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Personality traits and the risk of becoming lonely in old age: A 5-year follow-up study

Health and Quality of Life Outcomes volume 18, Article number: 47 (2020) Cite this article

Abstract

Background

Although many people experience loneliness in old age, there is little knowledge of predisposing personality factors. The aim of the present study was to explore to what extent personality traits are associated with the risk of becoming lonely, in women and men aged 60–79 years at baseline.

Methods

The panel data are from The Norwegian study on Life course, Ageing and Generations (NorLAG). Our sample consisted of 516 men and 419 women aged 60–79 years, who were surveyed in both 2002–2003 (baseline) and 2007–2008 (follow-up), and who reported not being lonely at baseline. Personality traits were measured by the Big Five scale. Multivariable logistic regression analyses were used to investigate the association between a personality trait and the risk of becoming lonely, with adjustment for age, mental health and living with a partner.

Results

At follow-up 59 women and 54 men reported loneliness (14.1% vs. 10.5%, p = 0.092). Among women, high agreeableness at baseline was significantly associated with a higher risk of becoming lonely. Among men, low agreeableness, low conscientiousness and high neuroticism at baseline were significantly associated with a higher risk of becoming lonely.

Conclusions

Personality traits related differently to loneliness depending on gender. These findings may be useful when developing strategies for preventing loneliness in old age.

Background

Loneliness and isolation are parts of the experience of growing old [1]. Due to exposure to age-related changes and losses, older persons are particularly vulnerable to loneliness [2]. Examples of age-related changes and losses are the loss of a partner and friends through death, worsening health, and loss of social roles through retirement [2].

Reported prevalence of loneliness among the elderly range from 39 to 72% [3,4,5,6,7]. The considerable variation in these estimates may partly be caused by the absence of a universally accepted definition of loneliness. Thus, a range of indicators and measurement tools of loneliness are used.

Several studies have shown that loneliness in old age is strongly associated with depression, and that both loneliness and depression have serious negative effects on well-being [6, 8,9,10,11]. Further, both loneliness and depression are risk factors for early death [12, 13]. In a recent study by Holwerda et al., it was shown that loneliness and depression are important predictors of early death in older adults, and that severe depression is strongly associated with excess mortality in older men who were lonely [14]. Furthermore, they found that the combination of either emotional or social loneliness with severe depression is a lethal combination in men in the long term. Thus, health authorities should develop interventions aimed at reducing the prevalence of loneliness in old age. In this context, increased knowledge about causes of loneliness may be helpful.

Several studies have aimed to explore factors associated with loneliness in old age. In a recent review by Cohen-Mansfield et al. [15], in which 38 mainly cross-sectional studies were reviewed, the variables significantly associated with loneliness in older adults were: female gender, non-married status, older age, low income, lower educational level, living alone, low quality of social relationships, poor self-reported health, and poor functional status. Further, psychological attributes associated with loneliness included poor mental health, low self-efficacy beliefs, negative life events, and cognitive deficits.

A few studies have addressed the role of personality traits when experiencing loneliness in old age. Hensley et al. studied participants from the Georgia Centenarian Study, and found that both extraversion and neuroticism significantly predicted loneliness [16]. Bishop and Martin [17] also found that neuroticism directly affected loneliness, and further, that educational attainment indirectly affected loneliness via neuroticism. Long and Martin (2000) reported that neuroticism was positively associated with loneliness in the oldest old [18]. As far as we can see, none of the above-mentioned studies investigated women and men separately, and none of them had a longitudinal design. Thus, more research is needed on the association between personality traits and loneliness in old age, applying a gender perspective. Moreover, studies with a longitudinal design are requested [1], since they will enable an improved understanding of causal order.

Over the past 40 years, a number of surveys have shown that personality traits tend to spread over five dimensions, the so-called ‘Big Five’ [19], including the following five traits; extraversion (dominance, extraversion, outgoing), agreeableness (human friendliness, warmth), conscientiousness, neuroticism (anxious, negative emotions), and openness to experience (openness, openness to impressions).

Based on growing evidence concerning the detrimental aspects of loneliness, we aim to explore to what extent the five personality traits in the Big Five are associated with the risk of becoming lonely in old age, focusing on a gender perspective.

The aim of the present study was to explore to what extent personality traits are associated with becoming lonely, based on self-reported loneliness among women and men aged 60–79 years at baseline.

