Abstract
Families have the potential to foster a healthy home environment aimed at reducing the risk of overweight and obesity. Establishing habits associated with reduced risk of obesity and overweight early in childhood can have lasting effects into adulthood. Nurse practitioners can encourage families to participate in healthy habits by addressing areas of growth for obesity prevention within the home. A review of the most recent literature, approximately over the past decade, was used to provide a consolidated source of reference for healthy home habits for the nurse practitioner. The search included terms such as “obesity,” “overweight,” “healthy habits,” “physical activity,” “obesogenic behaviors,” “family meals,” “screen time,” “depression,” “sugary beverages,” and “portion sizes.” The information was synthesized into three content areas: nutrition and consumption, patterns of activity, and stress within the home. Establishing healthy habits early in life can protect against the development of overweight and obesity. Nurse practitioners can serve a vital role in the prevention of pediatric, adolescent, and adult obesity. Equipped with the unique role of assisting those from a diverse patient base, nurse practitioners can inform patients how to improve healthy habits to decrease the likelihood of obesity or overweight. Encouraging behavior change related to the healthy habits associated with the prevention of overweight and obesity can have a long-term impact on the health of an entire family.
Keywords: Adult obesity, childhood obesity, family meals, fast food, healthy habits, healthy home habits, obesity prevention, physical activity, screen time, sleep
Obesity is quickly becoming a global epidemic (Chooi et al., 2019), with approximately two thirds of adults in the United States diagnosed with either overweight or obesity (Hales et al., 2017). Overweight and obesity are associated with a range of health complications: cardiovascular disease (CVD), type 2 diabetes, hypertension, respiratory problems, and depression (Jastreboff et al., 2019). Although obesity in the adult population is troubling, the rates of obesity in children and adolescents are even more concerning due to the potential health consequences faced earlier in life (Biro & Wien, 2010). Currently, data indicate that the prevalence of obesity in adolescents (ages 12–19), school-aged children (ages 6–11), and preschool children (ages 2–5) are at 20.6%, 18.4%, and 13.9%, respectively (Hales et al., 2017). Research has found that children with overweight or obesity are more likely to face overweight or obesity as adults (Biro & Wien, 2010). For this reason, it is critical that obesity prevention efforts include youth and their families.
Despite widespread knowledge of the negative health effects associated with obesity, there are few feasible and sustainable solutions to addressing obesity in the literature; however, family-centered interventions have shown promise (Berge & Everts, 2011). Although there are a variety of biopsychosocial factors that contribute to obesity (genetics, food desserts, stress, etc.), health behavior change can be a useful strategy for obesity prevention and intervention in the family context and home environment. As such, nurse practitioners (NPs) can play an important role in addressing the obesity crisis by educating and guiding families on how to make health-promoting changes in their households. The purpose of this article is to discuss recent literature related to healthy and unhealthy habits that NPs can discuss with their patients to begin the conversation related to obesity prevention.
Healthy home habits and obesity prevention in practice
There is a large body of research that suggests that increasing and maintaining healthy habits within the home can be a promising method for obesity prevention (Christofaro, et al., 2016; Hart et al., 2020; Malden et al., 2020; Pinho et al., 2017). Obesogenic behaviors often begin at an early age and can have a lasting impact on adult weight status and health (Faienza et al., 2020). When families engage in healthy home habits, positive consequences result for both adults and children within the home. These habits include adequate nutrition, reduced sugar, reduced fast food intake, recommended activity levels, and limited exposure to unhealthy stressors (i.e., positive family functioning; Haines et al., 2016; Mehdizadeh et al., 2020).
Nurse practitioners can play an essential role in facilitating healthy home habits by incorporating obesity management practices. Thompson et al. (2020) recommend health care providers first complete an assessment of family health habits and areas in need of improvement. Next, the NP must also assess the readiness of the individual and the family to learn; their motivation to change; what and how they need to learn; and prior experience with implementing new healthy habits. Ultimately, NPs can help the individual or family members establish realistic goals that can decrease the risk of obesity once they understand the importance of healthy home habits (Thompson et al., 2020).
Using a behavioral model or theoretical framework can provide NPs guidance in their real-world approach to obesity prevention efforts (Al-Lami et al., 2020). Patients who see an NP in a clinical setting are likely already aware of the benefits of eating nutritious foods daily, engaging in physical activity regularly, and reducing stress in the home. However, implementing and sustaining behavior change is often difficult and involves developing a “new normal” lifestyle. When working with patients and families, we suggest using the Fogg Behavior Model for incorporating behavior change through the use of persuasive technology. The Fogg Behavior Model suggests that there are three conditions that must be met for behavior change to occur: motivation, ability, and prompts. The patient or family must first be motivated to change, develop the skills or ability to make behavioral changes, and be willing to receive reminders (prompts) to perform the new healthy behaviors (Fogg, 2020; Fogg & Euchner, 2019; Toledo et al., 2018). Nurse practitioners can provide education on how to implement healthy behaviors, provide recommendations for addressing barriers, and use brief motivational interviewing techniques to help facilitate behavior change (Östlund et al., 2015). Of course, the NP must also be willing, interested, and committed and have the time to incorporate a regular structured visit for the patient and their family to manage the progress of their healthy home habits.
Obesity intervention and prevention efforts that focus on assisting patients and their families with developing healthier home habits that have the potential to not only create positive health behavior change among adults but also model, teach, and reinforce healthy habits for youth. The following sections will detail three main areas of concern for addressing obesity prevention within the family and home environment: Nutrition and consumption, patterns of activity, and stress within the home. Taking the first steps to discuss the topic of weight with a patient can be difficult for even the most experienced NP. Therefore, a comprehensive guide on weight discussions with patients is now available from the Centers for Disease Control and Prevention (CDC) (see Table 1 for a link to this resource).
Table 1.
Resources for nutrition and consumption
Within each section, the authors will provide recommendations for NPs to include in their discussions with patients.
Nutrition and consumption
Home food environment
Parents serve a vital role in what a child consumes within the home, particularly snack consumption (Blaine et al., 2017; van Grieken et al., 2019). Therefore, the foods that are available in the home environment become the foods that children learn to prefer (Loth et al., 2020). Various contextual factors may affect the types of food that are available in the home, such as culture and socioeconomic class. However, on the individual level, parental knowledge of nutrition can positively or negatively affect the choices of food they provide for their children. Children often look to parents as role models, which can also influence the foods they eat as they move into adolescence and then into adulthood (Yee et al., 2017). A study by Bleiweiss-Sande et al. (2020) examined diet quality and weight status in low-income children ages 8–12 years old. These researchers found that a higher intake of processed foods was not related to weight status but was related to lower dietary quality. Although this may seem intuitive to those who have higher incomes and current knowledge of proper nutrition, there are many factors to consider when a low-income family is purchasing food to economically feed their family (Robson et al., 2020).
