A longitudinal assessment of alcohol intake and incident depression: the SUN project
© Gea et al.; licensee BioMed Central Ltd. 2012
Received: 20 March 2012
Accepted: 27 October 2012
Published: 7 November 2012
Longitudinal studies assessing the long-term association between alcohol intake and depression are scarce. The type of beverage may also be important. Therefore we aimed to prospectively evaluate the influence of alcohol intake on incident depression in a Mediterranean cohort.
We assessed 13,619 university graduates (mean age: 38 years, 42% men) participating in a Spanish prospective epidemiological cohort (the SUN Project), initially free of depression. They were recruited between 1999–2008 and biennially followed-up during 2001–2010. At baseline, a 136-item validated food–frequency questionnaire was used to assess alcohol intake. Wine was the preferred beverage. Participants were classified as incident cases of depression if they reported a new clinical diagnosis of depression by a physician and/or initiated the use of antidepressant drugs. Cox regression and restricted cubic splines analyses were performed over 82,926 person-years.
Only among women, an U-shaped relationship between total alcohol intake and depression risk was found (P=0.01). Moderate alcohol intake (5–15 g/day) was associated with lower risk (Hazard Ratio: 0.62; 95% Confidence Interval: 0.43-0.89). No association was apparent for higher intakes of alcohol or for any specific type of alcoholic beverage.
Moderate alcohol intake might protect against depression among women. Further confirmatory studies are needed.
KeywordsAlcohol intake Depression Cohort analysis Mediterranean population
Unipolar depressive disorder is the most prevalent mental disease in the world and it is increasing steadily . The prevalence of major depression may reach up to 21% in some populations . Depression is the third leading cause of global disease burden measured in Disability Adjusted Life Years (DALYs), and the first one measured in Years Lost to Disability . If nothing is done, depression will become the first leading cause of global disease burden (DALYs) in 2030 . Besides, 2.25 million deaths per year in the world may be attributed to alcohol intake, even after subtracting the beneficial effects of moderate alcohol intake on the development of cardiovascular disease . In addition, alcohol intake is the 8th global death risk factor and the 3rd risk factor for disease and disability measured in DALYs . Some cross-sectional studies have shown high rates of comorbidity of depression and Alcohol Use Disorders (AUD), which includes alcohol dependence and alcohol abuse [5, 6]. Although some cohort and case–control studies have investigated this relationship, the longitudinal association between the quantity of alcohol intake and clinically diagnosed incident depression has not been assessed so far. Moreover reverse causation is a very important threat for the validity of cross-sectional or short-term follow-up studies. Besides, alcohol intake enormously varies among different populations regarding the type of alcoholic beverage, quantity and drinking pattern. We aimed to prospectively evaluate the long-term influence of alcohol intake on the development of depression during a 10 years follow-up in a Mediterranean cohort, where red wine was the most consumed alcoholic beverage.
Alcohol intake was assessed at baseline with a semi-quantitative food-frequency questionnaire (FFQ) that included questions on alcoholic beverage consumption during the past year (red wine, other wines, beer, and spirits). In the validation study for this questionnaire, the correlation coefficient for alcohol intake between the FFQ and four food records was 0.90 .
Participants were divided into four groups according to their baseline alcohol intake: abstainers, those who reported drinking less than 10 g/day of alcohol, those with an intake ranging from 10 and 25 g/day and the fourth group with an intake higher than 25 g/day. These groups were reclassified according to the results of the spline in 4 new categories: abstainers, less than 5 g/day, between 5 and 15 g/day, and more than 15 g/day.
In the stratified analysis by type of beverage, alcohol intake was considered as a continuous variable, and adjustment for total alcohol intake was performed through the residuals method .
