Relevant bibliographies by topics / Healthy habits

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Healthy habits'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 April 2022

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Journal articles on the topic "Healthy habits"

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Anon, Anon. "Health Tips: Healthy Habits, Healthy People." Management Accountant Journal 55, no. 1 (January 31, 2020): 96. http://dx.doi.org/10.33516/maj.v55i1.96-96p.

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Arnett, Donna K. "Healthy Habits, Healthy Women ∗." Journal of the American College of Cardiology 65, no. 1 (January 2015): 52–54. http://dx.doi.org/10.1016/j.jacc.2014.10.023.

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Joseph, M. Lindell, Rudolph T. Juárez, Janice Miller, Yolanda Rodriguez Villalvazo, Ann Rhodes, Marygrace Elson, and Julie Stanik-Hutt. "Developing Healthy Habits:." Nurse Leader 17, no. 6 (December 2019): 498–504. http://dx.doi.org/10.1016/j.mnl.2019.09.006.

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Leigh, J. Paul, and James F. Fries. "Associations among Healthy Habits, Age, Gender, and Education in a Sample of Retirees." International Journal of Aging and Human Development 36, no. 2 (March 1993): 139–55. http://dx.doi.org/10.2190/elmx-wxgj-7hqn-an18.

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In this exploratory and descriptive study, data are drawn from a sample of 1,864 Bank of America retirees collected in 1987 to investigate correlations among healthy habits, age, gender, and education. Findings include: 1) Health habits are strongly and positively associated with each other and negatively associated with unhealthy habits. 2) Age is statistically significant and positively associated with fiber, fat consumption, and lack of exercise, but negative associated with cigarette use. 3) Women are more likely than men to smoke, use seat belts, and eat foods high in fiber. Men are more likely than women to exercise and drink excessively. 4) Education is statistically significant and positively associated only with fiber in the diet and no other habit. 5) Fiber consumption emerges as the healthy habit most consistently associated with all other habits.
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Sugisawa, Hidehiro, Ken Harada, Yoko Sugihara, Shizuko Yanagisawa, and Masaya Shimmei. "Social Networks' Health Habits Over Life Course and Late-life Health Habits." American Journal of Health Behavior 44, no. 1 (January 1, 2020): 100–117. http://dx.doi.org/10.5993/ajhb.44.1.11.

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Objectives: In this study, we examined Japanese older adults' health habits (healthy diet, exercise, and nonsmoking) using 4 models: sensitive period, pathway, social mobility, and cumulative effects. Methods: A representative cross-sectional survey of people 65 years and older, living in Tokyo, produced 739 effective respondents. Health habits in social networks over the life course, at junior high school, age 20, and age 40, were measured through retrospective recall questions. Ordinary regression and logistic regression were used separately to analyze healthy diet and exercise/nonsmoking. Results: Regarding pathway effects, standardized coefficients of indirect health habits in social networks on late-life health habits were healthy diet = .073 (p < .05) and exercise = .125 (p < .001). Regarding social mobility effects, standardized coefficients of change to poorer health habits in social networks over the life course on late-life health habits, compared to maintaining healthy habits were healthy diet = -.121 (p < .01) and exercise e= -.235 (p < .05). Regarding cumulative effects, standardized coefficients of no exposure to better health habits in social networks over the life course were healthy diet = -0.103 (p < .01) and exercise = -.395 (p < .01). Conclusions: Three models – pathway, social mobility, and cumulative effects – may explain how healthy diet and exercise in social networks over the life course influence these health habits in later life.
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Jethva, Disha D., Bharati S. Rathod, and Ashi R. Thobias. "Clinical Relevance of Cotinine and Nicotine Levels as Tobacco Exposure Biomarkers in Oral Cancer Patients." International Journal of Research and Review 9, no. 2 (February 15, 2022): 247–53. http://dx.doi.org/10.52403/ijrr.20220234.

