scholarly journals Snus and Alcohol: Mutually Rewarding Effects in the Brain? A Matched Controlled Population Study

2021 ◽  
Vol 15 ◽  
pp. 117822182110271
Author(s):  
Reidulf G Watten ◽  
Veslemøy P Watten
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Alcohol Consumption ◽  
Population Study ◽  
Dental Health ◽  
Mental Health Status ◽  
Control Group ◽  
Control Group Design ◽  
Level Of Education ◽  
Drinking Habits

Background: The use of moist smokeless tobacco (snus) is increasing in the U.S. and other Western countries, and especially among young people. Snus is associated with several health problems, but the relationship between use of snus and alcohol is scarcely explored. Neuro-cognitive and psychological research suggest an association due to possible mutually rewarding effects in the limbic brain. We investigated this issue in a matched controlled population study. Methods: Matched control group design where drinking habits and alcohol consumption in a group of users of snus (n = 1043, mean age = 35.20; n men = 749, n women = 294) were compared to a control group of non-users matched on age and gender (n = 1043, mean age = 35.65; n men = 749, n women = 294). In addition, we registered background variables such as level of education, income, self-perceived general, dental health, mental health, current depressive symptoms, and BMI. In estimation of alcohol consumption, the background variables were used as covariates in factorial analyses of variance (ANCOVA). Results: Users of snus had lower level of education, lower income, poorer general, dental, and mental health status than non-users, but there were no differences in BMI. Differences in mental health status were related to drinking habits. Users of snus had a higher frequency of drinking, higher frequency of intoxication, and showed more excess drinking. Controlled for background variables users of snus had a 25.2% higher estimated yearly consumption of alcohol in terms of standard units of alcohol on the weekdays, 26.4% higher on weekends and a 60.2% higher yearly excess consumption. Conclusion: Users of snus had an elevated alcohol consumption and another drinking style than non-users. The findings are discussed according to neuro-cognitive and psychopharmacological mechanisms, reward learning and conditioning. The results have implications for prevention, treatment and rehabilitation of alcohol and nicotine dependence.

scholarly journals Mental health and sleep habits/problems in children aged 3–4 years: a population study

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Fumie Horiuchi ◽  
Kentaro Kawabe ◽  
Yasunori Oka ◽  
Kiwamu Nakachi ◽  
Rie Hosokawa ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Healthcare Providers ◽  
Poor Mental Health ◽  
Mental Health Status ◽  
Control Group ◽  
Sleep Habits ◽  
Psychological Burden ◽  
Wake Time ◽  
Health Group

Abstract Background Sleep is essential for mental health at all ages, but few studies have investigated the importance of sleep for mental health in early childhood. Therefore, this study examined the association between mental health and sleep habits/problems in children aged 3–4 years. Methods Children aged 3 to 4 years who were living in the community (n = 415; 211/204 boys/girls) were recruited for this study. Their mental health was assessed using the Strengths and Difficulties Questionnaire (SDQ), and their sleep habits/problems were evaluated using the Child and Adolescent Sleep Checklist. Results Based on the total difficulties score of the SDQ, the children were divided into two groups: a poor mental health group (n = 76) and a control group (n = 339). In terms of sleep habits, which included total sleep time, bedtime, wake time, and nap conditions, there were no differences between the two groups. Regarding sleep-related problems, however, anxiety before going to sleep (p = 0.026), circadian rhythm abnormalities (p = 0.014), and sleepiness during classes outside of naptimes (p = 0.031) were significantly higher in the poor mental health group than in the control group. Multiple regression analysis showed that poor mental health status was significantly associated with sleepiness and snoring (p = 0.017 and p = 0.018, respectively). Conclusions The mental health status of 3–4-year-old children was associated with sleep-related problems, namely sleepiness and snoring. Healthcare providers should pay attention to children’s irregular sleep-wake patterns; moreover, interventions for appropriate sleep hygiene will reduce the psychological burden on both children and their families.

