Product Categories Research Articles

Ocular Adverse Effects of Over-the-Counter Cosmetics and Personal Care Products Reported to the Food and Drug Administration.

Personal care and cosmetic products can cause periocular and ocular adverse effects (AEs), for example, ocular surface disease, trauma, and hypersensitivity. The publicly available Food and Drug Administration (FDA) Center for Food Safety and Applied Nutrition Adverse Event Reporting System (CAERS) database includes AE reports by consumers, healthcare practitioners, and manufacturers. The purpose of this study was to characterize ophthalmic AE associated with cosmetics and personal care products reported by the FDA CAERS database. AE related to the eye or ocular adnexa from cosmetics submitted by consumers, healthcare practitioners, and manufacturers from January 2004 to June 2022 were identified after filtering using the Medical Dictionary for Regulatory Activities coding system. Demographic information, case outcome, and categories of product and AE were included. Chi-square analysis, with statistical significance at a = 0.05, was performed to ascertain variation in ocular, periocular, and general outcomes by product category. Reports of ophthalmic AEs related to cosmetics per year increased from 2006 to 2018, reaching a maximum of 161 reports in 2018, then decreased from 2018 to 2021. In total, 959 and 1382 unique periocular and ocular AEs were reported. There were 1711 total incidences of reported periocular AEs and 2485 ocular AEs. The most reported periocular AEs were inflammation (770/1711) and hypersensitivity (331/1711). The most reported ocular effects were discomfort (946/2485) and inflammation (709/2485). Ocular, periocular, and general outcomes significantly varied by product category. Consumers, healthcare practitioners, and manufacturers should be made aware of potential ophthalmic AE and outcomes associated with cosmetics and personal care products.

Fly the unfriendly skies: The role of transport costs in gravity models of trade

We exploit exogenous shocks to flight distances over time to estimate the distance effect in airborne trade within panel regressions. We find a negative distance effect, which we interpret as evidence of a link between transportation costs and airborne trade. Notably, this relationship is driven almost entirely by changes at the extensive margin. Specifically, trade in HS 6 product categories with intermittent trading histories becomes dormant when flight distances increase. Conversely, the intensive margin of trade remains largely unaffected.

Genome mining for ribosomally synthesized and post-translationally modified peptides (RiPPs) in Streptomyces bacteria

Ribosomally synthesized post-translationally modified peptides (RiPPs) are a novel category of bioactive natural products (NPs). Streptomyces bacteria are a potential source of many bioactive NPs. Limited opportunities are available to characterize all the bioactive NP gene clusters. In this study, 410 sequences of Streptomyces were analyzed for RiPPs through genome mining using the National Center for Biotechnology Information (NCBI), by combining BAGEL and anti-SMASH. A total of 4098 RiPPs were found; including both classified (lanthipeptide, RiPP-like, bacteriocin, LAPs, lassopeptide, thiopeptides) and nonclassified RiPPs. Soil was identified as a rich habitat for RiPPs. These data may offer alternative future remedies for various health issues.

Examining antecedents to Generation Z consumers’ green purchase intentions: the role of product categories

PurposeThe purpose of this paper is to examine the influence of environmental concern, perceived consumer effectiveness (PCE), green self-identity and social influence on Danish Generation Z consumers’ green purchase intention across three product categories: food, clothing and mobile phones.Design/methodology/approachData were collected through convenience sampling, asking undergraduate students in a quantitative data analysis class at the University of Southern Denmark to share a link to the online survey via mail and through their social media platforms. This study includes 287 usable cases. Structural equation modeling (AMOS) was used to test the suggested relationships.FindingsThe results show that environmental concern, PCE, green self-identity and social influence positively relate to Danish Generation Z consumers’ green purchase intentions. However, results also suggest that the influence of the different factors varies across product categories.Practical implicationsThe results show that marketers must refine their understanding of what guides green consumption, as the factors leading to green purchase intention vary across product categories. Therefore, practitioners need a deeper understanding of their specific category. The results offer insight into food, clothing and mobile phones.Originality/valueTo the best of the authors’ knowledge, this is one of the first studies investigating the antecedents to green purchase intentions across product categories.