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Introduction: Oral cancer is cause mainly due to habits of tobacco consumption and it is a major health hazard across the world. The death rate due to the disease is also very high. However, the association of tobacco exposure with stage of the disease and treatment outcome is not reported. Therefore, we assessed correlation between levels of tobacco exposure with the disease status and treatment outcome in oral cancer patients. Materials and Methods: Urine samples were collected from enrolled pre-therapeutic oral cancer patients (N=96), healthy individuals with tobacco habits (N=19) and healthy individuals without tobacco habits (N=14). Urinary nicotine and cotinine levels were analyzed as indicators of tobacco exposure by HPLC methods. Data was statistically analyzed using the SPSS statistics version 20.0. Results: Present study revealed that tobacco exposure levels were significantly higher in oral cancer patients and healthy individuals with tobacco habits as compared to healthy individuals without tobacco habits. Receiver Operating Characteristics (ROC) curve analysis revealed that tobacco exposure levels have a good discriminatory efficacy between healthy individuals without habit of tobacco and oral cancer patients as well as between healthy individuals without habit of tobacco and healthy individuals with habits of tobacco. Kaplan Meier survival curve analysis also revealed that patients who were having higher tobacco exposure levels at the time of diagnosis showed worse survival than patients who were having lower tobacco exposure levels. Conclusion: Tobacco exposure levels could be a simple, non-invasive and cost effective prognostic biomarker for management of oral cancer. Keywords: Tobacco exposure, Cotinine, Nicotine, HPLC, ELISA, Oral Cancer, Urinary biomarker.
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Hawkes, A. J. "Adoption of healthy habits." British Dental Journal 184, no. 6 (March 1998): 264–65. http://dx.doi.org/10.1038/sj.bdj.4809592.

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Haines, Jess, Julia McDonald, Ashley O’Brien, Bettylou Sherry, Clement J. Bottino, Marie Evans Schmidt, and Elsie M. Taveras. "Healthy Habits, Happy Homes." JAMA Pediatrics 167, no. 11 (November 1, 2013): 1072. http://dx.doi.org/10.1001/jamapediatrics.2013.2356.

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Hoque, Kazi Enamul, Kazi Fardinul Hoque, and Revethy A/P Thanabalan. "Relationships between parents’ academic backgrounds and incomes and building students’ healthy eating habits." PeerJ 6 (May 3, 2018): e4563. http://dx.doi.org/10.7717/peerj.4563.

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Background Building healthy eating habit is essential for all people. School and family are the prime institutions to instill this habit during early age. This study is aimed at understanding the impact of family such as parents’ educations and incomes on building students’ healthy eating habits. Methods A survey on building students’ eating habits was conducted among primary school students of grade 4 (11 years) and 5 (12 years) from Kulim district, Malaysia. Data from 318 respondents were analysed. Descriptive statistics were used to find the present scenario of their knowledge, attitude and practices towards their eating habits while one-way ANOVA and independent sample t-test were used to find the differences between their practices based on students’ gender, parents’ educations and incomes. Results The study finds that the students have a good knowledge of types of healthy food but yet their preferences are towards the unhealthy food. Though the students’ gender and parents’ educations are not found significantly related to students’ knowledge, attitude and practices towards healthy eating habits, parents’ incomes have significant influence on promoting the healthy eating habit. Discussion Findings of this study can be useful to guide parents in healthy food choices and suggest them to be models to their children in building healthy eating habits.
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Dumitrescu, Claudia, and Claudia I. Iacob. "Predicting Healthy Eating: Conscientiousness versus the Health Belief Model." Romanian Journal of Applied Psychology 23, no. 1 (June 30, 2021): 18–24. http://dx.doi.org/10.24913/rjap.23.1.03.

