New Insights in Hidradenitis Suppurativa from a Population‐based Dutch Cohort: Prevalence, Smoking Behaviour, Socioeconomic Status and Comorbidities

This study proposes age- and sex-specific percentiles for serum cobalamin and folate, and analyzes the effects of sex, age, body mass index (BMI), and socioeconomic status (SES) on cobalamin and folate concentrations in healthy children and adolescents. In total, 4478 serum samples provided by healthy participants (2 months–18.0 years) in the LIFE (Leipzig Research Centre for Civilization Diseases) Child population-based cohort study between 2011 and 2015 were analyzed by electrochemiluminescence immunoassay (ECLIA). Continuous age-and sex-related percentiles (2.5th, 10th, 50th, 90th, 97.5th) were estimated, applying Cole’s LMS method. In both sexes, folate concentrations decreased continuously with age, whereas cobalamin concentration peaked between three and seven years of age and declined thereafter. Female sex was associated with higher concentrations of both vitamins in 13- to 18-year-olds and with higher folate levels in one- to five-year-olds. BMI was inversely correlated with concentrations of both vitamins, whilst SES positively affected folate but not cobalamin concentrations. To conclude, in the assessment of cobalamin and folate status, the age- and sex-dependent dynamic of the respective serum concentrations must be considered. While BMI is a determinant of both vitamin concentrations, SES is only associated with folate concentrations.

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Changes in cannabis use according to socioeconomic status among Finnish adolescents from 2000 to 2015

Journal of Cannabis Research ◽

10.1186/s42238-020-00052-y ◽

2020 ◽

Vol 2 (1) ◽

Author(s):

Noora Knaappila ◽

Mauri Marttunen ◽

Sari Fröjd ◽

Nina Lindberg ◽

Riittakerttu Kaltiala

Keyword(s):

Socioeconomic Status ◽

Parental Education ◽

Population Based ◽

Cannabis Use ◽

Chi Square ◽

Socioeconomic Groups ◽

Parental Unemployment ◽

The Usa ◽

Chi Square Test ◽

School Survey

Abstract Background Despite reduced sanctions and more permissive attitudes toward cannabis use in the USA and Europe, the prevalences of adolescent cannabis use have remained rather stable in the twenty-first century. However, whether trends in adolescent cannabis use differ between socioeconomic groups is not known. The aim of this study was to examine trends in cannabis use according to socioeconomic status among Finnish adolescents from 2000 to 2015. Methods A population-based school survey was conducted biennially among 14–16-year-old Finns between 2000 and 2015 (n = 761,278). Distributions for any and frequent cannabis use over time according to socioeconomic adversities were calculated using crosstabs and chi-square test. Associations between any and frequent cannabis use, time, and socioeconomic adversities were studied using binomial logistic regression results shown by odds ratios with 95% confidence intervals. Results At the overall level, the prevalences of lifetime and frequent cannabis use varied only slightly between 2000 and 2015. Cannabis use was associated with socioeconomic adversities (parental unemployment in the past year, low parental education, and not living with both parents). The differences in any and frequent cannabis use between socioeconomic groups increased significantly over the study period. Conclusions Although the overall changes in the prevalence of adolescent cannabis use were modest, cannabis use increased markedly among adolescents with the most socioeconomic adversities. Socioeconomic adversities should be considered in the prevention of adolescent cannabis use.

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Neighbourhood maternal socioeconomic status indicators and risk of congenital heart disease

BMC Pregnancy and Childbirth ◽

10.1186/s12884-020-03512-8 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Qun Miao ◽

Sandra Dunn ◽

Shi Wu Wen ◽

Jane Lougheed ◽

Jessica Reszel ◽

...

Keyword(s):

