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Nonmigrants

Nonmigrents refers to individuals who do not engage in migration, the process of moving from one place to another, often in search of work or better living conditions.
This population may include those who are settled in their current location and have no plans to relocate.
Nonmigrents can be an important group to study in order to understand factors that contribute to or inhibit migration patterns within a population.
Researchers may examine the socioeconomic, demographic, or cultural characteristics of nonmigrents to gain insights into human mobility and its impacts.
By studying this population, scientists can inform policies and programs related to migration and population dynamics.
The term 'nonmigrenets' is commonly used in research fields such as sociology, demography, and geography.

Most cited protocols related to «Nonmigrants»

The KiGGS survey is based on a nationally representative sample of children and adolescents 0–17 years of age with main residence in Germany. The sampling procedure was based on a two-stage protocol developed in co-operation with the Centre for Survey Research and Methodology (ZUMA), Mannheim, Germany. The study was approved by the Charité/Universitätsmedizin Berlin ethics committee and the Federal Office for the Protection of Data.
First, a systematic sample of 167 primary sample units (PSUs) was drawn from an inventory of German communities stratified according to the BIK classification system [2 ], which measures the grade of urbanization, and the geographic distribution. The number of PSUs per strata was determined using the Cox procedure for community sampling [3 (link)] with sampling probability proportional to population size. In order to ensure sufficient sample size for analyses stratifying according to residence in former East or West Germany, a disproportionate number of PSUs was included to represent former West (n = 112) and East (n = 50) Germany, and the city of Berlin (n = 5). At the second stage, an equal number of addresses (n = 24) per birth cohort were randomly selected (simple random sample) from local population registries within selected PSUs 8 weeks prior to the start of examinations. A final simple random sample was drawn at the Robert Koch Institute, including a total of 8, 9 or 10 children and adolescents per birth cohort, depending on community size. Thus, the target population per PSU consisted of 144, 162 or 180 persons eligible to be contacted and invited to participate in the study. Oversampling of children and adolescents from families with a migration nationality was used, as we expected a higher proportion of undeliverable contacts and non-respondents in this subgroup compared to children and youths from non-migrant families. The total KiGGS sample included 28,299 children and adolescents.
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Publication 2008
167-A Adolescent Birth Cohort Child Ethics Committees Nonmigrants Physical Examination Target Population Urbanization Youth
We recruited women delivering in three secondary and tertiary care maternity hospitals of Berlin/Germany ((1) the Virchow Campus site of the Charité University Hospital, (2) the Vivantes Klinikum am Urban, and (3) the Vivantes Klinikum Neukölln) in a 12-month period 2011/12 (n = 8157). Minors (n = 105, 1.3%), tourists not resident in Germany (n = 24, 0.3%), women terminating a pregnancy, and women with miscarriages and stillbirths (fetal death in utero ascertained at hospital admission and before onset of labor, n = 106, 1.3%) were excluded. It was not possible to contact 363 women despite multiple attempts. Of the remaining 7559 women 381 declined to participate. We conducted face-to-face interviews and linked them with highly standardized obstetric process and outcome data from hospital databases. Linkage of available interview data with obstetric process and outcome data failed in 72 cases. Six women did not consent to the linkage of data sources. In total, 7100 women participated (response rate of 89.6%). This corresponded to 7334 birth data records because of twin and triplet births.
For the analysis presented here, we considered only nulliparous women with vertex pregnancies and singleton birth, 37th week of gestation onwards. Women with elective cesarean delivery were excluded as they are not informative for our study question. We further restricted the sample to women with own migration experience (1st generation immigrants). Migrant women are a heterogeneous group. Health differences in this group might be larger than between migrant and non-migrant women. For this reason we selected women originating from Turkey and Lebanon (the two largest and only immigrant groups that allow separate analysis) and to women without a migration history (non-immigrant women). Also, 63 women without data on cervical dilatation were removed from analyses (see Fig. 1).

