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Current Nutrition & Food Science

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ISSN (Print): 1573-4013
ISSN (Online): 2212-3881

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Systematic Review Article

Community-based Interventions to Reduce Fat Intake in Healthy Populations: A Systematic Review and Meta-Analysis

Author(s): Leila Nikniaz, Jafar Sadegh Tabrizi, Mahdieh Abbasalizad Farhangi, Samira Pourmoradian, Motahareh Allameh, Hosein Hoseinifard, Sanaz Tahmasebi and Zeinab Nikniaz*

Volume 18, Issue 7, 2022

Published on: 10 May, 2022

Page: [649 - 669] Pages: 21

DOI: 10.2174/1573401318666220308125105

Price: $65

Abstract

Background: Reducing fat intake is a major focus of most dietary recommendations aiming to prevent chronic diseases. Thus, this study aimed to summarize community-based interventions for reducing fat consumption among healthy people.

Materials and Methods: According to PRISMA guidelines, in this systematic review and metaanalysis, databases including PubMed/MEDLINE, Scopus, EMBASE, Cochrane Library, Web of Science, ProQuest, and Google Scholar were searched up to January 2021. Randomized clinical trials (RCTs) or quasi-experimental studies reporting the effect of community-based interventions to reduce fat intake in healthy populations were included. The quality of studies was assessed using the Cochrane Collaboration tool and The Joanna Briggs Institute Critical Appraisal Checklist. Meta-analysis was performed using CMA2 software.

Results: Our search strategy resulted in a total of 1,621 articles, 43 of which were included in the study after screening. Of the 43 included studies, 35 studies reported a significant decrease in fat intake using educational and multiple intervention methods. About 82 % of studies using the technology were effective in reducing fat intake. Moreover, studies specifically designed to change fat intake were more effective than multicomponent interventions. The meta-analysis of high-quality studies showed that the differences in total fat (-0.262 g/d) and saturated fat (-0.350 g/d) intake between the intervention and control groups were statistically significant (P <0.05).

Conclusion: Based on the high-quality studies, educational and multiple interventions are suggested in the community settings to decrease fat intake. In addition, long-term and high frequency interventions focusing on reducing fat intake are desirable.

Keywords: Community-based interventions, fat, nutrition, dietary, healthy population, non-communicable diseases.

