Sozioökonomische Ungleichheiten in der subjektiven Gesundheit bei 11- bis 15-Jährigen in Deutschland. Eine Trendanalyse von 2002-2010

[Effects of poverty for health and health behavior of children and adolescents : Results from KiGGS Wave 2]

INTRODUCTION

Differences in the health status and health behavior of children and adolescents are analyzed, taking the income situation of the family into account.

METHOD

The data is based on the second wave of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS Wave 2, 2014-2017). Health outcomes are the subjective health, chronic health limitations, mental disorders, ADHD, consumption of fresh fruit, consumption of sugary soft drinks, physical activity, sports activity during leisure time, overweight, and obesity. The income situation is recorded using the equivalized household income.

RESULTS

Poor children and adolescents are more likely to have health problems than their peers from the middle- and, especially, the high-income group; their health behavior is less favorable. The biggest relative income-related differences are found in subjective health. With statistical control for parental education and occupational status, income-related differences in health status remain consistent while being significantly reduced for health behavior.

DISCUSSION

The results confirm that low family income has a significant impact on the health of children and adolescents. Partly, this also applies to their health behavior, whereby the observed differences between the income groups can be attributed mainly to parental education and occupational status. This shows once again that children and adolescents growing up in poverty should be a key target group for prevention and health promotion.

The Effects of Gender and Family Wealth on Sexual Abuse of Adolescents

Background: Sexual abuse and sexual assaults against adolescents are among the most significant threats to their health and well-being. Some studies have found poverty to be a risk factor for sexual abuse. The present study investigates the effects of gender and family affluence on the prevalence of sexual abuse of 15-year-old Icelanders in the 10th grade. Methods: The study is based on data collected for the Icelandic part of the Health Behaviour in School-aged Children study in 2014. Standardized questionnaires were sent to all students in the 10th grade in Iceland, of which 3618 participated (85% of all registered students in this grade). Results: Girls were more than twice as likely to be sexually abused as boys (20.2% versus 9.1%). Adolescents perceiving their families to be less well off than others were twice as likely to report sexual abuse as those of ample or medium family affluence. However, family affluence had more effect on the prevalence of abuse in girls than in boys. Conclusion: Female gender and low socioeconomic status may independently contribute to the risk of sexual abuse.

Health inequalities among children and adolescents in Germany. Developments over time and trends from the KiGGS study

This study examines the extent to which health inequalities among children and adolescents in Germany have developed over the past decade. The analyses are based on data from the German Health Interview and Examination Survey for Children and Adolescents (KiGGS), which are representative of the 0- to 17-year-old population in Germany. The KiGGS data were collected in three waves: the KiGGS baseline study (2003-2006), KiGGS Wave 1 (2009-2012) and KiGGS Wave 2 (2014-2017). Prevalences of five health outcomes are considered: general health, mental health problems, physical activity, the consumption of sugary soft drinks, and smoking. Moreover, it defines health inequalities in relation to differences in the socioeconomic status of the family (SES), an index derived from the parents’ level of education, occupation and income, and considers both absolute and relative health inequalities. In order to do so, the Slope Index of Inequality (SII) and the Relative Index of Inequality (RII) were calculated using linear probability or log-binomial models. Significant inequalities were identified to the detriment of young people from families with a low SES. These inequalities were particularly pronounced in the KiGGS Wave 2 data with regard to general health and the consumption of sugary soft drinks. Additionally, evidence from trend analyses for these two outcomes suggests that relative inequalities have increased. However, absolute inequalities decreased during the same period, and this also applies to smoking. The persistently high and, in some cases, widened levels of health inequalities indicate that adolescents from families with a low SES do not benefit to the same extent from disease prevention and health promotion measures for children and adolescents as young people from families with a higher SES.

Investigating equalisation of health inequalities during adolescence in four low-income and middle-income countries: an analysis of the Young Lives cohort study

OBJECTIVE

To investigate if socioeconomic gradients in health reduce during adolescence (the equalisation hypothesis) in four low-income and middle-income countries (LMIC).

SETTING

Analysis of the Young Lives Study cohorts in Ethiopia, Peru, Vietnam and India.

PARTICIPANTS

A total of 3395 participants (across the four cohorts) aged 6-10 years at enrolment and followed up for 11 years.

