The graph shows the population growth in China from 2000 to 2024. In 2024, the Chinese population decreased by about 0.1 percent or 1.39 million to around 1.408 billion people. Declining population growth in China Due to strict birth control measures by the Chinese government as well as changing family and work situations of the Chinese people, population growth has subsided over the past decades. Although the gradual abolition of the one-child policy from 2014 on led to temporarily higher birth figures, growth rates further decreased in recent years. As of 2024, leading countries in population growth could almost exclusively be found on the African continent and the Arabian Peninsula. Nevertheless, as of mid 2024, Asia ranked first by a wide margin among the continents in terms of absolute population. Future development of Chinese population The Chinese population reached a maximum of 1,412.6 million people in 2021 but decreased by 850,000 in 2022 and another 2.08 million in 2023. Until 2022, China had still ranked the world’s most populous country, but it was overtaken by India in 2023. Apart from the population decrease, a clear growth trend in Chinese cities is visible. By 2024, around 67 percent of Chinese people lived in urban areas, compared to merely 36 percent in 2000.

As of 2023, the bulk of the Chinese population was aged between 25 and 59 years, amounting to around half of the population. A breakdown of the population by broad age groups reveals that around 61.3 percent of the total population was in working age between 16 and 59 years in 2023. Age cohorts below 25 years were considerably smaller, although there was a slight growth trend in recent years. Population development in China Population development in China over the past decades has been strongly influenced by political and economic factors. After a time of high fertility rates during the Maoist regime, China introduced birth-control measures in the 1970s, including the so-called one-child policy. The fertility rate dropped accordingly from around six children per woman in the 1960s to below two at the end of the 20th century. At the same time, life expectancy increased consistently. In the face of a rapidly aging society, the government gradually lifted the one-child policy after 2012, finally arriving at a three-child policy in 2021. However, like in most other developed countries nowadays, people in China are reluctant to have more than one or two children due to high costs of living and education, as well as changed social norms and private values. China’s top-heavy age pyramid The above-mentioned developments are clearly reflected in the Chinese age pyramid. The age cohorts between 30 and 39 years are the last two larger age cohorts. The cohorts between 15 and 24, which now enter childbearing age, are decisively smaller, which will have a negative effect on the number of births in the coming decade. When looking at a gender distribution of the population pyramid, a considerable gender gap among the younger age cohorts becomes visible, leaving even less room for growth in birth figures.

In 2023, about 982.9 million people in China were estimated by the UN to be at a working age between 15 and 64 years. After a steep increase in the second half of the 20th century, the size of the working-age population reached a turning point in 2015 and figures started to decrease thereafter. Changes in the working-age population China's demographic development is characterized by a rapid change from a high fertility rate to a low one. This has caused the development of an arc shaped graph of the working age population: quickly increasing numbers before 2010, a gradual turn with a minor second peak until around 2027, and a steep decline thereafter. The expected second maximum of the graph results from the abolishment of birth control measures after 2010, which proved less successful in increasing birth figures than expected. The same turn can be seen in the number of people eligible for work, with an accelerated downturn in the years of the coronavirus pandemic, where many people left the labor force. It is very likely that the size of the labor force will rebound slightly in the upcoming years, but the extent of the rebound, which parallels the second maximum of the working age population, might be limited. China's labor market China's labor market was once defined by its abundant and cheap labor force, but competition for talent has been getting increasingly tense in recent years. This development is very likely to further intensify and extend itself into the less skilled ranks of the labor market. As the number of people who fall within the retirement age group is increasing and adding to the burden on the economy, steps to keep labor participation high are necessary. Raising the retirement age and providing incentives to stay in the labor force, are measures being implemented by Chinese government. Strategies to increase labor productivity would be ideal to mitigate the pressure on the Chinese economy, however, realizing such strategies is challenging.

In 2024, the average number of children born per 1,000 people in China ranged at 6.77. The birth rate has dropped considerably since 2016, and the number of births fell below the number of deaths in 2022 for the first time in decades, leading to a negative population growth rate. Recent development of the birth rate Similar to most East-Asian countries and territories, demographics in China today are characterized by a very low fertility rate. As low fertility in the long-term limits economic growth and leads to heavy strains on the pension and health systems, the Chinese government decided to support childbirth by gradually relaxing strict birth control measures, that had been in place for three decades. However, the effect of this policy change was considerably smaller than expected. The birth rate increased from 11.9 births per 1,000 inhabitants in 2010 to 14.57 births in 2012 and remained on a higher level for a couple of years, but then dropped again to a new low in 2018. This illustrates that other factors constrain the number of births today. These factors are most probably similar to those experienced in other developed countries as well: women preferring career opportunities over maternity, high costs for bringing up children, and changed social norms, to name only the most important ones. Future demographic prospects Between 2020 and 2023, the birth rate in China dropped to formerly unknown lows, most probably influenced by the coronavirus pandemic. As all COVID-19 restrictions were lifted by the end of 2022, births figures showed a catch-up effect in 2024. However, the scope of the rebound might be limited. A population breakdown by five-year age groups indicates that the drop in the number of births is also related to a shrinking number of people with child-bearing age. The age groups between 15 and 29 years today are considerably smaller than those between 30 and 44, leaving less space for the birth rate to increase. This effect is exacerbated by a considerable gender gap within younger age groups in China, with the number of females being much lower than that of males.

