Abstract
Objective
The COVID-19 outbreak and associated physical distancing measures altered the social world for most older adults, but people who live alone may have been disproportionately affected. The current study examined how living alone was associated with daily social contact and emotional well-being among older adults during the pandemic.
Method
Adults (N = 226) aged 69+ completed a brief survey assessing their living situation, social contact with different social partners (in person, by phone, electronically), and emotions during the morning, afternoon, and evening the prior day.
Results
Older adults who live alone were less likely to see others in person or to receive or provide help. Living alone was associated with more positive emotions concurrent with in-person contact. In contrast, phone contact was associated with higher levels of negative affect among those living alone, but not among those who live with others. Older adults who live alone were more likely to have contact with friends (rather than family).
Discussion
Findings suggest older adults who live alone may be more reactive to social contact during the COVID-19 outbreak than older adults who reside with others. In-person contact may confer distinct benefits not available via telephone contact, suggesting that possible interventions during the pandemic may work best with safe forms of in-person contact, possibly with nonfamily members.
Keywords: COVID-19, Loneliness, Social isolation, Social support, Stay at home order
In spring 2020, to curtail the spread of COVID-19, public health initiatives encouraged limiting face-to-face contact, maintaining a distance of 6 feet from others, and remaining at home as much as possible. Older adults who live alone may have experienced greater isolation during the pandemic than older adults living with others (Armitage & Nellums, 2020). Approximately 34% of women and 21% of men aged 60+ in the United States live alone (Ausubel, 2020) and are at heightened risk factor of social isolation (Klinenberg, 2016).
Living with social partners, by definition, affords more in-person contact, and in-person contact may have advantages over other modalities of contact (e.g., telephone, text, social media). For example, a national study found that among older adults, in-person contact was associated with lower levels of depression, but this was not the case for telephone or electronic contact (Teo et al., 2015). Furthermore, nearly a third of older adults lack access to the internet (Armitage & Nellums, 2020; Fingerman, Birditt, et al., 2020; Hülür & Macdonald, 2020) and depend on in-person or phone contact.
The Current Study
The current study examines how daily positive and negative emotions vary based on whether people live alone during the pandemic. Analysis of Twitter feeds at the outset of the pandemic revealed increased mention of gratitude (e.g., for good health, job), though negative emotions were still heavily present (Lwin et al., 2020). In general, older adults seem to report less stress and negative emotion than younger adults during the pandemic (Birditt et al., in press).
It is not clear whether social distancing practices influence levels of loneliness. A study conducted at the start of the pandemic in the United States found that older adults listed lack of social contact as their biggest challenge due to the pandemic (Heid et al., 2020). Another study, however, including a U.S. national longitudinal sample that was conducted prior to and during the early phases of the pandemic found that older adults living alone reported more loneliness than older adults living with others in February 2020, but no increase in loneliness during the stay-at-home orders (Luchetti et al., 2020). Likewise, a large study examined daily loneliness using an internet survey during the initial COVID outbreak in Germany, and found that older adults reported less loneliness than younger adults. Importantly, that study found no association between number of household members and loneliness, though it is not clear whether living alone might pose special risks in late life (Buecker et al., in press). As such, it is worth considering the role of social contact among older adults who live alone.
Individuals who live alone must engage with social partners outside their household to see others in person. Married individuals most likely have in-person contact with a spouse, but widowed, divorced, or never married individuals are more likely to live alone (Cudjoe et al., 2020). Those who live alone may seek contact with grown children, siblings, friends, or others.
We included covariates that might shape these experiences, including race, gender, and education (Carr, 2019). Black and Hispanic adults are disproportionately affected by COVID-19 (Hooper et al., 2020), and are less likely to live alone than are non-Hispanic White older adults (Cudjoe et al., 2020). Likewise, older adults in poorer health have higher risk of contracting COVID-19 (Cohen, 2020; Lian et al., 2020), and may avoid other people. We included feeling depressed in general, given associations between daily affect and mental health (Charles et al., 2013). In addition, social activity and negative affect may vary throughout the day, with social contact peaking in the afternoon among older adults (Tucker et al., 2012).
