Internet addiction and daytime sleepiness among professionals in India: A web-based survey

Singh, Lokesh Kumar; Suchandra, K. Hari Hara; Pattajoshi, Amrit; Mamidipalli, Spoorthy Sai; Kamal, Huma; Singh, Sharda; Sachacher, Bhoomika; Mehta, Varun

doi:10.4103/psychiatry.indianjpsychiatry_412_18

Cited by 14 publications

(5 citation statements)

References 30 publications

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“…Table 2 summarizes sociodemographic characteristics of interest and measures of COVID-19 related worry score, sleep (insomnia and daytime sleepiness), and severity of depressive symptoms. 53.45% and 19.69% of the participants reported low to severe levels of insomnia (i.e., ISI ≥8) and daytime sleepiness (i.e., ESS ≥11), respectively (levels notably higher than those reported in typical samples not exposed to severe situational stress; 18.6% & 14% respectively [ 41 , 42 ]).…”

Section: Resultsmentioning

confidence: 99%

Worry and insomnia as risk factors for depression during initial stages of COVID-19 pandemic in India

et al. 2020

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The biggest nationwide COVID-19 pandemic lockdown worldwide was enforced in India for an initial period of 21-days. Emerging evidence suggests that pandemic situations and associated lockdowns have an adverse impact on sleep and mental health. However, prediction of sleep health from sociodemographic characteristics and the public’s worry during the initial stages of the COVID-19 pandemic has not been extensively explored so far. It’s also unclear whether sleep outcomes mediate the association between worry and mental health during pandemic situations. A web-survey (N = 391) on sociodemographic characteristics, COVID-19 related worry, sleep health (insomnia and daytime sleepiness), and depression was conducted during the initial 21-days of the COVID-19 stringent lockdown in India. Multiple regression analyses showed that variables, including sex, age, income level, and worry score, contributed to the significant regression equation for insomnia but not for daytime sleepiness. Specifically, the female, younger, lower income, and highly worried populations contributed significantly more than the male, elderly, higher income, and less worried populations, respectively, to the prediction of insomnia. Mediation analyses showed that insomnia, but not daytime sleepiness, fully mediated the relationship between worry score and severity of depressive symptoms. We provide evidence that the female, younger, lower income, and worried populations may be at higher risk for insomnia during pandemic situations. Current evidence gives hope that improving sleep may reduce depressive symptoms during a pandemic situation. This underscores the importance of the implementation of effective public health policies in conjunction with strategical responses to the COVID-19 pandemic.

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Section: Resultsmentioning

confidence: 99%

Worry and insomnia as risk factors for depression during initial stages of COVID-19 pandemic in India

et al. 2020

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“…Sleep patterns further influenced health outcomes, with 228 students (68.9%) having regular sleep patterns, attributed to good dietary habits and early academic schedules. However, 103 students (31.1%) had irregular sleep patterns due to homesickness, financial issues, academic stress, and frequent nighttime mobile use, aligning with an Indian study that found social media addiction contributed to irregular sleep (25). Socioeconomic status played a crucial role, with the majority of students from a middle socioeconomic background (185, 55.9%) having normal BMI.…”

Section: Discussionmentioning

confidence: 64%

Current Assessment of Dietary Habits, Physical Activity, and Related BMI among Students of People’s University of Medical & Health Sciences for Women, Nawabshah (SBA)