Incident cases of depression were defined as a positive answer by participants in any of the follow-up questionnaires (4th, 6th, 8th, or 10th year) to the question ‘Have you ever been diagnosed of depression by a medical doctor?’ or a positive report after 4 or more years of follow-up habitual use of antidepressant drugs. We excluded the early cases (depression diagnosis made or antidepressant use reported within the first 2 years of follow-up), to avoid reverse causation bias. Antidepressant use was ascertained through an open question in which the participants reported their habitual medication use. This definition of incident depression was validated by a Psychiatrist in a sub-sample of our cohort using the Structured Clinical Interview for DSM-IV (SCID-I) as a gold standard, obtaining a specificity of 0.96; a percentage of confirmed depression of 74% and a percentage of confirmed non-depression of 81% .
We obtained the information about medical, socio-demographic, anthropometric, and lifestyle variables from the baseline questionnaire. Physical activity was assessed through a validated physical activity questionnaire . Adherence to the Mediterranean Dietary Pattern (MDP) was evaluated combining 8 items (fruits and nuts, vegetables, fish, legumes, cereals, dairy products, meat and meat products, and the ratio Monounsaturated Fatty Acids/Saturated Fatty Acids) according to the score proposed by Trichopoulou et al. , but excluding alcohol intake, that was not taken into account to build the MDP in order to avoid overlapping with our main exposure.
Cox regression models were used to assess the relationship between the four categories of alcohol intake and the incidence of depression. Hazard ratios (HR) and their 95% confidence intervals were calculated using the abstainers group as the reference category. The Cox model included age as the underlying time variable. Birth date was used as the origin variable. Entry time was defined as date at recruitment. Exit time was defined as date at diagnosis of depression for cases and for participants who did not develop depression as date when completing the last follow-up questionnaire or as age at death (whichever occurred first). For the multiple-adjusted model, the following potential confounders were considered: smoking, physical activity (MET-h/week), total energy intake (Kcal/day), body mass index (kg/m2), adherence to the MDP, marital status, and employment status. We evaluated the interaction between sex and alcohol intake by introducing an interaction term in the model. Although there was not an effect modification by sex, the analyses were also conducted separately for men and women. We conducted sensitivity analyses re-running all the models after: 1) including also early cases (up to the first two years of follow-up), 2) excluding late cases of depression (after 10 years), 3) excluding prevalent cases of other psychiatric diseases (insomnia, schizophrenia, anxiety, anorexia and bulimia, stress, obsessive compulsive disorder, bipolar disorder, phobias) at baseline, 4) excluding prevalent cases of cancer or cardiovascular disease (angina pectoris, coronary surgery including bypass, coronary angioplasty, stroke including thrombosis, embolism, and cerebral haemorrhage, paroxysmal tachycardia, atrial fibrillation, aortic aneurysm, heart failure, pulmonary embolism, peripheral venous thrombosis, intermittent claudication, and all types of cancer) at baseline, 5) depurating the abstainers group (excluding former drinkers and participants who do not drink due to medical causes), 6) excluding participants under anxiolytic drugs or other psychiatric medication at baseline, 7–9) excluding participants under anxiolytic, antipsychotic, or antiepileptic or anticonvulsant medication during the follow-up period.
Finally, we evaluated the potential non-linear association between alcohol intake and incident depression non-parametrically calculating the HR and 95% CI with restricted cubic splines , stratified by sex. Tests for non-linearity used the likelihood ratio test comparing the model with only the linear term to the model with the linear and the cubic spline terms. The results were adjusted for the same potential confounding factors as the main Cox regression analysis.
We also conducted spline analysis on alcohol independently for each alcoholic beverage (beer, wine, spirits) as a continuous variable. All P-values were two-tailed and P<0.05 was considered significant.
Baseline characteristics according to categories of alcohol intake stratified by sex: mean and SD, or %
Alcohol intake categories (g/day)
Physical activity (MET-h/week)
Mediterranean dietary pattern
Current smokers (%)
Marital Status (% married)
Living alone (%)
Alcohol intake source
Red Wine (g/day)
All wine (g/day)
A total of 459 incident cases of depression were identified during the follow-up period, which summed up 82,926 person-years.
