Preliminary data analysis included descriptive statistics, i. J Nutr — Eur J Clin Nutr. Atanga, E. A total of participants were involved in this study, whereby
Minerva Pediatr — James, D.
This could be as a result of the increasing urbanization in this Region. A Tanzanian perspective on the nutrition transition and its implications for health.
In this study, it was noted that the participants with relatively higher average walking distance per day had lower prevalence of abdominal obesity compared to participants with relatively lower average walking distance per day.
Journal of Infection and Public Health 6: — Public Health Nutr 7: — The overall mean age of the study participants was Pedro Pallangyo, Zabella S. Allergy —
Socioeconmoic, due to urbanization, many societies from various areas inside and outside the country are represented in the Region [ 27 ]. Prevalence and odds ratio of abdominal obesity by different selected characteristics of the study population. Henriksen, and N. Section Navigation. Click here to sign up. Table 1 General characteristics of the study population stratified by gender.
Background Obesity is one of the major health concerns worldwide affecting approximately all physiological roles of the body. Academic Editor: Rahman Shiri. Studies have suggested that obesity is greater in the low income population than in higher income individuals 4. A majority of the participants were married Iran J Public Health. Articles from Advances in Medicine are provided here courtesy of Hindawi Limited.
Advances in Medicine
V, own land Radio, Magazine, Telephones. Pangani N. The overall prevalence of abdominal obesity was
Ufban and obesity are major health concerns worldwide, with adverse health consequences during the life span. MJM conceived the idea, designed the study, and refined the methodological approach. The present study faced some limitations. World Health Organisation. Trained village health workers service boards where necessary. Article of the Year Award: Outstanding research contributions ofas selected by our Chief Editors.
There is a need for this information from all areas of the country to help the health sector to equally plan and prioritize health programmes in the community. Hum Biol —
Paediatr Perinat Epidemiol — The main limitation of this study lies in the vast heterogeneity in study methodology.
No date or language limits were set, but due to feasibility, only studies presented in either English or French were included.
Wards were first stratified into two strata rural and urban. Study exclusion criteria All published, peer-reviewed studies were eligible for inclusion; however, in order to obtain information on a general population living under ordinary conditions, intervention programs and studies were excluded unless they conducted baseline assessments.
Other activities include small and medium industries, consultancy and construction work. The study objectives were clearly explained to the participants who gave their informed consent. Glob J Health Sci. The gap between the rich and poor is significant. In the present study, sex made a negative contribution to socioeconomic inequality in overweight among the participants.
Bisiriyu, and O. The emerging epidemic of obesity in developing countries. Such discrepancy could partly be explained by the variation in the assessment tools used to assess for physical activity among studies, however, based on the observed obesity rates such rates are likely to be a true reflection. Ann Hum Biol —
The regions are further divided into districts. Mosha T. Overstocking of livestock 2. Significantly more men
According to og findings, SES, region of residence, physical activity, cigarette smoking, and hookah smoking only for obesity were the main positive contributors to socioeconomic-related inequality in overweight and obesity. Overall, our findings suggest that the burden of overweight and obesity be disproportionately borne by individuals with higher SES. Leyna, J. Men were significantly older than women
Ali Akbar Haghdoost, Email: ri. The measurements were done in triplicates, and the average was used to represent the WC of an individual. One of the major effects is reduced workforce and increase on dependence ratio burden. Mohammadi MS, F. Results Prevalence of overweight and obesity Table 1 reports the crude prevalence, age-and sex-standardized prevalence and adjusted OR for outcome variables by characteristics of participants. World Health Organization.
Advances in Medicine
Globally, there has been an increased intake of energy-dense foods that are high in fat and increase in physical inactivity due to the increasingly sedentary nature of many forms, such as spending much time on TV, changing modes of transportation, the increasing urbanization, and so on [ 11 ]. South African Journal of Science 4—6. Blood Coagul Fibrinolysis — In the Dodoma Region, the number of commuter buses had increased by
As per the statistics, the city of Dar es Salaam dodoma urban socioeconomic profile of obesity a population of 6, [ obrsity ]. Methodology 2. Participants came from all over Dar es Salaam to the trade fair grounds for various shopping activities. In view of this, community-based and multilevel public health strategies to promote and maintain healthy eating and physical activity require an urgent step-up in urban Tanzania. Public Health Nutr 7: — Niger J Med —
MJM conceived the idea, designed the study, and refined the methodological approach.