OUTCOMES MEASURED

Change in income-related health inequalities from mid-childhood to late adolescence. Socioeconomic status was determined by wealth index quartile. The health indicators included were self-reported health, injuries in the previous 4 years, presence of long-term health problems, low mood, alcohol use, overweight/obesity, thinness and stunting. The relative risk of each adverse health outcome between highest and lowest wealth index quartile were compared across four waves of the study within each country.

RESULTS

We found steep socioeconomic gradients across multiple health indicators in all four countries. Socioeconomic gradients remained similar across all waves of the study, with no significant decrease during adolescence.

CONCLUSION

We found no consistent evidence of equalisation for income-related health inequalities in youth in these LMIC. Socioeconomic gradients for health in these cohorts appear to persist and be equally damaging across the early life course and during adolescence.

Trends in social inequalities in adolescent health complaints from 1994 to 2010 in Europe, North America and Israel: The HBSC study

BACKGROUND

Studies have shown constant or increasing health inequalities in adulthood in the last decades, but less is known about trends in health inequalities among adolescents. The aim is to analyse changes in socioeconomic differences in subjective health complaints from 1994 to 2010 among 11- to 15-year-olds in Europe, North America and Israel.

METHODS

Data were obtained from the international 'Health Behaviour in School-aged Children' (HBSC) survey. Analyses were based on the HBSC surveys conducted in 1994 (19 countries), 1998 (25 countries), 2002 (32 countries), 2006 (37 countries) and 2010 (36 countries) covering a time period of up to 16 years. Log binomial regression models were used to assess inequalities in multiple health complaints. Socioeconomic position was measured using perceived family wealth.

RESULTS

Inequalities in multiple health complaints emerged in almost all countries, in particular since 2002 (RR 1.1-1.7). Trend analyses showed stable (29 countries), increased (5 countries), decreased (one country) and no social inequalities (2 countries) in adolescent health complaints.

CONCLUSION

In almost all countries, social inequalities in health complaints remained constant over a period of up to 16 years. Our findings suggest a need to intensify efforts in social and health policy to tackle existing inequalities.

[Differences in sociodemographic characteristics, health, and health service use of children and adolescents according to their health insurance funds]

Differences in the socioeconomic characteristics and morbidity between members of German private and statutory health insurance funds and also between several statutory health insurances have been shown for adults. We used data from the National Health Survey for Children and Adolescents (KiGGS) to study differences in sociodemographic characteristics, health risks, morbidity, and health service use in child and adolescent insurants of different types of health insurance funds (Ersatzkasse, Allgemeine Ortskrankenkasse, Betriebskrankenkasse , Innungskrankenkasse, other statutory health insurance funds, private health insurance). Differences in the proportion of respondents with a migration background, somatic diseases, psychopathological problems, and contact with a dentist between the different health insurance fund types were found. These results should be considered in studies on health inequalities, which often focus solely on differences between statutory and private health insurance. Our results are also of relevance for health services research using the claims data of health insurance funds.

Explaining educational inequalities in adolescent life satisfaction: do health behaviour and gender matter?

OBJECTIVES

There is little evidence on the explanation of health inequalities based on a gender sensitive perspective. The aim was to investigate to what extent health behaviours mediate the association between educational inequalities and life satisfaction of boys and girls.

METHODS

Data were derived from the German part of the Health Behaviour in School-aged Children (HBSC) study 2010 (n = 5,005). Logistic regression models were conducted to investigate educational inequalities in life satisfaction among 11- to 15-year-old students and the relative impact of health behaviour in explaining these inequalities.

RESULTS

Educational inequalities in life satisfaction were more pronounced in boys than in girls from lower educational tracks (OR 2.82, 95 % CI 1.97-4.05 and OR 2.30, 95 % CI 1.68-3.14). For adolescents belonging to the lowest educational track, behavioural factors contributed to 18 % (boys) and 39 % (girls) in the explanation of educational inequalities in life satisfaction.

CONCLUSIONS

The relationship between educational track and life satisfaction is substantially mediated by health-related behaviours. To tackle inequalities in adolescent health, behavioural factors should be targeted at adolescents from lower educational tracks, with special focus on gender differences.