The public health impact of socioeconomic status on adolescent depression and obesity

OBJECTIVES: We examined the public health impact of the socioeconomic status (SES) gradient on adolescents' physical and mental health. METHODS: Population attributable risk (PAR) for household income and parental education were calculated relative to depression and obesity among a nationally representative sample of 15,112 adolescents. RESULTS: PARs for income and education were large. Across each gender and race/ethnicity group, the PAR for education tended to exceed that for income. For depression, the adjusted PAR for income was 26%, and the PAR for education was 40%; for obesity, the adjusted PAR for income was 32%, and the PAR for education was 39%. CONCLUSIONS: SES is associated with a large proportion of the disease burden within the total population.     

Socioeconomic differences in health among older adults in Mexico

Although the relationship between socioeconomic status (SES) and health is well-established in Western industrialized countries, few studies have examined this association in developing countries, particularly among older cohorts. We use the Mexican Health and Aging Study (MHAS), a nationally representative survey of Mexicans age 50 and older, to investigate the linkages between three indicators of SES (education, income, and wealth) and a set of health outcomes and behaviors in more and less urban areas of Mexico. We consider three measures of current health (self-rated health and two measures of physical functioning) and three behavioral indicators (obesity, smoking, and alcohol consumption). In urban areas, we find patterns similar to those in industrialized countries: higher SES individuals are more likely to report better health than their lower SES counterparts, regardless of the SES measure considered. In contrast, we find few significant SES-health associations in less urban areas. The results for health behaviors are generally similar between the two areas of residence. One exception is the education-obesity relationship. Our results suggest that education is a protective factor for obesity in urban areas and a risk factor in less urban areas. Contrary to patterns in the industrialized world, income is associated with higher rates of obesity, smoking, and excessive alcohol consumption. We also evaluate age and sex differences in the SES-health relationship among older Mexicans. The results suggest that further economic development in Mexico may lead to a widening of socioeconomic inequalities in health. The study also provides insight into why socioeconomic gradients in health are weak among Mexican-Americans and underscores the importance of understanding health inequalities in Latin America for research on Hispanic health patterns in the US.     

Mental health and socio-economic variations in Australian suicide

This paper investigates the relationship between suicide rates and prevalence of mental disorder and suicide attempts, across socio-economic status (SES) groups based on area of residence. Australian suicide data (1996-1998) were analysed in conjunction with area-based prevalences of mental disorder derived from the National Survey of Mental Health and Well-Being (1997). Poisson regression models of suicide risk included age, quintile of area-based SES, urban-rural residence, and country of birth (COB), with males and females analysed separately. Analysis focussed on the association between suicide and prevalences of (ICD-10) affective disorders, anxiety disorders, substance use disorders and suicide attempts by SES group. Prevalences of other psychiatric symptomatology, substance use problems, health service utilisation, stressful life-events and personality were also investigated. Significant increasing gradients were evident from high to low SES groups for prevalences of affective disorders, anxiety disorders (females only), and substance use disorders (males only); sub-threshold drug and alcohol problems and depression; and suicide attempts and suicide (males only). Prevalences of mental disorder, other sub-threshold mental health items and suicide attempts were significantly associated with suicide, but in most cases associations were reduced in magnitude and became statistically non-significant after adjustment for COB, urban-rural residence, and SES. For male suicide the relative risk (RR) in the lowest SES group compared to the highest was 1.40 (95% CI 1.29-1.52, p<0.001) for all ages, and 1.46 (95% CI 1.27-1.67, p<0.001) for male youth (20-34 years). This relationship was not substantially modified in males when regression models included prevalences of affective disorders, and other selected mental health variables and demographic factors. From a population perspective, SES remained significantly associated with suicide after controlling for the prevalence of mental disorders and other psychiatric symptomatology. Mental conditions and previous suicidal behaviour may play an intermediary role between SES and suicide, but this study suggests that an independent relationship between suicide and SES also exists.     