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[1]
WHO Noncommunicable diseases country profiles 2018. Available from 2018.
[2]
Kontis V, Mathers CD, Rehm J, et al. Contribution of six risk factors to achieving the 25× 25 non-communicable disease mortality reduction target: A modelling study. 2014; 384(9941): 427-37.
[3]
Lipoeto NI, Geok Lin K, Angeles-Agdeppa I. Food consumption patterns and nutrition transition in South-East Asia. Public Health Nutr 2013; 16(9): 1637-43.
[http://dx.doi.org/10.1017/S1368980012004569] [PMID: 23157893]
[4]
Ganguly R, Pierce GN. The toxicity of dietary trans fats. Food Chem Toxicol 2015; 78: 170-6.
[http://dx.doi.org/10.1016/j.fct.2015.02.004] [PMID: 25684416]
[5]
Beaglehole R, Yach D. Globalisation and the prevention and control of non-communicable disease: the neglected chronic diseases of adults. Lancet 2003; 362(9387): 903-8.
[http://dx.doi.org/10.1016/S0140-6736(03)14335-8] [PMID: 13678979]
[6]
Baumann S, Toft U, Aadahl M, Jørgensen T, Pisinger C. The long-term effect of screening and lifestyle counseling on changes in physical activity and diet: the Inter99 Study - a randomized controlled trial. Int J Behav Nutr Phys Act 2015; 12(1): 33.
[http://dx.doi.org/10.1186/s12966-015-0195-3] [PMID: 25886540]
[7]
Farhangi MA, Keshavarz SA, Eshraghian M, Ostadrahimi A, Saboor-Yaraghi A-A. Vitamin A supplementation and serum Th1- and Th2-associated cytokine response in women. J Am Coll Nutr 2013; 32(4): 280-5.
[http://dx.doi.org/10.1080/07315724.2013.816616] [PMID: 24024773]
[8]
De Bourdeaudhuij I, Stevens V, Vandelanotte C, Brug J. Evaluation of an interactive computer-tailored nutrition intervention in a real-life setting. Ann Behav Med 2007; 33(1): 39-48.
[http://dx.doi.org/10.1207/s15324796abm3301_5] [PMID: 17291169]
[9]
Burke L, Lee AH, Jancey J, et al. Physical activity and nutrition behavioural outcomes of a home-based intervention program for seniors: A randomized controlled trial. Int J Behav Nutr Phys Act 2013; 10(1): 14.
[http://dx.doi.org/10.1186/1479-5868-10-14] [PMID: 23363616]
[10]
De Bourdeaudhuij I, Brug J. Tailoring dietary feedback to reduce fat intake: An intervention at the family level. Health Educ Res 2000; 15(4): 449-62.
[http://dx.doi.org/10.1093/her/15.4.449] [PMID: 11066462]
[11]
Epstein LH, Gordy CC, Raynor HA, Beddome M, Kilanowski CK, Paluch R. Increasing fruit and vegetable intake and decreasing fat and sugar intake in families at risk for childhood obesity. Obes Res 2001; 9(3): 171-8.
[http://dx.doi.org/10.1038/oby.2001.18] [PMID: 11323442]
[12]
Vartiainen E. The North Karelia Project: Cardiovascular disease prevention in Finland. Glob Cardiol Sci Pract 2018; 2018(2): 13.
[http://dx.doi.org/10.21542/gcsp.2018.13] [PMID: 30083543]
[13]
Anderson-Bill ES, Winett RA, Wojcik JR, Winett SG. Web-based guide to health: relationship of theoretical variables to change in physical activity, nutrition and weight at 16-months. J Med Internet Res 2011; 13(1)e27
[http://dx.doi.org/10.2196/jmir.1614] [PMID: 21447470]
[14]
Kroeze W, Oenema A, Campbell M, Brug J. The efficacy of Web-based and print-delivered computer-tailored interventions to reduce fat intake: Results of a randomized, controlled trial. J Nutr Educ Behav 2008; 40(4): 226-36.
[http://dx.doi.org/10.1016/j.jneb.2007.09.008] [PMID: 18565463]
[15]
Restrepo BJ, Rieger M. Denmark’s policy on artificial trans fat and cardiovascular disease. Am J Prev Med 2016; 50(1): 69-76.
[http://dx.doi.org/10.1016/j.amepre.2015.06.018] [PMID: 26319518]
