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Bi-directional associations between healthy lifestyles and mood disorders in young adults: The Childhood Determinants of Adult Health Study

Published online by Cambridge University Press:  24 June 2016

S. L. Gall ,
K. Sanderson ,
K. J. Smith ,
G. Patton ,
T. Dwyer  and
A. Venn
S. L. Gall*
Affiliation:
University of Tasmania, Menzies Institute for Medical Research, Hobart, TAS, Australia
K. Sanderson
Affiliation:
University of Tasmania, Menzies Institute for Medical Research, Hobart, TAS, Australia
K. J. Smith
Affiliation:
University of Tasmania, Menzies Institute for Medical Research, Hobart, TAS, Australia
G. Patton
Affiliation:
Murdoch Children's Research Institute, Centre for Adolescent Health, Parkville, VIC, Australia
T. Dwyer
Affiliation:
University of Tasmania, Menzies Institute for Medical Research, Hobart, TAS, Australia University of Oxford, George Institute for Global Health, Oxford, UK
A. Venn
Affiliation:
University of Tasmania, Menzies Institute for Medical Research, Hobart, TAS, Australia
*
*Address for correspondence: S. L. Gall, Ph.D., University of Tasmania, Menzies Institute for Medical Research, MS2, Medical Science Precinct, 17 Liverpool Street, Hobart, TAS 7005, Australia. (Email: [email protected])
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Abstract

Background

Healthy lifestyles prevent cardiovascular disease and are increasingly recognized in relation to mental health but longitudinal studies are limited. We examined bi-directional associations between mood disorders and healthy lifestyles in a cohort followed for 5 years.

Method

Participants were aged 26–36 years at baseline (2004–2006) and 31–41 years at follow-up (2009–2011). At follow-up, lifetime mood disorders (depression or dysthymia) were retrospectively diagnosed with the Composite International Diagnostic Interview. A five-item lifestyle score (comprising body mass index, non-smoking, alcohol consumption, leisure time physical activity and healthy diet) was measured at both time points. Linear and log multinomial regression determined if mood disorder before baseline predicted changes in lifestyle (n = 1041). Log binomial regression estimated whether lifestyle at baseline predicted new episodes of mood disorder (n = 1233). Covariates included age, sex, socio-economic position, parental and marital status, social support, major life events, cardiovascular disease history, and self-rated physical and mental health.

Results

A history of mood disorder before baseline predicted unfavourable trajectories of lifestyle over follow-up, including somewhat lower risk of improvement [relative risk (RR) 0.76, 95% confidence interval (CI) 0.56–1.03] and greater risk of worsening (RR 1.46, 95% CI 0.99–2.15) of lifestyle independent of confounding factors. Higher lifestyle scores at baseline were associated with a 22% (RR 0.76, 95% CI 0.61–0.95) reduced risk of first episodes of mood disorder, independent of confounding factors.

Conclusions

Healthy lifestyles and mood disorders are closely related. Our results suggest that healthy lifestyles may not only reduce cardiovascular disease but also promote mental health.

