The largest database of trusted experimental protocols
> Living Beings > Age Group > Adolescents, Female

Adolescents, Female

Adolescents, Female: Individuals between the ages of 13 and 19 who are biologically female.
This population experiences unique physiological, psychological, and social changes during the transition from childhood to adulthood.
Researchers studying this group may focus on topics such as puberty, body image, mental health, reproductive health, and the influence of gender on development and behavior.
Understanding the needs and experiences of adolescent females is crucial for promoting their overall wellbeing and supporting a healthy transition into adulthood.

Most cited protocols related to «Adolescents, Female»

Participants were individuals who completed at least the first study session (Time 1 Session 1) of the Temple University (TU) Adolescent Cognition and Emotion (ACE) Project, a prospective longitudinal study of the development of depressive and anxiety disorders in adolescence, with TU IRB approval. Caucasian and African American male and female adolescents, ages 12 – 13, and their mothers or primary female caretakers (hereafter referred to as “mothers”) were recruited from Philadelphia area public and private middle schools. Participants were recruited in two main ways. First, with the Philadelphia School District’s (PSD) permission and provision of demographic and contact information, we mailed a letter of introduction and description of Project ACE to parents of Caucasian and African-American students aged 12–13 years old (approximate N = 8,662) attending some schools in the PSD. Although mothers could call or return a prepaid postcard indicating their interest in Project ACE, most families were recruited by this method through follow-up phone calls from project staff inviting mothers and their adolescent children to participate. Second, advertisements describing Project ACE were placed in Philadelphia area newspapers (e.g., Metro Kids, community newspapers) and mothers (approximate N = 134) called in to indicate their interest.
Mothers interested in participation with their adolescent children from either recruitment method initially completed a screening instrument over the phone to determine eligibility. Inclusion criteria for the study were: 1) the adolescent child was 12 or 13 years old; 2) the adolescent child self-identified as Caucasian/White, African American/Black or Biracial (adolescents could be Hispanic or non-Hispanic as long as they also identified as White or Black); and 3) the mother was also willing to participate. Exclusion criteria were: 1) there was no mother/primary female caretaker available to participate (e.g., mother had died); 2) either the adolescent or mother did not read or speak English well enough to be able to complete the study assessments; and 3) either the adolescent or mother was mentally retarded, had a severe learning disability or other cognitive impairment, had a severe developmental disorder (e.g., autism), was psychotic, or exhibited any other medical or psychiatric problem that would prevent either of them from being able to complete the study assessments. As long as they could adequately complete the study assessments, adolescents or mothers with mild learning disabilities or cognitive/sensory impairments were eligible for participation. Mothers and adolescents who met all study inclusion and exclusion criteria were scheduled for a Time 1 Session 1 (T1S1) assessment, at which time mothers provided written consent and the adolescents provided written assent to participate in Project ACE. The recruitment target was a sample size of 500 adolescents (125 in each gender by race group) and their mothers.
Publication 2012
Adolescent Adolescents, Female African American Anxiety Disorders Autistic Disorder Child Cognition Developmental Disabilities Disorders, Cognitive Eligibility Determination Emotions Gender Hispanics Learning Disabilities Males Mental Disorders Mothers Parent Racial Groups Student White Person Woman