[16]
Hyseni L, Bromley H, Kypridemos C, et al. Systematic review of dietary trans-fat reduction interventions. Bull World Health Organ 2017; 95(12): 821-830G.
[http://dx.doi.org/10.2471/BLT.16.189795] [PMID: 29200523]
[17]
Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Int J Surg 2010; 8(5): 336-41.
[http://dx.doi.org/10.1016/j.ijsu.2010.02.007] [PMID: 20171303]
[18]
McLeroy KR, Norton BL, Kegler MC, Burdine JN, Sumaya CV. Community-based interventions. Am J Public Health 2003; 93(4): 529-33.
[http://dx.doi.org/10.2105/AJPH.93.4.529] [PMID: 12660190]
[19]
Higgins JP, Thomas J, Chandler J, et al. Cochrane handbook for systematic reviews of interventions. Hoboken, NJ: John Wiley & Sons 2019.
[http://dx.doi.org/10.1002/9781119536604]
[20]
Tufanaru C, Munn Z, Aromataris E, Campbell J, Hopp L. Chapter 3: Systematic reviews of effectiveness. In: Aromataris E, Munn Z, Eds. JBI manual for evidence synthesis. The Joanna Briggs Institute 2017. Available from:
[21]
Sterne JA, Egger M. Regression methods to detect publication and other bias in meta-analysis. In: Rothstein HR, Sutton AJ, Borenstein M, Eds.Publication Bias in Meta-Analysis: Prevention, Assessment and Adjustments. Hoboken, NJ: Wiley Online Library 2005; pp. 99-110.
[http://dx.doi.org/10.1002/0470870168.ch6]
[22]
Anand SS, Davis AD, Ahmed R, et al. A family-based intervention to promote healthy lifestyles in an aboriginal community in Canada. Can J Public Health 2007; 98(6): 447-52.
[http://dx.doi.org/10.1007/BF03405436] [PMID: 19039880]
[23]
Baumann S, Toft U, Aadahl M, Jørgensen T, Pisinger C. The long-term effect of screening and lifestyle counseling on changes in physical activity and diet: the Inter99 study–a randomized controlled trial. Int J Behav Nutr Phys Act 2015; 12(1): 33.
[http://dx.doi.org/10.1186/s12966-015-0195-3] [PMID: 25886540]
[24]
Blackford K, Jancey J, Lee AH, James A, Howat P, Waddell T. Effects of a home-based intervention on diet and physical activity behav-iours for rural adults with or at risk of metabolic syndrome: a randomised controlled trial. Int J Behav Nutr Phys Act 2016; 13(1): 13.
[http://dx.doi.org/10.1186/s12966-016-0337-2] [PMID: 26830197]
[25]
Blomfield RL, Collins CE, Hutchesson MJ, et al. Impact of self-help weight loss resources with or without online support on the dietary intake of overweight and obese men: The SHED-IT randomised controlled trial. Obes Res Clin Pract 2014; 8(5): e476-87.
[http://dx.doi.org/10.1016/j.orcp.2013.09.004] [PMID: 25263837]
[26]
Esfarjani F, Khalafi M, Mohammadi F, et al. Family-based intervention for controlling childhood obesity: an experience among Iranian children. Int J Prev Med 2013; 4(3): 358-65.
[PMID: 23626894]
[27]
Finckenor M, Byrd-Bredbenner C. Nutrition intervention group program based on preaction-stage–oriented change processes of the trans-theoretical model promotes long-term reduction in dietary fat intake. J Am Diet Assoc 2000; 100(3): 335-42.
[http://dx.doi.org/10.1016/S0002-8223(00)00104-8] [PMID: 10719408]
[28]
Fries E, Edinboro P, McClish D, et al. Randomized trial of a low-intensity dietary intervention in rural residents: the Rural Physician Can-cer Prevention Project. Am J Prev Med 2005; 28(2): 162-8.
[http://dx.doi.org/10.1016/j.amepre.2004.10.017] [PMID: 15710271]
[29]
Hageman PA, Pullen CH, Hertzog M, Boeckner LS. Effectiveness of tailored lifestyle interventions, using web-based and print-mail, for reducing blood pressure among rural women with prehypertension: main results of the Wellness for Women: DASHing towards Health clinical trial. Int J Behav Nutr Phys Act 2014; 11(1): 148.