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The present paper aimed to investigate the incremental validity of conscientiousness over the Health Belief Model (i.e., HBM) components in predicting students' eating habits. Using a non-experimental, longitudinal design, data from 200 Romanian students (181 females; Mage = 20.75, SDage = 3.89) were initially collected (T1). After one month (T2), the second wave of data was received from 150 students. Hierarchical regression results with eating habits from T2 as a criterion showed that self-efficacy for healthy eating was the only significant predictor for students' eating habits (β = .45, t(145) = 5.41, p < .01). Self-efficacy alone explained 27% of the variance in eating habits. Contrary to expectations, the perceived benefits of healthy eating did not correlate with the participants' eating habits. Conscientiousness did not bring additional predictive value, besides the HBM components (β = .03 , t(145) = .38, p = .70 ). These results reinforce the value of the HBM as a frame of reference for explaining eating habits in young people. From a practical standpoint, the findings suggest the need to strengthen self-efficacy in youth, which, in turn, can help them develop healthier eating habits. Limitations and other implications were further discussed.
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Dissertations / Theses on the topic "Healthy habits"

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Alabdullah, Ghanima. "Promoting Healthy Eating Habits and Physical Activity among School-aged Children in Kuwait – “My Healthy Habits" Summer Camp." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3704.

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The effectiveness of an eight-week nutrition and physical activity intervention at a summer camp to prevent obesity, and promote healthy eating habits and physical activity among children in Kuwait was studied. Two summer camps were recruited for intervention and comparison groups. Convenient sampling was used (N= 79). Pre-test/post-test assessment were used for the participants in the intervention and comparison groups. Modified Healthy Habits Survey (HHS) was used to measure children’s knowledge, behavior and attitude about nutrition, screen time and physical activities, BMI-for age percentile were collected. Statistical analysis included independent t-test, paired t-test, chi-squared test, McNemar's test, and multiple regression. Results indicated that there was a significant increase in nutrition knowledge score (Pp= 0.013, p = 0.007, p = 0.002, and p = 0.012, respectively). There was no significant decrease in the number of servings of unhealthy foods for french-fries and chips, fruit flavored drinks or soft drinks. The only significant decrease in the unhealthy food intake was seen in the number of servings of sweets and candies. Thirty-three-point-three percent of participants in the intervention group decreased their consumption of sweets and candies to 1 time or less per day (P=0.001). There was a significant increase in the intervention group in both physical activity and screen time knowledge (Pp
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Searles, Jennifer L. "Habits for Healthy Eating in Early Pregnancy." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin155412029558915.

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Ribeiro, Daniela Marisa Fontes. "How to promote healthy eating habits in children." Master's thesis, NSBE - UNL, 2012. http://hdl.handle.net/10362/9516.

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics
Childhood’s overweight and obesity are a worrying issue in the world nowadays. The purpose of this study was to provide contributions to the promotion of healthy food by analyzing the impact of physical activity, parents’ influence and home meals frequency on children’s food choices. Structured questionnaires were used and were answered by 172 children between 10 and 14 years old and by their respective parents. Children and parents preferred healthy food vs. non-healthy food presenting the children’s healthy food choices a mean of 4.26 and the parent’s healthy food choices a mean of 4.47 in a scale ranging from 0 to 6. Our results also show that physical activity, parent’s education and home meals frequency did not have an impact on children’s food choices, contrasting to the sedentary behavior and parents’ choices which had a negative and positive correlation, respectively, with children’s food choices. Taking these results into account and using them to advise parents and companies, we underline that parents must guarantee an adequate children’s nutrition after doing physical efforts and control the time children watch TV and play computer games and companies may create marketing campaigns and educational programs in order to promote healthy food, improve children’s eating habits and reduce the childhood obesity prevalence.
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Musser, Kimberly. "Comparison of healthy lifestyle habits in high school students." Menomonie, WI : University of Wisconsin--Stout, 2007. http://www.uwstout.edu/lib/thesis/2007/2007musserk.pdf.

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Park, Ga Bin. "A system that promotes healthy eating habits in preschoolers." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24729.

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Dias, Mónica Sofia Rodrigues. "Can advergames boost children’s healthier eating habits?: a comparison between healthy and non-healthy food." Master's thesis, NSBE - UNL, 2011. http://hdl.handle.net/10362/10023.