Methods

The present study is based on data from the Norwegian study of life course, ageing and generations, NorLag [20]. This is a longitudinal panel study of Norwegian individuals in mid-life and old age. The panel design of the study offers the possibility to explore the premises for vital aging and wellbeing in old age, and to contribute knowledge to a sustainable welfare policy in an aging society. The database from the study includes data from variables measuring loneliness, personality traits measured by the Big Five scale, and variables associated with loneliness.

Our sample consists of 516 men and 419 women who were surveyed in both 2002–2003 (T1) and 2007–2008 (T2), aged 60–79 years at T1, and did not report loneliness at T1. Personality traits were measured by the Big Five scale.

The big five

Several studies the last 40 years have shown that personality traits tend to distribute along five dimensions, called ‘The Big Five’ [21]. These dimensions are called “extraversion”, “agreeableness”, “conscientiousness”, “neurotism” and “openness to experience”.

In the NorLag study, a 20 items version of the Big Five scale was used [22]. These Big Five data were used in our study when studying the associations between personality traits and the risk of becoming lonely.

Loneliness

The NorLag study includes data on three questions regarding loneliness, recorded at both baseline and follow-up. The number of missing data differed markedly between these questions. We decided to base our definition of loneliness on the question ‘have you felt lonely during the last week?’, because the number of missing data was much lower for this question than for the other loneliness questions. This was thus used as dependent variable. Possible answers to this question were ‘never’, ‘seldom’, ‘sometimes’ and ‘often’. We defined that a person was lonely if he answered ‘sometimes’ or ‘often’ to this question. Thus, the dependent variable in our study is whether the person felt lonely at follow-up.

The following baseline variables were chosen to be independent variables in the present study: Big Five [22], age, gender, living with a partner (yes/no), SF-12 mental health (Short form 12 health survey) [23, 24], CES-D (Center for Epidemiologic Studies Depression scale) [25] and HSCL anxiety [26, 27].

Statistical analysis

A chi-squares test was used when comparing frequencies in two groups. Multivariable logistic regression analyses were used to investigate the associations between personality traits and the risk of becoming lonely, with adjustment for the baseline variables age, SF-12, CES-D, HSCL anxiety and living with a partner. The results are presented as odds ratios with 95% confidence intervals and p-values. The assumptions underlying logistic regression analysis were checked, and found to be adequately met in each regression model. A significance level of 5% was used. The statistical analysis was performed by using IBM-SPSS version 22.

Results

Our sample included 516 men and 419 women above 60 years, who reported not being lonely at baseline. Five years later, 54 (10.5%) of the men and 59 (14.1%) of the women reported that they felt lonely (p = 0.092). The basic variables are presented, separately for women and men, in Table 1.

Table 1 Description of the variables
Full size table

Associations between personality traits and the risk of becoming lonely, after adjustment for the baseline variables age, SF-12, CES-D, HSCL anxiety and living with a partner, are investigated separately for women and men, and the results are presented in Tables 2 and 3.

Table 2 Big Five personality traits as predictors of becoming lonely, for women*
Full size table
Table 3 Big Five personality traits as predictors of becoming lonely, for men*
Full size table

High agreeableness was associated with a higher risk of becoming lonely in women. For men, however, high agreeableness was associated with a lower risk of becoming lonely. Also, conscientiousness was associated with a lower risk of becoming lonely in men, but not in women. Furthermore, neuroticism was associated with a higher risk of becoming lonely in men, but not in women.

In the first, second and third agreeableness tertile the percentage of women becoming lonely was 9.0, 8.6 and 19.7%, respectively.

In the first, second and third agreeableness tertile the percentage of men becoming lonely was 17.2, 8.6 and 5.7%, respectively. Corresponding results for neuroticism was 5.0, 7.9 and 20.5%, and corresponding results for conscientiousness was 15.4, 9.3 and 5.6%.

Discussion

In order to explore longitudinal associations between personality traits and the risk of becoming lonely, we based our study on a representative sample of elderly people in Norway. We included participants who did not report loneliness at baseline. In this sample, 14.1% of the women and 10.5% of the men felt lonely 5 years later. Personality traits related differently to loneliness depending on gender. Among women, loneliness was associated with higher levels of agreeableness. Among men, loneliness was associated with lower levels of agreeableness, lower levels of conscientiousness, and higher levels of neuroticism.

