Literature DB >> 26034731

The prevalence of adulthood overweight and obesity in Tehran: findings from Urban HEART-2 study.

Aliasghar Ahmad Kiadaliri1, Mehdi Jafari2, Mohammad-Reza Vaez Mahdavi3, Soghrat Faghihzadeh4, Naser Kalantari5, Mohsen Asadi-Lari6.   

Abstract

BACKGROUND: To estimate and compare prevalence of overweight and obesity among adult people across the 22 districts of Tehran in 2011.
METHODS: This was a cross-sectional study using data on 47,406 women and 47,525 men aged≥ 15 years from a large population-based survey (Urban HEART-2). Age-standardized prevalence (ASP) of overweight (25≤BMI<30) and obesity (BMI≥30) were estimated for the Tehran's districts. Pearson Chi2 tests and logistic regression were used to examine any significant differences in prevalence of these disorders across sociodemographic groups.
RESULTS: ASPs of overweight were 36.5% and 32.0 % among men and women, respectively (p<0.001). These figures for obesity were 10.7% and 15.3% among men and women, respectively (p<0.001). Crude prevalence of overweight and obesity rose with age up to the age of 54 years and decreased thereafter. Across education groups, the lowest prevalence of overweight/obesity was seen among most educated people. The results showed that being young, single and student were associated with lower odds of overweight/obesity.
CONCLUSION: This study showed a high prevalence of overweight and obesity among adult in Tehran. There were significant associations between sociodemographic characteristics and prevalence of overweight/obesity among adults in Tehran. The results of this study might be used in identifying high risk groups of overweight and obesity in Tehran.

Entities:  

Keywords:  Obesity; Overweight; Prevalence; Tehran

Year:  2015        PMID: 26034731      PMCID: PMC4431433     

Source DB:  PubMed          Journal:  Med J Islam Repub Iran        ISSN: 1016-1430


Introduction

World Health Organization (WHO) describes obesity as one of the main public-health problem that threatens to overwhelm the entire world (1). Obesity is a medical disorder that also leads to a large number of comorbidities including hypertension, type 2diabetes and cardiovascular disease (2). This association is profoundly important for the affected individuals, but the associated morbidity is also economically damaging for society (3). Recently, WHO European region office has reported that overweight and obesity are responsible for about 80% of cases of type 2 diabetes, 35% of ischemic heart disease, and 55% of hypertensive disease among adults in the region, and cause more than one million deaths and 12 million life-years of ill health each year (4). Like many other countries in the world, overweight and obesity is common in Iran. A recent nationwide survey reported that age-adjusted prevalence of overweight or obesity (BMI≥25) was 42.8% and 57.0% in men and women, respectively in 2004-2005 (5). Among these people, 11.1% of men and 25.2% of women were obese (BMI≥30) (5). Urbanization and changes in life style including improper eating habits and physical inactivity are considered as main causes of increasing obesity in Iran (6, 7). It is expected that these changes are more common among population in Tehran as capital of the country. While some previous studies examined the prevalence of overweight and obesity in Tehran, but they either reported an overall rate (8) or estimate a rate for a specific district (9). The aims of the current study were to present an update estimate of overweight and obesity prevalence among Tehranian adults and examining the distribution of these disorders across the 22 districts of Tehran using data from a large population-based survey (Urban HEART) in 2011.

Methods

Urban Health Equity Assessment and Response Tool (Urban HEART) is rather an approach for evidence-based practice and policy making at national and local levels to identify and analyze inequities in health between people living in various parts of cities, or belonging to different socioeconomic groups within and across cities. It facilitates decisions on viable and effective strategies, interventions and actions that should be used to reduce inter- and intra-city health inequities (10). In October 2011, the second round of Urban HEART project was conducted to determine inequalities in physical, mental, social and environmental health components supported by Municipality of Tehran.

