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The College Health and Wellness Study: baseline correlates of overweight among African Americans.

Overweight and obesity are epidemic in the United States, particularly among minority populations. This epidemic contributes to the development of chronic conditions that occur later in life such as type 2 diabetes and hypertension. Therefore, it is important to identify factors associated with the development of obesity during young adulthood. We conducted a cross-sectional survey among students graduating from a Historically Black College or University (HBCU) in the Mid-Atlantic region. Participants were 392 predominantly African American seniors graduating in the spring of 2003. Data were collected using a self-administered paper and pencil questionnaire which focused on weight, weight management activities, individual and familial weight history, and health status indicators. Participants were on average 24 +/- 5 years of age and 69% female; over 90% identified as African American or Black. According to NIH guidelines, about 30% of males and 28% of females were considered overweight, 12% of males and 7% of females were considered obese, and 7% of males and females were considered extremely obese. Significant correlates of being more overweight were being married, having children, lower socio-economic status, weight-loss attempts, personal and family history of overweight, and poorer health status. These data suggest that among this sample, the prevalence of overweight and obesity is similar to other populations of young African American adults. Familial factors such as socio-economic status and family weight history were important correlates of overweight. Overweight is a significant problem in this population, and these data should be useful for developing weight loss interventions aimed at young adults.

Adult↗

Criterion-validity-based assessment of four scale constructs.

BACKGROUND: The aim of this study was to discuss, in general, selected crucial aspects of the appropriate methodology for the development and validation of scales indicating health status, and to illustrate this empirically by within-material comparison of the accuracy of four different scale constructs based on identical raw data. METHODS: The empirical example was based on information from the parents of 99 refugee children, aged 3-15 years, from the Middle East, who participated in a structured interview on their children's mental health. Following this, they were exposed to a blinded semi-structured psychological interview. Four anxiety scales were constructed based on answers to 12 anxiety symptom questions in the structured interview: Scale 1, by cumulation of original item scores, each ranging from 0 to 3; Scale 2, by counting the number of symptoms being present; Scale 3, by counting the number of frequent or intense anxiety symptoms; Scale 4, by estimation of the multivariate probability of the child being anxious, as assessed by the psychological interview. The scales were compared for their accuracy in the identification of children assessed as anxious by psychological interview. RESULTS: The four scales correlated mutually, and each of them was significantly associated with anxiety, as assessed by psychological interview. The weighted scale, however, performed significantly better than the unweighted scales for sensitivity but not for specificity. In the present data set the overall amount of misclassification was, however, significantly less than in the unweighted scales. CONCLUSION: As expected from theory, the weighted scale was found to be superior to the unweighted scales, in identifying the anxious children of the empirical example. In the presence of a blinded criterion measurement, empirical regression-based weighting of scale items thus constitutes an accessible and valid alternative to traditional methods of health and social scaling.

Adolescent↗

[Relationship between the development of the health status and the activity of the health care system in developed countries].

The question of the relationship between the evolution of health status and the activity of health care system in developed countries is treated frequently through epidemiological studies. However, there are numerous methodological difficulties linked to this type of investigation and it is not possible to give a certain answer to this question. Particular difficulties concern the choice of indicators (indicators of health status and indicators of health care system). This choice may influence largely the outcome of the results. If general mortality has tended to decline over the last thirty years, some causes of death have progressed and many studies show an increase of the level of morbidity and disabilities declared in the population and an increase of social disparities in health status. The analysis concerning the role of health care systems, in order to explain this evolution, does not lead to a single conclusion. Some works show the positive effect of the activity of health care systems (especially for infant mortality). According to other authors, the growth of chronic diseases must be considered as the negative aspect of the success obtained in the struggle against mortality. But above all, interpretation of results needs a continuous reference to methodologies used and it is only on this condition that such data may be useful for public health decisions.

Aged↗

Medical conditions, health status, and health services utilization.

Using data from the 1980 National Medical Care Utilization and Expenditure Survey (N = 11,530), four commonly used health status indicators are interpreted in terms of the underlying medical conditions they reflect. It is found that self-rated health status, role limitations, restricted activity days, and functional limitations measure similar conditions. These conditions tend to be chronic and severe; heart and cerebrovascular disease are especially associated with poor health as measured by all of the variables. Disability days is most likely to reflect acute, transitory morbidity. Practical suggestions for the appropriate use of the four variables are made. In addition, the conditions associated with the most ambulatory utilization of health services are identified. Among these conditions, those which are and are not measured adequately by the health status indicators are disclosed. It is concluded that the health status variables, either individually or as a group, do not measure many variations in health that are strongly related to utilization.

