- Research article
- Open Access
Associations between perceived stress, socioeconomic status, and health-risk behaviour in deprived neighbourhoods in Denmark: a cross-sectional study
BMC Public Health volume 18, Article number: 250 (2018)
Previous studies have found that residents of deprived neighbourhoods have an increased risk of perceived stress compared to residents with similar sociodemographic and socioeconomic characteristics in non-deprived neighbourhoods. While stress may provide an explanatory pathway linking neighbourhood deprivation to health-risk behaviour, only limited research has been undertaken on whether perceived stress influences health-risk behaviour in deprived neighbourhoods. Moreover, it is uncertain whether perceived stress has a negative effect on the associations between socioeconomic status and health-risk behaviours in deprived neighbourhoods. The overall aim of this study was to compare perceived stress in deprived neighbourhood with that in the general population, and to examine whether perceived stress was associated with health-risk behaviours (including their co-occurrence) in deprived neighbourhoods. A further aim was to examine whether perceived stress modified the associations between socioeconomic status and health-risk behaviours.
Four questions from the Perceived Stress Scale were used as indicators of perceived stress. Multiple logistic regression analyses were applied to cross-sectional data from 5113 adults living in 12 deprived neighbourhoods in Denmark. Data from 14,868 individuals from the nationally representative Danish Health and Morbidity Survey 2010 were used as a comparison group with regard to perceived stress.
Residents of deprived neighbourhoods had higher odds of perceived stress than the general population. Associations between disposable income, economic deprivation, strain, and perceived stress were found in deprived neighbourhoods. Perceived stress was significantly associated with higher odds of health-risk behaviour, including a low intake of fruit or vegetables, daily smoking, physical inactivity, and the co-occurrence of health-risk behaviours, even after adjustment for demographic and socioeconomic characteristics. Perceived stress was more strongly associated with physical inactivity and having two or more health-risk behaviours among residents with medium/high socioeconomic status compared to residents with low socioeconomic status.
Overall, the study showed a clear association between perceived stress and health-risk behaviour in deprived neighbourhoods. Future health promotion interventions targeting deprived neighbourhoods may benefit from incorporating stress reduction strategies to reduce health-risk behaviour. Further research is needed to fully understand the mechanism underlying the association between perceived stress and health-risk behaviour in deprived neighbourhoods.
Behaviours such as unhealthy diet, smoking, excessive alcohol intake, and physical inactivity are a major public health issue due to their association with higher risks of morbidity and mortality [1,2,3,4]. A strong socioeconomic gradient exists in health-risk behaviour [5, 6], and they are markedly more prevalent among residents of deprived neighbourhoods than among those of non-deprived neighbourhoods [7, 8]. Large differences have been found above and beyond personal characteristics such as sex, age, ethnic background, cohabitation status, educational level, and employment status , but the underlying factors that may explain the independent association between neighbourhood deprivation and health-risk behaviours remain poorly understood [7,8,9]. Studies have suggested that stress could explain the link between neighbourhood deprivation and health-risk behaviours [9,10,11,12], thus acting as an aggravating factor that increases health-risk behaviour among residents of deprived neighbourhoods. Residents of deprived neighbourhoods have an increased risk of perceived stress compared to residents with similar sociodemographic characteristics and socioeconomic status (SES) in non-deprived neighbourhoods [9, 13]. Living in deprived neighbourhoods may lead to increased stress through factors such as overcrowding, high crime rates, perceived danger, poor transportation, poor housing, disrepair, limited services, poor infrastructure, and a lack of social support [13,14,15,16,17,18]. Additionally, neighbourhood deprivation is an independent source of stress, over and above individual SES and other factors . Stress is associated with health-risk behaviour [19,20,21,22,23,24,25,26,27], possibly in large part because people often cope with feelings of stress through risky, but often pleasurable, behaviours [10, 20, 21, 28,29,30,31,32,33] such as eating high-fat foods, smoking, and drinking alcohol . Furthermore, the motivation for physical activity may be limited when experiencing stress .
There is only limited research into whether perceived stress can influence health-risk behaviour among residents of deprived neighbourhoods. A study of women in deprived neighbourhoods in Australia found cross-sectional and longitudinal associations between perceived stress and both reduced leisure-time physical activity and more frequent fast food consumption . Further research into perceived stress and health-related behaviours in deprived neighbourhoods is warranted, including comparisons with the general population . There appear to be large socioeconomic differences in health-risk behaviours among residents in deprived neighbourhoods , and it seems plausible that perceived stress can increase socioeconomic differences in health-risk behaviour. Whether perceived stress has an aggravating effect on the associations between SES and health-risk behaviour in deprived neighbourhood remains uncertain, as no published studies have examined this. A better understanding of health-risk behaviours in the context of stress and coping may be useful for health promotion interventions aimed at reducing health-risk behaviour in deprived neighbourhoods and may reduce social inequality in health in general.
The aim of this study was threefold: First, to compare the prevalence of perceived stress among residents in deprived neighbourhood with that in the general population. Second, to determine whether perceived stress was associated with health-risk behaviour (including their co-occurrence) among residents of deprived neighbourhoods. Third, to examine whether the association between SES and health-risk behaviour among residents of deprived neighbourhoods was modified by perceived stress.
Deprived Neighbourhood health profile survey
Data from the cross-sectional survey Deprived Neighbourhood Health Profile Survey (DNHPS) were provided by the Danish Health Authority. DNHPS was collected in 12 deprived neighbourhoods in Denmark during January–March 2011 as part of a government-funded health intervention project . The Danish Health Authority based their selection of deprived neighbourhoods on a number of criteria at municipality level . For example, the municipalities had to show evidence of the need and potential for health interventions in a geographically bounded neighbourhood with a high proportion of less resourceful residents (for example, people on transfer income or with poor connection to the labour market). However, no specific criteria for demographic or socioeconomic characteristics were specified .