During a routine visit, NPs can play a critical role by educating families on the importance of strategically stocking their home with healthy food, collaboratively identifying feasible changes, and providing resources, such as a list of affordable nutrient-rich foods (Drewnowski, 2013). To promote healthy eating habits, identifying attainable changes requires setting goals that take into account the patient’s circumstance and context. For example, if a patient often brings home fast food for their family due to financial and time constraints, it may be more practical for the NP to educate the patient on how to make healthier choices from the menu and provide them with a simplified interpretive nutrition guide, which is an evidence-based method for improving food choices (Wright & Bragge, 2018). Family members will eat what is available. Therefore, ensuring that healthier foods are in the home is an essential step in obesity prevention (Table 1).
Family meals
Researchers found that among children, the frequency of family meals was positively associated with healthy nutritional intake and inversely associated with sodas and high-fat consumption (Fulkerson et al., 2014). Furthermore, Magriplis et al. (2019) and Mak et al. (2012) identified that when school-aged children participate in family meals, especially without television, there were healthier dietary patterns. These patterns included a lowered intake of processed foods, sugary beverages, and fast foods, along with higher consumption of fruits, vegetables, and whole grains. Other researchers identify that adolescents who participate in family meals report a more nutritious dietary intake (Overcash et al., 2020). Frequent family meals play an essential role in the dietary and behavioral well-being of children and youth. Therefore, it is recommended that NPs encourage patients and families to set goals related to increasing family meals.
The importance of breakfast
Skipping breakfast has been shown to lead to increased weight gain, abdominal obesity, sugar intake, and higher body mass index (BMI) in children (Kesztyüs et al., 2015; Ramsay et al., 2018; Traub et al., 2018). Furthermore, children who eat breakfast have been shown to consume fewer calories throughout the day compared with those who did not eat breakfast (CDC, 2019a; Ramsay et al., 2018). In some cases, skipping breakfast leads to increased screen time, which contributes to increased intake of nonhealthy snacks and soft drinks and is associated with childhood obesity (de la Hunty et al., 2013; Kesztyüs et al., 2015; Ramsay et al., 2018; Rosiek et al., 2015).
It is essential that we help children create healthy habits around eating a nutritious breakfast because children who skip breakfast are likely to continue this habit into adulthood (Bian & Markman, 2020; Pedersen et al., 2013). The persistence of this behavior throughout adolescence and adulthood has been associated with increased risk of obesity and subsequent health complications (i.e., type 2 diabetes and CVD (Ballon et al., 2019; Ofori-Asenso et al., 2019). Research studies show that skipping breakfast as an adult is associated with increased BMI and increased waist circumference, and it inhibits the ability to lose weight (Megson et al., 2017; Watanabe et al., 2014; Xiao et al., 2019). It is important for NPs to assess breakfast habits and communicate the importance of healthy habits.
Avoiding sugary beverages
Added sugars found in beverages have been linked to weight gain, overweight, and obesity in adults and children (CDC, 2019b; Malik et al., 2013). Sugary beverages include soft drinks, energy drinks, flavored waters, and fruit drinks. The World Health Organization (WHO, 2015) suggests that children and adults should limit their sugar intake to less than 10% of their total energy intake. For children, this represents consuming 4–6 ounces per day for those between the ages of 1–6 and 8–12 ounces per day for those between the ages of 7–18. Both the WHO (2015) and the U.S. Health and Human Services Dietary Guidelines Advisory Committee (2015) suggest that limiting sugar to less than 5% of energy intake can aid in the risk reduction of developing diseases, particularly, overweight and obesity (Liu et al., 2020; WHO, 2015). However, young children have been shown to consume almost 50% of their added sugars from sugary drinks daily (Harris et al., 2020).
Avoidance of fast food
Fast food is sometimes preferred due to its low cost and easy access. Yet, fast food consumption is consistently linked to an increased risk of obesity in children and adults (An, 2016; Newman et al., 2014). Results from the 2003–2010 Centers for Disease Control National Health and Nutrition Examination Survey indicate that 32.2% of adults reported consuming fast food, and 26% reported consuming food at a full-service restaurant (CDC, 2017). Ultimately, fast food and full-service restaurant food intake resulted in a substantial increase in calories and fat, which could potentially be linked to increased risk for weight gain and the complications associated with weight gain, such as obesity or diabetes. In another study with the WHO, Global School-based Student Health Survey (WHO, n.d.) researchers collected data for 7 days related to fast food consumption in 26 different countries from low income, middle, upper middle, and high income. These researchers found that when controlling for sex, age, food security, alcohol, smoking, physical activity, obesity, soft drinks, as well as fruit and vegetable consumption, fast food consumption was high (53%). Sadly, suicide attempts were higher in those who consumed fast food more so than those who did not consume fast food (11.8–8.3%; Jacob et al., 2020). A Canadian study found that in young adults ages 16–30 years, consumption of fast food varied from 0 to 16 fast food meals in a week (mean = 2.1). Of interest, these researchers used smart phone software to examine the number of fast food places that were within a short distance of the young adults home (500, 1,000, and 1,500 m), and not surprising, they found that those who had more fast food places nearby spent more time in those locations eating fast food (Liu et al., 2020).
Patterns of activity
Physical activity
Physical inactivity is one of the primary underpinnings for the development of obesity’s comorbid conditions. Physical activity not only reduces a person’s risk of numerous diseases but also some of the health benefits of exercise can even be observed immediately after a single session (Colberg et al., 2016; Katzmarzyk et al., 2019; King et al., 2020; Piercy et al., 2018; U.S. Department of Health and Human Services, 2018). Benefits include improved weight status, improved cardiometabolic health, and lower risk of hypertension and anxiety. Not only does physical activity provide benefits for the heart and muscles but also it reduces numerous types of cancer (i.e., colon and breast cancer; McTiernan et al., 2019).
An emphasis on physical activity for children and adolescents should focus on promoting positive lifestyle choices and habits. In addition to keeping children active for their acute cardiometabolic health, another goal should be to promote long-term physical activity habits instead of simply developing sports skills (Farooq et al., 2020). This focus will lead to greater inclusion and more success in promoting physical activity in the future (Table 2).
Table 2.
Resources for activity
Sedentary behavior
Not only does a sedentary lifestyle promote obesity and development of comorbid conditions because of the lack of physical activity, but even the accumulation of prolonged sedentary activities (e.g., sitting) has been shown to increase a person’s risk profile. This is a very significant problem in the modern workplace and with the over-abundance of sedentary forms of entertainment and leisure. Although prolonged sitting is often associated with excessive screen time, the obesity-related impacts go well beyond the screen and even the scale. Specifically, longer periods of sedentary behavior are associated with an increased risk of all-cause mortality, CVD, CVD mortality, type 2 diabetes, and certain cancers such as colon, endometrial, and lung (Matthews et al., 2015; U.S. Department of Health and Human Services, 2018).
