Family income and health in Canada: a longitudinal study of stability and change

Background Extensive research has shown strong associations between income and health. However, the health effects of income dynamics over time are less known. We investigated how stability, volatility and trajectory in family incomes from 2002 to 2011 predicted (1) fair/poor self-rated health and (2) the presence of a longstanding illness or health problem in 2012. Methods The data came from the 2012 wave of the Longitudinal and International Study of Adults linked to annual family income data for 2002 to 2011 from the Canada Revenue Agency. We executed a series of binary logistic regressions to examine associations between health and average family income over the decade (Model 1), number of years in the bottom quartile (Model 2) and top quartile (Model 3) of family incomes, standard deviation of family incomes (Model 4), absolute difference between family income at the end and start of the period (Model 5), and number of years in which inflation-adjusted family income went down by more than 1% (Model 6) and up by more than 1% (Model 7) from 1 year to the next. The analyses were conducted separately for women and men. Results Average family income over the decade was strongly associated with both self-rated health and the presence of a longstanding illness or health problem. More years spent in the bottom quartile of family incomes corresponded to elevated odds of fair/poor self-rated health and the presence of a longstanding illness or health problem. Steady decreases in family income over the decade corresponded to elevated odds of fair/poor self-rated health for men and more years spent in the top quartile of family incomes over the decade corresponded to elevated odds of fair/poor self-rated health for women. Conclusion Previous studies of the association between family income and health in Canada may have overlooked important issues pertaining to family income stability and change that are impactful for health.

Racial discrimination and health: a prospective study of ethnic minorities in the United Kingdom

Background Racism has been linked with poor health in studies in the United States. Little is known about prospective associations between racial discrimination and health outcomes in the United Kingdom (UK). Methods Data were from 4883 ethnic minority (i.e. non-white) participants in the UK Household Longitudinal Study. Perceived discrimination in the last 12 months on the basis of ethnicity or nationality was reported in 2009/10. Psychological distress, mental functioning, life satisfaction, self-rated health, physical functioning and reports of limiting longstanding illness were assessed in 2009/10 and 2011/12. Linear and logistic regression analyses adjusted for age, sex, income, education and ethnicity. Prospective analyses also adjusted for baseline status on the outcome being evaluated. Results Racial discrimination was reported by 998 (20.4%) of the sample. Cross-sectionally, those who reported racial discrimination had a greater likelihood on average of limiting longstanding illness (odds ratio (OR) = 1.78, 95% confidence interval (CI) 1.49; 2.13) and fair/poor self-rated health (OR = 1.50; 95% CI 1.24; 1.82) than those who did not report racial discrimination. Racial discrimination was associated with greater psychological distress (B = 1.11, 95% CI 0.88; 1.34), poorer mental functioning (B = − 3.61; 95% CI -4.29; − 2.93), poorer physical functioning (B = − 0.86; 95% CI -1.50; − 0.27), and lower life satisfaction (B = − 0.40, 95% CI -0.52; − 0.27). Prospectively, those who reported racial discrimination had a greater likelihood on average of limiting longstanding illness (OR = 1.31, 95% CI 1.01; 1.69) and fair/poor self-rated health (OR = 1.30; 95% CI 1.00; 1.69), than those who did not report racial discrimination. Racial discrimination was associated increased psychological distress (B = 0.52, 95% CI 0.20; 0.85) and poorer mental functioning (B = − 1.77; 95% CI -2.70; − 0.83) over two-year follow-up, adjusting for baseline scores. Conclusions UK adults belonging to ethnic minority groups who perceive racial discrimination experience poorer mental and physical health than those who do not. These results highlight the need for effective interventions to combat racial discrimination in order to reduce inequalities in health.