Keywords

Adultslongitudinal studiesmood disorderrisk reduction behaviour
Type
Original Articles
Information
Psychological Medicine , Volume 46 , Issue 12 , September 2016 , pp. 2535 - 2548
Copyright
Copyright © Cambridge University Press 2016 

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References

American Psychiatric Association (2000). Diagnostic and Statistical Manual of Mental Disorders, 4th edn. APA: Washington, DC.Google Scholar
An, LC, Demers, MR, Kirch, MA, Considine-Dunn, S, Nair, V, Dasgupta, K, Narisetty, N, Resnicow, K, Ahluwalia, J (2013). A randomized trial of an avatar-hosted multiple behavior change intervention for young adult smokers. Journal of the National Cancer Institute. Monographs 2013, 209–215.CrossRefGoogle ScholarPubMed
Australian Bureau of Statistics (2007). 4326.0 – National Survey of Mental Health and Wellbeing: Summary of Results, 2007 (http://www.abs.gov.au/ausstats/[email protected]/mf/4326.0). Accessed April 2016.Google Scholar
Australian Bureau of Statistics (2011). Australian Health Survey (http://www.abs.gov.au/websitedbs/D3310114.nsf/Home/Australian+Health+Survey). Accessed June 2011.Google Scholar
Baird, D, Clarke, D (2011). The whole person model: a collaborative approach to chronic disease management. Health Issues 106, 21–26.Google Scholar
Baler, RD, Volkow, ND (2011). Addiction as a systems failure: focus on adolescence and smoking. Journal of the American Academy of Child and Adolescent Psychiatry 50, 329–339.Google Scholar
Berk, M, Kapczinski, F, Andreazza, AC, Dean, OM, Giorlando, F, Maes, M, Yucel, M, Gama, CS, Dodd, S, Dean, B, Magalhaes, PV, Amminger, P, McGorry, P, Malhi, GS (2011). Pathways underlying neuroprogression in bipolar disorder: focus on inflammation, oxidative stress and neurotrophic factors. Neuroscience and Biobehavioral Reviews 35, 804–817.Google Scholar
Bjorngaard, JH, Gunnell, D, Elvestad, MB, Davey Smith, G, Skorpen, F, Krokan, H, Vatten, L, Romundstad, P (2013). The causal role of smoking in anxiety and depression: a Mendelian randomization analysis of the HUNT study. Psychological Medicine 43, 711–719.CrossRefGoogle ScholarPubMed
Brugha, TS, Cragg, D (1990). The List of Threatening Experiences: the reliability and validity of a brief life events questionnaire. Acta Psychiatrica Scandinavica 82, 77–81.CrossRefGoogle ScholarPubMed
Butler, CC, Simpson, SA, Hood, K, Cohen, D, Pickles, T, Spanou, C, McCambridge, J, Moore, L, Randell, E, Alam, MF, Kinnersley, P, Edwards, A, Smith, C, Rollnick, S (2013). Training practitioners to deliver opportunistic multiple behaviour change counselling in primary care: a cluster randomised trial. British Medical Journal 346, f1191.CrossRefGoogle ScholarPubMed
Chaiton, MO, Cohen, JE, O'Loughlin, J, Rehm, J (2009). A systematic review of longitudinal studies on the association between depression and smoking in adolescents. BMC Public Health 9, 356.Google Scholar
Chaouloff, F (1997). Effects of acute physical exercise on central serotonergic systems. Medicine and Science in Sports and Exercise 29, 58–62.Google Scholar
Costa, PTJ, McCrae, RR (1992). Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI) Professional Manual. Psychological Assessment Resources: Odessa, FL.Google Scholar