Toxoplasma gondii, an opportunistic protozoan, infects one-third of people worldwide and could lead to serious outcomes in immunodeficient or immunocompromised populations. The present study aimed to investigate the prevalence and risk factors for T. gondii infection among high-risk populations in Jiangsu Province, eastern China. We conducted a cross-sectional survey among 4 categories of populations in 13 prefectures including HIV/AIDS patients, livestock breeding/processing (B/P) staff, pregnant women, and cancer patients. We detected specific immunoglobulin G and M (IgG and IgM) levels for each participant using enzyme-linked immunosorbent assay (ELISA) and asked to complete a questionnaire for each participant that covered sociodemographic information as well as the basic knowledge of attitudes toward and the practices for the prevention of toxoplasmosis. A total of 5231 participants distributed across 13 prefecture-level cities was surveyed, including 2455 males and 2776 females. Total seropositivity rate in each population category was as follows: 9.08% (HIV/AIDS patients), 11.65% (livestock B/P staff), 5.50% (pregnant women), and 12.89% (cancer patients). We detected IgM positivity in HIV/AIDS patients (0.47%, 6/1289), livestock B/P staff (0.08%, 1/1330), and cancer patients (0.46%, 6/1303) but not in pregnant women. Further, we detected IgM+IgG positivity only in cancer patients (0.31%, 4/1303). The seropositivity rate for pregnant women was significantly lower, while cancer patients were significantly higher. Higher educational levels were associated with lower seropositivity rates for T. gondii infection. High seropositivity rates were associated with long period of HIV infection among HIV/AIDS patients, frequent contact with livestock among livestock breeding/processing staff and male older patients among cancer patients, respectively. Analysis of practices across all participants showed that frequent contact with pets in everyday life or using the same cutting board for both raw and cooked foods leads to higher seropositivity rates. Therefore, we obtained the seroprevalence and risk factors of toxoplasmosis among high-risk populations in Jiangsu Province which could provide evidence for the implementation of control measures in the near future.

In 2022, the birth rate across different regions in China varied from around 14.24 births per 1,000 inhabitants (per mille) in Tibet to 3.34 per mille in Heilongjiang province. The average national birth rate ranged at 6.77 per mille that year. High disparity of birth rates across China Regional birth rates in China reach their highest values in western and southwestern provinces and autonomous regions. In this part of the country, the economy is less developed than in the coastal provinces and traditional values are more prevalent. At the same time, many people from minority communities live in these areas, who were less affected by strict birth control measures in the past and traditionally have more children. In contrast, the lowest birth rates in recent years were registered in the northwestern provinces Jilin, Liaoning, and Heilongjiang, which is the rust belt of China. This region offers few economic opportunities, and many young people leave for a better life in the eastern provinces. They often leave old people behind, which is one reason why these provinces also have some of the highest mortality rates in China. Future developments As most Chinese regions with a higher fertility rate have only few inhabitants, they cannot compensate for the increasing number of provinces with a declining populace. In the future, only economically successful cites will be able to escape this trend, while many provinces and rural areas will slowly lose a significant share of their population.

