Smoking and depression: Is smoking cessation effective?

Fish consumption and depression in Korean population: The Korea National Health and Nutrition Examination Survey, 2013-2021

BACKGROUND

Epidemiological studies in some populations showed that dietary intake of fish may be inversely associated with depression, but large studies in Korean population are limited. Thus, we investigated the association between fish consumption and depression, considering the serving size of fish, in Korean adults.

METHODS

This study was based on the data from the Korea National Health and Nutrition Examination Survey (2013-2021), which is a large nationally representative study of Korean population. Fish consumption was assessed with a 24-hour dietary recall, and physician-diagnosed depression status was assessed using questionnaires from the health interview survey. Multivariable logistic regression models adjusting for demographic, lifestyle, and dietary factors were used to calculate odds ratios (OR) and 95 % confidence intervals (CI) for depression.

RESULTS

A total of 31,632 adults aged 19-64 years were included in the analysis. After adjusting for covariates, highest fish consumption (≥4 servings/week) was significantly associated with 26 % lower odds of depression compared to the lowest fish consumption (<1 servings/week) (OR 0.74; 95 % CI, 0.60-0.92, P for trend = 0.007). A similar inverse association was found in female adults (OR 0.76; 95 % CI, 0.59-0.97, P for trend = 0.018), but no significant association was found in male adults (OR 0.75; 95 % CI, 0.49-1.15, P for trend = 0.223).

LIMITATIONS

Since KNHANES is a cross-sectional study, it is difficult to evaluate the causal relationship between fish consumption and depression risk.

CONCLUSIONS

This study results suggest that high fish consumption is associated with lower risk of depression in Korean adults, especially in female adults.

Depression and lifestyle: Focusing on nutrition, exercise, and their possible relevance to molecular mechanisms

Accumulating evidence has suggested the important role of lifestyle factors in depressive disorder. This paper aimed to introduce and outline recent research on epidemiological and intervention studies on lifestyle-related factors in depressive disorder with a special focus on diet. Evidence on exercise, sleep. and related behaviors is also described. Here, findings from meta-analytic studies are emphasized and related studies by the author's research group are introduced. Dietary factors that increase the risk of the illness include energy overload, skipping breakfast, unhealthy diet styles such as Western diet, inflammation-prone diet, and high consumption of ultraprocessed food (UPF). Nutritional imbalances such as inadequate intake of protein, fish (Ω3 polyunsaturated fatty acids), vitamins (folate and vitamin D), and minerals (iron and zinc) increases the risk of depression. Poor oral hygiene, food allergy, addiction to alcohol, and smoking constitute risk factors. Sedentary lifestyle and increased screen time (e.g. video games and the internet) confer the risk of depression. Insomnia and disturbed sleep-wake rhythm are also involved in the pathogenesis of depression. There is accumulating evidence at the meta-analysis level for interventions to modify these lifestyle habits in the protection and treatment of depressive disorder. Main biological mechanisms of the link between lifestyle factors and depression include monoamine imbalance, inflammation, altered stress response, oxidative stress, and dysfunction of brain-derived neurotrophic factor, although other players such as insulin, leptin, and orexin also play a role. To increase resilience to modern stress and ameliorate depression through modification of lifestyle habits, a list of 30 recommendable interventions is presented.

The effects of smoking habit change on the risk of depression-Analysis of data from the Korean National Health Insurance Service

BACKGROUND

We examined the effects of smoking habit change on the risk of depression using the National Health Insurance Service-National Health Screening Cohort database of Korea.

METHODS

This nationwide population-based cohort study included 88,931 men aged 40 years or older. The participants were divided into baseline heavy (≥20 cigarettes/day), moderate (10-19 cigarettes/day), and light (<10 cigarettes/day) smokers, quitters, and never smokers. Smokers were then categorized as continual smokers, reducers, quitters, and non-smokers based on the two-year change in smoking status between the first and second health examinations. The participants were followed from the index date to 2013 to assess depression status. Cox proportional models were used to examine the effects of smoking habit change on the risk of depression.

RESULTS

After a median 7.7 years of follow-up, 2,833 depression cases were identified. Never smokers and long-term quitters had a lower risk of depression than heavy continual smokers (hazard ratio, HR 0.817; 95% CI, confidence interval 0.689-0.967 and HR: 0.691; 95% CI: 0.559-0.853, respectively). Short-term quitters and reducers had a lower risk of depression, but it was not significant. The influence of smoking on depression was prominent among men in their 50 s (HR: 0.585; 95% CI: 0.419-0.820 in long-term quitters, HR:.0.738; 95% CI: 0.570-0.954 in never smokers).