Activities of Daily Living↗

Health, biodiversity, and natural resource use on the Amazon frontier: an ecosystem approach.

This study aims to improve the health of rural Amazonian communities through the development and application of a participatory ecosystem approach to human health assessment. In the study area marked seasonal fluctuations dictate food availability, water quality and disease outbreak. Determining the causal linkages between ecosystem variables, resource use and health required a variety of forms of inquiry at multiple scales with local participation. Landscape spatial mapping of resource use demonstrated the diversity of the ecological resources upon which communities depend. Household surveys detailed family and individual consumption and production patterns. Anthropometric measurements, parasite loading, water quality and anemia levels were used as indicators of health status. This was complemented with an ethnographic and participatory health assessment that provided the foundation for developing community action plans addressing health issues. Discussion is focused on three attributes of an ecosystem approach; (a) methodological pluralism, (b) cross-scale interactions and (c) participatory action research.

Conservation of Natural Resources↗

Application of health status assessment measures in policy research.

The application of health status measures in policy research relies considerably on patterns of mortality, life expectancy, and health status indicators, such as hospital readmission and institutionalization rates. In recent years the state of the art in health status measurement has advanced substantially with the development of multidimensional measures with established reliability and validity. These newer measures have not found wide application in policy research. This may reflect many factors, including the complexity of these measures, the cost of data collection, and the perception that the health status scores are not easily interpreted. It also may reflect the perceived value of simpler and unidimensional measures of health that can be translated more readily into estimates of the need for health care services. A framework is proposed for the application of health status measures in policy research. This framework emphasizes the relationship between health status and the need for care, the measurement of unmet needs for care, and the role of health policy in assuring that services are available and appropriate to meet the needs for care. A case study is used to illustrate some of the issues in using health status indicators to measure needs for care and outcomes.

Aftercare↗

Serum proteins and zinc as parameters to monitor the health of children in a rural Tanzanian community.

Total protein concentration, zinc, prealbumin, albumin, alpha-1-, alpha-2-, beta- and gammaglobulin concentrations were measured in serum samples collected in three successive years (1982, 1983 and 1984) from children (1 month-15 years) of Kikwawila village, Tanzania. The analysis of a total of 1590 serum samples provided the baseline data for children living in a rural Tanzanian community. The total protein values and the concentrations of betaglobulin were within the range described for Caucasians. Albumin, prealbumin, alpha-1- and alpha-2-globulin concentrations were below these standard values. On the other hand the gammaglobulin concentration was twice as high. The concentrations of total protein, gammaglobulin and prealbumin correlated with age. From 1982 to 1983 a significant decrease of most of the serum components (incl. zinc) was observed, although in children older than 2 years the alpha-1-globulins increased. All values increased again from 1983 to 1984, except for the zinc concentration, which decreased further. The individual fluctuations were analysed by comparing paired values for the children participating in the period 1982-1983, or 1983-1984. The proportion of children showing large fluctuations, sometimes exceeding the selected limits of tolerance, was larger in the period 1982-1983 than 1983-1984. This was consistent with the overall pattern found for all children. The prealbumin level, which has been postulated to be an indicator for malnutrition or borderline malnutrition, was analysed in detail. The values were far below normal values (200-300 mg/l), reaching a plateau with 130 mg/l among 4-6-year-old children. The individual fluctuations indicated a decrease from 1982 to 1983, which was considerable both in terms of the proportion of children showing a decrease (55%) and in the magnitude of the decrease. There was an increase from 1983 to 1984 but this increase did not compensate for the loss in 1983. Prealbumin concentrations showed a slight trend towards decreased values with stunting and wasting. No direct correlation was found between the other biochemical parameters and the parasite or anthropometric data collected at the same time. It was difficult to establish direct relationships between the biochemical parameters, which mainly indicate the health status of the child at the time-point of the survey, and anthropometric parameters which reflect the history of the individual over a long period. No direct correlation could be established between the biochemical parameters and the parasitological data.(ABSTRACT TRUNCATED AT 400 WORDS)

Adolescent↗

Progress towards achieving health for all New Zealanders by the year 2000.

