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“Boring” family routines reduce non-communicable diseases: a commentary and call for action
© Rotheram-Borus et al. 2015
Received: 24 February 2015
Accepted: 16 April 2015
Published: 1 July 2015
As global donors shift their efforts from infectious diseases to non-communicable diseases (NCD), it is critical to capitalize on our prior mistakes and successes. Policy makers and public health administrators are often looking for magic bullets: drugs or treatments to eradicate disease. Yet, each potential magic bullet requires consistent, daily implementation and adherence to a new set of habits to actually work. Families’ and communities’ daily, interlocking routines will be the battlefield on which scientific and technological breakthroughs will be implemented and succeed or not.
Currently, there are many evidence-based interventions (EBI) which have been demonstrated to shift specific habits which account for most NCD (eating, drinking, moving, and smoking). Yet, securing sustained uptake of these programs is rare – suggesting different intervention strategies are needed. Structural changes, policy nudges, and partnerships with private enterprise may be able to shift the health behaviors of more citizens faster and at a lower cost than existing EBI. Addressing concurrent risk and protective factors at the community level and intervening to shape new cultural routines may be useful to reduce NCD.
Non-communicable diseases (NCD) account for a growing public health burden exceeding all communicable, maternal and perinatal nutrition-related deaths combined [1,2]. In most high income countries, NCD account for more than 80% of deaths , and still the World Health Organization (WHO) predicts that NCD deaths will increase by 17% worldwide over the next decade . NCDs are also saturating health care needs in low and middle income countries (LMIC), with 80% of all NCD deaths occurring in LMIC [1,3,4].
In September 2011, the United Nations convened a high level meeting on the Prevention and Control of Non-Communicable Diseases with a focus on four conditions that together account for more than 50% of all deaths in LMIC – cancer, heart disease, diabetes and respiratory disease [1,3]. Funding streams in the last three decades have, for the most part, narrowly targeted infectious diseases such as HIV, malaria, and TB  – but this investment is shifting. In this commentary and call for action, we argue that as global donors shift funding to support NCD  they avoid adopting the intervention strategies utilized to fight infectious diseases. There has been an overemphasis on the scientific search for magic bullets – medications and technological innovations . This certainly has been the case for HIV; with antiretroviral therapies offering lengthened, high quality life, but, with lifelong adherence a necessity, the habits that allowed HIV to become a generalized epidemic remain and continue to result in high HIV incidence (e.g., South Africa ), despite the broad availability of drugs. This commentary encourages donors and public health officials to examine the basic processes that sustain both NCD and infectious diseases before investing in a new set of magic bullet solutions.
Routines of daily living
For the last 25 years, about two-thirds of deaths globally (36 million deaths annually) have been the result of non-communicable diseases (NCD) [1,4]. A third of NCD deaths in LMIC are among people younger than 60 years [3,4], while NCD deaths are over 60 years old in high income countries . These premature deaths and diseases are largely preventable by the implementation of effective interventions that address reductions in risk factors (tobacco, excessive alcohol use, poor diet, physical inactivity, high blood pressure) and enable health systems to effectively respond .
There is preliminary evidence demonstrating that the current NCD intervention strategies are not working: for example, failures are mounting for tobacco control in LMIC, treatment for persons at high risk for cardiovascular diseases and multi-sectorial responses to NCD . Current health care responses to NCD are focused on looking for “disease,” rather than on preventing NCD by supporting prosocial patterns of daily living . Four habits account for about half of all global morbidity and mortality: how much and what we eat, exercise, smoking, and alcohol use [4,10]. If the habits of sleeping, mating, and our daily relationships are taken into account, substantially more of our health and well-being can be improved [11,12]. One domain, critically implicated in the growth of NCD and that receives very little research attention, is that of the routine habits of daily family life.
Sustained reductions in NCD depend on small shifts in families’ and communities’ habits. Reducing caloric intake each day by a small amount may result in weight loss of 9 kg annually (e.g., eating one less apple daily) . Regular family meals improve health and overall well-being , and create opportunities for family bonding and discussions about the day’s activities. Preschool-aged children in the United States exposed to the three household routines - regularly eating dinner as a family, getting adequate nighttime sleep, and having limited screen-viewing time - have a 40% lower prevalence of obesity than those exposed to none of these routines . There are rhythmic patterns to the day in almost all countries, with few variations. Among 10 European countries, people spend about 2.5 hours on meals, four hours on household chores, four hours working and have 4–5 hours of free time per day . In contrast, the typical American spends only about an hour primarily focused on eating meals and another 1.5 hours drinking (other than water), typically while engaged in an activity such as watching television, driving, or working . Another 10% of American children’s meals are eaten at McDonalds . Americans have less time for meals and chores, and spend more time working . These are the habits of daily living that must be addressed in order to improve NCD.
