SATWIKA LIFE STYLE THROUGH THE DESIGN OF MEASURING EQUIPMENT BODY MASS INDEX (BMI) BASED ON IOT

The satwika lifestyle refers to the understanding that the physical body should be maintained through wise thoughts and behavior in determining what is good and bad for the body so that it is always in a fit and fit state. Technology affects the lifestyle of modern society. Practical lifestyles are not necessarily balanced with health awareness. Fast food variations and online food delivery services are practical choices even though they do not meet nutritional standards that can affect health quality. Body Mass Index (BMI) can be an indicator of health, so it can guide a person to control the food consumed. This study innovates the development of a manual BMI measurement tool at STMIK STIKOM Indonesia into a BMI measurement tool that can be accessed online with a concept called IoT (Internet Of Things). The design of the IoT Based BMI Measurement Tool at STMIK STIKOM Indonesia is expected to help lecturers, staff, and students at STMIK STIKOM Indonesia to be able to check their BMI regularly so that they can optimize the satwika lifestyle. The data of this research were obtained by conducting observation, e-questionnaire, and interview methods and then elaborated with qualitative descriptive to describe that the BMI measuring instrument can function and assist the academic community of STMIK STIKOM Indonesia in maintaining a satwika lifestyle.

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Changes in Fathers’ Body Mass Index, Sleep, and Diet From Prebirth to 12 Months Postbirth: Exploring the Moderating Roles of Parenthood Experience and Coparenting Support

Annals of Behavioral Medicine ◽

10.1093/abm/kaab013 ◽

2021 ◽

Author(s):

Brian K Lo ◽

Augustine W Kang ◽

Sebastien Haneuse ◽

Xinting Yu ◽

Tayla von Ash ◽

...

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Fast Food ◽

Vegetable Intake ◽

Fruit And Vegetable Intake ◽

Behavior Changes ◽

The Past ◽

Research Questions ◽

And Behavior ◽

Nighttime Sleep

Abstract Background While research has examined prenatal to postnatal changes in women’s weight, sleep, and diet, much less is known about these changes among fathers. Purpose This study aimed to (a) examine changes in fathers’ body mass index (BMI), sleep, and diet from 1 month before birth to 5–6 months following birth, and from 5–6 months to 11–12 months following birth and (b) explore the moderating roles of parenthood experience and coparenting support. Methods 169 fathers (mean age 35.5 years, 58.9% White) participated. Fathers completed an intake survey shortly after their infant’s birth to recall their height and weight, nighttime sleep hours, fruit and vegetable intake, soda intake, and fast food intake for the month prior to birth. When their child was 6 and 12 months old, fathers reported their weight, sleep, and diet again for the past 4 weeks (i.e., 4 week periods spanning 5–6 months and 11–12 months following birth). Generalized estimating equations were used to answer our research questions. Results Fathers reported higher BMI (Δ = 0.22 kg/m2; 95% confidence interval [CI] = 0.06, 0.38; p = .008) and less nighttime sleep duration (Δ = −0.21 hr; 95% CI = −0.38, −0.05; p = .012) at 5–6 months following birth compared to 1 month prior to birth. Fathers’ diet remained stable over the three timepoints. No evidence was found to support the moderating roles of parenthood experience and coparenting support on fathers’ weight and behavior changes. Conclusions 5–6 months following birth may be an important point of intervention for fathers to promote a return to prebirth BMI and sleep levels.

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Child body mass index, obesity, and proximity to fast food restaurants

International Journal of Pediatric Obesity ◽

10.3109/17477161003777433 ◽

2011 ◽

Vol 6 (1) ◽

pp. 60-68 ◽

Cited By ~ 26

Author(s):

Jennifer M. Mellor ◽

Carrie B. Dolan ◽

Ronald B. Rapoport

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Fast Food ◽

Child Body Mass Index ◽

Fast Food Restaurants

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Fast food consumption and increased body mass index as risk factors for weight gain and obesity in Saudi Arabia

Obesity Medicine ◽

10.1016/j.obmed.2017.09.002 ◽

2017 ◽

Vol 8 ◽

pp. 1-5 ◽

Cited By ~ 3

Author(s):

Amal Bakr Shori ◽

Mai Albaik ◽

Fardos M. Bokhari

Keyword(s):

Risk Factors ◽

Body Mass Index ◽

Saudi Arabia ◽

Weight Gain ◽

Food Consumption ◽

Body Mass ◽

Fast Food ◽

Fast Food Consumption

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Prevalence and Determinants of High Blood Pressure among Adolescents: A School based Study in Rural Area of Hooghly District, West Bengal

International Journal of Research and Review ◽

10.52403/ijrr.20211127 ◽

2021 ◽

Vol 8 (11) ◽

pp. 205-210

Author(s):

Malay Kumar Das ◽

Rabindranath Sinha ◽

Aparajita Dasgupta

Keyword(s):