Our findings that neurotic men became lonely more often than other men, is in accordance with gender-unspecific findings from populations of the oldest old [16, 18]. As far as we can see, no findings have been reported about the association between loneliness and agreeableness or, conscientiousness, the other two personality traits showing associations in our study. There may be several possible explanations for the associations between personality traits and loneliness. Firstly, personality traits may influence people’s ability to create or maintain friendships, family relationships or well-functioning social networks. Thus, men that are less agreeable, less conscientious, or more neurotic, may have less social contact simply because they have a lesser ability to establish and maintain social relationships. In this regard, it has, interestingly, been reported that for men, but not for women, a low level of social contacts and reduction of social contacts predicted loneliness [28].

Secondly, personality may affect people’s emotional state, including a sense of loneliness that is independent of actual social interaction. For example, women with elevated levels of agreeableness may miss people to care for, and thus feel lonely, although they are not socially isolated. This interpretation is supported by a qualitative study reporting elderly describing agonizing loneliness together with feeling less valuable [29]. In particular women expressed feeling bitter about no longer being important enough in the family, or feeling redundant and not interesting. Moreover, it has been reported that women living with a partner are more likely than men to experience children, family, and friends as sources of support [30]. Older women in Western countries seem to represent a generation in which traditional female roles were strongly tied to the home and family [31]. A loss of these roles may induce a feeling of loneliness, and probably more agreeable women are particularly exposed.

Concerning methodological considerations, it is important to realize that loneliness is related to but not equivalent to social isolation. People can be alone without feeling lonely, or experience loneliness in social settings. Data on the availability and use of different social networks would have made it easier to interpret relationships with personality traits. Further, we do not know the level of loneliness among non-responders. Thus, response bias may have affected the estimated prevalence of loneliness in the population. However, we believe that a potential response bias may primarily affect the frequency estimates of loneliness or personality traits and to a lesser extent their relationship [32, 33]. The main strength of the present study is the longitudinal design with the gender perspective.

Conclusions

Our study suggests that some personality traits are associated with the risk of becoming lonely in old age. Further, these associations differed markedly between men and women.

Loneliness is an unpleasant emotional state that is associated with lack of social integration. Its connection to increased risk of disease [15, 34, 35] or early death [36] emphasizes the importance of measures to counter loneliness in the elderly. For the aging population leaving work, it is important to have other gathering places that can strengthen connectedness and social interaction. Personality consists of relatively stable personality traits that is difficult to change. However, knowing that certain personality traits are related to loneliness later in life may increase the awareness of maintaining social relationships into old age.

Availability of data and materials

The NorLAG data are distributed by the Norwegian Social Science Data Services. Interested researchers can contact project leader Heidi Ormstad (heidi.ormstad@usn.no) with a request for the particular data set used in the present study.

Abbreviations

NorLAG:

The Norwegian study on Life course, Ageing and Generations

References

  1. 1.

    Valtorta N, Hanratty B. Loneliness, isolation and the health of older adults: do we need a new research agenda? J R Soc Med. 2012;105(12):518–22.

  2. 2.

    Fry PS, Debats DL. Self-efficacy beliefs as predictors of loneliness and psychological distress in older adults. Int J Aging Hum Dev. 2002;55(3):233–69.

  3. 3.

    Savikko N, Routasalo P, Tilvis RS, Strandberg TE, Pitkala KH. Predictors and subjective causes of loneliness in an aged population. Arch Gerontol Geriatr. 2005;41(3):223–33.

  4. 4.

    Cohen-Mansfield J, Shmotkin D, Goldberg S. Loneliness in old age: longitudinal changes and their determinants in an Israeli sample. Int Psychogeriatr. 2009;21(6):1160–70.

  5. 5.

    Victor CR, Bowling A. A longitudinal analysis of loneliness among older people in Great Britain. J Psychol. 2012;146(3):313–31.

  6. 6.

    Prieto-Flores ME, Forjaz MJ, Fernandez-Mayoralas G, Rojo-Perez F, Martinez-Martin P. Factors associated with loneliness of noninstitutionalized and institutionalized older adults. J Aging Health. 2011;23(1):177–94.

  7. 7.

    Routasalo PE, Savikko N, Tilvis RS, Strandberg TE, Pitkala KH. Social contacts and their relationship to loneliness among aged people - a population-based study. Gerontology. 2006;52(3):181–7.

  8. 8.