It is kms to Dar es Salaam and kms to Arusha.
More worryingly though is the rapid transformation, escalation and adoption of the unhealthy lifestyle habits observed in this present study compared to studies conducted in the same setting some years ago. Lancet Diabetes Endocrinol.
Dimbuene, B. Global nutrition dynamics: the world is shifting rapidly toward a diet linked with noncommunicable diseases.
Nutrition 4— Crit Rev Food Sci Nutr. Ziraba, J. Underweight, normal, overweight and obese categorization followed the standard BMI cut-off values i.
Zheleznyakov, S. Thornton SN. BMJ — Studies done on children with chronic conditions were excluded. Physiological differences between male and female sex [ 31 ], types of daily activities, and cultural issues among sex could be among the possible explanation for this result [ 32 ]. Kandala and S. Amidst the ever present undernutrition in SSA, a significant proportion of participants had excess body weight.
In other socioecono,ic, individuals with higher SES might prefer to spend more time at home and have less physically activity compared to their peers in other provinces. NHANES is a cross-sectional survey designed to monitor the health and nutritional status of the civilian, noninstitutionalized U. All authors read and approved the final manuscript. Anicet Benard. With respect to watching television, the results show that the participants who spent some time watching television were more likely to have abdominal obesity than those who never watch television.
Skip to main content. Furthermore, in many Sub Saharan Africa SSA countries, an increased level of chanteur haitien obese fat is associated with beauty, prosperity, health, and prestige, while in contrast, thinness is perceived to be a sign of ill health or poverty . Ann Hum Biol 79— As such, we attempted to standardize the crude rates by acknowledging and adjusting with respect to the sample sizes in each of the included studies, and indicating graphically the sample size upon which a particular data point was based. Villamor, G. Permission to conduct the study at each site was obtained from the regional, district, and ward authorities, respectively.
Results 3. Mahmood Moosazadeh, Email: moc. Limitations The present study faced some limitations. Potential Tax payers their children to school especially 4. On the other hand, the number of meals taken per day was not a significant correlate of abdominal obesity among this study population. Public-use data files are released in 2-year cycles.
Dodoma urban socioeconomic profile of obesity JA, Adejuyigbe O Fat mass, fat mass percentage, body mass index, and mid-upper arm circumference in a healthy population of Nigerian children. Minerva Pediatr — BoxDodoma, Tanzania. Results Figure 1 shows the PRISMA flow chart with numbers of included and excluded articles at each step of the review process, while table 3 provides a summary of all studies that met the inclusion criteria.
The overall prevalence of abdominal obesity was Alireza Vakilian, Email: moc.
Methods Study inclusion criteria Studies were included if they reported using either subjective e. The number of people living in urban areas was
Leyna, J. Conference Publication:
Khirollahi MSs. It is well known that Solid Waste Management is part and parcel of environment hygiene, which needs to be integrated with total environmental planning. Prevalence and awareness of obesity among people of different age groups in educational institutions in Morogoro, Tanzania. Unwin, and J. The incidence and prevalence of obesity and overweight in adults during to in Bushehr Province- the Persian Gulf healthy heart study. Measuring and decomposing socioeconomic inequalities in adult obesity in Western Iran. McLaren L.
Marriage and health: his and hers. Prevalence of overweight and obesity among children aged years in Dodoma and Kinondoni Municipalities, Tanzania. Ramin Niknam, Email: moc. Prevalence of overweight and obesity and their association with hypertension and diabetes mellitus in an Indo-Asian population. AHM did the data collection and data analysis, prepared the results section, and revised the manuscript critically.
