Body form and nutritional status among adult males of different social groups in Orissa and Bihar States in India

This paper aims to carry out a biological investigation of the body form and nutritional status of the major social groups of Orissa and Bihar States in India. For this, Cormic Index (CI) and Body Mass Index (BMI) have been computed using data on height, sitting height and weight, taken from adult males of age 18-62 years of various ethnic groups in these two states. The subjects have been classified on the basis of chronic energy deficiency (CED). It is found that a substantial proportion of the people with CED are in the grade II and grade III categories. ANOVA, t-tests, correlation and regression were carried out separately. The results reveal that in Orissa, Scheduled Tribes are shorter, lighter and have lowest mean values of BMI and Cormic Index compared to other groups, but in Bihar, though the Scheduled Tribes are shorter, Scheduled Castes are lower in weight and have the lowest mean values of BMI. There are significant differences in BMI as well as in CI between Scheduled Tribes of Orissa and Bihar. Scheduled Castes and Tribes of Bihar have the highest percentage of CED with 64.71% and 57.45%, respectively. Muslims of Bihar are also affected (52.95%), but overall prevalence of CED is lower in Orissa (49.11%) than in Bihar (54.62%). BMI and CI are highly correlated for each of the social groups in Bihar and Orissa.     

Obesity prevalence and nutritional habits among Indian women: a comparison between Punjabi women living in India and Punjabi migrants in Vienna, Austria

The current study aimed to determine the prevalence of obesity and overweight among Indian women living in Punjab, India and in Vienna, Austria. A series of 115 women ageing between 17 and 80 years (x = 38.7 yrs; +/- 14.5) was enrolled in the present study. 65 women lived in the district of Jalandhar in Punjab, 50 Punjabi women lived in as migrants in Vienna Austria. Data collection comprised an anthropometric analysis including stature height, body weight and the body mass index (BMI). For classification of the weight status the Indian BMI cutoffs defined by the WHO for Asian Indians were used. Data concerning dietary patterns and lifestyle parameters were collected by structured interviews using a standardized questionnaire. Among both subgroups overweight and obesity were highly prevalent. Underweight (18.5%) was significantly more prevalent in Punjab than in Vienna (6.0 %), while overweight and obesity were more frequently found among Punjabi women in Vienna (26.0%; 54.0%) than among Punjabi women in India (9.2%; 24.6 %). Analysing lifestyle and dietary patterns it turned out that energy dense meals were preferred and fat and sugar were used frequently among both subsamples. A statistically significant relationship between dietary habits and weight status could not be proved.     

Inter-relationships of income, chronic energy deficiency, morbidity and hospitalization among adult male slum dwellers of Midnapore, West Bengal, India

A cross-sectional study of 212 adult (>18 years) male slum dwellers (mean age=34.6+/-14.4 years) of Midnapore town, West Bengal, India, was undertaken to study the inter-relationships of chronic energy deficiency (CED), monthly family income (MFI), self-reported morbidity and hospitalization due to severe illness. The mean height, weight and body mass index (BMI) of the subjects were 160.0 cm, 50.8 kg and 19.9 kg/m2, respectively. The overall frequencies of CED (BMI<18.5 kg/m2), morbidity and hospitalization were 38.2%, 34.4% and 13.7%, respectively. Based on the WHO classification, the prevalence of CED among this population was high (20-39%), indicating a serious situation. Overall, MFI was significantly (p<0.01) positively correlated with BMI (r=0.21). Linear regression analyses showed that MFI had a significant impact (t=3.08; p<0.002) on BMI. Overall, MFI explained 3.9% variation in BMI. Subjects belonging to the lowest family income group (FIG I) had the lowest mean BMI (19.1 kg/m2) and the highest rate of CED (46.3%) and morbidity (36.6%). Those in the highest family income group (FIG III) had the largest mean BMI (20.8 kg/m2) and lowest rate of CED (30.2%) and morbidity (30.2%). The highest rate (18.9%) of hospitalization was found in this group. There were significant family income group differences in mean BMI (F=3.134, p<0.05). The frequency of morbidity (24.6%) and hospitalization (11.9%) was lowest among normal BMI individuals. Morbidity was significantly higher (chi2=11.92, p=0.0026) among CED (48.2%) subjects compared with normal BMI individuals (OR=2.85; CI=1.49-5.46). Similarly, compared with normal BMI subjects, morbidity was higher (38.5%; OR=1.92; 95% CI=0.50-7.18) among overweight subjects. Hospitalization was more common among CED subjects (16.1%; OR=1.42; CI=0.58-3.45) compared with normal BMI subjects. Similarly, the frequency of hospitalization was more among overweight individuals (15.4%; OR=1.35; 95% CI=0.0-7.59). In conclusion, this study provides evidence that the frequency of CED among this population is high, indicating a serious situation. Moreover there exists strong inter-relationships between BMI, CED, MFI and morbidity.     

