Predict your next investment

Petra company logo
ELECTRONICS | Electrical Product Distribution
petra.com

See what CB Insights has to offer

About Petra

Petra is a wholesale distributor of electronic parts and electronic communications equipment. It is based in Edmond, Oklahoma.

Petra Headquarter Location

2101 S Kelly

Edmond, Oklahoma, 73013,

United States

Latest Petra News

The Prevalence of Overweight and Obesity Among Women in Jordan: A Risk Factor for Developing Chronic Diseases

Jun 22, 2021

Mona Bustami,1 Khalid Z Matalka,2 Eyad Mallah,3 Luay Abu-Qatouseh,1 Wael Abu Dayyih,3 Nour Hussein,4 Nayef Abu Safieh,4 Yousef Elyyan,5 Nagham Hussein,6 Tawfiq Arafat7 1Department of Pharmacology and Biomedical Sciences, University of Petra, Amman, 11196, Jordan; 2Faculty of Health Sciences, American University of Madaba, Madaba, Jordan; 3Department of Pharmaceutical Medicinal Chemistry and Pharmacognosy, Faculty of Pharmacy & Medical Sciences, University of Petra, Amman, 11196, Jordan; 4School of Medicine, University of Jordan, Amman, Jordan; 5Obstetrics and Gynecology, Jordan University Hospital, Amman, Jordan; 6Istishari Hospital, Amman, Jordan; 7Jordan Center for Pharmaceutical Research, Amman, Jordan Objective: The study aimed to investigate the prevalence of obesity among Jordanian women and its association with a wide range of chronic diseases. Methods: Subjects were enrolled in the present cross-sectional study based on a random drop-off technique at the Obstetrics and Gynecology clinics at Jordan University Hospital. Initially, any female 18 years of age and older was asked to enroll in the study. Relevant data were gathered using a questionnaire composed of 30 questions, and body mass index (BMI) was determined from each participant’s weight and height. The following variables were collected: socio-demographic, chronic diseases, and health status. Each variable’s frequencies were reported, and the 95% confidence interval (95% CI) for each variable was calculated. For association analysis, Chi-square analysis was performed with an odds ratio (OR) and 95% CI. Multinomial logistic regression analysis was applied to a combination of independent variables and a dependent condition with covariate factors. Results: The age-standardized prevalence of overweight/obese Jordanian women was 70.6% (95% CI 66.0– 74.8%). On the other hand, the age-standardized prevalence of only obese women was 36.4 (95% Cl 31.9– 41.2%). Furthermore, the association between age and overweight/obesity was significant (p< 0.0001). The percentage of overweight and obesity started to be significant in the 30– 39 year age group. Moreover, the OR for obesity ranged from 2.7 to 7.0 (p< 0.05– 0.01) for those women with only elementary education. Besides, high parity was significantly associated with obesity and elementary education. For chronic conditions, the percentages of hypertension, diabetes, hypertriglyceridemia, osteoporosis, and rheumatoid arthritis were significantly correlated with increased BMI in Jordanian women. With age adjustment, however, only hypertension was associated with obese level 3 with OR of 7.2 and 95% CI of 2.1– 25.1 (p< 0.01). Conclusion: There is a high prevalence of overweight/obesity among women in Jordan, which was related to high parity and low education level. This high prevalence of obesity increased the incidence of chronic diseases, such as hypertension. Therefore, community-based multiple strategies are required to combat obesity in Jordanian women. Keywords: women, obesity, hypertension, chronic diseases, parity, education, Jordan Introduction Obesity and overweight pose a significant public health threat as a rising epidemic in many countries. 1 In recent years, an increase in body mass index (BMI) was linked to the risk burden of non-communicable chronic diseases globally. 2–4 Several epidemiologic studies have shown that the rates of obesity in all ages and among both males and females irrespective of geographical locality, ethnicity, or socioeconomic status are increasing. 5 , 6 For instance, the United States National Health and Nutrition Examination Survey has revealed data showing the overall prevalence of obesity among adults in 2013–2014 was 37.7%. However, the prevalence of obesity is generally greater in women. 7 The prevalence among women was 40.4% compared with 35.0% among men. 8 Furthermore, women with high BMI are marked at higher risk of breast cancer, 9 atherosclerotic cardiovascular disease, 10 type 2 diabetes, 11 hypertension, 12 dyslipidemia, 13 musculoskeletal disorders, 14 endocrine disorders, 15 risk of infertility, 16 and impaired pulmonary function. 17 The overcharging aim to prevent overweight and obesity among women has been highly addressed to governments by the world health organization (WHO) to prevent premature death due to chronic diseases. 18 Aging along with obesity are considered to be the most popular universal contributors to health decline. During 2016, 78% of the total 36,000 Jordanian deaths occurred because of chronic diseases. 19 In addition, it was estimated that the prevalence of chronic diseases from 2005 to 2050 in Jordan is expected to accelerate rapidly. 20 In a 2008 study, the age-standardized prevalence of obesity in the northern area of Jordan was 28.1% in men and 53.1% in women. 21 Besides, the same study reported increased obesity percentages in women aged ≥40 years in 2008 compared to the surveys performed in 1994 and 2004. 