Cuijpers, P, Van Straten, A, Warmerdam, L, Andersson, G (2008). Psychological treatment of depression: a meta-analytic database of randomized studies. BMC Psychiatry 8, 36.Google Scholar
Dani, JA, De Biasi, M (2001). Cellular mechanisms of nicotine addiction. Pharmacology, Biochemistry and Behavior 70, 439–446.Google Scholar
De Geus, EJ, Bartels, M, Kaprio, J, Lightfoot, JT, Thomis, M (2014). Genetics of regular exercise and sedentary behaviors. Twin Research and Human Genetics 17, 262–271.Google Scholar
De Wit, L, Luppino, F, Van Straten, A, Penninx, B, Zitman, F, Cuijpers, P (2010). Depression and obesity: a meta-analysis of community-based studies. Psychiatry Research 178, 230–235.Google Scholar
Dixit, AR, Crum, RM (2000). Prospective study of depression and the risk of heavy alcohol use in women. American Journal of Psychiatry 157, 751–758.Google Scholar
Gall, S, Jamrozik, K, Blizzard, CL, Dwyer, T, Venn, A (2009). Healthy lifestyles and cardiovascular risk profiles in young Australian adults: The Childhood Determinants of Adult Health (CDAH) Study. European Journal of Cardiovascular Prevention and Rehabilitation 16, 684–689.Google Scholar
Gall, SL, Abbott-Chapman, J, Patton, GC, Dwyer, T, Venn, A (2010). Intergenerational educational mobility is associated with cardiovascular disease risk behaviours in a cohort of young Australian adults: the Childhood Determinants of Adult Health (CDAH) Study. BMC Public Health 10, 55.CrossRefGoogle Scholar
GBD 2013 Risk Factors Collaborators, Forouzanfar, MH, Alexander, L, Anderson, HR, Bachman, VF, Biryukov, S, Brauer, M, Burnett, R, Casey, D, Coates, MM, Cohen, A, Delwiche, K, Estep, K, Frostad, JJ, Astha, KC, Kyu, HH, Moradi-Lakeh, M, Ng, M, Slepak, EL, Thomas, BA, Wagner, J, Aasvang, GM, Abbafati, C, Abbasoglu Ozgoren, A, Abd-Allah, F, Abera, SF, Aboyans, V, Abraham, B, Abraham, JP, Abubakar, I, Abu-Rmeileh, NM, Aburto, TC, Achoki, T, Adelekan, A, Adofo, K, Adou, AK, Adsuar, JC, Afshin, A, Agardh, EE, Al Khabouri, MJ, Al Lami, FH, Alam, SS, Alasfoor, D, Albittar, MI, Alegretti, MA, Aleman, AV, Alemu, ZA, Alfonso-Cristancho, R, Alhabib, S, Ali, R, Ali, MK, Alla, F, Allebeck, P, Allen, PJ, Alsharif, U, Alvarez, E, Alvis-Guzman, N, Amankwaa, AA, Amare, AT, Ameh, EA, Ameli, O, Amini, H, Ammar, W, Anderson, BO, Antonio, CA, Anwari, P, Argeseanu Cunningham, S, Arnlöv, J, Arsenijevic, VS, Artaman, A, Asghar, RJ, Assadi, R, Atkins, LS, Atkinson, C, Avila, MA, Awuah, B, Badawi, A, Bahit, MC, Bakfalouni, T, Balakrishnan, K, Balalla, S, Balu, RK, Banerjee, A, Barber, RM, Barker-Collo, SL, Barquera, S, Barregard, L, Barrero, LH, Barrientos-Gutierrez, T, Basto-Abreu, AC, Basu, A, Basu, S, Basulaiman, MO, Batis Ruvalcaba, C, Beardsley, J, Bedi, N, Bekele, T, Bell, ML, Benjet, C, Bennett, DA, Benzian, H, Bernabé, E, Beyene, TJ, Bhala, N, Bhalla, A, Bhutta, ZA, Bikbov, B, Bin Abdulhak, AA, Blore, JD, Blyth, FM, Bohensky, MA, Bora