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Research article · 2026 · Full text

International Journal of Geography Geology and Environment

Prevalence and severity of dental fluorosis among Grade 6 pupils in Gokwe North District, Zimbabwe: A cross-sectional study

A MamuseF SibandaM Mutakaya

Volume 8(10) · Pages 46–53 · DOI: 10.22271/27067483.2026.v8.i10a.890 ↗

Research areasFluoride Effects and RemovalDental Health and Care Utilizationdental development and anomalies

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Abstract

Author-written

Optimal fluoride concentrations in drinking water (0.5–1.5 mg/L) protect against dental caries, but excessive intake can lead to dental and skeletal fluorosis. This study assessed the prevalence and severity of dental fluorosis among Grade 6 pupils in Gokwe North District, Zimbabwe, a region affected by geogenic fluoride contamination. A cross-sectional survey was conducted among 1,883 pupils from 35 primary schools, with dental examinations carried out jointly by two trained dentists to ensure diagnostic consistency. Pupils were classified as unaffected, slightly affected, moderately affected, or severely affected using standard fluorosis criteria. Overall, 812 pupils (43.1%) exhibited dental fluorosis, including 17.1% severe, 11.3% moderate, and 14.8% slight cases. Fluorosis prevalence varied significantly across schools, ranging from 12.7% to 93.7% (p < 0.05), reflecting marked spatial heterogeneity in fluoride exposure. Although the data were collected in 2006, the findings provide valuable baseline evidence of the persistent burden of fluorosis in the district. The results highlight dental fluorosis as a major public health concern in Gokwe North and underscore the urgent need for targeted interventions, particularly the provision of safe water supplies through defluoridation technologies or alternative low-fluoride sources to reduce exposure among vulnerable populations.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • The Gokwe North District in Zimbabwe is recognized as an area with high levels of fluoride in its groundwater. View evidence ↗

      Why it matters

      The Gokwe North District in Zimbabwe is recognized as an area with high levels of fluoride in its groundwater.

      In the paper's own words

      “In Zimbabwe, Gokwe North District is among the areas known to be affected by elevated fluoride levels in groundwater.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to determine the overall prevalence of dental fluorosis among Grade 6 pupils across 35 primary schools in the Gokwe North District. View evidence ↗

      The question

      The study aimed to determine the overall prevalence of dental fluorosis among Grade 6 pupils across 35 primary schools in the Gokwe North District.

      In the paper's own words

      “This study addresses these gaps by providing district-wide prevalence estimates of dental fluorosis among Grade 6 pupils across 35 primary schools in Gokwe North District.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
    • The researchers also sought to profile the severity of the condition and analyze how the disease burden varied between different schools. View evidence ↗

      The question

      The researchers also sought to profile the severity of the condition and analyze how the disease burden varied between different schools.

      In the paper's own words

      “In addition to estimating overall prevalence, the study profiles the severity of fluorosis and examines inter-school variation in disease burden”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
  3. What they did

    • The study examined a total of 1,883 Grade 6 pupils from primary schools in the region. View evidence ↗

      What they did

      The study examined a total of 1,883 Grade 6 pupils from primary schools in the region.

      In the paper's own words

      “A total of 1,883 Grade 6 pupils from primary schools located within the defined study area were examined.”

      Page 2

      Found in: Study population and sample size

      Read it in the full textOpen PDF at page 2 ↗
    • The research area was defined as a 60 km radius circle centered on Sesame, the southern entry point of the district. View evidence ↗

      What they did

      The research area was defined as a 60 km radius circle centered on Sesame, the southern entry point of the district.

      In the paper's own words

      “The study area was defined prior to fieldwork as a circle of radius 60 km centred on Sesame, the southern entry point into the district.”

      Page 2

      Found in: Study design and study area

      Read it in the full textOpen PDF at page 2 ↗
    • Dental fluorosis severity was graded using an adapted version of the widely accepted Dean's Index. View evidence ↗

      What they did

      Dental fluorosis severity was graded using an adapted version of the widely accepted Dean's Index.