HR and 95% CI for incident depression according to categories of daily alcohol intake in the overall sample and stratified by sex
Alcohol intake categories (g/day)
Age and sex adjusted
Multiple-adjusted model a
Interaction between sex and categories of alcohol intake
Multiple-adjusted model b
Multiple-adjusted model b
We did not find any effect modification of alcohol according to the sex of the participants (P=0.644). Although the interaction was non-significant, we fitted again the Cox regression stratified by sex. The reasons for this sub-groups analysis are discussed below. Stratified analysis showed no association between alcohol intake and incident depression (Table 2).
We carried out multiple sensitivity analyses to rule out possible sources of bias in the estimation of the association between alcohol intake and depression (data not shown; available on request). We repeated the analyses after excluding prevalent and life-time cases of psychiatric diseases at baseline (n=85), after excluding prevalent or life-time cases of cardiovascular disease or cancer at baseline (n=410), after excluding later incident cases of depression reported after 10 years of follow-up (n=8), after depurating the abstainers group excluding former drinkers and participants who do not drink due to health reasons (n=227), after including earlier incident cases (n=324), after excluding participants under anxiolitic drugs or other psychiatric medication at baseline (n=324), and after excluding participants under anxiolytic, antipsychotic, or antiepileptic or anticonvulsant medication during the follow-up period (n=455, n=114, n=36 respectively). The associations between alcohol intake and depression observed in all these sensitivity analyses were similar to those obtained in the main analysis.
HR and 95% CI for incident depression according to categories of daily alcohol intake adapted to the spline results
Alcohol intake categories (g/day)
Age and sex adjusted
Multiple-adjusted model a
Multiple-adjusted model b
Multiple-adjusted model b
No associations were found for the consumption of specific beverage types and depression risk in the overall sample neither in the analyses separated by sex (data not shown).
The results of this prospective study suggest that whereas moderate alcohol intake (5–15 g/day) may protect women against the development of depression, higher amounts of alcohol intake may not confer any protection against depression.
Many studies have investigated the relationship between exposure to alcohol and depressive status. However, most of them have focused on subjects with AUD more than in subjects with alcohol intake levels in a lower range. Some other studies [17, 18] have longitudinally investigated the relationship between alcohol dependence or alcohol abuse, but not categories of alcohol intake, and major depression. In fact, a recent review  reported a positive association between AUD and major depression.
However, longitudinal studies focusing on a normal range of alcohol intake even if they are follow-up studies, may still be affected by reverse causation bias because the follow-up is relatively short (only 1–2 years), or because they have not excluded prevalent cases of depression, or have assessed depression only on a narrow window of time during follow-up. Moreover no Mediterranean cohort, with a higher red wine consumption, has ever assessed this association. Therefore the differences in the assessment of exposure and/or events, or in the type of patients evaluated make the comparison with these studies difficult. A study from the Health and Retirement Study  found an association between problematic alcohol intake and depression in a cohort of men aged over 50, but no association was found with non-problematic alcohol intake. Biennially for 6 years, alcohol intake was assessed through questionnaires, and incidence of depression was assessed using a symptoms scale with a cut-point. However, 63% of the participants were classified as problematic alcohol drinkers even when they reported drinking less than 1 drink per week. In addition, some cases of depression might be underestimated in that study since they only evaluated self-reported cases of depression during the last 2 years of the study, but not those occurring in the first 4 years of follow-up. Finally, that study only included men since the exposure was problematic drinking, which is much more prevalent among men. Another study examined how alcohol use predicts changes in psychological symptoms among 393 adolescents followed up for 18 months  and found that initial levels of alcohol use did not predict changes in depression. Inclusion criteria for that study were to score one standard deviation above the school mean on one of the four subscales of the Substance use Risk Personality Scale: hopelessness, anxiety, impulsivity, and sensation seeking. In addition, depression was assessed through the Brief Symptom Inventory, not through a doctor made diagnosis. Finally, previous or prevalent cases of depression were not excluded since diagnosis of depression as such was not assessed. Paljärvi et al.  performed a two-wave 5-years follow-up study to determine which aspect of drinking pattern would be the best predictor for depressive symptoms. Self-reported depressive symptoms were measured with a questionnaire at baseline and at year-5. They found that binge-drinking and also higher categories of alcohol intake were directly associated with depressive symptoms. These results are in contrast with our findings, however Paljärvi el al. excluded abstainers from their analyses, and used the moderate alcohol consumers as the reference category. Skogen et al.  found an U-shaped association between alcohol intake and both anxiety and depression. They distinguished between the possible former drinkers and abstainers. However, these authors acknowledged that the direction of causality was not clear. Another study evaluated the influence of alcohol dependence on the first incident depressive episode in a 1-year follow-up . Both disorders were investigated using Diagnostic Interview Schedule, according to DSM-III. Prevalent and previous cases of depression were excluded. Multivariate logistic regression was conducted separately for men and women, obtaining a stronger positive association for women. These results are not comparable with ours because we did not assess alcohol dependence as exposure.