21 As in other areas, obesity in Jordan coincided with an increased odds ratio of diabetes, hypertension, and dyslipidemia. 21–23 Though, weight reduction and control should be the center of secondary prevention strategies of hypertension and cardiovascular disease when it comes to conveying clinical information into practice. Recently, we have studied the factors associated with natural menopause age, mainly related to premature and early menopause among Jordanian women. 24 Although the BMI increase was not a factor in premature or early menopause in the latter study, BMI data in women was alarming. Therefore, in the present study, we investigated the prevalence of obesity in relation to age, education, and parity, and its correlation to chronic diseases and its emerging risk factors in Jordanian women. Materials and Methods Study Approval, Design, and Subjects This study was designed for cross-sectional research. A study protocol was submitted to the Research Ethics Committee at the Jordan University Hospital and received approval (Approval #38/2015) in early 2016. This study was carried out at Jordan University Hospital per the Declaration of Helsinki, whereby every subject has agreed to enroll by willingly signing informed consent. Subjects and the Selection Process For the selection process, we followed a random drop-off technique to the Obstetrics and Gynecology clinics atJordan University Hospital. Any female 18 years of age and older was asked to enroll in the study. Investigators discussed the importance of the study to each participant. Following the acceptance to enroll, each participant signed informed consent. Furthermore, the sample size was calculated to be ≥380 subjects, based on 50% probability of obesity in Jordan, 0.05 error and 95% confidence interval (95% CI). 21 Four hundred and sixty-eight accepted to enroll in the study. Out of the 468, 40 subjects were excluded from the analysis because they were non-Jordanian and were residing in Jordan as students, ie, they were residing for a short period of time. With the help of the health-trained investigators, each participant answered a questionnaire containing 30 questions. The questions have information about each participant’s socioeconomic factors, including marital status, having kids, type of work, household salary, and education status. Furthermore, the questionnaire included data on each subject’s smoking habits, chronic conditions, and diseases. Body Mass Index (BMI) Each subject’s weight and height were measured and recorded (Seca 700 with stadiometer, Hamburg, Germany). BMI was calculated and classified (c-BMI) using the International Classification recommended by WHO. c-BMI was as follows: 1 for underweight (<18.5 kg/m2), 2 for standard weight (18.5–24.9 kg/m2), 3 for overweight (25.0–29.9 kg/m2), 4 for obese 1 (30–34.9 kg/m2), 5 for obese 2 (35–39.9 kg/m2), and 6 for obese 3 (>40 kg/m2). Data Analysis Means and standard deviations were used to describe the continuous variables and percentages to describe categorical variables. Each categorical variable’s frequencies were reported, and the 95% confidence interval (95% CI) for each variable was calculated. For association analysis, Chi-square analysis was used with the estimation of odds ratio (OR) and 95% CI. Furthermore, multinomial logistic regression analysis was applied to a combination of independent variables and a dependent condition with covariate factors, such as age and socioeconomic variables. A p-value of <0.05 was considered to be statistically significant. All analyses were performed using SPSS 25 statistical package. Results Sociodemographic Characteristics and Health Status of the Study Population The study population consisted of 428 Jordanian women with a mean age of 48.6 years (±14.5 SD) ( Table 1 ). The majority were married (75.5%), having kids (68.5%), housewives (64%), never smoked (79.2%), and their household income was low (75.2%). Besides, half of the population (50.9%) had a college degree, and slightly higher than half (57.7%) considered having good health ( Table 1 ). Table 1 Characteristics of the Study Population More than half (59.8%) of the study population had arthritis pain. However, the most common chronic condition that affected the study group was hypertension (29.5%), and to a lesser extent, diabetes and hypertriglyceridemia ( Table 2 ). Furthermore, women with ovarian cysts, uterine fibrosis, and osteoporosis were 12–14%. On the other hand, the percentage of autoimmune-related diseases, such as rheumatoid arthritis, systemic lupus erythematosus, and thyroid diseases was 6.1%. Table 2 Frequency of Chronic Diseases/Conditions in a Sample of Jordanian Women with an Age Range of 20–75 Years Prevalence of Overweight and Obesity in Jordanian Women and Its Relation to Age, Education Level and Parity The percentage frequency of the study population revealed that the majority of women were overweight ( Figure 1A ). This represented an overall c-BMI average of 3.25 (± 1.19) with a 95% CI of 3.14–3.37. According to c-BMI ≥3, the age-standardized prevalence of overweight/obese Jordanian women was 70.6% (95% CI 66.0–74.8%). On the other hand, the age-standardized prevalence of only obese women was 36.4 (95% Cl 31.9–41.2%). Furthermore, data showed that as females aged, the c-BMI significantly increased ( Figure 1B ). According to the age