      In the paper's own words

      “Dental fluorosis was assessed using an adaptation of Dean’s Index (Dean, 1942) [9] shown in Table 1. The index is, a widely accepted epidemiological tool for grading fluorosis severity.”

      Page 2

      Found in: Dental examination and fluorosis assessment

      Read it in the full textOpen PDF at page 2 ↗
    • To ensure consistency in diagnosis, two trained dentists performed the examinations jointly at each school. View evidence ↗

      What they did

      To ensure consistency in diagnosis, two trained dentists performed the examinations jointly at each school.

      In the paper's own words

      “Dental examinations were conducted on site at each school by two trained dentists working jointly to ensure diagnostic consistency.”

      Page 2

      Found in: Dental examination and fluorosis assessment

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • Among the total pupil population, 17.1% (322) had severe fluorosis, 11.3% (212) had moderate fluorosis, and 14.8% (278) had slight fluorosis. View evidence ↗

      What they found

      Among the total pupil population, 17.1% (322) had severe fluorosis, 11.3% (212) had moderate fluorosis, and 14.8% (278) had slight fluorosis.

      In the paper's own words

      “Among pupils with fluorosis, 322 (17.1%) were classified as severely affected, 212 (11.3%) as moderately affected, and 278 (14.8%) as slightly affected.”

      Page 3

      Found in: Dental examination and fluorosis assessment

      Read it in the full textOpen PDF at page 3 ↗
    • There was significant variation between schools, with prevalence ranging from a low of 12.7% at Katamba Primary School to a high of 93.7% at Mudondo Primary School. View evidence ↗

      What they found

      There was significant variation between schools, with prevalence ranging from a low of 12.7% at Katamba Primary School to a high of 93.7% at Mudondo Primary School.

      In the paper's own words

      “Prevalence ranged from 12.7% at Katamba Primary School to 93.7% at Mudondo Primary School.”

      Page 5

      Found in: Variation in fluorosis prevalence among schools

      Read it in the full textOpen PDF at page 5 ↗
    • Statistical analysis (ANOVA) confirmed that the differences in fluorosis prevalence between schools were significant (p = 0.048). View evidence ↗

      What they found

      Statistical analysis (ANOVA) confirmed that the differences in fluorosis prevalence between schools were significant (p = 0.048).

      In the paper's own words

      “Analysis of variance (ANOVA) confirmed that differences in fluorosis prevalence across schools were statistically significant (p = 0.048)”

      Page 5

      Found in: Variation in fluorosis prevalence among schools

      Read it in the full textOpen PDF at page 5 ↗
    • The number of pupils affected by fluorosis was not significantly correlated with the total size of the school population (r = 0.002, p = 0.990). View evidence ↗

      What they found

      The number of pupils affected by fluorosis was not significantly correlated with the total size of the school population (r = 0.002, p = 0.990).

      In the paper's own words

      “No significant correlation was observed (r = 0.002, p = 0.990), indicating that fluorosis prevalence was not associated with school population size.”

      Page 5

      Found in: Relationship between fluorosis prevalence and school size

      Read it in the full textOpen PDF at page 5 ↗
    • High overall prevalence did not always mean high severity; for example, Mudondo Primary had the highest prevalence (93.7%), but Umbe Primary (87.1% prevalence) had the highest proportion of severe cases. View evidence ↗

      What they found

      High overall prevalence did not always mean high severity; for example, Mudondo Primary had the highest prevalence (93.7%), but Umbe Primary (87.1% prevalence) had the highest proportion of severe cases.

      In the paper's own words

      “Mudondo Primary School, which recorded the highest overall prevalence (93.7%), did not have the highest proportion of severe cases. In contrast, Umbe Primary School, with an overall prevalence of 87.1%, recorded the highest proportion of pupils classified as severely affected.”

      Page 5

      Found in: Relationship between overall fluorosis prevalence and severity categories

      Read it in the full textOpen PDF at page 5 ↗
  5. What it means

    • The authors recommend providing safe water supplies via defluoridation technologies or alternative low-fluoride sources to reduce exposure. View evidence ↗

      What it means

      The authors recommend providing safe water supplies via defluoridation technologies or alternative low-fluoride sources to reduce exposure.