Quality and safety of cheese shipped to the United Arab Emirates

During an examination of 3299 cheeses imported into the United Arab Emirates (UAE) from 2017 to 2021 for compliance with regulations regarding moisture and fat content, microbial quality, acidity, the presence of quinoline (a non-permitted colorant), sorbic acid, and the presence of rust discoloration, it was found that 91% of cheeses were compliant with UAE legislation. However, 9% were in violation of one or more of the mandated quality parameters, suggesting that adulteration had occurred. Within product categories the greatest level of non-conformity at 13% was noted for processed cheese, primarily due to violations caused by high moisture and low-fat content. This is important because moisture levels in processed cheese can influence its texture and shelf life. The microbial assessment of cheese showed that 85.7% of semi-hard and 77.5% of soft cheeses had non-compliant levels of E. coli. It was notable that 21.8% of non-compliant products originated from Turkey. Cheeses from Germany had the lowest level of non-conformity at 0.6%. This study illustrates the need for border scrutiny to include physicochemical examinations of cheese samples. The current initiative aims to promote the need for equity in global trade and to prevent the marketing of adulterated food items.Graphical

Trade potential in the agricultural cooperation between Russia and ASEAN countries in conditions of world economic system fragmentation

In the article the level of food security of the ASEAN countries and Russia was determined using the Global Food Security Index, on the basis of which an analysis was made of the demand for each of the economies of the Association and the possibilities of trade cooperation with Russia in certain categories of agro-industrial products. Additionally, the article shows the key trading partners of the ASEAN countries in both export and import of agricultural products, and also identifies the position of the Russian economy among the category of so-called “other trading partners”. Based on statistical data, taking into account the current volumes of trade potential of the Russian economy, three categories of ASEAN countries were identified, for each of which a categorical analysis of the demand for agricultural products was carried out and the potential for interaction with Russia was identified.

Challenges and Development of the Insurance Market in Albania

The insurance market in Albania has experienced substantial changes in recent years. This analysis focuses on the structure and performance of the insurance market in Albania, including the main product categories such as compulsory and voluntary insurance. One of the main challenges for the insurance market in Albania is the low level of penetration compared to European standards. Public awareness and promotion of insurance culture are important factors in improving this aspect. The study also addresses legal changes and innovations in the market, including changes in the legal framework and insurance technology. This analysis is based on various sources, including the Financial Supervision Authority (FSA) reports, financial data of insurance companies, and insurance market trends. Understanding these aspects provides a complete overview of the developments and challenges of the insurance market in Albania and brings a basis for the discussion on the growth opportunities of this sector in the future. The methodology provides a structured approach to investigate the challenges and development of the insurance market in Albania in the post-pandemic period. By combining data from various sources, the study aims to produce a comprehensive analysis that can inform policy recommendations and strategic decisions for stakeholders in the Albanian insurance industry. The study revealed that the market demonstrated resilience despite initial disruptions, with a gradual recovery in premium volumes and a rebound in demand for various insurance products. The pandemic accelerated the adoption of digital technologies, leading to improved customer service, streamlined operations, and enhanced data management.

Unlocking Excellence: Khageri Irrigation System Benchmarking in Chitwan

The objective of the study was to assess the present service delivery, financial and productivity indicators. The performance of five branch canals i.e. Branch Canal 1, Branch Canal 4, Branch Canal 6, Branch Canal 7 and Branch Canal 8 of the Khageri Irrigation System was evaluated for 2023 AD using fifteen performance indicators under water supply, financial performance and agricultural productivity categories suggested by the International Programme for Technology and Research in Irrigation and Drainage (IPTRID). 331 farmers were interviewed in respective five branch canals from head, middle, and tail portions of the command area in order to get a representative sample. The data obtained from the interview was analysed and interpreted to calculate the values of the performance indicators. It was also found that the canal capacity and scheme infrastructure was not the limiting cause of this observation according to the calculation of water delivery capacity (1.08). The irrigation service fee charged was not sufficient to pay for the Operation and Maintenance (O&M) cost according to the calculation of revenue collection performance (0.5, 50%). Land productivity in this system was found to be unsatisfactory according to the calculations of output per unit command area (13084.76 Rs/ha), ouput per unit irrigated area (13216.93 Rs/ha) and output per unit irrigation supply (1.82 Rs/m3).

Tribological properties of real foods using extended Stribeck curves and their relationship with nutritional and rheological parameters.