Mangi,

Saleem,

Kalhoro

et al. 2024

JHRR

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Background: Eating habits and adequate physical activity play significant roles in enhancing growth, development, health, and physical and mental fitness of individuals. University students, especially those in medical fields, often face demanding schedules and rigorous studies that can lead to altered dietary habits and lifestyles. Assessing these patterns is crucial for identifying potential nutritional or eating disorders and understanding their impact on students' health. Objective: The study aimed to assess dietary habits, physical activity levels, and related BMI among female students of People’s University of Medical & Health Sciences for Women, Nawabshah (PUMHSW). Methods: This cross-sectional study was conducted over one and a half months within the premises of PUMHSW. A total of 331 female students from MBBS and Allied Sciences programs were selected using convenient sampling. Inclusion criteria included students aged 18-25 years enrolled in any year of their respective programs, while exclusion criteria excluded those below 18 or above 25 years old and postgraduate students. Data were collected through a structured English-language questionnaire administered via face-to-face interviews. The questionnaire covered variables such as income, education, parental occupation, dietary habits, physical activity, and BMI. Verbal consent was obtained from all participants, ensuring confidentiality. Ethical approval was obtained in accordance with the Declaration of Helsinki. Data analysis was performed using SPSS version 25, with descriptive statistics including percentages, means, and standard deviations. Results were presented using frequency tables, charts, and graphs. Results: The majority of students were aged 21-23 years (61.6%), with most having a normal BMI (59.5%). Among the participants, 23.0% were underweight, 13.6% were overweight, and 3.9% were obese. Regular sleep patterns were reported by 68.9% of students, while 31.1% had irregular sleep patterns. A significant proportion (76.7%) did not engage in regular physical activity. The distribution of BMI classifications showed that 23.0% were underweight, 59.5% had normal BMI, 13.6% were overweight, and 3.9% were obese. A higher frequency of normal BMI was observed among MBBS students compared to Allied Sciences students. Conclusion: The study concluded that while most students had a normal BMI, a notable proportion were underweight, overweight, or obese. These findings underscore the need for targeted interventions to promote healthier lifestyles among university students, focusing on dietary habits, physical activity, and sleep patterns to prevent future health issues.

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“…Elevated BMI has been linked to increased levels of Internet addiction according to several studies (13)(14)(15). Additionally, sleep issues such trouble falling asleep or waking up early have also been linked to this addiction (16). According to a Chinese study (17), Internet addiction is strongly linked to poor sleep quality.…”

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confidence: 99%

Possible Demographic, Physical, and Psychological Characteristics Associated with Internet Addiction in Turkish People

TÜRKMEN,

ŞAHAN,

ARSLAN

et al. 2023

Acibadem Univ Saglik Bilim Derg

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Background: Internet addiction is a growing concern worldwide, affecting individuals of all ages and backgrounds. To date, little is known about the demographic, physical, and psychological characteristics of Turkish adults with internet addiction. Therefore, the aim of this study is to investigate the possible associated demographic, physical, and psychological characteristics of internet addiction in Turkish adults, with the goal of informing prevention and intervention efforts. Methods: The sociodemographic information collected in this study included age, gender, dominant upper limb, educational status, employment status, size of place of residence and smoking use. The Internet Addiction Scale was used to assess internet addiction. International Physical Activity Questionnaire was used to assess physical activity levels. Beck Depression Inventory was used to assess depression-related symptoms, and the Pittsburgh Sleep Quality Index was used to assess sleep quality. Results: The participants in the study had an average age of 45 years with a standard deviation of ±9 years, ranging from 18 to 65 years. The multinomial logistic regression analysis revealed that among the variables studied, only moderate or severe depression was significantly associated with strong internet addiction with an odds ratio of 11.496 and a p-value of 0.002. None of the other variables showed a significant association with strong internet addiction (p>0.05). Conclusion: Overall, the findings of this study highlight the importance of considering depression as a potential risk factor for internet addiction. Future research could explore the underlying mechanisms and causal pathways between depression and internet addiction, and investigate potential interventions to address this issue.

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Internet addiction and daytime sleepiness among professionals in India: A web-based survey

Cited by 14 publications

References 30 publications

Worry and insomnia as risk factors for depression during initial stages of COVID-19 pandemic in India

Worry and insomnia as risk factors for depression during initial stages of COVID-19 pandemic in India

Current Assessment of Dietary Habits, Physical Activity, and Related BMI among Students of People’s University of Medical & Health Sciences for Women, Nawabshah (SBA)

Possible Demographic, Physical, and Psychological Characteristics Associated with Internet Addiction in Turkish People

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