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Teresa Spadea

Publications and source records attributed to Teresa Spadea.

10 recordsLinked to original sources

[Healthy life expectancy in the occupied segment of the Turin population].

BACKGROUND: The indicators of healthy life expectancy measure differences in health among various population subgroups more sensitively than do indicators of mortality. OBJECTIVES: The aim of the study was to analyze some of the above indicators to evaluate the differences among occupational categories in Turin. METHODS: Mortality tables by occupation were calculated on Turin residents, aged 18-64 years in 1991, using the Turin Longitudinal Study which combines personal, census, and health information for the residents of the city. Longitudinal assessments of health expectancy were obtained by means of record-linkage with the Cancer Registry, the Diabetes Registry, and hospital discharge records. In addition, prevalence estimates of good health, disability, and chronic illness, obtained from ISTAT (Central Statistics Institute) investigations in 1999-2000 were combined with mortality data using Sullivan's algorithm. RESULTS: Among men there was a systematic disadvantage in almost all indicators of health expectancy for some manual occupations, while jobs requiring more qualifications were more advantaged. The health profile for women was more controversial, with an overall disadvantage among women who were professional consultants, although this group showed substantial variability: the legal professions had the lowest life and health expectancies, with approximately 3 years of life less than the health professions, which were among the most advantaged. DISCUSSION: The various indicators gave results which were at times conflicting, especially because the information obtained from the available sources had major limitations. The development of indicators needs to aim for greater homogeneity between mortality and health data to ensure maximum comparability.

Adolescent↗

Trends in socioeconomic inequalities in self-assessed health in 10 European countries.

BACKGROUND: Changes over time in inequalities in self-reported health are studied for increasingly more countries, but a comprehensive overview encompassing several countries is still lacking. The general aim of this article is to determine whether inequalities in self-assessed health in 10 European countries showed a general tendency either to increase or to decrease between the 1980s and the 1990s and whether trends varied among countries. METHODS: Data were obtained from nationally representative interview surveys held in Finland, Sweden, Norway, Denmark, England, The Netherlands, West Germany, Austria, Italy, and Spain. The proportion of respondents with self-assessed health less than 'good' was measured in relation to educational level and income level. Inequalities were measured by means of age-standardized prevalence rates and odds ratios (ORs). RESULTS: Socioeconomic inequalities in self-assessed health showed a high degree of stability in European countries. For all countries together, the ORs comparing low with high educational levels remained stable for men (2.61 in the 1980s and 2.54 in the 1990s) but increased slightly for women (from 2.48 to 2.70). The ORs comparing extreme income quintiles increased from 3.13 to 3.37 for men and from 2.43 to 2.86 for women. Increases could be demonstrated most clearly for Italian and Spanish men and women, and for Dutch women, whereas inequalities in health in the Nordic countries showed no tendency to increase. CONCLUSIONS: The results underscore the persistent nature of socioeconomic inequalities in health in modern societies. The relatively favourable trends in the Nordic countries suggest that these countries' welfare states were able to buffer many of the adverse effects of economic crises on the health of disadvantaged groups.

Educational Status↗

Mortality and educational level among diabetic and non-diabetic population in the Turin Longitudinal Study: a 9-year follow-up.

BACKGROUND: People in a lower social position have a higher prevalence of unhealthy behaviour, more difficult access to healthcare, and lower compliance with drug treatment; as a consequence, social differences in mortality are likely to be higher in people with diabetes compared with the non-diabetic population. We compared diabetics with non-diabetics in terms of mortality and social differences in mortality. METHODS: In all, 31 264 residents in Turin (northern Italy), who were > or =20 years old, registered in the local diabetes register between 1991 and 1999. They were followed up from recruitment to December 1999, and their cause-specific mortality by educational level was analysed. This was compared with that of the local non-diabetic population. Diabetes was classified as type 1 (< or =35 years at diagnosis) or type 2 (>35 years). RESULTS: For type 1 diabetes, the all-cause standardized mortality ratio (SMR) was 197.6 (95% CI:155.7, 247.4) in men and 336.0 (95% CI:259.3, 428.2) in women; for type 2 diabetes, the all-cause SMR was 142.8 (95% CI:138, 147.6) in men and 143.4 (95% CI:138.5, 148.5) in women. Whereas social differences in mortality were evident among non-diabetic men and women for all causes of death considered, no significant differences were found among diabetic women. Mortality was slightly increased among less educated diabetic men, particularly for neoplasms, although this gradient was less steep than that among non-diabetics. CONCLUSIONS: These results suggest that the regular clinical follow-up and health education provided by the local network of diabetic centres might play an important role in confronting the adverse effects of diabetes and in reducing social differences in health.

