Table 3.
Thematic table of explanations for the AHP extracted from included papers with information on type of study design and population.
| Domain | Theme | Explanation | Definition | Study design | Population |
|---|---|---|---|---|---|
|
| |||||
| Individual | Biological | Biological characteristics [3,34,40] | SEP groups have a different biological or genetic make-up related to ethnicity or due to experiencing inequality which leaves them more susceptible to harm | Systematic review, discussion paper, cohort | General population |
| Behavioural-related alterations [21,40,46,85,102] | Engaging in multiple risk behaviours has a biological impact: (i) nutritional deficiencies and metabolic consequences which alter protein and vitamin absorption, (ii) an adverse effect on the immune system and (iii) they interact with live enzymes, all leading to greater risk of disease (e.g. liver disease) and harm | Cross-sectional, cohort, commentary, report | General population | ||
| Psychological | Stress [3,4,34,46,52,76,81] | Low SEP groups experience more psychological stress and a greater number of stressful events: (e.g. marital breakdown, dangerous environment, immigrant status, unemployment and living in poverty). This is thought to reduce resilience to disease | Systematic review, cohort, discussion paper, meta-analysis, cross-sectional | General population | |
| Coping [8,30,33,34,42,52,56,58,78,80,88,89,93,98] | Differences in coping strategies: low SEP groups use alcohol as a coping strategy which can lead to alcohol dependence. They are also more likely to use resigned acceptance as a coping strategy and are less likely to use cognitive avoidance and emotional discharge which independently negatively impact wellbeing | Cross-sectional, discussion paper, cohort, qualitative | General population, men, young people, military conscripts, patient | ||
| Stereotypes/stigma [61,80,81,88,89,96] | Lower SEP groups experience more labelling and discrediting which leads to social rejection and exclusion. This could result in a self-fulfilling prophecy, whereby members of that group enact the behaviours they are expected to possess. This could also increase group and individual tensions which find an outlet via harmful drinking. This may also lead to fewer social resources, increasing psychological vulnerability | Discussion paper, cross-sectional, cohort, review | General population | ||
| Attribution [8,83] | There are a higher number of abstainers in low SEP groups, therefore the alcohol problems faced by those who do drink in this group may seem worse by comparison. This only holds true for subjective measures of alcohol-related harm | Cross-sectional | General population | ||
| Health and wellbeing | Physical health [8,9,32,34,35,41,47,62,63,74,76,93,94,96,98] | There is a higher prevalence of pre-existing physical health conditions, poorer general health, multi-morbidities or being overweight/obese in low SEP groups which could explain disproportionate effects of alcohol | Cross-sectional, cohort, review, case–control, meta-analysis, qualitative, report | General population, patient, men, adults with long-term conditions | |
| Mental health [8,22,34,41,47,48,50,53,63,76,93,96,98] | Low SEP individuals tend to be more psychologically vulnerable and have a greater prevalence of pre-existing mental health conditions, mental distress, or psychological symptoms (e.g. nervousness, irritability, helplessness, loneliness) which could exacerbate the effects of alcohol. There is also an independent association between poor wellbeing and worse health outcomes | Cross-sectional, review, cohort, report, meta-analysis, qualitative | General population, patient, adults with long-term conditions, young adults | ||
| Life-style | Risk behaviour | Drinking patterns [1,3,4,8,10,14,18,21,22,30,32,34,39,41,45–47,49,51–54,59,60,62–64,71,73,79,81,83,85,86,91,94,95,98–100,103] | Although overall or average alcohol consumption may be similar, or lower for low SEP groups, they consume greater quantities of alcohol per drinking occasion | report, systematic review, meta-analysis, cross-sectional, cohort, review, commentary, discussion paper | General population, men, patient, young adults |
| Clustering of health behaviours [3,4,10,18,21,22,37,40–44,46,47,53,59,63,64,72,74,76,81,90,95,103] | Those in low SEP groups engage in multiple health risk behaviours for example smoking, poor diet, a lack of exercise and concurrent drug use which exacerbate the impact of alcohol | Systematic review, meta-analysis, cross-sectional, cohort, case–control, report, discussion paper | General population, adults with long-term conditions, young adults, male patients, patient | ||
| Type of beverage [4,10,18,21,32,47,86,90,93,102] | Beers, ciders and spirits are more commonly consumed by low SEP, while wine is often associated with higher SEP. The quality and price of alcohol consumed may impact harm outcomes | Cohort, systematic review, meta-analysis, cross-sectional, commentary, qualitative, report | General population, patient | ||
| Drinking history/future drinking [4,21,22,60,62,77,103] | Drinking is temporal and may change throughout the life-course. Although those of low SEP may have reduced consumption upon measurement, increased susceptibility to harm could be due to previous drinking. There are several reasons why people may reduce consumption (e.g. developing an illness). This explanation was extended to an increase in consumption in the future, as some studies only measure consumption at baseline and outcomes in following years | Cohort, cross-sectional, commentary, report | General population, men | ||
| Drinking practices | Norms [51,53,75,78,85,87,92,96,101] | Group and neighbourhood norms including drinking pattern, expected volume, how to drink certain beverages (e.g. shot a spirit) and norms around the permissibility of excessive alcohol use differs by SEP | Cohort, report, qualitative, review | Young adults, patient | |