Method
Data collection occurred during May and June 2020. Participants (N = 226; Mage= 77.28 years, SD = 6.23) in the Austin area had previously participated in the Daily Experiences and Well-being Study (DEWS) in 2016 (Fingerman, Huo, et al., 2020). We used prior contact information for the participants; if participants could not be reached, we contacted a social partner (for whom information was provided at Wave 1) to help us reach the participant). We attempted to reach participants by phone, letter, or email (if email address was available). Loss of original participants reflected: lack of contact information (n = 21), deceased (n = 13), monolingual Spanish (n = 8), illness or crisis (n = 6), and cognitive impairment (n = 4). Response rate was 80% of eligible participants (n = 226 out of 281). Participants (N = 226) differed from the 2016 who did not participate (n = 107) with regard to being: younger (t = −3.41, p < .001), better educated (t = 4.39, p < .001), healthier (t = 4.73, p < .001), and less likely to be racial or ethnic minorities (χ 2 = 22.52, p < .001). Participants received $15 gift cards for completing the study. To recruit a few remaining participants at the end of the study, we increased incentive to $30 with IRB permission.
Measures
Background characteristics
Several demographic variables were gathered in Wave 1: age (+4 years = approximate current age); gender: 1 (male) and 0 (female); education: 1 (no formal education) to 8 (advanced degree); and ethnic and racial identities: 1 (ethnic or racial minority) and 0 (non-Hispanic White). We did not include data from 2016 regarding sociability, daily experiences, or well-being for two reasons: (a) the 4-year gap precludes understanding baseline well-being immediately prior to the COVID-19 outbreak, and (b) methods of data collection were different at the two waves. In 2016, we collected reports of social contacts and well-being every 3 hr throughout the day. This was not possible during the pandemic, and we relied on survey methodology of morning, afternoon, and evening the prior day; surveys were completed by phone, the internet, or paper and pencil.
In the current data collection, participants rated their physical health from 1 (poor) to 5 (excellent; Ware & Sherbourne, 1992). Marital status of nine participants had changed since 2016 (i.e., eight widowed one divorced). Being married was highly correlated with living with others (r = .78, p < .001); we did not examine marital status separately. Ten participants indicated their living situation had changed since the pandemic started. Current living situation was coded 1 (alone) and 0 (with other).
COVID-19 experiences
Participants reported COVID experiences: symptoms (e.g., fever, shortness of breath), loved one had COVID-19, financial circumstances worse, and whether they socially distanced, 1 (yes) or 0 (no). Participants also indicated changes in contact with (a) family members and (b) friends, neighbors, and acquaintances since the pandemic started.
Daily experiences
Research using the Day Reconstruction Method (DRM) has shown adults accurately report experiences from the prior day (Kahneman et al., 2004; Oerlemans et al., 2011). To prevent fatigue, we asked questions about three broad periods: morning (waking until noon), afternoon (noon until 5 pm), and evening (5 pm until bedtime).
Social engagement
For each time period, participants indicated whether they engaged with social partners: (a) in person, (b) via phone, and (c) electronically, and if so, with whom. They also indicated 1 (yes) or 0 (no) whether they provided or received help from another person.
Emotions
Participants rated five emotions, 1 (not at all) to 5 (a great deal), at each time period (morning, afternoon, and evening), generating a subscale for positive emotions, gratitude and contentment (α = .71), and negative emotions, loneliness, sadness, and stress (α = .70).
Results
Descriptive and Bivariate Statistics
Eighty-one older adults lived alone, and 145 lived with spouse/romantic partner only (n = 95), grown child only (n = 21), or spouse and others (e.g., grown child, grandchild, or other; n = 29). Only 5% of the sample had experienced symptoms of COVID. Socially, 83% self-isolated, but 95% reported they had necessary support during the outbreak. Most participants reported contact with family was about the same or more frequent, but living alone was associated with increased contact with friends and acquaintances (χ 2 (2) = 4.19, p < .05; Table 1).
Table 1.