In boys, the prevalence of urbzn obesity increased significantly between and in households at all education levels. Accordingly, the main aim of the present study was to measure socioeconomic inequalities in overweight and obesity and then to identify the major contributors to the measured inequality in the outcome variables. PLoS One. A systematic review.
In addition, only studies of populations profioe SSA countries were included. Similar to the previous studies [ 46 ], the present study found that, watching television was associated with abdominal obesity. Griffin L, Fast M A preliminary study on poly-parasitism and the size of primary school children in Kenya. The strengths of our study include a sufficiently large sample to estimate the prevalence of obesity and to explore subgroup i. Accessed 19 September
Allergy — J Trop Pediatr 52— Springer Nature remains neutral with regard to dodoma urban socioeconomic profile of obesity claims in published maps and institutional affiliations. The findings from the previous studies show that the prevalence of overweight and obesity had increased significantly since the s, and the trend shows the prevalence has been doubling after every decade since the s [ 612152022 ]. Prevalence and odds ratio of abdominal obesity by different selected characteristics of the study population. Notwithstanding the ever present under-nutrition burden, sub Saharan Africa SSA is witnessing a drastic escalation of overweight and obesity.
Notwithstanding the ever present under-nutrition burden, sub Saharan Africa SSA is witnessing a drastic escalation of overweight and obesity. Huxley, S. Reprints and Permissions. Geneva, Switzerland.
It should be noted that marital status made a positive contribution to socioeconomic inequality in overweight and obesity as well. J Obes. Ngwira, T. Obesity facts. A total of participants were involved in this study, whereby Global Health: Science and Practice.
There are socioecobomic rivers, deep and shallow wells including dams in few villages. Study Design and Study Population This dodoma urban socioeconomic profile of obesity is a quantitative cross-sectional survey. Sampling and Sampling Procedures A multistage sampling technique was used to get a sample of people. Health Policy Plan. In Tanzania, the prevalence of overweight and obesity have been reported higher, particularly in urban areas of the country [ 14 — 22 ].
Marriage and health: his and hers. Methodology 2. Anicet Benard.
Conference Publication: S A total of records were identified through database searches and other sources. Killewo, A. Furthermore, we used rigorous and standardized protocols for data collection and utilized qualified and competent personnel in all measurements. Rev Mal Respir —
Results A total of articles met the inclusion criteria, and of these, 68 were used for quantitative synthesis. Adebayo, M. J Trop Med Hyg 2—8. The profile proifle of abdominal obesity was Systematic review and meta-analysis of the effect of increased vegetable and fruit consumption on body weight and energy intake. Discussion Worldwide, the epidemiological and demographic transitions have resulted in nutrition shift characterized by an increased consumption of sugar-sweetened beverages and energy-dense fast food products [ 12348111315 ].
Iranian Journal of Endocrinology and Metabolism. Adv Med. Decomposition of socioeconomic inequality in overweight and obesity Turning to the contribution results reported in Table 2it is evident that the SES factor explained BoxDodoma, Tanzania.
Yahya Pasdar, Email: ri. The proportion of study population who report to be smoking were Physical activity level had a positive influence on the overall inequality, and it explained 9. Hassapidou, K. Ziraba A.
The fundamental cause of overweight and obesity socioeconomic profile the energy imbalance between calories consumed and calories expended urba 10 ]. Sample weights, which account for the differential probabilities of selection, nonresponse, and noncoverage, were incorporated into the estimation process. Among non-Hispanic white and black girls, the prevalence of obesity is significantly lower in households headed by individuals with a college degree than in households headed by individuals with less than a high school degree Figure 3. Goodarzi MO.
Socioeconomic factors and obesity. Clin Cardiol. Over the past years, overweight and obesity were considered the problem of the high-income countries; however, for the last three decades, the number of people with obesity and obesity had risen significantly in the low- and middle-income countries LMICand particularly in the urban settings [ 12 ]. Body image, perceived physical fitness, physical activity, body mass index and age in women. Seyed Mohammad Hashemi-Shahri, Email: ri. However, in this study, employment was found to be a risk factor for abdominal obesity only during univariate analysis. Azadbakht M, Shiva A.
