Background: Non-married persons are known to have poor mental health compared with married persons. Health differences between marital status groups may largely arise from corresponding differences in interpersonal social bonds. However, official marital status mirrors the social reality of persons to a decreasing extent, and living arrangements may be a better measure of social bonds. Little is known about mental health in different living arrangement groups. This study aims to establish the extent and determinants of mental health differences by living arrangement in terms of psychological distress (GHQ) and DSM-IV psychiatric disorders (CIDI).
Methods: Data were used from the nationally representative cross sectional health 2000 survey, conducted in 2000–1 in Finland. Altogether 4685 participants (80%) aged 30–64 years were included in these analyses; comprehensive information was available on measures of mental health and living arrangements. Living arrangements were measured as follows: married, cohabiting, living with other(s) than a partner, and living alone.
Results: Compared with the married, persons living alone and those living with other(s) than a partner were approximately twice as likely to have anxiety or depressive disorders. Cohabiters did not differ from the married. In men, psychological distress was similarly associated with living arrangements. Unemployment, lack of social support, and alcohol consumption attenuated the excess psychological distress and psychiatric morbidity of persons living alone and of those living with other(s) than a partner by about 10%–50% each.
Conclusions: Living arrangements are strongly associated with mental health, particularly among men. Information on living arrangements, social support, unemployment, and alcohol use may facilitate early stage recognition of poor mental health in primary health care.
- living arrangements
- marital status
- psychological distress
- psychiatric disorders
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Variations in mortality and morbidity according to marital status have been widely reported, the married being in the most advantageous and the divorced in the most disadvantaged position.1–3 Regarding mental health differences, the divorced have the highest rates of psychological distress,4,5 and all non-married groups have higher prevalences of depressive disorders and anxiety disorders compared with their married counterparts.6–9 In mental health, as in other aspects of ill health, the differences according to marital status are particularly pronounced in men.5,10
Mortality11–13 and morbidity2,14 are known to vary according to living arrangements independently of official marital status. Marital status mirrors the social reality and living arrangements of persons to a decreasing extent. For example, in Finland the proportion of cohabiters of all persons aged 15 to 64 living in union has increased from 10% in 1981 to 25% in 2000.15 Therefore, compared with official marital status, living arrangements may be a better indicator of real life social bonds. However, marital status should be taken into account in classification of living arrangements because marriage may represent stronger commitments to another person than cohabitation does.16,37 From the perspective of social bonds, living with someone else than a partner (that is, any “proximate other”), be it one’s children, parent(s) or friend(s), may provide more daily social interaction than living alone, and should therefore be looked at as a separate class.
Less is known about the association between living arrangements and mental health. Cohabiting has been found to associate with psychological distress18 and depressive symptoms,17,37 but not with depressive disorders.7,29 Single parents have more psychological distress10 and psychiatric morbidity,6,19,20 and persons living alone, with parent(s) or with other(s) than a partner have high prevalences of psychiatric disorders compared with persons living with a partner.19 Living alone associates with high levels of psychological distress10 and depressive symptoms.21,22
The social environment in childhood,20,23,24 education,25 employment status,6–8,10,25–27 number of children,6 urbanisation,7,28 level of social support,10,20,27,29 health behaviour,5,7 and gender6 are associated with mental health. These factors also tend to be connected with marital status and living arrangements,14,30 and therefore they may explain, mediate, or modify the association between mental health and living arrangements. We will consider the assumed causal order of the variables in interpreting their effects on the association between living arrangements and mental health. We hypothesise that adversities in childhood, education, and urbanisation usually precede both living arrangements and mental health problems and they may therefore partly explain the association between these two variables. Moreover, we hypothesise the level of social support to mediate the impact of living arrangements on mental health. Employment status, number of children, and health behaviour are expected to have a corresponding mediating role, but they also have other kinds of connections with the association between living arrangements and mental health, as these factors are known to affect both mental health and living arrangements and vice versa.3,5,6,14,20,29 In addition, gender may modify the associations. We present a simple model outlining the principal associations between these factors. Nevertheless, all these associations are likely to be reciprocal to some extent (fig 1).
The purpose of this study was to find out whether there are mental health differences by living arrangement in the middle aged Finnish population in terms of psychological distress and psychiatric disorders. The second aim was to investigate whether living arrangement groups vary in terms of factors known to associate with poor mental health, and whether these variations contribute to living arrangement differences in mental health.