Traditional occupations and nutritional adaptation among Central Indian caste populations

The socioeconomic milieu has benefits and drawbacks for determining level of nutrition. The Indian population provides an excellent example of nutrition-driven adaptation. The present paper deals with the relationship between BMI (body mass index) and traditional occupation and process of adaptation among adult males of Central India. Anthropometric data collected by the Anthropological Survey of India on stature, sitting height and weight of 6663 adult males belonging to 22 castes were used for computation of BMI and Cormic index. The caste groups earning their living as labourers are found to be shortest (157.4+/-6.5 cm), and the caste group practising priesthood are tallest (168.6+/-6.6 cm). The prevalence of chronic energy deficiency is found to be highest (72%) among castes earning their living as daily wage labourers. The ANOVA on Cormic index and BMI suggests that people within the same occupational group are more homogeneous than those from different occupational groups. The t test also supports the homogeneity of the same occupational group.     

Body Mass Index and Chronic Energy Deficiency Among Urban Bengalee Male Slum Dwellers of Kolkata, India: Relationship with Family Income

A cross-sectional study of 191 adult (>18 years) Bengalee male slum dwellers of Kolkata, India, was undertaken to study the relationships of family income with body mass index (BMI) and chronic energy deficiency (CED). Results revealed that the mean height, weight, and BMI of the subjects were 162.2 cm, 54.0 kg, and 20.5 kg/m², respectively. The overall frequency of CED (BMI < 18.5 kg/m²) was 33.5%. Based on the World Health Organization classification, the prevalence of CED among this population was high (20–39%) and thus the situation is serious. Overall, monthly family income (MFI) was significantly positively correlated (r = 0.18, p < 0.05) with BMI. Linear regression analyses showed that MFI had significant impact (p < 0.05) on BMI. The percent variation in BMI explained by MFI was 2.6%. Subjects belonging to the lowest family income group (FIG) had the lowest mean BMI (19.5 kg/m²) and the highest rate of CED (46.6%) while those in the highest FIG had the largest mean BMI (21.4 kg/m²) and lowest rate of CED (23.1%). There was a significant FIG difference (F = 2.965, p < 0.05) in mean BMI. Moreover, there existed FIG differences (χ ² = 7.54, p < 0.06) in CED rates. In conclusion, this study provided strong evidence that FIG was significantly associated with BMI and the presence of CED. The rate of CED was high, indicating a serious situation. These findings may have severe public health implications. It is recommended that immediate nutritional intervention programs be initiated among this population along with serious efforts to increase their family income.     

Chronic energy deficiency in some low socio-economic populations from South India: Relationships between body mass index, waist–hip ratio and conicity index

This paper reports the prevalence of chronic energy deficiency (CED) based on body mass index (BMI) and its relation to other adiposity measures namely, waist-hip ratio (WHR) and conicity index (CI) in some low socio-economic groups from South India. Two ethnic groups from each area type, namely, tribal, rural and urban areas, are included and samples of 646 men and 670 women belonging to six groups are selected on a multistage basis. Based on the measurements, BMI, WHR and CI are calculated. A considerable proportion of populations studied here experience CED. A higher proportion of women than men show CED. The BMI and WHR are slightly higher among men and WHR exhibits significant intersex difference. The CI is in expected ranges and all ethnic groups differ from each other in all measurements and indices. Age is strongly correlated with WHR and CI, but not with BMI. Both WHR and CI are influenced by BMI. BMI and sex are found to be significant contributors to the variation in WHR, and ethnicity also added to the variation in CI. The present study also concludes that adult malnutrition (as indicated by BMI) is spread to a considerable extent in these populations of low socio-economic status. It appears that the ethnic differences occurring in several measurements/indices reflect the economic and social conditions.     