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2010
Adolescents, Female Boys Child Hispanics Parent SERPINA3 protein, human Woman
The enjoyment of PA was assessed by the revised PACES, which was originally designed to measure positive affect associated with involvement in physical activities in college students (Kendzierski & DeCarlo, 1991 ). It has since demonstrated internal consistency in 12–16 year-old children, with coefficient α = .90, and item-total correlations = .38 – .76 (Crocker et al., 1995 ). The original PACES consisted of 18 bipolar statements on a 7 point continuum (I enjoy it - I hate it) which were summed to produce a total enjoyment score. The revised PACES consists of 16 statements which begin with the stem “When I am physically active…”. The items of the PACES questionnaire can be seen in Table 1. Motl et al. (2001) (link) modified the PACES for use with young adolescent females. In doing so, two items were removed and others rewritten to improve comprehension and reduce redundancy, and a 5-point Likert-type scale (1 = “Disagree a lot” to 5 = “Agree a lot”) which was considered more comprehensible to younger children replaced the 7-item bipolar continuum (Motl et al., 2001 (link)). A score is computed by calculating the average of the 16 items.
Publication 2009
Adolescents, Female Child FURIN protein, human Pleasure Stem, Plant Student Vision Youth
Although there is no “gold-standard” to benchmark VALENCIA against, we did perform a number of tests to validate its use for the classification of vaginal microbial communities. First, we reclassified the training dataset using VALENCIA and compared the new assignments to those provided by the initial HC. We also tested the use of VALENCIA on other populations and on taxonomic compositions that had been generated by the sequencing of other 16S rRNA variable regions and other bioinformatics pipelines. Three datasets were used—two were published and made available by other groups and one which had been generated in-house. Test dataset 1 was published by Hickey et al in 2015 [31 ] and contained samples from adolescent girls aged 12–15. Test dataset 2 was generated in-house and contained samples from menopausal women above the age of 60. These data are available at github.com/ravel-lab/VALENCIA. Test dataset 3 was published by McClelland et al. [32 (link)] and contained samples from reproductive age eastern and southern African women. Test dataset 1 was derived from sequencing the V1V3 region of the 16S rRNA gene, test dataset 2 from the V3V4 region, and test dataset 3 from the V4 region. For test datasets 1 and 3, the published taxonomic assignments were used with adjustments to match the phylotype naming scheme used by VALENCIA. The in-house data included in test dataset 2 was generated via the same methods used in the generation of the training dataset. All three test datasets were classified using VALENCIA, the results of which are shown in Fig. 4. Although many factors can introduce bias in the assessment of taxonomic composition (e.g., DNA extraction, PCR primer selection [65 (link), 66 ]), we did not find substantial irregularities in the assignment of CSTs by VALENCIA on these test datasets.
Full text: Click here
Publication 2020
Adolescents, Female Gold Menopause Microbial Community Oligonucleotide Primers Reproduction Ribosomal RNA Genes RNA, Ribosomal, 16S Southern African People Vagina Woman
The Teenage Girls on the Move project from Ghent University, Belgium, in which three working groups across three secondary schools of lower educated adolescent girls (mean age = 16 years) each worked with a university researcher to co-create an intervention to promote physical activity.
These were a sample of convenience selected because of the variety of context and population they covered. Authors of each of these case studies were invited to take part in the action research to develop this framework and guidelines, in addition to others who have utilised co-creation to understand important elements for intervention development.
The reflective cycles consisted of analysis of field notes and reflective writing undertaken in each of the case studies, in addition to data gathered from participants during process evaluation conducted across sites. Reflection has been highlighted as a key learning process across a range of participatory methodologies, including in AR [33 ], PAR [34 (link)] and PAAR [26 (link)] and was utilised here to understand what elements contributed to the success of these projects. An initial framework and set of principles was developed by the lead author using previous examples of scientific framework development such as Cochrane PICO as guidance. This framework was then iteratively refined through evaluation of the data and experience of authors, with local co-creators also informing the process. Further, each team conducted thought experiments, guided by scenarios involving different contexts, populations and health behaviours, to determine how the framework and principles could be implemented to guide and improve the scientific rigour of future public health intervention co-creation. Throughout each iteration, authors inputted data and experiences to the lead author who synthesised, updated and redistributed the framework and principles. This process was repeated until a full consensus was reached. In total, there were eight iterations, six conducted by electronic correspondence and two face to face meetings.
Finally, the framework was written up as manuscript and then circulated again to the authorship teamt to ensure an accurate version of events was documented.
Full text: Click here
Publication 2019
Adolescents, Female Face Muscle Rigidity Population Group Reflex Woman

Most recents protocols related to «Adolescents, Female»

