Prices, infrastructure, household characteristics and child height.
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Pregnancy outcome has been studied in terms of legal abortions, early spontaneous abortions and total number of pregnancies (in an ad hoc study covering 6 counties) as well as various perinatal health problems (on the basis of routinely recorded data for epidemiological surveillance from the Medical Birth Registry of Norway). Apparently, no effects were observed in terms of an increased occurrence of legal abortions, while spontaneous abortions increased from 7.2% of all pregnancies during the last 12 months before the accident to 8.3% after the accident [corrected]. At the same time, the total number of pregnancies somewhat decreased. Based on monthly measurements in each municipality of external and internal (food-based) doses, dose-response associations were assessed for a number of perinatal health problems. No associations were observed.
The annual and monthly distributions of congenital abnormalities and pregnancy outcomes as confounding factors were evaluated in Hungary in reflection of the accident at the Chernobyl reactor. The different congenital abnormality entities and the components of fetal radiation syndrome did not show a higher rate after the Chernobyl accident in the data-set of the Hungarian Congenital Abnormality Registry. Among confounding factors, the rate of induced abortions did not increase after the Chernobyl accident in Hungary. In the 9th month after the peak of public concern (May and June, 1986) the rate of livebirths decreased. Three indicator conditions: 15 sentinel anomalies as indicators of germinal dominant gene mutations, Down syndrome as an indicator of germinal numerical and structural chromosomal mutations, and unidentified multiple congenital abnormalities as indicators of germinal dominant gene and chromosomal mutations were selected from the material of the Hungarian Congenital Abnormality Registry. Diagnoses were checked, familial and sporadic cases were separated and only the sporadic cases were evaluated. The analysis of indicator conditions did not reveal any measurable germinal mutagenic effect of the Chernobyl accident in Hungary.
Based on a one-year weekly home surveillance study, morbidity patterns of 1,304 children under five years of age in a rural Ethiopian community were measured, together with nutritional and health behavioural determinants. Using Poisson regression models, the study showed that nutritional and health care factors make a significant impact on under-five morbidity. Gastroenteritis was particularly associated with child care factors, while acute respiratory infections were particularly associated with nutritional factors. Lack of immunization, low birthweight and pre-term delivery (more than one month early) were not found to have any independent effect on morbidity. Breast feeding was universal, but the introduction of supplementary foods was found to protect from excess morbidity. The study concludes by discussing possible applications of the results in intervention programmes.
Retrospective and prospective data collected in Cameroon were used to reassess hypotheses about how infant and early childhood mortality is affected by birth spacing and breast-feeding. These data show that: (a) a short preceding birth interval is detrimental for child survival in the first 4 months of life; (b) full and partial breast-feeding have direct protective effects on child survival in the first 4-6 months of life, with the effects of the former stronger than those of the latter; (c) early subsequent conception significantly increases mortality risks in the first 16 months of life of the index child. These findings are robust to various controls, e.g. study design, data defects, child's health conditions at/around birth, postnatal maternal and child recurrent illnesses, patterns of utilisation of health care services, and immunisation status of the child.
"This analysis examines the institutional context of infant mortality in Peru using economic, social, health care, and public health measures as indicators of development and equity. Using linked data from population and economic censuses, government agencies, and health surveys on twenty-four Peruvian provinces, I explore how economic development and institutional contexts influence health outcomes. Regional inequities based on rural population, subsistence activity, women's illiteracy, monthly income, Gross Domestic Product, medical care, and health facilities are compared. Then a cluster analysis identifies institutional contexts that have internal similarities.... My conclusion is that understanding regional inequities--defined in terms of economic development, social institutions, and health services--leads to enhanced explanations of disparities in health outcomes."
A descriptive account of factors that influence women's health in Tanzania is given. The social and cultural processes that enhance or undermine women's health are emphasized. Recommendations for changes to improve women's health are made.