Başara, B, Borges, G, Bornstein, NM, Bose, D, Boufous, S, Bourne, RR, Brainin, M, Brazinova, A, Breitborde, NJ, Brenner, H, Briggs, AD, Broday, DM, Brooks, PM, Bruce, NG, Brugha, TS, Brunekreef, B, Buchbinder, R, Bui, LN, Bukhman, G, Bulloch, AG, Burch, M, Burney, PG, Campos-Nonato, IR, Campuzano, JC, Cantoral, AJ, Caravanos, J, Cárdenas, R, Cardis, E, Carpenter, DO, Caso, V, Castañeda-Orjuela, CA, Castro, RE, Catalá-López, F, Cavalleri, F, Çavlin, A, Chadha, VK, Chang, JC, Charlson, FJ, Chen, H, Chen, W, Chen, Z, Chiang, PP, Chimed-Ochir, O, Chowdhury, R, Christophi, CA, Chuang, TW, Chugh, SS, Cirillo, M, Claßen, TK, Colistro, V, Colomar, M, Colquhoun, SM, Contreras, AG, Cooper, C, Cooperrider, K, Cooper, LT, Coresh, J, Courville, KJ, Criqui, MH, Cuevas-Nasu, L, Damsere-Derry, J, Danawi, H, Dandona, L, Dandona, R, Dargan, PI, Davis, A, Davitoiu, DV, Dayama, A, de Castro, EF, De la Cruz-Góngora, V, De Leo, D, de Lima, G, Degenhardt, L, del Pozo-Cruz, B, Dellavalle, RP, Deribe, K, Derrett, S, Des Jarlais, DC, Dessalegn, M, deVeber, GA, Devries, KM, Dharmaratne, SD, Dherani, MK, Dicker, D, Ding, EL, Dokova, K, Dorsey, ER, Driscoll, TR, Duan, L, Durrani, AM, Ebel, BE, Ellenbogen, RG, Elshrek, YM, Endres, M, Ermakov, SP, Erskine, HE, Eshrati, B, Esteghamati, A, Fahimi, S, Faraon, EJ, Farzadfar, F, Fay, DF, Feigin, VL, Feigl, AB, Fereshtehnejad, SM, Ferrari, AJ, Ferri, CP, Flaxman, AD, Fleming, TD, Foigt, N, Foreman, KJ, Paleo, UF, Franklin, RC, Gabbe, B, Gaffikin, L, Gakidou, E, Gamkrelidze, A, Gankpé, FG, Gansevoort, RT, García-Guerra, FA, Gasana, E, Geleijnse, JM, Gessner, BD, Gething, P, Gibney, KB, Gillum, RF, Ginawi, IA, Giroud, M, Giussani, G, Goenka, S, Goginashvili, K, Gomez Dantes, H, Gona, P, Gonzalez de Cosio, T, González-Castell, D, Gotay, CC, Goto, A, Gouda, HN, Guerrant, RL, Gugnani, HC, Guillemin, F, Gunnell, D, Gupta, R, Gupta, R, Gutiérrez, RA, Hafezi-Nejad, N, Hagan, H, Hagstromer, M, Halasa, YA, Hamadeh, RR, Hammami, M, Hankey, GJ, Hao, Y, Harb, HL, Haregu, TN, Haro, JM, Havmoeller, R, Hay, SI, Hedayati, MT, Heredia-Pi, IB, Hernandez, L, Heuton, KR, Heydarpour, P, Hijar, M, Hoek, HW, Hoffman, HJ, Hornberger, JC, Hosgood, HD, Hoy, DG, Hsairi, M, Hu, G, Hu, H, Huang, C, Huang, JJ, Hubbell, BJ, Huiart, L, Husseini, A, Iannarone, ML, Iburg, KM, Idrisov, BT, Ikeda, N, Innos, K, Inoue, M, Islami, F, Ismayilova, S, Jacobsen, KH, Jansen, HA, Jarvis, DL, Jassal, SK, Jauregui, A, Jayaraman, S, Jeemon, P, Jensen, PN, Jha, V, Jiang, F, Jiang, G, Jiang, Y, Jonas, JB, Juel, K, Kan, H, Kany Roseline, SS, Karam, NE, Karch, A, Karema, CK, Karthikeyan, G, Kaul, A, Kawakami, N, Kazi, DS, Kemp, AH, Kengne, AP, Keren, A, Khader, YS, Khalifa, SE, Khan, EA, Khang, YH, Khatibzadeh, S, Khonelidze, I, Kieling, C, Kim, D, Kim, S, Kim, Y, Kimokoti, RW, Kinfu, Y, Kinge, JM, Kissela, BM, Kivipelto, M, Knibbs, LD, Knudsen, AK, Kokubo, Y, Kose, MR, Kosen, S, Kraemer, A, Kravchenko, M, Krishnaswami, S, Kromhout, H, Ku, T, Kuate Defo, B, Kucuk Bicer, B, Kuipers, EJ, Kulkarni, C, Kulkarni, VS, Kumar, GA, Kwan, GF, Lai, T, Lakshmana