Effects of the Healthy Start randomized intervention trial on physical activity among normal weight preschool children predisposed to overweight and obesity

The research has the intention to determinate the prevalence, risky factors of overweight and obesity in a sample of six hundred people between seven (7) and eighteen (18) years old, chosen by a simple random sampling with exclusion criteria, pathologies that affect the weight and size (diabetes paralysis; malformation or physic limitations). The data was collected through national poll of the nutritional situation and Colombia ENSIN, in the demographic and anthropometric information register and poll identification of food habits and physical activity questionnaire for children PAQ-C. The comparative analysis was made through SPSS in two determined populations by the low and medium social status criteria in the overweight and obesity variables, risky factors related with physical activity food habits and gender. It can be concluded that the population presents normal weight, prone to obesity. Based on the medium socioeconomic status, the percent of male obese teenagers is higher than the female one. Children independent of the socioeconomic status, present a higher percentage of obesity than teenagers. A high percent of population do not do physical exercise. There is no evidence of the relation between socioeconomic level and the presence of unhealthy food habits.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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Total Serum Antioxidant Capacity in Healthy Normal Weight and Asymptomatic Overweight Adults

Experimental and Clinical Endocrinology & Diabetes ◽

10.1055/s-0043-107783 ◽

2017 ◽

Vol 125 (07) ◽

pp. 470-477 ◽

Cited By ~ 4

Author(s):

Ana Petelin ◽

Paola Tedeschi ◽

Annalisa Maietti ◽

Mihaela Jurdana ◽

Vincenzo Brandolini ◽

...

Keyword(s):

Oxidative Stress ◽

Physical Activity ◽

Antioxidant Capacity ◽

Normal Weight ◽

Overweight And Obesity ◽

Total Serum ◽

Nutrient Intakes ◽

Fat Accumulation ◽

Nutritional Habits ◽

Overweight Adults

Abstract Obesity and overweight are major contributors to the burden of chronic disease. Both are defined as abnormal or excessive fat accumulation and by increased production of free radicals leading to oxidative stress. The aim of the present study was to evaluate whether overweight and fat accumulation is associated with serum total antioxidant capacity (TAC) in men and women, irrespective of nutritional habits, nutrient intakes, physical activity, smoking, and other confounders, which may be responsible for modifying the association between serum TAC and overweight/obesity measures. This cross-sectional study was conducted on 60 normal weight and 60 overweight adults aged 25–49. All participants underwent standard anthromorphological measurements of body composition, blood pressure and biochemical measurements, aerobic capabilities assessment and dietary intake evaluation. TAC was measured by using the photochemioluminescence method. All data were analysed with SPSS software. Men had higher values of TAC than women and concentrations of TAC were significantly higher in overweight subjects compared to normal weight subjects. In the present study TAC tended to be increased by various metabolic risk factors, especially overweight/obesity parameters (body mass index, body fat), inflammation and increased serum levels of Cysteine, irrespective of nutritional habits, nutrient intakes, physical activity and smoking. Overweight and obesity at an early stage may stimulate TAC. Therefore, the elevation of TAC in overweight adults may be a compensatory response to oxidative stress, generated by reactive oxygen species.

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Associations between Adherence to Combinations of 24-h Movement Guidelines and Overweight and Obesity in Japanese Preschool Children

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17249320 ◽

2020 ◽

Vol 17 (24) ◽

pp. 9320

Author(s):

Hyunshik Kim ◽

Jiameng Ma ◽

Kenji Harada ◽

Sunkyoung Lee ◽

Ying Gu

Keyword(s):

Physical Activity ◽

Preschool Children ◽

Sleep Duration ◽

Screen Time ◽

Cross Sectional Study ◽

Overweight And Obesity ◽

Intervention Programs ◽

Cross Sectional ◽

Public Health Policies ◽

The Status

The interactions between movement behaviors (physical activity, screen time, and sleep) affect the health of preschool children. Therefore, we examined the status of adherence to combinations of 24-hour movement guidelines (24-h MG) in Japanese preschool children and determined the associations between overweight/obesity and adherence to these 24-h MG. This cross-sectional study was conducted with 421 children aged 3–5 years (216 boys and 199 girls) living in the northeastern region of Japan. To evaluate the 24-h MG, physical activity over one week was measured using a three-axis accelerometer. For screen time and sleep duration, a questionnaire survey was conducted. Children who failed to meet all the 24-h MG had a higher probability of overweight/obesity than those who met all the 24-h MG (odds ratio 1.139, 95% confidence interval: 1.009, 1.285). The percentage of adherence to the 24-h MG was 91.6% for physical activity, 82.5% for sleep duration, and 33.7% for screen time, and only 21.5% of the children adhered to all three areas of the guidelines. Our findings have important implications for developing public health policies and effective intervention programs for preschool children.