Sinocalycanthus chinensis Cheng et S. Y. Chang (Calycanthaceae), which has a unique systematic status, is listed as a national second-class protected plants of China . In this study, the genetic diversity, performance, and fitness of F1 progeny from crosses between the Damingshan (DMS) population of Sinocalycanthus chinensis and pollen parents from the Daleishan (DLS) and Longxushan (LXS) populations were examined. The DLS population has a relatively small population size, low genetic diversity, and considerable geographical and genetic distances from the DMS population relative to the LXS population. Compared with naturally occurring seeds, DLS-sired seeds had the highest thousand-seed weight, starch content, fat content, germination rate, germination index, and emergence rate, but the lowest protein content. Naturally occurring, open-pollinated seeds had the lowest thousand-seed weight, starch content, and fat content, but the highest protein content. Compared with natural F1 progeny, DMS × DLS seedlings had the highest genetic diversity, photosynthetic parameters, and growth characteristics, except for leaf mass ratio and stem mass ratio. Under strong light, DMS × DLS seedlings exhibited a Fv/Fm value of 0.75, while the other two seedling types exhibited Fv/Fm values of 0.65. DLS-sired seeds had the most vigorous growth characteristics except for leaf mass ratio and stem mass ratio. These results suggest that genetic rescue by transplanting seedlings from the DLS population or hand pollination with pollen from the DLS population would be effective methods to reduce inbreeding depression and obtain strong offspring with high genetic diversity and fitness in the DMS population. Methods Pollen sources Plants from two S. chinensis populations located at two sites with different population sizes, levels of genetic diversity, and the relative geographical and genetic distances from the DMS seed parent were used as the pollen parents. One is located at Longxushan Mountain (LXS) in Anhui Province, China; this population is small with relatively high genetic diversity and with short geographical and low genetic distances from the DMS population (Table 1). This S. chinensis population is also within an evergreen broad-leaved forest. The main accompanying species are Litsea coreana var. sinensis, Symplocos setchuensi and Platycarya strobilacea. The other pollen parent population is located at Daleishan Mountain (DLS) in Tiantai County, Zhejiang Province, China, and it is a medium-sized population located a long geographical distance from the DMS population (Table 1). This S. chinensis population is located among shrubs within a valley. The main accompanying species are Camellia cuspidate, Spiraea salicifolia, Corylopsis sinensis, Rhododendron simsii, Actinidia chinensis, and Sargentodoxa cuneata. The DLS S. chinensis plants occur in the canopy and are intertwined with A. chinensis and S. cuneata. Hand pollination and seed collection Mature S. chinensis plants were selected as pollen donors. In May 2009, when the stigmas of S. chinensis flowers in DMS had matured, pollens were collected from flowers on 20 mature S. chinensis individuals in the LXS and DLS populations using Chinese brushes and stored in sterile plastic tubes. The pollen samples were maintained at 4°C and quickly transported to Damingshan Mountain, where the hand pollination was conducted with the DMS population. Pollen was transferred to DMS stigmas within 6 h. 30 mature individual plants in the DMS population were hand-pollinated with an average of 100 flowers per treatment. Each plant was randomly assigned to a crossing treatment and in total of 200 flowers were performed. All hand-pollinated stigmas were saturated with pollen. To exclude natural pollinators, plants were bagged with fine nylon mesh before flowering. Each hand-pollinated flower was also emasculated before the stigma became receptive to prevent selfing. Pollen was transferred directly from donor flower anthers onto receptive stigmas until the stigmas were saturated. The date was selected to ensure that each flower was encountered at the onset of its stigmatic surface receptivity. 30 naturally open pollinated DMS plants were selected as the control (Bossuyt, 2007; Holme, James & Hoffmann, 2008). Fitness measurement Fitness of the F1 progeny was defined as the relative reproductive success of a genotype as measured by survival, fecundity and other life history parameters (Molina-Montenegro et al., 2013) and was indicated by seed number per fruit, seed weight, seed size germination days, total germination rate, seedling emergence rate (Baker, Richards & Tremayne, 1994) and seedling biomass (Du, Yang, Guan & Li, 2016). In October 2009, S. chinensis fruits were collected and air-dried, and seeds were collected from the dried fruits. Thousand-seed weights were measured using an electronic balance with an accuracy of 0.0001 g. The starch, lipid, and protein contents of seeds were measured using anthrone–sulfuric acid colorimetric, Soxhlet extractor, and UV-spectrophotometric methods, respectively (Song, Cheng, Jiang, Long & Huang, 2008). In March, 2010, DMS × DLS (pollen) seeds (hereafter, DLSH), DMS × LXS (pollen) seeds (hereafter, LXSH), and control seeds were germinated in an illuminated incubator (Jiangnan Instrument Inc., Ningbo, China) with 30/15°C and 12 h/12 h light/dark cycles at 80% humidity. Seeds were immersed in H2SO4 for 3 min, rinsed with sterilized water, and surface sterilized with 70% ethanol. Seeds were immersed in sterilized water and incubated at 28ºC for 2 days. Fifty seeds were placed into 3-mm deep silicon sand. Seeds were covered with moist filter paper to prevent them from drying out. Three replicates were used with a total of 150 seeds for each treatment. Seeds were considered to be germinated when their radicle length exceeded 2 mm (Hussain, Aljaloud, Alshammafy, Karimulla & Al-Aswad, 1997), and germination was recorded daily for 100 days. Germination-related indices were calculated as follows, according to previously described methods (Cai, 2008): (i) germination days were recorded as the number of days after sowing when the seeds begin germinating; (ii) total germination rate (%) = total number of germinated seeds on the 100th day / total number of seeds used for germination experiment × 100 %. In March 2010, S. chinensis seeds of F1 DLSH, F1 LXSH, and control progeny were immersed in H2SO4 for 3 min, rinsed with sterilized water, and surface sterilized with 70% ethanol. Seeds were immersed in sterilized water and incubated at 28ºC for 2 days. Seeds were planted 2-cm deep into soil-filled pots. Three seeds were planted per pot, and a total of 50 pots were used for each treatment. Sufficient tap water was added every day. One hundred days after planting, the seedling emergence rate was defined as the percentage of healthy seedlings that emerged, with a hypocotyl appearing on or above the soil surface (Demir & Mavi, 2004; Bolek, 2010). After the performance measurement described below, plants were harvested and divided into leaves, stems, and roots. Plant material was oven-dried at 105°C for 1 h and then at 80°C until a constant weight was reached. The leaf, stem, and root biomasses were weighed with a balance to an accuracy of 0.1 mg, and the total biomass of seedlings was subsequently calculated. Seedling photosynthetic physiological performance measurement In May 2010, healthy F1 DLSH, FI LXSH, and control seedlings were transplanted into pots, with each pot containing one seedling. In August 2010, we conducted in-situ photosynthetic trait measurements on a sunny day using a mature middle leaflet at the same position across plants, using a GFS-3000 Portable Gas Exchange Fluorescence System (Heinz Walz GmbH, Effeltrich, Germany). The photosynthetically active radiation (PAR) was maintained at 800 μmol m-2 s-1 using a red-blue LED light source, and the temperature was maintained at 25°C with a relative humidity of 70% inside the leaf measurement chamber. The CO2 concentration within the chamber was maintained at 400 µmol mol-1. We recorded the net photosynthetic rate (Pn), stomatal conductance (Gs), transpiration rate (Tr), and intercellular CO2 concentration (Ci) between 08:30 and 11:30. Three leaves per plant were chosen, and six consecutive measurements were performed (Li, Liao, Guan, Wang & Zhang, 2012). To construct light response curves, we obtained all photosynthesis measurements between 09:30 and 11:00 (Beijing time) on a mature leaf from each plant with a leaf temperature of 25°C, a CO2 concentration of 400 ppm, and a relative humidity of 70%. We used a red-blue LED light source attached to the system to produce steady photosynthetically active radiation (PAR). Prior to the measurements, we allowed the mature leaf to acclimate under a PAR of 2000 μmol m-2 s-1 for 30 min to avoid photo-inhibition. As soon as the value stabilized, we exposed the leaves to a series of PAR values for 20 min or so in the following order: 2000, 1500, 1200, 1000, 800, 600, 400, 200, 100, 50, 20 and 0 μmol m-2 s-1. The temporal interval between each concentration was 3 min. We fitted the entire photosynthetic light response curve in Origin 8.0 (OriginLab, Northampton, MA, USA) as a binary linear equation by calculating the maximum of the net photosynthetic rate (Pn) as Pmax. We utilized the following definitions. The light intensity at the maximum Pn value (Pmax) was defined as the light saturation point (LSP). The light intensity at a zero Pn value was defined as the light compensation point (LCP). The Pn at a maximum PAR of zero was defined as the dark respiration point (Rd). Chlorophyll fluorescence parameters under strong light (1200 μmol photons m-2 s-1) were measured between 12:00 and 14:00 with a portable chlorophyll fluorometer (OS30P, Opti-Science Inc., Hudson, NH, USA). Measurements were performed on the third undamaged adult leaf from the top of