We used data from the health 2000 survey, a nationally representative cross sectional study conducted in 2000–01 in Finland.4 The data were collected by computer aided interviews, self administered questionnaires, and a health examination, which included a structured mental health interview (CIDI). Our study concerned subjects aged 30 to 64, and in this age range the sample included 5871 subjects, of whom 4706 (80%) were interviewed with the CIDI. We excluded 21 persons with missing information on marital status or household size, and our final study population of 4685 people (2225 men, 2460 women) included 79.8% of the sample. For the analyses on the general health questionnaire (GHQ), 47 subjects were excluded because of missing or non-valid data on the GHQ. Data on all variables included in the analyses were available for 4338 subjects (74%).
We classified living arrangements into four groups: married, cohabiting, living with other(s) than a partner, and living alone. Of men living with other(s) than a partner, 34% lived in households with children aged less than 18 years, 58% were single, and 33% were divorced or separated. Regarding women living with other(s) than a partner, 79% lived in households with children and 62% were divorced. Thus most of the women in this group seemed to be single parents, while those living with their parents or in communes constituted a minority.
Mental health measures
The CIDI is a fully structured mental health interview that enables the assessment of 12 month prevalences of mental disorders according to the DSM-IV.31 We used a Finnish translation of the German, computerised version of the CIDI (M-CIDI).32 We grouped the DSM-IV diagnoses into two overlapping categories. “Any depressive disorder” included major depressive disorder or dysthymic disorder, and “any anxiety disorder” included panic disorder, social phobia, agoraphobia, or generalised anxiety disorder.
We measured psychological distress using the 12 item version of the GHQ.33,34 It is a self report instrument including questions on current symptoms of depression, anxiety, sleep disturbance, and social functioning. The total score (range 0–12) was accepted only with 10 or more valid items. We dichotomised responses and set the caseness threshold between 3 and 4 GHQ points.
Adversities in childhood
Family structure was based on the question “when starting school (that is, when you were about 7 years old), did you live…” followed by four response alternatives “at home with both your parents”, “with only one parent”, “with relatives such as grandparents”, and “in an orphanage or other institution”. The last three alternatives were classified as “not living with both parents”.
Parental adversities were based on the question: “When you think about your growth years—that is, before you were aged 16…?” followed by a list of 11 adversities. We assessed questions on parents’ divorce, serious conflicts within the family, father’s/mother’s drinking problems, and father’s/mother’s mental problems. “Parental adversity” was defined as reporting ⩾1 adversity.
Education was classified as basic (no matriculation examination and at most a vocational course or on the job training), intermediate or higher education (university qualification). In these classes, the average number of years of full time education was 8.7 years (SD 1.65), 12.8 years (SD 2.60), and 17.9 years (SD 2.77), respectively. Unemployment was defined as being currently unemployed or laid off. Urbanisation level was classified as (1) urban ( = 10 largest cities), (2) other urban or semi-urban, and (3) rural municipalities. Subjects reporting ⩾1 child were defined as having children.
We conceptualised social support as emotional and practical help from others and social contacts.35 Availability of help from others was asked using the following questions: “Who do you think really cares about you no matter what happened to you?” and “From whom do you get practical help when needed?”. Several alternatives could be chosen: spouse/partner; other relative; friend; fellow worker; neighbour; no one. The categories “⩾2 persons”, “1 person” and “no one” were constructed from the total score.
Subjects were asked how often they visit family, friends, or neighbours, and how often these visit the subject. Social contacts were classified as “rare” if subjects answered “once or few times a year” or “less frequently or never” to either question.
Smoking status was classified as (1) never smoked regularly, (2) former regular smoker, or (3) current occasional smoker or current regular smoker of cigarettes, tobacco, or pipe. Exercise was recorded by asking the following question: “How much do you exercise and strain yourself physically in your leisure time?” Subjects who chose the alternative reflecting least exercise were classified as “no exercise”. Alcohol consumption was recorded by asking separately about consumption of beer, wine, and spirits during the past month. For men, we used the categories of “no alcohol”, “1–23 portions/week”, and “⩾24 portions/week”, and for women “no alcohol”, “1–15 portions/week” and “⩾16 portions/week”, according to the recommended classification of excess alcohol use in Finland.36
The analyses were carried out with the survey procedures of Stata (version 8.0), which take the sampling design into account (StataCorp, College Station, 2003). The age adjusted distributions of the explaining or mediating variables according to living arrangements and the prevalence of the mental health problems by these variables are presented in tables 1 and 2.