Adult↗

Educational level and stroke mortality: a comparison of 10 European populations during the 1990s.

BACKGROUND AND PURPOSE: Variations between countries in occupational differences in stroke mortality were observed among men during the 1980s. This study estimates the magnitude of differences in stroke mortality by educational level among men and women aged >or=30 years in 10 European populations during the 1990s. METHODS: Longitudinal data from mortality registries were obtained for 10 European populations, namely Finland, Norway, Denmark, England/Wales, Belgium, Switzerland, Austria, Turin (Italy), Barcelona (Spain), and Madrid (Spain). Rate ratios (RRs) were calculated to assess the association between educational level and stroke mortality. The life table method was used to estimate the impact of stroke mortality on educational differences in life expectancy. RESULTS: Differences in stroke mortality according to educational level were of a similar magnitude in most populations. However, larger educational differences were observed in Austria. Overall, educational differences in stroke mortality were of similar size among men (RR, 1.27; 95% CI, 1.24 to 1.30) and women (RR, 1.29; 95% CI, 1.27 to 1.32). Educational differences in stroke mortality persisted at all ages in all populations, although they generally decreased with age. Eliminating these differences would on average reduce educational differences in life expectancy by 7% among men and 14% among women. CONCLUSIONS: Educational differences in stroke mortality were observed across Europe during the 1990s. Risk factors such as hypertension and smoking may explain part of these differences in several countries. Other factors, such as socioeconomic differences in healthcare utilization and childhood socioeconomic conditions, may have contributed to educational differences in stroke mortality across Europe.

Adult↗

Choosing immunisation coverage indicators at the local level.

BACKGROUND: The reliability of information sources, as well as the precision of coverage indicators are open questions for immunisation coverage surveys. METHODS: A sample survey of 323 children from two birth cohorts (1991-1992 and 1979-1981) was done. The sample was selected from seven health districts out of 51 in the Lazio region. The information was collected from vaccination cards or from parents, using a mail-in questionnaire. We computed three indicators of coverage at 24 months of age for polio, diphtheria-tetanus, pertussis (P), hepatitis B, and measles (M), depending on the value given to parental recall. We also compared up-to-date (UTD) (immunised children at 24 months) and age-appropriate (months at risk per child) indicators at the local level. RESULTS: Response rate was 68.2%. The two birth cohorts were similarly immunised for polio (coverage 95%); the younger cohort had higher coverage levels for diphtheria-tetanus (93% vs. 75%), for P (30% vs. 22%), for M (43% vs. 16%) than the older one, even on the basis of parental recall. In the older cohort, diphtheria-tetanus, P and M coverage levels were 75, 22 and 15%, respectively, on the basis of parental recall and 66, 17 and 4% on certification. The age-appropriate indicator revealed four districts that completed vaccinations significantly too late, while the UTD indicator showed only one district significantly below the threshold of 95% of immunized children at 24 months. CONCLUSIONS: Parental recall and data from cards are comparable sources, but the former is more sensitive than the latter in retrospective studies. Verbal recall should be accepted as reasonably reliable in the absence of cards. Age-appropriate indicators give a more complete evaluation of the susceptibility in the population, and are more precise at the local level.

Adolescent↗

Inequalities in lung cancer mortality by the educational level in 10 European populations.