As of 2023, about 10.1 percent of the population in Beijing was between 30 and 34 years of age, whereas only 1.6 percent were aged 85 and above. Beijing is the capital city of China and after Shanghai, the second largest city in the country. Beijing’s age distribution A broad age distribution of Beijing’s inhabitants reveals that a comparatively large share of the total population is of working age, while few children live in the city. This gap becomes even more obvious when looking at the age distribution by five-year groups: While the age cohorts between 25 and 39 accounts for 28 percent of the population, the age group between 0 and 19 accounts for only 14.6 percent. Two main reasons are responsible for this gap: On the one hand, many young people in their early working years move to the city and search for job opportunities; on the other hand, the motivation for having children in the city is low, mostly due to economic reasons. Many migrant workers from outside the city even leave their children behind when searching for better jobs in the city. Not only is the national average age distribution more balanced in this regard, but also that of many other larger cities. Prospects for the future In recent years, Beijing’s municipal government was determined to limit population inflow into the city. At the same time, former national measures of birth control were gradually relaxed and restrictions for migrants to take their children with them were partially lifted, which already had a positive effect on the number of children in the youngest age cohorts. However, given the very high costs of living in Beijing and its low attractiveness to family-oriented people, it is very likely that the average age of the population will increase quickly, leading to all the challenges and opportunities of a rapidly aging society.

Abstract

The third wave of the Asian Barometer survey (ABS) conducted in 2010 and the database contains nine countries and regions in East Asia - the Philippines, Taiwan, Thailand, Mongolia, Singapore, Vietnam, Indonesia, Malaysia and South Korea. The ABS is an applied research program on public opinion on political values, democracy, and governance around the region. The regional network encompasses research teams from 13 East Asian political systems and 5 South Asian countries. Together, this regional survey network covers virtually all major political systems in the region, systems that have experienced different trajectories of regime evolution and are currently at different stages of political transition.

The mission and task of each national research team are to administer survey instruments to compile the required micro-level data under a common research framework and research methodology to ensure that the data is reliable and comparable on the issues of citizens' attitudes and values toward politics, power, reform, and democracy in Asia.

The Asian Barometer Survey is headquartered in Taipei and co-hosted by the Institute of Political Science, Academia Sinica and The Institute for the Advanced Studies of Humanities and Social Sciences, National Taiwan University.

Geographic coverage

13 East Asian political systems: Japan, Mongolia, South Koreas, Taiwan, Hong Kong, China, the Philippines, Thailand, Vietnam, Cambodia, Singapore, Indonesia, and Malaysia; 5 South Asian countries: India, Pakistan, Bangladesh, Sri Lanka, and Nepal

Analysis unit

-Individuals

Kind of data

Sample survey data [ssd]

Sampling procedure

Compared with surveys carried out within a single nation, cross-nation survey involves an extra layer of difficulty and complexity in terms of survey management, research design, and database modeling for the purpose of data preservation and easy analysis. To facilitate the progress of the Asian Barometer Surveys, the survey methodology and database subproject is formed as an important protocol specifically aiming at overseeing and coordinating survey research designs, database modeling, and data release.

As a network of Global Barometer Surveys, Asian Barometer Survey requires all country teams to comply with the research protocols which Global Barometer network has developed, tested, and proved practical methods for conducting comparative survey research on public attitudes.

