scholarly journals Health Behavior in School-Aged Children: Summary of the 2013/2014 WHO Survey

INYI Journal ◽  
2020 ◽  
pp. 12-13
Author(s):  
Babitha Shanmuganandapala

The following piece summarizes the key findings of the 2013/2014 Health Behavior in School-Aged Children report 'Growing up unequal: gender and socioeconomic differences in young people's health and well-being'.

Author(s):  
Branka Rodić Trmčić ◽  
Aleksandra Labus ◽  
Svetlana Mitrović ◽  
Vesna Buha ◽  
Gordana Stanojević

The main task of Internet of Things in eHealth solutions is to collect data, connect people, things and processes. This provides a wealth of information that can be useful in decision-making, improving health and well-being. The aim of this study is to identify framework of sensors and application health services to detect sources of stress and stressors and make them visible to users. Also, we aim at extracting relationship between event and sensor data in order to improve health behavior. Evaluation of the proposed framework model will be performed. Model is based on Internet of Things in eHealth and is going to aim to improve health behavior. Following the established pattern of behavior realized through wearable system users will be proposed a preventive actions model. Further, it will examine the impact of changing health behavior on habits, condition and attitudes in relation to well-being and prevention.


2020 ◽  
Vol 66 (6) ◽  
pp. S3-S5 ◽  
Author(s):  
Joanna C. Inchley ◽  
Gonneke W.J. M. Stevens ◽  
Oddrun Samdal ◽  
Dorothy B. Currie

2021 ◽  
Vol 9 ◽  
Author(s):  
Mathilde R. Crone ◽  
M. Nienke Slagboom ◽  
Anneloes Overmars ◽  
Lisa Starken ◽  
Marion C. E. van de Sande ◽  
...  

Prevention programs often are directed at either parents or children separately, thereby ignoring the intergenerational aspect of health and well-being. Engaging the family is likely to improve both the uptake and long-term impact of health behavior change. We integrated an intergenerational approach into a frequently used shared assessment tool for children's care needs. The current study's aim was 2-fold: to monitor this family-engagement tool's effects on both children and their parents' health behaviors and well-being, and to examine the different dynamics of health behavioral change within a family.Method: We followed 12 children ages 10–14 years and their parents for 12 weeks using an explanatory mixed-methods design comprising interviews, questionnaires, and an n-of-1 study. During home visits at the beginning and end of the study, we interviewed children and their parents about their expectations and experiences, and measured their height and weight. Furthermore, we collected secondary data, such as notes from phone and email conversations with parents, as well as evaluation forms from professionals. In the n-of-1 study, families were prompted three times a week to describe their day and report on their vegetable intake, minutes of exercise, health behavior goals, and psychosomatic well-being. The interviews, notes, and evaluation forms were analyzed using qualitative content analyses. For the n-of-1 study, we performed multi-level time-series analyses across all families to assess changes in outcomes after consulting the family-engagement tool. Using regression analyses with autocorrelation correction, we examined changes within individual families.Results: Five child-mother dyads and three child-mother-father triads provided sufficient pre- and post-data. The mean minutes of children's physical activity significantly increased, and mothers felt more energetic, but other outcomes did not change. In consultations related to overweight, the family-engagement tool often was used without setting specific or family goals.Conclusions: The family-engagement approach elicited positive effects on some families' health and well-being. For multifaceted health problems, such as obesity, family-engagement approaches should focus on setting specific goals and strategies in different life domains, and for different family members.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
A Martinez-Donate ◽  
J Tellez Lieberman ◽  
L Bakely ◽  
C Correa ◽  
C Valdez ◽  
...  

Abstract Background In the United States (U.S.), over 4 million citizen children live with an unauthorized immigrant parent who is at risk of deportation. Children of Mexican immigrants are disproportionately represented among this population, as 1 out of 3 deported immigrants are from Mexico. Parental deportation can have profound and long-lasting consequences for children, yet research on this topic is sparse. We present preliminary findings from an ongoing, longitudinal study examining changes in health, well-being, behavior, and environmental factors among U.S. citizen children of recently deported Mexican immigrants. Methods Forty-eight deported Mexican parents were recruited from deportation processing stations on the Mexican border region. We completed phone interviews with one of their U.S.-based, citizen children and an adult caregiver, collecting retrospective information on health, health behavior, household, academics, and socio-ecological health determinants from a year earlier, as well as shortly after deportation of their parent. Pre-post analyses of caregivers' survey data were conducted to assess changes in outcomes associated with parental deportation. Results Following deportation of their parents, children were reported to have more frequent health problems (p=.008), including mental health problems (p=.002), externalizing (p=.040) and internalizing (p=.011) behaviors, school absences (p=.092), and experiences of food insecurity (p=.007) than a year before. Academic expectations were also significantly worse (p=.006) than those prior to parental deportation. Conclusions Children are the unintended victims of indiscriminate immigration enforcement. Deportation of parents is associated with significant deterioration of physical and mental health, behavior, academics, and home environment for their U.S. citizen children. Our results call for immigration policy reform and interventions to support families affected by the deportation of a parent. Key messages Immigration policies that separate families can have significant detrimental impacts on the health and well-being of U.S. citizen children. Policies must be revised to keep families together and protect children in mixed-legal status families.