Comparison of BMI and percentage of body fat of Indian and German children and adolescents

Today, serious health problems as overweight and obesity are not just constricted to the developed world, but also increase in the developing countries (Prentice 2006, Ramachandram et al. 2002). Focusing on this issue, BMI and percentage of body fat were compared in 2094 schoolchildren from two cross-sectional studies from India and Germany investigated in 2008 and 2009. The German children are in all age groups significantly taller, whereas the Indian children show higher values in BMI (e.g. 12 years: Indian: around 22 kg/m2; German: around 19 kg/m2) and in the percentage of body fat (e.g. 12 years: Indian: around 27%; German: around 18-20%) in most of the investigated age groups. The Indian children have significantly higher BMI between 10 and 13 (boys) respectively 14 years (girls). Indian children showed significant higher percentage of body fat between 10 and 15 years (boys) and between 8 and 16 years (girls). The difference in overweight between Indian and German children was strongest at 11 (boys) and 12 (girls) years: 70% of the Indian but 20% of the German children were classified as overweight. In countries such as India that undergo nutritional transition, a rapid increase in obesity and overweight is observed. In contrast to the industrialized countries, the risk of overweight in developing countries is associated with high socioeconomic status. Other reasons of the rapid increase of overweight in the developing countries caused by different environmental or genetic factors are discussed.     

Socioeconomic inequality and obesity prevalence trends in luxembourg, 1995¿2007

ABSTRACT: BACKGROUND: Overweight and obesity are becoming increasingly critical problems in most developed countries. Approximately 20% of adults in most European countries are obese. This study examines the prevalence of overweight and obesity in Luxembourg and their association with different demographic, socioeconomic (SES), and behavioural factors. METHODS: The data used in this study were taken from 2 surveys on household income and living conditions conducted in 1995 and 2007. The target population was household residents aged 16 years and older, and body mass index (BMI) data were self-reported. Average BMI, overweight, and obesity prevalence rates were calculated according to each demographic (gender, nationality, marital status), SES (educational level, profession, and place of residence), and behavioural (physical activity and diet) factors. A multivariate logistic regression analysis was conducted to measure the relationship between obesity and demographic, SES, and behavioural factors. All analyses were conducted according to gender, and data used were weighted. RESULTS: Between 1995 and 2007, the average BMI remained nearly constant among men and women in the entire study population. Obesity prevalence increased by 24.5% through the study period (14.3% in 1995 to 17.8% in 2007). Obesity prevalence increased by 18.5% for men (15.1% in 1995 to 17.9% in 2007) and by 30% for women (13.6% in 1995 to 17.7% in 2007). Between 1995 and 2007, obesity increased sharply by 48.2% (from 11% to 16.3%) in Portuguese men, 76.7% (from 13.3% to 23.5%) in Portuguese women, 79.7% (from 17.2% to 30.9%) in widowed men, and 84.3% (from 12.1% to 22.3%) in divorced women. Multivariate logistic regression analysis showed that the relationship between the educational level and obesity was not statistically significant for men, but was significant for women. CONCLUSIONS: The prevalence of overweight and obesity is high in Luxembourg and has changed slightly in recent years. SES inequalities in obesity exist and are most compelling among women. The fight against obesity should focus on education, with emphasis on the socially disadvantaged segment of the population.     

Association between Farming and Chronic Energy Deficiency in Rural South India

Objective

To examine factors associated with chronic energy deficiency (CED) and anaemia in disadvantaged Indian adults who are mostly involved in subsistence farming.

Design

A cross-sectional study in which we collected information on socio-demographic factors, physical activity, anthropometry, blood haemoglobin concentration, and daily household food intake. These data were used to calculate body mass index (BMI), basal metabolic rate (BMR), daily energy expenditure, and energy and nutrient intake. Multivariable backward stepwise logistic regression was used to assess socioeconomic and lifestyle factors associated with CED (defined as BMI<18 kg/m²) and anaemia.

Setting

The study was conducted in 12 villages, in the Rishi Valley, Andhra Pradesh, India.