Some case–control studies have investigated the influence of alcohol intake on the development of depression [25–27]. For example, an study conducted by Armenian et al.  after an earthquake found a protective association for alcohol intake in cases of depression without comorbidity of other psychiatric disorders: OR (95% CI) =0.6 (0.3-0.9). The post-traumatic situation makes our results not comparable with the results of this study. Two other studies found contradictory results [25, 26]. However, these case–control studies may also be affected by reverse causality bias.
Finally, some cross-sectional studies have found high comorbidity between both conditions ; however, their cross-sectional nature is an obstacle to assess causality, especially when it is well known that depression is a risk factor for AUD [17, 18].
Our results suggest an U-shaped association between alcohol intake and the development of depression, only for women. The non-significant association for heavy alcohol intake may be due to the very low average consumption and the scarcity of heavy drinkers in our cohort. This is consistent with Perreira et al.  who did not find any association for men. However, our results are not consistent with Mackie et al.  who did not find any association for men or women. These studies, and all cited above, are not generally comparable because of the differences in the alcohol and depression assessments . Moreover, the different results between these studies may be due to the differences in the distribution of alcohol intake between populations. When the population has moderate to low average alcohol intake, the association tends to be inverse or null [20, 21] and when the population has heavy alcohol intake, it tends to be positive [20, 22]. When assessing the relationship between alcohol intake and the development of depression a careful consideration of the temporal sequence is needed. In order to reduce the risk of falling into reverse causation bias, early incident cases of depression were excluded. These cases may be sub-clinical cases of depression that are likely to increase their alcohol intake as a consequence of their recent depression. On the contrary, alcohol intake information was collected at baseline and some cases of depression were developed after 10 years of follow-up. Considering on the other hand that this late incident cases might not be influenced by alcohol intake at baseline, we excluded these later cases and the magnitude of the association did not change considerably.
The development of depression may be influenced by the presence of other psychiatric disorders . In order to control for this possible bias we conducted the analysis after the exclusion of prevalent and lifetime cases of psychiatric disorders. The association did not change substantially. Other important diseases like cancer [25, 30] or cardiovascular disease may lead to the development of depression and also to changes in alcohol intake. After the exclusion of prevalent cases of both kinds of disorders, the association remained similar. Other potentially important issue is the comparison group. Abstainers might be a heterogeneous group. Those who do not drink may have different reasons not to do so. Some of them may be abstainer due to medical advice. Participants declaring being abstainers could have been former drinkers. These facts could bias the results towards a more protective association. However, after excluding former drinkers and those abstainers who did not drink due to medical advice, the association between alcohol intake and the development of depression did not change.
We conducted the analysis separately for men and women although the interaction product-term was not significant. However, previous studies [31, 32] found differences between both sexes, therefore we considered convenient to split our sample. Women seem to be more likely to the development of depression  and the same alcohol intake affects differently to men and women  due to their different body composition, affecting the volume of distribution, or different metabolism.
