Ram Lakhan

Dr. Ram Lakhan


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 September 2020 in Journal of Neurosciences in Rural Practice
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RLRam Lakhan
Ram Lakhan
AAAmit Agrawal
Amit Agrawal
Manoj SharmaManoj Sharma
Manoj Sharma
The coronavirus disease 2019 (COVID-19) crisis has greatly affected human lives across the world. Uncertainty and quarantine have been affecting people’s mental health. Estimations of mental health problems are needed immediately for the better planning and management of these concerns at a global level. A rapid scoping review was conducted to get the estimation of mental health problems in the COVID-19 pandemic during the first 7 months. Peer-reviewed, data-based journal articles published in the English language were searched in the PubMed, Medline, and Google Scholar electronic databases from December 2019 to June 2020. Papers that met the inclusion criteria were analyzed and discussed in this review. A total of 16 studies were included. Eleven studies were from China, two from India, and one from Spain, Italy, and Iran. Prevalence of all forms of depression was 20%, anxiety 35%, and stress 53% in the combined study population of 113,285 individuals. The prevalence rate of all forms of depression, anxiety, stress, sleep problems, and psychological distress in general population was found to be higher during COVID-19 pandemic.

7 May 2013 in ISRN Psychiatry
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RLRam Lakhan
Ram Lakhan
Background. The coexistence of psychiatric disorders in people with intellectual disability (ID) is common. This study determined the prevalence of psychiatric disorders in children with ID in Barwani, India.Method. A total of 262 children with ID were evaluated for psychiatric disorders using the diagnostic criteria outlined in the International Classification of Diseases (ICD-10).Results. Psychiatric disorders appeared in study participants at the following rates: attention deficit hyperactivity disorder (ADHD), 6.5%; autism, 4.2%; anxiety, 2.7%; bipolar disorder, 1.1%; delusional disorder, 0.8%; depression, 2.3%; obsessive-compulsive disorder, 0.8%; schizophrenia, 1.9%; enuresis, 10.3%; epilepsy, 23.7%; and behavioral problems, 80.9%. The prevalence of psychiatric disorders was statistically higher in severely intellectually disabled children () than mildly intellectually disabled children ().Conclusions. There is a higher prevalence of psychiatric disorders in children with ID when their compared with ID children whose .

1 October 2015 in Journal of Neurosciences in Rural Practice
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RLRam Lakhan
Ram Lakhan
OEOlugbemiga "Olu" Ekundayo
Olugbemiga "Olu" Ekundayo
MSMohammad Shahbazi
Mohammad Shahbazi
Background: Intellectual disability (ID) is a global public health concern. Prevalence of ID and its association with age and other demographic factors is required for planning purposes in India. Objective: This study analyzed the age-adjusted prevalence of ID in rural and urban populations and its correlation with age in children and adults. Materials and Methods: Disability data published in the report (2002) of National Sample Survey Organization were analyzed, using Z-test to measure differences in age-adjusted prevalence. Spearman rho was calculated to determine strength and direction of the association, and regression analysis was used to predict prevalence rate, based on age in rural and urban population settings. Results: Overall, India has a prevalence of 10.5/1000 in ID. Urban population has slightly higher rate (11/1000) than rural (10.08/1000; P = 0.044). Age was found to be highly correlated with prevalence of ID in rural children (ϱ =0.981, P = 0.019) as well as in children (ϱ = −0.954, P = 0.000) and adults (ϱ = −0.957, P = 0.000) in urban population. The possibility of confounding or the existence of covariates for children in urban settings was noted. Conclusion: Results of this study match findings in other epidemiological studies. However, multistage, large-scale studies are recommended for investigating prevalence rates with different severity levels of ID.

1 January 2015 in Journal of Neurosciences in Rural Practice
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RLRam Lakhan
Ram Lakhan
OEOlugbemiga "Olu" Ekundayo
Olugbemiga "Olu" Ekundayo
Background: The Indian population suffers with significant burden of mental illness. The prevalence rate and its association with age and other demographic indicators are needed for planning purpose. Objective: This study attempted to calculate age-wise prevalence of mental illness for rural and urban settings, and its association with age. Materials and Methods: Data published in National Sample Survey Organization (2002) report on disability is used for the analysis. Spearman correlation for strength of association, z-test for difference in prevalence, and regression statistics for predicting the prevalence rate of mental illness are used. Result: Overall population have 14.9/1000 prevalence of mental illness. It is higher in rural setting 17.1/1000 than urban 12.7/1000 (P < 0.001). There is a strong correlation found with age in rural (ϱ = 0.910, P = 0.001) and urban (ϱ = 0.940, P = 0.001). Conclusion: Results of this study confirm other epidemiological research in India. Large-population epidemiological studies are recommended.

18 November 2021 in Healthcare
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RLRam Lakhan
Ram Lakhan
Manoj SharmaManoj Sharma
Manoj Sharma
KAVITA BatraKAVITA Batra
KAVITA Batra
FBFrazier B. Beatty
Frazier B. Beatty
With the aging population, dementia emerges as a public health concern. In 2012, the Health and Retirement Study found that 8.8% of adults over 65 years suffered from dementia. The etiopathogenesis and treatment of dementia are not well understood. Antioxidant properties of Vitamin E and its major elements tocopherols and tocotrienols have been reported to be effective in slowing down the progression of dementia from its initial stage of Mild cognitive impairment (MCI). Therefore, the current review aims to explore the role of vitamin E on MCI. A literature search using the key words “Vitamin E, tocopherols, tocotrienols, and mild cognitive impairment” was conducted in MEDLINE (PubMed), CINAHL, and Google Scholar. The inclusion criteria were: (1) articles published in the past ten years; (2) published in English language; (3) published in peer-reviewed journals; and (4) descriptive and epidemiological or evaluation studies. Articles published prior to 2010, focused on other forms of dementia than MCI, grey literature and non-peer-reviewed articles were excluded. A total of 22 studies were included in the narrative synthesis. The results were equivocal. Eleven studies showed some level of the neuroprotective effect of Vitamin E, tocopherols and tocotrienols on the progression of MCI. The mixed results of this review suggest further exploration of the possible protective effects of Vitamin E on the development of dementia. Future studies can be conducted to decipher antioxidant properties of vitamin E and its association with slowing down the cognitive decline.

1 January 2014 in Indian Journal of Psychiatry
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RLRam Lakhan
Ram Lakhan
Background: Management of behavioral problems in children with intellectual disabilities (ID) is a great concern in resource-poor areas in India. This study attempted to analyze the efficacy of behavioral intervention provided in resource-poor settings. Objective: This study was aimed to examine the outcome of behavioral management provided to children with ID in a poor rural region in India. Materials and Methods: We analyzed data from 104 children between 3 and 18 years old who received interventions for behavioral problems in a clinical or a community setting. The behavioral assessment scale for Indian children with mental retardation (BASIC-MR) was used to quantify the study subjects' behavioral problems before and after we applied behavioral management techniques (baseline and post-intervention, respectively). The baseline and post-intervention scores were analyzed using the following statistical techniques: Wilcoxon matched-pairs signed-rank test for the efficacy of intervention; χ2 for group differences. Results: The study demonstrated behavioral improvements across all behavior domains (P < 0.05). Levels of improvement varied for children with different severities of ID (P = 0.001), between children who did and did not have multiple disabilities (P = 0.011). Conclusion: The outcome of this behavioral management study suggests that behavioral intervention can be effectively provided to children with ID in poor areas.