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics
This research aims to investigate the effects of food advergaming on children’s eating habits. A total of 231 elementary school-age children were randomly assigned to one of the following two conditions: (i) play the healthy advergame; (ii) play the less healthy advergame. A pos-treatment pictured questionnaire was used to assess their behavior in terms of immediate food choice, food liking, and nutritional knowledge. Results showed that children tend to choose a snack accordingly to what was being advertised in the game. In terms of food liking, children who played the less healthy version of the game reported a higher preference for some of the less healthy options. Regarding nutritional knowledge no differences were registered which leads us to conclude that they already have a solid understanding of what are “good” and “bad” foods for their health. These findings have important legal, educational, management and social marketing contributions.
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Peterschmidt, Max. "Cureating: Building Healthy Eating Habits with Design, Psychology, and Economics." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1367944842.

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Encarnação, Joana. "Impact of coffee-consuming habits on plasma biomarkers in a healthy adult population." Thesis, University of Leeds, 2015. http://etheses.whiterose.ac.uk/9707/.

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Increasing epidemiological evidence for the beneficial health effects of (poly)phenol-rich products has led to a growing interest in the role of (poly)phenols in reducing the incidence of chronic diseases. Coffee is a major contributor to dietary chlorogenic acids. However, the majority of these, unlike free phenolic acids, first need to be cleaved in order to be absorbed and about 70 % of them reach the colon intact where they are processed by the microbiota population. First, the analysis of major free phenolic acids in five commercially available soluble coffees is described. The influence of roasting and decaffeination and the contribution of free phenolic acids to the appearance of derived metabolites in plasma resulting from a pre-colonic absorption are then assessed. The hypothesis was that, as reported for chlorogenic acids, both roasting and decaffeination would have a negative impact on the quantified compounds. The contribution of free phenolic acids to the appearance of derived pre-colonic metabolites in plasma was hypothesized to be significant, as these are easily absorbed in the gastrointestinal tract. Results indicated that roasting and decaffeination reduce the amount of hydroxycinnamic acids, which in the amounts consumed with a regular coffee beverage do not significantly contribute to the early appearance of derived metabolites. The hydrolysis of 5-O-caffeoylquinic acid and 3-O-caffeoylquinic acid is a likely major contributing mechanism to the early appearance of derived metabolites in plasma. In a second stage, the impact of habitual consumption of popular (poly)phenol-rich products on human health and the impact of habitual consumption of coffee on the absorption and metabolism of chlorogenic acids were assessed in an observational human study with 62 healthy adult participants. The health status of the study population was assessed by the quantification of selected biomarkers of health using optimized methods, which were based on published protocols. The major hypotheses in this second section were that the metabolism of the biomarkers was stable over the study period (i.e. max 16 weeks); that subjects with a higher regular consumption of (poly)phenol-rich products have a healthier profile of biomarkers and that subjects with a higher absorption of coffee (poly)phenols have a healthier profile of biomarkers. A healthy and overall stable metabolism of the quantified inflammation and cardiovascular biomarkers (i.e. total aminothiols, glucose, insulin and uric acid) over a period of at least 8 - 16 weeks was confirmed. Subjects with a higher consumption were more likely to also be higher consumers of other (poly)phenol-rich products. A higher consumption of (poly)phenol-rich products was not associated with a better inflammatory and cardiovascular health profile, but the a higher presence of two colonic metabolites (i.e. vanilloylglycine and feruloylglycine) was associated with higher levels of glutathione. Overall, the results suggested a reduced bioavailability of chlorogenic acids with a higher habitual consumption of coffee including associated (poly)phenols, and encourage future investigations targeting the colonic microbiota populations.
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Berman, Mark Alan. "Thinking beyond health to motivate dietary change : piloting a vegan healthy eating program for obesity management /." [New Haven, Conn. : s.n.], 2004. http://ymtdl.med.yale.edu/theses/available/etd-08182004-165845/.

