Socioeconomic status and anthropometric changes-A meta-analytic approach from seven German cohorts

Cannabis Use Is Inversely Associated with Overweight and Obesity in Hepatitis B Virus-Infected Patients (ANRS CO22 Hepather Cohort)

Background: Chronic hepatitis B virus (HBV) infection may evolve into cirrhosis and hepatocellular carcinoma, and this progression may be accelerated by specific risk factors, including overweight and obesity. Although evidence for a protective effect of cannabis use on elevated body weight has been found for other populations, no data are available for HBV-infected patients. Aims: We aimed to identify risk factors (including cannabis use) for overweight and obesity in patients with HBV chronic infection. Methods: Using baseline data from the French ANRS CO22 Hepather cohort, we performed two separate analyses, one using "central obesity" (based on waist circumference) and the other "overweight" and "obesity" (based on body mass index) as outcomes. Logistic and multinomial regressions were used to model central obesity and overweight/obesity, respectively. Results: Among the 3706 patients in the study population, 50.8% had central obesity, 34.7% overweight, and 14.4% obesity. After multivariable adjustment, current cannabis use was associated with a 59% lower risk of central obesity compared with no lifetime use (adjusted odds ratio [95% CI]: 0.41 [0.24 to 0.70]). It was also associated with a 54% and 84% lower risk of overweight (adjusted relative risk ratio [95% CI]: 0.46 [0.27 to 0.76]) and obesity (0.16 [0.04 to 0.67]), respectively. Conclusions: Cannabis use was associated with lower risks of overweight and obesity in patients with HBV chronic infection. Future studies should test whether these potential benefits of cannabis and cannabinoid use translate into reduced liver disease progression in this high-risk population.

Income in relation to obesity measures in an East German adult population: findings from the LIFE-Adult-Study

Background

Obesity has been postulated to be a consequence of economic disadvantage. However, epidemiological studies failed to demonstrate a consistent link between income and body fat indicators. We examined income as a possible cause of obesity in an East German general population, focusing on appropriate representation of study variables, as well as on confounding and modification of the income-obesity association.

Methods

We used data of 9599 participants in the baseline examination of the LIFE-Adult-Study, conducted in the city of Leipzig from 2011 to 2014. Body mass index (BMI) and waist circumference (WC) as obesity measures were based on standardised measurements, net equivalised income (NEI) on self-reports. We estimated adjusted means of BMI and WC within NEI categories representing the range from risk of poverty to affluence. We stratified the analyses by gender, age, and education.

Results

A substantial part of the age-adjusted associations of income with obesity measures was attributable to other SES indicators. Adjusted for these variables, NEI was comparably associated with BMI and WC. Among women, BMI and WC decreased across NEI categories. The inverse associations tended to be stronger at non-working age (≥ 65 years) than at working age (< 65 years). Conversely, among working-age men, BMI and WC increased with increasing NEI. Among older men, risk of poverty was related to higher values of the obesity measures. The aforementioned associations were predominantly stronger in highly educated participants compared to those with medium/low education. The differences in mean BMI and WC between persons at risk of poverty and higher income groups were rather small, ranging from 1 to 2 kg/m² for BMI and 2 to 4 cm for WC.

Conclusions

Our investigation indicates an association between income and body fatness in an East German adult population that depends on the sociodemographic context of the people. However, it does not suggest that income disparities are a major driver of body fat accumulation in this population. Differential selection of study participants, error in the measurement of long-term income, and possibly reverse causality may have affected our conclusions.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11302-w.