Physical Activity ◽

Risk Factors ◽

Blood Pressure ◽

Body Mass Index ◽

Food Intake ◽

Alcohol Consumption ◽

Body Mass ◽

High Blood Pressure ◽

Fast Food ◽

Non Communicable Diseases

Introduction: The World Health Organization has already warned of increasing non-communicable diseases among adolescents as a major public health problem. The importance of this age group also lies in the fact that many serious diseases in adulthood have their roots in adolescence. Method: A pre-designed and pre-tested questionnaire was used in class-room setting to collect information from students regarding presence of risk factors of non-communicable diseases. The respondents were also subjected to anthropometric measurements and blood pressure examination using standard operating procedures. Results: A total of 761 students of class VI-XII participated in the study of which 61.4% were boys and rests were girls. High blood pressure among boys and girls were 19.9% and 22.1% were respectively. In Bivariate analysis age > 15 years (median) (OR= 2.11), fast food intake (>3 times/week) (OR= 1.66), Alcohol consumption (OR= 2.22), less physical activity (OR=1.54), increased body mass index (OR=2.53), significantly associated with high blood pressure. In Multivariate analysis age (AOR= 2.25), fast food intake (AOR= 1.50), Alcohol consumption (OR= 2.23), less physical activity (AOR=1.71), increased body mass index (AOR=2.42) remains significant predictor. Conclusion: Detecting the risk factors of high blood pressure prevalent in the population is of utmost importance to achieve a healthy population. Formulation and dissemination of need--based, culturally acceptable and age appropriate scientific messages for school students should be conducted more proactively. Keywords: Adolescents, Blood pressure, Risk factor, Rural school.

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The Association between Body Mass Index and Physical Fitness among Adolescents

JURNAL PENDIDIKAN JASMANI DAN OLAHRAGA ◽

10.17509/jpjo.v4i1.13758 ◽

2019 ◽

Vol 4 (1) ◽

Author(s):

Muhammad Eka Mardyansyah Simbolon ◽

Dzihan Khilmi Ayu Firdausi

Keyword(s):

Body Mass Index ◽

Physical Fitness ◽

Body Mass ◽

Vertical Jump ◽

Modern Society ◽

Abdominal Muscle ◽

Overweight And Obesity ◽

Abdominal Muscles ◽

Cardiorespiratory Endurance

The lifestyle and diet of today's modern society can lead to overweight and obesity. Overweight and obesity is now beginning to worry. This study aims to provide a description of the condition of Body Mass Index (BMI) and physical fitness among adolescents in Bangka Belitung Islands in 2017, and how BMI and physical fitness are associated. 105 adolescents were participants of this study, 90 male and 15 female adolescents. Participants aged ± 18 years in the year of the study conducted. Anthropometry is performed to identify participants' BMI. Performance tests were conducted to identify the components of physical fitness related to the health of the participants. Performance of vertical jump (leg power), sprint 60 meter (speed), push-up (strength and endurance of arm muscle), sit-up (strength and endurance of abdominal muscles), and run / walk distance 1000/1200 meters (cardiorespiratory endurance). BMI has a significant correlation with the strength and endurance of arm muscle (t = 3.79, p < 0.05). BMI has a significant correlation with leg power (t = 4.97, p < 0.01). BMI correlates significantly with speed (t = 4.04, p < 0.05). CRE is only significantly correlated with abdominal muscle strength and endurance (t= 2.51, p < 0.01). Overweight and obesity can be prevented through the provision of a program of physical activity that meets the rules of physical fitness. The program should be provided from primary to senior high school and it’s a sustainable long-term program at every level of education at school. Hopefully overweight and obesity can be prevented.

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The Relationships of Watching Television, Computer Use, Physical Activity, and Food Preferences to Body Mass Index: Gender and Nativity Differences among Adolescents in Saudi Arabia

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18189915 ◽

2021 ◽

Vol 18 (18) ◽

pp. 9915

Author(s):

Ahmad H. Alghadir ◽

Zaheen A. Iqbal ◽

Sami A. Gabr

Keyword(s):