[http://dx.doi.org/10.1186/s12966-014-0148-2] [PMID: 25480461]
[30]
Hendrie GA, Golley RK. Changing from regular-fat to low-fat dairy foods reduces saturated fat intake but not energy intake in 4–13-y-old children. Am J Clin Nutr 2011; 93(5): 1117-27.
[http://dx.doi.org/10.3945/ajcn.110.010694] [PMID: 21430121]
[31]
Jancey JM, Monteiro SMDR, Dhaliwal SS, et al. Dietary outcomes of a community based intervention for mothers of young children: a randomised controlled trial. Int J Behav Nutr Phys Act 2014; 11(1): 120.
[http://dx.doi.org/10.1186/s12966-014-0120-1] [PMID: 25245213 ]
[32]
Juul L, Andersen VJ, Arnoldsen J, Maindal HT. Effectiveness of a brief theory-based health promotion intervention among adults at high risk of type 2 diabetes: One-year results from a randomised trial in a community setting. Prim Care Diabetes 2016; 10(2): 111-20.
[http://dx.doi.org/10.1016/j.pcd.2015.07.002]
[33]
Kattelmann KK, Bredbenner CB, White AA, et al. The effects of Young Adults Eating and Active for Health (YEAH): a theory-based Web-delivered intervention. J Nutr Educ Behav 2014; 46(6): S27-41.
[http://dx.doi.org/10.1016/j.jneb.2014.08.007] [PMID: 25457733]
[34]
Kegler MC, Alcantara I, Veluswamy J, Haardörfer R, Hotz JA, Glanz K. Results from an intervention to improve rural home food and physical activity environments. Prog Community Health Partnerships: research, education, and action 2012; 6(3): 265-77.
[http://dx.doi.org/10.1353/cpr.2012.0042] [PMID: 22982840]
[35]
Kieffer EC, Welmerink DB, Sinco BR, et al. Dietary outcomes in a Spanish-language randomized controlled diabetes prevention trial with pregnant Latinas. Am J Public Health 2014; 104(3): 526-33.
[http://dx.doi.org/10.2105/AJPH.2012.301122] [PMID: 23763411]
[36]
Kolahdooz F, Pakseresht M, Mead E, Beck L, Corriveau A, Sharma S. Impact of the Healthy Foods North nutrition intervention program on Inuit and Inuvialuit food consumption and preparation methods in Canadian Arctic communities. Nutr J 2014; 13(1): 68.
[http://dx.doi.org/10.1186/1475-2891-13-68] [PMID: 24993180]
[37]
Kontogianni MD, Liatis S, Grammatikou S, Perrea D, Katsilambros N, Makrilakis K. Changes in dietary habits and their association with metabolic markers after a non-intensive, community-based lifestyle intervention to prevent type 2 diabetes, in Greece. The DEPLAN study. Diabetes Res Clin Pract 2012; 95(2): 207-14.
[http://dx.doi.org/10.1016/j.diabres.2011.09.010] [PMID: 21955962]
[38]
Korpi-Hyövälti E, Schwab U, Laaksonen DE, Linjama H, Heinonen S, Niskanen L. Effect of intensive counselling on the quality of die-tary fats in pregnant women at high risk of gestational diabetes mellitus. Br J Nutr 2012; 108(5): 910-7.
[http://dx.doi.org/10.1017/S0007114511006118] [PMID: 22093485]
[39]
Mohammadifard N, Kelishadi R, Safavi M, et al. Effect of a community-based intervention on nutritional behaviour in a developing coun-try setting: the Isfahan Healthy Heart Programme. Public Health Nutr 2009; 12(9): 1422-30.
[http://dx.doi.org/10.1017/S1368980008004230] [PMID: 19220925]
[40]
Nisbeth O, Klausen K, Andersen LB. Effectiveness of counselling over 1 year on changes in lifestyle and coronary heart disease risk factors. Patient Educ Couns 2000; 40(2): 121-31.
[http://dx.doi.org/10.1016/s0738-3991(99)00053-1] [PMID: 10771366]
[41]
