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UNEVEN AGE-GROUPS CLASSIFICATION: AN ISLAMIC PERSPECTIVE OF A MATURITY INDEX Akshija, Ilir
Al-Masail: Journal of Islamic Studies Vol. 2 No. 1 (2024): September: Al-Masail: Journal of Islamic Studies
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/al-masail.v2i1.311

Abstract

This paper aims to translate evidence on age-group classifications gathered form Qur’an and other authoritative Islamic sources to human life maturity benchmarks. A maturity index is built creating age-groups based in sacred Islamic texts. The typical and most important of the class limit extraction is the example of the age of forty years from the ayah of Surah Al-Ahqaf [46:15]. Age groups start from birth (age 0 years; reference maturity age -15 years) producing respectively upper class limits; infancy (2 years; -13), 0-15 years (15 years; 0), to 40 years (40 years; 25), on duty (63 years; 48), elderly (85 years; 10) and senility (100; -13). The indexation is as follows; (0-15 years – 1 point), (to 40 years – 3 points), (on duty – 5 points), (elderly – 4 points), (senility – 1 point). The predesigned age-group categorization and indexing protocol is applied to the Albanian population creating a reorganization of the CENSUS 2011 data producing indexed maps showing the distribution of age segregated population by district. Maps show real differences in age distributed maturity index as a possible competition force between districts in present and future terms. Prospects of world population similar to the developed index are made in reference to the World Bank standard of population classification, ages 15-64 years. The use of the maturity index makes chronological age and functional status, maturity, a standardized tool, which controls over biases created by each of them separately.
SELF-REPORTED ANXIETY AND DEPRESSION SYMPTOMS UNDER COVID-19 LOCKDOWN: AN ALBANIAN EXPERIENCE Akshija, Ilir
JTH: Journal of Technology and Health Vol. 2 No. 4 (2025): April: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.v2i4.479

Abstract

COVID-19 pandemic, a mostly similar public health issue from country to country represents social, economic and political specific conditions. We attempt through a questionnaire published in the social media Facebook during pandemic lockdown to give a scenery of anxiety and depression symptoms in an Albanian population segment. The questionnaire was constructed following the guidelines of an Islamic sacred text (hadith) known as “five before five”. The sample is considered a virtual snowball sample because some promoters served as seeds making possible to reach parts of the population otherwise impossible to reach making it a sequential experiment ended based on risk of questionnaire misuse. The number or responders (N=1,376) were female 66.6%, age (M=34.9; SD=10.2) and males, age, (M=38.2; SD=10.8). Increase in self-reported anxiety and depression symptoms was common, 851 (61.8%) of responders. Linear logistic regression model shows the relationship of each dimension (health, wealth and free time) to other dimensions’ questions making a presumption to use the present model while retrieving data from other sources for future evaluation of anxiety and depression in a population. For a cut-off value for all dimensions change from baseline of 0.425, Sensitivity (S) was 0.749 and specificity (Sp) was 0.429, raising the problem of missing false negatives with increasing symptoms of anxiety and depression. While television and social media are helpful during a pandemic, the risk of misuse for political and other gains is present too. The citizen in need of recommendations is expected to collaborate but attentive not to abuse his/her trust.