Modifiable and non-modifiable risk factors for COVID-19: results from UK Biobank

BackgroundInformation on risk factors for COVID-19 is sub-optimal. We investigated demographic, lifestyle, socioeconomic, and clinical risk factors, and compared them to risk factors for pneumonia and influenza in UK Biobank.MethodsUK Biobank recruited 37–70 year olds in 2006–2010 from the general population. The outcome of confirmed COVID-19 infection (positive SARS-CoV-2 test) was linked to baseline UK Biobank data. Incident influenza and pneumonia were obtained from primary care data. Poisson regression was used to study the association of exposure variables with outcomes.FindingsAmong 428,225 participants, 340 had confirmed COVID-19. After multivariable adjustment, modifiable risk factors were higher body mass index (RR 1.24 per SD increase), smoking (RR 1.38), slow walking pace as a proxy for physical fitness (RR 1.66) and use of blood pressure medications as a proxy for hypertension (RR 1.40). Non-modifiable risk factors included older age (RR 1.10 per 5 years), male sex (RR 1.64), black ethnicity (RR 1.86), socioeconomic deprivation (RR 1.26 per SD increase in Townsend Index), longstanding illness (RR 1.38) and high cystatin C (RR 1.24 per 1 SD increase). The risk factors overlapped with pneumonia somewhat; less so for influenza. The associations with modifiable risk factors were generally stronger for COVID-19, than pneumonia or influenza.InterpretationThese findings suggest that modification of lifestyle may help to reduce the risk of COVID-19 and could be a useful adjunct to other interventions, such as social distancing and shielding of high risk.FundingBritish Heart Foundation, Medical Research Council, Chief Scientist Office.

How widespread is working at scale in English general practice? An observational study

BackgroundOver the last 5 years, national policy has encouraged general practices to serve populations of >30 000 people (called ‘working at scale’) by collaborating with other practices.AimTo describe the number of English general practices working at scale, and their patient populations.Design and settingObservational study of general practices in England.MethodData published by the NHS on practices’ self-reports of working in groups were supplemented with data from reports by various organisations and practice group websites. Practices were categorised by the extent to which they were working at scale; within these categories, the age distribution of the practice population, level of socioeconomic deprivation, rurality, and prevalence of longstanding illness were then examined.ResultsApproximately 55% of English practices (serving 33.5 million patients) were working at scale, individually or collectively serving populations of >30 000 people. Organisational models representing close collaboration for the purposes of core general practice services were identifiable for approximately 5% of practices; these comprised large practices, superpartnerships, and multisite organisations. Approximately 50% of practices were working in looser forms of collaboration, focusing on services beyond core general practice; for example, primary care in the evenings and at weekends. Data on organisational models and the purpose of the collaboration were very limited for this group.ConclusionIn early 2018, approximately 5% of general practices were working closely at scale; approximately half of practices were working more loosely at scale. However, data were incomplete. Better records of what is happening at practice level should be collected so that the effect of working at scale on patient care can be evaluated.

Alcohol consumption trajectories and self-rated health: findings from the Stockholm Public Health Cohort

ObjectiveTo investigate whether poor self-rated health and psychological distress are differentially associated with drinking trajectories over time.MethodsFrom the Stockholm Public Health Cohort, two subcohorts surveyed in 2002–2010–2014 and 2006–2010–2014 (n=23 794 and n=34 667 at baseline, respectively) were used. Alcohol consumption, self-rated health, psychological distress (measured by General Health Questionnaire-12), lifestyle factors and longstanding illness were assessed by questionnaires. Demographic and socioeconomic variables were obtained by register linkage. Logistic regression was fitted to assess the associations with eight alcohol consumption trajectories, which were constructed among 30 228 individuals (13 898 and 16 330 from the 2002 and 2006 subcohorts, respectively) with measures of consumption at three time points.ResultsCompared with stable moderate drinkers, all other trajectories were associated with poor self-rated health with multiadjusted OR for stable non-drinkers of 2.35 (95% CIs 1.86 to 2.97), unstable non-drinkers (OR=2.58, 95% CI 1.54 to 3.32), former drinkers (OR=2.81, 95% CI 2.31 to 3.41) and stable heavy drinkers (OR=2.16, 95% CI 1.47 to 3.20). The associations were not fully explained by sociodemographic and lifestyle factors and longstanding illness. Former drinking, but no other trajectories, was associated with psychological distress (OR=1.24; 95% CI 1.10 to 1.41).ConclusionWe found a U-shape association between alcohol trajectories and self-rated health, but not with psychological distress. Compared with stable moderate drinking, former drinking was associated with the highest odds of both poor self-rated health and psychological distress. The study confirms the importance of a life-course approach to examining the effect of alcohol consumption on health and highlights the poorer general and mental health status of non-drinkers who were former drinkers.