New Zealand has been faced in recent years with a serious failure to maintain its relative position, in comparison to other OECD countries, in its social, economic and health status indicators. Although health costs so far have been successfully controlled, through a largely capitation funded service, its health organisational problems are typical of developed countries including major problems of equity and efficiency. Despite these problems some important recent initiatives give optimism for future health improvement. These include the spread of the service concept through service development groups and moves towards decentralisation through area health boards. Population-based funding of hospital and area health boards, supplemented with service planning guidelines, has proved to be an important lever for change. Maori health initiatives are beginning to show the way to improving the status of this disadvantaged section of society and perhaps for other New Zealanders as well. Important issues yet to be faced include establishing an effective central organisation for the health services, education and training for leadership and a more central place for the still largely fragmented and isolated primary health care services.

Delivery of Health Care↗

State-specific prevalence of selected health behaviors, by race and ethnicity--Behavioral Risk Factor Surveillance System, 1997.

PROBLEM/CONDITION: In the United States, disparities in risks for chronic disease (e.g., diabetes, cardiovascular disease, and cancer) and injury exist among racial and ethnic groups. This report summarizes findings from the 1997 Behavioral Risk Factor Surveillance System (BRFSS) of the distribution of access to health care, health-status indicators, health-risk behaviors, and use of clinical preventive services across five racial and ethnic groups (i.e., whites, blacks, Hispanics, American Indians or Alaska Natives, and Asians or Pacific Islanders) and by state. REPORTING PERIOD COVERED: 1997. DESCRIPTION OF SYSTEM: The BRFSS is a state-based telephone survey of the civilian, noninstitutionalized, adult (i.e., persons aged > or = 18 years) population. In 1997, all 50 states, the District of Columbia, and Puerto Rico participated in the BRFSS. RESULTS: Variations in risk for chronic disease and injury among racial and ethnic groups exist both within states and across states. For example, in Arizona, 11.0% of whites, 26.2% of Hispanics, and 50.5% of American Indians or Alaska Natives reported having no health insurance. Across states, the median percentage of adults who reported not having this insurance ranged from 10.8% for whites to 24.5% for American Indians or Alaska Natives. Other findings are as follows. Blacks, Hispanics, American Indians or Alaska Natives, and Asians or Pacific Islanders were more likely than whites to report poor access to health care (i.e., no health-care coverage and cost as a barrier to obtaining health care). Blacks, Hispanics, and American Indians or Alaska Natives were more likely than whites and Asians or Pacific Islanders to report fair or poor health status, obesity, diabetes, and no leisure-time physical activity. Blacks were substantially more likely than other racial or ethnic groups to report high blood pressure. Among all groups, American Indians or Alaska Natives were the most likely to report cigarette smoking. Except for Asians or Pacific Islanders, the median percentage of adults who reported not always wearing a safety belt while driving or riding in a car was > or = 30%. The Papanicolaou test was the most commonly reported screening measure: > or = 81% of white, black, and Hispanic women with an intact uterine cervix reported having had one in the past 3 years. Among white, black, and Hispanic women aged > or = 50 years, > or = 63% reported having had a mammogram in the past 2 years. Approximately two thirds of white, black, and Hispanic women aged > or = 50 years reported having had both a mammogram and a clinical breast examination in the past 2 years; this behavior was least common among Hispanics and most common among blacks. Screening for colorectal cancer was low among whites, blacks, and Hispanics aged > or = 50 years: in each racial or ethnic group, < or = 20% reported having used a home-kit blood stool test in the past year, and < or = 30% reported having had a sigmoidoscopy within the last 5 years. INTERPRETATION: Differences in median percentages between racial and ethnic groups, as well as between states within each racial and ethnic group, are likely mediated by various factors. According to published literature, socioeconomic factors (e.g., age distribution, educational attainment, employment status, and poverty), lifestyle behaviors (e.g., lack of physical activity, alcohol intake, and cigarette smoking), aspects of the social environment (e.g., educational and economic opportunities, neighborhood and work conditions, and state and local laws enacted to discourage high-risk behaviors), and factors affecting the health-care system (e.g., access to health care, and cost and availability of screening for diseases and health-risk factors) may be associated with these differences. ACTION TAKEN: States will continue to use the BRFSS to collect information about health-risk behaviors among various racial and ethnic groups. (ABSTRACT TRUNCATED)

Black or African American↗

Health assessment in the Framingham Offspring Study: a research proposal.