      In the paper's own words

      “The results highlight dental fluorosis as a major public health concern in Gokwe North and underscore the urgent need for targeted interventions, particularly the provision of safe water supplies through defluoridation technologies or alternative low-fluoride sources”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The study documented the prevalence and severity of fluorosis but did not directly investigate the causal pathways or other confounding factors. View evidence ↗

      What it means

      The study documented the prevalence and severity of fluorosis but did not directly investigate the causal pathways or other confounding factors.

      In the paper's own words

      “Scope restriction: The study successfully documents prevalence and severity but does not directly investigate causal pathways.”

      Page 6

      Found in: Scope restriction:

      Read it in the full textOpen PDF at page 6 ↗

Visual summary

1 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

Replotted from source data
Replotted from Table 2 (page 5) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Mean: Severely Affected vs Moderately Affected vs Slightly Affected vs Not Affected
Replotted from Table 2 (page 5) of the original paper. Every bar is the paper's own table value.

Replotted from Table 2 (page 5) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Mean: Severely Affected vs Moderately Affected vs Slightly Affected vs Not Affected

Replotted from Table 2 (page 5) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Adaptation of Dean’s fluorosis index in this studyTable 1Page 2Map of the study area. Schools surveyed for fluorosis are numbered 1 to 35; corresponding school names are given in Appendix 1.Figure 1Page 3Distribution of pupils affected versus those not affected by dental fluorosis across the 35 schools in this study. The schools are num-Figure 2Page 4Number of pupils in various fluorosis severity categories across all 35 schools.Figure 3Page 4Descriptive statistics of fluorosis distribution in Gokwe North DistrictTable 2Page 5Distribution of fluorosis severity categories across the 35 schools in the study area. The schools are numbered 1 to 35; correspondingFigure 4Page 5
FULL TEXT Original article · reflowed for reading

Introduction

Fluoride in drinking water, when present at optimal concentrations of approximately 0.5-1.5 mg/L, plays a protective role in the prevention of dental caries. However, chronic ingestion of fluoride above this range during tooth development can result in dental fluorosis, a condition characterized by hypomineralization of dental enamel. At higher concentrations and prolonged exposure, fluoride intake may also lead to skeletal fluorosis, with severe cases progressing to debilitating bone and joint deformities (WHO, 2022) [1] . As a result, excessive fluoride exposure through drinking water is recognized as a major public health concern in many parts of the world. Naturally elevated fluoride concentrations in groundwater have been documented in diverse geological settings globally, including India, China, the East African Rift Valley, parts of the Middle East, Europe, and Southern Africa (Fawell et al., 2006; WHO, 2022; Veneri et al., 2023) [2,1,3] . In these regions, fluoride contamination is predominantly geogenic, arising from the dissolution of fluoride-bearing minerals under specific lithostratigraphic and hydrogeological conditions (Podgorski et al., 2022; Ali et al., 2016) [5,4] . Communities that rely on untreated groundwater sources, particularly in rural settings where alternative water supplies are limited, are therefore at sustained risk of fluoride overexposure (Amini et al., 2008). In Zimbabwe, Gokwe North District is among the areas known to be affected by elevated fluoride levels in groundwater. Early investigations by Tobayiwa et al. (1991) [6] documented high fluoride concentrations in drinking water and reported evidence of dental fluorosis among schoolchildren. Subsequent hydrogeological studies by Mamuse (2003) [7] and Mamuse et al. (2016) [8] confirmed that fluoride contamination in the district is geogenic in origin and controlled by lithostratigraphy and groundwater flow patterns. Importantly, these studies indicate that the underlying geological conditions responsible for fluoride enrichment are persistent and unlikely to change without deliberate intervention, suggesting that exposure risks may remain over long time periods. Despite this evidence, systematic epidemiological assessments of dental fluorosis in Gokwe North have remained limited since the early 1990s. While groundwater fluoride levels have been characterized, districtwide data on the prevalence and severity of dental fluorosis among children have been sparse, and interschool variability in disease burden has not been comprehensively examined. In this context, the use of data collected in 2006 remains relevant, as it provides insight into the burden of disease in a setting where geogenic contamination persists and where large-scale mitigation measures have historically been limited. This study addresses these gaps by providing district-wide prevalence estimates of dental fluorosis among Grade 6 pupils across 35 primary schools in Gokwe North District. In addition to estimating overall prevalence, the study profiles the severity of fluorosis and examines inter-school variation in disease burden, offering evidence that was absent from earlier surveys. By generating baseline epidemiological data and highlighting spatial heterogeneity in fluorosis occurrence, the study provides information that is directly relevant for targeted public health interventions, water quality management, and future monitoring efforts in fluoride-affected regions.