The variation in the prevalence of mental health problems by living arrangements was analysed with logistic regression, adjusting for age and the potential explaining or mediating variables first separately or in sets and finally all of them simultaneously (tables 3–5). Only variables that were associated with both living arrangements and mental health measures among either gender were considered (p<0.1). Interactions between living arrangements and all the other independent variables were examined by including interaction terms in the logistic models. As a significant interaction was found between gender and living arrangements in the case of psychological distress (p<0.05), all results are shown separately for men and women. The results are presented as odds ratios with 95% confidence intervals.
The percentage change in the association between living arrangements and mental health after adjusting for a specific variable was calculated as 100×(OR(base model)−OR(base model+variable))/(OR(base model)−1).
The association between risk factors for mental health problems and living arrangements varied according to gender, but education, urbanisation, unemployment, having children, emotional and practical help from others, and smoking had significant associations in men and women (p<0.05) (table 1). Women had a higher prevalence of psychological distress (GHQ⩾4) and depressive and anxiety disorders than men (table 2). Living arrangement associated with all mental health measures except for psychological distress in women (p value 0.22). Unemployment, emotional and practical help from others and social contacts associated with all mental health measures in men and women. Current smokers had anxiety disorders more often than never and former smokers did. Education only associated with anxiety disorder in men. Family structure in childhood associated with poor mental health only in women. Urbanisation did not associate with any mental health measure, whereas sedentary life style associated with increased risk of psychological distress and depressive disorders.
Compared with married persons, persons living alone and those living with other(s) than a partner had high odds for depressive and anxiety disorders, with stronger associations in men (tables 3 and 4). The excess anxiety disorders in men living with other(s) than a partner did not reach statistical significance. Adjusting for unemployment reduced the excess morbidity by about 10%–50%, lack of social support by 10%–40%, and adverse health behaviour by 10%–35%. Adjusting for childhood adversities and education only had a very modest effect on the association between living arrangements and psychiatric morbidity, the only pronounced exception being the fact that childhood adversities accounted for 15% of the excess prevalence of depressive disorders among women living alone. Adjusting for all variables reduced the excess morbidity by about 50%–65% in men, but only about 10%–35% in women. Excess depressive disorders in men and women living alone and in women living with other(s) than a partner remained statistically significant, whereas odds for anxiety disorders remained significantly increased in men living alone and in women living with other(s) than a partner. In both sexes, education showed an interaction with living arrangements in the case of anxiety disorders (p<0.001). This interaction emerged from the fact that no anxiety cases were found in the small group of highly educated persons living with other(s) than a partner.
In women, the prevalence of psychological distress did not vary according to living arrangements, but among men, those living alone and those living with other(s) than a partner had excess psychological distress (table 5). After adjustment, the differences were no longer statistically significant. Unemployment, lack of social support, as well as alcohol consumption reduced the odds by about 20%–30% each. Among men, a significant interaction (p<0.05) was found between living arrangements and having children: living alone was associated with an increased risk of psychological distress only among those who had children.
In women, cohabiters had slightly higher odds for poor mental health, compared with the married, in terms of all measures of mental health, whereas cohabiting men had somewhat lower odds. However, these differences were not statistically significant.
This study provides new information on the mental health of the growing population of non-married persons in different living arrangements. Our dataset offers excellent opportunities for assessing the mental health of the Finnish population, as an array of background variables and reliable mental health measures were available.4 In our data, living arrangements were strongly associated with mental health. Compared with married persons, persons living alone and persons living with other(s) than a partner had high odds for psychological distress and psychiatric disorders, with stronger associations in men. Unemployment, lack of social support, as well as alcohol consumption attenuated the excess poor mental health of persons living alone and of those living with other(s) than a partner by about 10%–50% each, with greater effects in men.
What is already known on this topic
Non-married persons are known to have poor mental health compared with married persons
In line with previous studies, we found persons living alone to be disadvantaged by all mental health measures. Depressive and anxiety disorders,19 high GHQ scores,10 and depressive symptoms21,22 have been found to associate with living alone. Supporting our study, the associations have been stronger in men.21 Longitudinal studies are needed to find out the importance of two plausible but opposite causal pathways: persons with poor mental health being selected into living alone, and living alone causing poor mental health.