Research Protocols:

• National probability samples that give every citizen in each country an equal chance of being selected for interview. Whether using census household lists or a multistage area approach, the method for selecting sampling units is always randomized. The samples may be stratified, or weights applied, to ensure coverage of rural areas and minority populations in their correct proportions. As such, Asian Barometer samples represent the adult, voting-age population in each country surveyed.

A model Asian Barometer Survey has a sample size of 1,200 respondents, which allows a minimum confidence interval of plus or minus 3 percent at 95 percent probability.

Mode of data collection

Face-to-face [f2f]

Research instrument

A standard questionnaire instrument containing a core module of identical or functionally equivalent questions. Wherever possible, theoretical concepts are measured with multiple items in order to enable testing for construct validity. The wording of items is determined by balancing various criteria, including: the research themes emphasized in the survey, the comprehensibility of the item to lay respondents, and the proven effectiveness of the item when tested in previous surveys.

Survey Topics: 1.Economic Evaluations: What is the economic condition of the nation and your family: now, over the last five years, and in the next five years? 2.Trust in institutions: How trustworthy are public institutions, including government branches, the media, the military, and NGOs. 3.Social Capital: Membership in private and public groups, the frequency and degree of group participation, trust in others, and influence of guanxi. 4.Political Participatio: Voting in elections, national and local, country-specific voting patterns, and active participation in the political process as well as demonstrations and strikes. Contact with government and elected officials, political organizations, NGOs and media. 5.Electoral Mobilization: Personal connections with officials, candidates, and political parties; influence on voter choice. 6.Psychological Involvement and Partisanship: Interest in political news coverage, impact of government policies on daily life, and party allegiance. 7.Traditionalism: Importance of consensus and family, role of the elderly, face, and woman in theworkplace. 8.Democratic Legitimacy and Preference for Democracy: Democratic ranking of present and previous regime, and expected ranking in the next five years; satisfaction with how democracy works, suitability of democracy; comparisons between current and previous regimes, especially corruption; democracy and economic development, political competition, national unity, social problems, military government, and technocracy. 9.Efficacy, Citizen Empowerment, System Responsiveness: Accessibility of political system: does a political elite prevent access and reduce the ability of people to influence the government. 10.Democratic vs. Authoritarian Values: Level of education and political equality, government leadership and superiority, separation of executive and judiciary. 11.Cleavage: Ownership of state-owned enterprises, national authority over local decisions, cultural insulation, community and the individual. 12.Belief in Procedural Norms of Democracy: Respect of procedures by political leaders: compromise, tolerance of opposing and minority views. 13.Social-Economic Background Variables: Gender, age, marital status, education level, years of formal education, religion and religiosity, household, income, language and ethnicity. 14.Interview Record: Gender, age, class, and language of the interviewer, people present at the interview; did the respondent: refuse, display impatience, and cooperate; the language or dialect spoken in interview, and was an interpreter present.

Cleaning operations

Quality checks are enforced at every stage of data conversion to ensure that information from paper returns is edited, coded, and entered correctly for purposes of computer analysis. Machine readable data are generated by trained data entry operators and a minimum of 20 percent of the data is entered twice by independent teams for purposes of cross-checking. Data cleaning involves checks for illegal and logically inconsistent values.

Objectives: A previous study identified a significant association between several single nucleotide polymorphisms (SNPs) and lumbar disc degeneration (LDD) in Indians. To validate the association between these SNPs and specific lumbar spine pathologies, we performed a case-control study in Chinese Han population. Design: An observational study. Setting: University Hospital in Nanning, China. Participants: This study included 428 LDD patients and 400 normal controls. Outcome measures: LDD Patients were classified into 4 subgroups, including disc herniation only (Subgroup 1), discopathies or/and osteochondrosis associated with disc herniation (Subgroup 2), spinal stenosis or/and spondylolisthesis (Subgroup 3), and degenerative scoliosis (Subgroup 4). This study was conducted by examining 2 aspects: environmental factors and SNP genotyping. The environmental factors were evaluated with a questionnaire survey including questions about BMI, smoking habits, the physical demands of their job and exposure to vibrations. Rs1337185, rs5275, rs5277, rs7575934, rs3213718 and rs162509 were genotyped using a PCR-based Invader assay. Results: The physical workload was significantly higher in patients with lumbar spine pathologies than in the normal controls (P=0.035). The genotype and allele frequencies of rs1337185 and rs162509 were significantly different between the LDD patients and the normal controls. In rs1337185, a significant association was found between the C allele (risk allele) and the presence of disc herniation (OR=1.80; 95%CI= 1.21-2.68; P=0.003, adjusted P=0.012), and the presence of spinal stenosis and spondylolisthesis (OR=1.92; 95%CI=1.29-2.89; P= 0.001, adjusted P=0.004). In rs162509, the G allele represented 1.58-fold increased risk to suffer from disc herniation (OR=1.58; 95%CI=1.20-2.09; P=0.001, adjusted P=0.004). Conclusions: The SNPs rs1337185 in COL11A1 and rs162509 in ADAMTS5 are associated with susceptibility to LDD. The C allele of rs1337185 is risky for patients who are affected by lumbar pathologies such as disc herniation, stenosis and spondylolisthesis. The G allele of rs16250 represents a risk factor for the development of disc herniation.