LIMITATIONS

The information about smoking habits was based on self-reported questionnaires. This study examined only men because the smoking rate among women in Korea is very low.

CONCLUSIONS

This population-based study found that never smokers and long-term quitters have lower risk of depression. The risk of depression decreased when the amount of smoking decreased, but the difference was not statistically significant. Furthermore, more attention should be paid to middle-aged men when formulating smoking cessation policies.

Association of Selective Serotonin Reuptake Inhibitors and Bone Mineral Density in Elderly Women

Depression and osteoporosis are 2 common comorbidities in geriatric patients. There are concerns about the deleterious effects of selective serotonin reuptake inhibitor (SSRI) antidepressant use on bone mineral density (BMD). We examined the association between SSRI use and BMD in elderly women (≥65 yr) referred to a geriatric osteoporosis clinic for bone health evaluation. Cross-sectional analyses using the general linear model were performed on data collected retrospectively from August 2010 to April 2015. A total of 250 women were seen during the study period. Of these, 140 women had complete data on BMD measurements: 22 (15.7%) used an SSRI and 118 (84.3%) did not. The 2 groups, SSRI users and SSRI nonusers, did not differ significantly across any of the covariates tested (age, ethnicity, body mass index, and past and present osteoporosis treatment medications). After adjusting for covariates, there was no difference in the BMDs at the femoral neck (p = 0.887) or the spine (p = 0.275) between the 2 groups. Similarly, no difference was seen in the T-scores between SSRI users and nonusers at the femoral neck (p = 0.924) or at the spine level (p = 0.393). Our study did not show an association between SSRI use and BMD among elderly women referred for bone health evaluation. Other studies in the literature have been inconclusive, and therefore, robust longitudinal studies are needed to further assess the interaction between SSRI use and predictors of fracture such as BMD, bone turnover markers, and genes involved in bone turnover. Until then, clinicians should closely monitor the bone health of long-term SSRI users.

Smoking cessation and depressive symptoms at 1-, 3-, 6-, and 12-months follow-up

BACKGROUND

The relationship between tobacco and depressive symptoms has been examined. However, there is little information on the evolution of these symptoms when an individual quits. The aim of this study was to analyze the evolution of depressive symptoms over time (pre-, post-treatment, 1-, 3-, 6-, and 12-months follow-up) in relation to smoking status 12 months after having received a psychological treatment for smoking cessation.

METHOD

The sample was made up of 242 adults who received cognitive-behavioral treatment for smoking cessation (64.4% women; mean age=41.71 years). The BDI-II was used to assess depressive symptomatology. Participants were classified into three groups according to smoking status at 12-months follow-up (abstainers, relapsers, and smokers).

RESULTS

There were no significant differences in depressive symptoms among the three groups at pretreatment. At the end of treatment, abstainers and relapsers presented less depressive symptomatology than smokers. At follow-up, abstainers continued to present less depressive symptomatology than smokers, whereas in relapsers, symptoms began to increase as the relapses occurred. Regarding the evolution of depressive symptomatology, the abstainer and relapser groups showed a significant reduction at the end of treatment. Only in the group of abstainers did the decrease continue during 12 months follow-up.

LIMITATIONS

The decrease of the initial sample size from 562 to 242 participants. Variables such as self-esteem and self-efficacy were not assessed.

CONCLUSIONS

Smoking cessation is associated with a decrease in depressive symptomatology, that is maintained over time. In contrast, relapse is associated with an increase of such symptoms. These findings signify the potential importance of addressing depressive symptomatology in smoking cessation treatment.

Cognitive Dysfunction, Affective States, and Vulnerability to Nicotine Addiction: A Multifactorial Perspective

Although smoking prevalence has declined in recent years, certain subpopulations continue to smoke at disproportionately high rates and show resistance to cessation treatments. Individuals showing cognitive and affective impairments, including emotional distress and deficits in attention, memory, and inhibitory control, particularly in the context of psychiatric conditions, such as attention-deficit hyperactivity disorder, schizophrenia, and mood disorders, are at higher risk for tobacco addiction. Nicotine has been shown to improve cognitive and emotional processing in some conditions, including during tobacco abstinence. Self-medication of cognitive deficits or negative affect has been proposed to underlie high rates of tobacco smoking among people with psychiatric disorders. However, pre-existing cognitive and mood disorders may also influence the development and maintenance of nicotine dependence, by biasing nicotine-induced alterations in information processing and associative learning, decision-making, and inhibitory control. Here, we discuss the potential forms of contribution of cognitive and affective deficits to nicotine addiction-related processes, by reviewing major clinical and preclinical studies investigating either the procognitive and therapeutic action of nicotine or the putative primary role of cognitive and emotional impairments in addiction-like features.

