Evidence map›Paper›PMID 37006577›Full record

ArticleFrontiers in public health2023

A community-based study of dental fluorosis in rural children (6-12 years) from an aspirational district in Karnataka, India.

U Venkateswara Prasad, Phaniraj Vastrad, Chandan N, Manish J Barvaliya, Rahul Kirte, Sabarinath R, Suman K Ray, Ravichandran B, Tapas Chakma, Manoj V Murhekar and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Prevalence and Determinants of Fluorosis and Association with Periodontal Health in an Endemic Region in Central India: A Community based Cross-sectional Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
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.

U Venkateswara PrasadModel Rural Health Research Unit, Department of Health Research (Government of India), Sirwar, Raichur, Karnataka, India.
Phaniraj VastradModel Rural Health Research Unit, Department of Health Research (Government of India), Sirwar, Raichur, Karnataka, India.
Chandan NNational Institute of Traditional Medicine, Indian Council of Medical Research (ICMR), Belagavi, Karnataka, India.
Manish J BarvaliyaNational Institute of Traditional Medicine, Indian Council of Medical Research (ICMR), Belagavi, Karnataka, India.
Rahul KirteModel Rural Health Research Unit, Department of Health Research (Government of India), Sirwar, Raichur, Karnataka, India.
Sabarinath RNational Institute of Epidemiology, Indian Council of Medical Research (ICMR), Chennai, Tamil Nadu, India.
Suman K RayNational Institute of Traditional Medicine, Indian Council of Medical Research (ICMR), Belagavi, Karnataka, India.
Ravichandran BRegional Occupational Health Center, Indian Council of Medical Research (ICMR), Bangalore, Karnataka, India.
Tapas ChakmaNational Institute of Research in Tribal Health, Indian Council of Medical Research (ICMR), Jabalpur, India.
Manoj V MurhekarNational Institute of Epidemiology, Indian Council of Medical Research (ICMR), Chennai, Tamil Nadu, India.
Subarna RoyModel Rural Health Research Unit, Department of Health Research (Government of India), Sirwar, Raichur, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The present study was planned to estimate the prevalence of dental fluorosis in 6-12 years of children and its association with various drinking water sources, water, and urine fluoride levels among the subset of children under the umbrella of a larger study to address iodine deficiency disorders and iron deficiency anemia in 17 villages of Manvi and Devadurga talukas of Raichur district of Karnataka. Methods: Analysis of subset of data and urine samples of children under the umbrella of a larger cross-sectional community-based study was conducted in 17 villages of Manvi and Devadurga taluks of Raichur district. House to house survey was carried out to collect data using a semi-structured questionnaire in ODK software. Demographic details, source of drinking water, clinical assessment of dental fluorosis, and height and weight measurements were performed by trained staff. Urine and water samples were collected for fluoride level estimation. The overall prevalence of dental fluorosis and its severity-wise prevalence were estimated. Association between dental fluorosis and age, gender, type of diet, source of drinking water, height for age, BMI for age, water fluoride level, and urine fluoride level were carried out using logistic regression analysis. Results: The prevalence of dental fluorosis was 46.0%. Mild, moderate, and severe dental fluorosis was found in 37.9, 7.8, and 0.3% of children. With the increasing age of participants, the odds of dental fluorosis were found to increase by 2-4 folds. The odds of having dental fluorosis were significantly increased with increasing water fluoride levels of 3 to 5 ppm [AOR = 3.147 (1.585-6.248); Conclusions: Prevalence of dental fluorosis was high in 6 to 12 years due to overexposure of fluoride from drinking water. High water and urine fluoride levels in children indicate the chronic exposure to fluoride and suggest that the population is at high risk of developing chronic fluorosis.

Indexed as

Drinking WaterFluorosis, DentalChildCross-Sectional StudiesFluoridesHumansIndiaDrinking WaterFluoridesdental fluorosisdrinking waterfluoride leveloral healthschool-going children

Identifiers

PMID37006577
PMCPMC10060513

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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.