Factors That Affect Body Mass Index of Adults

Asil, Esma; Sürücüoğlu, Metin Saip; Çakiroğlu, Funda Pınar; Ucar, Asli; Özçelik, Ayşe Özfer; Yilmaz, Mustafa Volkan; Akan, Lale Sariye

doi:10.3923/pjn.2014.255.260

Cited by 20 publications

(22 citation statements)

References 23 publications

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“…In another study in Turkey, age, educational level and marital status were factors that were found to affect Body Mass Index (BMI) [27]. Similar results were obtained in this study as marital status and monthly income were found to significantly affect BMI.…”

Section: Discussionsupporting

confidence: 87%

Dietary diversity and nutrient intake adequacy among women in Iwo local government area, Osun State Nigeria

Oladoyinbo¹,

Ugwunna²,

Ekerette³

2017

AJFAND

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Dietary diversity has been considered a potential 'proxy' indicator to reflect nutrient intake adequacy. The study assessed the Dietary Diversity and Nutrient Intake Adequacy among adult women in Iwo Local Government (LGA) area of Osun State. Apparently healthy 250 adult women were the respondents in the study. The anthropometric measurements of the respondents were taken using standard equipment. A 24-hour dietary recall questionnaire was used to assess the food intake of the respondents, which was converted into nutrient intake using adapted Total Dietary Assessment (TDA) software. Dietary Diversity Score (DDS) was created using a 15-food group model. Nutrient intake was evaluated using Nutrient Adequacy Ratio (NAR). Mean adequacy ratio (MAR) was calculated as an indicator of nutrient intake adequacy. Statistical Package for Social Sciences (SPSS) software was used for analysis of the data collected. More than half (56.4%) of the respondents had normal body weight, 15.2% were underweight, 21.2% were overweight and 7.2% were obese. The diet of the respondents consisted of food items mainly from food groups such as cereals, white roots and tubers, vitamin A-rich vegetables, spices, condiments and beverages. Fruits and foods from milk and milk products were the least consumed. The mean DDS was 8.29±1.3, 4.4% of the respondents had high DDS, 94.4% had minimum DDS and 1.2% had low DDS. The MAR was 2.56±0.69, the intake of some nutrients such as carbohydrate, fat, iron, zinc and protein was above the recommended dietary intake and there was inadequate intake for some nutrients such as calcium, vitamin C and potassium among the respondents. Consumption of foods from groups such as meat and meat products, eggs and poultry and fish were found to be significantly related with nutrient intake adequacy as respondents with adequate intake of nutrients consumed more from these food groups. These results indicate that dietary diversity is an indicator of nutrient intake adequacy. Most of the respondents consumed foods from cereals, white roots and tubers, vegetables, legumes, oil and fats, spices and condiments than from other food groups.

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Section: Discussionsupporting

confidence: 87%

Dietary diversity and nutrient intake adequacy among women in Iwo local government area, Osun State Nigeria

Oladoyinbo¹,

Ugwunna²,

Ekerette³

2017

AJFAND

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“…It has been demonstrated repeatedly that socioeconomic factors have an overarching impact. For instance, it has been reported that 34% of BMI status can be attributed to educational background, marital status, smoking status and to a less significant extent, sleep deprivation based on results from a cohort study [ 22 ]. In the current study, education ( p < 0.001), marital status ( p < 0.001) and smoking status ( p < 0.001) were significantly associated with BMI in both men and women.…”