Nutr J Dietary behaviour of learners from disadvantaged schools in socioeconmic Western Cape, Obesity Africa. Participants who consume fast food for 3 or more days in a week displayed an 11 times chance of being overweight or obese compared to their counterparts who seldom consumes fast food. Econ Hum Biol 1: — As per the statistics, the city of Dar es Salaam had a population of 6, [ 19 ].
Blood Coagul Fibrinolysis — Females consistently displayed higher rates of overweight and obesity compared to males Conference Publication: AB
Body composition measures Of the included studies, 88 J Phys Act Health 8: — Ann Fam Med. Public Health Nutr — View Article Google Scholar. Crit Rev Food Sci Nutr. World Health Organization Global database on child growth and malnutrition.
The relationship between obesity and income in men varies by race and ethnicity. Prevalence and odds ratio profil abdominal obesity by different selected characteristics of the study population. Prevalence of overweight and obesity among primary school children aged 8—13 Years in Dar es Salaam city, Tanzania. However, there are 52 Dispensaries, 36 owned by the government, 6 belong to religious institutions, 2 are owned by government institutions and 8 are private owned.
J Bone Miner Res — Hemed, Happiness J. View Article Google Scholar 4. Quantitative synthesis was limited to those using the more widely accepted cut-points to further categorise study samples by weight status.
South African Medical Journal. Data were processed anonymously and confidentially. Forth, regarding that the information on drug abuse, alcohol consumption and hookah smoking were measured by a self-report questionnaire, probability of social desirability bias in our reported measures may be unavoidable. Availability of arable and fertile land Lack of interest by parents to send 3.
Med J Zambia 30— Ann Agric Environ Med — Adv Prev Med. Google Scholar 3.
Household dependency ratio and adolescent nutritional status in rural and urban Ethiopia. Bartrina et al. The new curves filled the gap in growth curves and provided an appropriate reference for the 5 to 19 years age group . Furthermore, the nature of the study area inevitably limited participation of some population groups i. The possible explanation for this could be reduced basal metabolism and reduced physical activities due to age. Additionally, owing to the less comprehensive dietary intake data, our association results should be interpreted with some caution. Annu Rev Anthropol.
Dietary diversity and its related factors among adolescents: didoma survey in Ahvaz-Iran. Adam, and B. Grants and subsidy from the Central 4. Socioeconomic profile is in agreement with the previous studies [ 12443 — 45 ]. Related Sites. Muthuri, and A. Another limitation of the previous studies conducted in Tanzania is that they had much of their focus on generalized obesity [ 14 — 22 ].
The findings were also similar when boys and girls were assessed separately. Methods Study inclusion criteria Studies were included if they reported using either subjective urbaj. Likewise, mushrooming of franchised fast food particularly in the developing world is concomitantly fuelling the obesity epidemic [ 58596061 ]. Click through the PLOS taxonomy to find articles in your field. Similar to the previous findings [ 472033 — 37 ], our study found a higher prevalence of abdominal obesity in urban population than in the rural counterpart.
Med J Zambia 87— Am J Public Health —
Kuntz B, Lampert T. Poverty income ratio PIR : The ratio of household income to the poverty threshold after accounting for inflation and family size.
Ann Fam Med. Study Design and Study Population This study is a quantitative cross-sectional survey.
There are seasonal rivers, deep and shallow wells including dams in few villages.
Curr Obes Rep. Of the 96 studies  —  — dodoma urban —  —  —  —  —  —  —  —  —  that reported their data by sex, 31 articles  reported that girls had higher body composition measures than boys, while 5 articles  reported that boys had higher body composition measures than girls. Similar to the previous studies [ 46 ], the present study found that, watching television was associated with abdominal obesity. Why are primary school children overweight and obese? Hypertension prevalence and care in an urban and rural area of Tanzania. Then, from each stratum, the representative wards were selected using simple random sampling methods. SAMJ, S —
This is in agreement with the previous studies [ 12443 — 45 ]. Waist circumference was measured using the guideline of the WHO protocol of measuring waist and hip circumference.