Sampling design

To collect data in 22 districts and 368 neighborhoods of Tehran, a multistage sampling was applied. Comprehensive map of Tehran in 2011 separated by the districts and neighborhoods was selected as the sampling frame. The first and the second stages were stratified sampling. 22 districts of the municipality and 368 neighborhoods were considered as stratums in the first stage and the second stage respectively. The third stage was cluster sampling and each block was treated as one cluster. A two-dimensional systematic sampling method was used to select blocks in each neighborhood using GIS maps. Then the houses were numbered in each block and 8 houses were selected in each block systematically based on an eight-box table including four age groups (15-24, 25-44, 45-64, and 65 and over) and both sexes. The sample size was determined as 1535 households in each district based on a prevalence of 10% with a margin of error of 0.015% and a confidence interval (CI) of 95%. Then to facilitate the allocation of sample to the mentioned eight-box table that must be completed for the individual questionnaires expanded to 1600 households. For sample allocation at neighborhood level, the method of the probability proportional to size of each district was used.

Questionnaires

In this project, there were three types of questionnaires consisted of 20 parts that the first 14 parts were completed for all selected households in the blocks and the remaining six parts (mental health, health-related quality of life, social capital, physical pain, physical activity and oral health) were completed by a selected individual in each household. The last type of questionnaire was special for nutrition and was completed for a selected household in each block. In Urban HEART-2 we have collected data about demographics, assets, children health, accidents, domestic violence, disabilities, smoking and addiction, chronic diseases, household costs, nutrition habits, food insecurity, health service utilization and also individual data about mental health, health-related quality of life, pain, physical activity, social capital and oral health, through a multi-stage cluster random sampling proportional to population size at neighborhood level. Further details have been published earlier (11).

Statistical analysis

Using self-reported data on height and weight, we calculated body mass index (BMI) as weight (kg)/height (m)2. Then, overweight and obesity were defined following WHO recommendation: overweight 25≤BMI< 30; obesity BMI≥ 30. The frequencies were provided as per cent. Data were stratified by sociodemographic characteristics and districts. Age-standardized prevalence (ASP) was calculated using the WHO reference population (12). In univariate analysis, we used Chi2 test to examine significant differences in prevalence of overweight and obesity across sociodemographic strata. Multivariate analysis was conducted using logistic regression. STATA version 11 (Stata Corp LP, College Station, TX, USA) was used for statistical analysis.

Results

The study population included 94,931 individuals 15 years or older distributed in the 22 districts of Tehran. Table 1 shows baseline characteristics of the sample. The mean age was 40.3 (± 16.8) and 50.1% were male. The mean BMI was 25.2 (± 4.5) for total sample. In total, 34.6% and 13.1% of the sample were overweight and obese, respectively.
Table 1

Baseline characteristics of the study sample from Urban HEART-2 study stratified by gender.

WomenMen
N47,40647525
Age (mean ± SD)39.9 ± 16.240.6 ± 17.3
BMI (mean ± SD)25.3 ± 4.825.2 ± 4.2
BMI categories (%)
BMI < 18.55.73.7
18.5 ≤ BMI < 2546.548.8
25 ≤ BMI < 3032.436.8
BMI ≥ 3015.410.7
Education
No formal education17.812.8
Primary school10.911.7
Secondary school13.616.3
High school29.229.4
Associate degree8.19.0
Bachelor and higher20.420.8
Marital status
Single28.935.8
Married61.361.8
Widow/widower7.81.3
Divorced2.01.1
Employment status
Employed11.055.4
Unemployed8.213.9
Student15.113.4
Housekeeper60.60.6
Retired5.116.7
Fig. 1 displays crude prevalence of overweight and obesity across age groups by gender. Among men, the highest prevalence of both overweight and obesity was observed in the age group of 45-54. Among women, the highest prevalence of overweight was observed in the age group of 55-64 while the highest prevalence of obesity was seen in the age group of 45-54. In both gender groups, the lowest prevalence of overweight and obesity was observed in the youngest age group.
Fig. 1
Crude prevalence of overweight and obesity across age groups stratified by gender. Table 2 presents crude prevalence of overweight and obesity across sociodemographic strata in Tehran. The lowest and the highest prevalence of overweight and obesity were observed in people in the age groups of 15-24 and 45-54 years old, respectively. It can be seen that prevalence of overweight and obesity rose with age up to the age of 54 years and decreased thereafter. The univariate analysis showed an inverse association between education and prevalence of overweight and obesity. Across marital groups, single people had the lowest prevalence of overweight and obesity. Students had the lowest prevalence of overweight and obesity across employment strata.
Table 2

Association between sociodemographic characteristics and crude prevalence (%) of overweigh and obesity in Tehran.