Nicotine Addiction and Psychiatric Disorders

Even though smoking rates have long been on the decline, nicotine addiction still affects 20% of the US population today. Moreover, nicotine dependence shows high comorbidity with many mental illnesses including, but are not limited to, attention deficit hyperactivity disorder, anxiety disorders, and depression. The reason for the high rates of smoking in patients with mental illnesses may relate to attempts to self-medicate with nicotine. While nicotine may alleviate the symptoms of mental disorders, nicotine abstinence has been shown to worsen the symptoms of these disorders. In this chapter, we review the studies from animal and human research examining the bidirectional relationship between nicotine and attention deficit hyperactivity disorder, anxiety disorders, and depression as well as studies examining the roles of specific subunits of nicotinic acetylcholine receptors (nAChRs) in the interaction between nicotine and these mental illnesses. The results of these studies suggest that activation, desensitization, and upregulation of nAChRs modulate the effects of nicotine on mental illnesses.

Descriptive Evaluation of a Smoking Cessation Support Service for Chronic Disease Clients Within a Hospital Admissions Risk Program

Introduction: The Northern Alliance HARP smoking cessation program provides support to chronic disease participants who desired to quit smoking. This is an individualised program with pharmacotherapy and behavioural support, delivered by specialist clinicians.

Aims: The aims of this descriptive evaluation were to explore factors that affect abstinence rates, record those rates, and describe the impact of anxiety, depression, self-efficacy, quality of life and motivation on quit rates at three months.

Methods: Data was collected prospectively from clients enrolled in the service. Participants were assessed for abstinence at three months, six months and one year by carbon monoxide (CO) monitoring and self-reporting. Factors predictive of quitting were analysed using logistic regression; factors with a p value < 0.05 and 95% CI not containing one were considered statistically significant.

Results: 103 clients were assessed and 86 were enrolled in the program. The odds of successful quitting at three months CO verified was higher amongst completers of the program compared to non-completers (OR = 6.6, 95% CI = 2.03–21.57, p = 0.002). The probability of sustained quitting at one year was over 18 times higher in the group who completed the program (n = 16/21 completers and n = 1/4 non-completers) (OR 18.5, 95% CI, 2.32–147.34, p = 0.006). No other factors predicted quitting.

The rate of quitting was 28.7% at three months, 19.5% at six months and 10.3% at one year, CO verified. Measures of anxiety and depression, self-efficacy, quality of life and motivation did not influence either the quit rate or the likelihood of completing the course of treatment at three months.

The "depressive" face of osteoporosis and the "osteoporotic" face of depression

Osteoporosis and depression are two chronic diseases that affect large population groups with great impact on morbidity, mortality and quality of life. An association between osteoporosis and depression has been described in the literature. Definitely, limited data suggest that osteoporosis may enhance depressive symptoms, while far more studies have shown that depression adversely affects bone density and increases fracture risk. However, neither causation nor a firm pathophysiological connection has been established. Thus the correlation of these diseases is still under research. This review comments on a plausible causative relationship and underlying mechanisms that might elucidate the link between two very common diseases. We describe the possible impact of osteoporosis on moods and the (better established) effect of depression on bone health. We also describe the effect of medication and review hormonal and cellular signals that may explain this effect.

Factors associated with depression in Parkinson's disease

BACKGROUND

Depression is common in Parkinson's disease (PD) and contributes significantly to a reduced quality of life in PD patients. The determinants of depression in PD are complex and poorly understood. We investigated the factors associated with depression in PD.

METHODS

PD patients were recruited from Neurology clinics. A validated method was used to screen for a lifetime history of depression. 'Depressed' patients were identified by a score of >6 in the Geriatric Depression Scale (GDS-15) or by having had prescribed treatment for depression. 'Never depressed' patients were recognised by a score of <5 in the GDS-15 with no signs of a history of depression. A newly developed and validated questionnaire was used to collect other information.

RESULTS

Depression was identified in 66% of the 639 PD patients who met the inclusion criteria. Depression was associated with an increased severity of illness as evidenced by higher Unified PD Rating Scale scores and a higher Hoehn and Yahr stage. Other clinical factors associated with disease severity were also more frequently observed in depressed patients. Similar to findings in non-PD samples, depressed PD patients were more likely to have a lower education level, a history of smoking and to regularly use non-aspirin based NSAIDs or analgesics. Comorbidities such as anxiety, memory problems, hallucinations, sleep disturbances and postural hypotension were more common in depressed PD patients.

LIMITATIONS

To avoid patient exhaustion of over-surveying, some factors within the psychological domain were not examined.

CONCLUSION

Our results provide a focus for future intervention strategies.