Mental Health of Cancer Patients

1994 ◽  
Vol 74 (3) ◽  
pp. 914-914
Author(s):  
Kiran Bala Verma ◽  
Madhu Asthana
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Cancer Patients ◽  
Mental Health Status ◽  
Control Group ◽  
Age Range ◽  
Normal Adults

To examine the mental health status of cancer patients, each of 50 cancer patients and 50 healthy normal adults of an age range of 32 to 65 years was given the Hindi version of the Mithila Mental Health Status Inventory of Kumar and Thakur. Analyses indicated that cancer patients scored higher than the control group on four of the five subscales showing poorer mental health than their normal peers.

scholarly journals Mental Health and Sleep Habits/Problems in Children at 3–4 Years of Age: A General Population Study

2020 ◽  
Author(s):  
Fumie Horiuchi ◽  
Kentaro Kawabe ◽  
Yasunori Oka ◽  
Kiwamu Nakachi ◽  
Rie Hosokawa ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Poor Mental Health ◽  
Mental Health Status ◽  
Control Group ◽  
Sleep Habits ◽  
General Population Study ◽  
Psychological Burden ◽  
Wake Time ◽  
Health Group

Abstract Background: Sleep is essential for mental health at all ages, but few studies have investigated the importance of sleep for mental health in early childhood. Therefore, this study examined the association between mental health and sleep habits/problems in children at 3-4 years of age. Methods: Children aged 3 to 4 years who were living in the community (n = 415; 211/204 boys/girls) were recruited in this study. Their mental health was assessed using the Strengths and Difficulties Questionnaire (SDQ), and their sleep habits/problems were evaluated using the Child and Adolescent Sleep Checklist. Results: Based on the total difficulties score of the SDQ, the children were divided into two groups: a poor mental health group (n = 76) and a control group (n = 339). In terms of sleep habits, which included total sleep time, bedtime, wake time, and nap conditions, there were no differences between the two groups. Regarding sleep-related problems, however, anxiety before going to sleep (p = 0.026), abnormality in the circadian rhythm (p = 0.014), and sleepiness during classes outside of naptimes (p = 0.031) were significantly higher in the poor mental health group than in the control group. Multiple regression analysis showed that poor mental health status was significantly associated with sleepiness and snoring (p = 0.017 and p = 0.018, respectively). Conclusions: The mental health status of 3-year-old children is associated with sleep-related problems, namely sleepiness and snoring. Healthcare providers should pay attention to children’s irregular sleep-wake patterns; moreover, interventions for appropriate sleep hygiene will reduce the psychological burden on both children and their families.

scholarly journals Associations between Suboptimal Sleep and Smoking, Poor Nutrition, Harmful Alcohol Consumption and Inadequate Physical Activity (‘SNAP Risks’): A Comparison of People with and without a Mental Health Condition in an Australian Community Survey

2021 ◽  
Vol 18 (11) ◽  
pp. 5946
Author(s):  
Alexandra P. Metse ◽  
Tara Clinton-McHarg ◽  
Elise Skinner ◽  
Yogayashwanthi Yogaraj ◽  
Kim Colyvas ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
At Risk ◽  
Health Status ◽  
Alcohol Consumption ◽  
Health Effects ◽  
Health Condition ◽  
Mental Health Status ◽  
Mental Health Condition ◽  
Adverse Health Effects

