Evidence map›Paper›PMID 37917759›Full record

Observational studyPloS one2023

Path analysis model for preventing stunting in dryland area island East Nusa Tenggara Province, Indonesia.

Intje Picauly, Anak Agung Ayu Mirah Adi, Eflita Meiyetriani, Majematang Mading, Pius Weraman, Siti Fadhilatun Nashriyah, Ahmad Thohir Hidayat, Daniela L Adeline Boeky, Varry Lobo, Asmulyati Saleh and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2023. 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
0.3field-weighted citation impact, top 42% of its field
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, 2 citations in OpenAlex.

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

11 authors at 5 institutions in 2 countries.

Intje PicaulyFaculty of Public Health, Department of Public Health, University of Nusa Cendana, Kupang City, East Nusa Tenggara, Indonesia.
Anak Agung Ayu Mirah AdiHealth Polytechnique Kupang, Ministry of Health, Kupang City, East Nusa Tenggara, Indonesia.
Eflita MeiyetrianiSEAMEO RECFON, Pusat Kajian Gizi Regional, Universitas Indonesia, Jakarta, Indonesia.ORCID 0000-0003-0811-9981
Majematang MadingLokalitbangkes Waikabubak, Ministry of Health, West Sumba, East Nusa Tenggara, Indonesia.
Pius WeramanFaculty of Public Health, Department of Public Health, University of Nusa Cendana, Kupang City, East Nusa Tenggara, Indonesia.
Siti Fadhilatun NashriyahDepartment of Biostatistics, Faculty of Public Health, Universitas Indonesia, Depok, Jakarta, Indonesia.
Ahmad Thohir HidayatSEAMEO RECFON, Pusat Kajian Gizi Regional, Universitas Indonesia, Jakarta, Indonesia.ORCID 0000-0003-0783-8466
Daniela L Adeline BoekyFaculty of Public Health, Department of Public Health, University of Nusa Cendana, Kupang City, East Nusa Tenggara, Indonesia.
Varry LoboLokalitbangkes Waikabubak, Ministry of Health, West Sumba, East Nusa Tenggara, Indonesia.
Asmulyati SalehFaculty of Public Health, Department of Public Health, University of Nusa Cendana, Kupang City, East Nusa Tenggara, Indonesia.
Jane A PeniHealth Polytechnique Kupang, Ministry of Health, Kupang City, East Nusa Tenggara, Indonesia.
University of Indonesia · IDUniversity of Nusa Cendana · IDMinistry of Health · IDUniversitas Muhammadiyah Kupang · IDCharles Darwin University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe problem of stunting is still a fundamental problem in Indonesia's human development. East Nusa Tenggara Province is an archipelago dryland area where in 2007-2021 it has contributed to the highest number of stunting children prevalence in Indonesia. This study aims to determine the relationship of variables in individual, household and district level with the prevalence of stunting.

methodsThis type of research is observational study with a cross sectional design. This study used individual secondary data from the Indonesian Nutritional Status Survey in 2021 consisting of 7,835 toddlers and National Social Economics Survey 2021.

resultsThis research found that both specific & sensitive intervention programs had an influence in accelerating the decline in stunting prevalence (higher score on Z Score). Results also revealed the positive influence of the food access variable on nutritional intake. The results of the path analysis test showed that sensitive intervention program variables have a positive effect on food access variable and environmental variable (environmental sanitation) such as the habit of open defecation and healthcare. There was significant relationship on disease history, environment and intake to Height for Age (HAZ) score.

conclusionsIn conclusion, direct and indirect factors have important roles to prevent stunting. Sensitive and specific intervention program, food access, macro determinants and environment are the indirect indicators which contribute significantly to the stunting. The risk of children under five years old experiencing malnourished nutritional status increases with a history of infectious disease (diarrhea, ARI, worms). The risk of children under five years experiencing malnourished nutritional status decreases with adequate nutritional intake. It is hoped that there will be a special model of stunting control interventions at the individual level and at the family, household and district level that are integrated and of high quality through multisectoral cooperation in the dryland areas of the islands of East Nusa Tenggara Province.

Indexed as

MalnutritionNutritional StatusChild, PreschoolCross-Sectional StudiesGrowth DisordersHumansIndonesiaInfantPrevalence

Identifiers

PMID37917759
PMCPMC10621912
OpenAlexW4388214969

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.