Methodology

Methodology

Study design and study area

A cross-sectional school-based survey was conducted among Grade 6 pupils in Gokwe North District, located in western Zimbabwe (Figure 1). The study area was defined prior to fieldwork as a circle of radius 60 km centred on Sesame, the southern entry point into the district. This delineation was deliberately drawn on maps before commencement of the research to reduce travelling costs and ensure feasibility. All primary schools accessible from the road network within this radius were included, yielding 35 schools in total and providing broad spatial representation of fluoride exposure among school-aged children.

Figure 1. Map of the study area. Schools surveyed for fluorosis are numbered 1 to 35; corresponding school names are given in Appendix 1.
Map of the study area. Schools surveyed for fluorosis are numbered 1 to 35; corresponding school names are given in Appendix 1.↗ Enlarge
Figure 1
Map of the study area. Schools surveyed for fluorosis are numbered 1 to 35; corresponding school names are given in Appendix 1.

Map of the study area. Schools surveyed for fluorosis are numbered 1 to 35; corresponding school names are given in Appendix 1.

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗

Study population and sample size

A total of 1,883 Grade 6 pupils from primary schools located within the defined study area were examined. Grade 6 pupils were targeted because they fall within an age range where dental fluorosis, resulting from fluoride exposure during early childhood, can be reliably assessed. All pupils present on the day of examination and whose guardians and school authorities had provided consent were included in the study.

Dental examination and fluorosis assessment

Dental examinations were conducted on site at each school by two trained dentists working jointly to ensure diagnostic consistency. Dental fluorosis was assessed using an adaptation of Dean's Index (Dean, 1942) [9] shown in Table 1. The index is, a widely accepted epidemiological tool for grading fluorosis severity. In the adaptation, each pupil was classified into one of four categories: unaffected, slightly affected, moderately affected, or severely affected, based on the most severe presentation observed on the permanent teeth. To minimize inter-examiner variability, examinations were performed collaboratively, with both dentists reaching consensus on each diagnosis. Standard examination conditions were maintained across schools, and pupils were examined under natural light.

Table 1. Adaptation of Dean’s fluorosis index in this study
ClassificationDean IndexEnamel DescriptionAdaptation for this Study
Normal0Smooth, glossy, pale creamy-white with translucent surfaceUnaffected
Questionable0.5A few white flecks or white spotsSlightly affected
Very Mild1Small, opaque, paper-white areas covering < 25% of tooth surface
Mild2White opaque areas covering < 50% of tooth surfaceModerately affected
Moderate3All tooth surface affected; brown stain; marked wear on biting
surfaces
Severe4All tooth surface affected; brown stain; discrete or confluent pittingSeverely affected

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Adaptation of Dean’s fluorosis index in this study↗ Enlarge
Table 1
Adaptation of Dean’s fluorosis index in this study

Adaptation of Dean’s fluorosis index in this study

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗

Data management and statistical analysis

Data were recorded at the school level and aggregated for analysis.

Fluorosis prevalence was calculated as the proportion of affected pupils relative to the total number examined per school and across the district. Descriptive statistics were used to summarize overall prevalence and severity distribution. Statistical analyses were conducted to assess variability and relationships within the data. Analysis of variance (ANOVA) was used to evaluate differences in fluorosis prevalence among schools. Pearson correlation analysis was performed to examine the relationship between school population size and the number of pupils affected by fluorosis. Distribution characteristics, including mean, standard deviation, skewness, and kurtosis, were computed for each fluorosis severity category to assess patterns of dispersion and concentration across schools. Statistical significance was evaluated at the 5% level.