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Rajashekara, Shruthi. "A Qualitative Assessment of Healthy Food Access in Navajo Nation." Thesis, Harvard University, 2014. http://nrs.harvard.edu/urn-3:HUL.InstRepos:13041351.

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Background: The Navajo population experiences high rates of food insecurity, contributing to high rates of chronic disease. We conducted in-depth interviews with Navajo tribal members in order to understand food insecurity in this community and inform the design of an intervention to improve access to healthy foods. Methods: Thirty individuals were interviewed over a three-month period, including Chapter House officials, Community Health Representatives and heads of households living in the Crownpoint Service Unit in Navajo Nation. Data was coded, grouped into analytical categories and integrated into a thematic framework. Results: Food insecurity in Navajo Nation demonstrates variability at the structural, community, and individual and household levels. Income, transportation, vendors, Chapter Houses, social support and health literacy were the main factors contributing to participants’ access to healthy foods. Responses to food insecurity were explored through coping strategies as well as through food purchasing strategies such as price, proximity, shelf life, family preferences, and ease of preparation. Lastly, participants discussed their endorsement for a proposed intervention to increase access to healthy foods. Conclusion: Food insecurity in Navajo Nation is a complex issue, influenced by the dynamic relationship between determinants of individual behavior and the broader environmental context in which they are embedded. A community-based multi-level intervention is necessary in order to achieve sustainable improvement in access to healthy foods.
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Books on the topic "Healthy habits"

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Healthy habits. Mankato, Minn: Capstone Press, 2011.

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McCormick, Rosie. Healthy habits. London: Belitha, 2003.

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Weber, Rebecca. Healthy habits. Mankato, Minn: Capstone Press, 2011.

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Hábitos saludables =: Healthy habits. Mankato, Minn: Capstone Press, 2012.

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Inc, Bendon Publishing. Healthy habits learning workbook. Ashland, OH: Bendon Publishing International, 2010.

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Healthy Sleep Habits, Happy Child. New York: Random House Publishing Group, 2009.

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Healthy sleep habits, happy child. New York: Fawcett Columbine, 1987.

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Storlie, Jean. Snacking habits for healthy living. Minneapolis, MN: Chronimed Pub., 1997.

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Weissbluth, Marc. Healthy sleep habits, happy child. New York: Ballantine Books, 1987.

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Weissbluth, Marc. Healthy sleep habits, happy child. New York: Ballantine Publishing Group, 1999.

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Book chapters on the topic "Healthy habits"

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Savina, Elena, and Jennifer M. Moran. "Physical Health and Healthy Habits in Adolescent Girls." In Well-Being in Adolescent Girls, 50–72. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003105534-4.

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Meltzer, Lisa J., and Valerie McLaughlin Crabtree. "Typical sleep across development and healthy sleep habits." In Pediatric sleep problems: A clinician's guide to behavioral interventions., 13–30. Washington: American Psychological Association, 2015. http://dx.doi.org/10.1037/14645-002.

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Li, C., and E. S. Ford. "Healthy Lifestyle Habits and Health-Related Quality of Life in Diabetes." In Handbook of Disease Burdens and Quality of Life Measures, 2095–114. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-0-387-78665-0_122.

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Mennella, Julie A., and Alison K. Ventura. "Early Feeding: Setting the Stage for Healthy Eating Habits." In Early Nutrition: Impact on Short- and Long-Term Health, 153–68. Basel: KARGER, 2011. http://dx.doi.org/10.1159/000325783.

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Ebanks, Maurisha. "“Eating the Right Way”: Michelle Obama and Healthy Habits." In Michelle Obama’s Impact on African American Women and Girls, 167–69. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92468-7_19.

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Riddell, Tara, Jane Nassif, Ana Hategan, and Joanna Jarecki. "Healthy Habits: Positive Psychology, Journaling, Meditation, and Nature Therapy." In Humanism and Resilience in Residency Training, 439–72. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45627-6_14.

