Designing ergonomic toilets and bathrooms for older adults: A study on anthropometric dimensions and recommendations.

AIMS: This study aimed to evaluate the ergonomic design of toilets and bathroom equipment for older adults using anthropometric measurements. DESIGN: This was a descriptive cross-sectional study. METHODS: Data were collected from 2,721 people aged ≥ 65 years in Turkey. Fourteen anthropometric measurements were evaluated. Body dimension characteristics were described using minimum, maximum, and arithmetic means and standard deviations and the 5th, 25th, 50th, 75th, and 95th percentiles. RESULTS: The measurements showed that companies generally do not design bathroom toilet equipment that is suitable for older adults. CONCLUSION: This study provides advice to designers and manufacturers on how to adapt their products to the bathroom according to users' body characteristics in order to increase person-environment fit for older people.

Biological ancestries, kinship connections, and projected identities in four central Anatolian settlements: insights from culturally contextualized genetic anthropology.

Previous population genetics studies in Turkey failed to delineate recent historical and social factors that shaped Anatolian cultural and genetic diversity at the local level. To address this shortcoming, we conducted focused ethnohistorical fieldwork and screened biological samples collected from the Yuksekyer region for mitochondrial, Y chromosome, and autosomal markers and then analyzed the data within an ethnohistorical context. Our results revealed that, at the village level, paternal genetic diversity is structured among settlements, whereas maternal genetic diversity is distributed more homogenously, reflecting the strong patrilineal cultural traditions that transcend larger ethnic and religious structures. Local ancestries and origin myths, rather than ethnic or religious affiliations, delineate the social boundaries and projected identities among the villages. Therefore, we conclude that broad, ethnicity-based sampling is inadequate to capture the genetic signatures of recent social and historical dynamics, which have had a profound influence on contemporary genetic and cultural regional diversity.

Y-chromosome and autosomal STR diversity in four proximate settlements in Central Anatolia.

Due to the longstanding human presence in the region and the influence of social traditions, the genetic make-up of populations currently inhabiting Turkey (Anatolia) is quite complex. To characterize the patterns of genetic diversity in rural Central Anatolian villages, we analyzed samples collected at four local settlements for variation at 17 Y-chromosome STR and 15 autosomal STR loci. The resulting data reveal considerable diversity within these settlements, as well as some structure in the paternal genetic variation, with a limited number of haplotypes being shared between the communities. These findings have important implications for forensic studies of Turkish populations.

Squatting facet: a case study Dilkaya and Van-Kalesi populations in eastern Turkey.

Anomalies of the skeleton provide information on living conditions, cultural structure and health problems in ancient societies. Squatting facet is a kind of anomaly that forms on the surfaces where the tibia and talus articulate is the squatting facet states the daily activities and living style of the society. The aim of this study is to learn the daily activities of the medieval societies in the Van region through studying of squatting facets. In this study, adult skeletons from Dilkaya and Van Kalesi-Eski Van Sehri societies dating to the Medieval Age were investigated (65 tibia and 82 tali from Dilkaya, 61 tibia and 52 tali from Van Kalesi-Eski Van Sehri). The lateral squatting facet had high ratios in both societies. The tibia lateral squatting facet found on females and males of Dilkaya was 97.2% and 96.9%, respectively, and on females and males of Van kalesi Eski Van Sehri was 87.5% and 89.2%, respectively. The talus lateral squatting facet found on females and males of Dilkaya was 72.1% and 51.3%, respectively, and on females and males of Van kalesi Eski Van Sehri was 91.2% and 83.7%, respectively. The results provide an opportunity to study the relationship between past and modern population, and also describe the daily activity of life and cultural structure.

Components of particulate air pollution and emergency department visits in Chile.

The objective of the present study was to determine the association between several elements of particulates and Emergency Department (ED) visits in a general population sample. Daily time-series analyses tested the association between daily ED visit and air pollutants and components of particulates measured in Santiago Centro, a municipality, which includes downtown Santiago during the period from 2001 to 2006. The strongest individual effect was seen for elemental carbon. A 4.76 microg/m3 increase was associated with a relative risk (RR) of 1.12 (95% confidence interval [CI] = 1.10-1.14) increase in total ED visits, and a RR of 1.18 (95% CI = 1.16-1.21) for respiratory ED visit. Using factor analysis, the authors determined that traffic combustion-related particulates were significantly associated with ED visits. Among all the sources identified, traffic combustion-related particulates had the strongest association with ED visits. A factor indicating soil-sourced particles had a weaker but statistically significant observed morbidity effect. Of the many components of particulate air pollution, those from motor vehicle exhaust had the greatest observed effect on morbidity.

Prevalence of overweight and obesity in Turkish adults.

The aims of this study were to assess the prevalence and patterns of adult overweight and obesity in Turkey and discuss the impact of socio-environmental factors. A cross-sectional nationwide survey was carried out on 2100 adults (1050 males and 1050 females) aged 18 to 65 years from 7 geographic regions of Turkey. Data on height and weight were measured according to the Anthropometric Standardization Reference Manual and a questionnaire was applied to access the socio-economic status. The body mass index (BMI) (kg/m2), overweight and obesity were calculated, and percentiles were developed by LMS method. Mean BMI was 26.24 for males and 28.02 for females. Results showed that obesity was more pronounced among females (34.19%) than among males (20%). Logistic regression analysis revealed that older age and education level among females, and older age and occupational status among males have impact on obesity. Comparison of the present results with former nationwide studies conducted in Turkey showed that height and weight for both sexes have increased with the improved socio-economic conditions. In addition, increased weight and BMI needed to be monitored particularly for females in terms of acute health problems.

Estimation of stature in Turkish adults using knee height.