Subjects

Individuals aged 18 years and above, residing in the 12 villages, were eligible to participate.

Results

Data were available for 1178 individuals (45% male, median age 36 years (inter quartile range (IQR 27–50)). The prevalence of CED (38%) and anaemia (25%) was high. Farming was associated with CED in women (2.20, 95% CI: 1.39–3.49) and men (1.71, 95% CI: (1.06–2.74). Low income was also significantly associated with CED, while not completing high school was positively associated with anaemia. Median iron intake was high: 35.7 mg/day (IQR 26–46) in women and 43.4 mg/day (IQR 34–55) in men.

Conclusions

Farming is an important risk factor associated with CED in this rural Indian population and low dietary iron is not the main cause of anaemia. Better farming practice may help to reduce CED in this population.     

Body mass index in Central India: inter district variation

Basic causes of poor state of nutrition and infections in developing countries are poverty, low level of hygienic conditions and little access to preventive and health care. Central India is known for its high rate of population growth and mortality, which persisted over time along with a low level of social, economic and infrastructure development. In the present study the body mass index (BMI) of 31 populations residing in 38 districts of Central India (comprising the States of Madhya Pradesh and Chhattisgarh) is assessed. Anthropometric data collected by the Anthropological Survey of India were utilized in this context. The mean body mass index values of the populations of total backward and non-backward districts are found to be lower than that of well-to-do individuals of India (Bharati 1989, Khongsdier 1997, Reddy 1998), but it is not as low as that found among the South Indian populations (Ferro-Luzzi et al. 1992). In the present investigation, it is also found that the majority of the backward districts fall in the category of different grade of chronic energy deficiency (CED), while in the non-backward districts a considerably less number of districts follows this trend. A better level of the nutritional status among the populations of the non-backward districts corroborates the findings of the Ministry of Health and Family Welfare (NFHS 1992). It reveals that the apparently healthy individuals with CED grade I in the present study may be thin but physically active and healthy. The present study, however, narrates further intensive investigations in these populations, because the BMI as a measure of the CED should incorporate the aspects like morbidity and health status of a population.     

Determinants of nutritional status of pre-school children in India

The aim of this paper is to assess the spatial distribution of nutritional status of children of less than three years through Z-scores of weight-for-age, height-for-age and weight-for-height using data collected by the National Family Health Survey (NFHS-2, 1998-99), India. The nutritional status of pre-school children was regressed on different socio-demographic factors after eliminating the effect of age. The data show that there are gender differences and spatial variations in the nutritional status of children in India. Gender difference is not very pronounced and almost disappears when the effects of age and socio-demographic variables are removed. The spatial difference, especially the rural-urban difference, was found to be very large and decreased substantially when the effects of age and socioeconomic variables were removed. However, the differences were not close to zero. All the variables were found to affect significantly the nutritional status of children. However, the literacy of mothers did not affect height-for-age significantly. The weight-for-age and height-for-age scores showed a dismal picture of the health condition of children in almost all states in India. The worst affected states are Bihar, Madhya Pradesh, Orissa and Uttar Pradesh. Assam and Rajasthans are also lagging behind. Weight-for-height scores do not give a clear picture of state-wise variation. Goa, Kerala and Punjab are the three most developed states in India and also have the lowest percentages of underweight children according to the Z-scores. Along with these three states come the north-eastern states where women are well educated. Thus overall development, enhancement of level of education and low gender inequality are the key factors for improvement in the health status of Indian children.     

