Life-course social position, obesity and diabetes risk in the EPIC-Spain Cohort

How socioeconomic status affects weight status through health-related lifestyles: a latent class analysis

AIMS

Obesity levels have increased worldwide with serious public health concerns. However, weight status is related to socioeconomic status (SES), which may also influence health-related lifestyles. Here, we study the association between SES and obesity mediated by diet and physical activity.

METHODS AND RESULTS

Using cross-sectional data from 2006, 2011, 2014, and 2017 Spanish health surveys (the final sample consisted of 61 768 adults aged between 18 and 64 years), we conducted a latent class analysis to estimate health-related lifestyle clusters (based on dietary patterns and physical activity) and mediation analyses to evaluate the association of SES and obesity through the clustering of health-related lifestyles. In both men and women, SES was inversely related to obesity (P < 0.001) and positively related to healthier lifestyle classes (P < 0.001). Obesity was inversely related to healthier lifestyle classes (P < 0.001). A small-although significant-proportion mediated by the clustering of lifestyles was found as follows: 4.9%, 95% CI (6.6%, 3.2%) in men and 2.3%, 95% CI (3.4%, 1.3%) in women for educational attainment, 5.3%, 95% CI (7.2%, 3.6%) in men and 2.0%, 95% CI (2.9%, 1.1%) in women for occupational social class, and 4.9%, 95% CI (6.5%, 3.1%) and 1.9%, 95% CI (2.9%, 1.1%) combining the above two SES indicators.

CONCLUSIONS

SES is related to obesity through clustering health-related lifestyles, with greater emphasis on men. However, the complex relationship between SES and weight status also suggests other indicators that contribute to the social gradient of obesity.

A life course approach to asthma and wheezing among young children caused by ozone: A prospective birth cohort in northern China

BACKGROUND

Given differences in vulnerability of children in early life, a life course approach to asthma and wheezing (AW) in young children caused by ozone (O₃) is not fully understood.

METHODS

We conducted a birth cohort in Jinan, China from 2018 to 2021 to elucidate the onset model of childhood AW due to O₃ exposure. An inverse distance weighted model was used for individual exposure assessment. The time-dependent Cox proportional-hazard model and logistic model were used to investigate the effects of O₃ exposure on AW. Principal component analysis, interaction analysis, and distributed lag model were used to analyze the life course approach.

RESULTS

The cumulative incidence rate for AW among 6501 children aged 2 was 1.4%. A high level of O₃ was related to AW (HR: 2.10, 95% CI: 1.31, 3.37). Only O₃ exposure after birth was associated with AW, with an OR of 1.82 (1.08, 3.12), after adjusting for the effect before birth. Furthermore, adjusting for other air pollutants, the HR for the individual effect of high O₃ exposure on AW was 2.44 (1.53, 3.89). Interestingly, P values for interactions for O₃ and the principal components of other pollutants, as well as the characteristic variable of open windows were less than 0.1. Moreover, an increase in the IQR of O₃ exposure at the 31st to 37th weeks before birth and the 1st to 105th weeks after birth was associated with an increase in the HRs for AW.

CONCLUSIONS

High-level of O₃ exposure after birth could lead to AW among young children. Importantly, the AW onset model may include the risk factors accumulation and the sensitive period model. Specifically, there are two sensitive windows in early life, and the correlated insults between the high level of O₃ and other pollutants as well as open windows in the asthma-inducing effect.