Background Characteristics and Social Experiences of Older Adults Who Live Alone or With Others
| Lives alone (n = 81) | Lives with others (n = 145) | ||||
|---|---|---|---|---|---|
| Mean/proportion | SD | Mean/proportion | SD | Significant differences | |
| Age | 78.27 | 6.18 | 76.73 | 6.21 | |
| Educationa | 6.19 | 1.52 | 6.10 | 1.38 | |
| Healthb | 3.48 | 0.98 | 3.41 | 0.96 | |
| Life satisfactionc | 7.33 | 1.88 | 7.25 | 2.03 | |
| Loneliness past weekd | 1.43 | 0.54 | 1.31 | 0.41 | |
| Depression past weeke | 1.33 | 0.57 | 1.24 | 0.46 | |
| Female | 0.77 | – | 0.43 | – | χ 2 (1) = 23.95*** |
| Married | 0.04 | – | 0.85 | – | χ 2 (1) = 136.02*** |
| Racial/ethnic minority | 0.17 | – | 0.28 | – | |
| Change in social contacts since March | |||||
| With family | |||||
| Less than before | 0.05 | – | 0.08 | – | |
| Same as before | 0.63 | – | 0.62 | – | |
| More than before | 0.32 | – | 0.30 | – | |
| With friends, acquaintances neighbors | χ 2 (2) = 4.19* | ||||
| Less than before | 0.28 | – | 0.38 | – | |
| Same as before | 0.44 | – | 0.46 | – | |
| More than before | 0.27 | – | 0.16 | – | |
| Social experiences in the afternoon | |||||
| In-person contact | 0.62 | – | 0.90 | – | t (218) = −4.70*** |
| Contact by phone | 0.67 | – | 0.67 | – | |
| Electronic communication | 0.51 | – | 0.65 | – | t (220) = −2.12* |
| Provided help | 0.11 | – | 0.27 | – | t (222) = −3.21** |
| Received help | 0.14 | – | 0.29 | – | t (220) = −2.86** |
| Emotions in the afternoon | |||||
| Positive emotion subscalef | 3.86 | 1.05 | 3.91 | 0.90 | |
| Gratitude | 3.96 | 1.21 | 3.92 | 1.09 | |
| Contentment | 3.77 | 1.13 | 3.90 | 0.98 | |
| Negative emotion subscaleg | 1.49 | 0.63 | 1.38 | 0.63 | |
| Loneliness | 1.46 | 0.82 | 1.23 | 0.58 | t (220) = 2.17* |
| Sadness | 1.38 | 0.70 | 1.41 | 0.80 | |
| Stress | 1.59 | 0.92 | 1.51 | 0.83 | |
Notes: a 1 (no formal education), 2 (elementary school), 3 (some high school), 4 (high school), 5 (some college/vocational school), 6 (college graduate), 7 (post college), and 8 (advanced degree). b 1 (poor) to 5 (excellent). c 1 (not at all satisfied) to 10 (completely satisfied). d Average of three items rated 1 (hardly ever), 2 (some of the time), and 3 (often). e 1 (hardly ever), 2 (some of the time), and 3 (often) f Average of gratitude and contentment,1 (not at all) to 5 (a great deal). g Average of loneliness, sadness, and stress, 1 (not at all) to 5 (a great deal).
*p < .05. ** p < .01. *** p < .001.
Bivariate comparisons revealed that older adults who live alone were less likely to see social partners in person, to provide help throughout the day, less likely to receive help in the afternoon or evening, or communicate electronically in the afternoon (Supplementary Table 1).
Residential Status, Social Encounters, and Emotional Experiences
We asked whether social encounters throughout the day exert a greater effect on emotional well-being among older adults who live alone. Regressions included main effects and interaction terms for Living arrangement × Mode of contact at each period of the day as well as covariates. Findings were similar at different times of day; for parsimony, we present significant models using afternoon data (Supplementary Table 1).
The interaction terms for in-person contact and telephone contact were significant. When participants reported in-person encounters, mean positive affect was similar regardless of living status. Simple slope analyses revealed individuals who live alone experienced more positive emotions (contentment, gratitude) when they saw someone in person than people who did not have in-person contact (Table 2).
Table 2.
Linear Regressions Predicting Emotion Subscales in the Afternoon From Participants’ Living Situation: Social Contacts as Moderators
| Positive emotionsa | Negative emotionsb | |||
|---|---|---|---|---|
| Parameter | B | SE | B | SE |
| Intercept | 2.01* | 0.82 | 1.11* | 0.44 |
| Live alonec | −0.53 | 0.28 | −0.23 | 0.12 |
| In-person contactd | 0.06 | 0.25 | – | – |
| Live alonec × In-person contactd | 0.82** | 0.31 | – | – |
| Phone contactd | – | – | −0.01 | 0.08 |
| Live alonec × Phone contactd | – | – | 0.41** | 0.14 |
| Covariates | ||||
| Gendere | −0.23 | 0.12 | −0.09 | 0.07 |
| Age | 0.01 | 0.01 | −0.00 | 0.01 |
| Educationf | 0.09 | 0.04 | −0.02 | 0.02 |
| Minority statusg | 0.59*** | 0.15 | −0.05 | 0.08 |
| Healthh | 0.25*** | 0.07 | −0.00 | 0.04 |
| Depressioni | −0.35** | 0.12 | 0.64*** | 0.06 |
| F | 8.37*** | 15.48*** | ||
| Adjusted R2 | .26 | .38 | ||
Notes: Participant reports on contact and afternoon emotions n = 226.
a Average of gratitude and contentment, 1 (not at all) to 5 (a great deal). b Average of loneliness, sadness, and stress, 1 (not at all) to 5 (a great deal). c Live alone 1 (yes) and 0 (no). dAny contact 1 (yes) and 0 (no). e 1 (male) and 0 (female). f 1 (no formal education) to 8 (advanced degree). g 1 (racial or ethnic minority) and 0 (non-Hispanic White). h 1 (poor), 2 (fair), 3 (good), 4 (very good), and 5 (excellent). i 1 (hardly ever), 2 (some of the time), and 3 (often).
