Evidence map›Paper›PMID 39439660›Full record

ArticleCureus2024

A Retrospective Study of the Profiles of Outpatients Attending the State Adolescent Friendly Health Resource Center, Andhra Pradesh, South India.

Navya Krishna Naidu, Rajeev Aravindakshan, Venkatashiva Reddy B, Vijayan Sharmila, Arti Gupta

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Navya Krishna NaiduDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Mangalagiri, Guntur, IND.
Rajeev AravindakshanDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Mangalagiri, Guntur, IND.
Venkatashiva Reddy BDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Mangalagiri, Guntur, IND.
Vijayan SharmilaDepartment of Obstetrics and Gynaecology, All India Institute of Medical Sciences, Mangalagiri, Guntur, IND.
Arti GuptaDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Mangalagiri, Guntur, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdolescents compose a significantly large age group, and attention to their health needs is lacking due to insufficient data and policy implementation globally and in India. India, having 268 million adolescents, faces the world's largest adolescent population, which highlights the importance of addressing their health requirements. The aim of this study was to describe the morbidity profiles of adolescent patients attending the State Adolescent Friendly Health Resource Centre at a tertiary-level healthcare institution in South India. METHODOLOGY: A retrospective secondary data analysis was conducted at the State Adolescent Friendly Health Resource Center from 2022 to 2023. Data on adolescent health were collected from this center's OPD using a structured questionnaire, which included information on demographics, immunization status, chief complaints, and dietary intake. Diagnosis coding was done using the International Classification of Diseases, Tenth Revision (ICD-10), with estimated energy and protein intake.

resultsThe study analyzed 4,000 adolescent patients, with a nearly equal gender distribution across physical OPD and telemedicine services. Adolescent females between 15 and 16 years had more visits for consultation. Most patients were within the normal BMI range, and telemedicine was popular among females with normal BMI. Obesity was more common in males, while overweight was prevalent in females. Energy and protein intake varied across BMI categories, with obese individuals having the highest intake. The morbidity profiles revealed significant gender differences in healthcare utilization and disease patterns.

conclusionGender differences in adolescent morbidity and the underutilization of telemedicine highlight the need for tailored healthcare interventions and further research based on socioeconomic factors.

Indexed as

adolescentshealthcaremorbiditynutritiontelemedicine

Identifiers

PMID39439660
PMCPMC11494026

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.