The DNHPS was based on a stratified random sample of 8835 households, and residents aged 18 years or older were invited to participate in the survey. A total of 5113 interviews were collected (response rate: 63%). Further information for each neighbourhood on the number of households, number of residents aged 18 or older in the neighbourhood, gross sample, and number of completed interviews are shown elsewhere . The survey was conducted through telephone interviews supplemented with face-to-face interviews to increase the response rate among residents with non-Western background. The survey is described in detail elsewhere .
General population: Danish health and morbidity survey 2010
Data on the general population were obtained from the Danish Health and Morbidity Survey 2010 (DHMS) , which randomly sampled 25,000 Danes aged 16 years or above, selected from the Danish Civil Registration System (each Danish citizen is given a unique personal registration number at birth or immigration). The survey was conducted in February–April 2010 by the National Institute of Public Health, and 15,165 individuals completed the self-administered questionnaire (response rate: 61%) . For the purposes of the current study, we included data from persons aged 18 years or above (n = 14,686), reflecting the age distribution of the residents of the deprived neighbourhoods. The survey is described in more detail elsewhere .
Perceived stress was measured using four questions from the Perceived Stress Scale (PSS) that describes life stress in terms of feeling in control . The specific questions were: 1) “In the last month, how often have you felt nervous or stressed?”, 2) “In the last month, how often have you felt that you could not cope with all the things that you had to do?”, 3) “In the last month, how often have you felt difficulties were piling up so high that you could not overcome them?”, and 4) “In the last month, how often have you felt that you were on top of things?” The response categories were Never, Almost never, Sometimes, Fairly often, and Very often. The second DHMS question was slightly modified in the DNHPS into: “In the last month, how often have you felt that you could not cope with the things you would like to achieve in your daily life?”
Responses to the three first questions were dichotomised into (a) Very often/Often and (b) Never/Almost never/Sometimes, with (a) indicating a high level of stress. Responses to the last question were dichotomised into (a) Never/Almost never and (b) Sometimes/Often/Very often, with (a) indicating a high level of stress.
An index of perceived stress was constructed by summing the responses to the four questions. Perceived stress was defined as the presence of one or more indicators of high level of stress. The index of perceived stress had a Cronbach’s alpha coefficient of 0.79, which implies good internal consistency (online Additional file 1: Table S1).
Health-risk behaviour was measured using four indicators: low intake of fruit or vegetables, daily smoking, high-risk alcohol intake, and physical inactivity. A low fruit or vegetable intake was defined as respondents who did not eat fruit or vegetables every week and was categorized as “Low intake of fruit or vegetables”. Daily smoking was defined as respondents who reported that they currently smoked every day. Alcohol intake was based on the self-reported number of standard alcohol drinks consumed during a typical week. The Danish Health Authority’s definition of high-risk alcohol intake was applied (> 14 standard drinks per week for women; > 21 standard drinks per week for men) . Physical inactivity was assessed by one question about the respondents’ typical level of physical activity in their leisure time during the past 12 months, using four predefined response categories: Heavy exercise and competitive sports regularly and several times a week; Exercise or heavy gardening at least four hours a week; Walking, biking or other light exercise at least four hours a week (including Sunday excursions, light gardening and cycling or walking to work); and Reading, watching TV or other sedentary activity. The latter category was used to define physical inactivity.
The co-occurrence of health-risk behaviours
Information on the co-occurrence of health-risk behaviours was based on a risk factor score calculated by summing the respondent’s health-risk behaviours in relation to fruit and vegetable consumption, smoking, alcohol intake, and physical activity. The following four health-risk behaviours were chosen: low intake of fruit or vegetables, daily smoking, high-risk alcohol intake, and physical inactivity.
Sociodemographic and socioeconomic characteristics
Measures of sociodemographic and socioeconomic characteristics included sex, age, ethnic background, educational level, employment status, and cohabitation status. In the DNHPS, all sociodemographic and socioeconomic characteristics were self-reported. In the DHMS, information on the respondents’ sex and age was extracted from the Danish Civil Registration System , which was also the source of data used to determine ethnic background. Ethnic background was categorized into three groups: Danish background, other Western background (from the 28 European Union member states and Andorra, Iceland, Liechtenstein, Monaco, Norway, San Marino, Switzerland, Vatican City, Canada, the USA, Australia, and New Zealand) or non-Western background (all other countries). Data on highest level of education completed and employment status were self-reported. Education was categorised according to Statistics Denmark’s definitions, ranging from “No education/Basic school” to “Long-cycle higher education” . An SES index was constructed based on educational level and employment status and was dichotomised into (a) Low and (b) Medium/high SES, where the former category included respondents who had not studied beyond primary school and were not employed.
Disposable income, economic deprivation, and strain
The median disposable income after fixed expenses among the residents of the deprived neighbourhoods was calculated to be DKK 4000 per month (approximately USD 700/GBP 450, at 2011 currency rates of exchange) . This was used as a cut-off point for comparing worse-off and better-off residents of the deprived neighbourhoods. Monthly disposable income was dichotomised into (a) Low disposable income (< DKK 4000) and (b) High disposable income (≥ DKK 4000). Economic deprivation was based on whether the respondent had to refrain from doing one or more of the following activities: leisure activities, giving gifts for birthdays or other occasions, going to the dentist, buying essential medicines, buying clothes or shoes for sport or exercise, and incidental expenses. The economic deprivation variable was dichotomised into (a) Suffering from economic deprivation and (b) Not suffering from economic deprivation. Strain was measured using a question about whether the respondent had been strained within the past year by finances, housing situation, work situation, relationship with their partner or children, illness in the family or among close friends, etc. Strain was dichotomised into (a) Having one or more strains, and (b) No strains.