Socioeconomic Status ◽

Congenital Heart Disease ◽

Heart Disease ◽

Household Income ◽

Congenital Heart ◽

Population Based ◽

Income Poverty ◽

Lower Odds ◽

Logistic Regression Models ◽

Chd Risk

Abstract Background This study aimed to examine the relationships between various maternal socioeconomic status (SES) indicators and the risk of congenital heart disease (CHD). Methods This was a population-based retrospective cohort study, including all singleton stillbirths and live births in Ontario hospitals from April 1, 2012 to March 31, 2018. Multivariable logistic regression models were performed to examine the relationships between maternal neighbourhood household income, poverty, education level, employment and unemployment status, immigration and minority status, and population density and the risk of CHD. All SES variables were estimated at a dissemination area level and categorized into quintiles. Adjustments were made for maternal age at birth, assisted reproductive technology, obesity, pre-existing maternal health conditions, substance use during pregnancy, rural or urban residence, and infant’s sex. Results Of 804,292 singletons, 9731 (1.21%) infants with CHD were identified. Compared to infants whose mothers lived in the highest income neighbourhoods, infants whose mothers lived in the lowest income neighbourhoods had higher likelihood of developing CHD (adjusted OR: 1.29, 95% CI: 1.20–1.38). Compared to infants whose mothers lived in the neighbourhoods with the highest percentage of people with a university or higher degree, infants whose mothers lived in the neighbourhoods with the lowest percentage of people with university or higher degree had higher chance of CHD (adjusted OR: 1.34, 95% CI: 1.24–1.44). Compared to infants whose mothers lived in the neighbourhoods with the highest employment rate, the odds of infants whose mothers resided in areas with the lowest employment having CHD was 18% higher (adjusted OR: 1.18, 95% CI: 1.10–1.26). Compared to infants whose mothers lived in the neighbourhoods with the lowest proportion of immigrants or minorities, infants whose mothers resided in areas with the highest proportions of immigrants or minorities had 18% lower odds (adjusted OR: 0.82, 95% CI: 0.77–0.88) and 16% lower odds (adjusted OR: 0.84, 95% CI: 0.78–0.91) of CHD, respectively. Conclusion Lower maternal neighbourhood household income, poverty, lower educational level and unemployment status had positive associations with CHD, highlighting a significant social inequity in Ontario. The findings of lower CHD risk in immigrant and minority neighbourhoods require further investigation.

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Hidradenitis suppurativa and socioeconomic status

International Journal of Dermatology ◽

10.1111/ijd.15781 ◽

2021 ◽

Author(s):

Adrian Michel Joseph Bailey ◽

Heidi Oi‐Yee Li ◽

Sophia Colantonio

Keyword(s):

Socioeconomic Status ◽

Hidradenitis Suppurativa

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Association between socioeconomic status and self-reported, tested and diagnosed COVID-19 status during the first wave in the Northern Netherlands: a general population-based cohort from 49 474 adults

BMJ Open ◽

10.1136/bmjopen-2020-048020 ◽

2021 ◽

Vol 11 (3) ◽

pp. e048020

Author(s):

Yinjie Zhu ◽

Ming-Jie Duan ◽

Hermien H. Dijk ◽

Roel D. Freriks ◽

Louise H. Dekker ◽

...

Keyword(s):

Socioeconomic Status ◽

General Population ◽

Low Income ◽

Smoking Status ◽

Sleep Time ◽

Population Based ◽

Lifestyle Factors ◽

Self Report ◽

Low Education ◽

Tv Watching

ObjectivesStudies in clinical settings showed a potential relationship between socioeconomic status (SES) and lifestyle factors with COVID-19, but it is still unknown whether this holds in the general population. In this study, we investigated the associations of SES with self-reported, tested and diagnosed COVID-19 status in the general population.Design, setting, participants and outcome measuresParticipants were 49 474 men and women (46±12 years) residing in the Northern Netherlands from the Lifelines cohort study. SES indicators and lifestyle factors (i.e., smoking status, physical activity, alcohol intake, diet quality, sleep time and TV watching time) were assessed by questionnaire from the Lifelines Biobank. Self-reported, tested and diagnosed COVID-19 status was obtained from the Lifelines COVID-19 questionnaire.ResultsThere were 4711 participants who self-reported having had a COVID-19 infection, 2883 participants tested for COVID-19, and 123 positive cases were diagnosed in this study population. After adjustment for age, sex, lifestyle factors, body mass index and ethnicity, we found that participants with low education or low income were less likely to self-report a COVID-19 infection (OR [95% CI]: low education 0.78 [0.71 to 0.86]; low income 0.86 [0.79 to 0.93]) and be tested for COVID-19 (OR [95% CI]: low education 0.58 [0.52 to 0.66]; low income 0.86 [0.78 to 0.95]) compared with high education or high income groups, respectively.ConclusionOur findings suggest that the low SES group was the most vulnerable population to self-reported and tested COVID-19 status in the general population.

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