Univariate analysisMultivariate analysis (OR; 95% CI)
Overweight (25≤BMI<30)Obesity (BMI≥30)Overweight (25≤BMI<30)Obesity (BMI≥30)
Gender
Male36.7610.70RefRef
Female32.3515.450.66 (0.63-0.69)1.00 (0.93-1.07)
P for independence<0.001<0.001
Age groups
15-2418.094.46RefRef
25-3429.608.221.42 (1.34-1.50)1.40 (1.27-1.55)
35-4442.3416.511.98 (1.85-2.11)2.26 (2.03-2.51)
45-5444.0820.602.03 (1.90-2.17)2.62 (2.36-2.92)
55-6443.7119.771.99 (1.85-2.14)2.36 (2.11-2.64)
65-7442.7316.641.93 (1.77-2.10)1.76 (1.55-2.00)
≥ 7534.0414.421.36 (1.22-1.51)1.40 (1.20-1.63)
P for independence<0.001<0.001
Education
No formal education40.2821.79RefRef
Primary school40.7719.561.06 (1.00-1.12)0.95 (0.89-1.01)
Secondary school33.1413.511.05 (0.99-1.11)0.84 (0.79-0.90)
High school35.6611.591.10 (1.05-1.15)0.65 (0.62-0.70)
Associate degree31.168.601.08 (1.01-1.15)0.59 (0.54-0.65)
Bachelor and higher27.846.720.93 (0.88-0.98)0.47 (0.44-0.51)
P for independence<0.001<0.001
Marital status
Single20.604.88RefRef
Married41.7616.731.60 (1.52-1.68)1.64 (1.51-1.78)
Widow/widower37.9723.591.61 (1.48-1.75)2.21 (1.97-2.48)
Divorced32.3012.501.23 (1.09-1.39)1.37 (1.15-1.63)
P for independence<0.001<0.001
Employment status
Employed38.0611.17RefRef
Unemployed25.857.750.88 (0.84-0.93)0.97 (0.89-1.06)
Student17.064.180.82 (0.77-0.88)0.92 (0.82-1.04)
Housekeeper39.6120.761.29 (1.23-1.36)1.57 (1.45-1.70)
Retired41.9914.630.98 (0.93-1.04)1.01 (0.94-1.09)
P for independence<0.001<0.001
The results of logistic regression (Table 2, Columns 4 & 5) showed that females, the age group of 15-24 years old, bachelor and higher education, being single and student were associated with the lowest odds of being overweight. After control for other covariates, there was no gender disparity in prevalence of obesity. There was an inverse association between education and obesity, all else equal. Single people and students had the lower odds of being obese than other groups. Figs. 2 and 3 show the ASP of overweight and obesity across the Tehran’s districts. The districts 16, 18, 19 had the highest ASP of both overweight and obesity. On the other hand, the districts 1, 3, 6, and 7 had the lowest ASP of both overweight and obesity. Table 3 shows the ASP of overweight and obesity across Tehran's districts for both genders. Overall ASP of overweight was 36.5% and 32.0% among men and women, respectively (p<0.001). These figures for obesity were 10.7% and 15.3% among men and women, respectively (p<0.001). The lowest ASP of overweight was observed among females in district 3 (26.8%) and the lowest ASP of obesity was reported among males in district 6 (7.2%). There were significant sex-disparities in ASP of both overweight and obesity across the Tehran’s districts.
Fig. 2
Fig. 3
Table 3

Age-adjusted prevalence (%) of overweigh and obesity across Tehran's districts stratified by gender.

DistrictsOverweight (25≤BMI<30)Obesity (BMI≥30)
MalesFemalespMalesFemalesp
D135.8328.26<0.0017.7111.59<0.001
D236.9829.02<0.00111.2413.430.024
D338.7926.78<0.0018.0910.120.024
D436.2532.050.0049.1213.04<0.001
D537.9030.43<0.00110.6314.53<0.001
D635.5327.36<0.0017.208.870.040
D733.9629.710.00310.4013.390.002
D837.0732.510.00210.2013.400.001
D935.2634.040.41610.2415.78<0.001
D1035.5531.490.0069.9814.07<0.001
D1138.0733.750.00411.0314.95<0.001
D1235.1833.720.30911.6617.00<0.001
D1335.1632.100.03911.0915.42<0.001
D1436.6733.280.02312.3516.75<0.001
D1535.5133.500.14112.2419.20<0.001
D1637.6333.910.01312.9018.80<0.001
D1736.7433.030.01511.3217.43<0.001
D1837.0734.710.08011.2518.38<0.001
D1937.6635.180.08313.3720.65<0.001
D2036.6232.260.00112.1118.18<0.001
D2135.5832.150.01210.7216.43<0.001
D2239.0132.45<0.00111.1315.30<0.001
Total36.5131.98<0.00110.7015.28<0.001
Age-standardized prevalence of overweight (25≤BMI<30) across Tehran’s districts. Age-standardized prevalence of obesity (BMI≥30) across Tehran’s districts.