When focusing on habits, the co-dependency among family members is immediately evident . Changing a single behavior of one family member triggers a cascade of changes in associated habits, which are similarly embedded in synchronized multi-person routines– to either increase or reduce NCD . Habits are embedded in family members’ lives at home, at school, and in community activities. It is in these contexts that one must establish and maintain healthy habits to prevent NCD. While we are not suggesting that prevention and treatment are mutually exclusive, for people with a NCD, a nuanced combination of prevention and treatment is needed.
In creating the next generation of interventions, context matters. Our intervention programs need to recognize the contexts of the families in their communities and must shape and nudge families into acting and feeling healthier . Globally, it is private entrepreneurs, not health and public health advocates, who have shaped families' daily routines . In a high income country, such as the United States, television, internet, mobile phones, video games, and social media now occupy each family member for about 4–5 hours daily, and about 40,000 commercials are viewed annually . Active, engaged lifestyles are likely to require partnerships with private enterprise to reshape these family patterns.
Families perceive their health to be under their own control . Yet, families’ habits largely reflect where they live, who their friends are, and what they watch on TV. The environments in which we live determine our opportunities and the pulls for healthy and unhealthy behaviors - a built environment with sidewalks can build active lifestyles and friendships . The density of fast food restaurants influences food choices and is often higher in low income neighborhoods compared to high income neighborhoods . Most families in a community face the same set of health challenges, yet families are likely to attribute responsibility to unhealthy behaviors or a lack of willpower, not perceiving the influence of environmental conditions . Thus, the features of the local community either heighten risk or protect families from NCD. Nudging families to change their daily routines will require structural support (i.e., large-scale interventions) in the form of legislative and administrative policies.
Having an active lifestyle and engaging in sports activities and exercise ;
Monitoring children’s whereabouts and activities ;
Maintaining consistent routines over sustained periods of time .
Each of these actions embeds the family in a network of like-minded peers. Playing sports surrounds children with peers whose families also have active lifestyles . Having dinner or bedtime at a regular time creates a culture of predictability in a family. Thus, each action has a broader and deeper developmental impact than the act itself (sleep, eating, exercising). These behaviors are not the types which respond to magic bullets, nor are they likely to be shaped by interactions with a health care provider (who may see a family a two-three times annually). Interlocking habits of family members can be only be shaped towards increasing health slowly over time with small steps which are mutually reinforcing among family members and friends .
Way forward and a call for action
Structural interventions are needed to provide families with opportunities to optimize their health. Currently, we typically reshape families’ habits by mounting evidence-based interventions (EBI) which target single outcomes. These EBI are labor intensive, time-limited, and delivered in individual sessions or small group meetings at community sites [33,34]. Adding specialized meetings to a family’s existing daily routine is unlikely to be sustainable over the long-term. The opportunities for change need to be embedded in families’ existing schedules.
Throughout China, parents, the elderly and young people can be found at 6 a.m. in the streets: dancing, doing Tai Chi, meeting in exercise groups, or socializing while walking. This routine is part of each person’s day, creating a culture that supports vigorous activity daily. In the United States, some elementary and high schools have started offering Zumba on the playground, as children arrive, waiting for school to begin so that a potentially inactive period is substituted with vigorous dancing . Activity, such as Zumba, helps teachers manage classrooms more easily and primes children’s attention . Cultural routines such as these create opportunities for reducing NCD; TV watching eliminates healthy opportunities.
Structural interventions create the opportunities to improve family routines, not by slowly shaping new behaviors, but by changing the incentives or choices that families have [35-37]. For example, taxing tobacco and alcohol reduces use significantly and reductions are sustained over time [38,39]. Controlling alcohol advertising also reduces alcohol use, especially among adolescents . Taxing cigarettes and sugary soda drinks, and raising the legal drinking age are additional examples of structural interventions which significantly reduce risk patterns related to NCD [38,41,42]. Government agencies often require improvements in food content, changing the quality of food families eat . For example, with the availability of farmers’ markets, families can more easily shift their diet from processed food to raw fruits and vegetables. The number of farmers’ markets in the United States has grown fourfold since 1994 and 180% from 2006–2014 [44,45]. The European Union formally encourages fresh produce and local crops with a “Farm to Fork” initiative . Each of these distal structural policies shapes families’ proximal routines and realigns incentives to encourage families to maintain the habits. The Robert Wood Johnson Foundation has initiated this type of approach in its commitment to a Culture of Health, which emphasizes policy-level shifts that incentivize healthy acts .