Flowchart of case recruitment, Berlin Perinatal study, 2011/12

In the original study, interviews were conducted with each subject at two time points: on admission to the delivery room (T1) and on the second or third day postpartum in the maternity wards (T2). Questionnaires were available in German, Turkish, Kurdish, Arabic, and other languages. Translators were involved in case of language barriers. Nearly all women with migration background (193 of 205) were able to communicate with the obstetrician in German. For this analysis, only T1 data was used. Formally, the analyses reported here are secondary analyses as the original study question related to pregnancy outcomes such as frequeny of cesarean deliveries [20 (link)].
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Publication 2019
Cesarean Section Childbirth Dilatations, Cervical Face Fetal Death Genetic Heterogeneity Immigrants Migrants Miscarriage Nonmigrants Obstetrician Pregnancy Triplets Twins Uterus Woman
The expanded H. pylori dataset consists of 3,406 bp of unique, concatenated sequences of fragments of atpA, efp, mutY, ppa, trpC, ureI, yphC from 769 H. pylori isolates (Table S1). The dataset includes 347 novel isolates in addition to data from 422 other strains that have been described previously2 (link), 3 (link),23 . The new bacteria were isolated from 25 additional ethnic sources in Asia (8 countries), Europe (4, including Basques), Africa and the Middle East (9) and South America (2), for a total of 51 ethnic sources (Table S1). The forward and reverse strands were sequenced as described1 (link). Almost half (1,522 sites, 45%) of the nucleotides are polymorphic, resulting in a nucleotide diversity (π) of 4.2% for the entire data set.
The non-migrant dataset excluded bacteria that were isolated from the following migrant human populations: Europeans and Cape Coloureds from Cape Town; Mestizos from Colombia and Venezuela; Whites and African Americans from the USA; isolates in Thailand from Chinese or without ethnic association. hpAfrica2 isolates from Xhosas near Pretoria were excluded because they were a selective subset rather than a population-wide sample. The Philippines were also removed because almost all bacterial populations were found there, probably due to their colonial history. For isolates from Native Americans, only hspAmerind strains were considered non-migrant. The dataset was further restricted to geographic samples with at least four isolates, to avoid statistical noise, which resulted in the elimination of all Jewish and Russian isolates and singletons from locations in China and Japan.
Publication 2007
African American American Indian or Alaska Native Bacteria Chinese Europeans Helicobacter pylori Homo sapiens Migrants Neutrophil Nonmigrants Nucleotides Population Group Strains White Person
The study was nested within a Cardiovascular Disease Risk Factor Study (CVDRFS) in four Indian cities (Bangalore, Lucknow, Nagpur, and Hyderabad), situated geographically in the north, centre and south of the country, and covering sites where rural-urban migration occurs. For the preliminary work reported here, work was confined to two of the sites, Lucknow and Hyderabad. Participants in the CVDRFS baseline survey, together with their co-resident spouses, were asked about rural-to-urban migration and those responding positively, together with a 25% random sample of non-migrants, were invited to participate in the study. Indian Census 2001 definitions were used to classify areas as urban or rural based on population size and density and non-agricultural employment [13 ]. Migration status was attributed only to intra-generation migrants (i.e. 'first-generation') and of at least one year's duration. Place of origin was identified using a commercial GIS application of the Indian census produced for the study. The software enabled village level unique census identifier codes to be assigned to each participant's place of origin, permitting electronic linkage to relevant census data.
Each participant was asked to identify one non-migrant full sibling of the same sex and closest to them in age. In the case of migrants whose siblings had also migrated, a half-sib, and if not available, then the closest cousin and still resident in the village of origin was recruited instead of the full sibling. For non-migrant workers, siblings who resided in the same city but did not work in the factory were recruited to enable prevalence of obesity and diabetes among factory workers and their sibs to be compared, estimating any healthy worker effect and more generalisable urban prevalence rates than that obtained solely from factory workers. The sampling strategy is shown in Figure 1.
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Publication 2006
Diabetes Mellitus Migrants Migrant Workers Nonmigrants Obesity Sibling Workers
Using the framework of a cardiovascular risk factor screening study conducted in factories in north, central, and south India [16] (link), we designed a sib-pair comparison study. Details of the design have been reported elsewhere [17] (link). Briefly, the study was in four Indian factories (Lucknow, Hindustan Aeronautics Ltd; Nagpur, Indorama Synthetics Ltd; Hyderabad, Bharat Heavy Electricals Ltd; and Bangalore, Hindustan Machine Tools Ltd) situated in the north, centre, and south of the country. Factory workers and their coresident spouses were recruited if they were rural-urban migrants using employer records as the sampling frame. Each migrant worker and spouse was asked to invite one nonmigrant full sibling of the same sex and closest to them in age still residing in their rural place of origin. Precedence was given to gender over age and where multiple same-sex sibs were available the one closest in age was invited. This strategy resulted in rural dwelling sibs being drawn from 20 of the 29 states in India, reflecting the migration patterns of the factory workforce and their spouses. A 25% random sample of nonmigrants was invited to participate in the study. Nonmigrants were also asked to invite a sib who resided in the same city but did not work in the factory. Information sheets were translated into local languages and signed (or a thumb print used if the individual was illiterate), and through this, informed consent obtained. Ethics committee approval was obtained from the All India Institute of Medical Sciences Ethics Committee, reference number A-60/4/8/2004. Field work began in March 2005 and was completed by December 2007.
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Publication 2010
Ethics Committees Manpower Migrants Migrant Workers Nonmigrants Reading Frames Thumb Workers

