The influence of socioeconomic deprivation on multimorbidity at different ages: a cross-sectional study

<b>Background</b> Multimorbidity occurs at a younger age in individuals in areas of high socioeconomic deprivation but little is known about the 'typology' of multimorbidity in different age groups and its association with socioeconomic status.<p></p> <b>Aim</b> To characterise multimorbidity type and most common conditions in a large nationally representative primary care dataset in terms of age and deprivation.<p></p> <b>Design and setting</b> Cross-sectional analysis of 1 272 685 adults in Scotland.<p></p> <b>Method</b> Multimorbidity type of participants (physical-only, mental-only, mixed physical, and mental) and most common conditions were analysed according to age and deprivation.<p></p> <b>Results</b> Multimorbidity increased with age, ranging from 8.1% in those aged 25–34 to 76.1% for those aged ≥75 years. Physical-only (56% of all multimorbidity) was the most common type of multimorbidity in those aged ≥55 years, and did not vary substantially with deprivation. Mental-only was uncommon (4% of all multimorbidity), whereas mixed physical and mental (40% of all multimorbidity) was the most common type of multimorbidity in those aged <55 years and was two- to threefold more common in the most deprived compared with the least deprived in most age groups. Ten conditions (seven physical and three mental) accounted for the top five most common conditions in people with multimorbidity in all age groups. Depression and pain featured in the top five conditions across all age groups. Deprivation was associated with a higher prevalence of depression, drugs misuse, anxiety, dyspepsia, pain, coronary heart disease, and diabetes in multimorbid patients at different ages.<p></p> <b>Conclusion</b> Mixed physical and mental multimorbidity is common across the life-span and is exacerbated by deprivation from early adulthood onwards

A change model for GPs serving deprived areas

No abstract available

Multimorbidity and socioeconomic deprivation in primary care consultations

Purpose: The influence of multimorbidity on the clinical encounter is poorly understood, especially in areas of high socioeconomic deprivation where burdensome multimorbidity is concentrated. The aim of the current study was to examine the effect of multimorbidity on general practice consultations, in areas of high and low deprivation. Methods: We conducted secondary analyses of 659 video-recorded routine consultations involving 25 general practitioners (GPs) in deprived areas and 22 in affluent areas of Scotland. Patients rated the GP’s empathy using the Consultation and Relational Empathy (CARE) measure immediately after the consultation. Videos were analyzed using the Measure of Patient-Centered Communication. Multilevel, multi-regression analysis identified differences between the groups. Results: In affluent areas, patients with multimorbidity received longer consultations than patients without multimorbidity (mean 12.8 minutes vs 9.3, respectively; P = .015), but this was not so in deprived areas (mean 9.9 minutes vs 10.0 respectively; P = .774). In affluent areas, patients with multimorbidity perceived their GP as more empathic (P = .009) than patients without multimorbidity; this difference was not found in deprived areas (P = .344). Video analysis showed that GPs in affluent areas were more attentive to the disease and illness experience in patients with multimorbidity (P < .031) compared with patients without multimorbidity. This was not the case in deprived areas (P = .727). Conclusions: In deprived areas, the greater need of patients with multimorbidity is not reflected in the longer consultation length, higher GP patient centeredness, and higher perceived GP empathy found in affluent areas. Action is required to redress this mismatch of need and service provision for patients with multimorbidity if health inequalities are to be narrowed rather than widened by primary care

Family numeracy adds up Lessons from the Family Numeracy Pilot Programme

SIGLEAvailable from British Library Document Supply Centre-DSC:3661.958F(426 252) / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Maternal and personal cigarette smoking synergize to increase airflow limitation in adults