We did not find cohabiters to differ significantly from married persons. Some previous studies have reported that cohabiters have high levels of depressive and other psychological symptoms compared with the married,18,37 whereas significant differences have not been found in depressive disorders.7,29 Further work is needed on the mental health of the growing proportion of cohabiters.15
Persons living with other(s) than a partner had high odds for poor mental health. After adjustment, the probability of psychiatric disorders in women remained significantly increased. Previous studies indirectly support ours, as depressive disorders6,19,20 and anxiety disorders19 have been common in single parents.
What this paper adds
Living arrangements are strongly associated with mental health, particularly among men.
Part of these differences are accounted for by differences in social support, unemployment, and alcohol consumption.
Factors contributing to living arrangement differences in mental health
Childhood adversities were only weakly associated with living arrangements, and the level of education and urbanisation were not strongly connected with mental health. Consequently, these factors did not contribute to the high prevalence of mental disorders among persons who do not live with a partner. The only noticeable exception to this general finding was that childhood adversities accounted for a part of the excess prevalence of depressive disorders among women living alone.
The level of social support seemed to be a strong mediator of the impact of living arrangements on mental health. Not receiving practical or emotional help from anyone was most common in men and women living alone, and correspondingly, adjusting for social support reduced their excess mental health problems by about 20%–40%. The association between social support and mental health problems, particularly depression, may partly result from the impact of depression on one’s self perception of social support. There is, however, also evidence based on longitudinal studies on the effect of social support on the risk of depression.38
Adjusting for unemployment attenuated the excess depressive and anxiety disorders in men living alone by 17%–33%, but it had very little effect on the psychiatric morbidity of women living alone. This is attributable to the small difference in the unemployment rate between married women and women living alone as well as the weaker association between unemployment and mental disorders among women than among men.
The number of children was not connected with the excess mental disorders among persons not living in a partnership, because having children was only weakly associated with mental disorders. Regarding psychological distress in men, a plausible explanation for the interaction between living alone and having children is that most (78%) of the men who lived alone but had children were divorced, and divorce has been shown to be associated with increased psychological distress.5,18
Health behaviours contributed to the associations between living arrangements and mental health. Of men and women living alone, 43% and 26%, respectively, were current smokers, and in separate analyses adjusting for current smoking attenuated their excess anxiety disorders by about 15%–20%. Moreover, excess alcohol consumption by men living alone contributed to their poor mental health by about 10%–30%.
Among the participants of the health 2000 survey, a considerable proportion of those not reliably interviewed with the CIDI suffered from psychological symptoms as measured by the Beck depression inventory and the GHQ.32 Among drop outs, there was an excess of persons living alone and of those living with other(s) than a partner.39 Thus, our results may underestimate differences in mental health between living arrangement groups.
In primary health care, early stage recognition of poor mental health may be more successful with better information of people’s immediate living arrangements.
Targeting of interventions—such as social support groups—to those in disadvantaged living arrangements (for example, bereaved persons, divorced persons, and persons living alone) may increase their effectiveness.
In our sample, high GHQ scores associated strongly with depressive (OR 9.89, 7.73 to 12.65) and anxiety disorders (OR 8.54, 6.24 to 11.69). GHQ is a screening instrument that also detects subjects with current symptoms of diagnostically sub-threshold disorders, whereas the CIDI application used in this study recognises full fledged DSM-IV disorders. Mental health differences by living arrangements seemed to be smaller in psychological distress than in psychiatric disorders. In addition to differences in the severity of symptoms detected, this finding may be related to the different timeframe of the measures used; the CIDI measures 12 month prevalences, whereas the GHQ measures current psychological distress.
The cross sectional nature of our data did not enable the actual testing of the assumed causal ordering of the variables. Longitudinal data are needed to assess the complex associations between mental health, living arrangements, and associated factors. Moreover, a considerable part of the differences remained even after adjusting for all our variables. Thus, important explaining or mediating variables were not taken into account; such factors might include genetic risk factors40; traumatic life events or personality traits.24
Living arrangements are strongly associated with mental health, particularly among men. Part of these differences is associated with differences in social support, unemployment, and alcohol consumption. Previous studies on the efficacy of primary prevention programmes provide substantial evidence that depressive symptoms can be reduced.41 Our findings may be helpful in developing targeted prevention strategies to reduce mental health problems by locating population groups at particularly high risk, and by understanding the causes of these increased risks. In primary health care, early stage recognition and intervention on poor mental health may be more successful with better information of people’s immediate living arrangements.
Funding: this work was funded by a grant from the Academy of Finland (No.203418), and a fellowship and a grant to Pekka Martikainen (70631, 210752).
Competing interest: none declared.
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