The tribological properties of 19 commercial food products, grouped into six categories (yogurt, dressings, spreads, porridges, emulsified sauces, and syrups) were investigated in relation to their rheological (dynamic oscillatory shear test) and nutritional properties (fat, carbohydrate, and protein). A tribological system (a glass ball and three polydimethylsiloxane pins) generated the extended Stribeck curve, monitoring friction factors (f) over an extended range of sliding speed (v) (10-8 to 100 m/s). Tribological parameters (f, v) at four inflection points dividing the frictional regimes (X1, breakaway point between the static and kinetic regimes; X1-X2, boundary; X2-X3, mixed; X3-X4, hydrodynamic regimes) and the slope between X3 and X4 (s) were subjected to principal component analysis and hierarchical clustering on principal components, using rheological and nutritional parameters as quantitative supplementary variables. Tribological patterns were predominantly influenced by viscosity, viscoelasticity, yield stress, fat content, and the presence of particles (e.g., sugar, proteins, and fibers) and pasting materials (e.g., starches and modified starches). The 19 tribological patterns were classified into 3 clusters: low f and s for fat- and/or viscoelastic-dominant foods (Cluster 1), low f and high s for food emulsions and/or those with low extent of shear-thinning (Cluster 2), and high f at the boundary regime either for the most viscous foods or for those in the presence of particulates (Cluster 3). These results suggest that the compositional and rheological properties have a more profound impact on the classification of complex tribological patterns than the categories of food products.

Food Environment After Implementation of a Healthy Checkout Policy

In March 2021, Berkeley, California, became the world's first jurisdiction to implement a healthy checkout policy, which sets nutrition standards for foods and beverages in store checkouts. This healthy checkout ordinance (HCO) has the potential to improve customers' dietary intake if stores comply by increasing the healthfulness of foods and beverages at checkouts. To compare the percentage of checkout products that were HCO compliant and that fell into healthy and unhealthy food and beverage categories before and 1 year after HCO implementation in Berkeley relative to comparison cities. In this cohort study in which Berkeley implemented an HCO and other cities did not, a difference-in-differences analysis was conducted of 76 258 product facings at checkouts of 23 stores in Berkeley and 75 stores in 3 comparison cities in California. Data were collected in February 2021 (approximately 1 month before implementation of the HCO) and 1 year later in February 2022 and analyzed from October 2023 to May 2024. The HCO, which permits only the following products at checkouts in large food stores: nonfood and nonbeverage products, unsweetened beverages, and foods with 5 g or less of added sugars per serving and 200 mg or less of sodium per serving in the following categories: sugar-free gum and mints, fruit, vegetables, nuts, seeds, legumes, yogurt or cheese, and whole grains. A product facing's (1) HCO compliance and (2) category, including healthy compliant categories and unhealthy noncompliant categories, determined using a validated photograph-based tool to assess product characteristics. Of the 76 258 product facings at store checkouts, the percentage that were HCO compliant increased from 53% (4438 of 8425) to 83% (5966 of 7220) in Berkeley, a 63% increase relative to comparison cities (probability ratio [PR], 1.63; 95% CI, 1.41-1.87). The percentage of food and beverage checkout facings that were HCO compliant increased in Berkeley from 29% (1652 of 5639) to 62% (2007 of 3261), a 125% increase relative to comparison cities (PR, 2.25; 95% CI, 1.80-2.82). The percentage of Berkeley food and beverage facings consisting of candy, sugar-sweetened beverages, and other sweets significantly decreased (candy: from 30% [1687 of 5639] to 6% [197 of 3261]; PR, 0.21; 95% CI, 0.10-0.42; sugar-sweetened beverages: from 11% [596 of 5639] to 5% [157 of 3261]; PR, 0.41; 95% CI, 0.23-0.75; other sweets: from 7% [413 of 5639] to 3% [101 of 3261]; PR, 0.37; 95% CI, 0.15-0.88), while the percentage consisting of unsweetened beverages (from 4% [226 of 5639] to 19% [604 of 3261]; PR, 4.76; 95% CI, 2.54-8.91) and healthy foods (from 6% [350 of 5639] to 20% [663 of 3261]; PR, 2.90; 95% CI, 1.79-4.72) significantly increased. This cohort study of the first healthy checkout policy found substantial improvements in the healthfulness of food environments at checkouts 1 year after implementation of the policy. These results suggest that healthy checkout policies have the potential to improve the healthfulness of store checkouts.