These structural shifts affect more people in a shorter period of time at lower cost than would typically be achieved with our existing approaches to delivering EBI. The business world refers to such interventions as “disruptive” innovations [48,49]. When we embed opportunities for health into families’ days, we may be improving the health of more people faster , a possibility which will require substantial revision to the way scientists approach the creation and diffusion of EBI .
Funding streams drive programs and the uptake of health interventions. Donor agencies invested in infectious diseases over the last 20 years targeted a single health outcome – typically HIV, TB, or malaria [51-53]. While creating access to services, having specialized sites for HIV-related service functioned to increase the stigma of the disease and HIV care . Programs to reduce NCD are likely to be more successful if multiple behaviors, both risk and protective factors, are targeted within a single site, i.e., if programs are horizontally integrated. Continuing to organise funding streams, staffing, intervention programs, and populations based on their targeted NCD (a vertically siloed program) will waste substantial resources and expertise that could be integrated to form a network of support for the full range of families’ risk and protective factors.
Creating structural opportunities for families to create healthy daily routines, in their habitual activities, food and drink choices, sleep, and work/school schedules;
Integrating funding streams across different NCD, so that the primary health threats within a specific community context are addressed; and,
Empirically examining how community shifts in the risk and protective factors for multiple diseases either efficaciously changes health over the long-term (or not).
This commentary was funded by the Center for HIV Identification, Prevention, and Treatment (CHIPTS) NIMH grant MH58107; the UCLA Center for AIDS Research (CFAR) grant 5P30AI028697; and the National Center for Advancing Translational Sciences through UCLA CSTI Grant UL1TR000124.
- 2008–2013 Action Plan for the Global Strategy for the Prevention and Control of Noncommunicable Diseases. World Health Organization (WHO). 2008. http://whqlibdoc.who.int/publications/2009/9789241597418_eng.pdf?ua=1. Accessed 6 August 2014.
- CDC Global Noncommunicable Diseases (NCD). Centers for Disease Control and Prevention (CDC). 2014. http://www.cdc.gov/globalhealth/ncd/. Accessed 29 January 2015.
- Baldwin W, Amato L. Fact Sheet: Global Burden of Noncommunicable Diseases. Population Reference Bureau. 2012. http://www.prb.org/Publications/Datasheets/2012/world-population-data-sheet/fact-sheet-ncds.aspx. Accessed 6 August 2014.
- Global status report on noncommunicable diseases: 2010. World Health Organization (WHO). 2011. http://www.who.int/nmh/publications/ncd_report_full_en.pdf. Accessed 6 August 2014.
- The Global Fund Strategy 2012–2016: Investing for Impact. The Global Fund. 2012. http://www.theglobalfund.org/en/about/strategy/. Accessed 23 July 2014.