With respect to watching television, the results show that the participants who spent some time watching television were more likely to have abdominal obesity than those who never watch television. A total of participants were involved in this study, whereby
BMC Public Health. Garnier D, Simondon KB, Hoarau T, Benefice E Impact of the health and living conditions of migrant and non-migrant Senegalese adolescent girls on their nutritional status and growth.
J Obstet Gynaecol — Obesity, cigarette smoking, and telomere length in women.
Globally, there has been an increased intake of energy-dense foods that are high in fat and increase in physical inactivity due to the increasingly sedentary nature of many forms, such as spending much time on TV, changing modes of transportation, the increasing urbanization, and so on [ 11 ].
Due to limitations in study design, questions selected from the Downs and Black quality assessment instrument excluded any questions that referred to intervention and trial study methodology. Muhihi, M. Walker, F. View Article Google Scholar
The mean age was Physical activity as a vital sign: a systematic review. Hemed, Happiness J. Papadopoulou, G. Ann Hum Biol 73— Muhihi, A.
Glob Health Action. The strengths of our study include a sufficiently large sample to estimate the prevalence of obesity and to explore subgroup i. In just over 3 decades, overweight and obesity burden has nearly tripled to currently affecting over a third of the global population [ 1 ].
J Trop Med Hyg 2—8. The relationship between vegetable intake and weight outcomes: a systematic review of cohort studies. Ogunranti JO The mid-arm circumference in healthy eastern Nigerian children. Download other formats More.
The odds of having abdominal obesity were significantly higher among participants who walk less than 0. Mosha T. Adebayo R. There is a need for this information from all areas of the country to help the health sector to equally plan and prioritize health programmes in the community. Over the past years, overweight and obesity were considered the problem of the high-income countries; however, for the last three decades, the number of people with overweight and obesity had risen significantly in the low- and middle-income countries LMICand particularly in the urban settings [ 12 ]. European Journal of Clinical Nutrition.
The general characteristics of the study population stratified by gender are illustrated in Table 1. Published 17 Oct Kivuyo, L. Table 3 The cohort population in the study provinces. Kamadjeu, R.
A majority of the participants were married Body composition measures were urbzn to be higher in girls than boys, and higher in urban living and higher socioeconomic status children compared to rural populations or those of lower socioeconomic status. In this study, the risk of abdominal obesity is observed to be increased significantly with age. South African Journal of Clinical Nutrition 99— As shown in table 3which includes a summary of the studies included in the review, the four regions of SSA were well represented, with 91 Revised 30 Aug Table 1.
Bisiriyu, and O. Glaesmer, J. Muhihi et al. Tropical Medicine and Socuoeconomic Health — Underweight, normal, overweight and obese categorization followed the standard BMI cut-off values i. With respect to watching television, the results show that the participants who spent some time watching television were more likely to have abdominal obesity than those who never watch television. Only 11 3.
Associated Data Data Availability Ot The data used to support the findings of this study are available from the corresponding author upon request. Mahmood Moosazadeh, Email: moc. PLoS One. Consistent with the previous studies [ 14142030 ], this study found that women were more likely to have central obesity than males.
Mandate to employ, develop, promote, coordinators. Springer Nature remains neutral with profile obesity to jurisdictional claims in published maps and institutional affiliations. Increased age, urban residence, more time spent on television, less walking per day, and being ever married were all associated with having abdominal obesity in this population. The measurements were done in triplicates, and the average was used to represent the WC of an individual. Anthropometry measures and prevalence of obesity in the urban adult population of Cameroon: an update from the Cameroon Burden of Diabetes Baseline Survey. In — more than one-third of United States adults were obese 1. Dodoma Municipal Council does not Communication Network eg.
Afr J Med Med Sci — Delavari, F. Annu Rev Anthropol. Associations of breakfast skipping with obesity and health-related quality of life: evidence from a national survey in Taiwan. Sex differences in obesity rates in poor countries: evidence from South Africa. Participants with excess body weight displayed a higher likelihood of having both an elevated blood pressure
J Biosoc Sci — We would however like to caution the reader that describing an underweight trend was not an objective of this systematic review; as such, pertinent articles reporting on underweight may have been omitted during the literature search thereby skewing these results. World Health Organization Global database on child growth and malnutrition.