Sedentary time in children and adolescents is typically associated with either screen time or sitting for long periods at school. Both fronts need to be addressed to effectively interrupt sedentary behaviors in these settings: If children are using an electronic device, then set a timer for how long they may use the device, and have a plan to incorporate some physical activity when their screen time is over. It may be helpful to encourage children and adolescents to include activity during breaks at school (Carlson et al., 2015).
Screen time
Large amounts of time spent viewing screens such as watching television, playing video games, or using a mobile phone is a recognized risk factor for obesity (Adams et al., 2018; Domoff et al., 2020; Haines et al., 2016). In a systematic review examining variables correlated with high screen time use among infants and toddlers, researchers found that high screen time exposure has been significantly positively related to a child having a higher-than-normal range BMI (Duch et al., 2013). Excessive screen time has been associated with a range of adverse physical and behavioral health correlates, including high BMI, sleep deprivation, poor academic performance (Crowe et al., 2020; Duch et al., 2013), externalizing and internalizing behavior, and inattention problems (Tamana et al., 2019).
The American Academy of Pediatrics (AAP, 2018) recommends caregivers of children ages 2–5 years to limit screen time to one hour per day of high-quality programs, and children of years 6 and older be limited to two hours of screen time per day. However, screen time exposure averaged 3.6 hours per weekday in a nationally representative sample of 8,950 preschool-aged children (Tandon et al., 2011). The AAP Council on Communication and Media (2018) also suggests that caregivers develop a media-use plan that includes screen time rules such as restricting screen time for children younger than 18 months to only video chatting and viewing high-quality programs and also limiting screen time to periods excluding mealtimes and before sleep. Parental restriction of child television viewing may lead to less screen use among children; however, Lampard et al. (2013) found that approximately one third of parents have no rules for television viewing for preschool children. Moreover, parents’ knowledge and beliefs about the health consequences of screen time were not related to restricting child screen time (Maddison et al., 2014; Militello et al., 2016). However, parental monitoring and limiting of child screen time were inversely associated with child screen viewing. Parental screen viewing time was also positively associated with child viewing time (Tang et al., 2018). Therefore, identifying barriers to monitoring screen time and teaching parents of preschool children to limit screen time may be necessary to emphasize.
Sleep
According to the American Academy of Pediatrics (2019), infants aged 4–12 months should sleep 12–16 hours in 24 hours, including naps. Children aged 1 to 2 should obtain 11–14 hours of sleep within 24 hours, including naps. Children aged 3–5 years of age should obtain 10–13 hours of sleep in 24 hours, including naps. Children aged 6–12 years of age should obtain 9–12 hours of sleep. Adolescents aged 13 to 18 years should sleep 8–10 hours per night. Getting inadequate sleep relates to other health habits within the home. For example, Garmy et al. (2018) found that children in Southern Sweden, ages 10 and 11 years who slept less than recommended amounts were more likely to have overweight and report more television and computer screen time. Furthermore, researchers also found that poor quality of sleep and diet occurs in families with low income. This information is essential to note because individuals with low income also have lower levels of physical activity and are more likely to consume fast food, both of which contribute to higher rates of obesity (Yu et al., 2020).
Inconsistencies in sleep between the weekday and weekend, as well as extended sleep patterns during weekends, was associated with lower intake of healthy foods (i.e., vegetables) and higher intake of obesogenic foods (i.e., processed and fried foods; Jansen et al., 2019). It is not uncommon for school-age children to use televisions and other screen-based media as sleep aids, but these devices may have adverse effects on sleep, such as increased time to fall asleep and shorter sleep duration (Garmy et al., 2018). Good sleep habits may be especially important to establish at a young age. Longitudinal studies have found that children’s sleep behaviors at 4 years persisted 2 years later (Koulouglioti et al., 2014).
Regular amounts of sleep, as well as a daily routine for bedtime, are paramount for the overall health of children, adolescents, and adults (Caldwell et al., 2020; Illingworth, 2020; Schoeppe et al., 2016). Identifying the practices of sleep habits among children and the perceptions parents may have that their child meets the recommended child sleep duration may be necessary. Exploring ways in which caregivers may reduce screen time before bed or regulate bed and wake-times throughout the week is essential for increasing healthy sleep habits among children (Ramsey Buchanan et al., 2016).
Stress within the home
Healthy, happy home environment
When investigating the terms healthy happy home, it is difficult to find one piece of literature that describes all the features that create such a place. However, the following is a list of common words that individuals use to describe a healthy, happy home: warmth (Guttentag et al., 2014), love and acceptance (Orri et al., 2019), comfort, quiet, organized (nonchaotic; Vernon-Feagans et al., 2016), personalized, loving, peaceful, and relaxing (not stressful; East et al., 2019). In a study, Guttentag et al. (2014) found that in homes where the environment had higher maternal warmth that children showed more engagement, better language skills, and enhanced social engagement. Haines et al. (2013) conducted a randomized clinical trial where several interventions were conducted with families related to four regular routines, including family meals, adequate sleep, limiting television, and prohibiting TV in a child’s bedroom. Over 6 months, the intervention participants had increased sleep (0.75 hour/day), decreased TV on weekend days (−1.06 hours), and reduced body mass index (−0.40; Haines et al., 2013).
Although physical health, nutrition, and exercise are paramount in a healthy, happy home, the effect of the home environment can be just as crucial for shaping the brain and development in children and maintaining a daily peaceful life for adults (Vernon-Feagans et al., 2016). The National Academies Press (2019)—Fostering Healthy Mental and Emotional Development in Children and Youth—discusses the importance of addressing mental, emotional, and behavioral health. Providing parental education opportunities so that they understand the keys to helping their family to feel comfortable, loved, secure, and able to grow in a safe environment may potentially change the trajectory of a child, adolescent, and a young adult’s life. Simple strategies such as talking to parents about how to promote a healthy home with ideas for bonding and creating an uplifting, loving home can be encouraged. Teaching children and parents about mindfulness, the importance of meaningful verbal communication, and practical, gentle discipline and the significance of tobacco, alcohol, and drug-free homes may decrease the unfavorable living conditions, which may include violence, lack of regular housing, or unemployment (National Academies Press, 2019).
When considering the current obesity epidemic in the United States and multiple countries across the globe, research indicates that it is crucial to have a healthy lifestyle that includes the whole family. Suggestions, including bringing lunches from home to work or school and being physically active can help to decrease the trajectory of an increasing BMI. Also, reducing alcohol intake in the house, limiting eating outside of the home, and decreasing work stress may influence weight. This concept used by the researcher was called “health identity” (Sharman et al., 2019).