| Culture [75,78,88,96] | Drinking culture attached to certain places of employment or neighbourhoods may lead to poorer health and difficulties maintaining employment, which could then exacerbate stress and increase consumption | Report, qualitative, cohort, review | Young adults, general population | ||
| Health-consciousness | Health literacy [21,37,77,93,94,97] | Engagement with health promotion campaigns and preventative services. It was proposed that low SEP may not make use of available services or are slower to access these services | Cross-sectional, cohort, commentary, qualitative, report | General population, patient, men | |
| Healthy behaviours [9,34,37,76,85] | Those of a high SEP adopt healthy behaviours (e.g. good diet and exercise) which may protect against negative impacts of drinking | Cohort, review, meta-analysis, commentary | General population | ||
| Contextual | Social | Social support [9,18,34,35,45,51–53,55,73,75,76,89,93,96,101–103] | Social support may buffer the negative impacts of alcohol consumption. Those of high SEP have a wider ‘social margin’ which insulates them from the negative consequences of their actions while low SEP lack social support and are often socially isolated | Systematic review, meta-analysis, report, cross-sectional, review, cohort | General population, young adults |
| Social exclusion [1,75,76,88,96] | The marginalization of low SEP groups is greater due to several factors including a higher number of abstainers, stigmatization that comes with having an alcohol use disorder and intersections between multiple minority status (e.g. ethnic, refugee, homeless and LGBT+) | Report, meta-analysis, cohort, review | General population | ||
| Peer influence [9,53,75,96,101,102] | Negative influence from peers and family in low SEP groups may impact harm outcomes. There is evidence that men of high SEP are more likely to be married and therefore long-term partners may be an important agent of social control for excessive drinking. Not only would a partner provide social control but also additional financial support via combined income and this influence was extended to others in their social network | Cohort, report, review | General population | ||
| Drinking context | Dangerous environment [1,9,18,36,48–50,78,84,98,102] | Low SEP are more likely to drink in dangerous environments with a lack of policing and safety, which may lead to a higher risk of violence, police encounters and unintentional injury | Report, systematic review, meta-analysis, cohort, discussion paper, cross-sectional, qualitative, commentary | General population, young adults, patient | |
| Exposure [102] | Drinking in public places is common among the most deprived groups (e.g. the homeless). This leaves them exposed to certain infectious diseases (e.g. TB and HIV) which may compound harm | Report | NA | ||
| Place | Neighbourhood deprivation [10,18,44,46,50,53,79,81,84,89,102] | A lack of resources, treatment facilities or preventative/educational programs, an increased police presence, neighbourhood disorder, low educational ethos and a lack of community institution negatively impact harm outcomes | Systematic review, meta-analysis, cross-sectional, report, case–control, cohort, commentary | General population, patient, young adults | |
| Alcohol outlet/advertising density [3,53,54,59,71,75,81,87,89,96,102] | Increased outlet density has an impact on patterns of drinking and harmful consequences. The density of alcohol advertising in deprived areas was also considered to potentially influence the excess harm experienced by those of a low SEP | Systematic review, report, cross-sectional, cohort, commentary, review | General population | ||
| Disadvantage | Intersectionality | Multiple minorities [44,52,76,80,81,92,96,101] | The impact of belonging to multiple minority groups (e.g. SEP, race, gender, and sexuality), and how experiencing multiple aspects of disadvantage may amplify inequalities in alcohol-related harm | Case–control, cohort, meta-analysis, cross-sectional, review, report | Patient, general population |
| Life-course | Cumulative effects [9,37,44,52,55,58,74,84,96,102] | The accumulation of negative/stressful life events over time or additive effects of prolonged risky health behaviours which negatively impacts health and potentially employment itself | Cohort, case–control, commentary, review, report | General population, patient, military conscripts | |
| Early risk factors [9,50,55,58,75,96,103] | The experience of ACE’s in childhood, childhood household dysfunction and a disadvantaged start in life (including prenatal factors) perpetuates a vicious cycle of poverty and poor health which impacts on social participation, wellbeing, their ability to cope and access to available support or treatment | Cohort, cross-sectional, report, review | General population, young adults, military conscripts | ||
| Family influence [55,81,102] | Limited family income restricts material resources and creates stress given the inability to meet basic needs. Family history of alcohol problems could impact alcohol consumption and health in later life. Parental education is shown to negatively impact on health literacy and children’s employment aspirations, opportunities, and adulthood income | Cohort, cross-sectional, report | General population | ||
| Material | Material resources [1,4,14,49,51,55,73,74,93,96] | A lack of resources could negatively impact on harm due to the inability to protect themselves from the experience of a problem or stressful life event and could exacerbate poor health through poor housing conditions, homelessness, and unemployment | Report, cohort, cross-sectional, case–control, qualitative, review | General population, young adults, patient | |
| Neo-materialist | Access, quality and barriers [1,3,10,14,18,21,38,44,46,52,53,55,64,75,76,87,93,96,98,102,103] | Depending on geographical distribution, services in disadvantaged areas may be fewer and more difficult to access or of a lower quality. Low SEP groups face several potential barriers when attempting to access health-care including cost, transport, availability (in terms of opening hours), mobility issues and stigma which may deter them from using services. Dependent on country there were additional considerations for example the cost of health insurance | Report, systematic review, cohort, meta-analysis, qualitative, review, cross-sectional, case–control | General population, patient | |
