Relation of Sickness to Income and Income Change in 10 Surveyed Communities: Health and Depression Studies No. 1: Method of Study and General Results for Each Locality

Perrott, G. St. J.; Collins, Selwyn D.

doi:10.2307/4581530

Cited by 24 publications

(15 citation statements)

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“…The present article considers one of the most controversial hypotheses, known in the epidemiological literature as the health selection hypothesis or drift hypothesis (Stern, 1983;West, 1991;Blane, Davey Smith, & Bartley, 1993), which was first advanced in the 1930s (Perrot & Collins, 1935;Lawrence, 1948;Illsley, 1955;Morris & Heady, 1955;Perrot & Sydenstriker, 1955;Meadows, 1961;Goldberg & Morrison, 1963) and which argues that health status has a causal effect on individuals' chances of (inter-and intragenerational) social mobility. In other words, the selection hypothesis sees health as one of the factors responsible for ''barriers to social mobility'' (Giddens, 1973;Goldthorpe, 1980).…”

Section: Introductionmentioning

confidence: 99%

Social mobility and health in the Turin longitudinal study

Costa

Demaria

2004

Social Science & Medicine

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One of the most controversial explanations of class inequalities in health is the health selection hypothesis or drift hypothesis which suggests there is a casual link between the health status of individuals and their chances of social mobility, both inter-and intra-generational. This study tests this hypothesis, and tries to answer three related questions: (a) to what extent does health status influence the chances of intra-generational mobility of individuals? (b) what is the impact on health inequalities of the various kinds of social mobility (both mobility in the labour market and exit from employment)-do they increase or reduce inequalities? (c) to what extent does health-related intra-generational social mobility contribute to the production of health inequalities?The data analysed in this paper were drawn from the records of the Turin Longitudinal Study, which was set up to monitor health inequality of the Turin population by combining census data, population registry records and medical records. Occupational mobility was observed during the decade 1981-1991. To evaluate the impact of the various processes of social mobility on health inequalities, mortality was observed over the period [1991][1992][1993][1994][1995][1996][1997][1998][1999]. The study population consists of men and women aged 25-49 at the beginning of mortality follow-up (1991), and registered as resident in Turin at both the 1981 and the 1991 censuses (N ¼ 127;384). Health status was determined by observing hospital admission. For the purpose of the study healthy individuals were those with no hospital admissions during the period 1984-1986, while those admitted were classed as unhealthy. Social mobility in the labour market was measured via an interval data index of upward and downward movements on a scale of social desirability of occupations, designed for the Italian labour force via an empirical study carried out by de Lillo and Schizzerotto (La valutazione sociale delle occupazioni. Una scala di stratificazione occupazionale per l'Italia contemporanea, Il Mulino, Bologna, 1985). Movement out of the labour market was described by a discrete variable with four conditions: employed, unemployed, early retired and women returning from work to the housewife status. The relationship between health status and occupational mobility was analysed via analysis of variance and multinomial logistic regression. Health inequalities were measured by the ratio of standardised mortality rates in the unskilled working class and the upper middle class.The study found a weak relationship between health status and occupational mobility chances. Decidedly stronger was the impact on occupational mobility of gender, education and ''ethnicity'' (being born in the South of Italy). The relationship between occupational mobility and health takes two different forms. Occupational mobility in the labour market decreases health inequalities; occupational mobility out of the labour market (early retirement, unemployment, housewife return) widens them. Th...

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Section: Introductionmentioning

confidence: 99%

Social mobility and health in the Turin longitudinal study

Costa

Demaria

2004

Social Science & Medicine

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“…In order to avoid bias arising from seasonal variations, the present Negro sample is restricted to 1,348 families enumerated contemporaneously with white families included in a sickness survey conducted during the spring of 1933. For a description of the Harlem survey, see Kiser, C. 2 Excludes unknown occupations. The term "white-collar" is here used to include all workers other than skilled and unskilled laborers, that is, professional, proprietary, and clerical.…”

Section: Composition and Characteristics Of The Populationmentioning

confidence: 99%

“…The comparability of the surveyed groups in Central Harlem and the Lower East Side from the standpoint of occupational composition, 2 The complete survey covered 2,256 families and extended over a period of about nine months in 1933. In order to avoid bias arising from seasonal variations, the present Negro sample is restricted to 1,348 families enumerated contemporaneously with white families included in a sickness survey conducted during the spring of 1933.…”

Section: Composition and Characteristics Of The Populationmentioning

confidence: 99%

“…The basic data for Negroes relate to 1,348 families in Health Area 12 of Central Harlem and were collected by the Milbank Memorial Fund in collaboration with the Emergency Work and Relief Bureau of New York City. 2 Comparable data for white families were obtained in a sickness survey conducted by the United States Public Health Service and the Milbank Memorial Fund and relating to 7,436 families in poor areas of eight large cities, including 1,225 in the Lower East Side of New York City. A detailed description of the method and scope of the survey has been published previously (2).…”

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confidence: 99%

“…2 Comparable data for white families were obtained in a sickness survey conducted by the United States Public Health Service and the Milbank Memorial Fund and relating to 7,436 families in poor areas of eight large cities, including 1,225 in the Lower East Side of New York City. A detailed description of the method and scope of the survey has been published previously (2). In both investigations a complete record of illness occurring during the three months prior to the date of the survey was obtained for each member of the family.…”

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confidence: 99%

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