Balaji, A, Lalloo, R, Lallukka, T, Lam, H, Lan, Q, Lansingh, VC, Larson, HJ, Larsson, A, Laryea, DO, Lavados, PM, Lawrynowicz, AE, Leasher, JL, Lee, JT, Leigh, J, Leung, R, Levi, M, Li, Y, Li, Y, Liang, J, Liang, X, Lim, SS, Lindsay, MP, Lipshultz, SE, Liu, S, Liu, Y, Lloyd, BK, Logroscino, G, London, SJ, Lopez, N, Lortet-Tieulent, J, Lotufo, PA, Lozano, R, Lunevicius, R, Ma, J, Ma, S, Machado, VM, MacIntyre, MF, Magis-Rodriguez, C, Mahdi, AA, Majdan, M, Malekzadeh, R, Mangalam, S, Mapoma, CC, Marape, M, Marcenes, W, Margolis, DJ, Margono, C, Marks, GB, Martin, RV, Marzan, MB, Mashal, MT, Masiye, F, Mason-Jones, AJ, Matsushita, K, Matzopoulos, R, Mayosi, BM, Mazorodze, TT, McKay, AC, McKee, M, McLain, A, Meaney, PA, Medina, C, Mehndiratta, MM, Mejia-Rodriguez, F, Mekonnen, W, Melaku, YA, Meltzer, M, Memish, ZA, Mendoza, W, Mensah, GA, Meretoja, A, Mhimbira, FA, Micha, R, Miller, TR, Mills, EJ, Misganaw, A, Mishra, S, Mohamed Ibrahim, N, Mohammad, KA, Mokdad, AH, Mola, GL, Monasta, L, Montañez Hernandez, JC, Montico, M, Moore, AR, Morawska, L, Mori, R, Moschandreas, J, Moturi, WN, Mozaffarian, D, Mueller, UO, Mukaigawara, M, Mullany, EC, Murthy, KS, Naghavi, M, Nahas, Z, Naheed, A, Naidoo, KS, Naldi, L, Nand, D, Nangia, V, Narayan, KM, Nash, D, Neal, B, Nejjari, C, Neupane, SP, Newton, CR, Ngalesoni, FN, Ngirabega Jde, D, Nguyen, G, Nguyen, NT, Nieuwenhuijsen, MJ, Nisar, MI, Nogueira, JR, Nolla, JM, Nolte, S, Norheim, OF, Norman, RE, Norrving, B, Nyakarahuka, L, Oh, IH, Ohkubo, T, Olusanya, BO, Omer, SB, Opio, JN, Orozco, R, Pagcatipunan, RS Jr, Pain, AW, Pandian, JD, Panelo, CI, Papachristou, C, Park, EK, Parry, CD, Paternina Caicedo, AJ, Patten, SB, Paul, VK, Pavlin, BI, Pearce, N, Pedraza, LS, Pedroza, A, Pejin Stokic, L, Pekericli, A, Pereira, DM, Perez-Padilla, R, Perez-Ruiz, F, Perico, N, Perry, SA, Pervaiz, A, Pesudovs, K, Peterson, CB, Petzold, M, Phillips, MR, Phua, HP, Plass, D, Poenaru, D, Polanczyk, GV, Polinder, S, Pond, CD, Pope, CA, Pope, D, Popova, S, Pourmalek, F, Powles, J, Prabhakaran, D, Prasad, NM, Qato, DM, Quezada, AD, Quistberg, DA, Racapé, L, Rafay, A, Rahimi, K, Rahimi-Movaghar, V, Rahman, SU, Raju, M, Rakovac, I, Rana, SM, Rao, M, Razavi, H, Reddy, KS, Refaat, AH, Rehm, J, Remuzzi, G, Ribeiro, AL, Riccio, PM, Richardson, L, Riederer, A, Robinson, M, Roca, A, Rodriguez, A, Rojas-Rueda, D, Romieu, I, Ronfani, L, Room, R, Roy, N, Ruhago, GM, Rushton, L, Sabin, N, Sacco, RL, Saha, S, Sahathevan, R, Sahraian, MA, Salomon, JA, Salvo, D, Sampson, UK, Sanabria, JR, Sanchez, LM, Sánchez-Pimienta, TG, Sanchez-Riera, L, Sandar, L, Santos, IS, Sapkota, A, Satpathy, M, Saunders, JE, Sawhney, M, Saylan, MI, Scarborough, P, Schmidt, JC, Schneider, IJ, Schöttker, B, Schwebel, DC, Scott, JG, Seedat, S, Sepanlou, SG, Serdar, B, Servan-Mori, EE, Shaddick, G, Shahraz, S, Levy, TS, Shangguan, S, She, J, Sheikhbahaei, S, Shibuya, K, Shin, HH, Shinohara, Y, Shiri, R, Shishani, K, Shiue, I, Sigfusdottir, ID, Silberberg, DH, Simard, EP, Sindi, S, Singh, A, Singh, GM, Singh, JA, Skirbekk, V, Sliwa, K, Soljak, M, Soneji, S, Søreide, K, Soshnikov, S, Sposato, LA, Sreeramareddy, CT, Stapelberg, NJ, Stathopoulou, V, Steckling, N, Stein, DJ, Stein, MB, Stephens, N, Stöckl, H, Straif, K, Stroumpoulis, K, Sturua, L, Sunguya, BF, Swaminathan, S, Swaroop, M, Sykes, BL, Tabb, KM, Takahashi, K, Talongwa, RT, Tandon, N, Tanne, D, Tanner, M, Tavakkoli, M, Te Ao, BJ, Teixeira, CM, Téllez Rojo, MM, Terkawi, AS, Texcalac-Sangrador, JL, Thackway, SV, Thomson, B, Thorne-Lyman, AL, Thrift, AG, Thurston, GD, Tillmann, T, Tobollik, M, Tonelli, M, Topouzis, F, Towbin, JA, Toyoshima, H, Traebert, J, Tran, BX, Trasande, L, Trillini, M, Trujillo, U, Dimbuene, ZT, Tsilimbaris, M, Tuzcu, EM, Uchendu, US, Ukwaja, KN, Uzun, SB, van