Most recents protocols related to «Nonmigrants»

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Publication 2023
Adult Awareness Child Cloning Vectors Diet Family Member Food Gender Head of Household Households Malnutrition Migrants Nonmigrants Parent Stem, Plant Vietnamese
One hundred and thirty-nine skulls constituted the migrant sample, recovered from the shipwreck of 18 April 2015 in the Mediterranean Sea and housed at the Laboratory of Forensic Anthropology and Odontology (LABANOF) for identification purposes. They are currently being examined from a genetic and anthropological perspective for the best possible biological profile to be completed for comparison with future antemortem data [33 ]. Migratory status of these individuals is demonstrated by the context of retrieval. Among the remains in various stages of decomposition, many skeletonized remains were found commingled; the skulls selected are part of these commingled remains [31 (link)]. Sometimes, the crania were found anatomically connected to their respective mandibles. While sex estimations relied upon standard morphological features [34 (link)], age-at-death was estimated considering skeletal methods, with the spheno occipital and palatal sutures [35 (link)], and dental methods based on the state of eruption and development, translucency of the tooth root and periodontosis, and dental pulp regression, observed macroscopically or through X-rays [36 (link),37 (link),38 (link),39 (link),40 (link),41 (link)]. Further details are currently in the process of publication in institutional and scientific reports. Population affinity was performed based on morphological features of the cranium [42 ]. This method gives probabilities associated to four macro-categories of ancestry: African, American Indian, Asian, and European. The results showed that all crania belonged to male individuals aged between 16 and 35 years, and mainly of African origin [33 ]. It is important to mention that their “migrant” status was not estimated but already known from the context of the shipwreck. While their exact reason for migrating is not known, “there is no doubt that any person making the decision to cross the Mediterranean at the risk of his or her life has imperative reasons to do so” [43 ].
Twenty-five skulls were selected from the CAL Milano Cemetery Skeletal Collection to serve as control sample. This skeletal collection, started in 2012, is composed of unclaimed remains buried in Milanese cemetery and housed at the LABANOF [32 (link)]. In addition to being contemporary (with individuals who died in the 20th century, including 80% after 1980), the collection has the advantage of being documented, meaning that the individuals are associated to a documentation that includes sex, age-at-death, date of birth, date of death, cause of death, and pathological conditions related to it. The individuals of the CAL Milano Cemetery Skeletal Collection were primarily selected based on their ages-at-death, in order to correspond to the same age range as that of the migrants, that is, between 20 and 35 years. From this criterion, a total of 28 individuals were found in the collection. However, this young age-at-death requirement created a selective mortality bias in the sample which was considered. The non-migrant sample was therefore clearly contextualized and the limitations in inferences were clearly set in order to deal with this selectivity bias. The second selection criterion was the good preservation of the remains, specifically of the cranium and mandible; only skeletons for which the three stress markers selected could be potentially observable (i.e., preservation of the orbits and cranial vault, presence of at least half of the dentition) were selected, which resulted in the removal of three cases from the sample. These two criteria of selection (age-at-death and preservation) thus resulted in a sample constituted of 19 males and 6 females, all of Italian descent. Biological profile was only estimated for the migrant sample, since this data was already known for the cemetery sample.
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Publication 2023
American Indians Asian Americans Biologic Preservation Biopharmaceuticals Birth Calvaria Cranium Dental Care Dental Pulp Europeans Exanthema Females Males Mandible Migrants Negroid Races Nonmigrants Orbit Pathologic Processes Periodontosis Skeleton Sutures Tooth Tooth Root X-Rays, Diagnostic
A statistical study was realized to compare the presence and severity of the stress markers in both samples. Shapiro–Wilk tests were performed with R (own scripts were written) to verify the normality of the samples and decide whether to use parametric or non-parametric tests for their analysis. Regarding the presence of stress markers and their relationship with the sample, Pearson’s Chi-squared tests of independence were performed with R (own scripts were written) to assess the relationship of the variables “CO”, “PH”, and “LEH” to the sample of migrants.
Among the migrant group, severity of lesions was evaluated on a subsample of 25 skulls. Wilcoxon signed-rank tests, realized on R (own scripts were written), were applied to the scores of severity of CO and PH to compare their values and assess whether there was a significative difference in severity of the lesions between the migrant and non-migrant samples and in which sample the lesions were more severe. Results were considered significant at p ≤ 0.05.
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Publication 2023
Cranium Migrants Nonmigrants
Each individual in the migrant and non-migrant samples was examined macroscopically for the presence of LEH, CO, and PH.
All observable teeth were examined for LEH and were evaluated as present when enamel anomalies manifested as linear grooves or furrows, were visible to the naked eye and could be felt with a fingernail. LEH was scored as present when at least one tooth showed at least one hypoplastic line.
PH and CO were evaluated as present when porotic lesions could be seen macroscopically on the ectocranial surface of the cranial vault and orbital roofs, respectively. The lesions were then scored for severity according to Stuart-Macadam [44 (link)]. Severity scores were collected on all cases of the non-migrant sample and a restricted subsample of 25 skulls of migrants (selected randomly), in order to obtain comparable sample sizes.
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Publication 2023
Calvaria Cranium Dental Enamel Feelings Fingernails hypoplasia Migrants Nonmigrants Tooth Vision
The anonymous online survey (SoSci Survey) was administered to adolescents and young adults at three timepoints, with two corresponding to two infection “waves”: first at the height of the first pandemic (T1) from May 22nd to June 19th, 2020, and second at the beginning of the second wave (T2) from September 11th to October 23rd, 2020, before the beginning of the vaccination campaign. The third assessment was conducted between May 18th and June 8th, 2021, in the above two countries, after vaccines had been available in both countries for about half a year. We analyzed the psychological well-being of migrant and non-migrant young people aged between 15 and 25 years after the COVID-19 vaccination campaign period.
Austria and Turkey followed different pandemic control strategies and have different cultures, but both suffered from high COVID-19 prevalence. For the present study we compared the mental health and psychological well-being of young people living in Austria and Turkey with and without migration background before and after the main vaccination campaigns. In the initial phase, the COVID-19 vaccination was only available for elderly adults and those belonging to certain at-risk groups such as people who have diabetes, heart disease, etc., or for staff working in the health-care system. This facet of the vaccination campaign was the same in both Austria and Turkey. As vaccines had been seen as a part of the solution for the still ongoing COVID-19 pandemic, it was quite important to also analyze the psychosocial impact of the vaccination campaign for young people. Therefore, we analyzed the differences in mental health and psychological well-being before and after the initial vaccination campaign among participants 15-25 years of age, split into those under 18 and those over 17.
Between May 18th and June 8th, 2021, we conducted this online survey via social media and e-mails, after the COVID-19 vaccination had been available in Austria and Turkey for approximately half a year.
For the comparison, we merged the two first data sets on psychosocial well-being during waves 1 and 2 (T1 and T2), as they were both before the vaccination campaign period (BV). The BV period therefore includes participants who filled out our survey from May to June 2020 (originally: T1) and from September to October 2020 (T2). We compared results to a similar sample of young adults taken after the vaccination campaign period (AV). We assessed mental health, psychological well-being, experiences, and concrete individual fears and cognitions related to the pandemic in migrants and native populations in both countries. See (Akkaya-Kalayci et al., 2020 ) and (Özlü-Erkilic et al., 2021 (link)) for a detailed description of the T1 and T2 timepoints.
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Publication 2023
Adolescent Adult Aged Cognition COVID 19 Diabetes Mellitus Fear Heart Diseases Infection Mental Health Migrants Nonmigrants Pandemics Population Group Vaccination Vaccination Campaign Vaccines Young Adult

