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Objective To assess obesity, the relationship between body mass index (BMI) and body fat percentage (BF%) among adults, and determine the appropriate BMI cut-points in Kiribati.
Methods A cross-sectional study was undertaken among 483 adults randomly selected from South Tarawa (urban) and Butaritari (rural). Weight, height, BF% and physical activity level (PAL) was measured using standard methods. Linear and quadratic regression analyses were conducted to assess the association between BF% and BMI whilst controlling for age and gender. ROC curve analyses were used to assess whether for the Kiribati population alternative BMI cut-off points for obesity are needed.
Results Approximately 75% of participants were obese using standard BMI and BIA cut-offs, with the highest prevalence observed in South Tarawa. BF% was significantly (p<0.001) and positively associated with age (males, r=0.78; females, r=0.67; p<0.000) and BMI. Based on ROC-curve analyses the BMI cut-offs for predicting high BF% among I-Kiribati people were 24.5kg/m 2 for males and 32.9 kg/m 2 for females
Conclusion In conclusion, the majority of adults in Kiribati were either obese or overweight and had high BF%. We suggest that ethnic-specific BMI cut-points to define obesity for the population of Kiribati may be more appropriate than the currently used international cut-points.
Keywords
Body Mass Index, Body fat percent, relationship, predictor, adults, Kiribati
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CURRENT STATUS: Published
View the published article at BMC Public Health.
Version 1
Posted 18 Oct, 2019
No community comments so far
Review #2 received
Received 11 May, 2020
Editorial decision: Major revision
On 11 May, 2020
Reviewer #2 agreed
On 04 Nov, 2019
Review #1 received
Received 31 Oct, 2019
Reviewer #1 agreed
On 30 Oct, 2019
Reviewers invited
Invitations sent on 21 Oct, 2019
Editor assigned
On 09 Oct, 2019
Submission checks complete
On 08 Oct, 2019
Editor invited
On 08 Oct, 2019
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Subject Areas
Health Policy
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A new preprint design is coming!
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See the published version of this preprint at BMC Public Health.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at BMC Public Health.
Version 1
Posted 18 Oct, 2019
No community comments so far
Review #2 received
Received 11 May, 2020
Editorial decision: Major revision
On 11 May, 2020
Reviewer #2 agreed
On 04 Nov, 2019
Review #1 received
Received 31 Oct, 2019
Reviewer #1 agreed
On 30 Oct, 2019
Reviewers invited
Invitations sent on 21 Oct, 2019
Editor assigned
On 09 Oct, 2019
Submission checks complete
On 08 Oct, 2019
Editor invited
On 08 Oct, 2019
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Health Policy
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at BMC Public Health.
Objective To assess obesity, the relationship between body mass index (BMI) and body fat percentage (BF%) among adults, and determine the appropriate BMI cut-points in Kiribati.
Methods A cross-sectional study was undertaken among 483 adults randomly selected from South Tarawa (urban) and Butaritari (rural). Weight, height, BF% and physical activity level (PAL) was measured using standard methods. Linear and quadratic regression analyses were conducted to assess the association between BF% and BMI whilst controlling for age and gender. ROC curve analyses were used to assess whether for the Kiribati population alternative BMI cut-off points for obesity are needed.
Results Approximately 75% of participants were obese using standard BMI and BIA cut-offs, with the highest prevalence observed in South Tarawa. BF% was significantly (p<0.001) and positively associated with age (males, r=0.78; females, r=0.67; p<0.000) and BMI. Based on ROC-curve analyses the BMI cut-offs for predicting high BF% among I-Kiribati people were 24.5kg/m 2 for males and 32.9 kg/m 2 for females
Conclusion In conclusion, the majority of adults in Kiribati were either obese or overweight and had high BF%. We suggest that ethnic-specific BMI cut-points to define obesity for the population of Kiribati may be more appropriate than the currently used international cut-points.
Figure 1
Figure 2
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