It was not possible to examine disposable income, economic deprivation, and strain in the general population, as these items were not included in the DHMS.
As a first step, exploratory factor analysis (EFA) was used to explore whether it was possible to construct an index for perceived stress using varimax rotation (orthogonal). A complete case analysis was performed due to the missing data values. As the results were the same for all cases and complete cases the missing values could not have affected the results.
Multiple logistic regression analyses were used to compare perceived stress among residents of the deprived neighbourhood with that in the general population. The results are presented as odds ratios (OR) with 95% confidence intervals (95% CI). The logistic regression model was adjusted for sex, age, ethnic background, educational level, cohabitation status, and employment status, as these are important determinants of health behaviour  (the same adjustment strategy was applied in all regression models in the present study). When the models were adjusted for educational level, the analyses were restricted to individuals aged 25 years or older as they were assumed to have completed their education. When the model was adjusted for employment status, the analyses were restricted to respondents aged 25–64 years and to employed, unemployed, disability pensioners, and other non-employed individuals (including home-makers, people on long-term sick leave, rehabilitated, benefit claimants, and non-classifiable people). These restrictions were applied for all regression models including educational level and employment status. Multiple logistic regression analyses were also used to investigate the associations between disposable income, economic deprivation, and strain, with perceived stress as the outcome.
Multiple logistic regression analyses were also applied to investigate associations between perceived stress and various health-risk behaviour outcomes among the residents of the deprived neighbourhoods, and to investigate whether perceived stress modified the associations between SES and health-risk behaviour among residents of deprived neighbourhoods.
The DNHPS questionnaire offered a “Do not know” category, which was treated as missing in the analyses. In any case, these involved a negligible number of responses across the variables (< 2.7% of cases). Statistics Denmark computed calibrated weights to reduce the impact of non-response bias on the estimates in the DHMS. Register information on sex, age, ethnic background, educational level, and income, etc., for all persons invited to participate in the DHMS was obtained to calculate the weights . Thus, persons in underrepresented groups were given a higher weight (a weight greater than 1) in the analyses to represent the larger number of non-respondents with similar characteristics. Persons in overrepresented groups were given a weight less than 1.
All analyses were carried out using SAS version 9.3.
Comparison with the general population
The prevalence of perceived stress was 33.6% for residents of deprived neighbourhoods and 26.7% in the general population (Table 1). When the model was adjusted for sex, age, and ethnic background, residents of deprived neighbourhoods had 1.30 times higher odds (95% CI: 1.21–1.40) of perceived stress than the general population. Significant associations were observed even after further adjustment for educational level, cohabitation status, and employment status (see Additional file 2: Table S2).
Sociodemographic and socioeconomic characteristics
The prevalence of perceived stress was highest among the unemployed and disability pensioners, irrespective of whether they lived in the deprived neighbourhoods or were among the general population. Up to the age of 65, the prevalence of perceived stress was higher among residents of deprived neighbourhoods than in the general population, but it was substantially more prevalent in the oldest age group in the general population. (Additional file 3: Table: S3) shows the prevalence of the items used to construct the perceived stress index.
Disposable income, economic deprivation, and strain
Table 2 shows prevalence and ORs (unadjusted and adjusted) of the association between perceived stress and disposable income, economic deprivation, and strain among residents of deprived neighbourhoods. Additional file 4 shows the prevalence of all response categories for disposable income (Table S4), economic deprivation (Table S5), and strain (Table S6). The adjusted ORs of perceived stress were significantly higher among residents with a low monthly disposable income (OR: 1.57; 95% CI: 1.35–1.83) compared to those with a high monthly disposable income. Economic deprivation was significantly associated with higher odds of perceived stress (OR: 2.90; 95% CI: 2.53–3.33). The odds of perceived stress increased with the number of strain factors (OR: 1.79; 95% CI: 1.71–1.88). Further analysis showed that residents experiencing at least one strain had 5.29 times higher odds (95% CI: 4.31–6.50) of perceived stress than residents with no strains.
Table 3 shows the association between perceived stress and health-risk behaviour among residents of deprived neighbourhoods. When the analyses were adjusted for sex, age, ethnic background, educational level, and cohabitation status, the experience of perceived stress was significantly associated with higher odds of health-risk behaviour, including low fruit or vegetable intake (OR: 1.56; 95%: 1.22–1.99), daily smoking (OR: 1.59; 95% CI: 1.39–1.82), physical inactivity (OR: 1.95; 95% CI: 1.67–2.28), and co-occurrence of health-risk behaviours. When the analyses were additionally adjusted for employment status, the result for low fruit and vegetable intake was no longer significant. No significant association between perceived stress and high-risk alcohol intake was found. Interaction analyses showed no significant association between sex and perceived stress with regard to health-risk behaviour (all p-values > 0.05).
Perceived stress as an effect modifier
Table 4 shows health-risk behaviour by combinations of SES and perceived stress in deprived neighbourhoods. The combined variable included four possible combinations of SES and perceived stress: Low SES and perceived stress (n = 251), Low SES and no perceived stress (n = 248), Medium/high SES and perceived stress (n = 875), and Medium/high SES and no perceived stress (n = 1669). The combination of low SES and perceived stress showed higher odds of health-risk behaviour (except for high-risk alcohol intake) and co-occurrence of health-risk behaviour than the combination of medium/high SES and no perceived stress. Residents with low SES and perceived stress had higher odds of all health-risk behaviours (except for high-risk alcohol intake) and co-occurrence of health-risk behaviour than residents with higher SES and no perceived stress. Perceived stress modified the associations between SES and physical inactivity (p = 0.0227) and between SES and having two or more health-risk behaviours (p = 0.0275). The modification analyses showed that perceived stress was strongly associated with physical inactivity and having two or more health-risk behaviours among residents with medium/high SES compared to residents with low SES. Moreover, the analysis showed a significant interaction between sex and the combination of SES/perceived stress with regard to exhibiting three or more health-risk behaviours (p-value = 0.0203).