    Cacioppo JT, Hughes ME, Waite LJ, Hawkley LC, Thisted RA. Loneliness as a specific risk factor for depressive symptoms: cross-sectional and longitudinal analyses. Psychol Aging. 2006;21(1):140–51.

  9. 9.

    Golden J, Conroy RM, Bruce I, Denihan A, Greene E, Kirby M, et al. Loneliness, social support networks, mood and wellbeing in community-dwelling elderly. Int J Geriatr Psychiatry. 2009;24(7):694–700.

  10. 10.

    Theeke LA. Sociodemographic and health-related risks for loneliness and outcome differences by loneliness status in a sample of U.S. older adults. Res Gerontol Nurs. 2010;3(2):113–25.

  11. 11.

    Tiikkainen P, Heikkinen RL. Associations between loneliness, depressive symptoms and perceived togetherness in older people. Aging Ment Health. 2005;9(6):526–34.

  12. 12.

    Holwerda TJ, Beekman AT, Deeg DJ, Stek ML, van Tilburg TG, Visser PJ, et al. Increased risk of mortality associated with social isolation in older men: only when feeling lonely? Results from the Amsterdam study of the elderly (AMSTEL). Psychol Med. 2012;42(4):843–53.

  13. 13.

    Perissinotto CM, Stijacic Cenzer I, Covinsky KE. Loneliness in older persons: a predictor of functional decline and death. Arch Intern Med. 2012;172(14):1078–83.

  14. 14.

    Holwerda TJ, van Tilburg TG, Deeg DJ, Schutter N, Van R, Dekker J, et al. Impact of loneliness and depression on mortality: results from the longitudinal ageing study Amsterdam. Br J Psychiatry. 2016;209(2):127–34.

  15. 15.

    Cohen-Mansfield J, Hazan H, Lerman Y, Shalom V. Correlates and predictors of loneliness in older-adults: a review of quantitative results informed by qualitative insights. Int Psychogeriatr. 2016;28(4):557–76.

  16. 16.

    Hensley B, Martin P, Margrett JA, MacDonald M, Siegler IC, Poon LW, et al. Life events and personality predicting loneliness among centenarians: findings from the Georgia centenarian study. J Psychol. 2012;146(1–2):173–88.

  17. 17.

    Bishop AJ, Martin P. The indirect influence of educational attainment on loneliness among unmarried older adults. Educ Gerontol. 2007;33(10):897–917.

  18. 18.

    Long MV, Martin P. Personality, relationship closeness, and loneliness of oldest old adults and their children. J Gerontol Ser B Psychol Sci Soc Sci. 2000;55(5):P311–9.

  19. 19.

    John OP SS. The big five trait taxonomy: History, measurement, and theoretical perspectives. Handbook of personality Theory and Research New York: Guilford; 1999. p. 102–38.

  20. 20.

    Bjørshol E, Høstmark, M., & Lagerstrøm, B.O. . Livsløp, generasjon og kjønn. LOGG 2007. Dokumentasjonsrapport [Life course, generation, and gender. LOGG 2007. Documentation report]. Oslo Statistisk sentralbyra; 2010.

  21. 21.

    McCrae RR, & Costa, P. T, A five-factor theory of personality. . In: John LAPOP, editor. Handbook of personality Theory and Research. New York Guilford; 1999. p. 139–153.

  22. 22.

    Engvik H, & Føllesdal, H. "Big Five" på norsk. . Tidsskrift for Norsk Psykologforening 1993;30(9):884–96.

  23. 23.

    Ware J Jr, Kosinski M, Keller SD. A 12-item short-form health survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996;34(3):220–33.

  24. 24.

    Gandek B, Ware JE, Aaronson NK, Apolone G, Bjorner JB, Brazier JE, et al. Cross-validation of item selection and scoring for the SF-12 health survey in nine countries: results from the IQOLA project. International quality of life assessment. J Clin Epidemiol. 1998;51(11):1171–8.

  25. 25.

    Radloff LS. The CES-D scale: A self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1:385–401.

  26. 26.

    Wikholm SH, A. Helseundersøkelsen i 1995. Bergen: Dokumentasjon og frekvensfordeling; 1995.

  27. 27.

    Oum T, Falkum E, Tambs K, Vaglum P. Sosiale bakgrunnsfaktorer og psykisk helse. In: Moum T, editor. Helse i Norge Sykdom, livsstil og bruk av helsetjenester. Oslo: Gyldendal Norsk Forlag; 1985.

