There were 753 700 Facebook users in Chad in September 2023, which accounted for 3.9% of its entire population. The majority of them were men - 77.9%. People aged 18 to 24 were the largest user group (263 900). The highest difference between men and women occurs within people aged 25 to 34, where men lead by 195 900.

's (Population census) Unemployment rate is 3.9% which is the 33rd highest in Japan (by Prefecture). Transition Graphs and Comparison chart between Kanagawa and Tokyo(Tokyo) and Osaka(Osaka)(Closest Prefecture in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

There were 481 400 Instagram users in Haiti in June 2020, which accounted for 3.9% of its entire population. The majority of them were men - 59.5%. People aged 18 to 24 were the largest user group (199 000). The highest difference between men and women occurs within people aged 18 to 24, where men lead by 120 000.

BackgroundUnderstanding the social environmental around obesity has been limited by available data. One promising approach used to bridge similar gaps elsewhere is to use passively generated digital data.PurposeThis article explores the relationship between online social environment via web-based social networks and population obesity prevalence.MethodsWe performed a cross-sectional study using linear regression and cross validation to measure the relationship and predictive performance of user interests on the online social network Facebook to obesity prevalence in metros across the United States of America (USA) and neighborhoods within New York City (NYC). The outcomes, proportion of obese and/or overweight population in USA metros and NYC neighborhoods, were obtained via the Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance and NYC EpiQuery systems. Predictors were geographically specific proportion of users with activity-related and sedentary-related interests on Facebook.ResultsHigher proportion of the population with activity-related interests on Facebook was associated with a significant 12.0% (95% Confidence Interval (CI) 11.9 to 12.1) lower predicted prevalence of obese and/or overweight people across USA metros and 7.2% (95% CI: 6.8 to 7.7) across NYC neighborhoods. Conversely, greater proportion of the population with interest in television was associated with higher prevalence of obese and/or overweight people of 3.9% (95% CI: 3.7 to 4.0) (USA) and 27.5% (95% CI: 27.1 to 27.9, significant) (NYC). For activity-interests and national obesity outcomes, the average root mean square prediction error from 10-fold cross validation was comparable to the average root mean square error of a model developed using the entire data set.ConclusionsActivity-related interests across the USA and sedentary-related interests across NYC were significantly associated with obesity prevalence. Further research is needed to understand how the online social environment relates to health outcomes and how it can be used to identify or target interventions.

BackgroundThe persistence of symptoms or the development of new symptoms following a diagnosis of SARS-CoV-2 has given rise to a multifaceted clinical condition referred to as “long COVID” (LC). The understanding of LC among China’s non-hospitalized population continues to be insufficient. This investigation was designed to evaluate the protracted consequences amongst this demographic, as well as to identify the associated risk factors.MethodsThis research constitutes a prospective cohort study focusing on non-hospitalized individuals, aged between 18 and 59, who have been positively diagnosed with COVID-19. Each participant was subjected to a sequence of questionnaire-based surveys, designed to evaluate symptoms as well as the status of depression and anxiety. A logistic regression model, adjusted for multiple variables, was employed to scrutinize the correlation between demographic elements, lifestyle attributes, and health-related risk factors in relation to conditions and symptoms post COVID-19 infection.ResultsA total of 706 individuals participated in the 3 months follow-up, with 620 continuing on to the 6 months follow-up. The median age was 35 (28, 43) years, and 597 (85%) are female. Upon follow-up, Compared with patients without LC, patients with LC have a higher proportion of females (420 (87%) vs. 177 (79%); p = 0.010), were older (35 (29, 44) years vs. 33 (27, 41) years; p = 0.010) and have more comorbidities. Out of all participants, 483 (68.4%) reported experiencing at least one symptom at the 3 months mark, while 49.7% reported symptoms persisting at the 6 months mark. At the 3 months follow-up, the most prevalent persistent symptoms were cough (46%), fatigue (38%), and shortness of breath (34%). By the 6 months follow-up, fatigue (25%), shortness of breath (22%), and sleep disorders (16%) were the most commonly reported symptoms. Anxiety and depression were consistently reported as prevalent symptoms throughout the follow-up period. Most patient symptoms fade over time, with the quickest decreases observed in cough (from 46 to 9%), expectoration (from 26 to 6.3%), smell disorder (from 16 to 3.9%), and taste disorder (from 18 to 3.5%). Male and those possessing advanced educational qualifications exhibit a decreased susceptibility to the sustained incidence of coughing. Conversely, older age and the presence of comorbidities were identified as risk factors for persistent fatigue and shortness of breath.ConclusionIn the after of COVID-19, it has been observed that the majority of patient symptoms tend to decrease over time. The primary residual symptoms noticed after a 6 month follow-up were fatigue, dyspnea, and sleep disturbances. However, it’s noteworthy that the risk factors associated with these symptoms exhibit subtle variations. Furthermore, psychological sequelae, namely depression and anxiety, are frequently reported among COVID-19 survivors.

There were 210 200 Messenger users in Mauritania in December 2018, which accounted for 3.9% of its entire population. The majority of them were men - 65.5%. People aged 25 to 34 were the largest user group (82 000). The highest difference between men and women occurs within people aged 25 to 34, where men lead by 56 000.

In the year ending in March 2024, lead tenants from the Black ethnic group made up 7.8% of new social housing lettings and 3.9% of the overall population of England aged 16 and over.