2018 ◽  
pp. 880-885
Author(s):  
Branka Rodić Trmčić ◽  
Aleksandra Labus ◽  
Svetlana Mitrović ◽  
Vesna Buha ◽  
Gordana Stanojević

The main task of Internet of Things in eHealth solutions is to collect data, connect people, things and processes. This provides a wealth of information that can be useful in decision-making, improving health and well-being. The aim of this study is to identify framework of sensors and application health services to detect sources of stress and stressors and make them visible to users. Also, we aim at extracting relationship between event and sensor data in order to improve health behavior. Evaluation of the proposed framework model will be performed. Model is based on Internet of Things in eHealth and is going to aim to improve health behavior. Following the established pattern of behavior realized through wearable system users will be proposed a preventive actions model. Further, it will examine the impact of changing health behavior on habits, condition and attitudes in relation to well-being and prevention.


2018 ◽  
Author(s):  
Jenny M Groarke ◽  
Janice Richmond ◽  
Mary Grace Kelly ◽  
Jenny McSharry ◽  
AnnMarie Groarke ◽  
...  

BACKGROUND Cancer survivorship in Ireland is increasing in both frequency and longevity. However, a significant proportion of cancer survivors are overweight. This has negative implications for long-term health outcomes, including increased risk of subsequent and secondary cancers. There is a need to identify interventions, which can improve physical and psychological outcomes that are practical in modern oncology care. Mobile health (mHealth) interventions demonstrate potential for positive health behavior change, but there is little evidence for the efficacy of mobile technology to improve health outcomes in cancer survivors. OBJECTIVE This study aims to investigate whether a personalized mHealth self-management lifestyle program is acceptable to participants and can improve physical and psychological outcomes of a subgroup of cancer survivors with increased health risks related to lifestyle behaviors. METHODS A sample of 123 cancer survivors (body mass index >25 kg/m2) was randomly assigned to the control (n=61) or intervention (n=62) group. The intervention group attended a 4-hour tailored lifestyle information session with a physiotherapist, dietician, and clinical psychologist to support self-management of health behavior. Over the following 12 weeks, participants engaged in personalized goal setting to incrementally increase physical activity (with feedback and review of goals through short message service text messaging contact). Objective measures of health behavior (ie, physical activity) were collected using Fitbit (Fitbit, Inc). Data on anthropometric, physiological, dietary behavior, and psychological measures were collected at baseline (T0), 12 weeks (T1; intervention end), and 24 weeks (T2; follow-up). Semistructured interviews were conducted to explore the retrospective acceptability of the Moving On program from the perspective of the recipients. RESULTS This paper details the protocol for the Moving On study. The project was funded in August 2017. Enrolment started in December 2017. Data collection completed in September 2018. Data analysis is underway, and results are expected in winter 2019. CONCLUSIONS The results of this study will determine the efficacy and acceptability of an mHealth intervention using behavior change techniques to promote health behaviors that support physical health and well-being in cancer survivors and will therefore have implications for health care providers, patients, health psychologists, and technologists. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/13214


10.2196/13214 ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. e13214 ◽  
Author(s):  
Jenny M Groarke ◽  
Janice Richmond ◽  
Mary Grace Kelly ◽  
Jenny McSharry ◽  
AnnMarie Groarke ◽  
...  

Background Cancer survivorship in Ireland is increasing in both frequency and longevity. However, a significant proportion of cancer survivors are overweight. This has negative implications for long-term health outcomes, including increased risk of subsequent and secondary cancers. There is a need to identify interventions, which can improve physical and psychological outcomes that are practical in modern oncology care. Mobile health (mHealth) interventions demonstrate potential for positive health behavior change, but there is little evidence for the efficacy of mobile technology to improve health outcomes in cancer survivors. Objective This study aims to investigate whether a personalized mHealth self-management lifestyle program is acceptable to participants and can improve physical and psychological outcomes of a subgroup of cancer survivors with increased health risks related to lifestyle behaviors. Methods A sample of 123 cancer survivors (body mass index >25 kg/m2) was randomly assigned to the control (n=61) or intervention (n=62) group. The intervention group attended a 4-hour tailored lifestyle information session with a physiotherapist, dietician, and clinical psychologist to support self-management of health behavior. Over the following 12 weeks, participants engaged in personalized goal setting to incrementally increase physical activity (with feedback and review of goals through short message service text messaging contact). Objective measures of health behavior (ie, physical activity) were collected using Fitbit (Fitbit, Inc). Data on anthropometric, physiological, dietary behavior, and psychological measures were collected at baseline (T0), 12 weeks (T1; intervention end), and 24 weeks (T2; follow-up). Semistructured interviews were conducted to explore the retrospective acceptability of the Moving On program from the perspective of the recipients. Results This paper details the protocol for the Moving On study. The project was funded in August 2017. Enrolment started in December 2017. Data collection completed in September 2018. Data analysis is underway, and results are expected in winter 2019. Conclusions The results of this study will determine the efficacy and acceptability of an mHealth intervention using behavior change techniques to promote health behaviors that support physical health and well-being in cancer survivors and will therefore have implications for health care providers, patients, health psychologists, and technologists. International Registered Report Identifier (IRRID) DERR1-10.2196/13214


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