Ockene IS, Tellez TL, Rosal MC, et al. Outcomes of a Latino community-based intervention for the prevention of diabetes: the Lawrence Latino Diabetes Prevention Project. Am J Public Health 2012; 102(2): 336-42.
[http://dx.doi.org/10.2105/AJPH.2011.300357] [PMID: 22390448]
[42]
Oenema A, Brug J, Dijkstra A, de Weerdt I, de Vries H. Efficacy and use of an internet-delivered computer-tailored lifestyle intervention, targeting saturated fat intake, physical activity and smoking cessation: a randomized controlled trial. Ann Behav Med 2008; 35(2): 125-35.
[http://dx.doi.org/10.1007/s12160-008-9023-1] [PMID: 18363076]
[43]
Patrick K, Calfas KJ, Norman GJ, et al. Randomized controlled trial of a primary care and home-based intervention for physical activity and nutrition behaviors: PACE+ for adolescents. Arch Pediatr Adolesc Med 2006; 160(2): 128-36.
[http://dx.doi.org/10.1001/archpedi.160.2.128] [PMID: 16461867]
[44]
Plotnikoff RC, McCargar LJ, Wilson PM, Loucaides CA. Efficacy of an E-mail intervention for the promotion of physical activity and nutrition behavior in the workplace context. Am J Health Promot 2005; 19(6): 422-9.
[http://dx.doi.org/10.4278/0890-1171-19.6.422] [PMID: 16022206]
[45]
Prestwich A, Conner MT, Lawton RJ, Ward JK, Ayres K, McEachan RR. Partner‐and planning‐based interventions to reduce fat con-sumption: Randomized controlled trial. Br J Health Psychol 2014; 19(1): 132-48.
[http://dx.doi.org/10.1111/bjhp.12047] [PMID: 23659492]
[46]
Resnicow K, Campbell MK, Carr C, et al. Body and soul: a dietary intervention conducted through African-American churches. Am J Prev Med 2004; 27(2): 97-105.
[http://dx.doi.org/10.1016/j.amepre.2004.04.009] [PMID: 15261895]
[47]
Rubinstein A, Miranda JJ, Beratarrechea A, et al. Effectiveness of an mHealth intervention to improve the cardiometabolic profile of peo-ple with prehypertension in low-resource urban settings in Latin America: a randomised controlled trial. Lancet Diabetes Endocrinol 2016; 4(1): 52-63.
[http://dx.doi.org/10.1016/S2213-8587(15)00381-2] [PMID: 26653067]
[48]
Soureti A, Murray P, Cobain M, Chinapaw M, van Mechelen W, Hurling R. Exploratory study of web-based planning and mobile text reminders in an overweight population. J Med Internet Res 2011; 13(4)e118
[http://dx.doi.org/10.2196/jmir.1773] [PMID: 22182483]
[49]
Springvloet L, Lechner L, de Vries H, Candel MJ, Oenema A. Short-and medium-term efficacy of a Web-based computer-tailored nutrition education intervention for adults including cognitive and environmental feedback: randomized controlled trial. J Med Internet Res 2015; 17(1)e23
[http://dx.doi.org/10.2196/jmir.3837] [PMID: 25599828]
[50]
Springvloet L, Lechner L, de Vries H, Oenema A. Long-term efficacy of a Web-based computer-tailored nutrition education intervention for adults including cognitive and environmental feedback: a randomized controlled trial. BMC Public Health 2015; 15(1): 372.
[http://dx.doi.org/10.1186/s12889-015-1707-4] [PMID: 25887891]
[51]
Tapper K, Jiga-Boy G, Maio GR, Haddock G, Lewis M. Development and preliminary evaluation of an internet-based healthy eating pro-gram: randomized controlled trial. J Med Internet Res 2014; 16(10)e231
[http://dx.doi.org/10.2196/jmir.3534] [PMID: 25305376]
[52]
Toft U, Kristoffersen L, Ladelund S, et al. The impact of a population-based multi-factorial lifestyle intervention on changes in long-term dietary habits: the Inter99 study. Prev Med 2008; 47(4): 378-83.
[http://dx.doi.org/10.1016/j.ypmed.2008.05.013] [PMID: 18590758]
[53]