Body height is an important clinical indicator to derive body mass index (BMI), which is a useful screening tool for both excess adiposity and malnutrition. Height measurement in the elderly may impose some difficulties and the reliability is doubtful. Stature estimation from knee height is one of the commonly used methods; nevertheless no study has been carried out so far on the Turkish population. A cross sectional anthropometric study was conducted to develop body height estimation equations by using knee height measurement for Turkish people. Measurements of height and knee height were taken according to the International Biological Programme procedures from 1422 adults (610 males, 812 females) aged 18-90 years from Ankara, the capital city of Turkey. Samples were randomly split into two sub-samples, training and validation (control group) sub-samples. Height estimation equations were developed from the knee height measurements by linear regression analysis according to age groups and sexes. Males were significantly taller and have higher knee height values than females in all age groups. Height and the knee height variables showed a gradual decrease (P 50) with aging in females and males. Evaluated knee height equations for stature estimation were tested through the validation sample and the results showed high accuracy. The study presents sex and age specific regression equations for height estimation by using the knee height measurement for Turkish adults and suggests facilitating the accurate usage of knee height.

Growth of children living in the outskirts of Ankara: impact of low socio-economic status.

BACKGROUND: Most studies of the growth of Turkish schoolchildren are limited to large cities and to subjects from high socio-economic background. Very little is known about growth and development of rural, suburban and low socio-economic children in Turkey. AIM: The purpose of this study is to compare height and weight of school-aged children of low socio-economic background with available growth data from high socio-economic strata, and to verify the possible influences of three socio-demographic parameters on their growth. SUBJECTS AND METHODS: The sample consisted of 1,052 girls and 1,223 boys, aged between 7-17 years, living in the outskirts of Ankara, a suburban area of poor socio-economic background. Centile distributions for height and weight were estimated by the LMS-method. ANOVA and Student's t-test were used to compare mean z-scores for height and weight among the various categories of the socio-demographic parameters. RESULTS: Children living in the outskirts of Ankara have lower mean values for height and weight when compared with growth data of upper socio-economic strata children. The differences were most pronounced during adolescence. Skinfolds were higher in girls than in boys at all ages (largest p = 0.007). There was no clear relationship between growth and the number of siblings, the number of rooms in the house, the mother's and father's education, and the father's professional status (p > 0.05), except for the height of girls (p < 0.05). CONCLUSION: It is suggested that the lower growth status of children living in the outskirts of Ankara is attributable to the poor socio-economic status of this suburban population, which has not changed over the past decades. It is postulated that the growth impairment during adolescence might be due to a reduced tempo of growth in these children.

Gender differences in fat patterning in children living in Ankara.

Body composition is an excellent indicator for assessing obesity and nutritional status of both individuals and populations. Youth obesity has important health and social implications, because a large proportion of adult obesity has its origin in childhood. Numerous studies report that adverse levels of cardiovascular diseases risk factors are associated with adiposity in children. Concerning the Turkish population there is up to now only limited information with regard to adiposity in children. The aim of this study was therefore to determine the anthropometric and body composition characteristics and to investigate sex differences in fat patterning including fat distribution in a group of children living in Ankara. The present study evaluated the body composition of 332 boys and 269 girls aged between 8 and 11 years, attending public schools. It was carried out by a cross-sectional study and was focused on that anthropometric variables, which reflect body fat and fat-free mass. Anthropometric measurements including height, weight, triceps and subscapular skinfolds thickness were carried out on these children. The body mass index (BMI) was also calculated. The measurements were used to estimate the two-compartment model of body composition: fat-free mass (FFM) and body fat (BF) from skinfold equations. The mean fat percentage in boys is highest at 11 years (16.8%) and lowest at 10 years (15.6%). In girls these figures come to 18.2% and 17.1%, respectively. Girls of these age groups have a significantly larger percentage of body fat and skinfold thickness. At this young age there is therefore clear evidence of sexual dimorphism in fat patterning, as girls are showing a greater subcutaneous adiposity, which is mainly contributed by the triceps fat. The body fat (kg) increases in both sexes all over the investigated age groups. The Pearson correlation matrix showed a high significant relation between the anthropometric measurements (p < 0.01). The present study confirms the findings that sexual dimorphism of fat patterning in children is to be seen in the age of 8 - 11 years. It furthermore presents basic data of body composition, which could serve as reference data in other studies on the Turkish population.

Spatial regression models for large-cohort studies linking community air pollution and health.

Cohort study designs are often used to assess the association between community-based ambient air pollution concentrations and health outcomes, such as mortality, development and prevalence of disease, and pulmonary function. Typically, a large number of subjects are enrolled in the study in each of a small number of communities. Fixed-site monitors are used to determine long-term exposure to ambient pollution. The association between community average pollution levels and health is determined after controlling for risk factors of the health outcome measured at the individual level (i.e., smoking). We present a new spatial regression model linking spatial variation in ambient air pollution to health. Health outcomes can be measured as continuous variables (pulmonary function), binary variables (prevalence of disease), or time-to-event data (survival or development of disease). The model incorporates risk factors measured at the individual level, such as smoking, and at the community level, such as air pollution. We demonstrate that the spatial autocorrelation in community health outcomes, an indication of not fully characterizing potentially confounding risk factors to the air pollution--health association, can be accounted for through the inclusion of location in the deterministic component of the model assessing the effects of air pollution on health or through a distance-decay spatial autocorrelation function in the stochastic component of the model, or both. We present a statistical approach that can be implemented for very large cohort studies. Our methods are illustrated with an analysis of the American Cancer Society cohort to determine whether the prevalence of heart disease is associated with concentrations of sulfate particles. From a statistical point of view, it appears that a location surface in the deterministic component of the model was preferred to a distance-decay autocorrelation structure in the model's stochastic component.