What does “occupation” represent as an indicator of socioeconomic status?: Exploring occupational prestige and health

The association between socioeconomic status (SES) and health has been widely documented. However, the role of occupation in this association is not clear because occupation is less often used than income and education as an indicator of SES, especially in the United States. This may be caused by the ambiguity in what occupation represents: both health-enhancing resources (e.g., self-affirmation) and health-damaging hazards (e.g., job stress). SES has two aspects: resources and status. While income and education represent resources and imply status, occupational prestige is an explicit indicator of the social status afforded by one’s occupation. Using data from the US General Social Survey in 2002 and 2006 (n = 3151), we examine whether occupational prestige has a significant association with self-rated health independent from other SES indicators (income, education), occupational categories (e.g., managerial, professional, technical, service), and previously established work-related health determinants (job strain, work place social support, job satisfaction). After all covariates were included in the multiple logistic regression model, higher occupational prestige was associated with lower odds of reporting poor/fair self-rated health. We discuss potential mechanisms through which occupational prestige may impact health. Our findings not only suggest multiple ways that occupation is associated with health, but also highlight the utility of occupational prestige as an SES indicator that explicitly represents social standing.     

What does “occupation” represent as an indicator of socioeconomic status?: Exploring occupational prestige and health

The association between socioeconomic status (SES) and health has been widely documented. However, the role of occupation in this association is not clear because occupation is less often used than income and education as an indicator of SES, especially in the United States. This may be caused by the ambiguity in what occupation represents: both health-enhancing resources (e.g., self-affirmation) and health-damaging hazards (e.g., job stress). SES has two aspects: resources and status. While income and education represent resources and imply status, occupational prestige is an explicit indicator of the social status afforded by one’s occupation. Using data from the US General Social Survey in 2002 and 2006 (n = 3151), we examine whether occupational prestige has a significant association with self-rated health independent from other SES indicators (income, education), occupational categories (e.g., managerial, professional, technical, service), and previously established work-related health determinants (job strain, work place social support, job satisfaction). After all covariates were included in the multiple logistic regression model, higher occupational prestige was associated with lower odds of reporting poor/fair self-rated health. We discuss potential mechanisms through which occupational prestige may impact health. Our findings not only suggest multiple ways that occupation is associated with health, but also highlight the utility of occupational prestige as an SES indicator that explicitly represents social standing.     

Parent's socioeconomic status,adolescents' disposable income,and adolescents' smoking status in Massachusetts

OBJECTIVES: This study examined the association between parental socioeconomic status (SES) and adolescent smoking. METHODS: We conducted telephone interviews with a probability sample of 1308 Massachusetts adolescents aged 12 to 17 years. We used multiple-variable-adjusted logistic regression models. RESULTS: The risk of adolescent smoking increased by 28% with each step down in parental education and increased by 30% for each step down in parental household income. These associations persisted after adjustment for age, sex, race/ethnicity, and adolescent disposable income. Parental smoking status was a mediator of these associations. CONCLUSIONS: Parental SES is inversely associated with adolescent smoking. Parental smoking is a mediator but does not fully explain the association.     

蚌埠地区青少年学生自杀意念和自杀未遂心理社会因素分析

目的了解蚌埠地区青少年自杀意念、自杀未遂的发生情况及其影响因素,为促进青少年心理健康发育和自杀行为的早期干预提供依据。方法在蚌埠地区抽取在校大中学生7104名进行问卷调查,对影响青少年学生自杀的心理社会因素进行统计学分析。结果有过自杀意念的报告率为28.4,近1年的自杀意念报告率为10.3。自杀未遂报告率为2.8。198名自杀未遂者中,自杀次数为1次的占67.2;最近一次发生在1年内的占50;自杀结局中有59.1的为放弃;17.1的学生自杀时的想死程度达50～74,9.6的青少年在当时自杀时的想死程度超过75。自杀意念的影响因素有性别、学习阶段、父亲文化程度、母亲文化程度、躯体亚健康状况、心理亚健康状况、焦虑、抑郁状况以及述情障碍等9个因素;自杀未遂的影响因素有性别、学习阶段、心理亚健康状况、焦虑、抑郁以及述情障碍等6个因素。结论家庭、学校和社会应针对青少年自杀的原因,积极采取干预措施,为青少年健康成长创造良好的环境,以降低青少年的自杀率。     