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Cefai, Carmel. "Healthy Habits and Healthy Spaces: Children’s Views on Their Use of Time and Space." In Handbook of Leisure, Physical Activity, Sports, Recreation and Quality of Life, 97–105. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75529-8_6.

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Hoshi, Tanji. "SES, Dietary and Lifestyle Habits, Three Health-Related Dimensions, and Healthy Survival Days." In International Perspectives on Aging, 121–41. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6629-0_8.

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Inagawa, Yuma, Junki Hakamta, and Masataka Tokumaru. "A Support System for Healthy Eating Habits: Optimization of Recipe Retrieval." In Communications in Computer and Information Science, 168–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39476-8_35.

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Monk, Monika, D. Scott McCrickard, Adil Kadir, Brandon Dockery, and Kacie Allen. "Mobile Technologies and Its Advantages with Promoting Healthy Habits amongst Children." In Communications in Computer and Information Science, 192–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39476-8_40.

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Conference papers on the topic "Healthy habits"

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A Concept, Life-Style:. "Tailoring Motivational Mechanisms to Engage Teenagers in Healthy." In Applied Human Factors and Ergonomics Conference. AHFE International, 2021. http://dx.doi.org/10.54941/ahfe100499.

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Overweight and obesity are the first leading risk related to nutrition for global deaths, in the last few years it outranked the famine. Obesity increases the risk of several debilitating, and deadly diseases, including diabetes, heart disease, and some cancers. Due to the many health risks associated with obesity, the financial burden that the treatment of this disease exercises on the European healthcare system is enormous. For this reason, the best strategy relies in prevention. In particular, the pervasiveness of technology can leverage an important advantage for the promotion of healthy behaviors in the new generations. This paper introduces PEGASO, a technological multidisciplinary project funded by the European Commission that aims at creating an ecosystem that can enable teenagers to adopt healthy habits leading to a healthy life-style. The ICT system plays an important role in the PEGASO ecosystem. This behavior change support system integrates a Virtual Individual Model that allows characterizing the physiological status, physical condition and the psychological status for each user. This allows the elaboration of tailored interventions aiming at promoting the adoption of healthy habits by the users. This paper describes this concept introducing the Virtual Individual Model and discusses the possible interventions related to the promotion of physical exercise and of healthy dietary habits. At the end of the paper, some indications about the future development of the PEGASO project are provided.
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Vainio, Janne, Ilkka Korhonen, Kirsikka Kaipainen, Outi Kenttä, and Joona Järvinen. "Learning healthy habits with a mobile self-intervention." In 8th International Conference on Pervasive Computing Technologies for Healthcare. ICST, 2014. http://dx.doi.org/10.4108/icst.pervasivehealth.2014.254951.

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Adaji, Ifeoma, and Julita Vassileva. "A Gamified System for Influencing Healthy E-commerce Shopping Habits." In UMAP '17: 25th Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3099023.3099110.

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Oku, Ryouta, Hiroshi Takenouchi, and Masataka Tokumaru. "Effectiveness of Kansei model in Healthy Eating Habits Support System." In 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS). IEEE, 2014. http://dx.doi.org/10.1109/scis-isis.2014.7044680.

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Adaji, Ifeoma, Kiemute Oyibo, and Julita Vassileva. "ShopRight : A Game-Based Approach for Motivating Healthy Shopping Habits." In Proceedings of the 32nd International BCS Human Computer Interaction Conference. BCS Learning & Development, 2018. http://dx.doi.org/10.14236/ewic/hci2018.74.

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Leatherwood, Stacy L., Gwen Alexander, and Nikeisha Beckford. "5210 Kids! using Technology to Teach Healthy Habits to Kids." In Selection of Abstracts From NCE 2016. American Academy of Pediatrics, 2018. http://dx.doi.org/10.1542/peds.141.1_meetingabstract.227.