Decreasing stress
There has been growing evidence documenting the link between family-related stressors and obesity. Stressors inside and outside of the home include financial strain, job-related dissatisfaction or discrimination, marital discourse, adversity among children and parents, and neighborhood and environmental stressors such as the location of residence and community safety factors (Cuevas et al., 2020). When considering children diagnosed with obesity, it is essential to examine not only the child but also the childhood home experiences. In a study of 9- to 11-year old children, Ronan et al. (2020) found that childhood obesity is associated with compromised executive function. After controlling for age, sex, race, parental income, and birth weight, researchers found that children with obesity have changes in their prefrontal cortex, which could affect making healthy choices.
Furthermore, adolescents (aged, 12–17 years) who have obesity and overweight report households in which parents experienced more significant mental and physical health issues and financial strain. The home environment plays a vital role in shaping children’s eating and physical activity behaviors (Gauthier & Krajicek, 2013). Lakerveld and Mackenbach (2017) reflect on the upstream and downstream determinates of obesogenic behaviors. For example, the neighborhood a family lives in may determine which type of physical activity they participate in and the type of food that is available to purchase. Therefore, many factors should be considered before making recommendations to patients or caregivers based on where they live, the amount of income available, the level of education, and the relationship of trust formed with the NP as a provider (Lakerveld & Mackenbach, 2017). Indeed, Parks et al. (2016) found that multiple parent stressors were related to increased child fast food consumption. Within the home environment, socioeconomic factors play a role in promoting or abating healthy habits.
Of course, home habits do not occur without influence from larger macro environments (e.g., culture, school programs, and community accessibility of recreational facilities) (Gubbels, 2020). Despite these environmental, financial, and educational influences, parents may be able to serve as a protective factor for stress that occurs within the home. For instance, one researcher found that family closeness was negatively associated with overweight in children (Fiese & Bost, 2016). Decreasing stress in the home can be challenging; however, efforts to do so may have a significant impact on child overweight and obesity status (Doom et al., 2020). An NP might consider encouraging family closeness by suggesting family discussions, family walks, or family meals. No household will be the same; therefore, clinicians must consider their patient’s situation when providing suggestions about the healthy habits a family should adopt (Table 3).
Table 3.
Resources for decreasing stress in the home
Location of Resource | Title of Resource |
---|---|
American Academy of Pediatrics | Healthychildren.org—Helping Children Handle Stress: https://www.healthychildren.org/English/healthy-living/emotional-wellness/Pages/Helping-Children-Handle-Stress.aspx |
American Heart Association | Learn to Manage YourStress: https://www.heart.org/en/healthy-living/healthy-lifestyle/stress-management |
Centers for Disease Control and Prevention | Violence Prevention and Coping with Stress: https://www.cdc.gov/violenceprevention/suicide/copingwith-stresstips.html |
National Institute of Mental Health | 5 Things You Should Know About Stress: https://www.nimh.nih.gov/health/publications/stress/index.shtml |
Parents | Coping with Child Stress: https://www.parents.com/kids/education/tests/coping-with-child-stress/ |
U. S. Department of Health and Human Services | MyHealthfinder—Manage Stress: https://health.gov/myhealthfinder/topics/health-conditions/heart-health/manage-stress#panel-4 |
Addressing potential challenges in practice
It is important to acknowledge that in the context of the real-world demands of clinical settings, in some cases, it may be challenging for NPs to assess health habits and incorporate new interventions. Making such changes to clinical practice may require scheduling extended appointments, scheduling more regular follow-up appointments, or using a brief behavior change tool, such as the 5 As of obesity management, which provides an efficient, easy-to-remember guideline for assessing weight management behaviors and setting goals (Bernard-Genest et al., 2020). Furthermore, it may be helpful for treatment teams to gather informational resources to share with their patients to further reinforce the health home habits discussed during their appointment (Hyer & Edwards, 2020; Mueller, 2020). For patients with access, persuasive technology, such as evidence-based mhealth phone apps, can be used to provide ongoing support and reminders for tracking daily nutrition, maintaining regular physical activity, and practicing stress reduction techniques.
Conclusion
As the obesity epidemic continues to increase in the United States among children, adolescents, and adults, NPs must act and engage in necessary prevention and intervention discussions with patients to decrease the risk of obesity and concurring obesity-related diseases. Nurse practitioners can be at the forefront of this charge because they continue to treat clients in a variety of different settings. As our lifestyles continue to evolve, we must encourage healthy home habits and environments to create sustainable, positive, lifestyle behaviors. This review highlighted several key areas that will assist with obesity prevention. Nurse practitioners can use these recommendations to guide them in professional practice and work toward helping families create a healthier, happier future.
Footnotes
Competing interests: The authors report no conflicts of interest.
References
- Adams AK, Tomayko EJ, Cronin KA, Prince RJ, Kyungmann K, Carmichael L, & Parker T (2018). Predictors of overweight and obesity in American Indian families with young children. Journal of Nutrition Education and Behavior, 51, 190–198. 10.1016/j.jneb.2018.07.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Al-Lami N, Sear K, Dai W, & Chen J-L (2020). Obesity applications in smartphones: Development and use of an evaluation tool. Journal of Pediatric Health Care, 34, 377–382. 10.1016/j.pedhc.2020.03.001. [DOI] [PubMed] [Google Scholar]
- American Academy of Pediatrics. (2018). Children and media tips from the American Academy of Pediatrics. https://www.aap.org/en-us/about-the-aap/aap-press room/news-features-and-safety-tips/Pages/Children-and-Media-Tips.aspx.
- American Academy of Pediatrics. (2019). Childhood sleep guidelines. https://www.aap.org/enus/about-the-aap/aap-press-room/Pages/American-Academy-of Pediatrics-Supports-Childhood-Sleep-Guidelines.aspx.