This study examined associations between perceived stress, SES, and health-risk behaviours among residents of deprived neighbourhoods, and whether perceived stress modified the associations between SES and health-risk behaviours. Consistent with prior research, we found a significantly higher risk of perceived stress among residents of deprived neighbourhoods compared with the general population [9, 13]. The study found that perceived stress in deprived neighbourhoods was significantly associated with low intake of fruit or vegetables, daily smoking, physical inactivity, and the co-occurrence of health-risk behaviours. However, perceived stress was not associated with high-risk alcohol intake. Additionally, perceived stress modified the associations between SES and physical inactivity and between SES and having two or more health-risk behaviours in the deprived neighbourhoods. Perceived stress was strongly associated with physical inactivity and having two or more health-risk behaviours among residents with medium/high SES compared to residents with low SES.
The findings of this study support similar studies of associations between stress and health-risk behaviour in other populations [19,20,21,22,23,24,25,26,27]. The association between stress and low fruit or vegetable intake has also been found by prior research [23, 43]. In a study by Mouchacca et al., stress was found to predict higher fast food consumption among women from deprived neighbourhoods in Australia . In addition, a systematic review reported less healthy eating patterns among people in lower social positions who had higher stress levels . Unhealthier eating habits of people with higher levels of stress may be due to unhealthy foods being perceived as a ‘comfort’ or ‘reward’ in coping with stress .
Our findings are in line with several studies showing that high levels of perceived stress are associated with increased smoking levels, smoking initiation, and a reduced likelihood of quitting smoking [19,20,21, 25,26,27, 45]. Among others, Kaplan et al. found that smokers with high levels of perceived stress tended to smoke more and were less confident that they would be able to quit smoking . There is strong evidence that cigarette smoking can be a coping mechanism that provides a respite from stressful physical environments such as overcrowding, low-quality housing, traffic, and neighbourhood noise [46, 47].
The absence of an association between perceived stress and high-risk alcohol intake in deprived neighbourhoods is supported by Ng and Jeffery’s study, in which no association between high perceived stress levels and the level of alcohol intake was found . Other studies have, however, reported a positive association between stress and high-risk alcohol intake [25,26,27, 48]. These inconsistent results could be due to the different methods used to measure stress and alcohol intake or differences in the studied populations. It is worth mentioning that the correlation between socioeconomic factors and alcohol intake in Denmark is very modest when compared to other Western countries . In Denmark, high-risk alcohol intake is more prevalent in younger people with basic school as their highest level of education, whereas the most risk-prone in older age groups are those with the highest education . The Danish alcohol culture can also be characterised as relatively ‘wet’, where drinking is a fundamental factor of social life for many in the general population . However, this is not the case in deprived neighbourhoods .
The association between perceived stress and physical inactivity among residents of deprived neighbourhoods was unsurprising, as previous studies have reported that stress is associated with reduced physical activity and increased sedentary behaviours [19, 20, 26, 27]. However, Steptoe et al. found no differences in exercise frequency or duration with changes in perceived stress . Reduced participation in physical activity can be caused by stress due to difficult life circumstances and lack of coping, which may go beyond self-care and health-promoting behaviours such as physical activity . In addition, many people respond to stress by engaging in less physical activity because they may consider sedentary physical activity rewarding in the short term, despite evidence that physical activity can reduce stress over time [20, 26, 52, 53].
Our finding on the association between perceived stress and the co-occurrence of health-risk behaviours is in line with Fine et al., who reported that persons with high mental distress are twice as likely to have three or four health-risk behaviours than none or one health-risk behaviour . Our findings highlight that deprived neighbourhood residents with perceived stress constitute a risk group for the co-occurrence of health-risk behaviours.
In the research on the association between stress and health-risk behaviour, there is often the perception that health-risk behaviour can be a tool to cope with stress [10, 20, 21, 28,29,30,31,32,33] because behaviours such as smoking and eating high-fat food give immediate pleasure [20, 33]. However, research cannot establish with certainty that health-risk behaviours are used as coping tools for stress . Our results showing higher odds for health-risk behaviour among residents with perceived stress offer indirect support for health-risk behaviour as a coping tool. In Kaplan et al.’s focus group study of residents in low-income communities, the participants described a direct causal pathway between stress and poor health as well as an indirect pathway through health behaviours, including uncontrolled eating, smoking, and physical inactivity . The study participants articulated various theories about the links between stress and health-risk behaviour, such as self-medication, adaptive behaviour, discounting the future, depletion of willpower, and competing priorities .
Our study also found that disposable income, economic deprivation, and strain had strong associations with perceived stress, which may partly explain why residents of deprived neighbourhoods have a higher risk of perceived stress than the general population. Wilkinson has suggested that the poor suffer doubly from deprivation: besides the direct material effects, it also affects their health through psychosocial channels . Being at the bottom of society’s hierarchy may lead to stress from feelings of bitterness based on invidious social comparisons , and the perception of social inequality can be an incentive for health-risk behaviour . In the same way, living in a neighbourhood which is deprived not only in absolute terms, but also relative to nearby neighbourhoods and to society in general, can induce feelings of exclusion and stigmatisation, and residents in deprived neighbourhoods may resort to health-risk behaviours to cope with these perceptions .
