Assessment of Longitudinal and Cross-sectional Effects of Age on Adult Obesity in an Iranian Population: Results from a Large Population-Based Cohort Study
被引:1
作者:
Alhossainil, Mahsa Rafiee
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Tarbiat Modares Univ, Fac Med Sci, Dept Biostat, Tehran, IranTarbiat Modares Univ, Fac Med Sci, Dept Biostat, Tehran, Iran
Alhossainil, Mahsa Rafiee
[1
]
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Kazemnejad, Anoshirvan
[1
]
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Zayeri, Farid
[2
,3
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Sadeghi, Masoumeh
[4
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机构:
[1] Tarbiat Modares Univ, Fac Med Sci, Dept Biostat, Tehran, Iran
[2] Shahid Beheshti Univ Med Sci, Prote Res Ctr, Sch Appl Med Sci, Tehran, Iran
[3] Dept Biostat, Prote Res Ctr, Sch Appl Med Sci, Tehran, Iran
[4] Isfahan Univ Med Sci, Cardiac Rehabil Res Ctr, Isfahan Cardiovasc Res Inst, Esfahan, Iran
Background: The risk of obesity commonly changes with age, which is a longitudinal (aging) effect. Moreover, the individuals who enter the study at the same age have similar living conditions that may influence their obesity risk in a particular way; this is a cross-sectional effect. Both cross-sectional and longitudinal effects of age should be considered for a better understanding of the effect of age on obesity and the related factors. Objectives: The present study aimed to (i) assess both the cross-sectional and longitudinal effects of age on obesity and (ii) determine how obesity changes with age in the target population using a Marginal Logistic Regression (MLR) model. Methods: The current study made use of the information of individuals who had participated in the Isfahan Cohort Study. Participants were a large group of Iranian adults over 35 years of age who lived in the central region of Iran in 2001. Repeated measurements were obtained in 2001, 2007, and 2013. Results: From 2001 to 2013, the percentage of obesity in men and women raised from 13% and 31% to 18% and 44%, respectively. Both cross-sectional and longitudinal effects of age were significantly associated with the odds ratio of obesity. There was a rise in the probability of obesity for individuals aged 35-60 years at baseline and a decline for the older ones. The odds of obesity had about a 2% increase (on average) per year, regardless of the baseline age. Conclusion: The obtained results pointed to a difference between the cross-sectional and longitudinal effects of age on the probability of obesity in the target population. The high and rising prevalence of obesity was a serious public health issue among participants, especially women, aged 35-60 years. The assessment of changes in obesity in a population-based study provides opportunities to target subpopulations that need more care and attention in public health interventions.
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Department of Statistics and Computer, University of Social Welfare and Rehabilitation Sciences, TehranDepartment of Statistics and Computer, University of Social Welfare and Rehabilitation Sciences, Tehran
Bakhshi E.
;
Seifi B.
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机构:
Department of Physiology, Medicine School, Tehran University of Medical SciencesDepartment of Statistics and Computer, University of Social Welfare and Rehabilitation Sciences, Tehran
Seifi B.
;
Biglarian A.
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机构:
Department of Statistics and Computer, University of Social Welfare and Rehabilitation Sciences, TehranDepartment of Statistics and Computer, University of Social Welfare and Rehabilitation Sciences, Tehran
Biglarian A.
;
Mohammad K.
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机构:
Department of Biostatistics, School of Public Health, Tehran University of Medical SciencesDepartment of Statistics and Computer, University of Social Welfare and Rehabilitation Sciences, Tehran
机构:
Department of Statistics and Computer, University of Social Welfare and Rehabilitation Sciences, TehranDepartment of Statistics and Computer, University of Social Welfare and Rehabilitation Sciences, Tehran
Bakhshi E.
;
Seifi B.
论文数: 0引用数: 0
h-index: 0
机构:
Department of Physiology, Medicine School, Tehran University of Medical SciencesDepartment of Statistics and Computer, University of Social Welfare and Rehabilitation Sciences, Tehran
Seifi B.
;
Biglarian A.
论文数: 0引用数: 0
h-index: 0
机构:
Department of Statistics and Computer, University of Social Welfare and Rehabilitation Sciences, TehranDepartment of Statistics and Computer, University of Social Welfare and Rehabilitation Sciences, Tehran
Biglarian A.
;
Mohammad K.
论文数: 0引用数: 0
h-index: 0
机构:
Department of Biostatistics, School of Public Health, Tehran University of Medical SciencesDepartment of Statistics and Computer, University of Social Welfare and Rehabilitation Sciences, Tehran