This paper proposes that a broader health assessment be made in the Framingham Offspring/Spouse Study than is undertaken in the Framingham Study. The Offspring Study is composed of the children (and their spouses) of the members of the original Framingham Study cohort. The Offspring population has a broader age range and an average age that is approximately 30 years younger than the original parent cohort. Therefore, mortality and morbidity measures, which were used as indices of health status for the parent cohort and which focus on the negative "sickness" component of health, are less appropriate for use in this relatively healthy population. Thus, we propose a broader conceptual framework of health that emphasizes the positive "wellness" side of the health continuum. The essential components of the comprehensive health index we describe include global health perceptions, measures of physical, mental, and social functioning across valued social roles, the ability to withstand stress as mediated by the coping process and social resources, and the assessment of genetic, behavioral, and physiological risk factors. One purpose of the proposal is to stimulate discussion in the hope of achieving general agreement regarding a shared conceptual frame of reference that would guide the development and testing of a reliable and valid health status instrument.

Activities of Daily Living↗

[The perinatal situation in France. Trends between 1981 and 1995].

OBJECTIVES: Assess the main indicators of health status and medical practice at delivery and to determine the feasibility of a routine national survey. POPULATION AND METHOD: A survey conducted in 1995 concerned all live births and stillbirths occurring within one week. The sample included 13,147 women in metropolitan France. The results were compared with those of earlier national perinatal surveys. RESULTS: Since 1981, the perinatal situation in France has shown a rise in maternal age at delivery, development of prenatal care (particularly the number of visits), and an increase in the number of procedures at delivery, notably induction. The preterm delivery calculated for all births has remained unchanged: 5.6% in 1981 and 5.9% in 1995, but the proportion of infants weighing less than 2500 g has increased from 5.2% to 6.2%. CONCLUSION: The 1995 national perinatal survey in France, based on all births during one week and involving minimal data collection has provided a representative sample of births and information well adapted to surveillance of the main health and medical practice parameters. This type of survey should become routine and serve as a basic element for epidemiological surveillance.

Adult↗

A comparison of two models for scaling health indicators.

The measurement properties of a health status indicator are closely related to the scaling model on which it is based. The Thurstone and Bradley-Terry models are applied to paired comparisons data which had been used to scale the sleep category of the Nottingham Health Profile. The data in their original form are shown to be inadequately represented by either model. Weaknesses in the data are identified and the two scaling models are applied to the amended data. The results of applying two sets of scale values are compared.

Health Status Indicators↗

Community indicators of health-related quality of life--United States, 1993-1997.

It is known that persons' longevity is affected by the environmental and population characteristics of their community. Studies that identify community-level characteristics associated with the health-related quality of life (HRQOL) of residents could help guide local health planning. Data from the Behavioral Risk Factor Surveillance System (BRFSS) for 1993-1997 indicate that HRQOL differs among U.S. counties according to county population size. In addition, socioeconomic and health status indicators, such as poverty, noncompletion of high school, unemployment, number of persons with severe work disabilities, mortality, and births to adolescents, also might affect county-level HRQOL differences. This report examines initial findings on the relation between selected community health status indicators (CHSIs) and the mean number of days that persons aged > or =18 years reported ill health (i.e., unhealthy days), a surveillance measure of population HRQOL. The findings suggest that CHSIs may be useful in the public health planning process.

Adult↗

A classification of sociomedical health indicators: perspectives for health administrators and health planners.

The conceptualization and operationalization of measures of health status are considered. Health indicators are conceived as a subset of social indicators, and therefore, as any social indicator, they are viewed as derivative from social issues. The interrelationships of different frames of reference for defining and measuring health that have accompained three distinct health problem patterns in the United States are viewed from a developmental perspective. Mortality and morbidity rates, the traditional health indicators, by themselves no longer serve to assess health status in developed nations. Their deficiencies as indicators serve as background for a classification schema for sociomedical health status indicators that relates health definition frames of reference, measures of health status, and health problems. The role of a group of health indicators-sociomedical heath indicators-in the current formulation of health status measures is assessed.

Classification↗