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Child mortality differentials in Ghana: a preliminary report.

The relationship is examined of child mortality in Ghana with six socioeconomic factors: mother's type of place of residence, education, occupation and work status, and current husband's education and occupation. Using data from the 1979-80 Ghana Fertility Survey, Trussell's marriage duration model was employed to estimate probabilities of dying at exact ages 2 and 5 in different population subgroups. The two education variables (mother's and husband's education) have the largest effect on child mortality, followed by husband's occupation and mother's occupation, in that order. In order to reduce child mortality to tolerable levels, expansion is urgently required of the medical and health services, balanced by an equal development of education, particularly of girls, help being given especially to the rural areas where the majority of the population live.

Child↗

Seasonality of births among Bedouin Arabs residing in the Negev Desert of Israel.

From 1 January 1981 to 31 December 1982 information on all births to Bedouin Arab women residing in the Negev Desert of Israel showed a previously unreported seasonal pattern. The peak season, November-February, coincided with the period of cool temperatures and the Bedouin Arab cultural seasons of winter and spring. This pattern is different from those of Jewish and Christian groups in the same region, a difference not attributable to religion alone. Sociodemographic factors associated with the peak season of birth include traditional occupations of fathers, multiparae 2+, and traditional place of residence. This pattern has persisted over the past 15 years although it is less apparent among the more recently sedentarized Bedouin Arabs.

Birth Rate↗

Anthropometric indicators of nutritional status, socioeconomic factors and mortality in hospitalized children in Addis Ababa.

The influence of some household and maternal variables on three anthropometric nutritional status indices of hospitalized children in Addis Ababa, Ethiopia, are examined. On admission, only 30% of these children can be classified as being of a normal overall nutritional status. There are no significant differences in weight-for-age of hospitalized children between those residing in Addis Ababa and those residing in the rural areas. Income and father's occupation appear to be the major household factors influencing the level of two of the three indices (weight-for-age and weight-for-height). Length of last closed birth interval and, to a lesser degree, maternal age appear to have significant effects on all three nutritional status indices. Upon admission to hospital, children who will in the end survive their hospital stay are on average nutritionally normal or in a mild state of malnutrition, whereas children who will die during their stay arrive in a moderate or severe state of malnutrition. The degree of malnutrition is positively related to the risk of mortality in respiratory disease patients.

Anthropometry↗

Employment status, non-daytime work and gastric ulcer in men.

BACKGROUND: An excess risk of gastric ulcer (GU) (ICD-8: 531) has formerly been found in shift workers and ex-shiftworkers but little is known about the risk of GU associated with other forms of non-daytime work. This study deals with associations between non-daytime work and GU. METHODS: A fixed cohort of 122,116 men in occupations in which at least 20% had non-daytime work and a reference group of 593,281 men in occupations with daytime work only, was followed in the National Inpatient Register for first discharges with GU as the principal diagnosis. RESULTS: For men with daytime work only we found a steep inverse association between GU and employment status. Men in occupational groups with late evening work had a standardized hospitalization ratio (SHR) of 236 (90% confidence interval [Cl]: 184-299), groups working in rosters covering 24-hour services had an SHR of 147 (90% Cl: 116-183). A slightly raised risk of 114 (90% Cl: 101-128) was found in groups having other forms of non-daytime work. For all men in groups with non-daytime work we found a significant SHR of 130 (90% Cl: 118-142). CONCLUSION: We conclude that both low employment status and non-daytime work are associated with an increased risk of GU.

Adult↗

Comparing inequalities in women's and men's health: Britain in the 1990s.

Data on over 20,000 women and men aged 20-59 are analysed from the British General Household Survey for 1991 and 1992, showing the importance of separately analysing educational qualifications, occupational class and employment status for both women and men. Own occupational class and employment status are the key structural factors associated with limiting long-standing illness, but educational qualifications are particularly good predictors of women's self-assessed health. Class inequalities in health are less pronounced among women who are not in paid work. Women's limiting long-standing illness relates solely to their own labour market characteristics, whereas self-assessed health relates to wider aspects of women's everyday lives, including their household material conditions, and for married women, their partner's occupational class and employment status. Men's unemployment has adverse consequences for the health of their wives, which occurs through the mechanism of the family living in disadvantaged material circumstances. Women's labour market position and role in the family have undergone substantial changes since the 1970s. Approaches to measuring inequalities in women's health need to reflect changes in women's employment participation and changes in marital status and living arrangements.