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Overweight or Obesity, Gender, and Age Influence on High School Students of the City of Toluca’s Physical Fitness

BioMed Research International ◽

10.1155/2017/9546738 ◽

2017 ◽

Vol 2017 ◽

pp. 1-11 ◽

Cited By ~ 4

Author(s):

Flor de Maria Cruz Estrada ◽

Patricia Tlatempa Sotelo ◽

Roxana Valdes-Ramos ◽

José Aldo Hernández Murúa ◽

Rafael Manjarrez-Montes-de-Oca

Keyword(s):

Physical Activity ◽

High School Students ◽

Physical Fitness ◽

Skinfold Thickness ◽

Normal Weight ◽

Overweight And Obesity ◽

School Students ◽

Cross Sectional ◽

Probabilistic Sampling ◽

The City

Material and Method. This is a prospective, cross-sectional, and correlational study with a probabilistic sampling in which 150 teenagers from three different high schools from the city of Toluca, Mexico, aged 15–17, were assessed. Objective. To determine if weight, age, and gender have an influence on physical fitness evaluated with the EUROFIT and ALPHA-FITNESS batteries. Results. Women have a higher overweight and obesity rate than men (3 : 1). Adolescents who have normal weight have regular physical fitness (74.9%). When comparing genders we found that men have a higher mean than women in the tests, except for skinfold thickness and waist circumference. Age was only correlated with the plate tapping test (p=0.001). There are significant differences in the standing broad jump test and the Course-Navette of the EUROFIT and ALPHA-FITNESS batteries (p=0.000). Conclusions. It is likely that regular physical activity, and not normal weight, helps generate healthy physical fitness. Male subjects had a higher mean than women, reporting a better physical fitness and more frequent physical activity.

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Association of Irisin Plasma Levels with Anthropometric Parameters in Children with Underweight, Normal Weight, Overweight, and Obesity

BioMed Research International ◽

10.1155/2017/2628968 ◽

2017 ◽

Vol 2017 ◽

pp. 1-11 ◽

Cited By ~ 16

Author(s):

Leticia Elizondo-Montemayor ◽

Christian Silva-Platas ◽

Alejandro Torres-Quintanilla ◽

Carlos Rodríguez-López ◽

Guillermo U. Ruiz-Esparza ◽

...

Keyword(s):

Physical Activity ◽

Plasma Levels ◽

Linear Regression Analysis ◽

Multiple Linear Regression Analysis ◽

Normal Weight ◽

Overweight And Obesity ◽

Fat Free Mass ◽

Activity Levels ◽

Anthropometric Parameters ◽

Considerable Controversy

The correlations between irisin levels, physical activity, and anthropometric measurements have been extensively described in adults with considerable controversy, but little evidence about these relationships has been found in children. The objective of this study is to correlate the plasma levels of irisin in underweight, normal weight, overweight, and obese children with anthropometric parameters and physical activity levels. A cross-sample of 40 children was divided into the following groups on the basis of body mass index (BMI) percentile. The correlations of plasma irisin levels with physical activity, anthropometric, and metabolic measurements were determined. Plasma irisin levels (ng/mL) were lower for the underweight group (164.2 ± 5.95) than for the normal weight and obese groups (182.8 ± 5.58;p<0.05). Irisin levels correlated positively with BMI percentile (0.387), waist circumference (0.373), and fat-free mass (0.353;p<0.05), but not with body muscle mass (−0.027). After a multiple linear regression analysis, only BMI percentile (0.564;p<0.008) showed a positive correlation with irisin. Our results indicated no association with metabolic parameters. A negative correlation with physical activity was observed. Interrelationships among body components might influence irisin levels in children.

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A User-Centered Chatbot (Wakamola) to Collect Linked Data in Population Networks to Support Studies of Overweight and Obesity Causes: Design and Pilot Study (Preprint)

10.2196/preprints.17503 ◽

2019 ◽

Author(s):

Sabina Asensio-Cuesta ◽

Vicent Blanes-Selva ◽

J Alberto Conejero ◽

Ana Frigola ◽

Manuel G Portolés ◽

...