Ethical considerations

Ethical approval for the study was obtained through the relevant educational and health authorities prior to data collection. Permission was granted by school administrators, and informed consent was obtained from parents or guardians of participating pupils. All examinations were non-invasive, and data were anonymized to ensure confidentiality.

Results

Results

Overall prevalence of dental fluorosis

Overall prevalence of dental fluorosis

Variation in fluorosis prevalence among schools

Marked variation in fluorosis prevalence was observed among schools. Prevalence ranged from 12.7% at Katamba Primary School to 93.7% at Mudondo Primary School. Analysis of variance (ANOVA) confirmed that differences in fluorosis prevalence across schools were statistically significant (p = 0.048), indicating heterogeneity in disease burden within the district.

Distribution characteristics of fluorosis severity categories

Descriptive statistics for fluorosis severity categories aggregated at the school level are summarized in Table 2. For each category, the mean number of affected pupils per school, standard deviation, skewness, and kurtosis were calculated to describe distribution patterns across the 35 schools.

Table 2. Descriptive statistics of fluorosis distribution in Gokwe North District
CategoryMeanStandard. Deviation.SkewnessKurtosis
Severely Affected9.2012.361.993.16
Moderately Affected6.063.880.670.25
Slightly Affected7.945.191.522.97
Not Affected30.6019.330.82-0.01

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Descriptive statistics of fluorosis distribution in Gokwe North District↗ Enlarge
Table 2
Descriptive statistics of fluorosis distribution in Gokwe North District

Descriptive statistics of fluorosis distribution in Gokwe North District

Open full-size image ↗
Original paper tableSource PDF · page 5 ↗

Relationship between fluorosis prevalence and school size

Pearson correlation analysis was conducted to assess the relationship between total school enrollment and the number of pupils affected by fluorosis. No significant correlation was observed (r = 0.002, p = 0.990), indicating that fluorosis prevalence was not associated with school population size.

Relationship between overall fluorosis prevalence and severity categories

Schools with high overall fluorosis prevalence did not necessarily exhibit the highest proportions of severe fluorosis. Mudondo Primary School, which recorded the highest overall prevalence (93.7%), did not have the highest proportion of severe cases. In contrast, Umbe Primary School, with an overall prevalence of 87.1%, recorded the highest proportion of pupils classified as severely affected. The distribution of severity categories across schools is shown in Figure 4.

Figure 4. Distribution of fluorosis severity categories across the 35 schools in the study area. The schools are numbered 1 to 35; corresponding
Distribution of fluorosis severity categories across the 35 schools in the study area. The schools are numbered 1 to 35; corresponding↗ Enlarge
Figure 4
Distribution of fluorosis severity categories across the 35 schools in the study area. The schools are numbered 1 to 35; corresponding

Distribution of fluorosis severity categories across the 35 schools in the study area. The schools are numbered 1 to 35; corresponding

Open full-size image ↗
Original paper figureSource PDF · page 5 ↗

Discussion

This study demonstrates that dental fluorosis is a substantial public health concern in Gokwe North District, with 43.1% of examined Grade 6 pupils exhibiting some degree of fluorosis. The wide variation in prevalence among schools, ranging from 12.7% to 93.7%, indicates pronounced spatial heterogeneity in exposure within the district. These findings are consistent with the established geogenic origin of fluoride contamination in the area and reflect uneven groundwater fluoride concentrations linked to local hydrogeological conditions.