  28. 28.

    Dahlberg L, Andersson L, McKee KJ, Lennartsson C. Predictors of loneliness among older women and men in Sweden: A national longitudinal study. Aging Ment Health. 2015;19(5):409–17.

  29. 29.

    Hauge S, Kirkevold M. Variations in older persons' descriptions of the burden of loneliness. Scand J Caring Sci. 2012;26(3):553–60.

  30. 30.

    Okun MA, Keith VM. Effects of positive and negative social exchanges with various sources on depressive symptoms in younger and older adults. J Gerontol Ser B Psychol Sci Soc Sci. 1998;53(1):P4–20.

  31. 31.

    Swenson MM. The meaning of home to five elderly women. Health Care Women Int. 1998;19(5):381–93.

  32. 32.

    Nohr EA, Olsen J. Commentary: epidemiologists have debated representativeness for more than 40 years--has the time come to move on? Int J Epidemiol. 2013;42(4):1016–7.

  33. 33.

    Rothman KJ, Gallacher JE, Hatch EE. Why representativeness should be avoided. Int J Epidemiol. 2013;42(4):1012–4.

  34. 34.

    Petitte T, Mallow J, Barnes E, Petrone A, Barr T, Theeke L. A systematic review of loneliness and common chronic physical conditions in adults. Open Psychol J. 2015;8(Suppl 2):113–32.

  35. 35.

    Kuiper JS, Zuidersma M, Oude Voshaar RC, Zuidema SU, van den Heuvel ER, Stolk RP, et al. Social relationships and risk of dementia: A systematic review and meta-analysis of longitudinal cohort studies. Ageing Res Rev. 2015;22:39–57.

  36. 36.

    Holt-Lunstad J, Smith TB, Baker M, Harris T, Stephenson D. Loneliness and social isolation as risk factors for mortality: a meta-analytic review. Perspect Psychol Sci. 2015;10(2):227–37.

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Acknowledgements

We would like to thank the Norwegian Social Science Data Services Norwegian Centre for Research Data for giving us access to the NorLAG study data.

Funding

The NorLAG is financed by the Research Council of Norway (grant nos. 149564 and 168373), Ministry of Health and Care Services; Ministry of Labour; Ministry of Children, Equality and Social Inclusion; Ministry of Local Government and Regional Development; Norwegian Social Research (NOVA); and Statistics Norway. The NorLAG and LOGG data sets are part of the ACCESS Life Course infrastructure project funded by the National Financing Initiative for Research Infrastructure at the Research Council of Norway (grant no. 195403) and by NOVA. The data are distributed by the Norwegian Social Science Data Services. None of the aforementioned institutions are responsible for the current analyses and interpretations of the data.

Author information

Affiliations

  1. Faculty of Health and Social Sciences, University of South-Eastern Norway, P.O. Box 7053, NO-3007, Drammen, Norway
    • Heidi Ormstad
    • , Grethe Eilertsen
    •  & Leiv Sandvik
  2. Norwegian Center for Violence and Traumatic Stress Studies, Oslo, Norway
    • Trond Heir
  3. Institute of Clinical Medicine, University of Oslo, Oslo, Norway
    • Trond Heir
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Contributions

HO contributed to study conception, study design, interpretation, writing of the article, and format editing. GE contributed to interpretation, writing of the article, and final approval of the article. TH contributed to interpretation, writing of the article, and final approval of the article. LS contributed to study design, data analysis, interpretation, writing of the article, and final approval of the article.

Corresponding author

Correspondence to Heidi Ormstad.

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Ethics approval and consent to participate

All information about the participants in this study was obtained by Norwegian Social Science Data Services, in accordance with constitutional rules. Informed consent had been given by each respondent. All information was pseudonymised and later anonymized by Norwegian Social Science Data Services. The anonymized data material is available to researchers who provide a methodologically sound proposal in accordance with the informed consent of the respondents.

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Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Ormstad, H., Eilertsen, G., Heir, T. et al. Personality traits and the risk of becoming lonely in old age: A 5-year follow-up study. Health Qual Life Outcomes 18, 47 (2020). https://doi.org/10.1186/s12955-020-01303-5

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Keywords

  • Gender perspective
  • Loneliness
  • Longitudinal study
  • Personality traits

Health and Quality of Life Outcomes

ISSN: 1477-7525

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