Some mechanisms have been proposed to explain the deleterious effect of heavy or chronic alcohol drinking on brain function ; however, moderate alcohol drinking have a GABAergic effect, acting on GABAA receptors , that may prevent or counteract the effects of depression on this system .
Our study has some important strengths, such as its prospective design (avoiding reverse causation bias), data collection and data analysis. Other strengths are its large sample size, its high retention rate, the good adjustment for potential confounders, the existence of published validation studies for our methods, the high correlation observed between the FFQ and the food records for alcohol intake in the validation study, and the high educational level of the participants, achieving high quality information and high internal validity. In our analysis, we have carefully considered the reverse causation bias, used validated diagnosis of depression, taken into account other psychiatric disorders, analysed sex-alcohol interaction, excluded other important diseases, and depurated the abstainers group.
A limitation of our study is the use of a self-reported clinical diagnosis of depression. We assume that a low proportion of participants could misreport the diagnosis. Moreover, participants who reported habitual use of antidepressant drugs were also considered incident cases. Research suggests first treatment for depression typically occurs several years following the onset of depression. The median time from onset of depression to first treatment has been reported to be 8 years in the U.S. population . Long lags in first contact for depression treatment have also been reported in other countries . Thus, identifying incident cases of depression by having received a diagnosis or prescribed medication by a medical doctor may result in missed cases. This is especially true for cases recruited later in the study who were followed up for a shorter period of time than case recruited earlier in the study. These missing cases can translate in low sensitivity of our case ascertainment definition. However, our validation study found very high specificity (0.96) for the self-reported diagnosis of depression and theoretically with perfect specificity, non-differential misclassification of disease, due to low sensitivity, will not bias the relative risk estimate .
A potential limitation is that few participants were heavy alcohol consumers, which may lead to a lack of statistical power to assess the relationship with depression for high levels of alcohol intake. Another limitation is that we do not have information about illicit drug use. However the SUN cohort participants are highly motivated, responsible and health-conscious who voluntarily agreed to complete long and complicated questionnaires. We expect that the use of illicit drugs will be very low or even non-existent among them.
Moderate alcohol intake (5–15 g/d) among women might protect them against the development of depression, while high alcohol intake seems to confer no benefit. However, additional cohort studies are needed to confirm our findings.
Seguimiento Universidad de Navarra
- 95% CI:
95% Confidence interval
Disability adjusted life years
Alcohol use disorders
Food frequency questionnaire
Structured Clinical Interview for DSM-IV
Mediterranean Dietary Pattern
Body mass index
Gamma aminobutiric acid.
We are indebted to the participants of the SUN Study for their continued cooperation and participation. We thank to other members of the SUN Group: Alonso A, Benito S, de Irala J, de la Fuente-Arrillaga C, Delgado-Rodríguez M, Guillén- Grima F, Krafka J, Llorca J, López del Burgo C, Marti A, Martínez JA, Pimenta AM, Sánchez D, Seguí-Gómez M, Serrano-Martínez M, and Vázquez Z. The SUN Project has received funding from the Spanish Government-Instituto de Salud Carlos III (Grants PI01/0619, PI030678, PI040233, PI042241, PI050976, PI070240, PI070312, PI081943, PI080819, PI1002658, PI1002293, RD06/0045, 2010/087, and G03/140), the Navarra Regional Government (36/2001, 43/2002, 41/2005, 36/2008, 45/2011)and the University of Navarra. ET is supported by a RÃo Hortega post-residency fellowship of the "Instituto de Salud Carlos III", Ministry of Economy and Competitiveness, Spanish Government. AG is supported by a FPU fellowship of the Ministerio de EducaciÃ³n, Cultura y Deporte, Spanish Government.