de Vijver, S, Van Dingenen, R, van Gool, CH, van Os, J, Varakin, YY, Vasankari, TJ, Vasconcelos, AM, Vavilala, MS, Veerman, LJ, Velasquez-Melendez, G, Venketasubramanian, N, Vijayakumar, L, Villalpando, S, Violante, FS, Vlassov, VV, Vollset, SE, Wagner, GR, Waller, SG, Wallin, MT, Wan, X, Wang, H, Wang, J, Wang, L, Wang, W, Wang, Y, Warouw, TS, Watts, CH, Weichenthal, S, Weiderpass, E, Weintraub, RG, Werdecker, A, Wessells, KR, Westerman, R, Whiteford, HA, Wilkinson, JD, Williams, HC, Williams, TN, Woldeyohannes, SM, Wolfe, CD, Wong, JQ, Woolf, AD, Wright, JL, Wurtz, B, Xu, G, Yan, LL, Yang, G, Yano, Y, Ye, P, Yenesew, M, Yentür, GK, Yip, P, Yonemoto, N, Yoon, SJ, Younis, MZ, Younoussi, Z, Yu, C, Zaki, ME, Zhao, Y, Zheng, Y, Zhou, M, Zhu, J, Zhu, S, Zou, X, Zunt, JR, Lopez, AD, Vos, T, Murray, CJ (2015). Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 386, 2287–2323.Google Scholar
Giugliano, D, Ceriello, A, Esposito, K (2006). The effects of diet on inflammation: emphasis on the metabolic syndrome. Journal of the American College of Cardiology 48, 677–685.Google Scholar
Greenland, S (1989). Modeling and variable selection in epidemiologic analysis. American Journal of Public Health 79, 340–349.Google Scholar
Henderson, S, Duncan-Jones, P, McAuley, H, Ritchie, K (1978). The patient's primary group. British Journal of Psychiatry 132, 74–86.Google Scholar
Jacka, FN, Cherbuin, N, Anstey, KJ, Butterworth, P (2015). Does reverse causality explain the relationship between diet and depression? Journal of Affective Disorders 175, 248–250.Google Scholar
Jaffee, SR, Moffitt, TE, Caspi, A, Fombonne, E, Poulton, R, Martin, J (2002). Differences in early childhood risk factors for juvenile-onset and adult-onset depression. Archives of General Psychiatry 59, 215–222.CrossRefGoogle ScholarPubMed
Khaw, K-T, Wareham, N, Bingham, S, Welch, A, Luben, R, Day, N (2008). Combined impact of health behaviours and mortality in men and women: The EPIC-Norfolk Prospective Population Study. PLoS Med 5, e12.Google ScholarPubMed
Lloyd-Jones, DM, Hong, Y, Labarthe, D, Mozaffarian, D, Appel, LJ, Van Horn, L, Greenlund, K, Daniels, S, Nichol, G, Tomaselli, GF, Arnett, DK, Fonarow, GC, Ho, PM, Lauer, MS, Masoudi, FA, Robertson, RM, Roger, V, Schwamm, LH, Sorlie, P, Yancy, CW, Rosamond, WD; American Heart Association Strategic Planning Task Force and Statistics Committee (2010). Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association's strategic Impact Goal through 2020 and beyond. Circulation 121, 586–613.Google Scholar
Lopez-Garcia, E, Schulze, MB, Fung, TT, Meigs, JB, Rifai, N, Manson, JE, Hu, FB (2004). Major dietary patterns are related to plasma concentrations of markers of inflammation and endothelial dysfunction. American Journal of Clinical Nutrition 80, 1029–1035.Google Scholar
Markou, A, Kosten, TR, Koob, GF (1998). Neurobiological similarities in depression and drug dependence: a self-medication hypothesis. Neuropsychopharmacology 18, 135–174.CrossRefGoogle ScholarPubMed