Poverty dynamics and health in late childhood in the UK: evidence from the Millennium Cohort Study

ObjectiveTo assess the prevalence of different trajectories of exposure to child poverty and their association with three indicators of adolescent physical and mental health in UK children.MethodsWe analysed data on 10 652 children from a large, prospective, nationally representative sample in the UK Millennium Cohort Study. The outcomes were mental health, measured by the Strengths and Difficulties Questionnaire (SDQ), physical health, measured by obesity and any longstanding illness, at age 14. The exposure was relative poverty (<60% of median of equivalised household income), measured at 9 months, 3, 5, 7, 11 and 14 years. Poverty trajectories were characterised using latent class analysis. ORs and 95% CIs were estimated using multivariable logistic regression, adjusted for maternal education and ethnicity.ResultsFour poverty trajectories were identified: never in poverty (62.4%), poverty in early childhood (13.4%), poverty in late childhood (5.0%) and persistent poverty (19.4%). Compared with children who never experienced poverty, those in persistent poverty were at increased risk of mental health problems (SDQ score≥17 (adjusted OR (aOR): 3.17; 95% CI: 2.40 to 4.19)), obesity (aOR: 1.57; 95% CI: 1.20 to 2.04) and longstanding illness (aOR: 1.98; 95% CI: 1.55 to 2.52). Poverty in early childhood was related to higher risk of obesity than that in late childhood, while the opposite is observed for mental health problems and longstanding illness.ConclusionsPersistent poverty affects one in five children in the UK. Any exposure to poverty was associated with worse physical and mental health outcomes. Policies that reduce child poverty and its consequences are likely to improve health in adolescence.

Effect of pro-social behaviour and conduct problems on the relationship between limiting longstanding illness and negative emotional symptoms in children

Purpose The purpose of this paper is to explore direct and moderating effects of pro-social behaviour and conduct problems on the link between limiting longstanding illness (LL-I) and negative emotional symptoms in children. Design/methodology/approach The Welsh Health Survey variables: LL-I, emotional symptoms, conduct problems, pro-social behaviour, gender, age and socio-economic status were entered into regression models to assess the relationships outlined above. Cross-sectional data from several years were combined. Findings In the cohort of 627 children aged 4–12 years who had LL-I, 601 (95.9 per cent) had complete data for analysis. Children with LL-I scored a mean of 1.8 points higher on negative emotional symptoms than children without LL-I, with LL-I accounting for 6 per cent of the variance in emotional symptoms in a regression model. In children with LL-I, highly pro-social children had lower levels of negative emotional symptoms compared to those with low pro-social levels (1.1 points on emotional symptoms scale, 95% CI=0.55–1.70; p<0.001). In children with LL-I, high levels of conduct problems were associated with increased negative emotional symptoms compared to those with low levels of conduct disorder (2.1 points on emotional symptoms scale, 95% CI=1.3–2.5; p<0.001). Research limitations/implications Potential improvements include a longitudinal design, and use of multi-informant Strengths and Difficulties Questionnaire scores. Practical implications Assessment of children with LL-I could usefully include pro-social behaviours. Social implications National policy could consider the value of promoting pro-social responses. Originality/value Emotional symptoms in children with LL-I are associated with pro-social behaviour and conduct problems, primarily as a direct effect. Pro-social interventions could promote emotional wellbeing in children with LL-I.

Associations between alcohol and obesity in more than 100 000 adults in England and Scotland

The objective of this cross-sectional study was to clarify the association between alcohol and obesity using data from 106 182 adults in England and Scotland (46·7 % male; mean 46·9 (sd 16·9) years). Trained interviewers asked participants about alcohol intake. Obesity was defined as BMI≥30 kg/m2. Potential confounders included age, sex, smoking, physical activity, longstanding illness, psychological distress and socioeconomic status. Compared with those who drank at least five times a week, obesity risk was 1·21 (95 % CI 1·15, 1·27) in those who drank one to four times a week, 1·53 (95 % CI 1·43, 1·62) in those who drank one to two times a month, 1·61 (95 % CI 1·52, 1·71) in those who drank less than once every couple of months, 1·34 (95 % CI 1·23, 1·47) in those who were former drinkers, and 1·03 (95 % CI 0·95, 1·11) in those who were never drinkers. Compared with those who drank a harmful volume, obesity risk was 0·78 (95 % CI 0·68, 0·90) in those who drank within guidelines, 0·69 (95 % CI 0·54, 0·88) in former drinkers and 0·50 (95 % CI 0·40, 0·63) in never drinkers; and, these associations were biased away from the null after adjustment for drinking volume. Abstinence was associated with increased risk of obesity in women. These data suggest that the association between drinking frequency and obesity is bell-shaped, with obesity risk not significantly different in those who drink most often and never drinkers. Drinking volume has a positive confounding effect on the association between drinking frequency and obesity, which may help explain the conflicting findings of other studies.