Biosocial covariates of adult male body mass index in Central India

Body mass index (BMI) is the 'measuring rod' of nutritional status. This study investigates the type and extent of correlation between adult male BMI and socioeconomic, cultural and bio-demographical variables using data from 11,496 individuals from 38 districts of Central India. For each individual, stature, body weight and sitting height data were collected, their Cormic index and BMI computed, and averages for each district calculated. Mean BMI was found to be lowest for the population of Tikamgarh (17.90+/-1.91 kg m(-2)) and highest for that of Durg district (19.33+/-2.16 kg m(-2)), whereas the mean BMI for the total population of Central India was 18.67+/-2.18 kg m(-2), which is lower than that of well-to-do individuals in India as a whole. The F ratio indicates that there is inter-district variation in anthropometric characteristics of populations. District-wise biosocial indicators were obtained, namely population density per square kilometre, percentage urban population, percentage of population that is of scheduled caste/tribe, sex ratio, average rural population per PHC/CHC (primary or community health centre), literacy rate, life expectancy, total fertility rate, infant mortality rate, gender development index and human development index. Most of these variables were found to be significantly correlated with each other, but BMI was only significantly correlated with three of them, viz. gender development index (R2=0.211), life expectancy (R2=0.130) and infant mortality rate (R2=0.128). Gender development index and life expectancy were positively correlated with BMI, whereas infant mortality rate was negatively correlated. It is concluded that if BMI increases then life expectancy will also increase. Thus better nutritional status may be a helpful tool for reducing infant mortality rate, which is an indicator of socioeconomic status, health condition, health care and ultimately overall development of a region or population.     

Dramatic Rise in Overweight and Obesity in Adult Filipino Women and Risk of Hypertension

Objective:To assess trends in BMI of adult Filipino women over a 16‐year period of rapid socioeconomic change; to identify factors associated with those trends; and to estimate the risk of hypertension associated with overweight, obesity, and high waist‐to‐hip ratio (WHR). Research Methods and Procedures:Women from randomly selected urban and rural communities of Metro Cebu, Philippines were recruited during a 1983 to 1984 index pregnancy, then followed prospectively for 16 years. Overweight and obesity were defined using BMI cut‐off points of 25 and 30, respectively. The analysis sample included women 15 to 45 years of age when measured 4 months postpartum. Weight change in subsequent intervals from 1985 to 1999 was modeled using linear regression. The relationship of BMI and WHR to risk of hypertension in the last survey was modeled using logistic regression. Results:The prevalence of overweight and obesity combined increased nearly 6‐fold from ～6% in 1983 to 1984 to 35% in 1998 to 1999. Weight gain was positively associated with urban residence, improved socioeconomic status, fewer pregnancies and months of lactation, and more away‐from‐home work hours. Risk of hypertension was independently elevated by high WHR and overweight/obesity. Discussion:The dramatic trend of increasing overweight and obesity in this sample of women represents a serious health concern, especially in light of the strong association of excess weight, particularly in the truncal region, to risk of hypertension.     

Geography of underweight and overweight among women in India: A multilevel analysis of 3204 neighborhoods in 26 states

We investigated the geographic distribution and the relationship with neighborhood wealth of underweight and overweight in India. Using multilevel modeling techniques, we calculated state-specific smoothed shrunken state residuals of overweight and underweight, neighborhood and state variation of nutritional status, and the relationships between neighborhood wealth and nutritional status of 76,681 women living in 3204 neighborhoods in 26 Indian states. We found a substantial variation in overweight and underweight at the neighborhood and state levels, net of what could be attributed to individual-level factors. Neighborhood wealth was associated with increased levels of overweight and decreased levels of underweight, and was found to modify the relationship between personal living standard and nutritional status. These findings suggest that interventions to address the double burden of undernutrition and overnutrition in India must take into account state and neighborhood characteristics in order to be successful.     

Triple Burden of Obesity,Undernutrition, and Cardiovascular Disease Risk among Indian Tribes

Background

Socio-cultural transitions among individuals from vulnerable groups introduce epidemiological transition, with a concomitant increase in the prevalence of undernutrition, obesity, and cardiovascular disease risks. An accepted conventional wisdom exists for Indian tribes that they are undernourished and away from lifestyle-related diseases. However, the extent of this triple burden affecting them is unknown. In this study, we assessed this triple burden among the 9 major tribes of India.