- American Academy of Pediatrics Council on Communications and Media. (2018). Media use in school-aged children and adolescents. Pediatrics, 138, e20162592. 10.1542/peds.2016-2592. [DOI] [PubMed] [Google Scholar]
- An R (2016). Fast-food and full-service restaurant consumption and daily energy and nutrient intakes in US adults. European Journal of Clinical Nutrition, 70, 97–103. 10.1038/ejcn.2015.104. [DOI] [PubMed] [Google Scholar]
- Ballon A, Neuenschwander M, & Schlesinger S (2019). Breakfast skipping is associated with increased risk of type 2 diabetes among adults: A systematic review and meta-analysis of prospective cohort studies. The Journal of Nutrition, 149, 106–113. 10.1093/jn/nxy194. [DOI] [PubMed] [Google Scholar]
- Berge JM, & Everts JC (2011). Family-based interventions targeting childhood obesity: A meta-analysis. Childhood Obesity, 7, 110–121. 10.1089/chi.2011.07.02.1004.berge. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bernard-Genest J, Chu L, Dettmer E, Walsh CM, McPherson AC, Strub J, Steinberg A, Steinegger C, & Hamilton JK (2020). Talking about weight with families—Helping health care professionals start the conversation: A nonrandomized controlled trial. Clinical Pediatrics, 59, 910–917. [DOI] [PubMed] [Google Scholar]
- Bian L, & Markman EM (2020). What should we eat for breakfast? American and Chinese children’s prescriptive judgments about breakfast foods. Cognitive Development, 54, 100873. 10.1016/j.cogdev.2020.100873. [DOI] [Google Scholar]
- Biro FM, & Wien M (2010). Childhood obesity and adult morbidities. The American Journal of Clinical Nutrition, 91, 1499S–1505S. 10.3945/ajcn.2010.28701B. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Blaine RE, Kachurak A, Davison KK, Klabunde R, & Fisher JO (2017). Food parenting and child snacking: A systematic review. International Journal of Behavioral Nutrition and Physical Activity, 14, 146. 10.1186/s12966-017-0593-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bleiweiss-Sande R, Sacheck JM, Chui K, Goldberg JP, Bailey C, & Evans EW (2020). Processed food consumption is associated with diet quality, but not weight status, in a sample of low-income and ethnically diverse elementary school children. Appetite, 15, 1–8. 10.1016/j.appet.2020.104696. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Caldwell BA, Ordway MR, Sadler LS, & Redeker NS (2020). Parent perspectives on sleep and sleep habits among young children living with economic adversity. Journal of Pediatric Health Care, 34, 10–22. 10.1016/j.pedhc.2019.06.006. [DOI] [PubMed] [Google Scholar]
- Carlson JA, Engelberg JK, Cain KL, Conway TL, Mignano AM, Bonilla EA, Geremia C, & Sallis JF (2015). Implementing classroom physical activity breaks: Associations with student physical activity and classroom behavior. Preventive Medicine, 81, 67–72. 10.1016/j.ypmed.2015.08.006. [DOI] [PubMed] [Google Scholar]
- Center for Disease Control and Prevention. (2017). National Health and Nutrition Examination Survey (NHANES). https://www.cdc.gov/nchs/nhanes/aboutnhanes.htm.
- Centers for Disease Control and Prevention. (2019a). Know your limit for added sugars. https://www.cdc.gov/nutrition/data-statistics/know-your-limit-for-added-sugars.html.
- Centers for Disease Control and Prevention. (2019b). MEC In-Person, Dietary Interviewers Procedures Manual. https://wwwn.cdc.gov/nchs/data/nhanes/2019-2020/manuals/2019-MEC-In-Person-Dietary-Interviewers-Manual-508.pdf.
- Chooi YC, Ding C, & Magkos F (2019). The epidemiology of obesity. Metabolism, 92, 6–10. 10.1016/j.metabol.2018.09.005. [DOI] [PubMed] [Google Scholar]
- Christofaro DGD, De Andrade SM, Mesas AE, Fernandes RA, & Farias Júnior JC (2016). Higher screen time is associated with overweight, poor dietary habits and physical inactivity in Brazilian adolescents, mainly among girls. European Journal of Sport Science, 16, 498–506. 10.1080/17461391.2015.1068868. [DOI] [PubMed] [Google Scholar]
- Colberg SR, Sigal RJ, Yardley JE, Riddell MC, Dunstan DW, Dempsey PC, Horton ES, Castorino K, & Tate DF (2016). Physical activity/exercise and diabetes: A position statement of the American Diabetes Association. Diabetes Care, 39, 2065–2079. 10.2337/dc161728. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Crowe M, Sampasa-Kanyinga H, Saunders TJ, Hamilton HA, Benchimol EI, & Chaput J-P (2020). Combinations of physical activity and screen time recommendations and their association with overweight/obesity in adolescents. Canadian Journal of Public Health, 111, 515–522. 10.17269/s41997-020-00313-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cuevas AG, Chen R, Slopen N, Thurber KA, Wilson N, Economos C, & Williams DR (2020). Assessing the role of health behaviors, socioeconomic status, and cumulative stress for racial/ethnic disparities in obesity. Obesity, 28, 161–170. 10.1002/oby.22648. [DOI] [PMC free article] [PubMed] [Google Scholar]
- de la Hunty A, Gibson S, & Ashwell M (2013). Does regular breakfast cereal consumption help children and adolescents stay slimmer? A systematic review and meta-analysis. Obesity Facts, 6, 70–85. 10.1159/000348878. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Domoff SE, Borgen AL, & Robinson C (2020). Problematic use of screen media and mobile devices. In Knox M (Ed.), Clinicians toolkit for children’s behavioral health (pp. 175–198). Elsevier Inc. 10.1016/C2017-0-03854-5. [DOI] [Google Scholar]
- Doom JR, Lumeng JC, Sturza J, Kaciroti N, Vazquez DM, & Miller AL (2020). Longitudinal associations between overweight/obesity and stress biology in low-income children. International Journal of Obesity, 44, 646–655. 10.1038/s41366-019-0447-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Drewnowski A (2013). New metrics of affordable nutrition: Which vegetables provide most nutrients for least cost. Journal of the American Academy of Nutrition and Dietetics, 113, 1182–1187. 10.1016/j.jand.2013.03.015. [DOI] [PubMed] [Google Scholar]
- Duch H, Fisher EM, Ensari I, & Harrington A (2013). Screen time use in children under 3 years old: A systematic review of correlates. International Journal of Behavioral Nutrition and Physical Activity, 10, 102. 10.1186/1479-5868-10-102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- East P, Delker E, Blanco E, Burrows R, Lozoff B, & Gahagan S (2019). Home and family environment related to development of obesity: A 21-year longitudinal study. Childhood Obesity, 15, 156–166. 10.1089/chi.2018.0222. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Faienza MF, Chiarito M, Molina-Molina E, Shanmugam H, Lammert F, Krawczyk M, D’Amato G, & Porticincasa P (2020). Childhood obesity, cardiovascular, and liver health: A growing epidemic with age. World Journal of Pediatrics 16, 438–445. 10.1007/s12519-020-00341-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Farooq A, Martin A, Janssen X, Wilson MG, Gibson A, Hughes A, & Reilly JJ (2020). Longitudinal changes in moderate‐to‐vigorous‐ intensity physical activity in children and adolescents: A systematic review and meta‐analysis. Obesity Reviews, 21, e12953. 10.1111/obr.12953. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fiese BH, & Bost KK (2016). Family ecologies and child risk for obesity: Focus on regulatory processes: Family ecologies and child risk for obesity. Family Relations, 65, 94–107. 10.1111/fare.12170. [DOI] [Google Scholar]