- Tomlinson M, Rotheram-Borus MJ, Swartz L, Tsai AC. Scaling up mHealth: where is the evidence? PLoS Med. 2013;10:e1001382.View ArticlePubMedPubMed CentralGoogle Scholar
- Karim QA, Kharsany AB, Frohlich JA, Werner L, Mashego M, Mlotshwa M, et al. Stabilizing HIV prevalence masks high HIV incidence rates amongst rural and urban women in KwaZulu-Natal. South Africa. Int J Epidemiol. 2011;40:922–30.View ArticlePubMedGoogle Scholar
- Beaglehole R, Bonita R, Horton R, Adams C, Alleyne G, Asaria P, et al. Priority actions for the non-communicable disease crisis. Lancet. 2011;377:1438–47.View ArticlePubMedGoogle Scholar
- McGinnis M, Foege W. The immediate vs the important. JAMA. 2004;291:1263–4.View ArticlePubMedGoogle Scholar
- Sallis JF, Cervero RB, Ascher W, Henderson KA, Kraft MK, Kerr J. An ecological approach to creating active living communities. Annu Rev Public Health. 2006;27:297–322.View ArticlePubMedGoogle Scholar
- Bussel JB, Leviton LC, Orleans CT. Active living by design: perspectives from the Robert Wood Johnson Foundation. Am J Prev Med. 2009;37 Suppl 2:309–12.View ArticleGoogle Scholar
- Lavizzo-Mourey R, McGinnis JM. Making the case for active living communities. Am J Public Health. 2003;93:1386–8.View ArticlePubMedPubMed CentralGoogle Scholar
- Hill JO. Can a small-changes approach help address the obesity epidemic? a report of the joint task force of the american society for nutrition, institute of food technologists, and international food information council. Am J Clin Nutr. 2009;89:477–84.View ArticlePubMedGoogle Scholar
- Ochs E, Shohet M. The cultural structuring of mealtime socialization. New Dir Child Adolesc Dev. 2006;2006:35–49.View ArticleGoogle Scholar
- Sallis JF, Nader PR. Family determinants of health behaviors. In: Gochman SD, editor. Health behavior: emerging research perspectives. New York: Plenum Press; 1998. p. 107–24.Google Scholar
- Statistical Office of the European Communities. How Europeans spend their time: everyday life of women and men, data 1998–2002. Luxembourg: Office for Official Publications of the European Commission; 2004.Google Scholar
- Hamrick, KS, Andrews M, Guthrie J, Hopkins D, McClelland K. How much time do Americans spend on food?. US Department of Agriculture, Economic Research Service. 2011. http://www.ers.usda.gov/media/149404/eib86.pdf. Accessed 6 August 2014.
- Schlosser E. Fast food nation: what the all-american meal is doing to the world. London: Penguin Books Limited; 2002.Google Scholar
- The American Time Use Survey – 2012 results. United States Department of Labor, Bureau of Labor Statistics, Washington. 2014. http://www.bls.gov/tus/home.htm. Accessed 6 August 2014.
- Weisner TS. Ecocultural understanding of children’s developmental pathways. Hum Dev. 2002;45:275–81.View ArticleGoogle Scholar
- Ochs E, Kremer-Sadlik T, editors. Fast forward family: home, work and relationships in middle class america. Berkeley: University of California Press; 2013.Google Scholar
- Thaler RH, Sunstein CR. Nudge: improving decisions about health, wealth, and happiness. New Haven: Yale University Press; 2008.Google Scholar
- Schor JB. Born to buy: the commercialized child and the new consumer culture. New York: Scribner; 2004.Google Scholar
- Farley T, Cohen D. Prescription for a healthy nation: a new approach to improving our lives by fixing our everyday world. Boston: Beacon; 2005.Google Scholar
- Younger M, Morrow-Almeida HR, Vindigni SM, Dannenberg AL. The built environment, climate change, and health: opportunities for co-benefits. Am J Prev Med. 2008;35:517–26.View ArticlePubMedGoogle Scholar
- Inagami S, Cohen DA, Brown AF, Asch SM. Body mass index, neighborhood fast food and restaurant concentration, and car ownership. J Urban Health. 2009;86:683–95.View ArticlePubMedPubMed CentralGoogle Scholar
- Pate RR, Trost SG, Levin S, Dowda M. Sports participation and health-related behaviors among US youth. Arch Pediatr Adolesc Med. 2000;154:904–11.View ArticlePubMedGoogle Scholar
- Strine TW, Chapman DP. Associations of frequent sleep insufficiency with health-related quality of life and health behaviors. Sleep Med. 2005;6:23–7.View ArticlePubMedGoogle Scholar
- Pilcher JJ, Ginter DR, Sadowsky B. Sleep quality versus sleep quantity: relationships between sleep and measures of health, well-being and sleepiness in college students. J Psychosom Res. 1997;42:583–96.View ArticlePubMedGoogle Scholar
- Li X, Feigelman S, Stanton B. Perceived parental monitoring and health risk behaviors among urban low-income African-American children and adolescents. J Adolesc Health. 2000;27:43–8.View ArticlePubMedGoogle Scholar
- Delnevo CD, Hrywna M, Abatemarco DJ, Lewis MJ. Relationships between cigarette smoking and weight control in young women. Fam Commun Health. 2003;26:140–6.View ArticleGoogle Scholar
- Rotheram-Borus MJ, Swendeman D, Becker KD. Adapting evidence-based interventions using a common theory, practices, and principles. J Clin Child Adolesc Psychol. 2014;43:229–43.View ArticlePubMedGoogle Scholar
- Compendium of Evidence-Based Interventions and Best Practices for HIV Prevention. Centers for Disease Control and Prevention (CDC). http://www.cdc.gov/hiv/prevention/research/compendium/. Accessed 6 April 2015.