Methods and Findings

During January 2011 to December 2013, we conducted a cross-sectional study among 1066 men and 1090 women constituting a total of 2156 adults belonging to the 9 major tribal groups: Santals, Oraons, and Koras (West Bengal); Santals, Bhumijs, and Bathudis (Odisha); and Dhodias, Kuknas, and Chaudharis (Gujarat) to estimate the prevalence of the triple burden (undernutrition, overweight or obesity, and hypertension). A high prevalence of undernutrition and hypertension was observed among the Koras (51.9%and 10.6%, respectively), Bathudis (51.3% and 12.1%, respectively), and Oraons (49.6% and 16.5%, respectively). However, the prevalence of overweight and hypertension among the Bhumijs (17.7% and 14.7%, respectively), Dhodias (23.8% and 12.9%, respectively), Kuknas (15.8% and 11.3%, respectively), and Santals of West Bengal (12.2% and 11.8%, respectively) and Odisha (15% and 9.6%, respectively) was most alarming. The prevalence of overweight or obesity among the women was 10.9% and 1.5%, respectively, with 14.0% hypertensive women. The prevalence of overweight and obesity among the men was 14.8% and 1.7%, respectively, with 9.2% hypertensive men. Undernutrition was highly prevalent among men and women. However, data from the past 30 years on systolic blood pressure (SBP) and body mass index (BMI) revealed that the studied tribes were at a higher risk than the general Indian population. In addition, a vast gender disparity with relation to the disease and risk prevalence was observed.

Conclusion

The alarming trend of an increasing prevalence of overweight/obesity, undernutrition, and hypertension is observed among indigenous populations of India, emphasizing the incorporation of a specific health management policy.     

Multiple Dimensions of Socioeconomic Position and Obesity among Employees: The Helsinki Health Study

Objective: To examine socioeconomic differences in obesity using several different socioeconomic indicators, ranging from childhood socioeconomic environment and adult socioeconomic status to material resources and economic satisfaction. Research Methods and Procedures: The data derived from the Helsinki Health Study baseline surveys in 2000 and 2001. Respondents to postal surveys were middle‐aged employees of the City of Helsinki (4, 975 women and 1, 252 men, response rate 68%). Associations between eight socioeconomic indicators and obesity (BMI ≥ 30 kg/m²), calculated from self‐reported data, were examined by fitting a series of logistic regression models. Results: In women, all socioeconomic indicators except household income and economic satisfaction were associated with obesity. Parental education and childhood economic difficulties, i.e., socioeconomic conditions in childhood, remained associated with obesity after adjusting for all indicators of current socioeconomic position. Indicators of adult socioeconomic status, own education and occupational class, were no longer associated with obesity when childhood socioeconomic conditions were adjusted for. Home ownership and economic difficulties were associated with obesity after full adjustments. In men, the findings paralleled those among women, but few associations reached statistical significance. Discussion: Obesity was associated with several dimensions of socioeconomic position. Childhood socioeconomic disadvantage was associated with obesity independently of the various indicators of current socioeconomic position. Associations between obesity and both educational level and occupational class disappeared after adjustment for other indicators of socioeconomic position. This suggests that the variation observed in the prevalence of obesity by these key socioeconomic indicators may reflect differences in the related material resources.     

Body mass index,waist circumference and employment: Evidence from older Irish adults

Data from the first wave of the Irish Longitudinal Study on Ageing are used to examine the relationship between fatness and obesity and employment status among older Irish adults. Employment status is regressed on one of the following measures of fatness: BMI and waist circumference entered linearly as continuous variables and obesity as a categorical variable defined using both BMI and waist circumference. Controls for demographic and socioeconomic characteristics, socioeconomic characteristics in childhood and physical, mental and behavioural health are also included. The regression results for women indicate that all measures of fatness are negatively associated with the probability of being employed and that the employment elasticity associated with waist circumference is larger than the elasticity associated with BMI. The results for men indicate that employment is not significantly associated with BMI and waist circumference when these are entered linearly in the regression, but it is significantly and negatively associated with obesity defined either using BMI or waist circumference as categorical variables. The results also indicate that the negative association between obesity and employment status is larger among women. For example, the probability of being employed for the obese category defined using BMI is around 8 percentage points lower for women and 5 percentage points lower for men.     

Prevalence of Overweight and Obesity and Their Associations with Socioeconomic Status in a Rural Han Chinese Adult Population

Background

The purpose of this study is to describe the prevalence of overweight, general obesity, and abdominal obesity and examine their associations with socioeconomic status in a rural Chinese adult population.

Methods

This cross-sectional study was performed on 15,236 participants ≥ 35 years of age (6,313 men [41.4%] and 8,923 women [58.6%]). Each participant’s weight, height, waist circumference (WC), and hipline circumference (HC) were measured, and demographic and socioeconomic data were collected using questionnaires.