- Fogg BJ, & Euchner J (2019). Designing for behavior change—New models and moral Issues: An interview with B.J. Fogg. Research-Technology Management, 62, 14–19. 10.1080/08956308.2019.1638490. [DOI] [Google Scholar]
- Fogg BJ (2020). Tiny habits: The small changes that change everything. Houghton Mifflin Harcourt Publishing. [Google Scholar]
- Fulkerson JA, Neumark-Sztainer D, Story M, Gurvich O, Kubik MY, Garwick A, & Dudovitz B (2014). The healthy home offerings via the mealtime environment (HOME) plus study: Design and methods. Contemporary Clinical Trials, 38, 59–68. 10.1016/j.cct.2014.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Garmy P, Clausson EK, Nyberg P, & Jakobsson U (2018). Insufficient sleep is associated with obesity and excessive screen time amongst ten-year-old children in Sweden. Journal of Pediatric Nursing, 39, e1–e5. 10.1016/j.pedn.2017.11.009. [DOI] [PubMed] [Google Scholar]
- Gauthier KI, & Krajicek MJ (2013). Obesogenic environment: A concept analysis and pediatric perspective: Obesogenic environment: A concept analysis and pediatric perspective. Journal for Specialists in Pediatric Nursing, 18, 202–210. 10.1111/jspn.12027. [DOI] [PubMed] [Google Scholar]
- Gubbels JS (2020). Environmental influences on dietary intake of children and adolescents. Nutrients, 12, 922. 10.3390/nu12040922. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guttentag CL, Landry SH, Williams JM, Baggett KM, Noria CW, Borkowski JG,Swank PR, Farris JR, Crawford A, Lanzi RG, Carta JJ, Warren SF, & Ramey SL (2014). “My baby & me”: Effects of an early, comprehensive parenting intervention on at-risk mothers and their children. Developmental Psychology, 50, 1482–1496. 10.1037/a0035682. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Haines J, McDonald J, O’Brien A, Sherry B, Bottino CJ, Schmidt ME, & Taveras EM. (2013). Healthy habits, happy homes: Randomized trial to improve household routines for obesity prevention among preschool-aged children. JAMA Pediatrics, 167(11), 1072. 10.1001/jamapediatrics.2013.2356. [DOI] [PubMed] [Google Scholar]
- Haines J, Rifas-Shiman SL, Horton NJ, Kleinman K, Bauer KW, Davison KK, Walton K, Austin SB, Field AE, & Gillman MW (2016). Family functioning and quality of parent-adolescent relationship: Cross-sectional associations with adolescent weight-related behaviors and weight status. International Journal of Behavioral Nutrition & Physical Activity, 13, 1–12. 10.1186/s12966-016-0393-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hales CM, Carroll MD, Fryar CD, & Ogden CL (2017). Prevalence of obesity among adults and youth: United States, 2015–2016. National Center for Health Statistics (NCHS) Data Brief, 288, 8. https://www.cdc.gov/nchs/data/databriefs/db288_table.pdf#1. [PubMed] [Google Scholar]
- Harris JL, Webb V, J Sacco S, & L Pomeranz J (2020). Marketing to children in supermarkets: An opportunity for public policy to improve children’s diets. International Journal of Environmental Research and Public Health, 17, 1284. 10.3390/ijerph17041284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hart CN, Jelalian E, & Raynor HA (2020). Behavioral and social routines and biological rhythms in prevention and treatment of pediatric obesity. American Psychologist, 75, 152–162. 10.1037/amp0000599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hyer S, & Edwards J (2020). Weight management practices among Florida nurse practitioners: A cross-sectional study. The Journal for Nurse Practitioners, 16, 131–135. 10.1016/j.nurpra.2019.10.025. [DOI] [Google Scholar]
- Illingworth G (2020). The challenges of adolescent sleep. Interface Focus, 10, 1–8. 10.1098/rsfs.2019.0080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jansen EC, Peterson KE, Lumeng JC, Kaciroti N, LeBourgeois MK, Chen K, & Miller AL (2019). Associations between sleep and dietary patterns among low-income children attending preschool. Journal of the Academy of Nutrition and Dietetics, 119, 1176–1187. 10.1016/j.jand.2019.01.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jacob L, Stubbs B, Firth J, Smith L, Haro JM, & Koyanagi A (2020). Fast food consumption and suicide attempts among adolescents aged 12–15 years from 32 countries. Journal of Affective Disorders, 266, 63–70. [DOI] [PubMed] [Google Scholar]
- Jastreboff AM, Kotz CM, Kahan S, Kelly AS, & Heymsfield SB (2019). Obesity as a disease: The Obesity Society 2018 position statement. Obesity, 27, 7–9. 10.1002/oby.22378. [DOI] [PubMed] [Google Scholar]
- Katzmarzyk PT, Powell KE, Jakicic JM, Troiano RP, Piercy K, & Tennant B (2019). Sedentary behavior and health: Update from the 2018 Physical Activity Guidelines Advisory Committee. Medicine and Science in Sports and Exercise, 51, 1227–1241. 10.1249/MSS.0000000000001935. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kesztyüs D, Traub M, Lauer R, Kesztyüs T, & Steinacker JM (2015). Correlates of longitudinal changes in the waist-to-height ratio of primary school children: Implications for prevention. Preventive Medicine Reports, 3, 1–6. 10.1016/j.pmedr.2015.11.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- King N, Pickett W, McNevin SH, Bowie CR, Rivera D, Keown-Stoneman C, Harkness K, Cunningham S, Milanovic M, Saunders KEA, Goodday S, Duffy A, & on behalf of the U-Flourish Student Well-Being and Academic Success Research Group. (2020). Mental health need of students at entry to university: Baseline findings from the U-Flourish Student Well‐Being and Academic Success Study. Early Intervention in Psychiatry. 10.1111/eip.12939. [DOI] [PubMed] [Google Scholar]
- Koulouglioti C, Cole R, Moskow M, McQuillan B, Carno M-A, & Grape A (2014). Thelongitudinal association of young children’s everyday routines to sleep duration. Journal of Pediatric Health Care, 28, 80–87. 10.1016/j.pedhc.2012.12.006. [DOI] [PubMed] [Google Scholar]