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De Croon, Robin, Francisco Gutierrez, Rachel Berry, Sian Astley, Katrien Verbert, and Vero Vanden Abeele. "Motivational design techniques to support healthy eating habits at work." In 2020 IEEE International Conference on Healthcare Informatics (ICHI). IEEE, 2020. http://dx.doi.org/10.1109/ichi48887.2020.9374350.

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Pirolli, Peter. "From good intentions to healthy habits: Towards integrated computational models of goal striving and habit formation." In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2016. http://dx.doi.org/10.1109/embc.2016.7590670.

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Bellemare, D., C. Duchaine, M. Vézina, M.-M. Mantha-Bélisle, H. Sultan-Taïeb, F. St-Hilaire, and C. Brisson. "493 Healthy enterprise standard (hes) evaluation: impact on lifestyle habits and self-rated health." In 32nd Triennial Congress of the International Commission on Occupational Health (ICOH), Dublin, Ireland, 29th April to 4th May 2018. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/oemed-2018-icohabstracts.1656.

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Pankova, Svetlana N. "EVERYDAY HABITS AND VALUES OF HEALTHY LIFE AS A SOCIAL PRACTICE." In 2nd International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM2015. Stef92 Technology, 2015. http://dx.doi.org/10.5593/sgemsocial2015/b11/s2.064.

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Reports on the topic "Healthy habits"

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Keenan, Teresa A. Midlife and Older Adults' Health: Healthy Habits. Washington, DC: AARP Research, May 2021. http://dx.doi.org/10.26419/res.00446.004.

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Keenan, Teresa A. Healthy Habits During the COVID-19 Pandemic. Washington, DC: AARP Research, March 2021. http://dx.doi.org/10.26419/res.00444.001.

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Brady, Patrick, Natoshia M. Askelson, Helaina Thompson, Hailey Boudreau, Montana Scott, Abigail Lee, and Kellee McCrory. Healthy Habits Start Early: Evaluation Results and Recommendations. Iowa City, Iowa: University of Iowa Public Policy Center, 2019. http://dx.doi.org/10.17077/rep.002118.

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Lampkin, Cheryl. Healthy Living During Extraordinary Times: Cooking and Eating Habits. Washington, DC: AARP Research, June 2020. http://dx.doi.org/10.26419/res.00386.002.

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García-Hermoso, Antonio. Associations between Mediterranean Diet and healthy habits among youths. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, April 2020. http://dx.doi.org/10.37766/inplasy2020.4.0032.

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Keenan, Teresa A. Healthy Habits During the COVID-19 Pandemic: Annotated Questionnaire. Washington, DC: AARP Research, March 2021. http://dx.doi.org/10.26419/res.00444.002.

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Iizuka, Toshiaki, and Ginger Zhe Jin. Drug Advertising and Health Habit. Cambridge, MA: National Bureau of Economic Research, November 2005. http://dx.doi.org/10.3386/w11770.

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Beattie, Graham, Jean-William Laliberté, Catherine Michaud-Leclerc, and Philip Oreopoulos. What Sets College Thrivers and Divers Apart? A Contrast in Study Habits, Attitudes, and Mental Health. Cambridge, MA: National Bureau of Economic Research, July 2017. http://dx.doi.org/10.3386/w23588.

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Annie Page-Karjian, Annie Page-Karjian. Comprehensive health assessment of gopher tortoises inhabiting fragmented habitat in South Florida. Experiment, May 2019. http://dx.doi.org/10.18258/13496.

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Willard, Jean C., Peter C. Damiano, Kate E. Burgener, Valerie Hoffman, Jane Borst, Teresa Marshall, Lucia Dhooge, Gretchen Hageman, Debra Kane, and Andrew J. Penziner. The 2005 Iowa Child and Family Household Health Survey. Physical activity, weight, and eating habits. Fourth report in a series. Iowa City, Iowa: University of Iowa Public Policy Center, April 2008. http://dx.doi.org/10.17077/820t-jldn.

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