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BACKGROUND: Proteomic profiling offers thorough insights into protein structure and function, as well as it acts as an essential approach for analyzing molecular changes at the tissue level. However, because of the proteome's diversity and dynamic nature, biomarker discovery remains challenging. By combining proteomics with bioinformatics, the level of understanding in relation to molecular interactions and disease processes can be improved. Through an integrative approach, few limitations can be addressed, thereby promoting proteomic profiling for the discovery of new therapeutic targets and novel biomarkers for a variety of disorders. AIM: To identify differentially expressed protein markers and their key molecular pathways associated with Oral Potentially Malignant Disorders. METHODS: Systematic Review was conducted following the PRISMA guidelines and the protocol registered in the International Prospective Register of Systematic Reviews (PROSPERO) with the registration ID number CRD42024557545. A comprehensive literature review was performed using electronic databases, yielding 12,797, studies from which 15 eligible articles were selected. The Newcastle-Ottawa Scale was used to assess the risk of bias. Vote counting was performed to identify proteins reported in more than one study. A bipartite network was constructed using Cytoscape to identify shared and disease-specific protein markers. Lesion-wise protein-protein interaction networks were generated using STRING and analysed in Cytoscape to identify highly interconnected hub proteins, and pathway enrichment analysis for these hubs was performed using Reactome. RESULTS: A total of fifteen studies (Leukoplakia (LK) - n = 1, Proliferative Verrucous Leukoplakia (PVL) - n = 2, Oral Submucous Fibrosis (OSMF) - n = 7, and Oral Lichen Planus (OLP) - n = 5) were included. The Newcastle-Ottawa Scale was used to evaluate methodological quality and the quality of studies included in this systematic review was high for 4 articles and moderate in the remaining 11. The most commonly employed technique was mass spectrometry. A total of 318 candidate proteins (LK - 14, PVL - 82, OSMF - 172, and OLP - 50) were identified across the oral potentially malignant disorders. Key markers identified through vote counting included ERO1A, NUCB1, RHOA, and IL36A for PVL; LUM, KRT1, KRT9, ALB, and VIM for OSMF; and ALB, LYZ, HP, HBB, and AMY1A for OLP. The bipartite network showed that OSMF and OLP shared the highest number of proteins, indicating the strongest overlap among lesions. Network analysis further highlighted distinct hub proteins for each lesion: for LK- AMY1A, AMY1B and APOA1; for PVL- CFL1, RHOA and CDC42; for OSMF- HSP90AA1, ENO1 and SERPINA1; and for OLP- HP, B2M, and ORM1. Lesion-specific pathway enrichment revealed that LK was associated with epithelial differentiation, PVL with oncogenic signaling, OSMF with stress-driven fibrosis, and OLP with immune-mediated inflammation. CONCLUSIONS: Proteomic expression offers insights into disease pathogenesis by identifying important molecular changes across OPMDs. However, the majority of biomarkers are still in the exploratory stage due to the considerable variation in lesion types, sample sources, proteomic techniques, and reporting systems. In order to create reliable and clinically applicable biomarkers, future studies should concentrate on combining multi-omics techniques with large-scale, standardized cohorts.
This article examines the prevalence of age-related diseases in different socioeconomic and demographic groups. The study is based on a sample of 267 aged persons (> 60 years) collected through a survey entitled "Aging and Health Conditions in Rural Area-A Sample Survey, 1990" conducted in the rural areas of the Varanasi district of Uttar Pradesh, a northern province of India. Various socio-behavioral factors are found to play a significant role in determining the health conditions of aged people. Also, illiteracy and poverty are found to have their own impact on health during aging. It is also noted that due to adverse familial relationships, many stress-related disorders occur which may result in the poor health of the elderly. Demands for old age pensions were made by most of the elderly people in the sample.
The health status of women is examined within the context of a global political economy. The authors present a beginning attempt to model some key macrolevel processes linked to the health of women. In particular, a structural modeling technique known as LVPLS (or "soft modeling") is used to empirically test one recent formulation of world-system theory. The findings give added emphasis to the importance of the larger economic forces that affect women's health.
This article presents the basic elements for developing a theory of the health transition. Such elements include the definition of concepts, the specification of a framework on the determinants of health status, the analysis of the mechanisms through which health change occurs in populations, the characterization of the attributes that allow us to identify different transition models, and the enumeration of the possible consequences of the transition. The propositions are presented with a sufficient level of generality as to make them applicable to different contexts; at the same time, an attempt is made to provide them with the necessary specificity to account for different national experiences, thus opening a space for future comparative research efforts. Through the systematization exercise presented in this article, we hope to contribute to the progress of a topic that has grown in importance during recent years. Such importance is due to the enormous potential that health transition theory has for understanding and transforming the growing complexity of our times.
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"To develop a calculation method for healthy life expectancy which would be suitable for China we analyzed the healthy life expectancy of urban residents in China, employing data on residents' deaths and data available from the 1993 national survey for health services and family health conditions.... Results of the study show that the ratio of healthy life expectancy to life expectancy decreases with the increase of the residents' age; healthy life expectancy for females is higher than that for males; [and] healthy life expectancy for residents of large cities is lower than that for residents of medium and small cities."
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"Labour migration to the Middle East from Sri Lanka has been increasing in recent times. Such a situation has not only demographic, but economic and social implications.... [The author investigates the] impact on the health situation of the migrant workers as well as on the families that they have left behind...by reviewing [the literature] and by making use of the author's own personal experiences as a physician in the Middle East."