groups, the percentage of overweight/obese females increased from ~26% in 20–29-year age groups to a range between 73–84% in 30 years of age and older (p<0.0001) ( Figure 1C ). However, the percentage of women with the standard weight (c-BMI of 2) was kept constant (~20%) from 30 years of age and above. On the other hand, the percentage of obese women kept increasing with age ( Figure 1C ). Figure 1 (A) The distribution frequency of all subjects according to c-BMI. (B) The mean of c-BMI in each age group (error bars represent standard deviation), and **Means significantly different than all other age groups (p<0.01); *Means significantly different than 50–59 and ≥60 years groups (p<0.05). (C) The distribution percentages of underweight, standard, overweight, and obese women in Jordan according to their age. To evaluate if the education level, having kids, or smoking status were an associated factor with prevalence of obesity in Jordanian women, we used a multinomial regression analysis adjusted with age as a covariate factor. The results showed that obesity, but not overweight, was related to low education levels ( Table 3 ). The adjusted OR (aOR) values ranged from 2.7 to 7.0 for elementary education and obesity, and these aOR values became insignificant with high school and college educations. On the other hand, no significant correlation between high BMI and having kids or smoking status was observed. Table 3 Multinomial Regression Analysis with OR and CI-95% of BMI Type and Education Level Adjusted with Age Furthermore, when parity was classified to low (1–2 kids), medium (3–4 kids), grand parity (5–6 kids) and high grand parity (>7 kids), obesity was significantly associated with medium, grand, and high grand parity in comparison to low parity (p<0.05, 0.05, 0.01, respectively) ( Table 4 ). When age was introduced as a cofactor, only high grand parity was associated with obesity ( Table 4 ). However, when education was introduced, no significance was noted. Besides, low education was significantly correlated with an increase in parity ( Table 5 ). Table 4 Multinomial Regression Analysis with OR and CI-95% of Obesity and Parity without and with Age Adjustment Table 5 Number of Women and Their Parity in Comparison to Their Education Level Association Between Overweight/Obesity and Chronic Conditions Since overweight/obesity was a major observational factor in the Jordanian population, further analysis related to chronic/disease conditions with high BMI was performed ( Table 6 ). The percentages of hypertension, diabetes, hypertriglyceridemia, osteoporosis, and rheumatoid arthritis were significantly correlated with increased c-BMI in Jordanian women. Furthermore, the OR ranged between 2.53 and 2.76 for metabolic syndrome-related conditions and was extremely high (9.01) for rheumatoid arthritis. Table 6 Association of Overweight/Obese Jordanian Women with Chronic Conditions/Diseases After adjusting for age and socioeconomic variables in the multinomial regression analysis, only hypertension was associated with an obese 3 level and an aOR of 7.2 ( Table 7 ). Furthermore, rheumatoid arthritis showed a trend towards correlation with overweight and obese 3 (aOR 7.6 and 10.3, p=0.058 and 0.056, respectively). On the other hand, diabetes, osteoporosis, and hypertriglyceridemia became insignificantly correlated with overweight/obesity ( Table 7 ). Table 7 Multinomial Regression Analysis with OR and CI-95% of BMI Type to Chronic Conditions Adjusted with Age and Socioeconomic Variables* Discussion The present study showed that age-adjusted prevalence of overweight and obesity is high (70.6%) in Jordanian women. This is similar to females living in the eastern Mediterranean regions, including Jordan. 25 , 26 However, the age-adjusted prevalence for obesity is moderately high (36.4%). The latter is less than the reported study in northern Jordan, 21 or in Kuwait, Saudi Arabia, or Qatar, but closer to women from Lebanon, Iran, or Tunisia. 25 Furthermore, our findings stressed on the association of obesity to low education level and high parity. Therefore, a good reason for the differences in the prevalence of obesity in the literature between different populations and studies is the percentage of women with low education levels and the number of parity each woman had in each study. Furthermore, we showed that BMI increased steadily from the age group of 30–39 to over 60 years. Hence, making it evident that increasing BMI is highly associated with age. This finding is expected since previous studies showed that overweight/obesity is related to age. 27 There were no coinciding studies in Jordan that correlate educational level to obesity among women. However, previous research has shown that the prevalence of overweight/obesity among low socioeconomic levels. 21 , 26 Herein, we showed that the prevalence of obesity was inversely related to educational levels. Women with only elementary education showed to be the highest in obesity. This is in agreement with previous studies that have produced ample evidence that obesity is related to low educational levels, 28–30 and consequently such low education would disrupt the dynamic factor of the socioeconomic ladder. 31 Since an increasing number of pregnancies may contribute to postpartum weight retention, 32 , 33 this study showed that increasing parity is significantly related to obesity. 