Childhood social and economic well-being and health in older age

Childhood socioeconomic status (SES) acts over a lifetime to influence adult health outcomes. Whether the impact of childhood SES differs by age or race/ethnicity is unclear. The authors studied 20,566 community-living US adults aged > or =50 years. Parental education was the main predictor. Outcomes evaluated (1998-2002) included self-reported health and functional limitation. The influence of childhood SES on later-life health was also examined in groups stratified by age and race/ethnicity, with adjustment for demographic factors and current SES. Participants' mean age was 67 years; 57% were women. By race/ethnicity, 76% were White, 14% were Black, and 8% were Latino. The relation between low parental education and fair/poor self-rated health declined with advancing age (age 50-64 years: adjusted odds ratio (AOR) = 1.42, 95% confidence interval (CI): 1.24, 1.63; age > or =80 years: AOR = 1.14, 95% CI: 0.96, 1.36). The relation between low parental education and fair/poor self-rated health differed across racial/ethnic groups and was significant in White (AOR = 1.33, 95% CI: 1.21, 1.47) and Black (AOR = 1.37, 95% CI: 1.14, 1.64) participants but not Latinos. These findings suggest that childhood SES affects health status through midlife but the effects may abate in late life; its effects also may be weaker in Latinos than in Whites or Blacks.     

Influence of individual- and area-level measures of socioeconomic status on obesity, unhealthy eating, and physical inactivity in Canadian adolescents

BACKGROUND: Low socioeconomic status (SES) is a risk factor for obesity. However, few studies have used a multilevel analysis to determine the influence of both individual- and area-level determinants of SES on obesity, and these studies have been limited to adults. OBJECTIVE: The primary objective was to examine associations between individual- and area-level measures of SES and obesity among adolescents by using a multilevel analytic approach. A secondary objective was to examine associations between individual- and area-level measures of SES with unhealthy eating and physical inactivity. DESIGN: The study sample consisted of 6684 youth in grades 6-10 from 169 schools across Canada. Individual-level SES exposures included material wealth and perceived family wealth. Area-level SES exposures included unemployment rate, percentage of adult residents with less than a high school education, and average employment income from head of household. Associations between SES and the outcome measures were examined by using multilevel logistic regression procedures that modeled students (individual level) nested within schools (area level). RESULTS: Both individual-level and all 3 area-level SES measures were inversely associated with obesity. The odds for unhealthy eating were increased for those living in an area with a low percentage of residents with a high school education. The odds of being physically inactive increased with decreasing levels of material wealth and perception of family wealth. CONCLUSIONS: Individual- and area-level SES measures were independently related to obesity, which suggests that both individual and environmental approaches may be required to curtail adolescent obesity.     

Socioeconomic status and health: the role of subjective social status

Studies have suggested that subjective social status (SSS) is an important predictor of health. This study examined the link between SSS and health in old age and investigated whether SSS mediated the associations between objective indicators of socioeconomic status and health. It used cross-sectional data from the second wave (2004-2005) of the English Longitudinal Study of Ageing, which were collected through personal interviews and nurse visits. The study population consisted of 3368 men and 4065 women aged 52 years or older. The outcome measures included: self-rated health, long-standing illness, depression, hypertension, diabetes, central obesity, high-density lipoprotein cholesterol, triglycerides, fibrinogen, and C-reactive protein. The main independent variable was SSS measured using a scale representing a 10-rung ladder. Wealth, education, and occupational class were employed as covariates along with age and marital status and also, in additional analyses, as the main independent variables. Gender-specific logistic and linear regression analyses were performed. In age-adjusted analyses SSS was related positively to almost all health outcomes. Many of these relationships remained significant after adjustment for covariates. In men, SSS was significantly (p相似文献   