Introduction: People with a mental health condition experience disproportionate morbidity and mortality compared to the general population. This inequity has been largely attributed to a higher prevalence of chronic disease risk behaviours including smoking, poor nutrition, harmful alcohol consumption and inadequate physical activity (‘SNAP risks’). Suboptimal sleep is highly prevalent among people with a mental health condition and, as an identified risk behaviour for several chronic diseases, has been implicated as an additional contributor to this health inequity. Research involving people without a mental health condition suggests associations between poor sleep and each SNAP risk; however, interactions with mental health status have not been reported in an Australian population. This study explored associations between suboptimal sleep and all four SNAP risks, and assessed whether they vary by mental health status. Materials and Methods: A descriptive study (n = 1265) was undertaken using self-report data from a cross-sectional telephone survey of Australian adults. Based on national guidelines and recommendations that indicate when someone might be at risk of adverse health effects, SNAP risks and sleep variables were reduced to two levels: ‘at risk’ or ‘not at risk’; and ‘appropriate’ or ‘suboptimal’, respectively. Chi square tests and multivariable logistic regression models explored associations between suboptimal sleep, SNAP risks and mental health status. Results: Fifteen per cent (n = 184) of participants identified as having a mental health condition in the past 12 months. Being at risk of adverse health effects due to smoking had the strongest association with several measures of suboptimal sleep (ps < 0.05). Two-way interactions revealed that being at risk of adverse health effects due to alcohol use and physical inactivity resulted in a significantly greater likelihood of suboptimal sleep duration (OR 3.06, 95% CI 1.41 to 6.64; OR 3.06, 95% CI 1.41 to 6.69) and nap duration (OR 7.96, 95% CI 1.90 to 33.22), respectively, for people with a mental health condition compared to those without. Conclusions: The findings suggest associations between suboptimal sleep and smoking, risky alcohol consumption and physical inactivity, with the latter two perhaps being stronger among people with a mental health condition compared to those without such a condition. Poor sleep should be considered in interventions to address smoking, alcohol and physical activity; and vice versa. This study lends further support for the value of multirisk lifestyle interventions to promote physical and mental health for people with mental health conditions.

scholarly journals Effect of socio demographic and personal factors on infertility and its association with mental health and social support in North Indian population

2018 ◽  
Vol 7 (12) ◽  
pp. 5088
Author(s):  
Neetu Singh ◽  
Jyotsna Singh
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Health Status ◽  
Perceived Social Support ◽  
General Health Questionnaire ◽  
Mental Health Status ◽  
Caffeine Intake ◽  
Control Group ◽  
Personal Factors ◽  
Cross Sectional

Background: Motherhood is a bliss in women’s lives and thus infertility is considered as a social stigma. In present study, we measure the effect of socio-demographic and personal factors on infertility as well as the status of social support and mental health in infertile women.Methods: This was a cross-sectional study comprising 90 infertile women and 90 women in the control group, conducted at Ram Prakash Gupta Memorial Mother and Child State Referral Centre of RMLIMS, Lucknow, India. The questionnaires used were Socio-demographic and personal characteristics, General Health Questionnaire (GHQ-12) to assess mental health, Perceived Social Support Questionnaire (PSSQ). To determine the relationship between socio-demographic characteristics, personal characters, mental health, and social support with infertility, Chi-square test was used.Results: Age, education, and occupation had statistically significant (p<0.05) relation with infertility, high BMI, and caffeine intake also had the significant adverse effect on fertility outcomes (p<0.05). Infertility patients had poor mental health status (higher mean GHQ-12 score 20.8±4.2) and poor perceived social support (lower mean PSSQ score 29.7±7.0).Conclusions: In present study, the socio-demographic factors, lifestyle factors, social support and mental health status is associated with fertility outcomes. Their modifications have the potential to improve reproductive performances. A structured programme of education, social support, and counselling by specialist health professionals should be formulated to improve the quality of life as well as fertility outcomes in infertile patients.

scholarly journals Alcohol consumption, mental health status, and treatment in Nigeria and Uganda

2018 ◽  
Vol 7 (1) ◽  
pp. 40-47
Author(s):  
Birgitte Thylstrup ◽  
Kim Bloomfield ◽  
Abdu K Seid
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Alcohol Consumption ◽  
Mental Health Problems ◽  
Health Problems ◽  
Mental Health Status ◽  
Heavy Episodic Drinking ◽  
Cross Sectional Survey ◽  
Treatment Services ◽  
The Relationship