Toft U, Kristoffersen L, Ladelund S, et al. The effect of adding group-based counselling to individual lifestyle counselling on changes in dietary intake. The Inter99 study–a randomized controlled trial. Int J Behav Nutr Phys Act 2008; 5(1): 59.
[http://dx.doi.org/10.1186/1479-5868-5-59] [PMID: 19025583]
[54]
Tokunaga-Nakawatase Y, Nishigaki M, Taru C, et al. Computer-supported indirect-form lifestyle-modification support program using Lifestyle Intervention Support Software for Diabetes Prevention (LISS-DP) for people with a family history of type 2 diabetes in a medical checkup setting: a randomized controlled trial. Prim Care Diabetes 2014; 8(3): 207-14.
[http://dx.doi.org/10.1016/j.pcd.2014.01.007] [PMID: 24529485]
[55]
Vita P, Cardona-Morrell M, Bauman A, et al. Type 2 diabetes prevention in the community: 12-Month outcomes from the Sydney Diabe-tes Prevention Program. Diabetes Res Clin Pract 2016; 112: 13-9.
[http://dx.doi.org/10.1016/j.diabres.2015.11.010] [PMID: 26724186]
[56]
Wijdenes M, Henneman L, Qureshi N, Kostense PJ, Cornel MC, Timmermans DR. Using web-based familial risk information for diabetes prevention: a randomized controlled trial. BMC Public Health 2013; 13(1): 485.
[http://dx.doi.org/10.1186/1471-2458-13-485] [PMID: 23683372]
[57]
Wilcox S, Parrott A, Baruth M, et al. The Faith, Activity, and Nutrition program: a randomized controlled trial in African-American churches. Am J Prev Med 2013; 44(2): 122-31.
[http://dx.doi.org/10.1016/j.amepre.2012.09.062] [PMID: 23332327]
[58]
Parra-Medina D, Wilcox S, Salinas J, et al. Results of the Heart Healthy and Ethnically Relevant Lifestyle trial: A cardiovascular risk reduction intervention for African American women attending community health centers. Am J Public Health 2011; 101(10): 1914-21.
[http://dx.doi.org/10.2105/AJPH.2011.300151] [PMID: 21852629]
[59]
Kelly JA, Murphy DA, Sikkema KJ, et al. Randomised, controlled, community-level HIV-prevention intervention for sexual-risk behaviour among homosexual men in US cities. Lancet 1997; 350(9090): 1500-5.
[http://dx.doi.org/10.1016/S0140-6736(97)07439-4] [PMID: 9388397]
[60]
Berge JM, Everts JC. Family-based interventions targeting childhood obesity: A meta-analysis. Child Obes 2011; 7(2): 110-21.
[http://dx.doi.org/10.1089/chi.2011.07.02.1004.berge] [PMID: 26182126]
[61]
Ferrell B, Wittenberg E. A review of family caregiving intervention trials in oncology. CA Cancer J Clin 2017; 67(4): 318-25.
[http://dx.doi.org/10.3322/caac.21396] [PMID: 28319263]
[62]
Kumpfer K. Family-based interventions for the prevention of substance abuse and other impulse control disorders in girls. ISRN Addict 2014; 2014308789
[http://dx.doi.org/10.1155/2014/308789]
[63]
Rhee KE, De Lago CW, Arscott-Mills T, Mehta SD, Davis RK. Factors associated with parental readiness to make changes for overweight children. Pediatrics 2005; 116(1): e94-e101.
[http://dx.doi.org/10.1542/peds.2004-2479] [PMID: 15995022]
[64]
Sung-Chan P, Sung YW, Zhao X, Brownson RC. Family-based models for childhood-obesity intervention: A systematic review of randomized controlled trials. Obes Rev 2013; 14(4): 265-78.
[http://dx.doi.org/10.1111/obr.12000] [PMID: 23136914]
[65]
Ghaemmaghami SJ, Nikniaz L, Mahdavi R, Nikniaz Z, Razmifard F, Afsharnia F. Effects of infants’ birth order, maternal age, and socio-economic status on birth weight. Saudi Med J 2013; 34(9): 949-53.
[PMID: 24043008]
[66]
Glanz K, Sorensen G, Farmer A. The health impact of worksite nutrition and cholesterol intervention programs. Am J Health Promot 1996; 10(6): 453-70.