Socio-economic position as a moderator of cardiometabolic outcomes in patients receiving psychotropic treatment associated with weight gain: results from a prospective 12-month inception cohort study and a large population-based cohort

Weight gain and metabolic complications are major adverse effects of many psychotropic drugs. We aimed to understand how socio-economic status (SES), defined as the Swiss socio-economic position (SSEP), is associated with cardiometabolic parameters after initiation of psychotropic medications known to induce weight gain. Cardiometabolic parameters were collected in two Swiss cohorts following the prescription of psychotropic medications. The SSEP integrated neighborhood-based income, education, occupation, and housing condition. The results were then validated in an independent replication sample (UKBiobank), using educational attainment (EA) as a proxy for SES. Adult patients with a low SSEP had a higher risk of developing metabolic syndrome over one year versus patients with a high SSEP (Hazard ratio (95% CI) = 3.1 (1.5-6.5), n = 366). During the first 6 months of follow-up, a significant negative association between SSEP and body mass index (BMI), weight change, and waist circumference change was observed (25 ≤ age < 65, n = 526), which was particularly important in adults receiving medications with the highest risk of weight gain, with a BMI difference of 0.86 kg/m² between patients with low versus high SSEP (95% CI: 0.03-1.70, n = 99). Eventually, a causal effect of EA on BMI was revealed using Mendelian randomization in the UKBiobank, which was notably strong in high-risk medication users (beta: -0.47 SD EA per 1 SD BMI; 95% CI: -0.46 to -0.27, n = 11,314). An additional aspect of personalized medicine was highlighted, suggesting the patients' SES represents a significant risk factor. Particular attention should be paid to patients with low SES when initiating high cardiometabolic risk psychotropic medications.

The heritability of body composition

BACKGROUND

Physical growth during childhood and adolescence is influenced by both genetic and environmental factors. Heritability, the proportion of phenotypic variance explained by genetic factors, has been demonstrated for stature and weight status. The aim of this study was to explore the heritability of body composition.

METHODS

A real-life, observational study of the children and adolescents referred to the Endocrine Unit in a tertiary medical center. In January 2018, body composition by means of bioimpedance analysis (BIA) was implemented as part of the standard intake assessment of subjects referred for endocrine consultation. The clinic BIA database was searched for subjects with the term "observation of growth" as the sole reason for referral. BIA of 114 triads of healthy subjects aged 5-18 years and their parents were analyzed. The BIA report included the following data: fat mass, fat percentage, truncal fat percentage and muscle mass. Calculated variables included: appendicular skeletal muscle mass (ASMM = the sum of muscle mass of four limbs), muscle-to-fat ratio [MFR = ASMM (kg)/fat mass (kg)] and sarcopenic index [(SI = ASMM(kg)/height (meter)²]. Data collection from medical files included pubertal stage and home address for socioeconomic position grading.

RESULTS

There were sex differences in body composition parameters in both the prepubertal and pubertal subjects. The boys among the prepubertal subjects had a lower fat percentage on average than girls (p = 0.020). Among the adolescents, boys on average had lower fat percentage (p = 0.011), higher sarcopenic index (p = 0.021), and higher muscle-to-fat ratio (p < 0.001), than adolescent girls. Correlation analyses between body composition parameters of all participants revealed significant correlations in the sarcopenic index of prepubertal children and their parents (boys-fathers: r = 0.380, p = 0.050; boys-mothers: r = 0.435, p = 0.026; girls-fathers: r = 0.462, p = 0.012; girls-mothers: r = 0.365, p = 0.050) and adiposity indices (fat percentage, truncal fat percentage and muscle-to-fat ratio) of prepubertal boys and their mothers (r = 0.438, p = 0.025; r = 0.420, p = 0.033, and r = 0.478, p = 0.014, respectively). There were no associations between body composition parameters of adolescents and their parents. Socioeconomic position adversely affected fat percentage in adolescent girls and mothers.

CONCLUSIONS

Heritable body composition traits were demonstrated in childhood but not in adolescence, suggesting that environmental influence has a more telling effect during teenage years.