By 2035, over 34 million people are projected to call Shanghai home. To reduce this number, the Chinese Government implemented population controls for the city in 2017 which aimed to limit the population living in the administrative area of Shanghai municipality to just around 25 million people in 2035.

Megacity – Shanghai

As China’s cities become increasingly urbanized, the demographic of this megacity has also changed considerably over the years, with more and more Chinese locals and foreigners opting to dwell in Shanghai for work and cultural opportunities. A huge proportion of residents in the city originate from other regions in China. Over 39 percent of the city’s residents are long-term migrants and Shanghai host’s many foreigners and expats.

A global financial hub as well as the largest city by population, Shanghai is located on China’s central coast, making it an ideal location to accommodate the world’s busiest container port. The economic contribution of the city to China is significant - Shanghai’s gross domestic product contribution amounted to almost 4.7 trillion yuan in 2023. Despite recent restrictions to land made available for construction, the value of investment in real estate development in Shanghai has continued to increase. To mitigate the effects of its high population, the city has stated it will intensify environmental protection measures.

In 2024, there were around 719 million male inhabitants and 689 million female inhabitants living in China, amounting to around 1.41 billion people in total. China's total population decreased for the first time in decades in 2022, and population decline is expected to accelerate in the upcoming years. Birth control in China From the beginning of the 1970s on, having many children was no longer encouraged in mainland China. The one-child policy was then introduced in 1979 to control the total size of the Chinese population. According to the one-child policy, a married couple was only allowed to have one child. With the time, modifications were added to the policy, for example parents living in rural areas were allowed to have a second child if the first was a daughter, and most ethnic minorities were excepted from the policy. Population ageing The birth control led to a decreasing birth rate in China and a more skewed gender ratio of new births due to boy preference. Since the negative economic and social effects of an aging population were more and more felt in China, the one-child policy was considered an obstacle for the country’s further economic development. Since 2014, the one-child policy has been gradually relaxed and fully eliminated at the end of 2015. However, many young Chinese people are not willing to have more children due to high costs of raising a child, especially in urban areas.

BackgroundIn March 2022, the Omicron variant of SARS-CoV-2 spread rapidly in Shanghai, China. The city adopted strict non-pharmacological intervention (NPI) measures, including lockdown (implemented on March 28 in Pudong and April 1 in Puxi) and blanket PCR testing (April 4). This study aims to understand the effect of these measures.MethodsWe tabulated daily case counts from official reports and fitted a two-patch stochastic SEIR model to the data for the period of March 19 to April 21. This model considered two regions in Shanghai, namely Pudong and Puxi, as the implementation of control measures in Shanghai was carried out on different dates in these regions. We verified our fitting results using the data from April 22 to June 26. Finally, we applied the point estimate of parameter values to simulate our model while varying the dates of control measure implementation, and studied the effectiveness of the control measures.ResultsOur point estimate for the parameter values yields expected case counts that agree well the data for both the periods from March 19 to April 21 and from April 22 to June 26. Lockdown did not significantly reduce the intra-region transmission rates. Only about 21% cases were reported. The underlying basic reproduction number R0 was 1.7, and the control reproduction number with both lockdown and blanket PCR testing was 1.3. If both measures were implemented on March 19, only about 5.9% infections would be prevented.ConclusionsThrough our analysis, we found that NPI measures implemented in Shanghai were not sufficient to reduce the reproduction number to below unity. Thus, earlier intervention only has limited effect on reducing cases. The outbreak dies out because of only 27% of the population were active in disease transmission, possibly due to a combination of vaccination and lockdown.

In 2024, the mortality rate in China ranged at approximately 7.76 deaths per 1,000 inhabitants. The mortality rate in China displayed an uneven development over the last two decades. This is mainly related to the very uneven sizes of Chinese age groups, improvements in health care, and the occurrence of epidemics. However, an overall growing trend is undisputable and related to China's aging population. As the share of the population aged 60 and above will be growing significantly over the upcoming two decades, the mortality rate will further increase in the years ahead. Population in China China was the second most populous country in the world in 2024. However, due to several mechanisms put into place by the Chinese government as well as changing circumstances in the working and social environment of the Chinese people, population growth has subsided over the past decades and finally turned negative in 2022. The major factor for this development was a set of policies introduced by the Chinese government in 1979, including the so-called one-child policy, which was intended to improve people’s living standards by limiting the population growth. However, with the decreasing birth rate and slower population growth, China nowadays is facing the problems of a rapidly aging population. Birth control in China According to the one-child policy, a married couple was only allowed to have one child. Only under certain circumstances were parents allowed to have a second child. As the performance of family control had long been related to the assessment of local government’s achievements, violations of the rule were severely punished. The birth control in China led to a decreasing birth rate and a more skewed gender ratio of new births due to a widely preference for male children in the Chinese society. Nowadays, since China’s population is aging rapidly, the one-child policy has been re-considered as an obstacle for the country’s further economic development. Since 2014, the one-child policy has been gradually relaxed and fully eliminated at the end of 2015. In May 2021, a new three-child policy has been introduced. However, many young Chinese people today are not willing to have more children due to high costs of raising a child, especially in urban areas.