The observed prevalence aligns with earlier evidence from Zimbabwe. Tobayiwa et al. (1991) [6] reported elevated fluoride levels in drinking water and documented dental fluorosis among schoolchildren in affected districts, providing early epidemiological confirmation of fluoride-related health impacts. Hydrogeological investigations by Mamuse (2003) [7] and Mamuse et al. (2016) [8] further demonstrated that fluoride contamination in Gokwe North is con trolled by lithostratigraphy and groundwater flow regimes. The present study extends this body of work by providing district-wide prevalence estimates and severity profiling across 35 schools, offering a more comprehensive picture of the burden of disease than was previously available. When placed in a broader African context, the prevalence observed in Gokwe North is comparable to, and in some cases exceeds, rates reported in other high-fluoride regions. Studies from the East African Rift Valley have documented fluorosis prevalence ranging from approximately 30% to over 70% among school-aged children in parts of Kenya, Tanzania, and Ethiopia, depending on local fluoride concentrations and water sources (Rango et al., 2017; Ayenew, 2022) [10] . Similarly high prevalence has been reported in fluoride-endemic areas of Ethiopia, with rates up to 80% in the Rift Valley (Tekle-Haimanot et al., 2006) [11] , and northern Tanzania, where reliance on untreated groundwater is common (Magonthi et al., 2017) [12] . The findings from Gokwe North therefore situate the district among the more severely affected fluoride-endemic regions on the continent (Yadav et al., 2019) [13] , underscoring the regional significance of the problem. An important finding of this study is the mismatch between overall fluorosis prevalence and the distribution of severity across schools. Schools with the highest prevalence did not necessarily exhibit the highest proportions of severe fluorosis, indicating that prevalence alone does not fully capture disease burden. This pattern may reflect differences in fluoride dose, duration of exposure, and timing of exposure during critical periods of enamel formation. Pupils exposed to moderately elevated fluoride concentrations over longer periods may develop widespread but less severe fluorosis, whereas shorter exposure to very high fluoride levels during early childhood could result in fewer affected individuals but a higher proportion of severe cases. Such patterns are consistent with a dose-response relationship and highlight the importance of considering severity, not only prevalence, in fluorosis assessments. The absence of a significant association between school size and fluorosis prevalence further supports the conclusion that environmental exposure, rather than demographic factors, is the primary driver of disease distribution. This finding reinforces the need for localized water quality assessments, as children attending schools in close geographic proximity may still experience markedly different exposure profiles depending on the specific water sources used by their communities.

Study limitations

The study has three main limitations. Temporal constraint: The data underpinning the analysis were collected in 2006, which introduces a time lag. Nevertheless, given the geogenic nature of fluoride contamination and its persistence in Gokwe North, the findings remain relevant as baseline evidence.

Spatial delineation: The study area was deliberately defined as a circle of radius 60 km centred on Sasame, the southern entry point into the district. This delineation was made prior to fieldwork to reduce travelling costs and ensure feasibility. As a result, the semi-circular outer rim spanning eastern, northern, and western wards was excluded by design. While this ensured exhaustive coverage within the defined study area, it limits the generalizability of findings to the entire district.

Scope restriction:

The study successfully documents prevalence and severity but does not directly investigate causal pathways. The analysis did not assess the contribution of high-fluoride drinking water or other confounding factors. Future research should therefore adopt a comprehensive causative framework that considers alternative fluoride sources (e.g., toothpaste, foodstuffs), nutritional status, calcium intake, and socioeconomic conditions.

Implications to public health

The findings of this study demonstrate that dental fluorosis remains a significant public health concern in Gokwe North District, with marked variation in prevalence and severity across schools. This het-erogeneity underscores the localized nature of fluoride exposure and highlights the need for site-specific approaches rather than uniform, district-wide interventions. Within the limits of the present data, the most relevant implication is the importance of ensuring access to safe drinking water as a preventive measure. Schools may serve as strategic platforms for awareness and monitoring, given the observed burden among pupils. Health education integrated into school curricula could further strengthen community understanding of fluoride risks and safe water practices. These implications are grounded in the prevalence and severity data collected. Broader policy measures, including the evaluation of specific defluoridation technologies or socioeconomic determinants, require further research before being recommended with confidence.

