Obesity and comorbid conditions: An urban population-based cross-sectional study in Northwest India

Rani, Renu; Gupta, Rajiv Kumar; Singh, Parveen; Kumari, Rashmi; Sharma, Hari Shankar; Gupta, Riya

doi:10.5455/ijmsph.2017.000718108082017001

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…[4] A highly significant association has also been found between hypertension, a comorbid condition of obesity, and BMI. [5] The prevalence of sleep deprivation is rising globally [6][7][8] as is that of obesity. [9,10] The decrease in sleep duration has also being observed in India; here, 93% of urban population in 35-65 years of age were found to be getting less than the 8 h of sleep per night.…”

Section: Introductionmentioning

confidence: 99%

Sleep duration and its association with obesity and overweight in medical students: A cross-sectional study

Rathod¹,

Nagose²,

Kanagala³

et al. 2017

Natl J Physiol Pharm Pharmacol

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Background: The prevalence of sleep deprivation is rising globally as is that of obesity. The association between the two is also gaining much evidence. The medical students may be specifically affected due to decreased sleep duration. Aims and Objectives:The aim is to study the association between decreased sleep duration and obesity by means of body mass index (BMI) as a measure of obesity among the medical students. Materials and Methods: This is a crosssectional study among 199 medical students. The participants reported their sleep duration, and their height and weight were noted. BMI was calculated from data obtained. Students were categorized according to BMI into underweight, normal, overweight, and obese and according to sleep duration into >8 h, 6-8 h, and <6 h per night. Statistical analysis was done using ANOVA and unpaired t-test using GraphPad software, and P < 0.05 was considered statistically significant. Results: About 22.6% of the participants had a BMI >25 kg/m

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Section: Introductionmentioning

confidence: 99%

Sleep duration and its association with obesity and overweight in medical students: A cross-sectional study

Rathod¹,

Nagose²,

Kanagala³

et al. 2017

Natl J Physiol Pharm Pharmacol

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“…Approximately 73.43% of participants with HTN had a BMI of ≥25. Other studies have also reported a direct relationship between high BMI and an increasing rate of HTN [ 30 , 31 ]. Our results did not show a significant association between smoking, khat chewing, and HTN.…”

Section: Discussionmentioning

confidence: 87%

Prevalence of Hypertension and Its Associated Risk Factors Among Adults Attending Medical Outpatient Clinics at Ibn Sina General Hospital Authority in Mukalla City, Yemen

Bin Dahman,

Al-Awbathani,

Bawazir

et al. 2024

Cureus

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Background: Hypertension (HTN) is the most generally acknowledged modifiable risk factor for cardiovascular disease, cerebrovascular disease, and end-stage renal disease. Accordingly, the World Health Organization has listed HTN as the third greatest cause of death globally. Objectives: The objective of this study was to assess the prevalence of HTN and its associated risk factors among adults attending medical clinics at Ibn Sina Hospital Authority in Mukalla City, Yemen. Methods: A cross-sectional descriptive survey was conducted using a self-administered questionnaire applied to 384 male and female adults aged ≥18 years attending Ibn Sina General Hospital Authority outpatient clinics in Mukalla City, Yemen, between December 2022 and May 2023. The participant’s body weight, height, and waist circumference were measured. The data were analyzed using Statistical Package for the Social Sciences (IBM SPSS Statistics for Windows, IBM Corp., Version 25.0, Armonk, NY). P values of <0.05 were considered statistically significant. Results: Among the 384 participants, 20.5% had HTN, and the remaining (79.5%) did not have HTN, with a substantial proportion (47.2%) reporting a positive family history of HTN. Diabetes mellitus was present in 16.1% of the participants, whereas dyslipidemia and other chronic diseases were reported by 9.3% and 15.8% of the participants, respectively. A total of 75.6% of the participants had never smoked, and 11.7% were past smokers. More than half of the participants (57.29%) had never chewed khat, 20.57% were former khat chewers, and 22.14% were currently chewing khat. Nutritional status, as indicated by body mass index, showed that 29.8% were overweight. Conclusions: HTN was found to be prevalent among the study participants. However, the respondents’ awareness of the problem and the overall control rates were very low. Certain factors, such as family history of HTN, diabetes mellitus, and high body mass index, were found to be associated with HTN. Therefore, intervention measures are warranted emphasizing modifiable risk factors to prevent HTN.

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“…Others include age, gender, obesity, diet, physical activity, alcohol and tobacco use, family history and other co-morbid conditions [5]. These factors vary from country to country and with the difference between urban and rural regions of the same place [6]. The Joint National Committee 7 (JNC7) defined normal blood pressure as a systolic BP <120 mmHg and diastolic BP <80 mm Hg while Hypertension was defined as systolic BP level of ≥140 mmHg and/or diastolic BP level ≥90 mmHg [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Risk Factors for Hypertension amongst the Staff of a Tertiary Institution in Nigeria

Nwoga

2023

EJMED

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Background: Hypertension is a leading cause of cardiovascular disease, coronary heart disease, stroke, and kidney failure. The aim of this study was to assess the risk factors for hypertension amongst the staff of a tertiary institution in Nigeria. Materials and Methods: All consenting staff of College of basic and clinical medical sciences of the Enugu State University College of Medicine participated in the study. A structured questionnaire was used to collect data on the background characteristics and risk factors for hypertension. The weight and height measures were used to calculate the BMI of the participants. A systolic blood pressure of 140 mmHg and a diastolic blood pressure of 90 mmHg according to the guidelines from American Heart Association were classified as hypertension. Results: Majority of the staff (62.1%) were not aware of their blood pressure value. About 29.3% have a family history of hypertension, 17.9% are diabetic, 27.9% takes alcohol, 9.3% take tobacco, 20.0% exercises while 20.0% add salt to cooked food. Family history of hypertension, intake of alcohol and exercise were significant risk factors associated with hypertension. On logistic regression exercise [AOR = 0.119; CI = (0.030–0.481)] and family history of hypertension [AOR = 3.932; CI = (1.485–10.413)] positively predicted hypertension among the participants. Conclusion: The study revealed that both non modifiable (family history of hypertension) and modifiable risk factors (intake of alcohol and exercise) were significant risk factors for hypertension in the studied population. Hence, awareness should be directed to both areas.

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Obesity and comorbid conditions: An urban population-based cross-sectional study in Northwest India

Cited by 3 publications

References 6 publications

Sleep duration and its association with obesity and overweight in medical students: A cross-sectional study

Sleep duration and its association with obesity and overweight in medical students: A cross-sectional study

Prevalence of Hypertension and Its Associated Risk Factors Among Adults Attending Medical Outpatient Clinics at Ibn Sina General Hospital Authority in Mukalla City, Yemen

Assessment of Risk Factors for Hypertension amongst the Staff of a Tertiary Institution in Nigeria

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