- Patten SB: Accumulation of major depressive episodes over time in a prospective study indicates that retrospectively assessed lifetime prevalence estimates are too low. BMC Psychiatry. 2009, 9: 19-10.1186/1471-244X-9-19.View ArticlePubMedPubMed CentralGoogle Scholar
- Kessler RC, Angermeyer M, Anthony JC, DE Graaf R, Demyttenaere K, Gasquet I, DE Girolamo G, Gluzman S, Gureje O, Haro JM, Kawakami N, Karam A, Levinson D, Medina Mora ME, Oakley Browne MA, Posada-Villa J, Stein DJ, Adley Tsang CH, Aguilar-Gaxiola S, Alonso J, Lee S, Heeringa S, Pennell BE, Berglund P, Gruber MJ, Petukhova M, Chatterji S, Ustün TB: Lifetime prevalence and age-of-onset distributions of mental disorders in the World Health Organization's World Mental Health Survey Initiative. World Psychiatry. 2007, 6: 168-176.PubMedPubMed CentralGoogle Scholar
- WHO Regional Office for Europe: Global Burden of Disease: 2004. 2008, Geneva: World Health OrganizationGoogle Scholar
- World Health Organization: Global Status Report on alcohol and health. 2011, Geneva: World Health OrganizationGoogle Scholar
- Sullivan LE, Fiellin DA, O'Connor PG: The prevalence and impact of alcohol problems in major depression: a systematic review. Am J Med. 2005, 118: 330-341. 10.1016/j.amjmed.2005.01.007.View ArticlePubMedGoogle Scholar
- Manninen L, Poikolainen K, Vartiainen E, Laatikainen T: Heavy drinking occasions and depression. Alcohol Alcohol. 2006, 41: 293-299.View ArticlePubMedGoogle Scholar
- Hu FB, Willett WC: Optimal diets for prevention of coronary heart disease. JAMA. 2002, 288: 2569-2578. 10.1001/jama.288.20.2569.View ArticlePubMedGoogle Scholar
- Martinez-Gonzalez MA, Sanchez-Villegas A, De Irala J, Marti A, Martinez JA: Mediterranean diet and stroke: objectives and design of the SUN project. Seguimiento Universidad de Navarra. Nutr Neurosci. 2002, 5: 65-73. 10.1080/10284150290007047.View ArticlePubMedGoogle Scholar
- Segui-Gomez M, de la Fuente C, Vazquez Z, de Irala J, Martinez-Gonzalez MA: Cohort profile: the 'Seguimiento Universidad de Navarra' (SUN) study. Int J Epidemiol. 2006, 35: 1417-1422. 10.1093/ije/dyl223.View ArticlePubMedGoogle Scholar
- Willett W, Stampfer M: Implications of total energy intake for epidemiologic analyses. Nutritional epidemiology. 1998, New York: Oxford University Press, 273-301. 2View ArticleGoogle Scholar
- Martin-Moreno JM, Boyle P, Gorgojo L, Maisonneuve P, Fernandez-Rodriguez JC, Salvini S, Willett WC: Development and validation of a food frequency questionnaire in Spain. Int J Epidemiol. 1993, 22: 512-519. 10.1093/ije/22.3.512.View ArticlePubMedGoogle Scholar
- Willett WC, Howe GR, Kushi LH: Adjustment for total energy intake in epidemiologic studies. Am J Clin Nutr. 1997, 65 (Suppl 4): 1220-1228. discussion 1229–1231Google Scholar
- Sanchez-Villegas A, Schlatter J, Ortuno F, Lahortiga F, Pla J, Benito S, Martinez-Gonzalez MA: Validity of a self-reported diagnosis of depression among participants in a cohort study using the Structured Clinical Interview for DSM-IV (SCID-I). BMC Psychiatry. 2008, 8: 43-10.1186/1471-244X-8-43.View ArticlePubMedPubMed CentralGoogle Scholar