- Lakerveld J, & Mackenbach J (2017). The upstream determinants of adult obesity. Obesity Facts, 10, 216–222. 10.1159/000471489. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lampard AM, Jurkowski JM, & Davison KK (2013). Social–cognitive predictors of low-income parents’ restriction of screen time among preschool-aged children. Health Education & Behavior, 40, 526–530. 10.1177/1090198112467800. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu B, Widener M, Burgoine T, & Hammond D (2020). Association between time-weighted activity space-based exposures to fast food outlets and fast food consumption among young adults in urban Canada. International Journal of Behavioral Nutrition and Physical Activity, 17, 62. 10.1186/s12966-020-00967-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Loth KA, Tate AD, Trofholz A, Fisher JO, Miller L, Neumark-Sztainer D, & Berge JM (2020). Ecological momentary assessment of the snacking environments of children from racially/ethnically diverse households. Appetite, 145, 104497. 10.1016/j.appet.2019.104497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maddison R, Marsh S, Foley L, Epstein LH, Olds T, Dewes O, Heke I, Carter K, Jiang Y, & Mhurchu CN (2014). Screen-time weight-loss intervention targeting children at home (SWITCH): A randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity, 11, 111. 10.1186/s12966-014-0111-20111-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Magriplis E, Farajian P, Panagiotakos DB, Rivas G, & Zampelas A (2019). The relationship between behavioral factors, weight status, and a dietary pattern in primary school aged children: The GRECO study. Clinical Nutrition, 38, 310–316. 10.1016/j.clnu.2018.01.015. [DOI] [PubMed] [Google Scholar]
- Mak TN, Prynne CJ, Cole D, Fitt E, Roberts C, Bates B, & Stephen AM, (2012). Assessing eating context and fruit and vegetable consumption in children: New methods using food diaries in the UK National Diet and Nutrition Survey Rolling Programme. International Journal of Behavioral Nutrition and Physical Activity, 9, 126. 10.1186/1479-5868-9-126. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Malden S, Reilly J, Gibson A-M, Bardid F, & Hughes A (2020). Procedures and challenges of adapting an existing public health intervention for use in another setting: The ToyBox-Scotland preschool obesity prevention program. SAGE Publications Ltd. 10.4135/9781529724547. [DOI] [Google Scholar]
- Malik VS, Pan A, Willett WC, & Hu FB (2013). Sugar-sweetened beverages and weight gain in children and adults: A systematic review and meta-analysis. The American Journal of Clinical Nutrition, 98, 1084–1102. 10.3945/ajcn.113.058362. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Matthews CE, Moore SC, Sampson J, Blair A, Xiao Q, Keadle SK, Hollenbeck A, & Park Y (2015). Mortality benefits for replacing sitting time with different physical activities. Medicine and Science in Sports and Exercise, 47, 1833–1840. 10.1249/MSS.0000000000000621. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McTiernan A, Friedenreich CM, Katzmarzyk PT, Powell KE, Macko R, Buchner D, Pescatello LS, Bloodgood B, Tennant B, Vaux-Bjerke A, George SM, Troiano RP, & Piercy KL, (2019). Physical activity in cancer prevention and survival: A systematic review. Medicine and Science in Sports and Exercise, 51, 1252–1261. 10.1249/MSS.0000000000001937. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Megson M, Wing R, & Leahey TM (2017). Effects of breakfast eating and eating frequency on body mass index and weight loss outcomes in adults enrolled in an obesity treatment program. Journal of Behavioral Medicine, 40, 595–601. 10.1007/s10865-017-9828-0. [DOI] [PubMed] [Google Scholar]
- Mehdizadeh A, Nematy M, Vatanparast H, Khadem-Rezaiyan M, & Emadzadeh M (2020). Impact of parent engagement in childhood obesity prevention interventions on anthropometric indices among preschool children: a systematic review. Childhood Obesity, 16, 3–13. [DOI] [PubMed] [Google Scholar]
- Militello LK, Melnyk BM, Hekler E, Small L, & Jacobson D (2016). Correlates of healthy lifestyle beliefs and behaviors in parents of overweight or obese preschool children before and after a cognitive behavioral therapy intervention with text messaging. Journal of Pediatric Health Care, 30, 252–260. 10.1016/j.pedhc.2015.08.002. [DOI] [PubMed] [Google Scholar]
- Mueller RC (2020). Exploring family nurse practitionersʼ practices in recommending mHealth apps to patients. CIN: Computers, Informatics, Nursing, 38, 71–79. 10.1097/CIN.0000000000000580. [DOI] [PubMed] [Google Scholar]
- National Academies Press. (2019). Fostering healthy mental, emotional, and behavioral development in children and youth: A national agenda. National Academies Press. 10.17226/25201. [DOI] [PubMed] [Google Scholar]
- Newman CL, Howlett E, & Burton S (2014). Implications of fast food restaurant concentration for preschool-aged childhood obesity. Journal of Business Research, 67, 1573–1580. [Google Scholar]
- Östlund et al. , 2015. Östlund A-S, Wadensten B, Kristofferzon M-L, & Häggström E (2015). Motivational interviewing: Experiences of primary care nurses trained in the method. Nurse Education in Practice, 15, 111–118. 10.1016/j.nepr.2014.11.005. [DOI] [PubMed] [Google Scholar]
- Ofori-Asenso R, Owen AJ, & Liew D (2019). Skipping breakfast and the risk of cardiovascular disease and death: A systematic review of prospective cohort studies in primary prevention settings. Journal of Cardiovascular Development and Disease, 6, 30. 10.3390/jcdd6030030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Orri M, Côté SM, Tremblay RE, & Doyle O (2019). Impact of an early childhood intervention on the home environment, and subsequent effects on child cognitive and emotional development: A secondary analysis. PLoS One, 14, e0219133. 10.1371/journal.pone.0219133. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Overcash F, Davey C, Zhang Y, & Reicks M (2020). Evening meal types and family meal characteristics: Associations with demographic characteristics and food intake among adolescents. Nutrients, 12, 886. 10.3390/nu12040886. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Parks EP, Kazak A, Kumanyika S, Lewis L, & Barg FK (2016). Perspectives on stress, parenting, and children’s obesity-related behaviors in black families. Health Education & Behavior, 43, 632–640. 10.1177/1090198115620418. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pedersen TP, Holstein BE, Flachs EM, & Rasmussen M (2013). Meal frequencies in early adolescence predict meal frequencies in late adolescence and early adulthood. BMC Public Health, 13, 445. 10.1186/1471-2458-13-445. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Piercy KL, Troiano RP, Ballard RM, Carlson SA, Fulton JE, Galuska DA, George SM, & Olson RD (2018). The physical activity guidelines for Americans. Journal of the American Medical Association 320, 2020–2028. 10.1001/jama.2018.14854. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pinho M. G. M. de., Adami F, Benedet J, & Vasconcelos F. de A. G. (2017). Association between screen time and dietary patterns and overweight/obesity among adolescents. Revista de Nutrição, 30, 377–389. 10.1590/1678-98652017000300010. [DOI] [Google Scholar]