A focus group of inpatients (11 female adolescents and young adults in treatment for regular binge-eating episodes at the Schoen Clinic Roseneck, Germany) complemented this literature-based approach. It was conducted to tap into antecedents that nomothetic EMA research might have overlooked so far. After an individual written brainstorming session on “triggers and circumstances associated with binge eating,” the inpatients rated the preliminary list of EMA items on relevance to their binge-eating episodes (“happens before/during/after binge eating”: 1=[almost] never, 3=might or might not, 5=[almost] always). A moderated discussion of the brainstormed and provided items concluded the sessions.
Next, 2 researchers analyzed the rating data and integrated patient-generated items. This led to the following changes: several constructs missing in the preliminary item list were identified and items were added to cover these gaps (eg, eating based on internal opposed to external motivation: “Did you eat on your own accord?”; (not) following a regular meal structure: How much did you follow a regular meal structure today?; and restricting specific foods: “Are you restricting on certain foods right now?”).
The focus group participants further rated 27 of the provided items as positively associated with their binge-eating episodes (mean >3.5), 11 items as negatively associated (mean <2.5), and 9 items as unrelated to their binge-eating episodes (mean 2.5-3.5; Multimedia Appendix 2, Table S1). Some items were scored as unrelated (eg, “Right now I feel: tired” and “I engaged in increased levels of sport.”), and items with large SDs (SD >1.00; eg, “Right now I feel: relived,” “Right now I am shopping for groceries.” and “I acted upon my plans regarding my eating behavior.”) were disregarded, merged (eg, “I am in company.” with “I am on my own.”), or exchanged (eg, “I feel strained due to...work / university / school; close social network; wider social network; everyday stressors” with “Do you feel like you can handle all upcoming tasks and problems?”). As the patients expressed concerns over the redundancy of emotional states, 4 more items were disregarded (“Right now I feel: calm/ashamed/guilty/frustrated”). Finally, 4 items regarding eating behaviors such as “resistance to food craving” or “restriction” were rephrased to map more accurately on constructs introduced by the focus group (see Multimedia Appendix 3, Figure S1 for all item iterations)
Full text: Click here
Publication 2023
Adolescents, Female Emotions Feeding Behaviors Feelings Food Guilt Infantile Neuroaxonal Dystrophy Inpatient Motivation Patients Precipitating Factors Young Adult
The study population included AGYW aged 14–24 years who were enrolled in the “Interventions for HIV Prevention among Adolescent girls and young women (IPAD),” whose overall aim was to assess knowledge and preferences for biomedical HIV prevention interventions and uptake of oral pre-exposure prophylaxis among AGYW in Kampala, Uganda. The IPAD study therefore recruited HIV-negative AGYW who reported risk behavior that made them eligible for oral pre-exposure prophylaxis (PrEP). Recruitment and follow-up of study volunteers from urban slums through project field workers and AGYW peers were done from January 2019 to December 2020, and the study has been described by Mayanja et al. (24 (link)), including enrollment of 14–17 year olds only if they were identified as emancipated and/or mature minors according to national guidance (25 ). These minors could consent for themselves without parental/guardian approval. We included volunteers who were not pregnant at enrollment and were willing to use an effective contraception method during the study.
Full text: Click here
Publication 2023
Adolescents, Female Contraceptive Methods Legal Guardians Parent Pre-Exposure Prophylaxis Voluntary Workers Woman Workers
We conducted a matched, pair-cluster randomized controlled trial from July 2019 to September 2020 in secondary girls’ schools in Rangpur district, Bangladesh. We screened all secondary urban and rural girls’ schools of Rangpur district on the basis of some criteria like—infrastructure of the school (building or tin-shed), presence of digital lab (laptop, projector), supply and availability of electricity, and number of students. We found that digital lab was available in all the girls’ schools. In the case of urban schools, most of them were operated in buildings whereas the rural schools were operated in tin-shed houses. There was electricity in the urban schools but there were few disruptions in the supply of electricity in rural schools. The number of students was higher in the urban schools than that of the rural schools. In our study, we excluded the schools having any programme such as nutrition education, health message, mid-day meal. We maintained sufficient buffer zone between control and intervention schools. In rural site, the intervention and control schools were located in two different sub-districts. In the case of urban schools, even though intervention and control schools were located in Rangpur Sadar (same sub-district), they were located far enough from one another.
Our study participants were all the adolescent girls of 11–15 years from grade six, seven and eight of the selected schools. During assessment of the study participants, we followed inclusion criteria that included never married adolescent schoolgirls, girls having no chronic diseases, girls having no major psychiatric illness. Participant follow-up was completed in September 2020. After taking well-informed written consent from the mothers or caregivers of the study participants and assent from study participants, we approached for collecting data from them.
Full text: Click here
Publication 2023
Adolescent Adolescents, Female Buffers Disease, Chronic Electricity Fingers Mental Disorders Mothers Programmed Learning Student Woman
The primary outcome of our trial was individual-level dietary diversity among adolescent girls. Dietary Diversity is defined as the number of different foods or food groups consumed over a given reference period [28 (link)]. The secondary outcomes of interest were household-level dietary diversity of the adolescent girls, changes in anthropometry, and anaemia status. However, in this manuscript, we have reported the results on the primary outcome and the results from the qualitative component are not presented here.
Full text: Click here
Publication 2023
Adolescents, Female Anemia Diet Food Households
At the beginning of the intervention, research team members arranged parents’ meetings at the schools of the intervention arm. In the meeting, they informed the parents about the objective of the study, the benefits of dietary diversity (DD) on adolescent health, and how the parents can play role in ensuring the intake of diversified food for adolescent girls. In each meeting on average 150 parents attended.
Full text: Click here
Publication 2023
Adolescents, Female Diet Eating Parent