Life-course socioeconomic conditions, multimorbidity and polypharmacy in older adults: A retrospective cohort study

Socioeconomic conditions across the life course may contribute to differences in multimorbidity and polypharmacy in old age. However, whether the risk of multimorbidity changes during ageing and whether life-course socioeconomic conditions are associated with polypharmacy remain unclear. We investigated whether disadvantaged childhood socioeconomic conditions (CSCs) predict increased odds of multimorbidity and polypharmacy in older adults, whether CSCs remain associated when adjusting for adulthood socioeconomic conditions (ACSs), and whether CSCs and ACSs are associated cumulatively over the life course. We used data for 31,432 participants (multimorbidity cohort, mean [SD] age 66·2[9] years), and 21,794 participants (polypharmacy cohort, mean age 69·0[8.9] years) from the Survey of Health, Ageing, and Retirement in Europe (age range 50-96 years). We used mixed-effects logistic regression to assess the associations of CSCs, ASCs, and a life-course socioeconomic conditions score (0-8; 8, most advantaged) with multimorbidity (≥2 chronic conditions) and polypharmacy (≥5 drugs taken daily). We found an association between CSCs and multimorbidity (reference: most disadvantaged; disadvantaged: odds ratio (OR) = 0·79, 95% confidence interval (CI) 0·70-0·90; middle: OR = 0·60; 95%CI 0·53-0·68; advantaged: OR = 0·52, 95%CI 0·45-0·60, most advantaged: OR = 0·40, 95%CI 0·34-0·48) but not polypharmacy. This multimorbidity association was attenuated but remained significant after adjusting for ASCs. The life-course socioeconomic conditions score was associated with multimorbidity and polypharmacy. We did not find an association between CSCs, life-course socioeconomic conditions, and change in odds of multimorbidity and polypharmacy with ageing. Exposure to disadvantaged socioeconomic conditions in childhood or over the entire life-course could predict multimorbidity in older age.

Lifecourse socioeconomic position and diabetes incidence in the REasons for Geographic and Racial Differences in Stroke (REGARDS) study, 2003 to 2016

Low socioeconomic position (SEP) across the lifecourse is associated with Type 2 diabetes (T2DM). We examined whether these economic disparities differ by race and sex. We included 5448 African American (AA) and white participants aged ≥45 years from the national (United States) REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort without T2DM at baseline (2003-07). Incident T2DM was defined by fasting glucose ≥126 mg/dL, random glucose ≥200 mg/dL, or using T2DM medications at follow-up (2013-16). Derived SEP scores in childhood (CSEP) and adulthood (ASEP) were used to calculate a cumulative (CumSEP) score. Social mobility was defined as change in SEP. We fitted race-stratified logistic regression models to estimate the association between each lifecourse SEP indicator and T2DM, adjusting for covariates; additionally, we tested SEP-sex interactions. Over a median of 9.0 (range 7-14) years of follow-up, T2DM incidence was 167.1 per 1000 persons among AA and 89.9 per 1000 persons among white participants. Low CSEP was associated with T2DM incidence among AA (OR = 1.61; 95%CI 1.05-2.46) but not white (1.06; 0.74-2.33) participants; this was attenuated after adjustment for ASEP. In contrast, low CumSEP was associated with T2DM incidence for both racial groups. T2DM risk was similar for stable low SEP and increased for downward mobility when compared with stable high SEP in both groups, whereas upward mobility increased T2DM risk among AAs only. No differences by sex were observed. Among AAs, low CSEP was not independently associated with T2DM, but CSEP may shape later-life experiences and health risks.

The characteristics of an obesogenic small European country: results from a Malta cross-sectional study

AIM

Obesity is a chronic disease and a global epidemic. The pathophysiology is well-documented; however, different countries are faced with different obesity characteristics. The aim was to establish the adult obesity characteristics of the obesogenic European country of Malta and explore for obesity links.

METHOD

A national representative health examination survey was conducted. A single-stage random stratified sample population (n = 4000) was obtained from a national register. Data on sociodemographic, comorbidities and lifestyle were collected. Body weight and height were measured, and blood collected for fasting glucose and lipid profile. Multiple binary logistic regression analyses through generalized linear models were performed to assess for associations between obesity, sociodemographic characteristics and dysglycaemic status.

