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인지기능에 비만 역설은 존재하는가?: 고령화연구패널자료(2006–2016)를 이용하여

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dc.contributor.author김희진-
dc.contributor.author박소희-
dc.contributor.author정우진-
dc.date.accessioned2021-05-21T16:56:49Z-
dc.date.available2021-05-21T16:56:49Z-
dc.date.issued2020-12-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/182628-
dc.description.abstractBackground: There have been many studies on the associations between body mass index (BMI) and cognitive function. However, no study has ever compared the associations across the methods of categorizing BMI. In this study, we aimed to fill the gap in the previous studies and examine whether the obesity paradox is valid in the risk of cognitive function. Methods: Of the 10,254 people aged 45 and older from the Korean Longitudinal Study of Ageing from 2006 to 2016, 8,970 people were finalized as the study population. The dependent variable was whether a person has a normal cognitive function or not, and the independent variables of interest were BMI categorized by the World Health Organization Western Pacific Regional Office (WHO-WPRO) method, the WHO method, and a 10-group method. Covariates included sociodemographic factors, health behavior factors, and health status factors. A generalized linear mixed model analysis with a logit link was used. Results: In the adjusted model with all covariates, first, in the case of BMI categories of the WHO-WPRO method, underweight (odds ratio [OR], 1.16; 95% confidence interval [CI], 1.15-1.17), overweight (OR, 1.36; 95% CI, 1.35-1.36), and obese (OR, 1.34; 95% CI, 1.33-1.34) groups were more likely to have a normal cognitive function than a normal-weight group. Next, in the case of BMI categories of the WHO method, compared to a normal-weight group, underweight (OR, 1.15; 95% CI, 1.14-1.16) and overweight (OR, 1.06; 95% CI, 1.06-1.07) groups were more likely to have a normal cognitive function; however, obese (OR, 0.62; 95% CI, 0.61-0.63) group was less likely to have it. Lastly, in the case of the 10-group method, as BMI increased, the likelihood to have a normal cognitive function changed like a wave, reaching a global top at group-7 (26.5 kg/㎡ ≤ BMI <28.0 kg/㎡). Conclusion: The associations between BMI and cognitive function differed according to how BMI was categorized among people aged 45 and older in Korea, which suggests that cognitive function may be positively associated with BMI in some categories of BMI but negatively in its other categories. Health policies to reduce cognitive impairment need to consider this association between BMI and cognitive function.-
dc.description.statementOfResponsibilityopen-
dc.languageKorean-
dc.publisherKorean Academy of Health Policy and Management-
dc.relation.isPartOfHealth Policy and Management (보건행정학회지)-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHBackground: There have been many studies on the associations between body mass index (BMI) and cognitive function. However, no study has ever compared the associations across the methods of categorizing BMI. In this study, we aimed to fill the gap in the previous studies and examine whether the obesity paradox is valid in the risk of cognitive function. Methods: Of the 10,254 people aged 45 and older from the Korean Longitudinal Study of Ageing from 2006 to 2016, 8,970 people were finalized as the study population. The dependent variable was whether a person has a normal cognitive function or not, and the independent variables of interest were BMI categorized by the World Health Organization Western Pacific Regional Office (WHO-WPRO) method, the WHO method, and a 10-group method. Covariates included sociodemographic factors, health behavior factors, and health status factors. A generalized linear mixed model analysis with a logit link was used. Results: In the adjusted model with all covariates, first, in the case of BMI categories of the WHO-WPRO method, underweight (odds ratio [OR], 1.16-
dc.subject.MESH95% confidence interval [CI], 1.15–1.17), overweight (OR, 1.36-
dc.subject.MESH95% CI, 1.35–1.36), and obese (OR, 1.34-
dc.subject.MESH95% CI, 1.33–1.34) groups were more likely to have a normal cognitive function than a normal-weight group. Next, in the case of BMI categories of the WHO method, compared to a normal-weight group, underweight (OR, 1.15-
dc.subject.MESH95% CI, 1.14–1.16) and overweight (OR, 1.06-
dc.subject.MESH95% CI, 1.06–1.07) groups were more likely to have a normal cognitive function-
dc.subject.MESHhowever, obese (OR, 0.62-
dc.subject.MESH95% CI, 0.61–0.63) group was less likely to have it. Lastly, in the case of the 10-group method, as BMI increased, the likelihood to have a normal cognitive function changed like a wave, reaching a global top at group-7 (26.5 kg/m2≤ BMI <28.0 kg/m2). Conclusion: The associations between BMI and cognitive function differed according to how BMI was categorized among people aged 45 and older in Korea, which suggests that cognitive function may be positively associated with BMI in some categories of BMI but negatively in its other categories. Health policies to reduce cognitive impairment need to consider this association between BMI and cognitive function.-
dc.title인지기능에 비만 역설은 존재하는가?: 고령화연구패널자료(2006–2016)를 이용하여-
dc.title.alternativeDoes the Obesity Paradox Exist in Cognitive Function?: Evidence from the-
dc.typeArticle-
dc.contributor.collegeGraduate School of Public Health (보건대학원)-
dc.contributor.departmentGraduate School of Public Health (보건대학원)-
dc.contributor.googleauthor강경식-
dc.contributor.googleauthor이용재-
dc.contributor.googleauthor박소희-
dc.contributor.googleauthor김희진-
dc.contributor.googleauthor정우진-
dc.identifier.doi10.4332/KJHPA.2020.30.4.49-
dc.contributor.localIdA01226-
dc.contributor.localIdA01531-
dc.contributor.localIdA03670-
dc.relation.journalcodeJ03738-
dc.identifier.eissn1225-4266-
dc.subject.keywordObesity paradox-
dc.subject.keywordBody mass index-
dc.subject.keywordObesity-
dc.subject.keywordCognitive dysfunction-
dc.subject.keywordCognition-
dc.subject.keywordMiddle aged and older people-
dc.subject.keywordLongitudinal studies-
dc.subject.keywordRepublic of Korea-
dc.contributor.alternativeNameKimm, Hee Jin-
dc.contributor.affiliatedAuthor김희진-
dc.contributor.affiliatedAuthor박소희-
dc.contributor.affiliatedAuthor정우진-
dc.citation.volume30-
dc.citation.number4-
dc.citation.startPage493-
dc.citation.endPage504-
dc.identifier.bibliographicCitationHealth Policy and Management (보건행정학회지), Vol.30(4) : 493-504, 2020-12-
Appears in Collections:
4. Graduate School of Public Health (보건대학원) > Graduate School of Public Health (보건대학원) > 1. Journal Papers

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