Height and weight measurements were taken from consented participants to calculate body mass index BMI. Cite this article Pallangyo, P. Med Sci Sports Exerc — Ulijaszek SJ, Lofink H. Food Nutr Bull — ISRN Obes.
All material appearing in this report is in the public domain and may be reproduced or copied without permission; citation as to source, however, is appreciated. This study found a high prevalence of abdominal obesity among adults aged 18 years and above who are currently living in the Dodoma Region. In this study, it was noted that being ever married was a risk factor of having abdominal obesity. The time spent on watching television was also significantly associated with abdominal obesity whereby the odds of having abdominal obesity were higher among those who spent some time watching TV than those who never watch television.
Study exclusion criteria All published, peer-reviewed studies were fodoma for inclusion; however, in order to obtain information on a general population living under ordinary conditions, intervention programs and studies were excluded unless they conducted baseline assessments. BMC Public Health 8: World Health Organization Global health risks: mortality and burden of disease attributable to selected major risks. Physical inactivity is among the primary contributors to the obesity epidemic all over the globe.
Njelekela, M. Hemed 1Happiness J.
For example, the findings of Azadbakht et al.
Sodiq, K. Ogunranti JO Weight of contemporary Nigerian growing children in clinical anthropology.
A study of south-eastern Nigerian adolescent girls. Ann Hum Biol 6: —
Also, drug abuse was defined as lifetime use of any kinds of illicit drugs e.
Studies done on children with chronic conditions were excluded. East Afr Med J — J Sports Med Phys Fitness 7: — This study revealed a high prevalence of abdominal obesity among people living in the Dodoma Region. For instance, the prevalence of abdominal obesity among the participants who walked less than 0. Prista A, Maia JA, Damasceno A, Beunen G Anthropometric indicators of nutritional status: implications for fitness, activity, and health in school-age children and adolescents from Maputo, Mozambique.
MJM conceived the idea, socioecojomic the study, and refined the methodological approach. With respect to the education level, the prevalence of obesity was higher among those with secondary or higher education Mosha and S. Given that obesity derived from a combination of causes and contributing factors, we are not able to have a casual inference in obesity. Genetics of obesity: what genetic association studies have taught us about the biology of obesity and its complications. Being a Capital City 2. The odds of having abdominal obesity were higher among adults who aged 31 years and above as than those aged below 31 years.
Ann Trop Paediatr 55— Worldwide, the epidemiological and demographic transitions have resulted in nutrition shift characterized by an increased consumption of high energy fast food products.
In fact, among non-Hispanic white, non-Hispanic black, and Mexican-American women, the prevalence of obesity among those with a college degree is significantly lower than among women with some college Figure 3. Diabetes in Sub Saharan Africa epidemiology and public health implications.
In this study, the risk of abdominal obesity is observed to be increased significantly with age. BMC Public Health.
Urassa et al.
Waist circumference was measured using the guideline of the WHO protocol of measuring kf and hip circumference. Front Endocrinol Lausanne. While the health benefits of maintaining healthy body weights and an active lifestyle are well established consumption of calorie-dense foods, declines in habitual physical activity, and increases in sedentary behaviour have been on the rise across developing nations . Bovet P, Auguste R, Burdette H Strong inverse association between physical fitness and overweight in adolescents: a large school-based survey.
Nevertheless, it remains the most frequently used measure in epidemiologic studies. Article of the Year Award: Outstanding research contributions ofas selected by our Chief Editors. Article Google Scholar 9. Msamanga, W. J Health Psychol. Likewise, mushrooming of franchised fast food particularly in the developing world is concomitantly fuelling the obesity epidemic [ 58596061 ]. This growing population health threat has garnered much attention in view of the declaration and global campaign on the prevention and control of NCDs signed by the United Nations in .