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Poultry Eggs Market Size 2024-2028

The poultry eggs market size is forecast to increase by USD 83.25 billion at a CAGR of 5.6% between 2023 and 2028.

The market is experiencing significant growth due to the rise in global egg consumption and production. This trend is driven by increasing population and changing dietary preferences towards protein-rich foods. Strategies and new product launches by market companies are also contributing to market growth. However, disease outbreaks in poultry remain a major challenge for market players, as they can lead to significant production losses and increased costs. Implementing stringent biosecurity measures and investing in research and development for disease prevention and control are crucial for market participants to mitigate this risk. Overall, the market is expected to continue its growth trajectory, driven by increasing demand and innovative product offerings.

What will be the Size of the Poultry Eggs Market During the Forecast Period?

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The market In the US continues to experience robust growth, driven by population expansion and shifting consumer preferences toward healthier food options. Eggs, as a versatile and affordable source of protein, vitamins, minerals, and essential nutrients, are increasingly integrated into various culinary applications, from kitchen staples like baked items and breakfast dishes to food industries, service sector offerings in cafés, restaurants, and fast-food chains. Consumer demand for eggs is influenced by factors beyond nutrition, with fitness and health-related reasons, economic factors, and ethical considerations also impacting purchase decisions. Trends In the market include a focus on natural and minimally processed eggs, such as organic, free-range, and omega-3-enriched varieties, reflecting growing concerns for animal welfare and moral and humane production methods.Product innovation remains a key driver, with new offerings addressing diverse consumer needs and preferences.

How is this Poultry Eggs Industry segmented and which is the largest segment?

The poultry eggs industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. ApplicationHouseholdCommercialProductShell eggsSpecialty eggsProcessed egg productsGeographyAPACChinaIndiaJapanNorth AmericaMexicoUSEuropeSouth AmericaMiddle East and Africa

By Application Insights

The household segment is estimated to witness significant growth during the forecast period.

The market witnessed substantial demand from the household segment in 2023, accounting for a significant market share. Consumer preference for healthy eating practices, particularly in developed countries, fuels the popularity of poultry eggs due to their high protein content. Urbanization and the increasing number of nuclear families further drive demand, as eggs offer convenience with minimal cooking time. In cold climatic regions, poultry eggs are preferred for their zinc content, which helps combat common winter illnesses. However, strict regulations regarding animal welfare standards, egg production procedures, environmental concerns, emissions, and waste management continue to influence market growth. Consumer health concerns and dietary trends also impact market dynamics.

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The Household segment was valued at USD 137.92 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 53% to the growth of the global market during the forecast period.

Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The Asia Pacific (APAC) the market is experiencing growth due to increasing health consciousness among consumers. Major markets for poultry egg consumption in APAC include China, Japan, and India. In 2023, China was the largest producer of poultry eggs, accounting for approximately one-third of global production. The rise in consumption can be attributed to negative publicity surrounding red meat and concerns regarding environmental and ethical issues in cattle and poultry farming. Eggs are an excellent source of protein, vitamins, minerals, and nutrients, making them a popular choice for consumers following health-conscious diets. The APAC the market is expected to continue growing due to the region's large population and increasing demand for affordable sources of protein.

Market Dynamics

Our poultry eggs market researchers analyzed the data with 2023 as the base year, alon

The gender or sex ratio in China has been a contentious issue since the introduction of the one-child policy in 1979, intended to limit the population of the country. Although the policy is no longer in place, the population gender difference throughout the country is still evident. In 2023, fifteen to nineteen-year-old children had the largest gender disparity of 115.3 males to every 100 females. Gender imbalance While the difference of gender at birth has been decreasing in the country over the past decade, China still boasts the world’s most skewed sex ratio at birth at around 110 males born for every 100 females as of 2023. That means there are about 31 million more men in the country than women. This imbalance likely came from the country’s traditional preference for male children to continue the family lineage, in combination with the population control policies enforced. Where does that leave the population? The surplus of young, single men across the country poses a risk for China in many different socio-economic areas. Some of the roll-on effects include males overrepresenting specific labor markets, savings rates increasing, consumption reducing and violent crime increasing across the country. However, the adult mortality rate in China, that is, the probability of a 15-year-old dying before reaching age 60, was significantly higher for men than for women. For the Chinese population over 60 years of age, the gender ratio is in favor of women, with more females outliving their male counterparts.

Background: We aimed to explore the relationship between lifestyle factors, cancer family history, and gastric cancer risk.Methods: We examined the association between lifestyle factors, cancer family history, and gastric cancer risk based on a population-based case-control study in Taixing, China, with 870 cases and 1928 controls. A lifestyle score was constructed considering body shape, smoking, alcohol drinking, tooth brushing habit, and food storage method. Unconditional logistic regression models were used to calculate odd ratios (ORs) and 95% confidence intervals (CIs).Results: Compared with participants with a lifestyle score of 0, subjects with a lifestyle score of 1 (OR 0.59, 95%CI 0.43–0.83), 2 (OR 0.42, 95%CI 0.30–0.59), 3 (OR 0.29, 95%CI 0.20–0.41), 4 (OR 0.20, 95%CI 0.13–0.32), or 5 (OR 0.10, 95%CI 0.04–0.22) had a lower risk of gastric cancer (P for trend < 0.001). Overall, 34% of gastric cancer cases (95%CI 27–41%) can be attributed to non-compliance with ≥3 healthy lifestyle. Family history of early-onset cancer is closely related to the occurrence of gastric cancer, with an OR ranging from 1.77 to 3.27. Regardless of family history, a good lifestyle is associated with a reduced risk of gastric cancer, with an OR value between 0.38 and 0.70.Conclusions: The early-onset cancer family history is closely related to the occurrence of gastric cancer and a good lifestyle is associated with a reduced risk of gastric cancer regardless of family history. Our results provide a basis for identifying and providing behavior guidance of high-risk groups of gastric cancer.