Adult↗

Birth order, neuroticism, and psychoticism among Iranian children.

To investigate the effects of birth order, parents' education, and parents' occupation on four dimensions of the Junior Eysenck Personality Questionnaire, 262 elementary school students (100 boys and 162 girls) were selected randomly from four elementary schools in Shiraz. Analyses showed the main effects of birth order were significant on Neuroticism and Lie scales. Further, the effects of mothers' occupation on the Lie scale and fathers' education on the Neuroticism scale were significant.

Adolescent↗

Contribution of job strain, job status and marital status to laboratory and ambulatory blood pressure in patients with mild hypertension.

The effects of job strain, occupational status, and marital status on blood pressure were evaluated in 99 men and women with mild hypertension. Blood pressure was measured during daily life at home and at work over 15 h of ambulatory blood pressure monitoring. On a separate day, blood pressure was measured in the laboratory during mental stress testing. As expected, during daily life, blood pressure was higher at work than at home. High job strain was associated with elevated systolic blood pressure among women, but not men. However, both men and women with high status occupations had significantly higher blood pressures during daily life and during laboratory mental stress testing. This was especially true for men, in that men with high job status had higher systolic blood pressures than low job status men. Marital status also was an important moderating variable, particularly for women, with married women having higher ambulatory blood pressures than single women. During mental stress testing, married persons had higher systolic blood pressures than unmarried individuals. These data suggest that occupational status and marital status may contribute even more than job strain to variations in blood pressure during daily life and laboratory testing.

Adult↗

The size of mortality differences associated with educational level in nine industrialized countries.

OBJECTIVES: This study addresses the question of whether inequalities in premature mortality related to educational level differ among countries. METHODS: Data on mortality by educational level were obtained from longitudinal studies from nine industrialized countries. The data referred to men between 35 and 64 years of age. The follow-up periods occurred between 1970 and 1982. The size of mortality differences associated with educational level was measured by means of two inequality indices, both based on Poisson regression analysis. RESULTS: Inequalities in mortality are relatively small in the Netherlands, Sweden, Denmark, and Norway and about two times as large in the United States, France, and Italy. Finland and England and Wales occupy intermediate positions. The large inequalities in mortality in the United States and France can be attributed in part to large inequalities in education in these countries. CONCLUSIONS: The international pattern found in this study was also observed in a comparison that used occupation as the socioeconomic indicator. Differences between countries in levels of inequality in mortality may be partially explained by the countries' different levels of egalitarian social and economic policies.

Adult↗

Differentials in urban-rural fertility in the countries of the ESCAP region.

Fertility differentials between rural and urban populations are investigated using World Fertility Survey data for Bangladesh, Fiji, Indonesia, Malaysia, Nepal, Pakistan, the Philippines, the Republic of Korea, Sri Lanka, and Thailand. "The fertility measure used in this analysis is the number of children ever born to a woman. An attempt is made first to establish the differential in fertility levels between urban and rural areas after necessary control of the demographic factors..., and then the possible explanation of the differential is sought in terms of socio-economic variables such as education of the respondent, and occupation, work pattern, work status and place of work of the respondent as well as that of the husband." Data concerning the fertility differentials and the associated explanatory variables are presented in tables and charts. "The results tend to show that the countries of Asia are undergoing similar patterns of fertility transition as was experienced in the advanced countries. Perhaps one can graduate the countries in the transition scale as follows: Bangladesh, Indonesia, Nepal, Pakistan and Malaysia are in the initial stage; Fiji, the Philippines, the Republic of Korea, Sri Lanka and Thailand are in the middle stage of transition."

Age Factors↗