The findings of this study have important implications for public health practice. Health promotion interventions would benefit from incorporating stress reduction strategies to address health-risk behaviour in deprived neighbourhoods. We recommend interventions to help residents of deprived neighbourhoods to cope with stress without resorting to health-risk behaviour—especially in regard to fruit and vegetable consumption, smoking, and physical activity. These interventions should help residents to acknowledge the short-term nature of the rewards of health-risk behaviours and to find other more effective and less harmful ways of coping with stress. Previous research has found that activities such as physical activity, relaxation techniques, talking to others, or making time for social activities were effective in managing stress [30, 58]. Lipschitz et al. found that persons with poor stress management had more health-risk behaviours than those with effective stress management . The study also found a relationship between improved stress management over six months and decreasing health-risk behaviour [58, 59]. Furthermore, as mental health has shown to be associated with health behaviours, we recommend the adoption of general mental health promotion initiatives in deprived neighbourhoods . Practitioners should assess perceived stress and refer their patients to stress reduction facilities when appropriate. Knowledge about perceived stress among residents of deprived neighbourhoods can be used to identify vulnerable groups who need special attention in health promotion interventions aimed at deprived neighbourhoods.
The idea that perceived stress caused by neighbourhood deprivation can increase the risk of health-risk behaviour arises mainly from cross-sectional studies associating neighbourhood deprivation with perceived stress [10, 13]. The results of this study provide a base for future longitudinal studies to examine causal associations between perceived stress and health-risk behaviour in deprived neighbourhoods.
Future research should also examine pathways between perceived stress and health-risk behaviour in deprived neighbourhoods to gain a deeper understanding of the mechanisms through which perceived stress causes health-risk behaviour. This should include identifying of modifiers and mediators of this association, which could provide important target areas for future interventions. The influence of perceived stress on health-risk behaviours may depend, for example, on the availability of buffering resources and stress-modifying factors such as social support or personality characteristics [61, 62]. In general, socioeconomically deprived groups have fewer buffering resources, making them more prone to stress and therefore more likely to cope via health-risk behaviour than higher socioeconomic groups [61,62,63]. Further research into interpersonal and intrapersonal coping resources for stress in deprived neighbourhoods would be useful, e.g. on social networks that can provide emotional support.
Strengths and weaknesses of the study
One of the main strengths of this study is that it is based on a large sample of residents living in 12 deprived neighbourhoods with a response rate of 63%. This is noteworthy, as residents of deprived neighbourhoods are less likely to participate in health research [64, 65] and tend to be underrepresented in health profile surveys [19, 66]. It is the first study on perceived stress and health-risk behaviour carried out in a Danish context. Further, the study is unique in simultaneously examining four central health-risk behaviours (low intake of fruit and vegetable, smoking, high-risk alcohol intake, and physical inactivity) as well as the co-occurrence of health-risk behaviours.
Our study has some limitations. Non-response in DNHPS could affect the results regarding the level of perceived stress; if the most stressed people tend not to participate, the level of perceived stress may be underestimated. The respondents are considered to be representative of the residents of deprived neighbourhoods in Denmark, however, so we do not consider non-response to be a serious bias in relation to the observed associations. The cross-sectional data used for this study precluded the assessment of the directions of causations in the relationships between perceived stress and health-risk behaviour. The results should therefore be interpreted in the light of existing theories and research . The association between perceived stress and health-risk behaviour could also operate in the reverse direction to that examined in the present study. As smoking, drinking, and physical inactivity can increase stress indicators, health-risk behaviour may also cause or worsen mental health problems . A further limitation of our study is the measurement of perceived stress using an index based on four items. This might have certain drawbacks compared with Cohen’s 10-item PSS, which has been demonstrated to be a valid and reliable instrument on its own . However, we were unable to include further items in the perceived stress index due to limitations in the length of the questionnaire used in the DNHPS. The four questions chosen were found to provide the best measure of perceived stress in deprived neighbourhoods. Another limitation is the use of two slightly different formulations of the second question in the measurement of perceived stress in the DNHPS and the DHMS. However, we do not consider that this has any major impact on the results. Furthermore, we do not know if some of the participants in the DNHPS also participated in the DHMS, as we do not have access to information about the respondents’ personal identification number in the DNHPS . Different modes of data collection were used for the DNHPS (primarily telephone interviews) and the DHMS (paper or web-based self-administered questionnaires). In a narrative review by Bowling (2005), face-to-face and telephone interviews generally had a higher risk of social desirability bias than self-administered questionnaires . This could cause social desirability response bias in regard to level of perceived stress and health-risk behaviour.
Further, our study was based on self-reported data, which may have led to information bias. People tend to overestimate their physical activity, which can be an indicator of social desirability bias .
This study has shown that residents of deprived neighbourhoods have higher odds of perceived stress than the Danish population in general, indicating the need for health promotion interventions that are targeted at deprived neighbourhoods. Perceived stress was associated with health-risk behaviour in deprived neighbourhoods, although not for high-risk alcohol intake. The results of this study may provide support for the contention that residents of deprived neighbourhoods, in comparison with the general population, have higher odds of health-risk behaviour partly due to higher levels of perceived stress.
We suggest that health promotion interventions in deprived neighbourhoods would benefit from incorporating strategies to reduce perceived stress in regard to reducing health-risk behaviours. Longitudinal studies are needed to examine the causal association between perceived stress and health-risk behaviour over time. There is a continued need for a deeper understanding of the pathways by which perceived stress affects health-risk behaviour. This could help identify appropriate target areas for interventions aiming to change health-risk behaviour in deprived neighbourhoods.
Danish Health and Morbidity Survey 2010
Deprived Neighbourhood Health Profile Survey
Exploratory factor analysis
Perceived Stress Scale
Diderichsen F, Andersen I, Manuel C. The working Group of the Danish Review on social determinants of health, Andersen A-MN, Bach E et al. health inequality - determinants and policies. Scandinavian journal of public health. 2012;40(8 suppl):12–105. https://doi.org/10.1177/1403494812457734.