Physical Activity ◽

Body Mass Index ◽

Saudi Arabia ◽

Body Mass ◽

Fast Food ◽

Online Teaching ◽

Age Groups ◽

Food Preferences ◽

Saudi Students ◽

Adolescent Students

Background: Adolescents and ethnic subgroups have been identified at high risks of overweight and its associated complications. Although some studies have investigated overweight, obesity, nutritional status, physical activity, and associated factors among Saudi students, no studies have examined these characteristics among non-Saudi students or compared non-Saudi to Saudi adolescent students. The objective of this study was to compare differences between Saudi and non-Saudi adolescent students regarding time spent watching television, using computers, engaging in physical activity, and their food preferences. The relationships between these lifestyle behaviors and body mass index by Saudi nativity and gender were tested. Methods: Students aged 12 to 18 years (n = 214) from various schools in Riyadh, Saudi Arabia, completed a self-administered questionnaire that included questions about demographic and anthropometric characteristics, daily after-school routine, physical activity, watching television, using computers, and food preferences. Non-parametric (Mann–Whitney U) tests assessed the statistical differences between Saudi and non-Saudi respondents, and males and females were separately tested. Results: Saudi boys who reported physical activity two to five times per week, the most television time, the most computer time, and the highest frequency of eating fast food and drinking soft drinks had a significantly higher mean body mass index than the non-Saudi boys in their categories. However, there were no significant differences found between the Saudi and non-Saudi girls. Conclusions: High levels of sedentary and low levels of physical activities as well as high consumption of high-fat fast foods and high-sugar drinks threaten the health of Saudi adolescents. Cultural differences in lifestyle between Saudi and non-Saudi families should be considered when developing programs to improve knowledge, attitudes, and behaviors regarding diet quality and physical activity. The objective of this study is more important in the current situation where increased time spent on computers and mobile phones due to online teaching in schools or working from home, decreased physical activity due to precautionary lockdowns, and unchecked eating patterns while spending more time in sedentary activities in homes has become our COVID-19 pandemic lifestyle in all the age groups. A similar study should be replicated on a large scale to study the effect of this lifestyle on our lives in all the age groups.

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The Moderating Role of Self-Control and Financial Strain in the Relation between Exposure to the Food Environment and Obesity: The GLOBE Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16040674 ◽

2019 ◽

Vol 16 (4) ◽

pp. 674 ◽

Cited By ~ 6

Author(s):

Joreintje Mackenbach ◽

Marielle Beenackers ◽

J. Noordzij ◽

Joost Oude Groeniger ◽

Jeroen Lakerveld ◽

...

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Food Environment ◽

Fast Food ◽

Self Control ◽

Financial Strain ◽

Food Retailers ◽

Low Self Control ◽

Moderating Role

Low self-control and financial strain may limit individuals’ capacity to resist temptations in the local food environment. We investigated the moderating role of self-control and financial strain in the relation between the food environment and higher body weight. We used data from 2812 Dutch adults who participated in the population-based GLOBE study in 2014. Participants’ home addresses and the location of food retailers in 2013 were mapped using GIS. The density of fast food retailers and the totality of food retailers in Euclidean buffers of 250, 400 and 800 m around the home were linked to body mass index and overweight status. A higher density of fast food outlets (B (95% confidence interval (CI)) = −0.04 (−0.07; −0.01)) and the totality of food outlets (B (95% CI) = −0.01 (−0.01; −0.00)) were associated with a lower body mass index. Stratification showed that associations were strongest for those experiencing low self-control or great financial strain. For example, every additional fast food outlet was associated with a 0.17 point lower BMI in those with great financial strain, while not significantly associated with BMI in those with no financial strain. In conclusion, we did find support for a moderating role of self-control and financial strain, but associations between the food environment and weight status were not in the expected direction.

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Longitudinal state-level effects on change in body mass index among middle-aged and older adults in the USA

Health Education Journal ◽

10.1177/0017896917733016 ◽

2017 ◽

Vol 77 (1) ◽

pp. 59-72

Author(s):

Cheng-Chia Chen ◽

Dong-Chul Seo ◽

Hsien-Chang Lin

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Fast Food ◽

Sample Selection ◽

State Level ◽

Lower State ◽

Potential Health ◽

Bmi Trajectories ◽

The Usa ◽

Fast Food Restaurants

Objective: The purpose of this longitudinal study was to examine the effects of state-level socioeconomic status (SES), the density of fast food restaurants and walking to work on body mass index (BMI) among US adults aged 50 years and older. The study sought further to account for the interaction effects of three different hierarchical levels of variables, including time-varying variables and time-invariant variables such as individual and state-level variables. Confounding related to environmental/neighbourhood effects was controlled for through sample selection. Methods: Data were drawn from the 2000–2010 Health and Retirement Study (HRS) and the 2010 US Census. HRS survey participants aged 50 years and older in 2000, residing in the same census tract during 2000–2010 ( N = 6,156) comprised the study sample. A three-level growth model was fitted to BMI trajectories. Results: BMI significantly increased over time showing both a linear and quadratic decelerating trajectory ( p < .001) where BMI grew faster among sampled adults in their early 50s. Women living in the US states with a lower state-level SES had higher BMIs, while men with higher state-level SES had a higher BMI ( b = −.242, p = .013). In states with a higher proportion of people who walked to work, Hispanics had higher BMIs at baseline and a lower BMI growth rate, compared with non-Hispanic whites ( b = −.033, p < .001). Conclusions: Obesity interventions specific to adults aged 50 years and older require greater emphasis. Potential health inequalities regarding weight gain can be ameliorated through tailoring interventions based on sex, environmental and state-level SES influences.

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