Section: Discussionmentioning

confidence: 99%

Measures of excess body weight and anthropometry among adult Albertans: cross-sectional results from Alberta’s tomorrow project cohort

et al. 2017

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BackgroundExcess body weight during adulthood has been consistently associated with all-cause mortality, cardiovascular disease, and cancer at multiple sites among other chronic diseases. We describe the prevalence of excess body weight and abdominal obesity reported by participants enrolled in Alberta’s Tomorrow Project (ATP).MethodsATP is a geographically-based cohort study conducted among adults aged 35–69 years from across the province of Alberta. Participants completed anthropometric measures and health and lifestyle questionnaires at enrolment. Overweight and obese were categorized as a body mass index (BMI) of 25.0–29.9 kg/m2 and ≥30 kg/m2, respectively. Abdominal obesity was categorized using cut-offs of waist circumference of >94 cm for men and >80 cm for women and waist-tp-hip ratio cut-offs of >0.90 for men and >0.85 for women.ResultsBMI and hip and waist circumference data were obtained from 12,062 men and 18,853 women enrolled between 2001 and 2009. Overall, 76.8% of men and 59.5% of women reported a BMI ≥25 kg/m2. The proportions of overweight and obese were significantly higher in older age groups (p < 0.001). In addition, the proportion of participants reporting being overweight and obese was higher among lower education (p < 0.001) and lower income groups (p < 0.001). Overall, approximately two thirds of men and women in ATP cohort reported abdominal obesity. Overweight, obesity and abdominal obesity were all associated with a history of several cardiometabolic chronic conditions including hypertension, heart attack, angina, high cholesterol, stroke and diabetes.ConclusionA large majority of ATP participants were overweight and carried excess abdominal fat. Strategies to improve energy balance among Albertans are encouraged and may have a notable impact on future chronic disease burden.Electronic supplementary materialThe online version of this article (10.1186/s12889-017-4887-2) contains supplementary material, which is available to authorized users.

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“…1 Di Indonesia IMT dikategorikan menjadi 4 tingkatan yaitu kurus, normal, gemuk dan obesitas. 2 IMT diklasifikasikan menjadi underweight (< 18,5), normal (18,(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)9), overweight (23)(24)9), obesitas 1 (25)(26)(27)(28)(29)9), dan obesitas 2 (≥30). 3 Ada beberapa faktor yang bisa mempengaruhi IMT, yaitu : usia, jenis kelamin, genetik, pola makan, dan aktivitas fisik.…”

Section: Pendahuluanunclassified

Hubungan Indeks Massa Tubuh (IMT) dengan Aktivitas Fisik pada Mahasiswa Kedokteran

Dewi¹,

Aisyah

2021

INAJOH

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Background and Objectives: Body Mass Index (BMI) is a parameter established by WHO (World Health Organization) as a ratio of body weight to body height squared. Physical activity according to WHO is any body movement produced by skeletal muscles that require energy. Lack of physical activity) is an independent risk factor for chronic disease, and is thought to cause death globally. The aim of this study was to determine the relationship between BMI and physical activity. Methods: This study is a descriptive research design. The data was collected by using a questionnaire. The data of this study were categorical variables from 2 groups so it used the Chi-Square test. Reference results were entered into the Mendeley application using the Vancouver system. Results: total sample was 104 people with a mean age of 21-23 years. 21 years 22 people (21.2%), 22 years 46 people (44.2%), 23 years 23 people (22.1%). Based on gender, it was found that there were 37 men (35.6%) and 67 women (64.4%). Based on BMI, it was found that 13 people were underweight (12.5%), 45 people were normal (43.3%), 24 people were overweight (23.1%), 20 people were obese 1 (19.2%), and 2 people were obese 2 ( 1.9%). Conclusion: There is no relationship between BMI and physical activity.

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Factors That Affect Body Mass Index of Adults

Cited by 20 publications

References 23 publications

Dietary diversity and nutrient intake adequacy among women in Iwo local government area, Osun State Nigeria

Dietary diversity and nutrient intake adequacy among women in Iwo local government area, Osun State Nigeria

Measures of excess body weight and anthropometry among adult Albertans: cross-sectional results from Alberta’s tomorrow project cohort

Hubungan Indeks Massa Tubuh (IMT) dengan Aktivitas Fisik pada Mahasiswa Kedokteran

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