Juel K, Sorensen J, Risk B-HH. Factors and public health in Denmark. Scandinavian journal of public health. 2008;36(Suppl 1):11–227. https://doi.org/10.1177/1403494808097590.
Marmot M. The marmot review final report: fair society, healthy lives. London: University College London; 2010.
Marmot M, Wilkinson R. Social determinants of health. Oxford: Oxford University Press; 2006.
Lynch JW, Kaplan GA, Salonen JT. Why do poor people behave poorly? Variation in adult health behaviours and psychosocial characteristics by stages of the socioeconomic lifecourse. Social science & medicine (1982). 1997;44(6):809–19.
Stringhini S, Sabia S, Shipley M, Brunner E, Nabi H, Kivimaki M, et al. Association of socioeconomic position with health behaviors and mortality. JAMA : the journal of the American Medical Association. 2010;303(12):1159–66. https://doi.org/10.1001/jama.2010.297.
Algren MH, Ekholm O, van Lenthe F, Mackenbach J, Bak CK, Andersen PT. Health-risk behaviour among residents in deprived neighbourhoods compared with those of the general population in Denmark: a cross-sectional study. Health & place. 2017;45:189–98. https://doi.org/10.1016/j.healthplace.2017.03.014.
Algren MH, Bak CK, Berg-Beckhoff G, Andersen PT. Health-risk behaviour in deprived Neighbourhoods compared with non-deprived Neighbourhoods: a systematic literature review of quantitative observational studies. PLoS One. 2015;10(10):e0139297. https://doi.org/10.1371/journal.pone.0139297.
Pickett KE, Pearl M. Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review. J Epidemiol Community Health. 2001;55(2):111–22.
Stimpson JP. Ju H, Raji MA, Eschbach K. Neighborhood deprivation and health risk behaviors in NHANES III. Am J Health Behav. 2007;31(2):215–22. https://doi.org/10.5555/ajhb.2007.31.2.215.
Diez Roux AV, Mair C. Neighborhoods and health. Ann N Y Acad Sci. 2010;1186(1):125–45. https://doi.org/10.1111/j.1749-6632.2009.05333.x.
Macintyre S, Ellaway A, Cummins S. Place effects on health: how can we conceptualise, operationalise and measure them? Soc Sci Med. 2002;55(1):125–39. https://doi.org/10.1016/S0277-9536(01)00214-3.
Steptoe A, Neighborhood FPJ. Problems as sources of chronic stress: development of a measure of neighborhood problems, and associations with socioeconomic status and health. Ann Behav Med. 2001;23(3):177–85.
Elliott M. The stress process in neighborhood context. Health & place. 2000;6(4):287–99.
Matheson FI, Moineddin R, Dunn JR, Creatore MI, Gozdyra P, Glazier RH. Urban neighborhoods, chronic stress, gender and depression. Social science & medicine (1982). 2006;63(10):2604–16. https://doi.org/10.1016/j.socscimed.2006.07.001.
Senn TE, Walsh JL, Carey MP. The mediating roles of perceived stress and health behaviors in the relation between objective, subjective, and neighborhood socioeconomic status and perceived health. Ann Behav Med. 2014. doi:https://doi.org/10.1007/s12160-014-9591-1.
Olstad DL, Ball K, Wright C, Abbott G, Brown E, Turner AI. Hair Cortisol levels, perceived stress and body mass index in women and children living in socioeconomically disadvantaged neighborhoods: the READI study. Stress. 2016;19(2):158–67. https://doi.org/10.3109/10253890.2016.1160282.
Bak CK, Tanggaard Andersen P, Bacher I, Draghiciu Bancila D. The association between socio-demographic characteristics and perceived stress among residents in a deprived neighbourhood in Denmark. Eur J Pub Health. 2012;22(6):787–92. https://doi.org/10.1093/eurpub/cks004.
Nielsen L, Curtis T, Kristensen TS, Nielsen NR. What characterizes persons with high levels of perceived stress in Denmark? A national representative study. Scand J Public Health. 2008;36(4):369–79. https://doi.org/10.1177/1403494807088456.
Ng DM, Jeffery RW. Relationships Between perceived stress and health behaviors in a sample of working adults. Health Psychol. 2003;22(6):638–42. https://doi.org/10.1037/0278-6220.127.116.118.
Krueger PM, Chang VW. Being poor and coping with stress: health behaviors and the risk of death. Am J Public Health. 2008;98(5):889–96. https://doi.org/10.2105/ajph.2007.114454.
Mikolajczyk RT, Maxwell AE, Naydenova V, Meier S, El Ansari W. Depressive symptoms and perceived burdens related to being a student: survey in three European countries. Clin Pract Epidemol Ment Health 2008;4. doi:https://doi.org/10.1186/1745-0179-4-19.
Cartwright M, Wardle J, Steggles N, Simon AE, Croker H, Jarvis MJ. Stress and Dietary practices in adolescents. Health psychology. 2003;22(4):362–9.
Moore CJ, Cunningham SA. Social position, psychological stress, and obesity: a systematic review. J Acad Nutr Diet. 2012;112(4):518–26. https://doi.org/10.1016/j.jand.2011.12.001.
Heslop P, Smith GD, Carroll D, Macleod J, Hyland F, Perceived HC. Stress and coronary heart disease risk factors: the contribution of socio-economic position. Br J Health Psychol. 2001;6(Pt 2):167–78. https://doi.org/10.1348/135910701169133.
Steptoe A, Wardle J, Pollard TM, Canaan L, Davies GJ. Stress, social support and health-related behavior: a study of smoking, alcohol consumption and physical exercise. J Psychosom Res. 1996;41(2):171–80.