McKercher, C, Sanderson, K, Schmidt, MD, Otahal, P, Patton, GC, Dwyer, T, Venn, AJ (2014). Physical activity patterns and risk of depression in young adulthood: a 20-year cohort study since childhood. Social Psychiatry and Psychiatric Epidemiology 49, 1823–1834.Google Scholar
Miettinen, OS (1985). Theoretical Epidemiology. John Wiley & Sons: New York.Google Scholar
Nabeshima, T, Kim, HC (2013). Involvement of genetic and environmental factors in the onset of depression. Experimental Neurobiology 22, 235–243.Google Scholar
Pahkala, K, Hietalampi, H, Laitinen, TT, Viikari, JS, Ronnemaa, T, Niinikoski, H, Lagstrom, H, Talvia, S, Jula, A, Heinonen, OJ, Juonala, M, Simell, O, Raitakari, OT (2013). Ideal cardiovascular health in adolescence: effect of lifestyle intervention and association with vascular intima-media thickness and elasticity (the Special Turku Coronary Risk Factor Intervention Project for Children [STRIP] study). Circulation 127, 2088–2096.Google Scholar
Patton, GC, Carlin, JB, Coffey, C, Wolfe, R, Hibbert, M, Bowes, G (1998). Depression, anxiety, and smoking initiation: a prospective study over 3 years. American Journal of Public Health 88, 1518–1522.CrossRefGoogle ScholarPubMed
Paul, SL, Thrift, AG, Donnan, GA (2004). Smoking as a crucial independent determinant of stroke. Tobacco Induced Diseases 2, 67–80.Google Scholar
Raison, CL, Capuron, L, Miller, AH (2006). Cytokines sing the blues: inflammation and the pathogenesis of depression. Trends in Immunology 27, 24–31.CrossRefGoogle ScholarPubMed
Raitakari, OT, Leino, M, Rakkonen, K, Porkka, KV, Taimela, S, Rasanen, L, Viikari, JS (1995). Clustering of risk habits in young adults. The Cardiovascular Risk in Young Finns Study. American Journal of Epidemiology 142, 36–44.CrossRefGoogle ScholarPubMed
Rubin, RR, Wadden, TA, Bahnson, JL, Blackburn, GL, Brancati, FL, Bray, GA, Coday, M, Crow, SJ, Curtis, JM, Dutton, G, Egan, C, Evans, M, Ewing, L, Faulconbridge, L, Foreyt, J, Gaussoin, SA, Gregg, EW, Hazuda, HP, Hill, JO, Horton, ES, Hubbard, VS, Jakicic, JM, Jeffery, RW, Johnson, KC, Kahn, SE, Knowler, WC, Lang, W, Lewis, CE, Montez, MG, Murillo, A, Nathan, DM, Patricio, J, Peters, A, Pi-Sunyer, X, Pownall, H, Rejeski, WJ, Rosenthal, RH, Ruelas, V, Toledo, K, Van Dorsten, B, Vitolins, M, Williamson, D, Wing, RR, Yanovski, SZ, Zhang, P, Look, ARG (2014). Impact of intensive lifestyle intervention on depression and health-related quality of life in type 2 diabetes: the Look AHEAD Trial. Diabetes Care 37, 1544–1553.Google Scholar
Sanderson, K, Patton, GC, McKercher, C, Dwyer, T, Venn, AJ (2011). Overweight and obesity in childhood and risk of mental disorder: a 20-year cohort study. Australian and New Zealand Journal of Psychiatry 45, 384–392.CrossRefGoogle ScholarPubMed
Sanjoti, P, David, K, Neville, O, Konrad, J (2009). Spousal concordance and reliability of the ‘Prudence Score’ as a summary of diet and lifestyle. Australian and New Zealand Journal of Public Health 33, 320–324.Google Scholar
Seaman, SR, White, IR (2013). Review of inverse probability weighting for dealing with missing data. Statistical Methods in Medical Research 22, 278–295.Google Scholar
Seligman, F, Nemeroff, CB (2015). The interface of depression and cardiovascular disease: therapeutic implications. Annals of the New York Academy of Sciences 1345, 25–35.Google Scholar