Leave me alone! The pharma sales force that performs yet does not

Learning outcomes After completion of the case study, students will be able to appreciate the challenges in managing a pharma sales team by learning the nuances of business hygiene, learn how new managers taking over a pharma sales team analyze data of a sales territory by balancing both quantitative and qualitative factors, evaluate the challenges of performance management of sales teams and balancing the expectations of various stakeholders, understand the approach of sales and effort hygiene – correlating data points that may not be directly connected but have a dependency and learn to forecast and build a business projection Case overview/synopsis Innov-Health’s dermatology (skin and hair) division in West Bengal, an Eastern state of India, recently hired Pradeep Vir as the area business manager. Innov-Health, a leading 100-year-old global healthcare player, was headquartered in the USA, with categories spanning oncology, immunology, neurosciences, metabolic, dermatology and pain management. Its brand Acnend, an acne cream, the only product in the division, was a market leader in India. Acnend required doctors’ prescriptions to be bought and was sold by pharmacies via distributors. In India, Acnend was doing well at the end of the first quarter (January–March) of 2022 in a highly competitive product category. Vir had just joined the West Bengal territory with four major cities, each with a district manager (DM). The position had been vacant for the past three months, but the DMs had done well in their sales performance for Quarter 1. All of them had achieved their targets, so Quarter 2, when he joined, started on a high note. But Salil Govind, the regional sales manager, his boss, was very concerned that a territory that had no manager had been consistently doing so well. He was concerned that the territory had far greater potential than the Quarter 1 projections had laid out. Govind now wanted Vir to re-work the Quarter 2 projections of West Bengal on priority since April had already begun. As Vir started working on the data, he was perplexed. While at a very obvious level, all four DMs were outperforming, there were gaps in varying degrees in the effort levels of each. The cumulative key performance indicators such as inventory, call average and doctor coverage and the data essentials for business hygiene[1] were worrisome and needed to be addressed. In addition, the doctor coverage, resulting in conversion, left a lot to be desired. However, he was conscious that he was new to the organization and would have to tread carefully. He wanted to do well. Vir got down to analyzing and taking action. Complexity academic level This case study is suitable for use in graduate-level management programs. It can be useful in courses such as sales management, marketing strategy and marketing analytics. The case study is also well suited to introducing students to the basics of sales, sales productivity, territory management, managing a team and business forecasting. The case study provides students a step-by-step understanding of business hygiene, and how just looking at overall sales numbers may not be conclusive, but a deep dive into effort and productivity is far more useful for forecasting. Supplementary materials Teaching notes are available for educators only. Subject code CSS 8: Marketing.

EXPRESS: Is This for Me? Differential Responses to Skin Tone Inclusivity Initiatives by Underrepresented Consumers and Represented Consumers

To better represent consumers who have traditionally been underrepresented in the marketplace, an increasing number of brands are extending or launching product lines that are more inclusive of a diverse consumer base. This work focuses on consumers’ feelings of representation (the feeling they, and consumers they identify with, are seen, heard, or taken into consideration when product decisions across product categories are being made) and explores how consumers who feel underrepresented (vs. represented) in skin tone products respond to more inclusive skin tone line extensions. Across seven studies using laboratory, field, and secondary data, the authors show that those who feel underrepresented have less favorable responses relative to those who feel represented. The authors find evidence that this is driven by product fit skepticism – doubt that the products in the inclusive line will meet one’s skin tone needs. The authors also identify managerial interventions that improve responses among underrepresented consumers by demonstrating respect for consumer needs, thus reducing the differential response between underrepresented and represented consumers.

Predicting Customer Purchase Behavior Using Machine Learning Models

In this study, we aim to predict customer purchase behavior using various machine learning models to better understand customer tendencies and enhance marketing strategies. We use a dataset containing demographic and behavioral data, including age, gender, annual income, number of purchases, product category, time spent on the website, loyalty program membership, and discounts availed. Our analysis involves data preprocessing, exploratory data analysis (EDA), and feature engineering. We then train and evaluate six different machine learning models: Logistic Regression, Random Forest, Gradient Boosting, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and XGBoost. The models are assessed using metrics such as accuracy, precision, recall, F1-score, and ROC AUC. Results indicate that ensemble models, specifically Random Forest and Gradient Boosting, outperform the other models in terms of accuracy and ROC AUC. The study concludes that ensemble models are highly effective for predicting customer purchase behavior, providing valuable insights for businesses to tailor their marketing efforts. Future research could explore additional features, more advanced models, and real-time prediction capabilities.