*p < .05. **p < .01. ***p < .001.
Phone contact was not associated with positive affect. Individuals who live alone experienced more negative emotions (loneliness, sadness, and stress) when they talked to someone on the phone compared to people (a) who lived alone but did not talk with others on the phone or (b) who live with others regardless of phone contact (see Figure 1).
Figure 1.
Living situation and social contact predicting positive and negative emotions in the afternoon.
We repeated analyses for each type of emotion separately (contentment, gratitude, loneliness, sadness, and stress). Findings were significant for contentment and gratitude, indicating that positive emotions broadly may increase after in-person contact. But only loneliness was significant among negative emotions (Supplementary Table 3).
We also considered the types of social partners with whom older adults had contact (Supplementary Table 2). Unsurprisingly, older adults who lived with others were more likely to see a spouse in person (.04 live alone and .78 lives with others, t = −15.79, p <. 001). But those who lived alone were more likely to see a friend (.31 live alone and .08 with others, t = 3.27, p <. 01) or service provider (.21 live alone and .07 with others, t = 2.18, p <. 05). Likewise, we observed differences in telephone contact. Older adults who lived alone were less likely to talk with a sibling (.04 live alone and .15 with others, t = −2.47, p <. 05), but more likely to talk with a friend (.70 live alone and .40 with others, t = 3.68, p <. 01).
Discussion
Social distancing may have placed older adults who live alone at increased risk for lower levels of well-being (Brooke & Jackson, 2020; Klinenberg, 2016). This study assessed this risk in a community-dwelling sample in daily life. Consistent with national data, two-thirds of participants resided with other people, usually with spouses and grown children (Ausubel, 2020), and 5% had experienced symptoms of COVID-19. Compared to those living with others, older adults living alone reported less in-person contact, but contrary to expectations they did not report more time on the phone or electronic communication.
Overall, findings suggest that in-person contact is important for older adults’ positive emotional well-being, particularly for those who live alone. In addition, physical presence appears to confer key benefits (Teo et al., 2015), as telephone contact did not increase positive affect. In fact, telephone contact among those who lived alone was associated with higher levels of negative affect, and specifically with loneliness. Talking to others by phone may remind people of their feelings of being alone during the pandemic. It is not clear whether this effect was evident prior to the COVID-19 outbreak, when phone contact might have supplemented (rather than substituted) for in-person contact. Nor do we know whether electronic contact (e.g., videoconferencing) might mitigate effects of social isolation, and many older adults continue to lack access or ability to use internet communications (Xie et al., 2020).
Notably, friends play an important role for older adults who live alone. These older adults reported increased contact with friends since the start of the outbreak, and had more in-person and more telephone contact with friends than did older adults who live with others. We had anticipated that older adults who live alone (e.g., widows, divorced) might also have increased contact with grown children or siblings, but those who lived with others talked more often with their siblings. This study is consistent with prior research that has found contact with friends improves daily well-being (Ng et al., 2021). Here, that was true for in-person contact among older adults who live alone.
These findings, however intriguing, have limitations. We did not compare how the same person experienced being alone, with others, and in telephone communication across a broader timespan. Moreover, we could not compare experiences before and after the COVID-19 outbreak. A national study reported that adults who live alone were lonelier than those who live with others before the U.S. pandemic, but did not increase in loneliness during the pandemic (Luchetti et al., 2020). Those findings suggest these patterns may not be unique to social distancing.
Despite these limitations, findings reinforce the importance of social partners for daily well-being. Further, the study suggests that in-person contact may confer unique benefits to positive emotional well-being and technologically mediated communication cannot replace the physical presence of others.
Supplementary Material
Supplementary data are available at The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences online.
Supplementary Table 1. Participants’ reported social experiences and emotions at different times of day.
Supplementary Table 2. Types of social partners with whom participants had in person or phone contact in the afternoon.
Supplementary Table 3. Significant linear regressions predicting individual emotions in the afternoon from participants’ living situation: social encounters as moderators.
Funding
This study was supported by grants R01AG046460 and P30AG066614 from the National Institute on Aging (NIA) and grant P2CHD042849 awarded to the Population Research Center (PRC) at The University of Texas at Austin by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD).
Conflict of Interest
None declared.
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