Previous studies have shown that due to differences in the progression of the smoking epidemic European countries differ in the direction and size of socioeconomic variations in smoking prevalence. We studied differences in the direction and size of inequalities in lung cancer mortality by the educational level of subjects in 10 European populations during the 1990's. We obtained longitudinal mortality data by cause of death, age, sex and educational level for 4 Northern European populations (England/Wales, Norway, Denmark, Finland), 3 continental European populations (Belgium, Switzerland, Austria), and 3 Southern European populations (Barcelona, Madrid, Turin). Age- and sex-specific mortality rates by educational level were calculated, as well as the age- and sex-specific mortality rate ratios. Patterns of educational inequalities in lung cancer mortality suggest that England/Wales, Norway, Denmark, Finland and Belgium are the farthest advanced in terms of the progression of the smoking epidemic: these populations have consistently higher lung cancer mortality rates among the less educated in all age-groups in men, including the oldest men, and in all age-groups in women up to those aged 60-69 years. Madrid appears to be less advanced, with less educated men in the oldest age-group and less educated women in all age-groups still benefiting from lower lung cancer mortality rates. Switzerland, Austria, Turin and Barcelona occupy intermediate positions. The lung cancer mortality data suggest that inequalities in smoking contribute substantially to the educational differences in total mortality among men in all populations, except Madrid. Among women, these contributions are probably substantial in the Northern European countries and in Belgium, but only small in Switzerland, Austria, Turin and Barcelona, and negative in Madrid. In many European countries, policies and interventions that reduce smoking in less educated groups should be one of the main priorities to tackle socioeconomic inequalities in mortality. In some countries, particularly in Southern Europe, it may not be too late to prevent women in less educated groups from taking up the smoking habit, thereby avoiding large inequalities in mortality in the future in these countries.

Adult↗

Validity and reliability of the Italian translation of the MOS-HIV health survey in persons with AIDS.

OBJECTIVES: To evaluate the validity and reliability of the Italian version of the 35-item Medical Outcome Study HIV Health Survey (MOS-HIV) when applied to persons with AIDS. METHODS: The study population consisted of 185 adults with AIDS residing in Rome and participating in a randomised controlled trial on home-care. Diagnosis was made between 1 October 1994 and 1 April 1996, and enrollment took place within 2 months of diagnosis. The MOS-HIV, which measures 10 dimensions of health-related quality of life (QoL), was administered at baseline and every 3 months thereafter during the 1-year follow-up. Tests of convergent and concurrent construct validity were conducted for all scales. RESULTS: Of the 185 trial participants, 146 responded to the questionnaire; 82 responded at least twice (including baseline collection) during follow-up. For the role functioning, general health, and vitality scales, the distribution of scale scores was concentrated at the lower half of the range. Internal consistency reliability was adequate (>0.80) for all scales. Baseline scores tended to increase with decreasing AIDS severity and with increasing age. There were improvements over time in the role functioning, vitality, and health distress scales. CONCLUSIONS: The MOS-HIV had good reliability among persons with AIDS. There was a moderate floor effect for some of the subscales. Tests of convergent and construct validity were generally confirmed. Additional studies are needed to evaluate the responsiveness to changes over time.

Adult↗

Individual and contextual determinants of inequalities in health: the Italian case.

The geographic distribution of health status across Italian regions shows a North-South gradient, with better conditions in the North for both males and females. Using data from the 2000 National Health Interview Survey, the authors first analyze the geographic variation in subjective health and presence of chronic conditions, with specific attention to the effects of individual and area-based socioeconomic conditions and their heterogeneity across regions. The results suggest the North-South gradient in health is mainly affected, at least for subjective health, by the different composition of macro-areas with respect to individual education, and is slightly influenced by contextual circumstances. Moreover, being less educated results in poorer health in some regions (mainly South and Isles) than in others (mainly Northeast). The authors next analyze the circumstances affecting the presence of more disadvantaged people in the South, to highlight features of the Southern context that might exacerbate social inequalities in health and features of Northern areas that might allay them. Indicators of inequalities, welfare, labor, and power resources were analyzed. The results confirm the disadvantage of the South in terms of social, economic, and cultural features, mainly revealing the compositional effects found in the first part of the study. However, the contextual predictive value of income inequalities, quality of care, and social cohesion can have a supplementary effect on health outcomes of disadvantaged persons.

Adolescent↗

Association between social class and food consumption in the Italian EPIC population.

AIMS AND BACKGROUND: The objectives of the present study were to validate the social stratification variables adopted by the European Prospective Investigation into Cancer and Nutrition (EPIC) by comparing them with data from another independent source and to evaluate the geographic and social distribution of eating habits in the Italian EPIC population. METHODS: The validation of the socioeconomic data collected by the EPIC study was performed with the Turin Longitudinal Study as gold standard and using Cohen's kappa statistics to evaluate the concordance between the studies. We then analyzed food groups based on the consumption of meat and fats, carbohydrates, sweets and alcohol, and on an index of the Mediterranean diet. The standardized scores for each food group were subdivided into quartiles, which were used to compare persons in the extreme quartiles. Analysis of the differences in eating habits by center and by educational level was conducted separately for men and women, calculating the prevalence rate ratios and controlling for age, area of birth and body mass index. RESULTS: Concordance between the two data sources was high for educational level and low for the social-class index based on occupation. Most of the eating habits considered to be potentially harmful (high consumption of meat or fats and alcohol and low consumption of olive oil and fish) were more frequent in Northern than in Southern Italy. These habits were inversely correlated with educational level, especially in the South. CONCLUSIONS: A significant improvement in health could be obtained in the Italian population if culturally and socioeconomically disadvantaged individuals were to abandon their diet rich in meat and fats, as done by more advantaged persons. In the absence of preventive interventions specifically addressed to disadvantaged groups, it is likely that social inequalities in mortality and morbidity will increase.