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More about "Nonmigrants"

Nonmigrants, also known as sedentary individuals, are those who do not engage in migration or the process of moving from one location to another, often in search of employment or improved living conditions.
This population is an important subject of study for researchers seeking to understand the factors that contribute to or inhibit migration patterns within a given population.
By examining the socioeconomic, demographic, and cultural characteristics of nonmigrants, scientists can gain valuable insights into human mobility and its broader impacts.
This information can inform policies and programs related to migration and population dynamics.
Researchers may utilize a variety of techniques to study nonmigrant populations, such as Matrigel assays, Transwell Boyden chambers, BD Falcon cell culture inserts, and crystal violet staining to assess cellular behavior and migration.
Transwell chambers and polyethylene terephthalate membrane filters can also be employed to simulate the extracellular environment and analyze cell movement.
Additionally, techniques like hematoxylin staining and Boyden chambers can be used to visualize and quantify the migration of cells in vitro.
By combining these methodological approaches with a deeper understanding of the sociological, demographic, and geographic factors that influence nonmigrant populations, researchers can develop a more comprehensive picture of human mobility and its implications.
Whether you're a sociologist, demographer, or geographer, studying the nonmigrant population can provide crucial insights that can inform policies, programs, and other initiatives related to migration and population dynamics.
With the right tools and strategies, you can streamline your research process and make more informed decisions, ultimately contributing to a better understanding of this important and often overlooked population.