Association of Adult Socioeconomic Status with Body Mass Index: A Within- and Between-Twin Study

Adult socioeconomic status (SES) has been consistently associated with body mass index (BMI), but it is unclear whether it is linked to BMI independently of childhood SES or other potentially confounding factors. Twin studies can address this issue by implicitly controlling for childhood SES and unmeasured confounders. This co-twin control study used cross-sectional data from Twins Research Australia's Health and Lifestyle Questionnaire (N = 1918 twin pairs). We investigated whether adult SES, as measured by both the Index of Relative Socioeconomic Disadvantage (IRSD) and the Australian Socioeconomic Index 2006 (AUSEI06), was associated with BMI after controlling for factors shared by twins within a pair. The primary analysis was a linear mixed-effects model that estimated effects both within and between pairs. Between pairs, a 10-unit increase in AUSEI06 was associated with a 0.29 kg/m2 decrease in BMI (95% CI [-.42, -.17], p < .001), and a 1-decile increase in IRSD was associated with a 0.26 kg/m2 decrease in BMI (95% CI [-.35, -.17], p < .001). No association was observed within pairs. In conclusion, higher adult SES was associated with lower BMI between pairs, but no association was observed within pairs. Thus, the link between adult SES and BMI may be due to confounding factors common to twins within a pair.

Psycho-social factors related to obesity and their associations with socioeconomic characteristics: the RECORD study

OBJECTIVES

We aimed to describe the main psycho-social factors related to obesity in an adult population and to develop a unified construct (psycho-social profiles), to explore the associations between socioeconomic characteristics and these psycho-social profiles.

METHODS

In its second wave, the RECORD Study assessed 6460 participants aged 30-79 years living in the Paris region between 2011 and 2014. Factor analyses followed by cluster analysis were applied to identify psycho-social profiles related to obesity. The two psycho-social profiles were adverse profile-negative body image, underestimation of the impact of weight in quality of life, low weight-related self-efficacy, and weight-related external locus of control; and favorable profile-positive body image, high self-efficacy, and internal locus of control. The relationship between three socioeconomic dimensions-current socioeconomic status, childhood socioeconomic status, and neighborhood education status-and psycho-social profiles was assessed through binomial logistic regression adjusted for age, gender, depression, living alone, and weight status.

RESULTS

Contrary to hypotheses, there were no associations between socioeconomic characteristics and obesity-related psycho-social profiles after adjustment for body mass index. Depressive symptoms (OR 2.21, 95% CI 2.70, 4.04) and being female (3.31, 95% CI 2.70, 4.40) were associated with an adverse psycho-social profile.

CONCLUSIONS

Psycho-social profiles could help to understand the multifactorial nature of the determinants of obesity.

LEVEL OF EVIDENCE

Level V, cross-sectional descriptive study.

Body Mass Index Trajectory-Specific Changes in Economic Circumstances: A Person-Oriented Approach Among Midlife and Ageing Finns

Economic disadvantage is related to a higher risk of adulthood obesity, but few studies have considered whether changes in economic circumstances depend on a person's body mass index (BMI) trajectory. We identified latent BMI trajectories among midlife and ageing Finns and captured individual-level changes in economic circumstances within the BMI trajectories utilizing sequence analysis. We used the Helsinki Health Study cohort data of initially 40-60-year-old Finnish municipal employees, with four survey questionnaire phases (2000-2017). Each survey included identical questions on height and weight, and on economic circumstances incorporating household income and current economic difficulties. Based on computed BMI, we identified participants' (n = 7105; 82% women) BMI trajectories over the follow-up using group-based trajectory modeling. Four BMI trajectories were identified: stable healthy weight (34% of the participants), stable overweight (42%), overweight to class I obesity (20%), and stable class II obesity (5%). Lower household income level and having economic difficulties became more common and persistent when moving from lower- to higher-level BMI trajectories. Differences in household income widened over the follow-up between the trajectory groups, whereas economic difficulties decreased equally in all trajectory groups over time. Our study provides novel information on the dynamic interplay between long-term BMI changes and economic circumstances.

Socioeconomic position and body composition across the life course: a systematic review protocol

INTRODUCTION

The relation between socioeconomic position (SEP) and obesity measured by body mass index (BMI) has been extensively reviewed, but there is less research on the association between SEP and body composition. Fat distribution and muscle quality have been linked to adverse health outcomes such as cardiovascular disease, diabetes and poor physical capability. There is some evidence of secular changes in body composition with increasing fat-mass and reducing muscle quantity and strength, but it is unclear whether there have been secular changes in social inequalities in body composition. The aim is to perform a systematic review of the existing literature on the association between SEP and body composition and to explore any secular changes.