En ce qui concerne les Belges, on note également des divergences importantes selon les communes, avec une répartition géographique très spécifique. En termes relatifs, les Belges sont les plus présents dans les communes se situant à la frontière de la Belgique, comme Winseler (23.9% de la population communale), Weiswampach (18.7%) ou Ell (16.7%). Avec 3.9%, la part des Belges dans la population de la Ville de Luxembourg ne se situe que légèrement au-dessus de la moyenne nationale. Cependant, en termes absolus, ils sont les plus nombreux dans la capitale (4 525, soit un peu plus d'un cinquième des Belges vivant au Luxembourg). En tendance, plus en s'éloigne géographiquement de la Belgique, plus la proportion des Belges dans les communes est faible. Ainsi, les Belges sont très peu présents le long des frontières allemande et française et au centre-nord du pays. Les parts les plus faibles peuvent être observées à Bettendorf (0.7 %), Schifflange (0.9 %) et Dudelange (0.9 %).

There were 621 800 Facebook users in South Sudan in July 2022, which accounted for 3.9% of its entire population. The majority of them were men - 72.1%. People aged 18 to 24 were the largest user group (228 300). The highest difference between men and women occurs within people aged 25 to 34, where men lead by 160 900.

There were 4 174 000 Facebook users in DR Congo in April 2021, which accounted for 3.9% of its entire population. The majority of them were men - 62.4%. People aged 18 to 24 were the largest user group (1 430 000). The highest difference between men and women occurs within people aged 25 to 34, where men lead by 770 000.

BackgroundWhile the nephrotoxicity of lead and cadmium is well-established, the impact of low-level exposure on risk of chronic kidney disease (CKD) and long-term health outcomes, especially in CKD patients, remains unclear. This study examines the association between low-level lead and cadmium exposure with risks of CKD and long-term mortality.MethodWe analyzed data from adult participants of 2003–2012 National Health and Nutrition Examination Survey in the United States. CKD was defined as estimated glomerular filtration rate < 60 ml/min/1.73 m2. Elevated blood lead (≥ 1.5 μg/dL) and cadmium (≥ 0.4 μg/L) levels were assessed for their associations with CKD and all-cause mortality, with survival tracked until December 31, 2019.ResultsAmong the 24,810 participants (mean age 44.4 years, 48.9% male), 1,309 (3.9%) had CKD. Lead and cadmium levels were significantly higher in participants with CKD compared to those without. Elevated lead (OR: 1.41, 95% CI: 1.15–1.74) and cadmium (OR: 1.23, 95% CI: 1.03–1.46) levels were both associated with increased CKD risk, with the highest risk in those with both lead ≥ 1.5 μg/dL and cadmium ≥ 0.4 μg/L (OR: 1.65, 95% CI 1.27–2.14). During a median follow-up of 141 months, 2,255 participants died (7.0 per 10,000 person-months). Elevated cadmium was associated with higher mortality risk in CKD (HR: 1.42, 95% CI: 1.07–1.88) and non-CKD populations (HR: 1.40, 95% CI: 1.24–1.58), while lead levels were not significantly associated with mortality in either group. Participants with both elevated lead and cadmium had a significantly higher mortality risk (HR: 1.32, 95% CI: 1.13–1.54).ConclusionLow-level cadmium and lead exposure are linked to increased CKD risk, with cadmium also associated with higher long-term mortality in both CKD and non-CKD populations. These findings highlight the need for public health efforts to reduce exposure and further research on long-term impacts.

There were 4 100 Instagram users in Micronesia in December 2023, which accounted for 3.9% of its entire population. The majority of them were women - 63.4%. People aged 18 to 24 were the largest user group (4 100). The highest difference between men and women occurs within people aged 18 to 24, where women lead by 1 500.

There were 1 150 800 Instagram users in Cote dIvoire in February 2024, which accounted for 3.9% of its entire population. The majority of them were men - 62.8%. People aged 25 to 34 were the largest user group (398 600). The highest difference between men and women occurs within people aged 25 to 34, where men lead by 246 900.

There were 615 200 Messenger users in Guinea in September 2019, which accounted for 3.9% of its entire population. The majority of them were men - 63%. People aged 25 to 34 were the largest user group (249 000). The highest difference between men and women occurs within people aged 25 to 34, where men lead by 160 000.

There were 3 991 000 Linkedin users in Viet Nam in June 2021, which accounted for 3.9% of its entire population. People aged 25 to 34 were the largest user group (2 500 000).

There were 257 300 Messenger users in Kyrgyzstan in October 2019, which accounted for 3.9% of its entire population. The majority of them were men - 53.6%. People aged 25 to 34 were the largest user group (100 000). The highest difference between men and women occurs within people aged 25 to 34, where men lead by 57 000.

There were 539 100 Facebook users in Burundi in February 2020, which accounted for 3.9% of its entire population. The majority of them were men - 66.4%. People aged 25 to 34 were the largest user group (201 000). The highest difference between men and women occurs within people aged 25 to 34, where men lead by 140 000.

There were 2 638 000 Messenger users in France in December 2019, which accounted for 3.9% of its entire population. The majority of them were women - 51.2%. People aged 25 to 34 were the largest user group (760 000). The highest difference between men and women occurs within people aged 55 to 64, where women lead by 96 000.

There were 251 000 Instagram users in Turkmenistan in September 2022, which accounted for 3.9% of its entire population. The majority of them were women - 54.4%. People aged 25 to 34 were the largest user group (84 500). The highest difference between men and women occurs within people aged 18 to 24, where women lead by 36 900.

There were 2 225 900 Facebook users in Uganda in December 2022, which accounted for 3.9% of its entire population. The majority of them were men - 59.7%. People aged 25 to 34 were the largest user group (969 100). The highest difference between men and women occurs within people aged 25 to 34, where men lead by 579 500.