Susceptibility of the lungs to cigarette smoke is poorly understood. It is not known whether maternal smoking increases chronic obstructive pulmonary disease (COPD) risk. In 1998 we reported an inverse association between maternal smoking (prerecorded) and FEV<sub>1</sub> in adults. Because FEV<sub>1</sub> and FVC are strongly correlated, it is unclear whether the association in question reflects a link with lung volume, airflow limitation, or both. We extended our original analysis to investigate whether maternal and personal smoking synergize to increase airflow limitation. We estimated residual FEV<sub>1</sub> to express FEV<sub>1</sub> variation that was not associated with FVC. Maternal smoking was inversely associated with FVC and FEV<sub>1</sub> irrespective of personal smoking. It was inversely associated with FEV1/FVC, forced midexpiratory flow rates (FEF<sub>25–75</sub> [mean forced expiratory flow during the middle half of the FVC], FEF<sub>25–75</sub>/FVC), and residual FEV<sub>1</sub> in current smokers but not in never or former smokers (heterogeneity p = 0.016, 0.024, 0.021, and 0.016, respectively). We tested the clinical relevance of findings in ever smokers without asthma: 10 cigarettes/day maternal smoking increased prevalent COPD by 1.7 (95% confidence interval: 1.2–2.5) after adjustment for covariates. Maternal smoking impairs lung volume irrespective of personal smoking and appears to synergize with personal smoking to increase airflow limitation and COPD.<p></p&gt

Contribution of midparental BMI and other determinants of obesity in adult offspring

The aim of this study was to evaluate midparental BMI among intergenerational factors associated with obesity in adult offspring. The data was from an unusual two-generational observational design of 1,477 married couples from Renfrew and Paisley in Scotland who were aged 45-64 years when screened in 1972-1976, and 1,040 sons and 1,298 daughters aged 30-59 years when screened in 1996. BMI was categorized as normal (<25 kg/m2), overweight (25-29.9 kg/m2), and obese (30 kg/m2) in offspring and parents. Midparental BMI was defined as the mean of the mother's and father's BMI. Low physical activity, nonsmoking status, higher cholesterol level, and manual social class were all associated with increased BMI in offspring. The effect of reported dietary intake was less clear. Offspring of obese parents (defined by midparental BMI) were over four times more likely to be obese than offspring of normal weight parents. Midparental BMI had a strong effect on offspring BMI, independent of social class, smoking habit, physical activity, and reported dietary intake. Adding midparental BMI to the regression model more than doubled the explained variation of offspring BMI from 7.7 to 17% . Every 1 kg/m2 increment in midparental BMI was associated with a BMI greater by 0.51 kg/m2 in offspring. We conclude that midparental BMI is a useful simple tool to predict offspring BMI. Whether it represents genetic or environmental family effects, it is easily ascertained by the individual and could be used in health promotion and clinical settings to target individuals who are at increased risk of becoming obese

Genetic variation in the 15q25 nicotinic acetylcholine receptor gene cluster (CHRNA5-CHRNA3-CHRNB4) interacts with maternal self-reported smoking status during pregnancy to influence birth weight

Maternal smoking during pregnancy is associated with low birth weight. Common variation at rs1051730 is robustly associated with smoking quantity and was recently shown to influence smoking cessation during pregnancy, but its influence on birth weight is not clear. We aimed to investigate the association between this variant and birth weight of term, singleton offspring in a well-powered meta-analysis. We stratified 26,241 European origin study participants by smoking status (women who smoked during pregnancy vs. women who did not smoke during pregnancy) and, in each stratum, analysed the association between maternal rs1051730 genotype and offspring birth weight. There was evidence of interaction between genotype and smoking (P=0.007). In women who smoked during pregnancy, each additional smoking-related T-allele was associated with a 20g [95% confidence interval (95% CI): 4, 36g] lower birth weight (P=0.014). However, in women who did not smoke during pregnancy, the effect size estimate was 5g per T-allele [95% CI: -4, 14g; P=0.268]. To conclude, smoking status during pregnancy modifies the association between maternal rs1051730 genotype and offspring birth weight. This strengthens the evidence that smoking during pregnancy is causally related to lower offspring birth weight and suggests that population interventions that effectively reduce smoking in pregnant women would result in a reduced prevalence of low birth weight