A life course model of self-rated health through adolescence and young adulthood

This paper proposes and tests a life course model of self-rated health (SRH) extending from late childhood to young adulthood, drawing on three waves of panel data from the National Longitudinal Study of Adolescent Health (Add Health). Very little research has examined SRH during the early decades, or whether and how these self-assessments reflect experiences in the family of origin. Background characteristics (parental education, income, and family structure), parental health conditions (asthma, diabetes, obesity, migraines), and early health challenges (physical abuse, presence of a disability, and parental alcoholism and smoking) predict SRH from adolescence to young adulthood. These experiences in the family-of-origin are substantially mediated by the young person's health and health behaviors (as indicated by obesity, depression, smoking, drinking, and inactivity), although direct effects remain (especially for early health challenges). Associations between SRH and these mediators (especially obesity) strengthen with age. In turn, efforts to promote healthy behaviors in young adulthood, after the completion of secondary school, may be especially strategic in the promotion of health in later adulthood.     

Opposing socioeconomic gradients in overweight and obese adults

Objective: Investigate the relationship between socioeconomic status (SES) and prevalence of overweight and/or obesity, by sex, using total annual household income as the indicator of SES and the World Health Organization (WHO) recommended ranges of self‐reported Body Mass Index (BMI) as the indicator of overweight and/or obesity. Methods : Total annual household income and BMI data were obtained from the Victorian Population Health Survey (VPHS), an annual computer‐assisted telephone survey of the health and well‐being of Victorian adults aged 18 years and older. Statistical analysis was conducted using ordinary least squares linear regression on the logarithms of age‐standardised prevalence estimates of overweight (25.0–29.9 kg/m²), obesity (≥30.0 kg/m²), and overweight and obesity combined (≥25.0 kg/m²), by income category and sex. Results: Typical SES gradients were observed in obese males and females, where the prevalence of obesity decreased with increasing income. No SES gradient was observed in overweight females, however, a reverse SES gradient was observed in overweight males, where the prevalence of overweight increased with increasing income. Combining the overweight and obesity categories into a single group eliminated the typical SES gradients observed in males and females for obesity, and resulted in a statistically significant reverse SES gradient in males. Conclusions: Combining the BMI categories of overweight and obesity into a single category masks important SES differences, while combining the data for males and females masks important sex differences. BMI categories of overweight and obesity should be analysed and reported independently, as should BMI data by sex.     

Self-rated health and indicators of SES among the ageing in three types of communities

AIMS: This paper examines associations between self-rated health, three indicators of SES (self-reported education, disposable household income, adequacy of income) and three types of communities (urban, densely or sparsely populated rural areas) among ageing men and women in the Province of P?ij?t-H?me, Southern Finland. There is a lack of knowledge regarding the magnitude of community type when examining the relation between subjective health and SES. METHODS: Cross-sectional questionnaire data gathered in the spring of 2002 for a prospective follow-up of community interventions were used. These data, together with a number of clinical and laboratory measurements, yielded the baseline for a 10-year community intervention study. A representative stratified (age, gender, area) sample of men and women living in the province and belonging to the birth cohorts 1926-1930, 1936-1940, and 1946-1950 was obtained from the National Population Registry. The target sample was 4,272, with 2,815 persons responding (66% response rate). RESULTS: Positive associations between indicators of SES and self-rated health were observed in all three community types. After adjusting for other factors, adequacy of income showed the strongest (positive) association with self-rated health in urban areas in all age groups. A similar pattern of associations, with varying statistical significance, though, was found in the two rural areas. CONCLUSIONS: This study supports the view that while actual income is positively correlated to health, adequacy of income is an even stronger predictor of it. Thus, there was a significant link between better financial standing and good health among ageing people, especially in urban areas.     