- National Registry of Evidence-based Programs and Practices. Substance Abuse and Mental Health Services Administration (SAMHSA). http://www.nrepp.samhsa.gov/. Accessed 6 April 2015.
- Sumartojo E. Structural factors in HIV prevention: concepts, examples, and implications for research. AIDS. 2000;14 Suppl 1:3–10.View ArticleGoogle Scholar
- Blankenship KM, Bray SJ, Merson MH. Structural interventions in public health. AIDS. 2000;14 Suppl 1:11–21.View ArticleGoogle Scholar
- Rotheram-Borus MJ. Expanding the range of interventions to reduce HIV among adolescents. AIDS. 2000;14 Suppl 1:33–40.View ArticleGoogle Scholar
- van Hasselt M, Kruger J, Han B, Caraballo RS, Penne MA, Loomis B, et al. The relation between tobacco taxes and youth and young adult smoking: what happened following the 2009 U.S. federal tax increase on cigarettes? Addict Behav. 2015;45:104–9.View ArticlePubMedPubMed CentralGoogle Scholar
- Wagenaar AC, Salois MJ, Komro KA. Effects of beverage alcohol price tax levels on drinking: a meta-analysis of 1003 estimates from 112 studies. Addiction. 2009;104:179–90.View ArticlePubMedGoogle Scholar
- Saffer H, Dave D. Alcohol advertising and alcohol consumption by adolescents. Health Econ. 2006;15:617–37.View ArticlePubMedGoogle Scholar
- Powell LM, Chriqui JF, Khan T, Wada R, Chaloupka FJ. Assessing the potential effectiveness of food and beverage taxes and subsidies for improving public health: a systematic review of prices, demand and body weight outcomes. Obes Rev. 2013;14:110–28.View ArticlePubMedGoogle Scholar
- O’Malley PM, Wagenaar AC. Effects of minimum drinking age laws on alcohol use, related behaviors and traffic crash involvement among American youth: 1976–1987. J Stud Alcohol. 1991;52:478–91.View ArticlePubMedGoogle Scholar
- Caswell JA, Mojduszka EM. Using informational labeling to influence the market for quality in food products. Agr Econ. 1996;78:1248–53.Google Scholar
- Farmers markets and local food marketing. United States Department of Argriculture, Agricultural Marketing Service. 2014. http://www.ams.usda.gov/AMSv1.0/ams.fetchTemplateData.do?template = TemplateS&leftNav = WholesaleandFarmersMarkets&page = WFMFarmersMarketGrowth&description = Farmers+Market+Growth. Accessed 6 April 2015.
- Black J. Number of Farmers Markets Mushrooms. Washington Post. 2009. http://voices.washingtonpost.com/all-we-can-eat/food-politics/number-of-farmers-markets-mush.html. Accessed 6 April 2015.
- European Communities. From farm to fork: safe food for Europe’s consumers. 2004. http://ec.europa.eu/dgs/health_food-safety/information_sources/docs/from_farm_to_fork_2004_en.pdf. Accessed 6 April 2015.
- Culture of Health. Robert Wood Johnson Foundation. http://www.rwjf.org/en/culture-of-health.html. Accessed 6 April 2015.
- Christensen CM. The innovator’s dilemma: when new technologies cause great firms to fail. Boston: Harvard Business School Press; 1997.Google Scholar
- Christensen CM, Grossman JH, Hwang J. The innovator’s prescription: a disruptive solution for health care. New York: McGraw-Hill; 2009.Google Scholar
- Rotheram-Borus MJ, Swendeman D, Chorpita B. Disruptive innovations for designing and diffusing evidence-based interventions. Am Psychol. 2012;67:463–76.View ArticlePubMedPubMed CentralGoogle Scholar
- The United States President’s Emergency Plan for AIDS Relief (PEPFAR). http://www.pepfar.gov/. Accessed 6 April 2015.
- The Global Fund to Fight AIDS, Tuberculosis and Malaria (GFATM). http://www.theglobalfund.org/en/. Accessed 6 April 2015.
- UNITAID. http://www.unitaid.eu/en/. Accessed 6 April 2015.
- Maharaj P, Cleland J. Integration of sexual and reproductive health services in KwaZulu-Natal. South Africa. Health Policy Plan. 2005;20:310–8.View ArticlePubMedGoogle Scholar
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