Simon, GE, Ludman, EJ, Linde, JA, Operskalski, BH, Ichikawa, L, Rohde, P, Finch, EA, Jeffery, RW (2008). Association between obesity and depression in middle-aged women. General Hospital Psychiatry 30, 32–39.Google Scholar
Smith, KJ, Sanderson, K, McNaughton, SA, Gall, SL, Dwyer, T, Venn, AJ (2014). Longitudinal associations between fish consumption and depression in young adults. American Journal of Epidemiology 179, 1228–1235.Google Scholar
Spencer, CA, Jamrozik, K, Norman, PE, Lawrence-Brown, M (2005). A simple lifestyle score predicts survival in healthy elderly men. Preventive Medicine 40, 712–717.Google Scholar
Taylor, G, McNeill, A, Girling, A, Farley, A, Lindson-Hawley, N, Aveyard, P (2014). Change in mental health after smoking cessation: systematic review and meta-analysis. British Medical Journal 348, g1151.Google Scholar
Undurraga, J, Baldessarini, RJ (2012). Randomized, placebo-controlled trials of antidepressants for acute major depression: thirty-year meta-analytic review. Neuropsychopharmacology 37, 851–864.Google Scholar
Valve, P, Lehtinen-Jacks, S, Eriksson, T, Lehtinen, M, Lindfors, P, Saha, MT, Rimpela, A, Angle, S (2013). LINDA – a solution-focused low-intensity intervention aimed at improving health behaviors of young females: a cluster-randomized controlled trial. BMC Public Health 13, 1044.Google Scholar
Van Dam, RM, Li, T, Spiegelman, D, Franco, OH, Hu, FB (2008). Combined impact of lifestyle factors on mortality: prospective cohort study in US women. BMJ 337, a1440.Google Scholar
Venn, AJ, Thomson, RJ, Schmidt, MD, Cleland, VJ, Curry, BA, Gennat, HC, Dwyer, T (2007). Overweight and obesity from childhood to adulthood: a follow-up of participants in the 1985 Australian Schools Health and Fitness Survey. Medical Journal of Australia 186, 458–460.Google Scholar
Walsh, NP, Gleeson, M, Shephard, RJ, Woods, JA, Bishop, NC, Fleshner, M, Green, C, Pedersen, BK, Hoffman-Goetz, L, Rogers, CJ, Northoff, H, Abbasi, A, Simon, P (2011). Position statement. Part one: Immune function and exercise. Exercise Immunology Review 17, 6–63.Google ScholarPubMed
Ware, J, Kosinski, M, Keller, S (1996). A 12-item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Medical Care 34, 220–233.Google Scholar
Ware, JJ, Munafò, MR (2015). Genetics of smoking behaviour. Current Topics in Behavioral Neurosciences 23, 19–36.Google Scholar
Wenzel, A, Steer, RA, Beck, AT (2005). Are there any gender differences in frequency of self-reported somatic symptoms of depression? Journal of Affective Disorders 89, 177–181.Google Scholar
World Health Organization (1997). Composite International Diagnostic Interview, CIDI-Auto 2.1: Administrator's Guide and Reference. World Health Organization: Geneva.Google Scholar
Ye, S, Muntner, P, Shimbo, D, Judd, SE, Richman, J, Davidson, KW, Safford, MM (2013). Behavioral mechanisms, elevated depressive symptoms, and the risk for myocardial infarction or death in individuals with coronary heart disease: the REGARDS (Reason for Geographic and Racial Differences in Stroke) study. Journal of the American College of Cardiology 61, 622–630.Google Scholar
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