- Ramsay SA, Bloch TD, Marriage B, Shriver LH, Spees CK, & Taylor CA (2018). Skipping breakfast is associated with lower diet quality in young US children. European Journal of Clinical Nutrition, 72, 548–556. 10.1038/s41430-018-0084-3. [DOI] [PubMed] [Google Scholar]
- Ramsey Buchanan L, Rooks-Peck CR, Finnie RKC, Wethington HR, Jacob V, Fulton JE, Johnson DB, Kahwati LC, Pratt CA, Ramirez G, Mercer SL, & Glanz K (2016). Reducing recreational sedentary screen time. American Journal of Preventive Medicine, 50, 402–415. 10.1016/j.amepre.2015.09.030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Robson SM, DeLuccia R, Baker S, Bodt B, & Trabulsi J (2020). Qualitative research on the real-time decision making of WIC participants while food shopping: Use of think aloud method. Journal of the Academy of Nutrition and Dietetics, 120, 111–119. 10.1016/j.jand.2019.05.009. [DOI] [PubMed] [Google Scholar]
- Ronan L, Alexander-Bloch A, & Fletcher PC (2020). Childhood obesity, cortical structures, and executive functioning in healthy children. Cerebral Cortex, 30, 2519–2528. 10.1093/cercor/bhz257. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rosiek A, Maciejewska NF, Leksowski K, Rosiek-Kryszewska A, & Leksowski Ł (2015). Effect of television on obesity and excess of weight and consequences of health. International Journal of Environmental Research and Public Health, 12, 9408–9426. 10.3390/ijerph120809408. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schoeppe S, Rebar AL, Short CE, Alley S, Van Lippevelde W, & Vandelanotte C (2016). How is adults’ screen time behaviour influencing their views on screen time restrictions for children? A cross-sectional study. BMC Public Health, 16, 201. 10.1186/s12889-016-2789-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sharman MJ, Jose KA, Venn AJ, Banks S, Ayton J, & Cleland VJ (2019). “I love having a healthy lifestyle”—A qualitative study investigating body mass index trajectories from childhood to mid-adulthood. BMC Obesity, 6,16. 10.1186/s40608-019-0239-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tamana SK, Ezeugwu V, Chikuma J, Lefebvre DL, Azad MB, Moraes TJ, Subbarao P, Becker AB, Turvey SE, Sears MR, Dick BD, Carson V, Rasmussen C, CHILD Study Investigators, Pei J, & Mandhane PJ (2019). Screen-time is associated with inattention problems in preschoolers: Results from the CHILD birth cohort study. PLoS One, 14, 1–15. 10.1371/journal.pone.0213995. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tandon PS, Zhou C, Lozano P, & Christakis DA (2011). Preschoolers’ total daily screen time at home and by type of child care. The Journal of Pediatrics, 158, 297–300. 10.1016/j.jpeds.2010.08.005. [DOI] [PubMed] [Google Scholar]
- Tang L, Darlington G, Ma DWL, & Haines J (2018). Mothers’ and fathers’ media parenting practices associated with young children’s screen-time: A cross-sectional study. BMC Obesity, 5, 1–10. 10.1186/s40608-018-0214-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Thompson D, Leach M, Smith C, Fereday J, & May E (2020). How nurses and other health professionals use learning principles in parent education practice: A scoping review of the literature. Heliyon, 6, e03564. 10.1016/j.heliyon.2020.e03564. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Toledo F. P. de., Devincenzi S, Kwecko V, Mota FP, & Botelho S. S. da C. (2018). A framework for modeling persuasive technologies based on the Fogg behavior model. 2018 IEEE Frontiers in Education Conference (FIE), pp. 1–5. 10.1109/FIE.2018.8659195. [DOI] [Google Scholar]
- Traub M, Lauer R, Kesztyüs T, Wartha O, Steinacker JM, Kesztyüs D, Briegel I, Dreyhaupt J, Friedemann E-M, Kelso A, Hermeling L, Georgiou E, Goosmann E, Lämmle C, Muche R, Pollatos O, Steeb L, Hoffmann B, Kobel S, … the Research Group “Join the Healthy Boat.” (2018). Skipping breakfast, overconsumption of soft drinks and screen media: Longitudinal analysis of the combined influence on weight development in primary schoolchildren. BMC Public Health, 18, 363. 10.1186/s12889-018-5262-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- U.S. Department of Health and Human Services. (2018). Physical activity guidelines for Americans (2nd ed.). U.S. Department of Health and Human Services. [Google Scholar]
- U.S. Department of Health and Human Services & U.S. Department of Agriculture. (2015). Dietary guidelines for Americans, 2015–2020 (8th ed.). Human Nutrition Information Service. [Google Scholar]
- van Grieken A, Wang L, van de Gaar VM, Jansen W, & Raat H (2019). Associations between family and home-related factors and child’s snack consumption in a multi-ethnic population. Journal of Public Health, 41, 430–438. 10.1093/pubmed/fdy124. [DOI] [PubMed] [Google Scholar]
- Vernon-Feagans L, Willoughby M, & Garrett-Peters P (2016). Predictors of behavioral regulation in kindergarten: Household chaos, parenting, and early executive functions. Developmental Psychology, 52, 430–441. 10.1037/dev0000087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Watanabe Y, Saito I, Henmi I, Yoshimura K, Maruyama K, Yamauchi K, Matsuo T, Kato T, Tanigawa T, Kishida T, & Asada Y (2014). Skipping breakfast is correlated with obesity. Journal of Rural Medicine: JRM, 9, 51–58. 10.2185/jrm.2887. [DOI] [PMC free article] [PubMed] [Google Scholar]
- World Health Organization. (n.d.). Global school-based student health survey (GSHS). https://www.who.int/ncds/surveillance/gshs/en/.
- World Health Organization. (2015). Guideline: Sugars intake for adults and children. https://www.ages.at/en/topics/nutrition/who-sugar-recommendations/; https://apps.who.int/iris/bitstream/handle/10665/149782/9789241549028. [PubMed]
- Wright B, & Bragge P (2018). Interventions to promote healthy eating choices when dining out: A systematic review of reviews. British Journal of Health Psychology, 23, 278–295. 10.1111/bjhp.12285. [DOI] [PubMed] [Google Scholar]
- Xiao Q, Garaulet M, & Scheer FAJL (2019). Meal timing and obesity: Interactions with macronutrient intake and chronotype. International Journal of Obesity (2005), 43, 1701–1711. 10.1038/s41366-018-0284-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yee AZ, Lwin MO, & Ho SS (2017). The influence of parental practices on child promotive and preventative food consumption behaviors: A systematic review. International Journal of Behavioral Nutrition, and Physical Activity, 14, 47. 10.1186/s12966-017-0501-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yu C-Y, Woo A, Emrich CT, & Wang B (2020). Social vulnerability index and obesity: An empirical study in the US. Cities, 97, 102531. 10.1016/j.cities.2019.102531. [DOI] [Google Scholar]