Rod NH, Gronbaek M, Schnohr P, Prescott E, Kristensen TS. Perceived stress as a risk factor for changes in health behaviour and cardiac risk profile: a longitudinal study. J Intern Med. 2009;266(5):467–75. https://doi.org/10.1111/j.1365-2796.2009.02124.x.
Peretti-Watel P, Seror V, Constance J, Beck F. Poverty as a smoking trap. Int J Drug Policy. 2009;20(3):230–6. https://doi.org/10.1016/j.drugpo.2008.10.001.
Berkman L, Glass T. Social network epidemiology. In: Berkman L, Kawachi I, editors. Social Epidemiology. New York: Oxford University Press; 2014. p. 234–89.
Park CL, Iacocca MO. A stress and coping perspective on health behaviors: theoretical and methodological considerations. Anxiety Stress Coping. 2014;27(2):123–37. https://doi.org/10.1080/10615806.2013.860969.
Ellen IG, Mijanovich T, Dillman K-N. Neighborhood effects on health: exploring the links and assessing the evidence. J Urban Affairs. 2001;23(3–4):391–408. https://doi.org/10.1111/0735-2166.00096.
Walsh JL, Senn TE, Carey MP. Longitudinal associations between health behaviors and mental health in low-income adults. Transl Behav Med. 2013;3(1):104–13. https://doi.org/10.1007/s13142-012-0189-5.
Hajek P, Taylor T, McRobbie H. The effect of stopping smoking on perceived stress levels. Addiction. 2010;105(8):1466–71. https://doi.org/10.1111/j.1360-0443.2010.02979.x.
Mouchacca J, Abbott GR, Ball K. Associations between psychological stress, eating, physical activity, sedentary behaviours and body weight among women: a longitudinal study. BMC Public Health. 2013;13:828. https://doi.org/10.1186/1471-2458-13-828.
Danish Health Authority. Forebyggelsesindsatser i Nærmiljøet [Neighborhood prevention efforts]. Danish Health Authority, https://www.sst.dk/da/puljer-og-projekter/2010/forebyggelse-i-naermiljoeet 2010. Accessed February 16 2017.
Danish Health Authority. Call for proposals by the Danish Health Authority. “Forebyggelsesindsatser i nærmiljøet” [Neighborhood prevention efforts]. Danish Health Authority, https://www.sst.dk/da/puljer-og-projekter/2010/~/media/540D72C0E7EE4240A2B61E00268DA5E6.ashx 2010. Accessed February 17 2017.
Christensen AI, Ekholm O, Glumer C, Andreasen AH, Hvidberg MF, Kristensen PL, et al. The Danish National Health Survey 2010. Study design and respondent characteristics. Scandinavian journal of public health. 2012;40(4):391–7. https://doi.org/10.1177/1403494812451412.
Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24(4):385–96.
Gronbaek MN, Iversen L, Olsen J, Becker PU, Hardt F, Sensible STI. drinking limits. Ugeskr Laeger. 1997;159(40):5939–45.
Pedersen CB. The Danish civil registration system. Scandinavian journal of public health. 2011;39(7 Suppl):22–5. https://doi.org/10.1177/1403494810387965.
Kurita GP, Sjogren P, Juel K, Hojsted J, Ekholm O. The burden of chronic pain: a cross-sectional survey focussing on diseases, immigration, and opioid use. Pain. 2012;153(12):2332–8. https://doi.org/10.1016/j.pain.2012.07.023.
Bak C, Andersen P, Dokkedal U. The association between social position and self-rated health in 10 deprived neighbourhoods. BMC Public Health. 2015;15(1):14. https://doi.org/10.1186/s12889-015-1377-2.
Mikolajczyk RT, El Ansari W, Food MAE. Consumption frequency and perceived stress and depressive symptoms among students in three European countries. Nutr J. 2009;8(1):31. https://doi.org/10.1186/1475-2891-8-31.
Dallman MF, Pecoraro N, Akana SF, la Fleur SE, Gomez F, Houshyar H, et al. Chronic stress and obesity: a new view of “comfort food”. Proc Natl Acad Sci U S A. 2003;100(20):11696–701. https://doi.org/10.1073/pnas.1934666100.
Kaplan SA, Madden VP, Mijanovich T, Purcaro E. The perception of stress and its impact on health in poor communities. J Community Health. 2013;38(1):142–9. https://doi.org/10.1007/s10900-012-9593-5.
Miles R. Neighborhood disorder and smoking: findings of a European urban survey. Social science & medicine (1982). 2006;63(9):2464–75. https://doi.org/10.1016/j.socscimed.2006.06.011.
Shohaimi S, Luben R, Wareham N, Day N, Bingham S, Welch A, et al. Residential area deprivation predicts smoking habit independently of individual educational level and occupational social class. A cross sectional study in the Norfolk cohort of the European investigation into cancer (EPIC-Norfolk). J Epidemiol Community Health. 2003;57(4):270–6.
Steptoe A, Lipsey Z, Wardle J. Stress, hassles and variations in alcohol consumption, food choice and physical exercise: a diary study. Br J Health Psychol. 1998;3(1):51–63. https://doi.org/10.1111/j.2044-8287.1998.tb00555.x.
Bloomfield K, Grittner U, Rasmussen HB, Petersen HC. Socio-demographic correlates of alcohol consumption in the Danish general population. Scandinavian journal of public health. 2008;36(6):580–8. https://doi.org/10.1177/1403494808089648.
Danish Health Authority. Danskernes Sundhed - Den Nationale Sundhedsprofil 2013 [The Danish National Health Survey]. Copenhagen: Danish Health Authority; 2014.
Järvinen M. Drinking rituals and drinking problems in a wet culture. Addict Res Theory. 2003;11(4):217–33. https://doi.org/10.1080/1606635031000135613.