As of June 6, 2022, the novel coronavirus SARS-CoV-2 that originated in Wuhan, the capital of Hubei province in China, had infected over 2.1 million people and killed 14,612 in the country. Hong Kong is currently the region with the highest active cases in China.

From Wuhan to the rest of China

In late December 2019, health authorities in Wuhan detected several pneumonia cases of unknown cause. Most of these patients had links to the Huanan Seafood Market. With Chinese New Year approaching, millions of Chinese migrant workers travelled back to their hometowns for the celebration. Before the start of the travel ban on January 23, around five million people had left Wuhan. By the end of January, the number of infections had surged to over ten thousand. The death toll from the virus exceeded that of the SARS outbreak a few days later. On February 12, thousands more cases were confirmed in Wuhan after an improvement to the diagnosis method, resulting in another sudden surge of confirmed cases. On March 31, 2020, the National Health Commission (NHC) in China announced that it would begin reporting the infection number of symptom-free individuals who tested positive for coronavirus. On April 17, 2020, health authorities in Wuhan revised its death toll, adding 50 percent more fatalities. After quarantine measures were implemented, the country reported no new local coronavirus COVID-19 transmissions for the first time on March 18, 2020.

The overloaded healthcare system

In Wuhan, 28 hospitals were designated to treat coronavirus patients, but the outbreak continued to test China’s disease control system and most of the hospitals were soon fully occupied. To combat the virus, the government announced plans to build a new hospital swiftly. On February 3, 2020, Huoshenshan Hospital was opened to provide an additional 1,300 beds. Due to an extreme shortage of health-care professionals in Wuhan, thousands of medical staff from all over China came voluntarily to the epicenter to offer their support. After no new deaths reported for first time, China lifted ten-week lockdown on Wuhan on April 8, 2020. Daily life was returning slowly back to normal in the country.

Background and aimCoronary heart disease (CHD) is a chronic complex disease caused by a combination of factors such as lifestyle behaviors and environmental and genetic factors. We conducted this study to evaluate the risk factors affecting the development of CHD in Xinjiang, and to obtain valuable information for formulating appropriate local public health policies.MethodWe conducted a nested case-control study with 277 confirmed CHD cases and 554 matched controls. The association of the risk factors with the risk of CHD was assessed using the multivariate Cox proportional hazard model. Multiplicative interactions were evaluated by entering interaction terms in the Cox proportional hazard model. The additive interactions among the risk factors were assessed by the index of additive interaction.ResultsThe risk of CHD increased with frequent high-fat food consumption, dyslipidemia, obesity, and family history of CHD after adjustment for drinking, smoking status, hypertension, diabetes, family history of hypertension, and family history of diabetes. We noted consistent interactions between family history of CHD and frequent high-fat food consumption, family history of CHD and obesity, frequent high-fat food consumption and obesity, frequent high-fat food consumption and dyslipidemia, and obesity and dyslipidemia. The risk of CHD events increased with the presence of the aforementioned interactions.ConclusionsFrequent high-fat food consumption, family history of CHD, dyslipidemia and obesity were independent risk factors for CHD, and their interactions are important for public health interventions in patients with CHD in Xinjiang.

Although HIV caused one of the worst epidemics since the late twentieth century, China and the U.S. has made substantial progress to control the spread of HIV/AIDS. However, the trends of HIV/AIDS incidence remain unclear in both countries. Therefore, this study aimed to highlight the long-term trends of HIV/AIDS incidence by gender in China and the U.S. population. The data were retrieved from the Global Burden of Disease (GBD) database since it would be helpful to assess the impact/role of designed policies in the control of HIV/AIDS incidence in both countries. The age-period-cohort (APC) model and join-point regression analysis were employed to estimate the age-period-cohort effect and the average annual percentage change (AAPC) on HIV incidence. Between 1994 and 2019, we observed an oscillating trend of the age-standardized incidence rate (ASIR) in China and an increasing ASIR trend in the U.S. Despite the period effect in China declined for both genders after peaked in 2004, the age effect in China grew among the young (from 15–19 to 25–29) and the old age groups (from 65–69 to 75–79). Similarly, the cohort effect increased among those born in the early (from 1924–1928 to 1934–1938) and the latest birth groups (from 1979–1983 to 2004–2009). In the case of the U.S., the age effect declined after it peaked in the 25–29 age group. People born in recent birth groups had a higher cohort effect than those born in early groups. In both countries, women were less infected by HIV than men. Therefore, besides effective strategies and awareness essential to protect the young age groups from HIV risk factors, the Chinese government should pay attention to the elderly who lacked family support and were exposed to HIV risk factors.