34 , 35 Furthermore, as a proxy for socioeconomic status, low educational level is inversely associated with parity, and when cofounded with obesity, lower education was highly related to increased odds of obesity due to increase in parity. 34 , 36 Aging, with its related consequences on health, is considered a significant contributor to health decline. When the accumulation of unhealthy lifestyle behaviors such as low physical activity, high intake of sugar-sweetened beverages, and low intake of fruits and vegetables during aging would increase multiple inflammatory processes and therefore, linkage to chronic inflammatory diseases occurs. 37–40 In the present study, hypertension, diabetes, hypertriglyceridemia, osteoporosis, and rheumatoid arthritis were all significantly correlated with increased BMI and age. However, after adjusting for age and socioeconomic variables, only hypertension was associated with obesity. The latter points to other risk factors accumulated with aging that may enhance the prevalence of diabetes, hypertriglyceridemia, osteoporosis, and rheumatoid arthritis. Furthermore, this reveals the limitations of the present study, which did not include variables such as lifestyle behavior for each subject, obesity family history, and obesity in early adolescence. 41 Besides, this study is a cross-sectional observational study, and it is difficult to make inferences regarding causal relationships and obesity. Furthermore, although the sample size of this study is adequate, the number of subjects enrolled is limited. Finally, some of the questionnaire questions were relatively subjective and depended on each participant’s opinion. Obesity is an alarming risk factor for hypertension, leading to increased morbidity and mortality among Jordanian women. Hypertension is a modifiable risk factor for cardiovascular and renal diseases. 42 Besides, multiple pathophysiological abnormalities were found to be highly related to hypertension and obesity. The associated abnormalities are inflammation, insulin resistance, increased oxidative stress, abnormal adipokines production, the sympathetic nervous system, and the renin-angiotensin-aldosterone systems. 43 Thus, early diagnosis and treatment of obesity impact the prevention of hypertension and its consequences. Furthermore, obesity is preventable by improving our understanding of the factors that promote obesity from an early age. Thus, implementing preventing obesity into clinical practice should increase awareness against high-fat food consumption, reduced physical exercise, and improved sedentary lifestyle. 44 , 45 Medical education in the clinic regarding obesity and its correlation to metabolic and cardiovascular diseases, adopting new lifestyle habits for weight management should be of high importance. Furthermore, this and other previous studies should help health policymakers implement awareness of the background of obesity in Jordan. In conclusion, there is a high prevalence of overweight/obesity among women in Jordan, which was related to high parity and low education level. Besides, this high prevalence increased the incidence of chronic conditions among obese women. Therefore, community-based multiple strategies are required to combat obesity in Jordanian women. Furthermore, research should be dedicated to supporting women’s well-being in Jordan’s clinics by elevating the association of overweight and obesity with increased morbidity and mortality rates. Finally, it is vital to improve our understanding of obesity in women to initiate interventional strategies to control chronic diseases. Abbreviations 95% CI, 95% confidence interval; aOR, adjusted odds ratio; BMI, body mass index; c-BMI, classified BMI; OR, odds ratio; WHO, World Health Organization. Acknowledgments The authors acknowledge the financial support from the Deanship of Research and Graduate Studies at the University of Petra (Grant Numbers 5-4-2015), Amman, Jordan, and Jordan University Hospital to facilitate meeting the participants and collecting samples. A special gratitude acknowledgment dedicated to Ms. Suzan Alwawi, University of Petra, for technical assistance and finally to all study participants. Khalid Z Matalka reports their current address is Matalka’s Scientific Writing, Lexington, MA, 02420, USA. Author Contributions All authors made substantial contributions to conception and design, acquisition of data, or analysis and interpretation of data; took part in drafting the article or revising it critically for important intellectual content; agreed to submit to the current journal; gave final approval for the version to be published; and agreed to be accountable for all aspects of the work. Disclosure

Predict your next investment

The CB Insights tech market intelligence platform analyzes millions of data points on venture capital, startups, patents , partnerships and news mentions to help you see tomorrow's opportunities, today.

Petra Web Traffic

Rank
Page Views per User (PVPU)
Page Views per Million (PVPM)
Reach per Million (RPM)
CBI Logo

Petra Rank

CB Insights uses Cookies

CBI websites generally use certain cookies to enable better interactions with our sites and services. Use of these cookies, which may be stored on your device, permits us to improve and customize your experience. You can read more about your cookie choices at our privacy policy here. By continuing to use this site you are consenting to these choices.