[http://dx.doi.org/10.4278/0890-1171-10.6.453] [PMID: 10163311]
[67]
Hennrikus DJ, Jeffery RW. Worksite intervention for weight control: A review of the literature. Am J Health Promot 1996; 10(6): 471-98.
[http://dx.doi.org/10.4278/0890-1171-10.6.471] [PMID: 10163312]
[68]
Wilson MG, Holman PB, Hammock A. A comprehensive review of the effects of worksite health promotion on health-related outcomes. Am J Health Promot 1996; 10(6): 429-35.
[http://dx.doi.org/10.4278/0890-1171-10.6.429] [PMID: 10163309]
[69]
Crilly JF, Keefe RH, Volpe F. Use of electronic technologies to promote community and personal health for individuals unconnected to health care systems. American Public Health Association 2011.
[http://dx.doi.org/10.2105/AJPH.2010.300003]
[70]
Griffin N, Kehoe M. A questionnaire study to explore the views of people with multiple sclerosis of using smartphone technology for health care purposes. Disabil Rehabil 2018; 40(12): 1434-42.
[http://dx.doi.org/10.1080/09638288.2017.1300332] [PMID: 28322588]
[71]
Rehman H, Kamal AK, Sayani S, Morris PB, Merchant AT, Virani SS. Using mobile health (mHealth) technology in the management of diabetes mellitus, physical inactivity, and smoking. Curr Atheroscler Rep 2017; 19(4): 16.
[http://dx.doi.org/10.1007/s11883-017-0650-5] [PMID: 28243807]
[72]
Kwak L, Kremers SP, Werkman A, Visscher TL, van Baak MA, Brug J. The NHF-NRG in balance-project: The application of intervention mapping in the development, implementation and evaluation of weight gain prevention at the worksite. Obes Rev 2007; 8(4): 347-61.
[http://dx.doi.org/10.1111/j.1467-789X.2006.00304.x] [PMID: 17578384]
[73]
Browne S, Minozzi S, Bellisario C, Sweeney MR, Susta D. Effectiveness of interventions aimed at improving dietary behaviours among people at higher risk of or with chronic non-communicable diseases: An overview of systematic reviews. Eur J Clin Nutr 2019; 73(1): 9-23.
[PMID: 30353122]
[74]
Axelsson J, Stenvinkel P. Role of fat mass and adipokines in chronic kidney disease. Curr Opin Nephrol Hypertens 2008; 17(1): 25-31.
[http://dx.doi.org/10.1097/MNH.0b013e3282f2905f] [PMID: 18090666]
[75]
Azevedo ECdC, Diniz AdS, Monteiro JS, Cabral PC. Dietary risk patterns for non-communicable chronic diseases and their association with body fat-a systematic review. Cien Saude Colet 2014; 19(5): 1447-58.
[PMID: 24897210]
[76]
Chittal P, Babu AS, Lavie CJ. Obesity paradox: Does fat alter outcomes in chronic obstructive pulmonary disease? COPD 2015; 12(1): 14-8.
[http://dx.doi.org/10.3109/15412555.2014.915934] [PMID: 24945083]
[77]
Horwath CC. Applying the transtheoretical model to eating behaviour change: Challenges and opportunities. Nutr Res Rev 1999; 12(2): 281-317.
[http://dx.doi.org/10.1079/095442299108728965] [PMID: 19087455]
[78]
Murphy EA, Velazquez KT, Herbert KM. Influence of high-fat diet on gut microbiota: A driving force for chronic disease risk. Curr Opin Clin Nutr Metab Care 2015; 18(5): 515-20.
[http://dx.doi.org/10.1097/MCO.0000000000000209] [PMID: 26154278]
[79]
Boutayeb A, Boutayeb S. The burden of non communicable diseases in developing countries. Int J Equity Health 2005; 4(1): 2.
[http://dx.doi.org/10.1186/1475-9276-4-2] [PMID: 15651987]
[80]
Nugent RA, Fathima SF, Feigl AB, Chyung D. The burden of chronic kidney disease on developing nations: A 21st century challenge in global health. Nephron Clin Pract 2011; 118(3): c269-77.
[http://dx.doi.org/10.1159/000321382] [PMID: 21212690]

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