Discussion

While the national estimate of overweight and obesity is an important tool for policy-making, examining the distribution of these conditions within- and between geographic areas are equally important for informed decision-making in resource allocation to preventive and therapeutic programs. In the current study, distribution of overweight and obesity across the 22 districts of Tehran was examined using data from a large population-based survey. The results of the study showed the high prevalence of overweight and obesity for all districts in Tehran. Moreover, there were significant disparities in distribution of overweight and obesity across sociodemographic strata and the districts in Tehran. The high prevalence of overweight and obesity in Tehran is consistent with previous national estimates in 2005 (5, 13). One may expect a high prevalence of overweight and obesity for Tehranian adults as it is most industrialized city of the country and experience rapid socioeconomic changes which are among main causes of overweight and obesity worldwide (14). This high prevalence means that overweight and obesity is a very serious health problem in Iran and implies that a high rate of obesity-related disorders is expected among Iranian population in coming years. Using the same reference population as the current study, Finucane et al. (15) reported a worldwide ASP of obesity of 9.8% in men and 13.8% in women. This implies that prevalence of obesity is worryingly higher than worldwide average among men and women in Tehran. We found significant variations in prevalence of overweight and obesity across the districts in Tehran. This difference maintained even after control for age differences between the districts. In a national survey, significant regional differences in distribution of BMI categories were observed in Iran (13). In addition, geographic variation in overweight and obesity levels for children and adults were also reported in other countries (16-20). There are some potential explanations for this geographic variation: first, it might be due to differences in individuals' characteristics living in the districts such as attitudes, beliefs, socioeconomic status, and physical activity; second, it might be due to differences in environmental features of the districts such as availability of places for physical activity, access to health care; third, differences in implemented policies by health authorities or municipalities which support healthy life style. While overweight was less common among females, they were more obese than males in all districts of Tehran. Similar trend was observed among adults in the other regions of Iran (21, 22) and other countries (23-27). Moreover, higher prevalence of obesity among females than males is a global phenomenon and has been widely examined (15, 28-30). Consistent with some previous studies in Iran (5, 13), the results showed that overweight and obesity rose with age until age 54 and decrease later on. This higher prevalence of overweight and obesity up to middle age and a decline thenceforth was also observed in other countries (2, 31). This could be possibly explained by weight loss occurring in old age or/and higher risk of mortality for obese (32, 33). While there is no consensus on association between overweight/obesity and marital status, our finding of lower prevalence of overweight/obesity among single people was in line with previous studies in Iran and other countries (34-36). Less physical activity, changing of dietary pattern, less concern about being attractive and having more social support for married people constitute main explanations for this association (34, 37). In line with previous studies (38-40) we found an inverse association between obesity and education in our study. It is argued that better education is associated with health literacy which might resulted in higher consumption of fruits and vegetables and lower consumption of fats (41). Using data from a large population-based survey and providing update estimates of prevalence of overweight and obesity for the 22 districts of Tehran are main advantages of the current study. However, the results of this study should be interpreted in light of some limitations. First, data on weight and height were self-reported by participants. These are prone to bias (downward bias for weight and upward bias for height) (42) which might cause downward bias in our estimated prevalence here. Second, this is a descriptive cross-sectional study meaning that no casual inference from findings is possible. Third, cross-sectional design of the study limits us to examine changes in prevalence of overweight and obesity over time.

Conclusion

The results of this large population-based survey showed a high prevalence of overweight and obesity among Tehranian adults. Moreover, there were significant disparities in distribution of overweight and obesity across sociodemographic strata in Tehran. A high incidence of obesity-related disorders is expected in coming years implying considerable economic burden for health system which needs to be considered by health authorities and policy-makers in Iran.
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