Designing China's environmental tax schemes from the perspective of differential tax rates

The Environmental Protection Tax Law of the People's Republic of China was promulgated in 2018. However, it is uncertain whether the tax rates defined under the law are reasonable. Environmental tax reform would help the government improve the law's emission reduction effect. This paper aims to design tax schemes from the perspective of differential tax rates and propose environmental tax reform strategies. To support this goal, we adopted a directional distance function, meta-frontier analysis, and an exponential attenuation model to construct a differential tax rate model. Next, starting with the current differential provincial tax rates (scheme B), we proposed three-level differential tax rates, in which the adjusted provincial tax rates (scheme P), differential sector tax rates (scheme S), and differential province–sector tax rates (scheme P–S). Then, we analyzed three new tax schemes and proposed two step-by-step reform strategies. We selected SO2, NOx, and CO2 for empirical analysis. We found that in the short term, the government should prioritize scheme P and set more effective tax rates for SO2 and NOx. In the long term, the government should implement scheme P–S to consider both regional heterogeneity and industrial heterogeneity within a province. Specific measures should set a high tax rate for the light industry category and a low tax rate for energy production and heavy industry category. In addition, we propose that China should include a carbon tax in the scope of its environmental taxes. Our research provides valuable guidance for China's future environmental tax reform.

Price level differences in the euro area: the case of Greece

Recent inflationary pressures have significantly affected household disposable incomes across Europe, with Greece being particularly impacted due to its low purchasing power. This study investigates the persistence and evolution of price level differences for fast-moving consumer goods in Greece compared to other euro area countries. It utilises the results of Dixon et al. (2023), who analysed price level differences across 41 product categories in ten euro area countries and found that the main factors contributing to price level differences include producer market competition, retail market structure, local costs and consumer habits. Building on these findings, we construct counterfactual prices and show that aligning Greece’s market structures and consumer behaviour patterns with the euro area average could significantly reduce prices (by 17 percentage points on average for the products with the highest share in total sales). The study also finds that although Greece has become cheaper in relative terms in recent years, it is still, on average, about 10% more expensive compared to euro area countries’ average. These results imply that there is scope for policy action, in particular, in areas that increase competition among producers, improve the structure of the retail market and enhance consumer economic literacy.

Notifications Related to Fraud and Adulteration in the Rapid Alert System for Food and Feed (RASFF) in 2000–2021

Fraudulent and adulterated food is produced mainly to reduce prices and attract consumers’ attention whilst threatening their economic interests, health, and safety. As such, this type of activity should be eliminated. This study’s aim was to identify the most common hazards related to food fraud and adulteration, reported in the Rapid Alert System for Food and Feed (RASFF) between 2000 and 2021, taking into account the product category (including individual products), country of origin, and notification type. We used Microsoft Excel (filtering, vertical-searching, transposition, and pivot table functions) and Statistica 13.3 (two-way joining cluster analysis) to analyse similarities between the hazards identified throughout the research period. Notifications relating to food fraud and adulteration accounted for 18.7% of all RASFF notifications, fluctuating between 1000 and 1200 per year in recent years. These mainly included hazards related to composition and novel foods in dietetic foods, food supplements and fortified foods, sulphites in fruits and vegetables, colours in cereals and bakery products, or Sudan in herbs and spices. Dietetic foods, dietary supplements, and fortified foods were mainly reported as alerts and information notifications, meaning that they were already available on the common European internal market. The other products originated mainly from outside the European Union (Asia—Turkey, Uzbekistan, India and Africa—Ghana, Nigeria) and were submitted on the basis of border rejections. Therefore, it is necessary to continue closely monitoring imported products at the EU border to ensure food safety, avoiding fraud and adulteration and protecting consumers’ financial interests.

