Smoking and alcoholism among adult population and its association with outlet density in a hilly area of North India

A systematic review and meta-analysis of prevalence of seven psychiatric disorders in India

Background

After the National Mental Health Survey in 2016, multiple individual studies showed inconsistencies in the prevalence rates of psychiatric disorders in India. We performed a meta-analysis to estimate an up-to-date pooled estimate of the prevalence of depression, alcohol use disorder (AUD), anxiety disorder (AD), intellectual disability, suicidal attempt/death, autism, and bipolar disorder (BD) in India.

Materials and Methods

We performed a systematic bibliographic search in Pub Med, Global Health Data Exchange (GHDx), and Google Scholar, along with a manual search for peer-reviewed epidemiological studies reporting the prevalence of depression, AUD, AD, MR, suicidal attempt/death, autism, and BD in India from January 1980 till March 2022. Adopting a random-effects model, we performed the meta-analysis using "MetaXL" software.

Results

A total of 79 studies were included: depression (n = 28), AUD (n = 14), AD (n = 12), intellectual disability (n = 8), suicidal attempt/death (n = 7), autism (n = 6) and BD (n = 4). The pooled prevalence of depression and AUD was 12.4% (95% CI 9.4-15.9) (P < 0.001, I2 = 100%) and 21.5% (95% CI 14.1-30.0) (P < 0.001, I2 = 100%), respectively. AD, intellectual disability and suicidal attempt/death showed a prevalence of 11.6% (95% CI 8.1-15.7) (P < 0.001, I2 = 99%), 1% (95% CI 0.5-1.6) (P < 0.001, I2 = 98%) and 0.5% (95% CI 0.3-0.8) (P < 0.001, I2 = 100%), respectively. The meta-analysis in autism and BD showed pooled prevalence of 0.3% (95% CI 0.1-0.6) (P < 0.001, I2 = 96%) and 0.3% (95% CI 0.2-0.4) (P < 0.001, I2 = 78%), respectively. Subgroup analysis showed an increased prevalence of AD in the urban [24.3% (95% CI 3.7-52.9)] and younger [16.7% (95% CI 5.1-32.7)] population. The prevalence of depression and AD increased during the last two decades on decadal prevalence analysis.

Discussion

The findings could be used for appropriate policy measures and guiding subsequent national mental health surveys.

Association of alcohol use and dietary lifestyle of commercial drivers during the COVID-19 pandemic in Nigeria

BACKGROUND

Alcohol intake, particularly to cope up with stress and depression experienced by commercial drivers during the peak of the COVID-19 pandemic, is alarming as a rise in sales has been reported in certain countries during the quarantine. Alcoholism leads to malnutrition, either because those involved consume an insufficient amount of essential nutrients or because alcohol and its metabolism prevent the body from properly absorbing, digesting, and using those nutrients. This study was carried out to assess the association of alcohol use and dietary lifestyle of commercial motor drivers during the pandemic.

RESULTS

The anthropometric studies revealed that 69.5% of the respondents fall within the range of 18.5-24.49 indicating that they have normal weights. 63.5% reported daily consumption of alcohol, and 51% claimed that it does not affect their appetite, while 64.5% of the respondent stated that alcohol does not present them with any health problems. There was no significant association between the consumption of alcohol and nutritional status (p > 0.05), but a significant association between dietary lifestyle patterns and the nutritional status of participants was recorded (p < 0.05).

CONCLUSION

It is, therefore, essential that commercial drivers are given adequate information and guidance on improving their dietary lifestyle.

Spatially Varying Associations of Neighborhood Disadvantage with Alcohol and Tobacco Retail Outlet Rates

More than 30% of cancer related deaths are related to tobacco or alcohol use. Controlling and restricting access to these cancer-causing products, especially in communities where there is a high prevalence of other cancer risk factors, has the potential to improve population health and reduce the risk of specific cancers associated with these substances in more vulnerable population subgroups. One policy-driven method of reducing access to these cancer-causing substances is to regulate where these products are sold through the placement and density of businesses selling tobacco and alcohol. Previous work has found significant positive associations between tobacco, alcohol, and tobacco and alcohol retail outlets (TRO, ARO, TARO) and a neighborhood disadvantage index (NDI) using Bayesian shared component index modeling, where NDI associations differed across outlet types and relative risks varied by population density (e.g., rural, suburban, urban). In this paper, we used a novel Bayesian index model with spatially varying effects to explore spatial nonstationarity in NDI effects for TROs, AROs, and TAROs across census tracts in North Carolina. The results revealed substantial variation in NDI effects that varied by outlet type. However, all outlet types had strong positive effects in one coastal area. The most important variables in the NDI were percent renters, Black racial segregation, and the percentage of homes built before 1940. Overall, more disadvantaged areas experienced a greater neighborhood burden of outlets selling one or both of alcohol and tobacco.

Associations of Alcohol and Tobacco Retail Outlet Rates with Neighborhood Disadvantage

Tobacco causes 29% of cancer-related deaths while alcohol causes 5.5% of cancer-related deaths. Reducing the consumption of these cancer-causing products is a special priority area for the National Cancer Institute. While many factors are linked to tobacco and alcohol use, the placement and density of retail outlets within neighborhoods may be one community-level risk factor contributing to greater use of these products. To elucidate associations between tobacco, alcohol, and tobacco and alcohol retail outlets (TRO, ARO, and TARO) and neighborhood disadvantage over a large geographic area, we employed a novel Bayesian index modeling approach to estimate a neighborhood disadvantage index (NDI) and its associations with rates of the three types of retailers across block groups in the state of North Carolina. We used a novel extension of the Bayesian index model to include a shared component for the spatial pattern common to all three types of outlets and NDI effects that varied by outlet type. The shared component identifies areas that are elevated in risk for all outlets. The results showed significant positive associations between neighborhood disadvantage and TROs (relative risk (RR) = 1.12, 95% credible interval (CI = 1.09, 1.14)) and AROs (RR = 1.15, 95% CI = 1.11, 1.17), but the association was greatest for TAROs (RR = 1.21, 95% CI = 1.18, 1.24). The most important variables in the NDI were percent renters (i.e., low home ownership), percent of homes built before 1940 (i.e., old housing stock), and percent without a high school diploma (i.e., low education).