Conclusions

This study demonstrates that dental fluorosis is a significant public health problem in Gokwe North District, with 43.1% of Grade 6 pupils affected and substantial variation in both prevalence and severity across schools. The wide inter-school heterogeneity observed highlights the localized nature of fluoride exposure and confirms that environmental factors, particularly groundwater fluoride concentration, are central to fluorosis distribution. By providing district-wide prevalence estimates, severity profiling, and inter-school comparisons, this study addresses important gaps left by earlier investigations and offers baseline epidemiological evidence relevant for public health planning in fluoride-endemic areas. Although the data were collected in 2006, the findings remain pertinent given the geogenic persistence of fluoride contamination and the limited implementation of large-scale mitigation measures in the district. The results underscore the need for targeted, site-specific interventions that prioritize communities with both high prevalence and severe fluorosis burden. At the same time, they highlight the importance of further research to clarify causal pathways, account for confounding factors, and evaluate sustainable mitigation strategies. Together, these implications and research priorities provide a foundation for more effective public health responses to fluoride-related disease in Gokwe North and other affected regions of Zimbabwe.

Recommendations for further research

The persistence of dental fluorosis in Gokwe North District, as shown in earlier surveys and reaffirmed by this study, highlights the need for sustained and coordinated investigation. Building on previous work that has measured fluoride concentrations at individual boreholes, future research should expand and update these datasets to capture current exposure levels and strengthen the evidence base for intervention planning. In addition, studies that examine nutritional status, calcium intake, and socioeconomic conditions are needed to clarify how these factors influence the manifestation and severity of fluorosis, thereby informing more holistic prevention strategies. Spatial analysis that integrates prevalence data with water quality information would provide valuable tools for identifying high-risk communities and prioritising resources. Evaluations of the cost-effectiveness and sustainability of defluoridation technologies in rural settings are also essential to ensure that proposed solutions are practical and scalable. Finally, research into effective community education and mechanisms for collaboration among the health, water, and education sectors will be critical to supporting long-term mitigation efforts. and as a co-author of this paper, while Dr. Makwarimba worked alongside him in conducting the dental examinations. Although not listed as a co-author, his commitment and expertise in the field were indispensable to the success of this study. We gratefully acknowledge the late Fortune Gomo (née Nyatsanza), whose dedication as a member of the field team was invaluable. She worked closely with school teachers and guardians to prepare pupils for dental examinations, meticulously recorded results, and assisted in compiling an earlier, broader version of the manuscript that evolved into this paper. Her contribution remains deeply appreciated.

Appendix I.

Appendix I.

Prevalence of fluorosis among Gokwe North primary schools in this study

Prevalence of fluorosis among Gokwe North primary schools in this study

School

School

Acknowledgement

AcknowledgementsThis research was supported by financial assistance from the Water Research Fund for Southern Africa (WAFSA) and administered through the Institute of Environmental Studies at the University of Zimbabwe. Ethical approval was granted by the Medical Research Council of Zimbabwe. We are grateful to the Ministry of Health for seconding two senior dentists, Dr. F. Sibanda and Dr. F. W. Makwarimba, to the project. Dr. Sibanda contributed both in the field

Figures and tables from the paper

Figure 2. Distribution of pupils affected versus those not affected by dental fluorosis across the 35 schools in this study. The schools are num-
Distribution of pupils affected versus those not affected by dental fluorosis across the 35 schools in this study. The schools are num-↗ Enlarge
Figure 2
Distribution of pupils affected versus those not affected by dental fluorosis across the 35 schools in this study. The schools are num-

Distribution of pupils affected versus those not affected by dental fluorosis across the 35 schools in this study. The schools are num-

Open full-size image ↗
Original paper figureSource PDF · page 4 ↗
Figure 3. Number of pupils in various fluorosis severity categories across all 35 schools.
Number of pupils in various fluorosis severity categories across all 35 schools.↗ Enlarge
Figure 3
Number of pupils in various fluorosis severity categories across all 35 schools.

Number of pupils in various fluorosis severity categories across all 35 schools.

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Original paper figureSource PDF · page 4 ↗

References

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  16. How to cite this article: Mamuse A, Sibanda F, Mutakaya M. Prevalence and severity of dental fluorosis among Grade 6 pupils in Gokwe North District, Zimbabwe: A cross-sectional study. International Journal of Geography, Geology and Environment. 2026;8(10):46-53. doi: https://www.doi.org/10.22271/27067483. 2026.v8.i10a.890