Keyword(s):

Physical Activity ◽

Social Network ◽

Pilot Study ◽

Linked Data ◽

Normal Weight ◽

Overweight And Obesity ◽

User Centered Design ◽

Diet Patterns ◽

Status Score ◽

User Centered

BACKGROUND Obesity and overweight are a serious health problem worldwide with multiple and connected causes. Simultaneously, chatbots are becoming increasingly popular as a way to interact with users in mobile health apps. OBJECTIVE This study reports the user-centered design and feasibility study of a chatbot to collect linked data to support the study of individual and social overweight and obesity causes in populations. METHODS We first studied the users’ needs and gathered users’ graphical preferences through an open survey on 52 wireframes designed by 150 design students; it also included questions about sociodemographics, diet and activity habits, the need for overweight and obesity apps, and desired functionality. We also interviewed an expert panel. We then designed and developed a chatbot. Finally, we conducted a pilot study to test feasibility. RESULTS We collected 452 answers to the survey and interviewed 4 specialists. Based on this research, we developed a Telegram chatbot named Wakamola structured in six sections: personal, diet, physical activity, social network, user's status score, and project information. We defined a user's status score as a normalized sum (0-100) of scores about diet (frequency of eating 50 foods), physical activity, BMI, and social network. We performed a pilot to evaluate the chatbot implementation among 85 healthy volunteers. Of 74 participants who completed all sections, we found 8 underweight people (11%), 5 overweight people (7%), and no obesity cases. The mean BMI was 21.4 kg/m<sup>2</sup> (normal weight). The most consumed foods were olive oil, milk and derivatives, cereals, vegetables, and fruits. People walked 10 minutes on 5.8 days per week, slept 7.02 hours per day, and were sitting 30.57 hours per week. Moreover, we were able to create a social network with 74 users, 178 relations, and 12 communities. CONCLUSIONS The Telegram chatbot Wakamola is a feasible tool to collect data from a population about sociodemographics, diet patterns, physical activity, BMI, and specific diseases. Besides, the chatbot allows the connection of users in a social network to study overweight and obesity causes from both individual and social perspectives.

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A User-Centered Chatbot (Wakamola) to Collect Linked Data in Population Networks to Support Studies of Overweight and Obesity Causes: Design and Pilot Study

JMIR Medical Informatics ◽

10.2196/17503 ◽

2021 ◽

Vol 9 (4) ◽

pp. e17503

Author(s):

Sabina Asensio-Cuesta ◽

Vicent Blanes-Selva ◽

J Alberto Conejero ◽

Ana Frigola ◽

Manuel G Portolés ◽

...

Keyword(s):

Physical Activity ◽

Social Network ◽

Pilot Study ◽

Linked Data ◽

Normal Weight ◽

Overweight And Obesity ◽

User Centered Design ◽

Diet Patterns ◽

Status Score ◽

User Centered

Background Obesity and overweight are a serious health problem worldwide with multiple and connected causes. Simultaneously, chatbots are becoming increasingly popular as a way to interact with users in mobile health apps. Objective This study reports the user-centered design and feasibility study of a chatbot to collect linked data to support the study of individual and social overweight and obesity causes in populations. Methods We first studied the users’ needs and gathered users’ graphical preferences through an open survey on 52 wireframes designed by 150 design students; it also included questions about sociodemographics, diet and activity habits, the need for overweight and obesity apps, and desired functionality. We also interviewed an expert panel. We then designed and developed a chatbot. Finally, we conducted a pilot study to test feasibility. Results We collected 452 answers to the survey and interviewed 4 specialists. Based on this research, we developed a Telegram chatbot named Wakamola structured in six sections: personal, diet, physical activity, social network, user's status score, and project information. We defined a user's status score as a normalized sum (0-100) of scores about diet (frequency of eating 50 foods), physical activity, BMI, and social network. We performed a pilot to evaluate the chatbot implementation among 85 healthy volunteers. Of 74 participants who completed all sections, we found 8 underweight people (11%), 5 overweight people (7%), and no obesity cases. The mean BMI was 21.4 kg/m2 (normal weight). The most consumed foods were olive oil, milk and derivatives, cereals, vegetables, and fruits. People walked 10 minutes on 5.8 days per week, slept 7.02 hours per day, and were sitting 30.57 hours per week. Moreover, we were able to create a social network with 74 users, 178 relations, and 12 communities. Conclusions The Telegram chatbot Wakamola is a feasible tool to collect data from a population about sociodemographics, diet patterns, physical activity, BMI, and specific diseases. Besides, the chatbot allows the connection of users in a social network to study overweight and obesity causes from both individual and social perspectives.

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