Sociodemographics,self-rated health,and mortality in the US

Using data from the 1987 National Medical Expenditure Survey, a representative sample of US civilians, and their 5-year mortality, we examined the adjusted relationships among baseline self-reported health, derived from SF-20 subscales (health perceptions, physical function, role function and mental health) and sociodemographics (age, sex, race/ethnicity, income and education) and subsequent mortality. Included were 21,363 persons aged 21 and over, with complete follow-up on 19,812. Physical function showed the greatest decline with age, whereas mental health increased slightly. Women reported lower health for all scales except role function. Greater income was associated with better health, least marked for mental health. Greater education was associated with better health, most marked for health perceptions. Compared with whites, blacks reported lower health, whereas Latinos reported higher health. Lower self-reported health predicted increased adjusted mortality. After adjustment for baseline self-rated health, the relationships between income and education and mortality were greatly attenuated, whereas the relationships between age, gender, race/ethnicity and mortality were not. Self-rated health exhibited more profound relationships with mortality in younger persons, those with more education, and whites. In conclusion, lower socioeconomic status (SES), and being black are associated with lower reported health status and higher mortality; women report lower health status but exhibit lower mortality; and Latinos report higher health status and exhibit lower mortality. The effects of SES on mortality are largely explained by their associations with self-rated health, whereas, the effects of gender and race/ethnicity on mortality appear to act through independent pathways. Because of these differential sociodemographic relationships caution is urged when using self-rated health measures in research, clinical, and policy settings.     

Gender-related differences in the association between socioeconomic status and self-reported diabetes

BACKGROUND: The prevalence of diabetes has been steadily increasing in Western countries. We investigated the impact of socioeconomic status (SES) on the prevalence of self-reported diabetes, and its differences between genders. METHODS: Data for this investigation were derived from the second cycle of the National Population Health Survey conducted in 1996-1997. A total of 39 021 subjects (17 730 males and 21 291 females) >/=40 years of age who answered the question about diabetes were included in the present analysis. Educational attainment and income adequacy were used as indicators of SES. Multiple logistic regression models were constructed for men and women separately to assess the effects of SES on the prevalence of diabetes after adjustment for age, area of residence, body mass index, and physical activity. RESULTS: and The prevalence of diabetes was 6.6% among men and 5.5% among women. The CONCLUSIONS: prevalence increased with decreasing income category and educational attainment in both genders. The odds ratios for income and education in relation to diabetes after adjustment remained significant in women, but attained unity in men. Canadian women >/=40 years of age of low SES have a relatively high prevalence of diabetes, independent of age, area of residence, obesity, and physical inactivity.     

Does the predictive power of self-rated health for subsequent mortality risk vary by socioeconomic status in the US?

BACKGROUND: The purpose of this study is to test whether the predictive power of an individual's self-rated health (SRH) on subsequent mortality risk differs by socioeconomic status (SES) in the United States. METHODS: We use the National Health Interview Survey 1986-94 linked to Multiple Cause of Death Files 1986-97 (NHIS-MCD). Analyses are based on non-Hispanic Black and White adults 25 and older (n = 358,388). Cox proportional hazard models are used to estimate the effect of SRH on mortality risk during follow-up. Interactions of SRH and level of education and SRH and level of income are used to assess differences in the predictive power of SRH for subsequent mortality risk. RESULTS: The effect of SRH on subsequent mortality risk differs by level of education and level of income. Lower health ratings are more strongly associated with mortality for adults with higher education and/or higher income relative to their lower SES counterparts. CONCLUSIONS: Our findings suggest that individuals with different education or income levels may evaluate their health differently with respect to the traditional five-point SRH scale, and hence their subjective health ratings may not be directly comparable. These results have important implications for research that tries to quantify and explain socioeconomic inequalities in health based on self-rated health.     

Socioeconomic status, depression, and health service utilization among adolescent women.