Background: The current level of alcohol consumption has placed Nigeria and Uganda in the group of high consumption countries, however little is known about how people with problematic alcohol use and related problems utilize treatment services. Aims: This study examined the relationship between alcohol consumption and mental health status in Nigeria and Uganda, and the relationship between heavy episodic drinking and treatment-seeking and treatment-receiving behavior. Data and methods: Analyses were based on cross-sectional survey data from Nigeria (N= 2018) and Uganda (N=1478) aged > 18 years from the 2003 Gender, Alcohol, and Culture: An International Study (GENACIS). Results: In both countries, the level of alcohol consumption was comparatively high, however, associations between drinking status and mental health problems were found only in Nigeria. Heavy episodic drinkers were more likely to report having sought help in both countries, only in Nigeria was it also related to ever receiving help. Conclusion: National strategies in both countries must continue allocation of resources to treatment services, supporting treatment availability and early identification of alcohol and related mental health problems. Implementation of national alcohol policies should be followed up with assessment and adjustments.

The Impact of Addiction on Family Members Mental Health Status

2019 ◽  
Vol 11 (2) ◽  
pp. 129-134
Author(s):  
Farshid Shamsaei ◽  
Mohammad Baanavi ◽  
Zahra Marzieh Hassanian ◽  
Fatemeh Cheraghi
Keyword(s):  
Mental Health ◽  
Substance Abuse ◽  
Health Status ◽  
Substance Abusers ◽  
Family Members ◽  
Psychological Needs ◽  
Mental Health Status ◽  
Control Group ◽  
The Mean ◽  
The Impact

Background: Effects of substance abuse frequently expand beyond the nuclear family. Extended family members can experience feelings of abandonment, anxiety, fear, anger, concern, embarrassment, or guilt. Thus, they may wish to ignore or cut ties with the person involved in substance abuse. The aim of this study was to compare the mental health status of families with and without substance abusers. Methods: This cross sectional study was conducted among 114 family members with substance abusers (case group) and 114 without substance abusers (control group) in Hamadan city of Iran, in a time period from October to December 2016. Data collection tools included demographic and SCL-90-R questionnaires. Data were analyzed by t- test using SPSS software version 16. The significance level was considered less than 0.05. Results: The mean age of participants in the case and control groups was 33±4.7 and 35±5.2 years. There was a significant difference in the mean of subscales which included somatization, interpersonal sensitivity, depression, anxiety and phobia in families with and without substance abusers (p< 0.001). In other words, the mental health status of family members with a substance abuser was lower than in the control group. Overall, 29.4% of family members with substance abusers and 16% without substance abusers were suspected to have mental disorders. Conclusion: Substance abuse is a disorder that can impact families in countless ways. Therefore, it is recommended that more attention should be given to this group toward planning mental health programs. Also, families should be screened by health professionals in regard to psychological needs and improvement of their mental health conditions.

The Mental Health Status of Chinese Medical Peacekeepers in Lebanon

2012 ◽  
Vol 40 (3) ◽  
pp. 375-380 ◽  
Author(s):  
Jing Li ◽  
Yongcong Shao ◽  
Mingdong Yun ◽  
Zhang Yan ◽  
Ke Yu ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Depression Scale ◽  
Mental Health Status ◽  
Future Research ◽  
Control Group ◽  
Self Rating ◽  
Group 2 ◽  
Sum Scores ◽  
Group 1

We investigated the mental health status of Chinese medical peacekeepers in Lebanon. In total, 59 peacekeepers completed the Self-rating Depression Scale (SDS; Zung, 1965), Self-rating Anxiety Scale (SAS; Zung, 1971), and Symptom Checklist-90 (SCL-90; Wang, 1984) 1 week after their arrival in Lebanon. These data were compared with those of 62 military personnel (control group 1) and 58 medical workers (control group 2). Significant differences were found between the peacekeeping group and control group 1 concerning sum scores on the SDS and SAS, and a number of SCL-90 factors. Although peacekeepers had good mental health status 1 week after arrival, this needs to be assessed longitudinally in future research.

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