively, as compared with individuals screened as normal (p < 0.001) (Fig. 1a). Lower cognition was associated with a 10 % and 25 % increase in density for those screened for MCI and dementia, respectively (p < 0.001) (Fig. 1b). Subsequent analysis showed a higher proportion of family members in their network than those screened as normal (65 % in normal vs. 73 % in dementia).

Table 3. Multiple Regression Models of Cognitive Status by Social Relationship Measures

Figure 1.

Adjusted marginal estimates of the association between cognitive status and social relationship structure, including a) network size and b) network density. Marginal estimates are from separate linear regression models adjusted for age, gender, education, ethnic group, marital status, self-rated health, comorbidities, depressive symptoms, smoking, exercise, and alcohol. Bars represent 95 % confidence intervals. Abbreviations: MCI – mild cognitive impairment.

The association of cognitive status with social support differed by gender (p = 0.013) (Fig. 2a). Overall, women with lower cognitive scores perceived less social support (p = 0.01), but there was no difference for men (p = 0.99). Women perceived the largest decrease in support from friends compared with family and their spouse (p = 0.04), whereas men perceived increased support from their spouse (p = 0.01). Both men and women with lower cognitive scores perceived less social strain than those screened as normal (p = 0.01), mainly from their spouse (Fig. 2b).

Figure 2.

Adjusted marginal estimates of the association between cognitive status and social resources, including a) social support, b) social strain. Marginal estimates are from separate linear regression models adjusted for age, gender, education, ethnic group, marital status, self-rated health, comorbidities, depressive symptoms, smoking, exercise, and alcohol. Bars represent 95 % confidence intervals. Abbreviations: MCI – mild cognitive impairment.

For social engagement, individuals with lower cognitive scores reported lower community involvement than those screened as normal (p = 0.01) (Fig. 3a); there was decreased participation in group activities (p < 0.001) and volunteer work (p = 0.05), whereas religious involvement remained similar. In contrast, community involvement increased with age (Fig. 3b). Finally, the association of cognition with socializing differed by gender (p < 0.001) (Fig. 3c); men with lower cognitive scores socialized more with friends and relatives (p = 0.001), but there was no association for women (p = 0.80).

Figure 3.

Adjusted marginal estimates of the association between cognitive status and social relationships. Panel a shows the association of community involvement with cognition; this contrasts with Panel b, which shows the association of community involvement with age. Panel c shows the association between socializing and cognition with the interaction with gender. Marginal estimates are from separate linear regression models adjusted for age, gender, education, ethnic group, marital status, self-rated health, comorbidities, depressive symptoms, smoking, exercise, and alcohol. Bars represent 95 % confidence intervals. Abbreviations: MCI – mild cognitive impairment.

DISCUSSION

In a nationally representative sample of community-dwelling older adults, the NSHAP-W2, we found that lower cognition was associated with significant differences across multiple dimensions of social functioning. Associations were apparent even in those screening positive for early stages of cognitive impairment, and associations often differed by gender.

As hypothesized and consistent with prior literature, individuals with lower cognitive scores had smaller social networks.7,14 In addition, those with lower cognitive scores had networks that were denser, more interconnected, and contained a higher proportion of relatives. One possible explanation for this finding is that lower cognition hinders the maintenance of diverse and distant network ties, leading to smaller and denser networks.31 Alternatively, this difference may reflect compensatory changes in network structure in response to cognitive difficulties—more densely-linked, family-centered networks may help in monitoring and supporting the health of an impaired individual.52 A longitudinal assessment of network density is needed to further test these mechanisms.

Results supported our hypothesis that lower cognition is associated with decreased access to social resources, with notable gender differences. Women with lower cognition scores perceived significantly less social support than women with higher scores, particularly from friends. Conversely, men with lower cognition scores perceived increased spousal support. Prior literature suggests women are better able to mobilize social support when needed, particularly in a health context.30 We speculate that lower cognitive status in women, even at its mildest, may decrease their ability to mobilize and maintain social support. Expanding on prior literature, both men and women reported less perceived social strain with lower cognitive status, consistent with network members placing fewer social demands on them.14

Consistent with our hypothesis based on prior literature, lower cognition was associated with lower levels of community involvement. Importantly, this is distinct from most older adults who have increased levels of community engagement with age.53 This was true even for individuals screening positive for MCI, suggesting an early indicator of cognitive loss. We also hypothesized that lower cognition would be associated with social isolation from family and friends, which was not the case. Instead, men with lower cognitive status socialized more with friends and neighbors, while women showed no differences. Perhaps as men experience cognitive decline, their overall network size contracts, but they rely more on proximal relations, such as family, neighbors, and close friends.30 Alternatively, close friends and relatives may “check in on” men with cognitive difficulties more frequently. We note that results held even after controlling for marital status, suggesting this to be unrelated to women in the sample outliving men.

Our results have clinical implications. First, disruptions in social function may be an indication for providers to conduct cognitive screens like the MoCA, even when other known signs of cognitive impairment are not apparent. Specific social clues supported by our data include having fewer confidantes, increasing reliance on family, and women perceiving less support from friends. Less participation in community activities may also be a reason to screen for cognitive impairment, since age is typically associated with increased participation. Second, the loss of diverse network ties and a reliance on denser, more interconnected networks may increase caregiver burden, which is associated with poor outcomes for both the patient and caregiver.54–56 Consequently, identifying caregiver stress and mobilizing support at earlier stages of cognitive loss may help ease the transition to overt dementia, should it occur. Finally, clinicians can counsel patients and families on social function changes that may occur at early stages of cognitive loss. For example, women with early cognitive loss experience greater perceived losses in social support, and providers should connect these women with social resources and support.56

Our study has limitations. First, we do not have full neuropsychological testing for our large sample, and thus cannot provide formal diagnoses of MCI or dementia. However, we used a well-tested survey adaptation of a screening tool, the MoCA-SA,28,39 as well as appropriate cutoffs for a community sample.42–44 A sensitivity analysis utilizing both a continuous cognitive measure and multiple different cutoffs yielded similar associations with social variables (data available on request). Second, the study was cross-sectional, reducing our ability to make causal claims, particularly about whether social or cognitive changes occurred first. This will have to be addressed with future waves of NSHAP utilizing longitudinal data or other data. As has been noted elsewhere, both longitudinal and cross-sectional data have complementary strengths and weaknesses for assessing causal relationships in cognition, in large part due to the long prodromal period of cognitive impairment and a lack of information on the timing of critical early neurologic events.57 Third, the data is focused on community-dwelling, high-functioning older adults, and therefore does not assess the association of social relationships with more profound cognitive impairment. Since cognitive status likely factors into the ability to participate in a 2-h survey, the exclusion of those unable to do so further limits generalizability.

In conclusion, in a large, nationally representative sample, we found that lower cognitive scores are associated with important differences in social function. These associations sometimes vary by gender. Results inform the counseling of patients and families at risk for caregiver stress, targeted screening of older adults at risk for early cognitive loss, and identifying social vulnerabilities amenable to intervention and resources.