This article examines relationships among socioeconomic status (SES), depression, and health services utilization among 5,735 adolescent women. In cross-sectional analyses, effects of SES on having obtained a routine physical examination and use of psychological/emotional counseling in the past year are examined. Then, longitudinal analyses determine the effects of health service utilization on depression at 1 year follow-up (T2) controlling for baseline depression and SES. SES was associated with medical but not mental health service use. SES and health service use independently predicted T2 depression and an income x baseline depression interaction was noted. The findings and their implications are discussed.     

Child-rearing attitudes and cardiovascular risk among children: moderating influence of parental socioeconomic status

BACKGROUND: We examined associations of parental socioeconomic status (SES) and hostile maternal child-rearing attitudes with the insulin resistance syndrome (IRS) precursors in children. METHODS: The participants were 210 randomly selected healthy boys and girls who participated in the epidemiological Cardiovascular Risk in Young Finns study and who were 3, 6, and 9 years of age at the three study phases. Hostile maternal child-rearing attitudes were self-rated by the mothers. SES consisted of the years of education of the parents and family income. The IRS comprised serum insulin, high-density lipoprotein cholesterol, triglycerides, systolic blood pressure, and body mass index. RESULTS: Among boys, low parental SES and strict maternal discipline were associated with heightened somatic risk. Among girls, parental SES moderated the association between maternal child-rearing attitudes and somatic risk so that belonging to a high-SES family seemed to protect the girls against the adverse health effects of hostile mothering. CONCLUSIONS: The findings indicate that the psychosocial environment is differentially related to girls' and boys' somatic risk. It is concluded that belonging to high social class may buffer against childhood stress, while belonging to low social class may enhance vulnerability to stressors in childhood.     

The association of sexual behaviors with socioeconomic status, family structure, and race/ethnicity among US adolescents

OBJECTIVES: This study assessed the relation of socioeconomic status (SES), family structure, and race/ethnicity to adolescent sexual behaviors that are key determinants of pregnancy and sexually transmitted diseases (STDs). METHODS: The 1992 Youth Risk Behavior Survey/Supplement to the National Health Interview Survey provided family data from household adults and behavioral data from adolescents. RESULTS: Among male and female adolescents, greater parental education, living in a 2-parent family, and White race were independently associated with never having had sexual intercourse. Parental education did not show a linear association with other behaviors. Household income was not linearly related to any sexual behavior. Adjustment for SES and family structure had a limited effect on the association between race/ethnicity and sexual behaviors. CONCLUSIONS: Differences in adolescent sexual behavior by race and SES were not large enough to fully explain differences in rates of pregnancy and STD infection. This suggests that other factors, including access to health services and community prevalence of STDs, may be important mediating variables between SES and STD transmission and pregnancy among adolescents.     

Municipal socioeconomic status and mortality in Japan: sex and age differences, and trends in 1973-1998

The purpose of this study was to examine the sex and age differences and the time trends in the association between municipal socioeconomic status (SES) and all-cause mortality across Japan from 1973 to 1998. Sex-specific mortality of municipalities (N=3319 in 1995) by age groups (total, under 75-year, and over 75-year populations) was linked to municipal SES indicators related to income, education, unemployment and living space, and two SES composite indices formulated by principle component analysis (Index 1 related to lower income and education, and Index 2 related to unemployment and overcrowding). The relation was assessed using mortality gradients by SES quintiles and Bayesian hierarchical Poisson regression. The results showed that a lower SES was related to higher mortality for all SES indicators and composite indices. The mortality gradient was steeper for the under 75-year population than the total and over 75-year populations, and the relation between mortality and income- and education-related indicators/index was stronger for males than for females. The time trend showed an increase in the relation for Index 2, while a decrease for Index 1. This study demonstrated that lower municipal SES had an adverse influence on population health, and the influence was marked for males and premature death. Although a substantial health disadvantage still remained in lower SES areas, the impact of SES factors on geographical health variation changed over time; the association with mortality has weakened for income and education, while it has strengthened for unemployment and living space.