Top products related to «Adolescents, Female»

Sourced in United States, Japan, United Kingdom, Germany, Belgium, Austria, Spain, France, Denmark, Switzerland, Ireland
SPSS version 20 is a statistical software package developed by IBM. It provides a range of data analysis and management tools. The core function of SPSS version 20 is to assist users in conducting statistical analysis on data.
Sourced in United States, Denmark, United Kingdom, Belgium, Japan, Austria, China
Stata 14 is a comprehensive statistical software package that provides a wide range of data analysis and management tools. It is designed to help users organize, analyze, and visualize data effectively. Stata 14 offers a user-friendly interface, advanced statistical methods, and powerful programming capabilities.
Sourced in United States, Austria, Japan, Belgium, United Kingdom, Cameroon, China, Denmark, Canada, Israel, New Caledonia, Germany, Poland, India, France, Ireland, Australia
SAS 9.4 is an integrated software suite for advanced analytics, data management, and business intelligence. It provides a comprehensive platform for data analysis, modeling, and reporting. SAS 9.4 offers a wide range of capabilities, including data manipulation, statistical analysis, predictive modeling, and visual data exploration.
Sourced in United States, Denmark, Austria, United Kingdom, Japan, Canada
Stata version 14 is a software package for data analysis, statistical modeling, and graphics. It provides a comprehensive set of tools for data management, analysis, and reporting. Stata version 14 includes a wide range of statistical techniques, including linear regression, logistic regression, time series analysis, and more. The software is designed to be user-friendly and offers a variety of data visualization options.
Sourced in United States, Japan, United Kingdom, Austria, Germany, Czechia, Belgium, Denmark, Canada
SPSS version 22.0 is a statistical software package developed by IBM. It is designed to analyze and manipulate data for research and business purposes. The software provides a range of statistical analysis tools and techniques, including regression analysis, hypothesis testing, and data visualization.
Sourced in Germany
The BF683W scales by Tanita are a type of lab equipment designed for weight measurement. The scales provide accurate and reliable measurements, serving as a tool for various laboratory applications.
Sourced in United States, Japan, United Kingdom, Germany, Austria, Canada, Belgium, Spain
SPSS version 26 is a statistical software package developed by IBM. It is designed to perform advanced statistical analysis, data management, and data visualization tasks. The software provides a wide range of analytical tools and techniques to help users understand and draw insights from their data.
Sterile physiological saline is a sterile, isotonic solution of sodium chloride in water, designed for medical and laboratory applications. It is a commonly used solution for various purposes, such as rinsing, dilution, and preparation of samples or reagents. The solution has a concentration of approximately 0.9% sodium chloride, matching the osmolarity of human body fluids.
Sourced in United States, Japan, United Kingdom, Germany, Austria, Belgium, China, Italy, India, Israel, France, Spain, Denmark, Canada, Hong Kong, Poland, Australia
SPSS is a software package used for statistical analysis. It provides a graphical user interface for data manipulation, statistical analysis, and visualization. SPSS offers a wide range of statistical techniques, including regression analysis, factor analysis, and time series analysis.
Sourced in United States, Denmark, United Kingdom, Austria, Sweden
Stata 13 is a comprehensive, integrated statistical software package developed by StataCorp. It provides a wide range of data management, statistical analysis, and graphical capabilities. Stata 13 is designed to handle complex data structures and offers a variety of statistical methods for researchers and analysts.

More about "Adolescents, Female"

Adolescent Females, Teen Girls, Young Women, Pubescent Females, Girlhood, Feminine Adolescents, Female Youth, Juvenile Females.
This demographic experiences unique physical, psychological, and social changes during the transition from childhood to adulthood, including pubertal development, body image concerns, mental health challenges, reproductive health issues, and the influence of gender on growth and behavior.
Researchers may utilize statistical software like SPSS version 20, Stata 14, SAS 9.4, SPSS version 22.0, SPSS version 26, and Stata 13 to analyze data on topics such as puberty, self-esteem, depression, contraception, and the impact of societal expectations on adolescent females.
Studying this population is crucial for promoting their overall well-being and supporting a healthy transition into womanhood.
Researchers can leverage the AI-driven platform PubCompare.ai to optimize research protocols and enhance reproducibility when investigating the needs and experiences of this unique demographic.