- Martinez-Gonzalez MA, Lopez-Fontana C, Varo JJ, Sanchez-Villegas A, Martinez JA: Validation of the Spanish version of the physical activity questionnaire used in the Nurses' Health Study and the Health Professionals' Follow-up Study. Public Health Nutr. 2005, 8: 920-927.View ArticlePubMedGoogle Scholar
- Trichopoulou A, Costacou T, Bamia C, Trichopoulos D: Adherence to a Mediterranean diet and survival in a Greek population. N Engl J Med. 2003, 348: 2599-2608. 10.1056/NEJMoa025039.View ArticlePubMedGoogle Scholar
- Greenland S: Dose–response and trend analysis in epidemiology: alternatives to categorical analysis. Epidemiology. 1995, 6: 356-365. 10.1097/00001648-199507000-00005.View ArticlePubMedGoogle Scholar
- Kuo PH, Gardner CO, Kendler KS, Prescott CA: The temporal relationship of the onsets of alcohol dependence and major depression: using a genetically informative study design. Psychol Med. 2006, 36: 1153-1162. 10.1017/S0033291706007860.View ArticlePubMedGoogle Scholar
- Fergusson DM, Boden JM, Horwood LJ: Tests of causal links between alcohol abuse or dependence and major depression. Arch Gen Psychiatry. 2009, 66: 260-266. 10.1001/archgenpsychiatry.2008.543.View ArticlePubMedGoogle Scholar
- Boden JM, Fergusson DM: Alcohol and depression. Addiction. 2011, 106: 906-914. 10.1111/j.1360-0443.2010.03351.x.View ArticlePubMedGoogle Scholar
- Perreira KM, Sloan FA: Excess alcohol consumption and health outcomes: a 6-year follow-up of men over age 50 from the health and retirement study. Addiction. 2002, 97: 301-310. 10.1046/j.1360-0443.2002.00067.x.View ArticlePubMedGoogle Scholar
- Mackie CJ, Castellanos-Ryan N, Conrod PJ: Personality moderates the longitudinal relationship between psychological symptoms and alcohol use in adolescents. Alcohol Clin Exp Res. 2011, 35: 703-716. 10.1111/j.1530-0277.2010.01388.x.View ArticlePubMedGoogle Scholar
- Paljärvi T, Koskenvuo M, Poikolainen K, Kauhanen J, Sillanmäki L, Mäkelä P: Binge drinking and depressive symptoms: a 5-year population-based cohort study. Addiction. 2009, 104: 1168-1178. 10.1111/j.1360-0443.2009.02577.x.View ArticlePubMedGoogle Scholar
- Skogen JC, Harvey SB, Henderson M, Stordal E, Mykletun A: Anxiety and depression among abstainers and low-level alcohol consumers. The Nord-Trøndelag health study. Addiction. 2009, 104: 1519-1529. 10.1111/j.1360-0443.2009.02659.x.View ArticlePubMedGoogle Scholar
- Gilman SE, Abraham HD: A longitudinal study of the order of onset of alcohol dependence and major depression. Drug Alcohol Depend. 2001, 63: 277-286. 10.1016/S0376-8716(00)00216-7.View ArticlePubMedGoogle Scholar
- Morse DE, Psoter WJ, Baek LS, Eisenberg E, Cohen D, Cleveland D, Mohit-Tabatabai M, Reisine S: Smoking and drinking in relation to depressive symptoms among persons with oral cancer or oral epithelial dysplasia. Head Neck. 2010, 32: 578-587.PubMedPubMed CentralGoogle Scholar
- Ogasawara K, Nakamura Y, Aleksic B, Yoshida K, Ando K, Iwata N, Kayukawa Y, Ozaki N: Depression associated with alcohol intake and younger age in Japanese office workers: a case–control and a cohort study. J Affect Disord. 2011, 128: 33-40. 10.1016/j.jad.2010.06.015.View ArticlePubMedGoogle Scholar
- Armenian HK, Morikawa M, Melkonian AK, Hovanesian A, Akiskal K, Akiskal HS: Risk factors for depression in the survivors of the 1988 earthquake in Armenia. J Urban Health. 2002, 79: 373-382. 10.1093/jurban/79.3.373.View ArticlePubMedPubMed CentralGoogle Scholar
