Background and aims: Dyslipidemia is the major risk factor for atherosclerotic cardiovascular disease (ASCVD); therefore, its early diagnosis and treatment is necessary. While previous studies in Pakistan focused on general lipid profiles, investigations into gender disparities in lipid testing remain scarce. Therefore, the present study aims to explore the gender disparity in lipid testing and lipid levels among the adult Pakistani population. Methods: The lipid profile data was obtained from a tertiary care hospital and a diagnostic laboratory with centers across Pakistan. Dyslipidemia was defined based on the criteria provided by the National Cholesterol Education Program (NCEP) guidelines. Gender-based differences in lipid levels were analysed by copula decomposition, breaking down dyslipidemia differences into composition and structure effects. Results: A total of 577,489 adults were included in this study. The highest number of tests (n = 86,709, 14.6%) were conducted in individuals aged between 50 to 54 years. Greater number of males (n = 203,415, 64.3%) were tested before the age of 50 years compared to females (n = 113,030, 35.7%). Conversely, after the age of 50 years, number of tests increased notably among females (n = 137,541, 52.7%) compared to males (n = 123,503, 47.3%; p < 0.001). For all comparisons, significant differences were observed for low density lipoprotein cholesterol (LDL-C), triglycerides (TG), and high-density lipoprotein cholesterol (HDL-C) levels between males and females (p < 0.001), where average levels of LDL-C, TC and HDL-C were higher in females while average TG levels were higher in males. Conclusion: This study highlights the gender disparity in lipid testing in Pakistan, where females undergo lipid testing later in life, despite higher lipid levels compared to males.

The purpose of this study was to examine the impact of socioeconomic factors on fruit and vegetable consumption in the households of Pakistan. Secondary data were used from a national-level survey, i.e. “Household Integrated Income and Consumption Survey” (HIICS) 2015–2016 published by the Pakistan Bureau of Statistics. A total of 11,187 households were included in the final analysis. Quantile regression models were applied to investigate the association between socioeconomic factors and the consumption of fruit and vegetable. More than half of the households in the sample did not meet the World Health Organization’s (WHO) recommended criteria for fruit and vegetable consumption, which is 400 g/day/capita. According to the quantile regression model, household income is an important factor in increasing fruit and vegetable intake because an increase in income leads to a greater likelihood of spending on healthy and nutritious foods. The increased consumption of fruit and vegetable was caused by the household head’s high education, which created multiple resources to increase income. Households in two provinces, i.e. Khyber Pakhtunkhwa and Baluchistan, have a greater impact on fruit and vegetable consumption than other provinces due to natural resource availability. Household size and dependency ratio hurt the consumption of fruit and vegetable because women and children are not able to do work. These results are very useful because a better understanding of the socioeconomic characteristics associated with fruit and vegetable intake could improve the effectiveness of policies aimed at increasing fruit and vegetable consumption and reducing the risk of chronic diseases.

This study is conducted to decompose inequality in four important micronutrient intakes, i.e. calcium, iodine, iron, and zinc due to socioeconomic factors during 2006–2016. For this purpose, data were taken from national-level surveys, i.e. HIES-2006 and HIICS-2016. We applied a recently proposed decomposition method based on copula function to decompose between year changes in the consumption of micronutrients into structure and composition effect. The results show that average calcium and iron intakes increased by 518.54 (mg) and 0.962 (mg), respectively, while average iodine and zinc intakes decreased by 2.009 (mg) and 3.411 (mg), respectively, during the decade. Estimates of structure effect show that calcium, iodine, and iron consumption increased on average, i.e. 525.316 (mg), 14.615 (mg), and 2.15 (mg), respectively, while zinc intake decreased by 2.735 (mg). The composition effect is negative for all the four micronutrients, implying that consumption of calcium, iodine, iron, and zinc decreased as 6.7766 (mg), 16.624 (mg), 1.189 (mg), and 0.677 (mg), respectively. The main factors of this change are household income, urbanization, provinces, and household size. The policymakers need to know the importance of socioeconomic factors to improve hidden hunger in terms of micronutrient intakes.