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1.
J Epidemiol Community Health ; 54(6): 437-43, 2000 Jun.
Article in English | MEDLINE | ID: mdl-10818119

ABSTRACT

STUDY OBJECTIVE: To determine the extent of the inequalities in self reported health between socioeconomic groups and its changes over time in the Basque Country (Spain). DESIGN: Cross sectional data on the association between occupation, education and income and three health indicators was obtained from the Basque Health Surveys of 1986 and 1992. Representative population samples were analysed. In 1986 the number of respondents was 24 657 and in 1992, 13 277. SETTING: Basque Country, Spain. MAIN OUTCOME MEASURES: The effect of socioeconomic position on health and the magnitude of social inequalities in health were quantified using the odds ratios based on logistic regression analysis, and the Relative Index of Inequality. RESULTS: As was expected, social inequalities in self reported health existed in both surveys, but the social gradient was greater in 1992. Social differences varied according to gender and health indicator. According to education an increase in social inequalities was observed consistently in all the health indicators except long term conditions in women. A consistent increase in inequalities in limiting longstanding illness was also observed according to all socioeconomic indicators. CONCLUSIONS: These results agree to a large extent with those of previous studies in other countries. In this context the unequal distribution of material circumstances and working conditions between socioeconomic groups seem to play a major part in health inequalities. The worsening of the labour market during this period and the onset of a new economic recession may explain the increase in social inequalities over time.


Subject(s)
Health Status , Socioeconomic Factors , Adolescent , Adult , Aged , Cross-Sectional Studies , Educational Status , Female , Humans , Income/statistics & numerical data , Male , Middle Aged , Sex Factors , Spain/epidemiology , Surveys and Questionnaires
2.
Gac Sanit ; 14(2): 146-55, 2000.
Article in Spanish | MEDLINE | ID: mdl-10804105

ABSTRACT

The identification and measurement of the population health needs should be the first step in health planning. In order to guarantee equity criteria, to know the situation of the whole population, and therefore also that of women, is a key issue. Health interview surveys are a good tool for pinpointing the needs of the population, but mainly they are usually focused on health risk factors that explain men's health status such as health behaviours and paid job. These factors often fail to capture aspects that are relevant for women's health, such as household work. The main objective of this paper is to emphasise the importance of a gender perspective in the design and analysis of health interview surveys, and to propose variables that should be included in health surveys in order to better know gender health inequalities. Likewise, this article deals with the gender concept and its importance as a health inequality factor. Gender is an analytical construct based on the social organisation of the sexes that can be used to better understand the conditions and factors influencing women's and men's health beginning by the social roles that each culture and society assigns to people based on their sex. Health is a complex process determined by a wide range of factors: biological, social, environmental and health services related factors. Gender, because of its close relation to all of them, plays a key role. The gender approach is characterised by the analysis of the social relation between men and women, taking into account that sex is a determinant of social inequalities. This paper presents the variables that health interview surveys should include from a gender approach point of view: reproductive work, productive work, social class, social support, self-perceived health status, quality of life, mental health and chronic conditions. In addition, issues related to the wording of questions, data collection and analysis are discussed.


Subject(s)
Health Surveys , Sex Factors , Aged , Female , Humans , Male , Spain , Women's Health
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