Adult↗

[Inequalities in health in Italy].

Socioeconomic inequality and its impact on health is a growing concern in the European public health debate. In many countries, the issue is moving away from description towards the identification of the determinants of inequalities and the development of policies explicitly aimed at reducing inequalities in health. In Italy, ten years after the publication of the first report on inequalities in health, this topic is seldom present on the agenda of public policy makers. The purpose of this report is to update the Italian profile of social variation in health and health care in order to stimulate the debate on ways to tackle inequalities in health that are preventable. In the first section of this book, the threefold objective is to describe the principal mechanisms involved in the generation of social inequalities in health (Introduction); to report Italian data on the distribution and magnitude of this phenomenon in the last decade; and to evaluate policies and interventions in both the social (chapter 1.9, Section I) and the health sector (chapter 2.3, Section I), which are potentially useful to reduce health inequalities. It is intended for anyone who is in a position to contribute t o decision-making that will benefit the health of communities. For this reason, chapters are organized by specific determinants of inequalities on which interentions may have an impact. The methodological approach in the second section focuses on the best methods to monitor social inequalities including recommendations on social indicators, sources of information and study models, based on European guidelines revised for the Italian situation. According to data from national and local studies, mortality increases linearly with social disadvantage for a wide range of indicators at both the individual (education, social class, income, quality of housing) and the geographical level (deprivation indexes computed at different levels of aggregation). This positive correlation is evident for both sexes, with the steepest gradient observed among adults of working age, although differences persist also among the elderly. The causes of death found to be most highly correlated with social inequality, and largely responsible for the increasing inequality over the last decade, are those associated with addiction and exclusion (drug, alcohol and violence related deaths), with smoking (lung cancer) and with safety in the workplace and on the roads (accidents). Similar gradients and trends have been observed with different outcomes, such as self-reported morbidity, disability and cancer incidence (chapter 1.1, Section I). Reproductive outcomes confiirm this picture: compared to women belonging to the upper classes, those women in low conditions experience more spontaneous abortions and their children suffer from higher infant mortality and low birth weight. This is a critical issue since poor infant health, particularly for metabolic and respiratory pathologies, affects health in adult life. There is now substantive evidence showing that also socioeconomic circumstances at birth or during adolescence may have a strong impact on adult health (chapter 1.2, Section I). Differences in harmful lifestyles, such as smoking, heavy drinking, drug use, unhealthy diet, obesity and physical inactivity, have a similar effect. The only exception is smoking among women, which is positively correlated with socioeconomic status; however, since women in the upper classes have a greater tendency to quit smoking, the gradient will soon be reversed (chapter 1.7, Section I). On the other hand, most of these behaviours do not follow from free and conscious individual choice; they are a form of adaptation to chronic stress originating in the work-place (chapter 1.4, Section I), or to particularly unfavourable events and conditions, such as unemployment (chapter 1.5, Section I) or lack of family and social support (chapter 1.6, Section I). Poor socioeconomic circumstances are the threshold of absolute poverty and may lead to social exclusion, a condition with a heavy impact on health, which in Italy includes marginal groups of the native population and broader classes of immigrants (chapter 1.3, Section I). Finally, there is recent and consistent evidence on the existence of a "contextual" effect on health, as opposed to the "compositional" effect given solely by the aggregation of individual processes. According to this hypothesis, characteristics of the infrastructure, and the physical and socioeconomic environment of an area would have an impact on individual health independent from the cultural and economic resources personally available to people living in that area (chapter 1.8, Section I). With respect to the health care system, various studies are in agreement in demonstrating that poor and less educated people have inadequate access both to primary prevention and early diagnosis (chapter 2.1, Section I), and to early and appropriate care (chapter 2.2, Section I). They also experience higher rates of hospitalization, particularly in emergencies and with advanced levels of severity.

Adolescent↗