- Graham K, Massak A, Demers A, Rehm J: Does the association between alcohol consumption and depression depend on how they are measured?. Alcohol Clin Exp Res. 2007, 31: 78-88. 10.1111/j.1530-0277.2006.00274.x.View ArticlePubMedGoogle Scholar
- Kessler RC, Berglund P, Demler O, Jin R, Koretz D, Merikangas KR, Rush AJ, Walters EE, Wang PS: The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). JAMA. 2003, 289: 3095-3105. 10.1001/jama.289.23.3095.View ArticlePubMedGoogle Scholar
- Burgess C, Cornelius V, Love S, Graham J, Richards M, Ramirez A: Depression and anxiety in women with early breast cancer: five year observational cohort study. BMJ. 2005, 330: 702-10.1136/bmj.38343.670868.D3.View ArticlePubMedPubMed CentralGoogle Scholar
- Moscato BS, Russell M, Zielezny M, Bromet E, Egri G, Mudar P, Marshall JR: Gender differences in the relation between depressive symptoms and alcohol problems: a longitudinal perspective. Am J Epidemiol. 1997, 146: 966-974. 10.1093/oxfordjournals.aje.a009224.View ArticlePubMedGoogle Scholar
- Schutte KK, Hearst J, Moos RH: Gender differences in the relations between depressive symptoms and drinking behavior among problem drinkers: a three-wave study. J Consult Clin Psychol. 1997, 65: 392-404.View ArticlePubMedGoogle Scholar
- Weissman MM, Bland R, Joyce PR, Newman S, Wells JE, Wittchen HU: Sex differences in rates of depression: cross-national perspectives. J Affect Disord. 1993, 29: 77-84. 10.1016/0165-0327(93)90025-F.View ArticlePubMedGoogle Scholar
- Pfefferbaum A, Rosenbloom M, Deshmukh A, Sullivan E: Sex differences in the effects of alcohol on brain structure. Am J Psychiatry. 2001, 158: 188-197. 10.1176/appi.ajp.158.2.188.View ArticlePubMedGoogle Scholar
- Alfonso-Loeches S, Guerri C: Molecular and behavioral aspects of the actions of alcohol on the adult and developing brain. Crit Rev Clin Lab Sci. 2011, 48: 19-47. 10.3109/10408363.2011.580567.View ArticlePubMedGoogle Scholar
- Charness ME, Simon RP, Greenberg DA: Ethanol and the nervous system. N Engl J Med. 1989, 321: 442-454. 10.1056/NEJM198908173210706.View ArticlePubMedGoogle Scholar
- Möhler H: The GABA system in anxiety and depression and its therapeutic potential. Neuropharmacology. 2012, 62: 42-53. 10.1016/j.neuropharm.2011.08.040.View ArticlePubMedGoogle Scholar
- Wang PS, Berglund P, Olfson M, Pincus HA, Wells KB, Kessler RC: Failure and delay in initial treatment contact after first onset of mental disorders in the national comorbidity survey replication. Arch Gen Psychiatry. 2005, 62: 603-613. 10.1001/archpsyc.62.6.603.View ArticlePubMedGoogle Scholar
- Olfson M, Liu SM, Grant BF, Blanco C: Influence of comorbid mental disorders on time to seeking treatment for major depressive disorder. Med Care. 2012, 50: 227-232. 10.1097/MLR.0b013e318241eb5e.View ArticlePubMedPubMed CentralGoogle Scholar
- Greenland S, Lash TL: Bias analysis. Modern Epidemiology. Edited by: Rothman KJ, Greenland S, Lash TL. 2008, Philadelphia, PA: Lippincott Williams and Wilkins, 359-3Google Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/12/954/prepub
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