Controlling merchandise inventory using the economic order quantity multi-item discount model method using Odoo software at UD. Ridho

UD. Ridho is a business based in Jl. Sudirman Pekan Dolok Masihul, Dolok Masihul District, Serdang Bedagai Regency, North Sumatra, deals in the sale and purchase of goods. The business had an accumulation of surplus inventory, or overstock, which damaged the goods and kept them from going bad. resulting in total losses of Rp 154,104,00 from January 2023 to June 2023. Orders are placed by UD. Ridho for goods from five vendors. The EOQ Multi Item Model Discount Method is applied in this study using the Odoo software. The EOQ Multi-Item Discount Model is a technique for optimizing inventory costs by placing orders for commodities based on economic order amounts from many suppliers. Product categories offered by UD. Ridho Sugar, rice, wheat flour, instant noodles, soy sauce, detergent, salt, water, and edible oil are the ingredients of UD. Ridho. The discount model is applied to goods that receive a discount from the seller according to the quantity of goods bought. Instant noodles, rice, detergent, edible oil, and aqua are the products that are discounted. Applying the multi-item discount model approach with economic order quantity at UD. Ridho was able to save Rp 21,893,660, or 3.02% of the total amount. The Odoo software, which has three modules—inventory, purchasing, and sales orders—can be used with this paradigm to construct an inventory management application

Comprehensive Sentiment and Fake Comment Analysis

This project introduces an innovative system for analyzing sentiment and detecting fake comments within e-commerce product reviews, aimed at enhancing the credibility and reliability of online feedback essential for consumer purchasing decisions. Our system integrates VADER, a robust rule-based model for general sentiment analysis, with RoBERTa, an advanced transformer-based deep learning model known for its superior accuracy. This dual approach harnesses the complementary strengths of traditional and modern techniques, resulting in a comprehensive and effective solution for sentiment analysis. A critical component of our system is the fake comment detection module, which utilizes sentiment scores and additional indicators to identify fraudulent reviews accurately. This module is essential for ensuring the authenticity of customer feedback and maintaining the integrity of online review platforms. Our analysis uncovers significant trends in sentiment across various product categories, providing valuable insights that can inform targeted marketing strategies and product enhancements. By examining the relationships between sentiment polarity, review ratings, and the likelihood of fake comments, we offer actionable intelligence for e-commerce platforms to improve product quality, enhance customer satisfaction, and safeguard their review systems. This project underscores the importance of advanced tools in upholding the trustworthiness of online reviews. By enabling businesses to understand genuine customer sentiment better and fostering transparency in the digital marketplace, our system enhances the overall consumer experience. Future efforts will focus on refining detection algorithms, exploring additional features for sentiment analysis, and validating the system across diverse datasets and languages to further elevate standards in online review systems.

Theory of Planned Behavior on Green Marketing Influence to Green Purchase Decision

This study investigates the correlation between green marketing and consumer buying behaviour, with a specific focus on Garnier Men consumers in Semarang. A total of 162 participants, who were well-acquainted with Garnier Men products and had knowledge of green marketing, were chosen using purposive sampling. The study utilises Structural Equation Modelling (SEM) with AMOS 24.0 software to analyse the data. The key findings suggest that green marketing has a considerable impact on consumer attitudes and subjective norms, but it does not have a direct effect on green purchase decisions. Attitudes, subjective standards, and perceived behavioural control were identified as key factors influencing green purchase behaviour. The report emphasises the necessity for organisations to prioritise these variables instead of exclusively depending on green marketing methods. Furthermore, the study emphasises the significance of providing concise and easily understandable information regarding the environmental effects of products. The research, however perceptive, is constrained to a particular demographic and product line, indicating that future research should encompass a wider array of age groups, professional backgrounds, and product categories in order to improve its generalizability.

Evolution of research related to how a sedentary lifestyle influences the aging process: a bibliometric review

Abstract Aim The world’s population suffers greatly from sedentary lifestyles, which are becoming more common as a result of factors such as a lack of easily accessible places to exercise, a rise in sedentary work practices such as office work, and the pervasive use of television and video devices. Consequently, associated health problems are escalating. The primary goal of this study was to examine the state and features of current trends in international publications regarding the effects of sedentary behavior on the elderly. Subject and methods A bibliometric analysis spanning the years 1994–2022, identifying a total of 311 documents, was carried out using the Web of Science Core Collection. Results The findings showed an exponential increase of 79% from 1997 to the present. The most productive journal categories, authors, and countries were Geriatrics & Gerontology and Public, Environmental & Occupational Health; authors S. Amagasa, N. Fukushima, S. Inoue, and H. Kikuchi; and the United States, respectively. Considerable variation was found in the keywords; “aging” and “sedentary lifestyle” were the most frequent terms, with 97 and 37 instances, respectively. Conclusion Maximum investment in programs promoting physical activity is necessary to improve quality of life as people age. Participants’ mental health will improve as a result of these programs, and their risk of illness will decrease.