| Upstream | Structural | Economic [1,16,33,45,53,56,75,87,96,97,102] | Trickle-down effects of the economy were thought to contribute to excess harm. Economic stressors (e.g. economic downturns or recession) are more closely associated with morality in the lowest SEP groups. Gross national income and changes in minimum or disposable income has increased the buying power of low SEP groups, which has led to an equalization of alcohol consumption | Report, review, cross-sectional, cohort | General population |
| Socio-political [38,44,46,75,80,84,96] | The attitudes and decision making of residents and policymakers. Politicians focusing on individual behaviours rather than tackling the social determinants of health which increases inequalities. Political context is extremely important, as countries with poor minimum living standards, limited public investment in social goods (particularly in deprived areas) and worse social system responses are likely to worsen health outcomes for low SEP groups | Cross-sectional, case–control, cohort, report, commentary, review | General population, patient | ||
| Alcohol policy [41,61,75,87,96] | The mutually beneficial economic relationship between the state and the alcohol industry shapes policy decisions. Although it is hoped that this is counterbalanced by ‘helping professions’ it is also in their interest to continue the expansion of treatment and this is deflected by each entity casting blame on the another. Additionally, a lack of policy that aims to reduce harmful consumption, alcohol availability, pricing and promotion, and global market liberalization (changes in affordability), production, importation, distribution, and pricing of alcohol were hypothesized to contribute to the AHP | Cohort, discussion paper, report, review | Adults with long-term conditions | ||
| Corporate influence [61] | The alcohol industry funds alcohol research which may misinform policy decision-making. Privately owned media was also argued to play a role via diffusing true or false information | Discussion paper | NA | ||
| Employment [9,14,43,52,74,75,81,96] | There were several mechanisms through which employment could worsen alcohol-related harms for low SEP groups. This included the working conditions or occupational exposures faced by low SEP individuals. Job type, low wages and inflexible employment, and job alienation, stress and low satisfaction are all thought to negatively impact harm outcomes. Those from more deprived backgrounds with insecure employment may also be less able to take time off work when they become ill, compounding the problem. This contrasts with the idea that high SEP individuals may get more support from their employers, whereby employers are more willing to invest energy in solving their alcohol problems. Relatedly issues of unemployment were also discussed including the issue of receiving additional help of benefits related to a long-term condition or disability which may discourage some people from getting better as they would lose this additional help as a result | Cohort, report, case–control, cross-sectional, review | General population, male patients | ||
| Power [61] | Dominant groups in society may suppress subordinate groups via different means (e.g. variable wages, segmented social status), therefore fragmenting groups. These subgroups would then experience greater discrimination and stigma, while the status quo is maintained by the dominant groups having individualistic beliefs. This coupled with social control: the idea that the most powerful individuals have an interest in subordinate groups adopting deviant or socially problematic behaviour which in turn is defined by the powerful, facilitates a ‘revolving door’ system by which the same individuals pass through a multitude of institutions including hospitals, jails, and clinics | Discussion paper | NA | ||
| Broad determinants [45,46,85,90] | Other broad factors, such as social and commercial determinants of health, are the causal factors associated with low SEP which may explain the AHP | Cohort, commentary | General population | ||
| Artefact | Downward drift | Reverse causation [1,4,21,45,53,57,74,81,85] | Heavier drinkers are more likely to lose their job or move to deprived areas due to their heavy drinking. The existence of an alcohol problem is the driving force behind low SEP, rather than low SEP having an independent association with increased harm | Report, cross-sectional, cohort, report, case–control, commentary | General population |
| Methodological | Under-reporting/measurement error [3,14,42,44,47,59,60,64,71,74,90,94,103] | The use of self-report measures allows the opportunity for response bias and memory limitation to impact the results. Measures which rely on binge drinking beyond a threshold instead of individual units is not accurate at capturing differences in the proportions of non-drinkers between SEP groups | Systematic review, meta-analysis, report, cohort, case–control, cross-sectional, commentary | Young adults, patient, general population | |
| Unmeasured factors [44] | Not all confounders are measured. For example, the way cigarette smoke is inhaled or the type of cigarette could have an impact on harm | Case–control | Patient | ||
| Study Design [46] | Need to use more longitudinal data when investigating the AHP particularly to account for time-dependent effects | Cohort | General population | ||
| Under-representation [3,14,21,85,94] | The heaviest drinkers in deprived areas are often under-represented in studies. This is a potential confounder for cross-sectional studies using aggregate data, as once the heaviest drinkers are accounted for higher rates of harm are no longer paradoxical | Systematic review, meta-analysis, report, commentary | NA | ||
SEP = socio-economic position; LGBT = lesbian, gay, bisexual, transgender; NA = not applicable; TB = tuberculosis.