Results

The mean body mass index (BMI) values were 23.31 ± 2.96 and 23.89 ± 3.23 kg m^-2 and the mean WC values were 79.13 ± 8.43 and 79.54 ± 8.27 cm for men and women, respectively. The age-standardized prevalence rates of overweight (BMI ≥ 24.0 kg m^-2), general obesity (BMI ≥ 28.0 kg m^-2), and abdominal obesity (WC ≥ 85 cm for men and ≥ 80 cm for women) were 32.0%, 6.7%, and 27.0% for men and 35.1%, 9.7%, and 48.3% for women, respectively. All gender differences were statistically significant (p < 0.001). In addition, the age-specific prevalence rates of general and abdominal obesity slowly decreased among men but sharply increased among women as age increased (p < 0.001). In subsequent logistic regression analysis, educational level was negatively associated with both general obesity and abdominal obesity among women but positively associated with abdominal obesity among men. No significant correlation was found between obesity and income.

Conclusions

These results suggest a high prevalence of obesity which might differ by gender and age, and an inverse association among women and a mixed association among men noted between education and obesity in our locality. Preventive and therapeutic programs are warranted to control this serious public health problem. The gender-specific characteristics of populations at high-risk of developing obesity should be taken into consideration when designing interventional programs.     

Secular trends in prevalence of overweight and obesity from 2006 to 2009 in urban asian Indian adolescents aged 14-17 years

The present study examines the secular trends in prevalence of overweight and obesity among urban Asian Indian adolescents in New Delhi (North India). The data were derived from cross-sectional sampling of children, 3493 in year 2006 and 4908 in year 2009, aged 14-17 years studying in privately-funded and government-funded schools. Age, gender and Asian Indian-specific cut offs of body mass index (BMI) were used to define overweight and obesity. The prevalence of obesity increased significantly from 9.8% in 2006 to 11.7% in 2009 (p<0.01), whereas underweight decreased from 11.3% to 3.9% (p<0.001). There was a significantly higher risk of being overweight (OR 1.28; 95% CI, 1.15-1.42) and obese (OR 1.44; 95% CI, 1.24-1.66) in year 2009 than 2006, after adjusting for age, gender and type of school. Males and privately-funded school children had significantly higher increase in prevalence and risk of being overweight and obese over the three years. In conclusion, this study showed an increasing trend in prevalence of overweight and obesity in urban Asian Indian adolescents. More specifically, the study showed the association of this increasing trend of overweight and obesity prevalence with male gender and high socio-economic status, calling for an urgent need for immediate and targeted preventive measures.     

Socioeconomic status in relation to obesity and abdominal obesity in Korean adults: a focus on sex differences

Objective: We examined the relationship between income and education level with BMI and waist circumference to provide further understanding of the relationship between socioeconomic status and obesity and to identify the presence of sex differences. Research Methods and Procedures: A total of 7962 people ≥20 years of age (3597 men; 4365 women) who participated in the 1998 Korean National Health and Nutrition Examination Survey provided data including height, weight, waist circumference, education, and income level. We examined adjusted BMI and waist circumference according to level of income and education and the association between income and education with obesity and abdominal obesity by multiple logistic regression analysis. Results: In men, significant dose‐response relationships were noted between income and obesity (trend, p < 0.05) and abdominal obesity (trend, p < 0.05). Compared with the lowest income group, the adjusted odds ratios (ORs) (95% confidence interval) of the highest income group for obesity and abdominal obesity were 1.65 (1.18 to 2.32) and 1.37 (0.94 to 1.98), respectively. However, income was not associated with obesity or abdominal obesity in the fully adjusted models in women. With regard to education, women showed significantly decreased ORs, with inverse trends for obesity and abdominal obesity across all education levels. Compared with the lowest education group, the adjusted ORs (95% confidence interval) for obesity and abdominal obesity were 0.66 (0.57 to 0.76) and 0.40 (0.35 to 0.45), respectively, among women with 7 to 12 years of schooling and 0.27 (0.21 to 0.34) and 0.15 (0.12 to 0.18), respectively, among women with 13 or more years of schooling. Discussion: Socioeconomic difference has a considerable impact on the prevalence of obesity among the Korean population, and the patterns differ substantially across sex.