METHODS

The systematic review will be carried out according to PRISMA guidelines. An electronic search of MEDLINE and Embase Classic + Embase will be conducted using OvidSP as the database interface, as well as SPORTDiscus using EBSCO. Two independently working reviewers will initially screen abstracts to exclude papers that are clearly ineligible, followed by a full-text screening to exclude papers not meeting all inclusion criteria. Any disagreements will be resolved through discussion. Data extraction and quality assessment of eligible papers will be carried out by 2 reviewers using a standardised form. The reference lists of identified papers will be searched for additional papers. Original studies in the English language, which examine the association between SEP at any age and body composition at the same or later age will be included if they use any recognised measures of SEP (e.g. income, occupation, over-crowding) and a recognised measure of body composition (total, proportional or location of fat mass and fat-free mass, using any appropriate methods, excluding anthropometry). Due to expected heterogeneity, a narrative synthesis is expected, with a descriptive summary to be provided in tables. If there is consistency in reporting of associations, a random-effects meta-analysis will be used to provide an overall summary estimate.

DISCUSSION

The results of the review will summarise the existing evidence on social inequalities in body composition. Findings will identify gaps in knowledge and where further research is required.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42019119937.

Pathways linking socioeconomic status to small-for-gestational-age (SGA) infants among primiparae: a birth cohort study in China

OBJECTIVES

Evidence about the relationship between socioeconomic status (SES) and small-for-gestational-age (SGA) infants was insufficient among Chinese primiparae. In addition, factors that may mediate this relationship are poorly understood. The purpose of this study was to investigate the risk of and mediators between SES and SGA.

DESIGN

Retrospective cohort study.

SETTING

Wuhan, Hubei, China.

METHOD

Participants were recruited from patients who gave birth in the maternity care hospital of Wuhan between September 2012 and October 2014. Logistic regression models were used to estimate the association between SES and SGA. Pathway analysis was performed to examine the contribution of maternal lifestyles and pregnancy-induced hypertension syndrome (PIH) to the relationship between SES and SGA. Total effect, direct effect and indirect effect of SES on SGA were measured. Effect sizes were evaluated by unstandardised estimates (B) and standardised estimates (ß).

RESULTS

Among 8737 primiparae, 927 (10.61%) pregnant women had babies with SGA. High SES was inversely associated with risk of SGA (OR 0.856; 95% CI 0.737 to 0.995) after adjustment for potential confounders. Maternal obstetric characteristics, lifestyles and PIH completely mediated SES and SGA (indirect effect: B=-0.067, 95% CI -0.108 to -0.026). The indirect effect of SES was strengthened by PIH (B=-0.029), a multivitamin supplement (B=-0.021), prepregnancy body mass index (BMI) ≥18.50 (B=-0.009) and prepregnancy BMI ≥18.50 to gestational weight gain (GWG) not below the Institute of Medicine (IOM) recommendations (B=-0.003).

CONCLUSIONS

Women from high SES predicted lower risk of PIH, more chances to take a multivitamin supplement during early pregnancy, keeping prepregnancy BMI ≥18.50 kg/cm² and gaining adequate gestational weight which was not below IOM recommendations. Furthermore, lower risk of PIH, more chances to take a multivitamin supplement, prepregnancy BMI ≥18.50 kg/cm² and GWG not below IOM recommendations were associated with a lower risk of SGA infants.

Association between individual and neighbourhood socioeconomic factors and masticatory efficiency: a cross-sectional analysis of the Paris Prospective Study 3

Background

There is a lack of evidence on the impact of socioeconomic factors on masticatory efficiency. The present study investigates the relationship between individual and neighbourhood socioeconomic factors (main exposure) and the number of masticatory units (MUs) used as surrogate of the masticatory efficiency (main outcome).