Schnohr P, Kristensen TS, Prescott E, Scharling H. Stress and life dissatisfaction are inversely associated with jogging and other types of physical activity in leisure time—the Copenhagen City heart study. Scand J Med Sci Sports. 2005;15(2):107–12. https://doi.org/10.1111/j.1600-0838.2004.00394.x.
Long BC, Rv S. Effects of exercise training on anxiety: a meta-analysis. Journal of Applied Sport Psychology. 1995;7(2):167–89. https://doi.org/10.1080/10413209508406963.
Fine LJ, Philogene GS, Gramling R, Coups EJ, Prevalence SS. Of multiple chronic disease risk factors. 2001 National Health Interview Survey. Am J Prev Med. 2004;27(2 Suppl):18–24. https://doi.org/10.1016/j.amepre.2004.04.017.
Wilkinson RG. Unhealthy societies. The afflictions of inequality. London: Routledge; 1996.
Kawachi I, Income KBP. Inequality and health: pathways and mechanisms. Health Serv Res. 1999;34(1 Pt 2):215–27.
Stead M, MacAskill S, MacKintosh A-M, Reece J, Eadie D. "It's as if You're locked in": qualitative explanations for area effects on smoking in disadvantaged communities. Health & place. 2001;7(4):333–43.
Evers KE, Prochaska JO, Johnson JL, Mauriello LM, Padula JA, Prochaska JMA. Randomized clinical trial of a population- and transtheoretical model-based stress-management intervention. Health psychology. 2006;25(4):521–9. https://doi.org/10.1037/0278-618.104.22.1681.
Lipschitz JM, Paiva AL, Redding CA, Butterworth S, Prochaska JO. Co-occurrence and coaction of stress management with other health risk behaviors. J Health Psychol. 2015;20(7):1002–12. https://doi.org/10.1177/1359105313506026.
Stranges S, Samaraweera PC, Taggart F, Kandala N-B, Stewart-Brown. major Health-related behaviours and mental well-being in the general population: the health survey for England. BMJ Open. 2014;4(9) https://doi.org/10.1136/bmjopen-2014-005878.
McLeod JD, Kessler RC. Socioeconomic status differences in vulnerability to undesirable life events. J Health Soc Behav. 1990;31(2):162–72.
Elstad JI. The psycho-social perspective on social inequalities in health. Sociology of health & illness. 1998;20(5):598–618. https://doi.org/10.1111/1467-9566.00121.
Thoits PA. Stress, coping, and social support processes: where are we? What next? J Health and Soc Behav. 1995;(Extra Issue):53-79.
Rasmussen M, Poulsen EK, Rytter AS, Kristiansen TM, Bak CK. Experiences with recruitment of marginalized groups in a Danish health promotion program: a document evaluation study. PLoS One. 2016;11(6):e0158079. https://doi.org/10.1371/journal.pone.0158079.
Kuipers MA, Jongeneel-Grimen B, Droomers M, Wingen M, Stronks K, Kunst AE. Why residents of Dutch deprived neighbourhoods are less likely to be heavy drinkers: the role of individual and contextual characteristics. J Epidemiol Community Health. 2013;67(7):587–94. https://doi.org/10.1136/jech-2012-201242.
Andersen PT, Bak CK, Vangsgaard S, Dokkedal U, Larsen PV. Self-rated health, ethnicity and social position in a deprived neighbourhood in Denmark. Int J Equity Health. 2011;10:5. https://doi.org/10.1186/1475-9276-10-5.
Bowling A. Mode of questionnaire administration can have serious effects on data quality. Journal of Public Health. 2005;27(3):281–91. https://doi.org/10.1093/pubmed/fdi031.
Adams SA, Matthews CE, Ebbeling CB, Moore CG, Cunningham JE, Fulton J, et al. The effect of social desirability and social approval on self-reports of physical activity. Am J Epidemiol. 2005;161(4):389–98. https://doi.org/10.1093/aje/kwi054.
We thank Claire Gudex, Department of Clinical Medicine, University of Southern Denmark, for editing the final manuscript.
This research received no specific grant from any funding agency in the public, commercial, or non-profit sector.
Availability of data and materials
The data analysed during the current study are available from the Danish Health Authority. However, restrictions apply to the availability of these data, which were used under license for the current study and are thus not publicly available.
Ethics approval and consent to participate
All participants were informed of the survey’s aims and content. Ethical approval and written consent was not required for this type of study. According to the Danish Act on Research Ethics Review of Health Research Projects (S. 14(2) of Act No. 593 of 14 June 2011), no ethical approval was needed for the present study.
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The authors declare that they have no competing interests.
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Table S1. Factor loadings for perceived stress index in deprived neighbourhoods and in the general population. (DOCX 15 kb)
Table S2. Prevalence of perceived stress in deprived neighbourhoods and in general population. ORs with 95% CI for perceived stress in deprived neighbourhoods compared to general population. (DOCX 16 kb)
Table S3. Prevalence of indicators of perceived stress in deprived neighbourhoods and in the general population. (DOCX 18 kb)
Table S4. Prevalence of monthly disposable income in DKK in deprived neighbourhoods; Table S5. Prevalence of economic deprivation in deprived neighbourhoods: Had had to refrain from doing one or more of the listed activities within the last year for economic reasons; Table S6. Prevalence of strain in deprived neighbourhoods: Have been strained by some of the listed factors within the past year. (DOCX 16 kb)
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Cite this article
Algren, M.H., Ekholm, O., Nielsen, L. et al. Associations between perceived stress, socioeconomic status, and health-risk behaviour in deprived neighbourhoods in Denmark: a cross-sectional study. BMC Public Health 18, 250 (2018). https://doi.org/10.1186/s12889-018-5170-x
- Health behaviour
- Socioeconomic status
- Perceived stress
- Health surveys
- Regression analysis