RESULTS

Out of the study population (n = 3947), 69.75% (confidence interval (CI) 95%: 68.32-71.18) were obese, with a male predominance (55%). The obese category sub-population resided mostly (25.80%, CI 95%: 23.53-28.21) within the highly densely populated district (Northern Harbour) of Malta and had a 'routine and manual' social position (55.76%, CI 95%: 53.10-58.40). On multiple logistic regression modelling, an obese status was linked with males (odds ratio (OR): 1.8, CI 95%: 1.53-2.12, p < .01), age (OR: 1.01, CI 95%: 1.01-1.02, p < .01), Northern Harbour district (OR: 1.11, CI 95%: 0.91-1.36, p < .02), type 2 diabetes (OR: 2.46, CI 95%: 1.79-3.38, p < .01) and impaired fasting blood glucose (IFG: 1.31, CI 95%: 1.17-1.90, p < .01) after adjusting for confounders.

CONCLUSION

Obesity is a major health concern in Malta. Social determinants of health and metabolic changes appear to have a role in the obesity phenotype. Target actions that are gender-sensitive, social groups-focused and geographically oriented may be essential. The link between obesity and dysglycaemia brings forward the suggestion for incorporation of routine dysglycaemia screening during family doctors' consultations for patients with higher than normal body weight.

Body mass index and height in relation to type 2 diabetes by levels of intelligence and education in a large cohort of Danish men

Socioeconomic status (SES) is inversely associated with risks of type 2 diabetes (T2D). We investigated if young men's cognitive function, measured by intelligence test scores and educational level, as determinants of SES modified associations between body mass index (BMI) and height with the risk of T2D. 369 989 young men from the Danish Conscription Database born between 1939 and 1959 with information on measured height, weight, intelligence test scores, and education were linked to the Danish National Patient Register. During follow-up from 1977 through 2015, T2D was recorded in 32 188 men. Hazard ratios (HR) and 95% confidence intervals (95% CI) were estimated by Cox regressions. BMIs below-average (z-scores ≤ 0) were not related to risks of T2D. For BMIs above-average (z-scores > 0), positive associations between BMI and T2D were slightly stronger among men with higher intelligence test scores or longer educations than among men with lower levels of these factors (p_interaction-values < 0.004). Irrespective of BMI, incidence rates of T2D were higher among men with low levels of intelligence test score and education. Height was inversely associated with T2D (per z-score, HR = 0.96 (95% CI 0.95-0.97) and the association did not vary by intelligence test scores or education (all p_interaction-values > 0.59). While below-average BMI was not associated with T2D risk, above-average BMIs were and these association were stronger among men with high cognitive function. Nevertheless, T2D risk was higher at lower levels of cognitive function throughout the range of BMI. Height was inversely associated with T2D and it was not modified by cognitive function.

Life Course Socioeconomic Position, Allostatic Load, and Incidence of Type 2 Diabetes among African American Adults: The Jackson Heart Study, 2000-04 to 2012

Objective

We examined whether life course socioeconomic position (SEP) was associated with incidence of type 2 diabetes (t2DM) among African Americans.

Design

Secondary analysis of data from the Jackson Heart Study, 2000-04 to 2012, using Cox proportional hazard regression to estimate hazard ratios (HR) with 95% CI for t2DM incidence by measures of life course SEP.

Participants

Sample of 4,012 nondiabetic adults aged 25-84 years at baseline.

Outcome Measure

Incident t2DM identified by self-report, hemoglobin A1c ≥6.5%, fasting plasma glucose ≥126 mg/dL, or use of diabetes medication.

Results

During 7.9 years of follow-up, 486 participants developed t2DM (incidence rate 15.2/1000 person-years, 95% CI: 13.9-16.6). Among women, but not men, childhood SEP was inversely associated with t2DM incidence (HR=.97, 95% CI: .94-.99) but was no longer associated with adjustment for adult SEP or t2DM risk factors. Upward SEP mobility increased the hazard for t2DM incidence (adjusted HR=1.52, 95% CI: 1.05-2.21) among women only. Life course allostatic load (AL) did not explain the SEP-t2DM association in either sex.

Conclusions

Childhood SEP and upward social mobility may influence t2DM incidence in African American women but not in men.