Methods

In this cross-sectional study nested in the Paris Prospective Study 3, 4270 adults aged 50–75 and recruited from 13 June 2008 to 31 May 2012 underwent a full-mouth examination. Number of MUs defined as pairs of opposing teeth or dental prostheses allowing mastication, number of missing teeth and gingival inflammation were documented. The individual component of the socioeconomic status was evaluated with an individual multidimensional deprivation score and education level. The neighbourhood component of the socioeconomic status was evaluated with the FDep99 deprivation index. Associations were quantified using marginal models.

Results

In multivariate analyses, having less than 5 MUs was associated with (1) the most deprived neighbourhoods (OR=2.27 (95% CI 1.63 to 3.17)), (2) less than 12 years of educational attainment (OR=2.20 (95% CI 1.66 to 2.92)) and (3) the highest individual score of deprivation (OR=3.23 (95% CI 2.24 to 4.65)). Associations with education and individual score of deprivation were consistent across the level of neighbourhood deprivation. Comparable associations were observed with the number of missing teeth. Associations with gingival inflammation were of lower magnitude; the relationship was present for deprivation markers but not for education.

Conclusion

Poor masticatory efficiency is associated with low educational attainment and high deprivation scores.

DC-Obesity: A New Model for Estimating Differential Lifetime Costs of Overweight and Obesity by Socioeconomic Status

OBJECTIVE

The aim of this study was to quantify the magnitude of lifetime costs of overweight and obesity by socioeconomic status (SES).

METHODS

Differential Costs (DC)-Obesity is a new model that uses time-to-event simulation and the Markov modeling approach to compare lifetime excess costs of overweight and obesity among individuals with low, middle, and high SES. SES was measured by a multidimensional aggregated index based on level of education, occupational class, and income by using longitudinal data of the German Socioeconomic Panel (SOEP). Random-effects meta-analysis was applied to combine estimates of (in)direct costs of overweight and obesity.

RESULTS

DC-Obesity brings attention to opposite socioeconomic gradients in lifetime costs due to obesity compared to overweight. Compared to individuals with obesity and high SES, individuals with obesity and low SES had lifetime excess costs that were two times higher (€8,526). In contrast, these costs were 20% higher in groups with overweight and high SES than in groups with overweight and low SES (€2,711).

CONCLUSIONS

The results of this study indicate that SES may play a pivotal role in designing cost-effective and sustainable interventions to prevent and treat overweight and obesity. DC-Obesity may help public policy planners to make informed decisions about obesity programs targeted at vulnerable SES groups.

Educational status and differences in left ventricular mass and ejection fraction - The role of BMI and parameters related to the metabolic syndrome: A longitudinal analysis from the population-based CARLA cohort

BACKGROUND AND AIMS

Higher ventricular mass has been reported in non-white US-Americans with low educational status and in socially isolated people. To assess the impact of education on cardiac mass and function in the general population and to identify mediators.

METHODS AND RESULTS

Data from a German population-based sample were used (CARLA cohort, n = 1779 at baseline, n = 1436 at the four-year follow-up). Ventricular mass indexed on height (LVMI) and ejection fraction, using Teichholz's formula (EFTZ), were measured. Education was assessed using the ISCED classification. Mediator analyses were performed using the R-macro 'mediation' to compute the average direct effect and the average causal mediated effect after confounder adjustment. Sensitivity analyses for unobserved confounders were performed. Considered mediators were BMI, waist-to-hip ratio, HbA1c, and systolic and diastolic blood pressures. We found differences in LVMI and EFTZ, both at baseline and follow-up, between educational levels in women (lowest vs highest educational level: 15.6 g, 95% CI: -25.7, -5.6), but not in men. Similarly, women (lowest vs highest educational level at baseline: 3.3%, 95% CI: 0.8-5.7), but not men, of higher educational levels had a higher EFTZ of comparable magnitude at baseline and follow-up. Of the considered mediators, BMI explained 55.9% at baseline and 54.1% at follow-up of the educational effect, while other potential mediators had no significant effect. Relations remained constant between baseline and follow-up.

CONCLUSIONS

Women with low educational levels tend to have a higher ventricular mass and lower EF, which can be explained by a higher BMI in this group.